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Conference Proceeding

2021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA2021) st IEEE 1 MI-SAT2021 25-27 MAY Tripoli – Libya

25 - YA

2021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA2021) IEEE 1St MI-STA2021

Organized by: Open University of Libya

Sponsored by:

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Preface

The 2021 IEEE 1st International Maghreb Meeting of the conference on Sciences and Techniques of Automatic control and computer engineering MI-STA2021 is an innovative Meeting organized in Tripoli city, Libya, May 25-27, 2021 MI-STA is an IEEE technically co-sponsored event devoted to explore emerging challenges and new concepts related to all aspects of automatic control and computer engineering, Computer Technologies and Applications, Renewable Energy, Smart Grid and Mechatronics, Electrical Power Systems and Communication Engineering. The MI-STA2021 is organized and sponsored by Open University of Libya. It is technically co-sponsored by IEEE Tunisia Section, IEEE Region 8 and Libya CS/SP joint chapter. Papers accepted and presented at IEEE 1St MI-STA2021 will be published in the conference proceedings and in IEEE Xplore Digital Library. Authors of selected papers accepted for publication in IEEE 1St MI-STA2021 proceedings will be invited to submit an extended version of their papers to the conference related journals. The MI-STA'2021 technical program has different types of sessions, three Keynote Speakers and one special session. MI-STA2021secretariat has received 279 submissions from 23 different countries. Each paper has been reviewed by at least two reviewers of the technical program committee which consisted of more than 170 scientists from more than 20 countries. The organization team has prepared a truly excellent technical program and together with reviewers have selected the 168 papers being presented at MI-STA2021 in 28 Regular Sessions. We acknowledge the variable contributions of the participants and their hard work in the preparation of their papers. A special thanks to all of our sponsors for their support in this important event and their contribution in making this meeting a complete success. We also would like specially to thank the members of organizing committee and technical program who helped with all the preparation required to make the conference a success. We hope that you will find the meeting to be productive and inspiring and it serves as a springboard to even greater participants’ collaborations. We wish you an enjoyable time at MI-STA 2021

MI-STA Organization Team

Tripoli- Libya

Location Radisson Blu Al Mahary Hotel Radisson Blu Al Mahary Hotel in Tripoli is situated in the heart of the city's diplomatic quarter, overlooking the dazzling Mediterranean Sea. Our superb waterfront location is a stone's throw from the city's most alluring attractions, and the airport is just a 30-minute drive away. Any trip to a city so rich in history should begin with a visit to one of the many museums. Start with the Archaeological Museum of Tripoli, which offers a variety of exhibitions on Libyan history, culture, and Islamic architecture. It's housed in the historic Red Castle fortress, which sits on the edge of the Old Town. Wander through the historic part of the city to the bustling Tripoli Medina, where you'll find an eclectic array of jewelry, clothes, and souvenirs. From the Medina, it's a short walk to the stunning Karamanli Mosque, which dates back to the 18th century. For days with a slower pace, lounge beside our gorgeous outdoor swimming pool, while sipping a cocktail from the Al Marsa Pool Bar.

Conference Web-Site https://mi-sta.org/

Conference Chairs

General Chairs: Abulgasim M. SHALLOF, Libya General Co-Chairs: Mohamed CHAABANE, Tunisia Steering Committee Chair: Amer Rageb ZEREK, Libya Organization Committee Chair: Adel Saad EMHEMMED, Libya Organization Committee Co-Chair: Maher KHARRAT, Tunisia Scientific Committee Chair: Kenz Amhmed Bozed, Libya Scientific Committee Co-Chair: Yassine Koubaa, Tunisia Technical Program Committee Chair: Ahmed J. Abougarair, Libya Registration Committee Chair Nasar Aldian Shashoa, Libya Open University Special Session Chair Milud A. Ghabar, Libya

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International Scientific Committee

• Yassine KOUBAA (Tunisia) • Youcef SOUFI (Algeria)

• Raja Syamsul ABDULLAH (Malaysia) • Tahar BAHI (Algeria)

• Abdelouaheb AITOUCHE, (France) • Ahmed TOUMI (Tunisia)

• Moez ALLOUCHE (Tunisia) • Tark Ghalut (UK)

• Salma AZZOUZI (Morocco) • Messaoud AMAIRI (Tunisia)

• Khouloud BEDOUD (Algeria) • Brahim MEZGHANI (Tunisia)

• Abderazek BEN ABDALLAH (Japan) • Hatem Elaydi (Palestine)

• Allaoua CHAOUI (Algeria) • Ibrahim Aref (UK)

• Lassaad SBITA (Tunisia) • Abdelkrim Meziane (Algeria)

• Abdelghani DJEDDI (Algeria) • Khaled Rabie (UK)

• Ahmed ELHAJJAJI (France) • Husi Géza (Hungary)

• Issa Tamer ELFERGANI (Portugal) • Sahbi Sidhom (France)

• Mohamed ELFITURI (Canada) • Fatima Laassiri (morocco)

• Said GROUNI (Algeria) • Mustapha Hatti (Algeria)

• Yousef JARADAT (Jordan) • Elfituri Lahemer (Canada)

• Ahmed RUBAAI (USA) • Ezzidin Aboadla (Malaysia)

• Mahmud H. MOHAMED (UK) • Lejdel Brahim (Algeria)

• Lazhar RAHMANI (Algeria) • Redouane Tlemsani (Algeria)

• Mahmud H. MOHAMED (UK) • Kamal Sehairi (Algeria)

• Abdellah KOUZOU (Algeria) • Rim Benammar (Tunisia)

• Fernando TADEO (Spain) • Noureddine Boujnah (Tunisia)

• Sundara. VAIDYANATHAN (India) • Imen Jammoussi (Tunisia)

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• Youcef SOUFI (Algeria) • Neila Mezghani (France)

• Tahar BAHI (Algeria) • Fathi Kallel (Tunisia)

• Ahmed TOUMI (Tunisia) • Mourad Elloumi (Tunisia)

• Tark Ghalut (UK) • Youssef Agrebizorgani (France) • Messaoud AMAIRI (Tunisia) • Mohsen Benammar (France)

• Brahim MEZGHANI (Tunisia) • Omar Naifar (Tunisia)

• Hatem Elaydi (Palestine) • Yassine Koubaa (Tunisia)

• Ibrahim Aref (UK) • Hamdi Gassara (France)

• Abdelkrim Meziane (Algeria) • Mounir Bennasr (France)

• Khaled Rabie (UK) • Salama Makni (Tunisia)

• Husi Géza (Hungary) • Marwa Chaabane (Tunisia)

• Sahbi Sidhom (France) • Med Benslima (Tunisia)

• Fatima Laassiri (morocco) • Husi Géza (Hungary)

• Mustapha Hatti (Algeria) • Faheem Bukhatwa (Arlanda)

• Elfituri Lahemer (Canada) • Nani Fadzilanaim (Malaysia)

• Ezzidin Aboadla (Malaysia) • Mohamed Syuhaimi (Malaysia) • Lejdel Brahim (Algeria) • Malika Mimi (Algeria)

• Redouane Tlemsani (Algeria) • Lekhchine Salima (Algeria)

• Kamal Sehairi (Algeria) • Radji Hamouda (Algeria)

• Rim Benammar (Tunisia) • Kais Bouallegue (Tunisia)

• Noureddine Boujnah (Tunisia) • Abdessattar Benamor (Tunisia) • Imen Jammoussi (Tunisia) • Sara Zatir (Algeria)

• Mohamedamin Regaieg (Tunisia) • Khalid Tarmissi (KSA)

• Triki Moncef (France) • Mohamed Elfituri (Canada)

• Allaoua Chaoui (Algeria) • Karim Dahech (Tunisia)

• Lassaad Sbita (Algeria) • Hend Eissa (UK)

• Lazhar Rahmani (Algeria) • Abdelnaser Elbreki (malaysia)

• Ahmed Rubaai (USA) • Miftah Irhoumah (France)

• Driss Mehdi (France) • Ismael Jannoud (Jordan)

• Hiroko Kawamorita (Turky) • Maher Kharrat (Tunisia)

• Ahmed Rhif (Tunisia) • Marwen Kermani (Tunisia)

• Kouzou Abdellah (Algeria) • Rahmani Lazhar (Algeria)

• Mohamed Bendaoud (Morocco) • Salima Lekhchine (Algeria)

• Ghaith Bouallegue (Tunisia) • Ahmad Manasrah (Jordan)

• Nadira Boukhatem (Algeria) • Abdallah Meraoumia (Algeria)

• Bukhatwa Bukhatwa (UK) • Fatima Zahra Messaoud (Algeria) • Hadi Nabipour Afrouzi (Malaysia) • Nabil Derbel (Tunisia)

• Hatem Trabelsi (Tunisia) • Zakaria Mohammad Shehab (Jordan) • Mourad Turki (Tunisia) • Ashraf Abdel Moneim Khalaf (Egypt) • Mohamed Ali Zeddini (France) • Ahmed Maher (Egypt)

• Gerard Van Rhoon (Netherlands) • Sawsan Albakoush (Tunisia)

Scientific Committee (Libya) • Adel S. Emhemmed • Ahmed J. Abougarair • Abdelhamid ALHASSI • Nasar Aldian Shashoa • Rasim Amer ALI • Sliman Yaklaf • Amer Daeri • Bashir Gelili • Ali I. Elgayar • Mustafa Alrefai • Abdelsalam M. Maatuk • Adel Abosdel • Youssef Gdura • Othman Sultan • Abosalah Elmehdi • Osama Alkishriwo • Salah Naas • Naser Alfed • Nadia Adem • El-Bahlul Fgee • Ali Ganoun • Fathi Fathi • Nouri Daw • Nassir Abuhamoud • Omar Mrehel • Ahmed Ishteewi • Nuredin Ahmed • Ali Ukasha • Adel Smeda • Chokri Rekik • Salah El-Bukhar • Tarak Maatoug • Abdussalam Baryun • Ahmed Lwgali • Mahmoud Elfandi • Wafa Eltarhouni • Osama Terfas • Younis Younis • Ali Elmelhi • Khalid Abdelkader • Ashraf Abourawy • Abdallah Aied • Abdulhamid Esuri • Abdelbaset Algiaryani • Abdulati Abdullah • Abdulhamid Sghayer • Elmahdi Elsherif • Nabil Drawil • Jamal Elfurdag • Mabrouka Ehtaiba • Abdulla Abograin • Hassan Aldeeb • Omar Abusaeeda • Omar Aldawibi • Ahmed Ashaibi • Ismail Issa • Tawfig Tawill • Mohamed Mansor • Abdulmajed Elbkosh • Nizar Ramadan • Sabri Mansour • Najmeddin Shtwi • Salah Sawan • Yousef Hwegy • Abdussalam Baryun • Mohamed Jalboub • Nadia Nsir • Mostafa Abuitbel • Mohamed Abounjeem • Otman Ali

• Mohammad Kassim • Othman Maklouf • Moustafa Abdalla • Alia Andi • Farha Alsaltami • Abdulhamid Sghayer • Ibtihal Elshami • Nafah Shebani • Nasir Burki • Saad Talha • Omar El-Sallabi • Said Elkhetali • Faraj Elmouadib • Hend Suliman • Salwa Elakeili • Mohamed Alrmah • Mohamed Hagal • Khalid Tarmissi • Ahmed Hammoda • Sawsan Albakoush (Tunisia) • Ibrahim Igniwa • Ali Elgayar • Ashraf Huwedi • Mahmud Mohamed • Issa Elfergani • Ahmed Toumi • Abdelsalam Maatuk • Khalid Aleja • Ahmed Maher • Fathi Algomati • Mohamed Edardar • Kheriya. Alhaddar • Mohsan Salah Eldkli • Akrem Aljehaimi • Kenz Amhmed Bozed • Hesham Ayad • Abdallah Aied • Haitham Ben Abdelmula • Taissir Y. Elganimi • Wajdi Besbas • Mohsan Salah Amara Eldakli • Fathi Hareb • RAMDAN M. A. KHALIFA • Bashir Khamoudi • Asmaa Abdeewe • Ali Maamar • Mustafa Agha • Ayad Keshlaf • Omar M. Bouzid • Ali Obaid • Faisal A. Elabdli • Neffati M. Werfalli • Musbah Elahresh • Amaal Omar Althini • Mohamed Elalem • Salahedin Rehan • Khaled Elgdamsi • Omar Sallabi • Abdelbaset M. Elghriani • Salem Sati • Abdalla Elmanife • Matouk Elamari • Mariam Emsaad • Othman Ali • Khaled Shalghum • Mohamed Elalem • Azeddien Sllame • Youssif Omar • Mohamed Musbah • Amer Rageb ZEREK

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Topics

▪ Advanced Control Systems Engineering ▪ Theoretical Computer Science

▪ Automatic Control Systems ▪ Database and Data Mining

▪ Automation and Supervision Systems ▪ Algorithms and Bioinformatics

▪ Circuits, Electronics & Micro-electronics ▪ Embedded System

▪ Control and Embedded Systems ▪ Artificial Intelligence

▪ Control of Electrical Vehicles ▪ Mobile Computing

▪ Control of Robotic Systems ▪ Modeling and Simulation

▪ Control, Automation and Diagnosis ▪ Natural Language Processing

▪ Fault Tolerant Control Systems ▪ Networking and Communications

▪ Fractional-Order Systems and Controls ▪ Big data analytics and artificial intelligence

▪ Intelligent Systems Control ▪ Industry 4.0, IoT, and digital twins

▪ Mechatronics and Robotics Systems ▪ Web and Internet Computing

▪ Modeling of Engineering Systems ▪ Software Engineering

▪ Networks and Electrical Machines ▪ Geographical Information Systems

▪ Nonlinear Theory and Application ▪ Computer Education

▪ Renewable Energy Conversion ▪ Information Systems and E-Government

▪ Robust and Adaptive Control ▪ Linear and Nonlinear Circuits and Systems

▪ Robotics and Intelligent Control ▪ Security and Information Assurance

▪ Signal and Image Processing ▪ Recent Trends in Information Technology

▪ Sliding Mode Control ▪ E–Learning

▪ Smart City Control ▪ Application of control in biomedical engineering

▪ Smart Grid Power System ▪ Power plant operation and control

▪ Renewable Energy and Smart Grid ▪ System identification and model validation

▪ Tele-Communication Engineering ▪ Sensors and sensor networks

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Table of Contents

A Channel Aggregation Algorithm for Cognitive Radio under Collision & Misdetection Constraints ...... 1 Emhamed Adaba, Mohamed Alkelsh, Fayez Zaki and Ehab Abdelhay1 Design and Performance Evaluation of Frequency Reconfigurable Antenna for 5G Wireless Communication Applications ...... 1 Abdalnaser Kaeib, Nafaa Shebani and Amaal Althini Decoupled SMC of DFIG Based Multi-Level Inverter ...... 2 Fatima Zahra Messaoud, Hamza Tédjini, Bachir Ouamri and Mahyar Abasi Comparison of PI, GMC and DMC Control for Reactor/Flash Unit Process ...... 2 Othman Bensaoud, Arash Tokhmechi and Nick Sargeant Measurement System and its Suitability for Examining Indoor Millimeter Wave Propagation at (28–33GHz) ...... 3 Ahmed Alabish, Abduelbaset Goweder and Ali Dowa Investigation and Verification of Acousto-Optic Modulator Performance ...... 3 Amal Boukar and Mohamed Shawesh Obtaining the Higher Excited States in Two Dimensions Using the Finite Difference Time Domain Method ...... 4 Huwaida Elgweri, Amal Hamed and Mohamed Mansor Design, Modeling and implementation of Smart grid using PROTEUS and Arduino ...... 4 Nuredin Ali Salem Ahmed , Hala Shaari and Adel Saad Emhemmed Effect of Large-scale PV system on Load Flow short circuit and harmonics in Libyan Electrical Network...... 5 Omar Mrehel, Alsadiq Alkeesh and Khaled Albgar Comparative Study on Effect of Different Wind Generator Types on Power Systems Stability ... 5 Omar. G. Mrehel, Alaa Shenbisha and Abdulaziz.S. Abdurasoul Effect of ELF fields on Public Health Case Study (220 and 400 KV lines) ...... 6 Amer Daeri, Samir Hamoda and Rajab Ibsaim Direct Sequence Spread Spectrum Technique for Multi-User Communication System Application ...... 6 Kheriya. F. Alhaddar, Hager Bishi and Somya. H.Alshepane Investigation the Performance of RF Satellite Link Model Using 32 QAM ...... 7

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Somya Alshepane, Kheriya. Alhaddar and Hager Bishi On the Theoretical Capacity of Cooperative Amplify and Forwards MIMO Sparse Code Multiple Access Systems ...... 7 Khadiga Eltira, Nariman Alawami, ِ abdelhamid Younis and Raed Mesleh Improvement of the Performance of Polar Codes by Using Successive Cancellation List Decoding With CRC ...... 8 Alia Andi, Orhan Gazi, Hiba Faraj and Afaf Abouzed Deep Learning Image Transfer by Simulation ...... 8 Abdussalam Ammar,Amira Ellafi, Kenz Bozed and Amer Zerek Design of Microstrip Patch Antenna Array for 5th Generation with High Gain and Wide Bandwidth ...... 9 Salwa Salim and Bashir Khamoudi Enhanced UWB Triangular Microstrip Patch Antenna Based on Ground Plane Modification ..... 9 Khaled Suleiman, Fatima Alazraq and Ahmed Alkrewi Deploying Risk-Based Access Control Model in Cloud Computing: Possibilities and Challenges ...... 10 Redia Houssein and Younis A Younis Adjusting Post-processing Approach for Very Short-Term Solar PV Power Forecasts ...... 10 Mohamed Abuella and Badrul Chowdhury Sub-harmonically pumped up-conversion mixers-based quantum barrier devices ...... 11 Mussa Elsaadi and D. P. Steenson A Proposed Model for Unequal- Plates MEMS Tunable Capacitor Actuators ...... 11 Mussa Elsaadi and Mazhar B. Tayel An Empirical Formula of Fringing Field Capacitance for MEMS Tunable Capacitor Actuators 12 Mussa Elsaadi, Mazhar Tayel and D. P. Steenson Online Learning during the COVID-19 Pandemic: Issues and Challenges ...... 12 Ebitisam Elberkawi, Abdelsalam Maatuk, Salma F. lharish and Wala M. Eltajoury Comparative the performance of TITO systems for Distillation column ...... 13 Mahmood M Olwane Olwane and Walid T. Shanab Shanab Machine Learning Approach to Detection of Offensive Language in Online Communication in Arabic ...... 13 Azalden Alakrot, Muftah Fraifer and Nikola S. Nikolov Effects of Household Appliances Magnetic leakage on Health ...... 14 Amer Daeri, Alejeli I Alhengari and Rajab Ibsaim

6G Mobile Communications Systems: Requirements, Specifications, Challenges, Applications, and Technologies ...... 14 Sliman KA. A Yaklaf, Khaled S. Tarmissi and Nasar Aldian Ambark Shashoa Ishikawa model for improving the use of brainstorming technique to elicit user requirements ... 15 Ola Azbaki , Mohamed Hagal and Abraheem Ramadan Optimum Design of a Hybrid Renewable Energy System Powering Mobile Radio Base Station in Libya ...... 15 Sabria Syour, Yosof Khalifa and Farag Alargt Cross-Coupled Microstrip Bandpass Filters With Finite Frequency Transmission Zeros ...... 16 Ghaith Mansour, Mohamad Kamal Abd Rahim and Hassan Aldeeb New Topology of Asymmetrical Nine-Level Cascaded Hybrid Bridge Multilevel Inverter ...... 16 Zeyad E.Abdulhamed, Abdulhamid H.Esuri and Nourdeen A.Abodhir Convergence Time Analysis of Border Gateway Protocol Using GNS3 ...... 17 Almekdad Abaid, Mahmoud Hraib, Abdulrazig Ben Ghazzi and Salem Sati Performance of 60 GHz DPSK-RoF-WDM System Using Optical DSB-SC for Long Distance Networks ...... 17 Abderraouf Fares, Kaddour Saouchi, Fatima Brik, Mohamed Okba Saouchi and Nadira Boukhatem Image Restoration Using Hybrid Technique Based on Noise Detection and Uncertainty ...... 18 Abdurahman Saleh, Farag Zbeda, Salem Salem and Said Albasheer Density and Degree Impact on Opportunistic Network Communications ...... 18 Mohamed Sati, Salah Shanab, Ali Elshawesh and Salem Sati Removing the Impulse Noise from Grayscaled and Colored Digital Images Using Fuzzy Image Filtering ...... 19 Mabroukah Hamid , Fatimah Hammad and Nadia Hmad Detecting SIMBox Fraud Using CDR Files And Neo4j Technology...... 19 Nassir Abuhamoud , Ibrahem Alsadi and Salwa Ali Intelligent Traceable Cargo System in High-mobility and Connection-less Environment ...... 20 Fawzia Abujalala, Asma Elmangoush and Majdi Ashibani Cooperative Amplify and Forward SSK Sparse Code Multiple Access System: Performance Analysis...... 20 Nareeman Jibreel, Khadiga Eltira, Abdelhamid Younis and Raed Mesleh Experimenting and evaluating the impact of DoS attacks on different SDN controllers ...... 21 Abdussalam Alashhab, Mohd Zahid, Ali Barka and Abobaker Albaboh

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Visual Object Categorization Using Combination Rules for Multiple Classifiers ...... 21 Inas Yosif and Azizi Abdullah Modelling & Simulation of Telecom Data Center Electrical Distribution Network Highly Penetrated with Non-Linear loads ...... 22 Hazem Zubi and Nada Hfouda Designing a mobile app to trace Covid-19using social networks ...... 23 Khaled Ben Hamed and Abdussalam Baryun Electro Magnetic Heating of Lung Tumors ...... 23 Emhmed Hnesh and Sayeh Elhabashi A New Method for Control of an Implantable Pump for Heart Failure Patients Using recursive DFT ...... 24 Mahmoud Elfandi, Kholoud El-Henqari and Ali Zayed GUI-PV Application Tool for Teaching Performance of PV System using MATLAB-Graphical User Interface Environment ...... 25 Ali Almaktoof, Nafaa Shebani and Ali Elfallah Investigation of Mutual Coupling Effect on Fault Location Using Fault Locator and Artificial Neural Network ...... 25 Mohamed Shahubi, Mustafa Elsherif and Alseddig Elzowawi Compact MM-Wave phased Quazi-Yagi Array Used for 5G Wireless Communications ...... 26 Abdulati Abdullah, Seraj Almuzoughi, Ahmed Elshoshi and Abderaof Elmrabet Recursive Least Squares Algorithm for MISO CARAMA Systems Utilizing Data Filtering ..... 26 Weiam Saheri Nasar Aldian Shashoa and Ahmed J. Abougarair Tracking Control with Hysteresis Compensation Using Neural Networks ...... 27 Mohamed Edardar and Ahmed J. Abougarair Direct Torque Control of a Series-Connected Induction Motor ...... 27 Ali M. Abbas and Abdussalam A. Khamis Separately Excited DC Motor Speed Control Simulation Case Studies ...... 28 Majd Hareb, Mohamed Ekhail and Fathi Hareb Economic evaluation of SWRO desalination plants using ERD powered by Off-Grid PV system ...... 28 Albashir Elfaqih and Said Belhaj Control of Epidemic Disease Based Optimization Technique ...... 29 Shada E. Elwefati, Ahmed J. Abougarair and Moftah M.Bakush Implementation of a Brain-Computer Interface for Robotic Arm Control ...... 29

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Ahmed J. Abougarair,Hanadi Gnan, Abdulhamid A. Oun and Saadedin Elwarshfani Statistical study and evaluation of six numerical methods to predict wind speed distribution parameters of the Weibull distribution function in Al- Aziziyah, Libya ...... 30 Hosni Ali, Rida Khamiss and Milod ZakariaA Ultrasound Image Speckle Reduction Based on Adaptive Image Decomposition Algorithm ..... 30 Osama Alkishriwo and Doua E. Algarguri Observer Empirical Optimization in Open and Closed Loop ...... 31 Asma Eswehli and Izziddien Alsogkier Factors Influencing the Use of On-Line Meeting Tools ...... 31 Ayad Ali Keshlaf, Abdulmonam A. Alahresh and Mustafa Kh. Aswad Feasibility Study of a Waste-to-Energy (WtE) Plant for Tripoli City, Libya ...... 32 Nouri Alkishriwi Nonlinear uncertain process monitoring ...... 32 Imen Hamrouni, Hajer Lahdhiri, Okba Taouali and Kais Bouzrara Study of the Algeria / Tunisia interconnection network stability by insertion a phase-shifting transformer (PST) ...... 33 Badri Rekik and Hocine Labar Utilizing ASCII Codes Redundancy for Data Compression...... 33 Musbah Mohammed Elahresh New Fuzzy Speed Controller for Dual Star Permanent Magnet Synchronous Motor ...... 34 Amirouche Elyazid, Hamoudi Yanis, Iffouzar Koussaila, Ghedamsi Kaci, Aouzellag Djamal and Houari Azeddine Reliable Estimation of On-Road Vehicles Motion Using Stereo Vision ...... 34 Hatem Elaydi, Hazem Abu Jalala and Iyad Abu Hadrous Bearing Fault Diagnoses Using Wavelet Transform and Discrete Fourier Transform with Deep Learning ...... 35 Ahmed Shomaki and Osama A. Alkishriwo Generating UML Class Diagram from Natural Language Requirements: A Survey of Approaches and Techniques ...... 35 Esra A. Abdelnabi, Abdelsalam Maatuk and Mohamed Hagal Sustainable Power Source for Off-grid Demostic load Modelling and Simulation using Matlab software ...... 36 Nouri Ali Daw and Abujafer Issa Comparison between the NB and SVM Methods for Multiclass Arabic Sentiment Analysis ..... 36

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Amna Elhawil, Youssef Trabelsi and Musbah Mahfoud Experimental Validations of Using Power Electronics for a Hybrid Vehicle Speed Control ...... 37 Eljaroshi Diryak, Ali Algaddafi , Mohamed Shaglouf and Saad Zied IoTGazePass: A New Password Scheme for IoT Applications ...... 37 Faheemah Alfard, Ayad Keshlaf and Omar Bouzid Modulation Classification Based on Statistical Features and Artificial Neural Network ...... 38 Anas ِ alarbi and Osama A. Alkishriwo Channel Estimation Based on Machine Learning Paradigm for Spatial Modulation OFDM ...... 38 Ahmed Badi, Taissir Elganimi, Osama Alkishriwo and Nadia Adem Performance investigation of the gas turbine with the combined power plant ...... 39 Montaser A. Qasem and Abdulgani Albagul Modeling and control of an interleaved boost DC-DC converter applied for PEM fuel cell ...... 39 Abdesselam Belkheir, Benaissa Amar, Bouchhida Ouahid, Boualaga Rabhi, Zellouma Laid and Benkhoris Mohamed Fouad A Simulation Based Analysis Study for DDoS Attacks on Computer Networks ...... 40 Mariam Abojella , Reema Saad and Azeddien Sllame Control of 48-Pulse Dynamic Voltage Restorer Using Tow Continuous Vector Controller ...... 40 Ali Al-Mathnani, Ali Lesewed, Rasim Ali and A.A Alsharef Performance Assessment on Backoff Contention Window for MANETs in Congested Area and Random Movement ...... 41 Omar Aldawibi, Sami Alahmar and Abdullatif Khrwat New Model of ARWCM Based on SDLC With Herman's Theorem Using Decision Tree Algorithm by Weka ...... 41 Ambarka Elghali A Modified Topology Of Asymmetrical 9-Levels Cascaded Multilevel Inverter ...... 42 Mohaned Nser A Ghamudi , Zeyad E.Abdulhamed and Abdulhamid H.Esur Comparison between IEEE 802.11 Module and UWB Multipath Channel Module IEEE 802.15.3a ...... 42 Tufik M. Buzid and Masoud M. Eddaghel Challenges and Factors Affecting Cloud Computing Adoption in Higher Technical Education Institutions in Libya ...... 43 Khalid Abdelkader, Rawad Aki, Sumaya Yedder and R. Arfa Determination of the Suitable Value of Resonance Point for Best Operation of Thyristor Controlled Series Capacitor ...... 44

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Karima Hawisa, Mohamed Jalbob and Mohamed Alganga Minimizing Delay of VoIP in MANET using Fuzzy Logic-based Decision Support System ..... 45 Abdusalam Yahya and Ashraf Abdalla Effects of HVDC Link on Small Signal Stability and Inter Area Oscillation for Multi Machines System and Tuning of PSS Using GA ...... 45 Omar G. Mrehel, Nouri Khalifa and Khaled Ghambirlou A Comprehensive Investigation into the Impact of Integrating High PV Penetration on The Libyan Network ...... 46 Mohamed.S.M Elzubi and Mohamed E. Kurdi Reduced Instruction Set Computer Design on FPGA...... 47 Mohamed M. Eljhani and Veton Z. Kepuska Adaptive Control of Nonlinear Systems Represented by Extreme Learning Machine (ELM) and the Fuzzy Logic Control (FLC) ...... 47 Abdunaser Abdusamad and Mohamed Aburakhis Stand-Alone Function Approximation Using Fractional Order Techniques ...... 48 Mohamed Aburakhis and Abdunaser Abdusamad Software Security Framework using the Combination of Use-Misuse Diagrams and Test Driven Development ...... 48 Abdelaziz O. Akhlaif, Abdelsalam M. and Salwa M. Elakeili Field oriented control of stepper motors for a mini heliostat tracking ...... 49 Sarr Marie Pascaline, Ndiaye Mouhamadou Falilou, Dieng Biram and Thiam Ababacar Improved Active Contour Model through Automatic Initialization: Liver Segmentation ...... 49 Toureche Amina, Laimeche Lakhdar, Bendjenna Hakim and Meraoumia Abdallah Effect of PV cells failure on solar power production based on sensitive characteristics deviations ...... 50 Oussama Tounsi, Mounia Samira Kelaiaia and Hocine Labar Comparison of PID and Artificial Neural Network Controller in on line of Real Time Industrial Temperature Process Control System ...... 50 Hafed Efheij and Abdulgani Albagul A New Approach to Optimal Wind Farm Layout Design Considering Wake Effect ...... 51 Mohamed B. Jannat and Aleksaandar Savic The Effect of Instruction Format on the CPU Performance ...... 51 Musbah M. Elahresh and Abdrazag A. Anan Pathloss Modelling for Next Generation of Millimeter Wave Communications ...... 52

Omar Abu Ella, Ahmed Anairia and Mohammed Zubia Performance Evaluation of Multimedia Streaming Applications in MPLS Network Using OPNET ...... 52 Reema Saad , Mariam Abojella and Azeddien Sllame Performance of Two-Port Dielectric Resonator Antenna Used for 5G mm-wave Applications .. 53 Abdulati Abdullah, Ahmed Elshoshi, Abderaof Elmrabet and Salwa Ahmed Using Partitioned-Based Method for Optimal Epsilon Parameter Extraction on Density-Based Clustering ...... 53 Hafsa Abdjalil Mansori, Omar M. Sallabi and Abdelsalam Maatuk Analysis and Evaluation QoS of VoIP over WiMAX and UMTS Networks ...... 54 Omar Shgeim, Albahlool Abood, Nasr Abosata, Hosam Alzawam, and Husam Haqaf Investigating the Impact of Different Data Representation with Several Classification Models on Magnetic Resonance Imaging (MRI) ...... 54 Sokena Elfallah, Ehab Elfallah Mohamed A. Abdallaand and Bilal Aljabour Nonlinear State Estimation of Power Plant System using State-Dependent Kalman Filter ...... 55 Salah Abokhatwa, Khaled Hadad and Reza Katebi Applying the Histogram of Oriented Gradients to Recognize Arabic Letters via Matlab ...... 55 Aisha Douma, Gökhan Şengül, Fathia G. Ibrahim Salem and Abdussalam Ali Ahmed Detection of Suspicious Activities of Human from Surveillance Videos Using Matlab ...... 56 Fathia G. Ibrahim Salem, Reza Hassanpour, Abdussalam Ali Ahmed and Aisha Douma Implementation of Stabilized Aircraft Control Surface using Inertial Sensors, MATLAB & Arduino ...... 56 Othman Maklouf, Aseel Mgig, Mohamed Ashawesh and Abdul Baset Eljubrani Wireless Communication and Control Systems: Case Study: Karthoom Water System ...... 57 Omer Zergalin, Yousef Ali and Fadel Lashhab BER Performance Comparison of M-PAM over AWGN and Fading Channels ...... 58 Hnady Almaktof, Amer Zerek, Amer Daeri and Fatima Laassiri Practical Investigation of Some Characteristics of the Solar Distillation System for Solar Water Desalination ...... 59 Eman Garmoud High Gain, High Efficiency and Wideband Double Dipoles Quasi -Yagi Antenna for 5G Millimeter-Wave Applications ...... 60 Moustafa M. Abdalla and Mohammed Al-Tounsi

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Performance Evaluation of the Impact of Mutual Coupling on DOA Estimation in Wireless Systems ...... 60 Moustafa M. Abdalla and Taissir Y. Elganimi A Comparison of Pattern Recognition Approaches for Recognizing Handwriting in Arabic Letters Using MATLAB ...... 61 Aisha Douma , Abdussalam Ali Ahmed, Gokhan Sengul, Johnson Santhosh, Omer S. M. Jomah and Fathia G. Ibrahim Salem Design Ultra-Wideband MIMO Antenna to meet 5G communication systems requirements ..... 61 Mohammed Ali Emhemmed and Ibrahim M Saleh Smart Energy Meter System Design & Simulation Presenting Electricity Theft Methods, Detection and Protection ...... 62 Hazem Zubi and Ahmed Alrmaih A Hovercraft Prototype for Landmine Detection ...... 62 Esraa Endesha and Hamza Muard and Youssef Gdura Automatic Posture and Limb Detection for Pressure Ulcer Risk Assessment ...... 63 Eman Elsharif, Nabil Drawil and Salaheddine Kanoun Improvement of Earthing System in Khoms New Gas Turbine Power Station ...... 64 Salahedin Elayeb, Alseddig Elzowawi, Khaled Milad, Hussain Salem, Faraj Alhadar and Salah Alteir Surface Wave Reduction in Integrated Microstrip Patch Antenna at 60GHz Band ...... 64 Adel Saad Emhemmed , Daw Ali Mohamed and Mahmoud Mohamed Almodi Modeling and Design of Reconfigurable Milt-Band Frequency Selective Surface ...... 65 Adel Saad Emhemmed, Luojen Jerbi and Nuredin Ali Ahmed Application of Offset Averaging Filters to enhance the tracking information for small moving targets ...... 65 Hamza Alzarok Information System For The Selection Of Optimal Modes By Two-Angle Electron Beam Treatment ...... 66 Valentina Lazurik , Salah Sawan, Valentin Lazurik and Vladimir Rudychev Performance Comparisons of Low-Power Low Noise CMOS Voltage Controlled Differential Ring Oscillators in 65nm Process ...... 66 Sami Bizzan, Abdulmoied Abdulbasit Omar ...... 66 and Alharari Alsori Alharari Effect analysis of the arthemitic code on some single baseline phase unwrapping techniques ... 67

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Tarek Bentahar, Youcef Soufi, Atef Bentahar and Riad Saidi Feature fusion using the Local Binary Pattern Histogram Fourier and the Pyramid Histogram of Oriented Gradient in iris recognition ...... 67 Wafa El-Tarhouni, Amina Abdo and Amina Elmegreisi Towards Net Zero Electric Energy For Tripoli University Hospital ...... 68 Ibrahim Mohamed Saleh and Ekram Omar F. Aljadidi RLS Identification Model of Bearing System ...... 68 Munya Arwin, Weiam Saheri, Nasar Aldian Shashoa and Ibrahim Jleta A Fuzzy Logic-based Decision Support System for Minimizing Delay of VoIP in MANET ..... 69 Abdusalam Yahya and Ashraf Abdalla A Performance Study of WIMAX OFDM Includes Space-Time Block Coding ...... 69 Ramdan Khalifa , Sliman Ka. A. Yaklaf and Khaled Elgantri Radio Propagation Models Comparison and Tuning for Long Term Evolution (LTE) Based on Experimental Data in Tripoli Libya ...... 70 Abdalraof Hams, Nagia Gaboua, Mostafa Abuitbel and Ismail Shrena Energy Generation Potential from Wind Power in the Southern Libyan Regions ...... 70 Omar G. Mrehel and Abduladem G. Salama Implementation of LED Based Spectrophotometer using SoC_FPGA ...... 71 Nada Alhamdi and Mohaned Aboudiah A Robust Color Image Watermarking Improvement Scheme Based on Image Normalization ... 71 Ali Ukasha, Ruqiya Alabid, Ibrahim Nasir and Fathi Alwafi Characterizing the effects of human body blokage and scattering objects for 31and 33 GHz indoor 5G link ...... 72 Amer Daeri, Ahmad Alabish and Ali S. Dowa DKED modelling of Human body blockage of 5G system link at 32 GHz ...... 72 Amer Daeri, Ahmad Alabish, Alyaseh Askir and Issa Ali Robust Control Strategy of Converters Used in a Photovoltaic Conversion Chain ...... 73 Bedoud Khouloud, Bahi Tahar and Merabet Hichem Trabecular Bone Microarchitecture Assessment and Fracture Risk Prediction Using Machine Learning Techniques: A Short Review ...... 73 Meriem Mebarkia , Abdallah Meraoumia , Lotfi Houam and Seddik Khemaissia Achieving Zero Cache-Miss based on the Control Flow Graph ...... 74 Musbah M. Elahresh and Abed Elatie Elaraby

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Performance Analysis of Cooperative Wireless Systems Based on DOSTBC, D-EOSTBC and AF Relaying Protocol ...... 75 Alhossin Aljadai, Amani Shoubar, Ahmed Kharaz and Masoud Eddaghel Converting Relational Database to Document Oriented NoSQL Cloud Database ...... 76 Nisreen Abo-Dabowsa, Abdelsalam Maatuk, Salwa Elakeili and M. Akhtar Ali Automatic Multiple Fan Controller Based on Smoke/Gas Sensitivity for Ventilation System .... 76 Ahmed N. Al-Masri, Salim Mohamed Hebrisha Naveen S. Elangkathir Packet scheduling with carrier aggregation for balancing QoS in LTE advanced Networks ...... 77 Heba Zegallai and Salem Awad Seawater Pumped Hydro Energy Storage in Libya Part I: Location, Design and Calculations ... 77 SALIH . M. ABDALLA, Saad. M. Saad, Naser El Naily and OMAR A . BUKRA An Improved Overcurrent-Distance Coordination Strategy to Minimize Cascaded Tripping Problem in Protection of Distribution Systems: A Case Study for The Libyan Distribution System ...... 78 Saad. M. Saad, Haytham Yousef Mustafa, Naser El Naily, A. Alagori , M. Kasail and Faisal A. Mohamed Hierarchical Multiscale Local Binary Pattern For Better Osteoporosis Detection ...... 78 Meriem mebarkia1, Abdallah Meraoumia, Lotfi Houam and Seddik Khemaissia Real-Time safety: Analyzing coordination time for networked automation systems ...... 79 Ahmed Altaher, Hassan Madi and Ashref Khashkusha High Confidence Clinical Posture Classification and Non-Clinical Posture Detection ...... 79 Eman Elsharif, Nabil Drawil, Zied Etleb and Abdel-Nisar Mooman Evaluating the Performance of Different PV Modules Technology Due to Dust Accumulation in Tripoli Region ...... 80 Eman M. Gnedi and Ibrahim M. Saleh Performance Analysis of Residential PV Systems in Tripoli ...... 80 Ekram Omar Aljadidi, Imad Sharfeddin and Muad Miloud Mhani Modeling and Control of Two Wheels Robot using Linear Quadratic Regulators ...... 81 Othman Aburas, Youssef Arebi, Atif Alnkeeb Modeling a Third Order Noninteracting Liquid Level Tank System Empirically and Theoretically ...... 81 Ausama H. Ahmed, Otman Tawerghi, Nouralddeen A. Meelad and Alhasan A. Abu-Raas Fuzzy logic Controller Based MPPT for a Photovoltaic System ...... 82 Guiza Dhaouadi, Ounnas Djamel , Soufi Youcef and Abdelmalek BOUDEN

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Controller Design for an Off-Grid Photovoltaic Inverter ...... 82 Abdulsalam Ali Alrimali, Akrem Mohamed Aljehaimi and Abdallah Suliman Hussein Strategies towards the Implementation of Blended Learning in Engineering Education ...... 83 Osama Terfas, Nadia Nuseir and Ahmed Maher Simulation of Stepper Motor Motion and Control ...... 83 Alejeli Alhengari and Abdelbaset Elhangari Normal Human Gait Analysis Of Right Lower Limb During Complete Cycle Using Sub- Parametric Fitting Functions ...... 84 Neffati Werfalli and Tawfeeq Aljali HidSave: An Image Steganography Technique based on SudoKu Method for Smartphones ...... 84 Mohamamd Z. Masoud, Yousef Jaradat, Ahmad Manasrah, Ismael Jannoud and Amer Zerek Popularity of Current Technology Trends in Arab Countries ...... 85 Yousef Jaradat, Mohammad Masoud, Ismael Jannoud, Ahmad Manasrah and Amer Zerek Non-contact method using laser scanning system to study some physics applications ...... 85 Mohamed Badri, Ramadan Said, Nadia Alrobah and Abdulbaset Abuazza Libyan Instructors' Perceptions of Integrating Canvas LMS in Libyan higher Education Institutions...... 86 Ahmed Maher and Nadia Nuseir Assessing Growth and Instability of Open Source Software Systems ...... 87 Ali Mresa and Abdussalam Baryun Performances of a photovoltaic grid connected systems ...... 87 Salima Lekhchine and Tahar Bahi Genetic Algorithm for Image Recognition in Smart Systems Applications ...... 88 Ismael Jannoud, Mohammad Masoud, Yousef Jaradat and Amer Zerek Using WACS Algorithm based on Center of Angle (COA) Technique in Assessing the Stability of the Libyan Grid ...... 88 Khaled A. Aljarrai and Hamid H. Sherwali The Impact of Connecting Large Scale Wind Farms to The Eastern Libyan Grid ...... 89 Mohamed Sherwali and Abdunasser Shamekh Multi-Frequency Electrical Impedance Tomography: Complex Sensitivity Matrix Performability Evaluation for Image Reconstruction ...... 89 Amani Soliman and Abulgasim Shallof Sensor less Speed Control of Synchronous Reluctance Motors Using Model Predictive control associated with Model Reference Adaptive System ...... 90

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Gati Miloud, Serhoud Hicham and Bekakra Youcef Open University Education: Opportunities and Challenges ...... 90 N. Boshandy, Dr . Z. Bogrenat The Open University of Libya, Reality and Prospects ...... 91 E. Ghlam The Libyan open university and its enroll applied education ...... 91 M. Bakush Applications for Technical Media in Open Education ...... 92 M. Ghabar, Dr. N. Nseer, Dr. A. Maher Virtual Labs Application in Open Education ...... 92

O. Aboukhder, Dr. M. Rammah, Dr. M. Ghabar ...... 92

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Abstracts

IEEE 1St- MI-STA2021 25-27/5/2021

A Channel Aggregation Algorithm for Cognitive Radio under Collision & Misdetection Constraints ID 2 Authors Emhamed Adaba, Mohamed Alkelsh, Fayez Zaki and Ehab Abdelhay Abstract — Cognitive radio (CR) is a form of wireless communication in which a transceiver can intelligently detect which communication channels are in use. Upon the result of the detection, the system instantly moves into vacant channels while avoiding occupied ones. To improve the capacity of CR systems, the unused sub-channels by primary user (PU) could be aggregated. However, when secondary user (SU) system aggregates more channels, more collisions may occur. This collision occurs due to the PU back to reuse its channels during SU transmission on them. Moreover, there are other reasons for collisions as misdetection which happens when wrongly detected absence of PU may occur as well. In this paper a Proposed Channel Aggregation Algorithm is introduced in which the CR data rate is maximized by aggregating multiple channels for the SU while satisfying the minimum collision requirements. Moreover, channel capacity is maximized under collision constraints. Matlab simulation is conducted to implement the proposed algorithm and the rustles showed that, very low collision probability was observed as compared to previous work. The capacity of CR was also improved as well.

Design and Performance Evaluation of Frequency Reconfigurable Antenna for 5G Wireless Communication Applications

ID 3 Authors Abdalnaser Kaeib, Nafaa Shebani and Amaal Althini

Abstract— A reconfigurable antenna has become a vital element in modern communication systems to meet the requirements of 5G networks such as high rate and large capacity, also to do multi-functions in one device. The target of this paper is to design a frequency reconfigurable antenna with microstrip technology to operate over 5G bands. The researchers proposed antenna which is designed on FR-4 substrate where the dielectric constant is 4.4 as for the thickness and loss tangent are 0.8mm, and 0.02 respectively. Three switches are employed to achieve the reconfigurabilty of the proposed antenna. Based on the three states of switches, the researchers evaluated the performance of the designed antenna that included different parameters i.e., return loss, gain, and radiation efficiency .

IEEE 1St- MI-STA2021 25-27/5/2021

Decoupled SMC of DFIG Based Multi-Level Inverter

ID 4 Authors Fatima Zahra Messaoud, Hamza Tédjini, Bachir Ouamri and Mahyar Abasi Abstract—This work describes a nonlinear robust control based sliding mode, applied to rotor side converter of a doubly fed induction generator (DFIG). We use the decoupled strategy to control separately the active and reactive power produced by the DFIG. The feeding part is charged by a five levels neutral point clamped (NPC) inverter

Comparison of PI, GMC and DMC Control for Reactor/Flash Unit Process

ID 8 Authors Othman Bensaoud, Arash Tokhmechi and Nick Sargeant

Abstract—In distillation column, an essential objective of a control system should be to keep product compositions at their desired levels. Since distillation is a very energy intensive process, good control will also lead to minimizing energy cost. This paper presents different control algorithm that have been applied to a reactor/flash unit process. Model predictive control (MPC) is implemented and tested on the model of process. Then follows with a number of comparisons of set point tracking and disturbance rejection performance between DMC (dynamic matrix control), GMC (Generic nodal control) and PI controllers. Despite the fact that PI controller is the most popular and robust control, not all industrial processes could be controlled by PI controllers. For multivariable and non-linear processes some advanced controls strategies are necessary to design good controllers.

IEEE 1St- MI-STA2021 25-27/5/2021

Measurement System and its Suitability for Examining Indoor Millimeter Wave Propagation at (28–33GHz) ID 9 Authors Ahmed Alabish, Abduelbaset Goweder and Ali Dowa Abstract—This study is the continuation of a research carried out by Alabish etal [1]. The purpose of this study is to determine the suitability of system measurements on indoor radio wave propagation at (28:33GHz) which might be used by 5G communication. This paper presents some experimental work to evaluate the effects of system measurements on short range links at (28:33GHz). To the best of our knowledge, no research has yet been examined the suitability of measurement systems at this frequency range. In this paper, a previous measurement system called (NVA) used by Alabish etal [1] is adopted. Another measurement system is suggested. A set of experiments along with some obtained results are presented. The obtained results reveal that the suggested measurement system is suitable for measuring the impact of scattering objects around indoor links in the millimeter wave band (28– 33GHz)

Investigation and Verification of Acousto-Optic Modulator Performance

ID 11 Authors Amal Boukar and Mohamed Shawesh

Abstract — This paper investigates the work of an acousto-optic modulator (AOM). The first part of the experiment seeks to provide practice in aligning of the AOM modulator and measure the diffraction efficiency into the first order which is found to be (85%) in total agreement with the manual operation. The relative phases of the m=0, m=+1, m= -1 diffraction order is measured to have π phase shift relative to un diffracted beam. The transfer function of the AOM from experiment data is found to have a curve which follows a sine squared curve that obtained by theoretical measurement. The basic properties of the modulator are also measured which include, Bragg diffraction angle, speed of sound, modulation depth, frequency response and the results are compared to the theoretical results.

IEEE 1St- MI-STA2021 25-27/5/2021

Obtaining the Higher Excited States in Two Dimensions Using the Finite Difference Time Domain Method ID 12 Authors Huwaida Elgweri, Amal Hamed and Mohamed Mansor Abstract — In this paper we present a new numerical procedure using the finite difference time domain method to obtain the higher radial excited states wave functions of two dimensional potentials and their corresponding energy eigenvalues. This procedure is based on an improvement of the iterative process of the initial guess wave function to force it to lead to any desired excited states rather than the ground state. In this improved method the even and the odd excited states calculated separately by classifying the initial guess wave function using the symmetric properties to even parity wave functions which contain even numbers of lines of zeros and odd parity wave functions which contain odd numbers of lines of zeros. The technique is illustrated by its application to a two dimensional simple harmonic oscillator.

Design, Modeling and implementation of Smart grid using PROTEUS and Arduino ID 13 Authors Nuredin Ali Salem Ahmed , Hala Shaari and Adel Saad Emhemmed Abstract—Electricity is one of the fundamental necessities of human beings, which has many uses in our day-to-day life. It is used for different purposes like domestic, industrial and agricultural. The biggest challenge facing electricity distribution is data collection and meter reading. Right now, meter reading is collected manually which give scope for corruption and human error in reading, moreover the wastage of manpower and resources of utility. Prepaid Energy Meter has been implemented in several countries. In fact, the disadvantage of the system is the behavioral control of the users. Moreover, recharging should be carried out on the meter. The problem occurs when consumers leave their premises and electrical pulses are discharged. That's why we need a system to control the electrical pulse wherever they are. In this work, a prepaid energy meter was proposed, implemented and simulated using PROTEUS software. The system was designed using ATmega128 as a microcontroller and GSM technology is advancement over conventional energy meter, which enables consumer to effectively manage their electricity usage. Additionally, it evaluates the accuracy of voltage and current measured by means of this model. Our Suggested model of the prepaid power meter produces the lowest error compared to actual voltage and current. The proposed system replaces traditional meter reading methods and enables remote monitor and control the meter readings regularly not manually. Also, it alerts the consumer when the energy consumption exceeds above the set limit and alerts the utility company if there is any theft that might be happened.

IEEE 1St- MI-STA2021 25-27/5/2021

Effect of Large-scale PV system on Load Flow short circuit and harmonics in Libyan Electrical Network ID 14 Authors Omar Mrehel, Alsadiq Alkeesh and Khaled Albgar

Abstract — The connection of Photovoltaic (PV) generator to electrical grids greatly affects the performance of existing networks. Where the penetration of PV solar system will impose significant technical barriers for the effective operation of power systems. Power injections from PVs change network power flows, modifying energy losses and voltage profile, short circuit level, harmonics of the system. Proper locations of PVs in power systems are important to obtain the maximum potential benefits. The impact of PV should be taken into account when planning PV interconnection. Therefore, this paper investigates the impact of four large- scale PV solar power plants connected to Libyan electrical grid, exactly at Bin-Waleed electrical network loop. Load flow analysis, in order to check the loaded lines, and bus voltages, on the Ben-Walid electrical network, and short circuit level were analyzed with and without the presence of photovoltaic (PV) power plants. In addition, The Total Harmonic Distortion of Voltage (THDv) at PCC will be recorded and the obtained THDv values will be compared with the recommended voltage distortion limits (IEEE Std. 519-1994) The simulation is performed under full load condition using NEPLAN software

Comparative Study on Effect of Different Wind Generator Types on Power Systems Stability ID 16 Authors Omar. G. Mrehel, Alaa Shenbisha and Abdulaziz.S. Abdurasoul Abstract— There exist many kinds of wind generator that have different design and operation, since the dynamic behavior of these generators are different the power grid transient stability will be directly affected based on these different generator types; therefor the impact of each generator type on system stability of electrical network has become an interesting research issue. The paper presents a case study assessing the impact of different wind type technology on the transient Stability of power systems. Simulation analyses for three main generators used in wind turbine system have been carried out: which are the Constant Speed Wind Turbines (CSWT) with induction generator, Variable Speed Wind Turbines with Direct Drive Synchronous Generator (DDSG) and variable speed wind turbines with Doubly Fed Induction Generator (DFIG) on transients of electrical grids, were performed by replacing the traditional synchronous machine by one of these wind generators in the IEEE 14 bus network,, the change in rotor angle of generator 2, busses voltage, reactive power, and the Critical Clearing Time CCT for each case during and after fault is outlined and compared. In addition, using the STATCOM device to improve the behavior of Constant Speed Wind Turbines CSWT on transient stability is also investigated, and the impact of voltage level at the Point of Common Coupling (PCC) on system stability was included in this research work.

IEEE 1St- MI-STA2021 25-27/5/2021

Effect of ELF fields on Public Health Case Study (220 and 400 KV lines)

ID 17 Authors Amer Daeri, Samir Hamoda and Rajab Ibsaim

Abstract- For the last two decades there has been a lot of concern about the possible effects of Extremely Low Frequency (ELF) electric and magnetic fields on human health. Many studies have been done by many organizations all over the world to investigate the possible effects of these fields and a number of standards have been developed by some organizations such as the International Commission on NonIonizing Radiation Protection (ICNIRP) and the Institute of Electrical and Electronics Engineers (IEEE) as well as many other international bodies. Most of the studies concluded that the risk of exposure to these field is very weak especially the correlation between exposure to these fields and diseases such as cancer. This paper presents the results of field measurements that have been done on selected high voltage lines in some areas of Libya so to measure the ELF electric and magnetic field strengths associated with these lines and check the obtained results against the standard levels set by the ICNIRP. The obtained results in general were well below the standard set limits

Direct Sequence Spread Spectrum Technique for Multi-User Communication System Application ID 19 Authors Kheriya. F. Alhaddar, Hager Bishi and Somya. H.Alshepane Abstract—Wireless communication via direct sequence spread spectrum (DSSS) was first experimented in the late 1800’s as a low probability detection (LPD) communication technique for military application; it was used by the military to embed transmitted secret messages below the noise floor to prevent detection and interception. However, DSSS has also found application in the non-military communication systems and has been widely used in the existing wireless communication standards. This paper investigates the performance of DSSS from the point of view probability of for DSSS signals based on the Bit Error using DSSS Spread with the number of users while chips per bits are fixed as well as various chips per bit and fixed users. Monte Carlo method using MATLAB V. 2019a is used to simulate the behavior of communication systems that use the binary phase shift keying (BPSK).

IEEE 1St- MI-STA2021 25-27/5/2021

Investigation the Performance of RF Satellite Link Model Using 32 QAM ID 22 Authors Somya Alshepane, Kheriya. Alhaddar and Hager Bishi

Abstract— In this paper, analysis and enquiry of the performance of the satellite system for the x band using 32 QAM digital modulation technique. This category of digital modulation technique is used in many practical applications, including current wireless technologies as well as offering high data rate transmission without increasing the bandwidth compared with other digital modulation techniques. Satellite communication system model is modelled using Matlab Simulink. The achieved results of the simulation such as power spectra, constellation diagrams, the relation between bit error rate (BER) against the amplifier, losses and signal to noise ratio (SNR) are discussed. This paper describes some results by using tests performed on the x-band satellite communication system model at 4 GHz, 8 GHz, and 12 GHz bands to investigate the effect of gain, attenuation and SNR on the BER.

On the Theoretical Capacity of Cooperative Amplify and Forwards MIMO Sparse Code Multiple Access Systems ID 25 Authors Khadiga Eltira, Nariman Alawami, ِabdelhamid Younis and Raed Mesleh Abstract—Novel capacity analysis for cooperative amplify and forward (AF) sparse code multiple access (SCMA) ultiple–input multiple–output (MIMO) system is presented in this study. SCMA is the code domain approach of Non–orthogonal multiple access (NOMA) schemes that attracted substantial research interest in the past few years. SCMA is combined with MIMO techniques and studied for cooperative AF network. In particular, spatial multiplexing (SMX), Spatial modulation (SM) and Space shift keying (SSK) MIMO techniques are considered. Theoretical capacity formulas are derived for the overall system and substantiated through Monte Carlo simulation results over variant fading channel distributions. As well, the conditions under which the theoretical capacity can be achieved are analyzed and discussed. Reported results reveal that AF–SCMA-SSK system outperforms other techniques and near capacity performance can be achieved over Rayleigh fading channel.

IEEE 1St- MI-STA2021 25-27/5/2021

Improvement of the Performance of Polar Codes by Using Successive Cancellation List Decoding With CRC ID 26 Authors Alia Andi, Orhan Gazi, Hiba Faraj and Afaf Abouzed

Abstract— A successive cancellation list (SCL) decoding algorithm to improve the performance of polar codes is discussed. Compared with classical successive ancellation decoding algorithms, SCL concurrently produces at most 푳 best candidates during the decoding process to reduce the chance of missing the correct code word. However, the SCL will increase hardware complexity, which prevents the efficient implementation. This paper investigates polar codes with a proposed Mixture of list decoding and CRC to improve the performance of the system further. The complexity of this algorithm is 푶(푳푵풍풐품 푵), where 푵 and 푳 are the code length and the list size, respectively. Simulation results of SCL decoding with CRC over binary erasure channel and additive white gaussian noise channel show a significant performance improvement

Deep Learning Image Transfer by Simulation

ID 27 Authors Abdussalam Ammar,Amira Ellafi, Kenz Bozed and Amer Zerek Abstract - The image classification is a classical problem of image processing, computer vision and machine learning fields. In this paper we study the image classification using deep learning with Neural style transfer that has been a high risk application for deep learning, make attention from and advertising the effectiveness to both the academic prisons and the general public. However, we have found by removal experiments that optimizing an image in the way neural style transfer does, we can even factor out the deepness (multiple layers of exchange linear and nonlinear transformations) all together and have neural style transfer working to a certain range. We present the VGG-19 Artistic Type Neural Algorithm, which can convert and recombine the image quality and style of natural images. This algorithm allows us to produce new images of high perceptual quality that combine the content of an arbitrary photograph with the appearance of numerous well-known portrait. Our results provide new insights into the deep image representations learned by Convolutional Neural Networks (CNN) and demonstrate their potential for high level image synthesis and manipulation.

IEEE 1St- MI-STA2021 25-27/5/2021

Design of Microstrip Patch Antenna Array for 5th Generation with High Gain and Wide Bandwidth ID 28 Authors Salwa Salim and Bashir Khamoudi Abstract—The near future 5G wireless/mobile communication systems may adopt 60- GHz millimeter waveband as one of main operating frequencies for its advantages of higher achievable transmission rate and wider available bandwidth, when compared with ones for 4G/3G/2G communication systems. In this paper, a design of microstrip antenna array working at the central frequency of 60-GHz waveband is proposed where an advanced structure array consists of two "Y" shaped branches, which are connected through an outside annular feeding line. On each "Y" shaped branch, there are two lines of three linearly collected rectangular patches. This antenna array was simulated using a powerful software called High-Frequency Structure Simulator (HFSS). The simulation results, demonstrates the important parameters such as resonance frequency, return losses, bandwidth, VSWR, input impedance, directivity, gain and radiation pattern of the array. The simulation has been shown that the presented array with a small size (27mm x 27mm) can achieve high Gain and wide bandwidth at operating frequency of 60 GHz

Enhanced UWB Triangular Microstrip Patch Antenna Based on Ground Plane Modification ID 29 Authors Khaled Suleiman, Fatima Alazraq and Ahmed Alkrewi Abstract— This paper presents the design and simulation of microstrip patch antenna operating at Ultra-Wideband (UWB) range. The designed antenna consists of a triangular patch feeding by a 50 Ω standard microstrip line. The matching was provided by optimizing the feed line width and the size of two rectangular slots on the partial ground plane. The proposed antenna was designed with a Rogers RT/Duroid 5880 substrate (19×24.5×1.58mm3) having relative permittivity and loss tangent of 2.2 and 0.0009, respectively. The modified ground plane technique was used instead of the full ground plane to improve and transit from the traditional narrow band to wider bandwidth. Meanwhile, a parametric study of the proposed triangular shaped patch antenna was introduced to find the prospective effect on its performance, and to provide an actual performance indication once the proposed antenna is modeled and measured in the next phase. The proposed antenna was successfully simulated with the help of CST Microwave Studio 2017. The obtained results showed that the designed antenna attained a good return loss (<-10 dB) over BW of 17.6GHz, i.e., from 2.9 GHz – 20.5 GHz. The simulated antenna performance presented five different resonant frequencies at 5.85 GHz, 8.51 GHz, 11.97GHz, 14.68GHz and 18.37 GHz. The antenna had omnidirectional radiation patterns with a proper gain for UWB applications.

IEEE 1St- MI-STA2021 25-27/5/2021

Deploying Risk-Based Access Control Model in Cloud Computing: Possibilities and Challenges ID 30 Authors Redia Houssein and Younis A Younis Abstract—The importance of cloud computing has increased due to its capabilities and features, which could facilitate its users with. Cloud computing is a full package of virtual servers that can be utilized by customers and cloud service providers to store and manipulate their data. It is a new computer model that provides computing infrastructure resources as on-demand electronic services. The cloud’s bounties need to be protected in terms of the ways it can be accessed. An access control model, could control access to such a dynamic environment. Although cloud computing provides unique features for users, it brings new challenges to data security and access control such as unauthorized access with possibilities of data leakage. Since traditional access control models were designed for particular environments and could not be deployed directly in the cloud without security investigations, risk-monitoring models are quite new models that trying to overcome the cloud security constraints. Risk-based access control models provide many security solutions to risk management in dynamic environments such as cloud computing. This paper illustrates an extensive investigation to access control models and displays several riskbased access control systems. Moreover, it looks at the possibility and challenges that make a risk-based access control deployed in a cloud computing environment.

Adjusting Post-processing Approach for Very Short-Term Solar PV Power Forecasts ID 31 Authors Mohamed Abuella and Badrul Chowdhury Abstract—The solar energy resources are rapidly increase their shares into the generation fleet of electric power systems. Therefore, accurate solar power forecasts are a vital requirement for an economical, reliable and stable operation of these power systems. In this paper a post-processing adjusting approach is implemented to adjust and improve the intra-hourly forecasts of the PV solar power output for three stations with different climate patterns in the United States. Thus, very short-term forecasts of multiple horizons are generated by several individual models, and then these diverse forecasts are post-processed using the adjusting approach. The performance of the adjusting approach is evaluated by adopting the out-of-sample test for intra-hour forecasts of different temporal and spatial resolutions over a year. The evaluation is also conducted with a variety of performance metrics. The results indicate that the forecasts from the adjusting approach have the highest accuracy. Index Terms—Adjusting approach, combine, post- process, solar power forecast, ramp events.

IEEE 1St- MI-STA2021 25-27/5/2021

Sub-harmonically pumped up-conversion mixers-based quantum barrier devices ID 32 Authors Mussa Elsaadi and D. P. Steenson Abstract— This work investigates the prospective performance of single quantum barrier junctions based on sub-harmonically driven mixers. Both ADS and HFSS are employed to evaluate the performance of quantum barrier devices and optimize prior to fabrication. The output powers and conversion efficiencies are explored for two different designs. The first design aimed at 180 GHz showing an output power of -7dBm, while the second design operates at 110GHz demonstrating -0.5dBm of output power. The objective was to develop and evaluate high power up-converters and to explore the conversion efficiencies for direct output upconverters where a power amplifier may not be economically desirable or available. Comparisons with optimized designs based on main-stream Schottky based approaches are used for benchmarking output powers and efficiencies.

A Proposed Model for Unequal- Plates MEMS Tunable Capacitor Actuators

ID 33 Authors Mussa Elsaadi and Mazhar B. Tayel

Abstract— The purpose of this paper is to investigate and analyse a two co-centralized unequal-length plates based tunable capacitor actuators by means of introducing a convenient distribution for computing the lines of force contours of the electric field. In that a semi-elliptic contour trajectories inside and outside the plates are considered once a bias voltage between these two plates is applied where the maximum value for the normalized length (i.e., the plate length with respect to the height separating the two plates) is determined, which in turn not only indicates that the fringe field effect no longer can be accounted beyond such terminated value, but facilitates the numerical performance in terms of the electrostatic force and the balancing voltage as well.

IEEE 1St- MI-STA2021 25-27/5/2021

An Empirical Formula of Fringing Field Capacitance for MEMS Tunable Capacitor Actuators ID 34 Authors Mussa Elsaadi, Mazhar Tayel and D. P. Steenson Abstract—The structural dimensions of MEMS actuators are comparable to the gap separating the electrodes, and this in-turn implies significant fringing field capacitance which should be considered when computing the actual electrostatic force. A number of different formulae have been presented in the literature to account for such effects; however this work aims to summarise these analytical models and to find an empirical formula to simplify the computation of the fringing field induced effect on the electrostatic force actuation.

Online Learning during the COVID-19 Pandemic: Issues and Challenges Ebitisam Elberkawi, Abdelsalam Maatuk, Salma F. lharish ID 35 Authors and Wala M. Eltajoury Abstract— Covid-19 has been declared by the World Health Organization a pandemic that poses a new threat to humanity. This has resulted in a global close-down of several operations, including education events. This led universities to migrate their education systems from traditional to online systems using elearning educational platforms. This study aims to identify the most relevant issues and difficulties facing the use of e-learning from the viewpoint of university students. It also observers their opinions and measures their level of satisfaction and readiness to use the e-learning methods available in Libya. A descriptive method has been conducted and an online questionnaire was sent to collect data from students to explore the challenges facing them in e-learning during coronavirus pandemic lockdown. The research community consists of students from six faculties at the Libyan International Medical University (LIMU). The statistical analysis of the data was executed using SPSS. The mean and standard deviation of all questionnaire items are recorded and analyzed. Through the analysis of the results, the social challenge comes at the forefront with a large percentage, followed by students' problems in terms of their impact on e-learning. The challenges that arise from the lecturers are not as effective as social and student challenges. In general, an average of more than or equal to 3.44 was obtained through the four challenges, which are associated with a high degree of acceptance and thus each of them has a substantial influence on e-learning.

IEEE 1St- MI-STA2021 25-27/5/2021

Comparative the performance of TITO systems for Distillation column ID 37 Authors Mahmood M Olwane Olwane and Walid T. Shanab Shanab Abstract—The main target for any industrial process is to improve the efficiency of a system whilst reducing the cost. Previous researchers have addressed different control methods by tuning various types of control structures to improve distillation column processes. This paper discusses the design of a PID controller to control TITO distillation columns and improve its performance. Transfer functions have been taken form Wood and Berry and Garrido et al.2010. By comparing the results acquired by different modified controlling methods used namely process perfect, mismatch with disturbance tuning the methods using First Order Pulse Time Delay (FOPTD) improved the performance of the system.

Machine Learning Approach to Detection of Offensive Language in Online Communication in Arabic ID 39 Authors Azalden Alakrot, Muftah Fraifer and Nikola S. Nikolov Abstract—This paper presents the results of several ML experiments, conducted with a dataset of YouTube comments in Arabic. The experiments aim at studying the impact of various text preprocessing, feature-extraction and feature-selection techniques on the accuracy of a document classifier for detection of offensive language in online communication in Arabic. Regarding data pre-processing, our experiments focus on filtering out noisy characters and normalising inconsistencies present in casual online writing in Arabic. The combined effect of these data preprocessing techniques and a few feature-selection methods is then evaluated by training document classifiers. The ultimate goal of this study is to recommend an optimal workflow for training such document classifiers.

IEEE 1St- MI-STA2021 25-27/5/2021

Effects of Household Appliances Magnetic leakage on Health ID 41 Authors Amer Daeri, Alejeli I Alhengari and Rajab Ibsaim Abstract—many organizations and scholars have rang the bell of warning for the effects of the electromagnetic fields that might be of a hazard on human wellbeing. Based on these concerns international organizations concerned with human health like the World health organization (WHO), the International Commission on Non-Ionizing Radiation Protection (ICNIRP) and the Institute of Electrical and Electronics Engineers (IEEE) as well as many other international bodies set standards to the limit of exposer to these fields generated by electrical and communication equipment.This paper presents the results of field measurements of the magnetic field leakage intensity that have been done on some of the electric house hold appliances that in daily use and associate the measured results with the internationally set limits. The obtained results from all the field tests in general were well below the standard set limits, where the range of the magnetic leakage was between 0.02 to 17.45 microtesla (µT)

6G Mobile Communications Systems: Requirements, Specifications, Challenges, Applications, and Technologies ID 42 Authors Sliman KA. A Yaklaf, Khaled S. Tarmissi and Nasar Aldian Ambark Shashoa Abstract— Five Generation (5G) Wireless networks is planned to be free from wireless world limitations of the previous generations. Now it is necessary to move beyond 5G and design a new architecture that make incorporation to satisfy new needs at both individuality and societally levels for new technologies. In beyond Six Generation (6G) mobile communications, need to some issues to be addressed, which are lower latency, higher data rate, quality of service (QoS) and higher system capacity compared to 5G system. The need to move to 6G mobile communication networks are motivated which is the goal of this paper. The expected applications of 6G mobile communication technologies are presented. The goals directions and challenges are outlined for 6G.

IEEE 1St- MI-STA2021 25-27/5/2021

Ishikawa model for improving the use of brainstorming technique to elicit user requirements ID 44 Authors Ola Azbaki , Mohamed Hagal and Abraheem Ramadan

Abstract— The process of generating ideas can be difficult if there are a number of participants. Consequently, many researchers are trying to develop ways to facilitate this process, and despite these efforts, weak organization and reduced critical process of generating ideas still prevail. This paper presents a technique that contributes to improving the process of generating ideas based on the brainstorming technique, where Ishikawa Model is adopted and refined to improve the generation process in a way that contributes to solve the mentioned problems

Optimum Design of a Hybrid Renewable Energy System Powering Mobile Radio Base Station in Libya ID 46 Authors Sabria Syour, Yosof Khalifa and Farag Alargt

Abstract— Current work presents an optimum design of a hybrid renewable energy system (HRES) for the purpose of powering mobile base stations in Libya using renewable energy sources. HRES including wind turbine, PV panels, batteries, diesel generator, and grid were modeled in order to get the optimum configuration of the designed HRES. Homer software were used for such analysis. One of the economic measures used for the evaluation of such HRES is the cost of energy, COE, it was found that, such cost varies from 0.106 to 0.154 $/kWh for grid connected HRES. And it varies from 0.184 to 0.263 $/kWh for standalone HRES located in remote and low populated areas. On the other hand, each single BS would save the environment from about 14,924 kg of CO2 and 63 kg of SO2 in Sabha-Libya.

IEEE 1St- MI-STA2021 25-27/5/2021

Cross-Coupled Microstrip Bandpass Filters With Finite Frequency Transmission Zeros ID 47 Authors Ghaith Mansour, Mohamad Kamal Abd Rahim and Hassan Aldeeb

Abstract—This paper presents four-pole and six-pole crosscoupled microstrip bandpass filters. Each filter consists of tapped input/output feed lines and square open-loop microstrip resonators. A pair of transmission zeros is obtained by coupling of apart resonators. The presence of these transmission zeros highly improves the selectivity of the filters. The proposed filters are designed to operate at 2.0GHz with a fractional bandwidth of 0.05. The lower transmission zeros are at 1.93 and 1.94GHz whilst the upper transmission zeros are at 2.16 and 2.06GHz for the four-pole and six-pole filters respectively. The proposed filters are simulated using CST and AWR microwave Office CAD tools. The simulated results, which are based on different techniques, are in a good agreement.

New Topology of Asymmetrical Nine-Level Cascaded Hybrid Bridge Multilevel Inverter ID 48 Authors Zeyad E.Abdulhamed, Abdulhamid H.Esuri and Nourdeen A.Abodhir

Abstract— recently the researchers in multilevel inverter (MLI) have interested in reducing the number of switches and sources with acceptable total harmonic distortion (THD %) of the output voltage waveform to reduce losses and costs. This paper present a new concept of asymmetrical cascaded hybrid bridge multilevel inverter (ACHB-MLI) to produce nine-level output waveform with only seven switches and two DC supplies instead of sixteen switches and four DC supplies used in the conventional cascaded hybrid bridge multilevel inverter (CHBMLI). The proposed topology is investigated under phase disposition pulse width modulation technique (PD-PWM) and the results have been compared with conventional cascaded multilevel inverter. The simulation results are provided using MATLAB Simulink.

IEEE 1St- MI-STA2021 25-27/5/2021

Convergence Time Analysis of Border Gateway Protocol Using GNS3 ID 51 Authors Almekdad Abaid, Mahmoud Hraib, Abdulrazig Ben Ghazzi and Salem Sati Abstract—Border Gateway Protocol is a path vector protocol. BGP is commonly used by Internet Service Providers. This protocol is considered as exterior protocol. BGP connects different Autonomous System via the internet. As the global internet traffic is rising with the increase in web applications. Most of these applications impact by delay. One of the delay sources over the internet which caused by the BGP routing protocol. BGP delay comes from the convergence time. This paper demonstrates an analysis of BGP convergence time and BGP timers or intervals. This paper analysis BGP convergence based on keepalive and hold timers. In addition, the paper considers the most important interval of route advertisement and update delay. Moreover, the paper takes into account link events such as failover and link failure mechanisms. The simulation result shows that the keepalive should be greater than 10 seconds. Furthermore, the optimum value of route advertisement should be between 30 to 60 seconds. Finally, paper results show that the delay of link failure detection based on the keepalive of BGP increases the convergence delay of the BGP system.

Performance of 60 GHz DPSK-RoF-WDM System Using Optical DSB-SC for Long Distance Networks ID 52 Authors Abderraouf Fares, Kaddour Saouchi, Fatima Brik, Mohamed Okba Saouchi and Nadira Boukhatem Abstract— In this paper, we investigate the feasibility of a Wavelength-Division Multiplexing Radio over Fiber system, using Differential Phase Shift Keying modulation with an Optical Double Side-Band Suppressed Carrier for long distance networks. The proposed system was implemented in Optisystem and evaluated based on the analysis of the Q-factor and the Bit Error Rate (BER). 60 GHz is chosen because it represents the future band of the 5G and its applications. The simulation results obtained indicate that the laser’s power of 5 dBm allows the propagation over a distance of 2520 Km when the differential coding is used ,and over distance of 1620 Km when it’s not used.

IEEE 1St- MI-STA2021 25-27/5/2021

Image Restoration Using Hybrid Technique Based on Noise Detection and Uncertainty ID 53 Authors Abdurahman Saleh, Farag Zbeda, Salem Salem and Said Albasheer Image enhancement is one of the most important steps of digital imagesـــ Abstract processing to restore a corrupted image with some types of noise. In this paper the restoration method includes suppression of impulse noise from gray scale images using hybrid technique which is “Morphological Opening and Modified Enhanced Recursive Median Filter” based on noise detection and uncertainty. The first step of the proposed technique is detecting whether the pixel is corrupted or not, then a Morphological Opening is applied on corrupted pixels only. A second detection step and uncertainty process will be applied to the resulting image from the first step, then a Modified Enhanced Recursive Median Filter will be applied on the corrupted pixels to suppress a very high density of noise. Processing time of the proposed technique is very short comparing to Modified Enhanced Recursive Median Filter. The performance of the proposed technique has been measured using Peak Signal to Noise Ratio and Mean Square Error.

Density and Degree Impact on Opportunistic Network Communications ID 55 Authors Mohamed Sati, Salah Shanab, Ali Elshawesh and Salem Sati Abstract—Opportunistic networks provide a way of wireless communication and connectivity between smart devices. The opportunistic wireless communication between two met devices commonly accomplished by using radio links such as WiFi and Bluetooth. This paper considers the node degree and density analysis for distributed opportunistic wireless communications using Wi-Fi and Bluetooth radio. This work analyzes the influence of network density on the link probability and resource concentrates on opportunistic wireless communications. We present a modeling and simulation study framework for distributed opportunistic wireless communications to analyze density on energy consumption. The study gives deeply analyze data such as a link probability based on node density and degree in a specific area. Moreover, the paper will address the density impact on delivery ratio and energy consumption. We present an influence evaluation of various network scalability variables on link probability. The results show that link probability is affected by node degree greater than node density.

IEEE 1St- MI-STA2021 25-27/5/2021

Removing the Impulse Noise from Grayscaled and Colored Digital Images Using Fuzzy Image Filtering ID 56 Authors Mabroukah Hamid , Fatimah Hammad and Nadia Hmad Abstract—Digital image is an important information source for various applications. Impulse noise may cause a blur to the image information that lead to lose its importance. Thus, the removal of this degradation is one of the areas that has faced a growing interest by researchers. This paper concerns to reduce Fixed and Random impulsive noises from a grayscaled and colored digital image. The fuzzy logic (FL) methods are applied to reduce these impulsive noises from the digital images. This method tries to detect the corrupted pixels before starting the filtration process and processes only the pixels which have been classified as a corrupted pixel. This is carried out by applying two algorithms: Impulse Noise Reduction for Colored Digital Images (INRC) and Fuzzy Random Impulse Noise Reduction (FRINR) algorithms in order to filter the grayscaled and colored images. To restore a digital image, a number of phases were performed where impulsive noise was added to the set of images in several ratios for each image (5%, 10%, …, 80%), afterwards the previously mentioned algorithms were applied through a series of experiments and monitoring results and observations of each results of each experiment. The fuzzy methods gave densities of up to 50% of the noise. These obtained results are comparable to the results rates that accessed in other research papers in the world. Also, Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE) and universal image quality index (UIQ) measurements are used in this paper.

Detecting SIMBox Fraud Using CDR Files And Neo4j Technology

ID 57 Authors Nassir Abuhamoud , Ibrahem Alsadi and Salwa Ali Abstract—Voice traffic termination fraud; often referred to Subscriber Identity Module box (SIMBox) fraud, is a common illegal practice on mobile networks, in which cellular operators around the world incur billions loss annually. Fraudulent SIMBoxes seize international voice calls to be transferred over the Internet to a cellular device network, where it is re-injected into the cellular network. Therefore, calls do not appear local at the destination network, and cellular operators of intermediate and destination networks do not receive payments for routing and terminating calls. Recently, data mining techniques have gained great popularity as a robust and inevitable technique among fraud prevention approaches. The aim of this research is to detect simBox fraud using CDR files related to the Almadar Aljadid operator. The analysis of the CDR files was performed over a period of four months using the Neo4j technology to discover SIM cards used in SIMBox devices. We examine users' natural behavior to define any suspicious behavior in order to detect fraudulent cards. The data preparation process was performed using Python language to be ready for the analysis using Neo4j technology, where Cypher queries for Neo4j technology were written based on four features: users' numbers making calls without receiving any, those who received text messages without sending any, numbers related to users making calls from a fixed location and numbers that their calls exceeded the predefined duration. A graphical user interface was designed to facilitate the application of the practical side of the study. Our result confirms the efficiency of the neo4j technology to analyze the CDR and thus recognizing SIMBox frauds.

IEEE 1St- MI-STA2021 25-27/5/2021

Intelligent Traceable Cargo System in High-mobility and Connection-less Environment ID 58 Authors Fawzia Abujalala, Asma Elmangoush and Majdi Ashibani Abstract—The Internet of Things (IoT) concept is considered as an added-value to various application domains. Supply chain and cargo tracking are a few to name. However, the security of the IoT transactions and integrated devices remains one of the key challenges to the IoT application’s success. Recently, Blockchain technology and its consensus protocols were promoted as a solution to many information security problems. This paper discusses the advantages of integrating Blockchain technology into IoT platform to improve security since it provides a distributed transaction ledger that cannot be tampered with or controlled by a single entity. In this paper, our main objective is to provide an overview of existing literature on the topic of integrating Blockchain and IoT platforms in a connection-less environment. Then, we present a framework for a traceable cargo system.

Cooperative Amplify and Forward SSK Sparse Code Multiple Access System: Performance Analysis ID 59 Authors Nareeman Jibreel, Khadiga Eltira, Abdelhamid Younis and Raed Mesleh Abstract—In this manuscript, a novel approach is proposed to enhance the performance of sparse code multiple access (SCMA) systems through facilitating the advantages of cooperative multiple–input multiple–output (MIMO) systems. In particular, MIMO- Space shift keying (SSK) system is adopted because of its inherent advantages. As well, amplify and forward (AF) cooperative relays are assumed. The performance of the presented system is studied over Rayleigh fading channels in terms of average bit error ratio (ABER) and compared to the performance of SCMA-SSK-MIMO systems. Reported results reveal the considerable enhancements attained from adding the cooperative technique. The superiority of the presented system over orthogonal multiple access (OMA) in terms of ABER is also depicted in the results.

IEEE 1St- MI-STA2021 25-27/5/2021

Experimenting and evaluating the impact of DoS attacks on different SDN controllers ID 60 Authors Abdussalam Alashhab, Mohd Zahid, Ali Barka and Abobaker Albaboh

Abstract— The flexibility and centrality of Software Defined Networking (SDN) has made it vulnerable to Denial of Service (DoS) attacks. Despite of the advantages, the potential DoS attacks may compromise the functions of switches, control channel and even affect the whole SDN network. This paper is devoted to simulating and analyzing the impact of DoS packet_in flooding attacks on control channel which may even affect the whole SDN network. The network performance is tested and emulated by using different testing tools of simulation in Mininet such as Hping3 and Wireshark. Likewise, the three different SDN controllers Floodlight, Ryu and POX performed as the uplink control data. Our findings show that with quite limited resources in pure open source SDN controllers, an attacker can produce a major distraction against an SDN networks. The recovery rate of SDN controllers show variable delay weakness between controllers’ performance. that the best result for the Ryu controller after sequences packets 6, and the worst recovery rate for POX controller after sequences packets 47.

Visual Object Categorization Using Combination Rules for Multiple Classifiers ID 61 Authors Inas Yosif and Azizi Abdullah Abstract—This paper presents the ensemble learning algorithms of Support Vector Machines (SVMs) by combining multiple edge and orientation descriptors based on several basic primitive filters. The methodology consists of two main parts. The first part provides a low-level description for describing images. In this part, the proposed method starts with constructing several feature maps of the input image. The maps are constructed by convolving the image data using a set of M different filters namely Robinson filters resulting M different feature maps. After that, the edge and orientation descriptors namely edge histogram, histograms of oriented gradients and Scale Invariant Feature Transform (SIFT) on fixed grid are used to describe the maps for indexing. The second part provides the image classification task. In this part, the support vector machine algorithm is used to train models of different filter based descriptors. After that, all models are used to compute the right output class by using the class probabilities of all trained support vector models. In this case, single or individual classifier, naive classifier and ensemble learning classifiers namely product rule, mean rule and majority voting rule are used to measure the recognition performance. Experimental results on 20 classes of the Caltech-101 object dataset show that the ensemble methods outperform single and naive approaches at about 71:23% and 60:67% of accuracy rates subsequently

IEEE 1St- MI-STA2021 25-27/5/2021

Modelling & Simulation of Telecom Data Center Electrical Distribution Network Highly Penetrated with Non-Linear loads ID 62 Authors Hazem Zubi and Nada Hfouda Abstract—In this technical paper the modeling and simulation of a typical telecommunication data center electrical distribution network highly penetrated with nonlinear loads based are presented. The study involves, at the first stage, individual modeling of various power electronic converters applications usually utilized in such data centers. Then, the second stage, includes the modeling of the full electrical network combining all loads in the system based on actual data center case. Validation of the individual modelled loads along with the full network is explained and detailed. Furthermore, a brief power quality indices assessment of the modelled individual nonlinear loads and full network, according to the IEEE519-1992 harmonic control recommendations, under specific loading conditions is also conducted and obtained. The indices investigated include total harmonic distortion of line current THDi%, node (busbar) voltage THDv% and total line power factor at each connection point. In the sack of offered modelling process justification, all achieved simulation results of assigned modelled loads are compared with literature and real-time measurements obtained in a related previous study of the same network. The simulation is carried out using MATLAB/Simulink computer software. The electrical distribution network of the data center of Al-Madar Al-Jadid Company is under investigation as the case study of this work.

IEEE 1St- MI-STA2021 25-27/5/2021

Designing a mobile app to trace Covid-19using social networks ID 66 Authors Khaled Ben Hamed and Abdussalam Baryun Abstract— In this paper, we introduce our new design of mobile social app. This app can be used to trace the spread of Covid-19 among the app users while in social gathering. In the state of the art, we studied several existing social apps from around the world to trace/track Covid-19 and compare them with our new social app. In this comparisons, a number of parameters are defined to cover wide range of aspects related to current pandemic. These aspects covers existing of technologies (Cloud, Bluetooth, Mobile Device), governments (Support, Use, Enforcement), and app users ( Health, Social, Privacy). From the users prospective, the new design takes into account the effects of wearing masks have on lowering the rate and informing the user of the spread of the Covid-19 pandemic in their surrounding communities. From the development prospective, the new design was described without hassling with the platform details of app implementation. Our evaluation of the design support the development of a social app that adhere to existing technologies, government policies, and user trust.

Electro Magnetic Heating of Lung Tumors

ID 67 Authors Emhmed Hnesh and Sayeh Elhabashi Abstract—The objective of this paper is to provide an overview of the effect of electromagnetic on lung tumors using the required hardware and software to perform and ensure reliable procedures capable of planning an optimum treatment for deep regional hyperthermia in lung tumors. Temperature distributions of a three-dimensional complex human phantom models constructed to examine the heating properties of the hyperthermia system (BSD 2000) Pyrexar Medical company, (Plane Wave) and invasively inserted Tube. The implementation of these models executed using the finite- difference time-domain (FDTD) method and heating method Pennes Bio Heat equation are described. The results shows that relatively high temperatures can be achieved in located tumors with a side effect to nearby organs, from these results, it was found that the human phantom model composed of complex 318 entities provided by Zurich MedTech AG (ZMT) company useful to test the heating properties method, the heating method was also effective to invasively inserted Tube heating lung tumors with minimum nearby tissue damage.

IEEE 1St- MI-STA2021 25-27/5/2021

Performance Evaluation of PEMFC system using hydrogen produced from solar PV panel energy

ID 68 Authors Abdullatif Musa, Hamza Ahmed and Khaled Abuojlida

Abstract— One of the most interesting developments of energy systems based on the utilization of hydrogen is their integration with renewable sources of energy. In this study, three validated models are developed and used, solar PV panel (PV) , alkaline electrolysis cell (AE) and a proton exchange membrane fuel cell (PEMFC). These models are integrated together to consist a model system, called Nour generation system (NS). The performance parameters of Nour generation system are evaluated and investigated using numerical model which is built in (Aspen and EES) Software applications. The simulation results show that, the voltage losses of alkaline electrolysis is higher than the voltage losses of PEMFC. The efficiency of PEMFC is higher than the efficiency of Nour generation system.

A New Method for Control of an Implantable Pump for Heart Failure Patients Using recursive DFT ID 69 Authors Mahmoud Elfandi, Kholoud El-Henqari and Ali Zayed Abstract— A Feedback control system for a currentbased model of the combined cardiovascular system and a left ventricular assist device is offered. The system includes a suction detection subsystem and a feedback controller subsystem. The suction detection subsystem is based recursive DFT algorithm developed by the author. A constant set point is used as part of the feedback controller to compare with the calculated pulsatility control index in order to continuously update the pump current. In the absence of suction in the left ventricle, as indicated through the suction detection subsystem, the proposed feedback controller routinely adjusts the pump motor current with the intention to meet the blood flow requirement of the patient's body at different physiological states. The overall performance of the control system was examined in simulations over an extensive variety of physiological situations the use of a lumped parameter version of the circulatory system coupled with a left ventricular assist device. The controller was capable to maintain cardiac output inside acceptable physiologic ranges, whilst warding off suction, demonstrating the feasibility of the proposed control system.

IEEE 1St- MI-STA2021 25-27/5/2021

GUI-PV Application Tool for Teaching Performance of PV System using MATLAB-Graphical User Interface Environment ID 70 Authors Ali Almaktoof, Nafaa Shebani and Ali Elfallah

Abstract— A MATLAB-Graphical User Interface (GUI) based educational software which could aid in the analysis and education of photovoltaic (PV) modules is presented in this paper. The MATLAB-GUI for studying the PV module based on the evaluation of the current, voltage and power characteristics as well as performance evaluation of the PV module under different values of radiation and temperature are presented. The Graphical User Interface-Photovoltaic (GUIPV) application is de eloped to simulate the characteristics of PV module and show the effects of temperature and solar radiation on the PV modules. In addition, the GUI-PV can provide PV module specifications and parameters including maximum power, current and voltage, fill factor and efficiency, ...etc. Two GUI-PV models are developed for PV module characteristics and performance evaluation of solar module. Testing of the GUI-PV platform exposes that students who are trained using GUI-PV software easily understood the concept of a solar PV panel and defined the maximum power of the solar photovoltaic modules and some other parameters.

Investigation of Mutual Coupling Effect on Fault Location Using Fault Locator and Artificial Neural Network ID 72 Authors Mohamed Shahubi, Mustafa Elsherif and Alseddig Elzowawi bstract - The mutual coupling in double circuit transmission lines significantly affects the estimated distance for the fault location, by causing over-reach or under-reach, depending on the earth currents direction on both circuits, which in turn is based on switching conditions of the parallel lines and the in-feed of the remote end. This paper discusses the impact of mutual coupling and its compensation on the measured distance using a fault locator simulated with matlab-simulink. The artificial neural network (ANN) method was also utilized as an alternative method to determine the fault location with several switching conditions. A comparison between the results of both methods has been achieved to see how precise the fault location could be determined. Therefore, the time, effort and cost to maintain and restore the service the can be greatly minimized.

IEEE 1St- MI-STA2021 25-27/5/2021

Compact MM-Wave phased Quazi-Yagi Array Used for 5G Wireless Communications ID 73 Authors Abdulati Abdullah, Seraj Almuzoughi, Ahmed Elshoshi and Abderaof Elmrabet Abstract— A modern mm-wave antenna structure was introduced and simulated using features of CST microwave studio to serve the applications of 5G mobile communications. This antenna is known as compact of Quasi-Yagi with wellmatched impedance bandwidth laying between 29.58 GHz and 33.63 GHz supporting 4 GHz of operating bandwidth with S11 parameter of -41 dB at 31.5 GHz and less than -30dB of mutual coupling for array structure. The antenna is printed on a substrate made of Arlon Ad 350 with thickness of 0.8 mm, dielectric constant 휺 풓 = ퟑ. ퟓ and휹 = ퟎ. ퟎퟎퟑ. The antenna is powered using coaxial cable with vias crown surrounding the feeding area. Moreover, phased linear and planner array configurations are used with orders of 2x1, 8x1 and 2x2 to improve the realized gain providing more than 9.2 dBi and 15 dBi of directivities with wide range of pattern scanning. The results are simulated using CST software.

Recursive Least Squares Algorithm for MISO CARAMA Systems Utilizing Data Filtering ID 74 Authors Weiam Saheri Nasar Aldian Shashoa and Ahmed J. Abougarair Abstract— the identification problem of MISO output-error for (CARARMA) systems is concerned in this paper. The filtering technique is used to decompose the original model into two identification models, one for system and another for noise and the difficulty is the information vector has unknown variables. The employed idea for solving this difficulty is replacing these variables with their corresponding estimates, and a data filtering based RLS method are derived. The proposed algorithm has more significant computational advantage and can estimate parameters more accurately compared with the RELS algorithms. This conclusion is confirmed in simulation results

IEEE 1St- MI-STA2021 25-27/5/2021

Tracking Control with Hysteresis Compensation Using Neural Networks ID 75 Authors Mohamed Edardar and Ahmed J. Abougarair Abstract— This paper describes an approach for the compensation of the nonlinear hysteretic characteristics of a piezoelectric of the actuator by an adaptive inverse hysteretic control using neural networks. This nonlinearity can excite undesirable dynamics in motion and vibration control applications, resulting in reduced closed-loop system efficiency. Therefore, the present paper discusses a methodology based on a neural network of multilayer perceptron (MLP) with backpropagation training to adjust for the substantial error in the system due to hysteresis. The main idea of compensating the hysteresis is trained inverse offline cascade and the neural networks models feedforward neural networks hysteresis model with the neural network actual hysteresis model to obtain an identified mapping between the desired output and the actual actuator response Two methods are considered for comparison, Prandtl–Ishlinskii (PI) and Neural Networks (NN) hysteresis compensation.

Direct Torque Control of a Series-Connected Induction Motor ID 76 Authors Ali M. Abbas and Abdussalam A. Khamis Abstract—Series-connected induction motors (SCIM) is considering as a modern modification of conventional woundrotor induction motors (WRIM). It is claimed that SCIM has higher starting torque and lower starting current comparing with the conventional WRIM. The main objective of this paper is to study and investigate possibilities of using SCIM in industrial applications that require variable speed operation. In this paper, direct torque control (DTC) was used to control the performance of MATLAB/SIMULINK model of SCIM. It was concluded that the computer model of the motor shows acceptable transient response to control circuit’s operation commands.

IEEE 1St- MI-STA2021 25-27/5/2021

Separately Excited DC Motor Speed Control Simulation Case Studies

ID 78 Authors Majd Hareb, Mohamed Ekhail and Fathi Hareb Abstract—The versatile control featuresof the DC motor have contributed to the extensive use of the DC motor in the industry. With power semiconductor units are increasingly being used, DC motor speed control is becoming advanced and accurate. The armature voltage can control the speed of the Separately Excited DC motor, using a different single-phase or 3- phase AC/DC converter. This paper presents a modeling of separately excited DC motor speed control using a rectifier controller. The full converter method of controlled rectifier can help to control the 3-phase output voltage of the controlling speed of the DC motor for a wide range. The system is modeled and simulated to study the speed during the deferent firing angle of thyristor behavior. The speed output value was analyzed at different firing angles. The model of the proposed system built in the Simulink bloke simulation software. The simulation and experimental findings are in good agreement.

Economic evaluation of SWRO desalination plants using ERD powered by Off-Grid PV system ID 79 Authors Albashir Elfaqih and Said Belhaj

Abstract— Reverse Osmosis (RO) desalination is one of the most widely used and relied upon technologies for providing potable water supply to areas suffering from scarcity of drinking water, often the only supply of clean drinking water for poor communities with little or no access to reliable grid electricity. As such, there is considerable interest in reducing the energy requirements of such systems and finding alternate energy sources to replace dependency on traditional fossil fuels. This paper evaluated the economic viability of three seawater reverse osmosis desalination plants (SWRO) with and without Energy Recovery Devices (ERD). The plant capacities evaluated were 100, 300 and 500 m3/day of drinking water, powered by off-grid photovoltaic (PV) electricity for an average duration of 6 hours per day on the coastal city of Tajura-Libya. ROSA Software was used to determine suitable membrane units for the SWRO plants and used a pressure exchange turbine of PX45, PX90, and PX140 models for the 100, 300, 500 m3/day plants respectively. The results showed that using ERD in the lower capacity plant (100 m3/day) resulted in increased Levelized cost of water (LCOW) and a favorable reduction in LCOW was obtained with the higher capacity plants (300 and 500 m3/day). On the other hand, the use of ERD resulted in significant reduction both in Specific Energy Consumption (SEC) and capital cost of the off-grid photovoltaic systems (40%-50% for all 3 evaluated desalination plants).

IEEE 1St- MI-STA2021 25-27/5/2021

Control of Epidemic Disease Based Optimization Technique

ID 80 Authors Shada E. Elwefati, Ahmed J. Abougarair and Moftah M.Bakush Abstract— This paper analyzes the properties of a continuous-time epidemic model used to describe infectious diseases such as COVID-19 and Tuberculosis (TB) and how controlled and tracked it using optimal control theory. The dynamic behavior of the epidemiological model is analyzed using the SIR (Susceptible-Infected-Recovery) model, where different values of parameters of the epidemic model will be simulated using MATLAB program to better understand and to extract useful information about possible situations. The behavior of the infectious disease COVID-19 and TB is investigated with real data in Libya and controlled using a Pontryagin Minimum Principle (PMP) which characterizes optimality around the optimal solution to minimizing the infected people and maximizing the recovery process. The simulation results indicate that the designed control strategy has a positive effect. In addition, the Graphical User Interface (GUI) was designed to know the behavior of other epidemics and how they can be controlled and thus by increasing or decreasing one of the parameters of that disease without the need to use mathematical operations to solve differential equations.

Implementation of a Brain-Computer Interface for Robotic Arm Control ID 83 Authors Ahmed J. Abougarair, Hanadi Gnan, Abdulhamid A. Oun and Saadedin Elwarshfani Abstract— Brain-Computer Interfaces (BCI) or Neural Control Interface (NCI), is a distinct and global technology that has revolutionized the world of control and signal processing. This technology has helped link humans and computers to achieve goals that are difficult to achieve for certain patients or people. This work combines the cutting edge BCI strategies into one single framework to control a 3D arm. In the proposed experiment, brain signals are utilized to move the automated arm and perform various assignments such as move any finger of the hand. To provide movement to the 3D arm robot in realtime, we acquired EEG data based 10-20 international system and forwarded these signals to the processing computer using OpenBCI Wi-FI, OpenBCI cyton board, and controlling the servo mo tors using OpenBCI GUI and Arduino Uno. The BC designed system was evaluated by a real-time experiment study and applied on man and woman were induced by opening and closing hands, also the validation process has been done with different frequency and voltages where the experimental results demonstrate that the process will operate as designed with extreme precision and high performance.

IEEE 1St- MI-STA2021 25-27/5/2021

Statistical study and evaluation of six numerical methods to predict wind speed distribution parameters of the Weibull distribution function in Al- Aziziyah, Libya ID 84 Authors Hosni Ali, Rida Khamiss and Milod ZakariaA. Abstract— Wind turbines depend on several factors to produce energy, and the most important of these factors is wind speed. As wind speed data is a major factor in the study of wind power, it should be accurately modeled. This work provides a comparative evaluation of six methods for computing the Weibull parameters for Al- Aziziyah city- Libya located 32.18 latitude (No) 13.03 longitude (Eo). Ten minutes average wind speed has been collected within the period of twenty five months for three different height 10m, 20m and 40m using data logger EKO 21B. Graphical method (GM), Empirical method of Justus (EMJ), Energy Pattern Factor (EPF) method, Empirical method of Lysen (EML), Maximum Likelihood Method (MLM) and the Modified Maximum Likelihood Method (MMLM) are the methods used. Those methods are assessed using statically indicators Mean Absolute Error (MAE), Root Mean Square Error (RMES), Coefficient of determination (R2) and ChiSquare Test (χ2). The analysis shows that The MMLM and MLM are the most accurate methods respectively for evaluating Weibull distribution parameters for the study region while (GM) and (EML) gives lower results.

Ultrasound Image Speckle Reduction Based on Adaptive Image Decomposition Algorithm ID 86 Authors Osama Alkishriwo and Doua E. Algarguri Abstract— Speckle noise is intrinsic to medical ultrasound images and can cause misleading on image–based interpretation and diagnoses procedures. Therefore, in the processing of ultrasound medical images, speckle mitigation is an essential reprocessing step. In this article, a novel speckle noise mitigation technique using adaptive multi– resolution image decomposition algorithm (AMID) is proposed. The effectiveness of the introduced method is evaluated with synthetic images as well as real ultrasound images for further analysis and comparison of the results with other works. Using well known measure metrics such as peak signal–to–noise ratio (PSNR) and structural similarity index (SSIM), simulation results evidence that the presented method outperforms other state–of–the–art techniques.

IEEE 1St- MI-STA2021 25-27/5/2021

Observer Empirical Optimization in Open and Closed Loop

ID 87 Authors Asma Eswehli and Izziddien Alsogkier Abstract— In this work, the empirical optimization problem [1, 2] of a real online servo- control system is redone in a digital simulation environment. Where, a series of simulation experiments are executed to test the observer performance in estimating the states of a mechanical system first in open loop without any feedback control. This has been done to separate the observation problem from the control problem and to guarantee no interference between the measured output and the system input that could take place by closing the loop. Second, the performance of the observer and the controller are investigated in closed loop. Then the results are presented, discussed and compared to the results and conclusions done on the real online system [1, 2]. Where, it has been found that the simulation results have complied with and approved the predicted results and conclusions of the original real time online servo-control system.

Factors Influencing the Use of On-Line Meeting Tools

ID 89 Authors Ayad Ali Keshlaf, Abdulmonam A. Alahresh and Mustafa Kh. Aswad

Abstract— Working from home is becoming a real trend during the Covid-19 pandemic. This trend can be clearly seen with the increasing number of on-line meeting applications and tools that are used for work, meetings and teaching. However, the utilization level of these on-line meeting tools can be affected with many factors like ease of use, availability, scalability and privacy. This paper focuses on the impact of these factors. A survey has been designed and conducted to investigate the influence of each factor. The survey covered different level of users and work fields. The results illustrated that there is a significant impact on the utilization level of the used tools and users due to these factors. The result showed that the formality and capability factors of these tools have the highest impact on the utilization level.

IEEE 1St- MI-STA2021 25-27/5/2021

Feasibility Study of a Waste-to-Energy (WtE) Plant for Tripoli City, Libya ID 94 Authors Nouri Alkishriwi Abstract— Solid waste is a long-lasting problem in Libya in general and particularly in urban areas. Libya annually generates about two million tons of municipal solid waste. Municipal solid waste (MSW) is getting importance in recent years for its role in economic and sustainable development. The economic development and population growth have resulted in the accumulation of solid waste that exceeds the current capacity of landfills and dump areas. This study investigated the feasibility of building a waste to energy (WtE) power plant in Tripoli city in Libya. The results show that the capacity of the proposed facility is about 100 MW of heat generated from waste based on incineration technology. The simulation results show that a power plant with a capacity of 27 MWe can produce up to 201 MWh of electrical energy yearly. The Levelized cost of electricity (LCOE) is $100.7/MWh. Technology, cost and benefits of WtE plant are also discussed. Based on an economic analysis of a waste to energy project in Libya (Return on Investment, Net Present Value, Internal Rate of Return, and Sensitivity Analysis) the paper makes the conclusions.

Nonlinear uncertain process monitoring

ID 95 Authors Imen Hamrouni, Hajer Lahdhiri, Okba Taouali and Kais Bouzrara Abstract— Uncertainties of systems have a bad influence on the fault detection and isolation (FDI) performances, in addition, the second problem is that this available information characterized by a very large data that set the most fault detection method agonizes high computation complexity. Due to these damages, it is necessary to use reduced interval-valued methods in order to guarantee the better fault diagnosis performances. Reduced Interval Kernel Principal Component Analysis (RIKPCA) is proposed in this paper, this method deal with data with uncertainties and avoids the disadvantages of high computation complexity for a large data. The created method is compiled by an application to the air quality monitoring network (AIRLOR).

IEEE 1St- MI-STA2021 25-27/5/2021

Study of the Algeria / Tunisia interconnection network stability by insertion a phase-shifting transformer (PST) ID 97 Authors Badri Rekik and Hocine Labar Abstract— For interconnection networks, stability and security of networks in each country are of major importance for companies of generation and transmission of electrical energy and an objective of several research laboratories. For obvious technical and economic reasons, it is not possible to build networks free of malfunctions; they are particularly exposed at least to natural aggressions like lightning. Networks are therefore affected by disturbances that might affect the equipment durability and the quality of service provided and despite the existence of many traditional technical methods of stability, one always look for new methods that can improve the service quality. For this purpose, we will try in this thesis to address this issue through initially a thorough description of the interconnection network Algeria / Tunis then using the recorded incidents statistics, we focused our study on the disturbed line 220KV between AL Aouinette and Tajerouine with a proposed solution is to install a power transformer- type shifter "PST".

Utilizing ASCII Codes Redundancy for Data Compression

ID 98 Authors Musbah Mohammed Elahresh Abstract— When information is organized in documents and saved into computers its contents are stored using traditional ASCII codes. The occupied space by those ASCII codes is one challenge in the field of information technology. This is why many different data compression techniques have been developed and others are still in progress to meet this challenge. This paper looks at the ASCII codes from another view as inherited redundant codes. This inherited redundancy forms spatial redundancy that can be utilized to compress data documents. This compression is based on eliminating the repetition of the same ASCII code for the same character along its occurrences in the document. The proposed technique is based on the idea of assigning a position code for each element in the document. The positions codes are then connected with the original ASCII code for that element by reserving a memory area to keep track of the positions codes of the bytes’ patterns participating in the original document. The technique is evaluated and assessed using analytical analysis and MATLAB work. The obtained results are then discussed to show the proposed method capability.

IEEE 1St- MI-STA2021 25-27/5/2021

New Fuzzy Speed Controller for Dual Star Permanent Magnet Synchronous Motor ID 100 Authors Amirouche Elyazid, Hamoudi Yanis, Iffouzar Koussaila, Ghedamsi Kaci, Aouzellag Djamal and Houari Azeddine Abstract— AC machines are extensively used as electromechanical actuators in many fields, such as electrical ship propulsion, electric and hybrid vehicles, electric and more electric aircraft, and in renewable energy conversion systems. As their comportment is highly nonlinear, traditional PI controllers present poor performances in speed control, as they are dependent on system’s parameters and sensitive to external perturbations. To overcome these limitations, fuzzy logic controllers (FLC) gained more attention in this field, as they are developed based on human knowledge and expertise. In this scope, this paper presents a new FLC for dual star permanent magnet synchronous motor (DSPMSM) speed control, simulation results show good performances in term of steady state error and perturbation rejection.

Reliable Estimation of On-Road Vehicles Motion Using Stereo Vision

ID 101 Authors Hatem Elaydi, Hazem Abu Jalala and Iyad Abu Hadrous Abstract— This paper proposes a 1st order extended Kalman filter for estimating the motion of on- road vehicles based on stereo vision observation of tracked point on the object’s surface. The estimated states are the 2D position and orientation of an object relative to the ego-vehicle, the object’s velocity, acceleration and the rotational velocity (yaw rate). The Moving vehicle is reliably estimated in real-world dataset as in KITTI benchmark from within a moving ego vehicle, practical on-road traffic situations such as oncoming traffic and turning vehicles at urban intersections were handled. the coordinate frames were assigned, the dynamic models, measurement model were formulated to be compatible for the estimation algorithms development and evaluation for the realistic KITTI dataset. Analytical effort was done for the characterization of The KITTI stereo vision measurement noise, while the dynamic models noise was solved effectively by the proposed mechanical limitations assumption. The practical issues such as the filter initialization, the numerical errors are covered fully. The overall system is systematically evaluated both on simulated and real-world KITTI data. The experimental results show the proposed system is able to accurately estimate the object pose and motion parameters in a variety of challenging situations. The limits of the system are also carefully investigated.

IEEE 1St- MI-STA2021 25-27/5/2021

Bearing Fault Diagnoses Using Wavelet Transform and Discrete Fourier Transform with Deep Learning

ID 103 Authors Ahmed Shomaki and Osama A. Alkishriwo Abstract— Intelligent fault diagnosis of rotating machinery has always been a challenge when monitoring rotating machinery to guarantee machine safety operation and reduce breakdown losses. In this paper, a new framework based on wavelet transform and discrete Fourier transform with deep learning is proposed for bearing fault detection. The proposed algorithm can be summarized as follows. First, the vibration time series is decomposed using multilevel wavelet transform. Second, the low frequency component is selected and further processed with the discrete Fourier transform. Finally, the resulted signal is fed to an autoencoder with fully connected artificial neural network. The efficacy of the proposed method is assessed and compared with the state-of-the-art methods. Simulation results evidence that the proposed method performs better than other cutting edge techniques in bearings fault diagnosis.

Generating UML Class Diagram from Natural Language Requirements: A Survey of Approaches and Techniques ID 104 Authors Esra A. Abdelnabi, Abdelsalam Maatuk and Mohamed Hagal Abstract— In the last years, many methods and tools for generating Unified Modeling Language (UML) class diagrams from natural language (NL) software requirements. These methods and tools deal with the process of transforming NL textual requirements into UML class diagrams. The process involves analyzing NL requirements and extracting relevant information from the text to generate UML class models. This paper aims to survey the existing works of transforming textual requirements into UML class models to indicate their strengths and limitations. The paper provides a comprehensive explanation and evaluation of the existing approaches and tools. The automation degree, efficiency, and completeness, as well as the used techniques, are studied and analyzed. The study demonstrated the necessity of automating the process, in addition to combining artificial intelligence with engineering requirements and using Natural Language Processing (NLP) techniques to generate class diagrams from NL requirements.

IEEE 1St- MI-STA2021 25-27/5/2021

Sustainable Power Source for Off-grid Demostic load Modelling and Simulation using Matlab software ID 105 Authors Nouri Ali Daw and Abujafer Issa Abstract— Off-Grid is a part of the power distribution system which uses renewable energy based of power generation connected to the grid system. Multi energy power generation is composed of renewable energy systems including photovoltaic, wind turbine, energy storage and local loads Solar PV systems are now popular everywhere in world. These systems generate electricity to meet the demands along with conventional resources but also electrifying the rural areas when grid facility not available. In this paper an off-grid PV system for a domestic load (a house load) is modeled and simulated using MATLAB/SIMULINK Software. The simulation result shows that the system is working with different situations day time and night time it can be a good system for a rural area which are far way from an electrical grid.

Comparison between the NB and SVM Methods for Multiclass Arabic Sentiment Analysis ID 106 Authors Amna Elhawil, Youssef Trabelsi and Musbah Mahfoud Abstract— Sentiment analysis gives the ability of monitoring public opinions on different topics. It can be, for example, very helpful in business future plans. Despite the Arabic language being one of the most spoken languages, Arabic sentiment analysis researches face numerous challenges. The main objective of the present paper is to provide a study of Arabic sentiment analysis by comparing the Vector Support Machine (VSM) and Naïve Baye (NB) approaches as a function of dataset classes.

IEEE 1St- MI-STA2021 25-27/5/2021

Experimental Validations of Using Power Electronics for a Hybrid Vehicle Speed Control ID 107 Authors Eljaroshi Diryak, Ali Algaddafi , Mohamed Shaglouf and Saad Zied Abstract— The paper presents experimentations of speed control for a Direct Current (DC) motor which can be used in a hybrid vehicle. The laboratory experiments have been carried out with the H bridge circuit using a thyristor device. The P and PI speed control are employed with open and closed loop control systems in the steady state. The results show the actual accuracy of maintaining the vehicle speed especially when the vehicle sloped up (faced a load torque).

IoTGazePass: A New Password Scheme for IoT Applications

ID 109 Authors Faheemah Alfard, Ayad Keshlaf and Omar Bouzid Abstract— Authentication is one of the most important security aspects to protect user privacy in computers, internet environments and IoT applications. In this regard, the traditional textual-based password type is the most common means of authentication. However, this type of passwords has many disadvantages such as the hardness of remembering for the powerful passwords and easiness of guessing and cracking for the weak passwords. Moreover, it is also vulnerable to brute force, dictionary attacks and social engineering. Another possible alternative to the textual-based password is the graphical-based password. This type of passwords is partly driven by the fact that humans are able to remember and recognize images and colors better than texts. However, such type passwords is more vulnerable to shoulder surfing attacks. In order to tackle the weaknesses of existing types of passwords, this paper proposes a new password scheme called IoTGaze Pass scheme, which is intended to be suitable for IoT applications, taking into account that the new pass word must be very easy to remember, very difficult to guess, quicker for accessing and consumes minimum resources, as well as it should be random and changeable.

IEEE 1St- MI-STA2021 25-27/5/2021

Modulation Classification Based on Statistical Features and Artificial Neural Network ID 110 Authors Anas ِalarbi and Osama A. Alkishriwo Abstract— Modulation classification has been an interesting topic for many years with many applications in both civil and military fields. In this paper, we propose a feature- based automatic modulation recognition method that is based on the time domain statistical features of the amplitude envelope and the instantaneous phase with an artificial neural network (ANN) classifier. We trained and tested the classifier to classify four different digital modulation schemes: BPSK, QPSK, 16QAM and 64QAM. The classifier performance was compared to one of the feature-based methods in literature and simulation results show that the proposed method performs better especially in lower signal to noise ratios (SNRs). The presented method is also tested with the over-the-air captured signal dataset (RadioML.2018) and gave a maximum of 99% correct classification in high SNRs.

Channel Estimation Based on Machine Learning Paradigm for Spatial Modulation OFDM ID 111 Authors Ahmed Badi, Taissir Elganimi, Osama Alkishriwo and Nadia Adem Abstract— In this paper, Deep Neural Network (DNN) is integrated with Spatial Modulation Orthogonal Frequency Division Multiplexing (SM-OFDM) technique for end-to-end data detection over Rayleigh fading channel. This proposed system directly demodulates the received symbols, leaving the channel estimation done only implicitly, furthermore, an ensemble network was also proposed for this system. Simulation results show that the proposed DNN detection scheme has a significant advantage over classical methods when the pilot overhead and Cyclic Prefix (CP) is reduced, owing to its ability to learn and adjust to complicated channel conditions. Finally, the ensemble network was shown to outperform the classical channel estimation schemes, significantly improving upon the single DNN scheme.

IEEE 1St- MI-STA2021 25-27/5/2021

Performance investigation of the gas turbine with the combined power plant ID 112 Authors Montaser A. Qasem and Abdulgani Albagul Abstract— Power plant operates require reliable data on model settings in heat recovery steam generators (HRSGs) to guarantee harmless operation and optimal response. Existing and old working facts from the distributed control system (DCS) could be suitable initial start, thus far it may not deliver comprehensive data about temperatures, pressures, or flows in every part of the HRSG. However, it could be accomplished by developing some thermodynamics simulations of the process. Extra exhaustive figures could assist in defining the root basis of failures or in expecting the percentage of wear from different ways in mechanisms such as flow accelerated corrosion (FAC), fatigue, corrosion fatigue, and creep. Another benefit of simulation is that it could be used as a “test” to evaluate the impact of designer operational scheme adjustments on productivity or unit lifecycle.

Modeling and control of an interleaved boost DC-DC converter applied for PEM fuel cell ID 113 Authors Abdesselam Belkheir, Benaissa Amar, Bouchhida Ouahid, Boualaga Rabhi, Zellouma Laid and Benkhoris Mohamed Fouad Abstract— This paper presents an interleaved boost DC-DC converter taking dvantages such as low ripple current delivered by the PEMFC (Proton Exchange Membrane Fuel Cells), and the reduction of the stresses on the semiconductors since each converter carries 1/N of the current delivered by the PEMFC. Undeniably, the fuel cells are very sensitive to the high undulation currents created by power electronic converters. To improve the lifespan of PEMFCs, an interleaved boost convert is proposed in this paper in order to reduce the current undulation. Also in this paper a detailed modelisation of the DC-DC boost converter has been presented. The output voltage of the interleaved boost converter is regulated using a simple PI controller. Simulation results shows that the proposed structure of the interleaved boost converter offers good performances in reduction of the undulation of the current delivered by the PEMFC. Also the simple PI controller show good performances versus reference voltage variation, and load variation.

IEEE 1St- MI-STA2021 25-27/5/2021

A Simulation Based Analysis Study for DDoS Attacks on Computer Networks ID 116 Authors Mariam Abojella , Reema Saad and Azeddien Sllame Abstract— A denial of service attacks are usually employed to interrupt the system's activity by getting a large number of fake requests, which leads to slowing down and stopping information system or network operations. This paper outlines the basic principles of information protection and security, as well as it explains the Distributed Denial Of Service attack (DDOS) attacks in some kind of detail; how DDoS attack works, what its severity, and the operations that take place during such attacks. An experimental study is carried out by OPNET simulation tool in which traffic from three different applications VoIP, FTP, and HTTP is used to make the practical model with a firewall shield. The results clearly determine how firewalls can be employed to mitigate DDoS attacks.

Control of 48-Pulse Dynamic Voltage Restorer Using Tow Continuous Vector Controller ID 117 Authors Ali Al-Mathnani, Ali Lesewed, Rasim Ali and A.A Alsharef Abstract— In-Phase Compensation (IPC) has been proposed to minimize the injected active power by the dynamic voltage restorer (DVR) for mitigation of the voltage sags. This paper presents a model of 48-pulse DVR using photovoltaic (PV) as a means of providing an alternative energy source for the DVR and compares four different compensation strategies in order to ensure the minimization of the active power :1) Pre- Sag Voltage Compensation; 2) In-Phase Compensation; 3) Phase Shift Compensation; 4) Voltage Tolerance Method. To achieve a stable characteristic of the DVR, a two continuous vector control is used for 48-pulse to achieve a faster response in sag detection and mitigation capability. The proposed method provides the DVR energy requirements and maintain the source during voltage sag. PSCAD/EMTDC simulation verifies the validity of the proposed technique.

IEEE 1St- MI-STA2021 25-27/5/2021

Performance Assessment on Backoff Contention Window for MANETs in Congested Area and Random Movement ID 120 Authors Omar Aldawibi, Sami Alahmar and Abdullatif Khrwat Abstract— MANETs is Mobile Ad Hoc Networks and containing of a set of nodes that do not need central management to communicate with each other, because each node can act as sender, receiver, and router at the same time and all these nodes can do self-configuration. The ad hoc stationary or mobile networks, facing many challenges, including limited bandwidth, congestion and data transfer speed, and for these reasons the intelligent routing protocol in very important. also, the evaluation study is very important to perform the backoff contention window well in order to know the obstacles and avoid them. This paper concentrated on performance of backoff contention window using the main routing protocols such as DSR, DSDV and AODV for MANETs networks , also in crowded areas with random movement. The important parameters such network throughput, the consumed power and the network delay has been achieved by network simulator NS2 and discussed in deep in the discussion section.

New Model of ARWCM Based on SDLC With Herman's Theorem Using Decision Tree Algorithm by Weka ID 121 Authors Ambarka Elghali Abstract— In this paper, a new model is developed which is called the adaptive work theoretical model through the stages of building information systems and The New Haberman brain lobe method of remote adaptive work system classification using the dialogic decision support (ARWCM) model. Identifying intangible human behavior such as preference or motor aspect is very difficult because of the many factors characteristic in a person's personality, through the answers to a questionnaire that combines the stages of building and developing information systems and Herman's theory thus determining the mode of work of individuals especially for remote work and finding the right work approach consistent with Dealing with different individuals remotely with different thinking patterns and disciplines remains the critical issue for most research. This research introduced the ARWCM model that accommodates individuals in a comfortable remote work environment improving the remote work system by placing it in the adaptive remote work model. Decision support tree algorithm technology it has been used to classify and predict the remote working method of individuals based on the stages of building and developing various information systems with Herman's theory and advanced system structure.

IEEE 1St- MI-STA2021 25-27/5/2021

A Modified Topology Of Asymmetrical 9-Levels Cascaded Multilevel Inverter ID 122 Authors Mohaned Nser A Ghamudi , Zeyad E.Abdulhamed and Abdulhamid H.Esur Abstract— the design of inverters has evolved significantly to meet the high requirements of the new technologies, such as the implementation of the HVDC link. This study aims to improve an Asymmetrical seven-level Hybrid Bridge Multilevel inverter. This improvement will upgrade the inverter from seven to nine level inverter. Consequently, this will increase the efficiency and reduces the THD%, and improve the output waveforms. This will reduce the operating cost significantly without increasing the implementation cost. The topology of the traditional sevenlevel inverter did not utilize the circuit component to the optimum. That’s why this new approach of optimizing the inverter configuration was chosen as the main topic of this research.

Comparison between IEEE 802.11 Module and UWB Multipath Channel Module IEEE 802.15.3a ID 124 Authors Tufik M. Buzid and Masoud M. Eddaghel Abstract— The paper documents a comparison between IEEE indoor, multipath channel which adopted by IEEE802.11 and IEEE 802.15.3a ultra-wideband (UWB) channel model for high speed, short range wireless communication. We choose single carrier with frequency domain equalization (SC/FDE) rather than OFDM as the comparison environment. The common basis between the two systems is frequency domain equalization, therefore both systems benefit from low complex equalization process at the receiver and the comparison that provides insight to their performance by means of simulation is relatively fair.

IEEE 1St- MI-STA2021 25-27/5/2021

Challenges and Factors Affecting Cloud Computing Adoption in Higher Technical Education Institutions in Libya ID 125 Authors Khalid Abdelkader, Rawad Aki, Sumaya Yedder and R. Arfa

Abstract— Cloud computing has attracted more attention in recent years from industry and academic as a new technology paradigm. It is a model that provides services on-demand over the internet. With the spread of the Corona pandemic around the world, it has restricted the movement of the people. Therefore, it becomes necessary to find alternative methods for service provisions. In spite of the apparent economic crises in Libya, there has been increasing pressure for the higher technical educations sector to deliver better services using minimal resources. The aim of this study is to investigate the main factors and barriers which may affect or prohibit cloud adoption in the higher technical educational institutions of the national board of technical and vocational education in Libya. A cross-sectional design method is used to answer the research questions based on Technological Organizational and Environmental (TOE) framework. In this study, the main factors that affect cloud computing adoption in technical colleges and higher institutions where characterized and tested using SPSS software, a robust analysis tool for hypothesis testing approach. The results of this study showed that the technological readiness and complexity of the technology were the most factors affecting the adoption of cloud computing in technical institutes. The most barriers preventing the adoption of the cloud are almost 59.7% the Internet connectivity, robustness and availability. Finally, the preferred cloud computing services to be adopted in the technical colleges and institutes is 52.11% IaaS.

IEEE 1St- MI-STA2021 25-27/5/2021

Determination of the Suitable Value of Resonance Point for Best Operation of Thyristor Controlled Series Capacitor ID 128 Authors Karima Hawisa, Mohamed Jalbob and Mohamed Alganga Abstract— Electricity generation is experiencing a remarkable diversion in recent years, where some effects drive it to such that, for example, electricity demand due to increasing of using electrical and electronic appliances, Market forces where the large companies are competing to increase their shares in the electrical aspect, and also the shortage of the natural resources is one of the most effective aspects for this diversion. With a view to increasing the power system transfer capabilities, a Flexible Ac transmission system (FACTS) could be a solution with its different categories. One of the categories is called Thyristors controlled series capacitor (TCSC). The TCSC is attached to the network in series, where the overall effective transmission line impedance can be controlled in order to increase the transfer power capability. From the three different operation modes, a Vernier mode was chosen, and because of the thyristor theory of how current pass within the thyristor controlled reactor (TCR) branch, the RMS value of the TCR current can vary and leads the equivalent impedance of TCR to change its inductance value from the basic value to infinity. In this paper, choosing the suitable value for the resonance point in Vernier mode, which determines the range of inductive and capacitive region of the TCSC, was considered. To simulate that, the IEEE 14 bus test system was applied in the Neplan program. And the simulation results showed great advances in power transfer capabilities as well as bus voltages.

IEEE 1St- MI-STA2021 25-27/5/2021

Minimizing Delay of VoIP in MANET using Fuzzy Logic-based Decision Support System ID 130 Authors Abdusalam Yahya and Ashraf Abdalla Abstract— Due to its cost-saving and flexibility Voice over Internet Protocol (VoIP) has become one of the most popular applications for voice communication through the Internet. Mobile Ad hoc Network (MANET) is a dynamic wireless network that consists of several mobile devices. The exchange of information between MANET nodes is accomplished without relying on an access point or a base station. VoIP is real-time traffic therefore it does not tolerate low network performance. In MANET performance issues like high end-to-end delay can significantly affect the Quality of Service (QoS) for VoIP. Fuzzy logic can understand linguistic variables and imitate the way of human thinking. This study intends to present a fuzzy logic-based decision support system (FLDSS) to minimize the delay of VoIP in MANET. The FLDSS is used to determine the best MANET parameters that produced low VoIP delay in the MANET environment. Network Simulator version 2 (NS2) was utilized to conduct the data collection part and for evaluation of the model. MATLAB was used to construct the suggested system. The results verified that the proposed system has notably minimized the delay of VoIP packets in MANET.

Effects of HVDC Link on Small Signal Stability and Inter Area Oscillation for Multi Machines System and Tuning of PSS Using GA ID 132 Authors Omar G. Mrehel, Nouri Khalifa and Khaled Ghambirlou Abstract— Small signal stability is the investigation of small disturbances impacts in the operating point of power systems on system stability. Therefor the effect of low frequency (inter and local area oscillation) on system stability is very important topic of research especially when large power is transferred between two areas through a weak tie line. This will be accomplished by evaluating the eigenvalues, eigenvectors and participation factor of the linearized different equation of the system. This work will be achieved using Kundur's network system which consists of two area connected by a tie line of 220km length. Several configurations will be studied such as basic (Static) and dynamic control of HVDC link are an important part of this study that taken into a consideration to evaluate the small signal stability, here HVDC link was connected in parallel with one circuit ac tie line. In addition, an Intelligent method which is Genetic Algorithm (GA) is used for tuning the PSS in order to find the optimum values of the gain (K) that give the best system stability.

IEEE 1St- MI-STA2021 25-27/5/2021

A Comprehensive Investigation into the Impact of Integrating High PV Penetration on The Libyan Network ID 134 Authors Mohamed.S.M Elzubi and Mohamed E. Kurdi Abstract— Renewable energy technologies has improved significantly in the previous years. This improvement has increased the renewable energy share in the energy market. However, integrating utility-scale photovoltaic (PV) generation will change the power system structural scientifically from traditional networks to smart grids, which will affect the static and dynamic behavior of the power system. This paper investigates the impact of high PV penetration on steady state and dynamic behavior. Multiple PV penetrations are implemented in order to observe the steady-state voltage profiles, while dynamic studies are conducted to investigate the effect on the voltage and rotor angle stability, during disturbances. Moreover, an additional study is conducted to simulate integrating large PV generation simultaneously with the conventional generation to cover the power shortages during maximum demand seasons. The western Libyan transmission network is chosen as a test network, since it has around 10% generation shortage. The simulation results demonstrate that the integration of utility- scale PV generation has a positive impact on the overall system voltage profile at steady- state condition. However, when replacing the conventional generation with PV the rotor angle stability and the voltage stability during and post disturbances are negatively affected. When the PV generation and the synchronous generators are operating simultaneously at average load the rotor angle in certain units will increase over permissible value. However, at maximum load operation when the shortage reaches around 20% of the peak load. The PV integration will have a beneficial impact on the rotor angle stability as well the voltage stability, due to the additional active power availability.

IEEE 1St- MI-STA2021 25-27/5/2021

Reduced Instruction Set Computer Design on FPGA

ID 136 Authors Mohamed M. Eljhani and Veton Z. Kepuska Abstract— The main purpose of this paper is to design, verify and implement 8_bit RISC (Reduced Instruction Set Computer) processor that can be used for many embedded applications. The basic modules of this processor are programmed and simulated using Verilog HDL (Hardware Description Language), and implemented on Cyclone IV FPGA (Field Programmable Gate Arrays). Compared with general CPU it is not merely simplified the instruction set system but also make the computer structure simpler and more rational through simplifying the instruction system. Thus, the operating speed is highly improved. RISC adopts hardwire logic instead of micro-program control to realize its sequential control signals. The speed of control sequence generated is much faster than using micro-program control because it has saved the time of fetching microinstruction. We present a new RISC design philosophy that favors a smaller and simpler set of instructions. Those instructions take the same amount of time to execute. The philosophy of our design architecture was to keep the instruction set very simple. This in turn implies that addressing modes supported by instruction set a further streamlined compared to CISC (Complex Instruction Set Computer) architectures. Avoiding such addressing modes must be kept to minimum, which leads to the instructions that can be executed effectively in one clock cycle.

Adaptive Control of Nonlinear Systems Represented by Extreme Learning Machine (ELM) and the Fuzzy Logic Control (FLC) ID 137 Authors Abdunaser Abdusamad and Mohamed Aburakhis Abstract— Extreme learning machine (ELM) has been used in many fields due to its flexibility to approximate highly nonlinear functions. This is because the hidden node parameters are randomly generated and the outputs weights are computed analytically. The idea is based on producing high accuracy unction approximation that can follow the system path in the appropriate time. One of the best approaches that work in this area for a long time is the Fuzzy Logic Control (FLC) but the problem of the FLC is that it needs a high volume of data to develop a fuzzy system and the approximation accuracy is related to the number of membership functions. In this paper, we present an adaptive control single-input-single-output (SISO) nonlinear system using ELM and FLC and analyze the results obtained in both cases. Our focus is to decrease the overall MSE produced and the control energy needed.

IEEE 1St- MI-STA2021 25-27/5/2021

Stand-Alone Function Approximation Using Fractional Order Techniques ID 138 Authors Mohamed Aburakhis and Abdunaser Abdusamad Abstract— We have previously showed that there is a possibility to generalize the gradient descent algorithm to improve the performance of function approximation technique. The Caputolike, or so-called Caputo, have been used to generalize the order of the gradient descent difference equation. In some applications, there is insufficient prior information about the parameters of the system. In this paper, we show that the Riemann-Liouville definition can also be used to generalize the order of the gradient descent adaptive law, and furthermore, can be used to remedy the extremeness of the initial condition. Moreover, the study discusses the stability of using fractional order adaptive law based Riemann-Liouville. Finally, a numerical example illustrates the advantages of using the proposed technique.

Software Security Framework using the Combination of Use-Misuse Diagrams and Test Driven Development ID 140 Authors Abdelaziz O. Akhlaif, Abdelsalam M. and Salwa M. Elakeili Abstract— Security requirement engineering extends the existing requirements engineering approaches to support the identification and handling of security requirements. Security requirements are considered important aspects and neglecting them in the early stages of systems development can lead to system hack or even failure. Traditional security approaches introduced various solutions to this problem starting from the identification to the representation of security requirements. However, the majority of these approaches focus on the identification of security requirements and ignore the efforts to embed them within the system. In this paper, we present a framework for embedding security requirements from early systems development stages. The proposed framework consists of three phases. Phase I is for misuse cases and their mitigations generation, whereas Phase II is the test case derivation, which deals particularly with converting the misuse cases and the mitigation strategies into defined functional test cases. Phase III is concerned with driving the development process with testdriven development techniques based on the test cases. The approach has been applied and evaluated using two case studies. The results demonstrate that the proposed framework is feasible and acceptable.

IEEE 1St- MI-STA2021 25-27/5/2021

Field oriented control of stepper motors for a mini heliostat tracking Sarr Marie Pascaline, Ndiaye Mouhamadou Falilou, Dieng Biram ID 141 Authors and Thiam Ababacar Abstract— his paper describes the use of field oriented control for controlling a mini heliostat orientation. An open loop tracking based on astronomical equations is implemented to determine the mini heliostat positions following the number of the day and geographic coordinates. These positions are then sent to the motors every 15 minutes. To reduce tracking errors, field-oriented control is used to control and correct the position errors of the stepper motors. The tracking algorithm and the control of different positions of the mini heliostat are modeled and simulated in Matlab/ Simulink. The results obtained show that the positions are reached without overshooting and with response times of less than 0.3 s for both the elevation and azimuth axes.

Improved Active Contour Model through Automatic Initialization: Liver Segmentation Toureche Amina, Laimeche Lakhdar, Bendjenna Hakim and ID 142 Authors Meraoumia Abdallah Abstract— Liver segmentation from Computed Tomography (CT) images is a crucial step in computer aided diagnosis. In this paper, an efficient liver segmentation method based on a new active contour initialization is proposed. First, with Rayleigh distribution, the background noisy in CT image is estimated and removed. Then, Gaussian mixture model (GMM) is employed to compute the optimal threshold based on different values of component Gaussian distributions. To increase the segmentation accuracy, edge detection and morphological filter are employed to remove the minor regions. Finally, the obtained edge of the processed CT image is given as an initial edge map to the Gradient Vector Flow (GVF) model. The proposed method was evaluated on a public clinical database of 34 different people with normal liver and 51 people with abnormal liver with tumors.

IEEE 1St- MI-STA2021 25-27/5/2021

Effect of PV cells failure on solar power production based on sensitive characteristics deviations ID 143 Authors Oussama Tounsi, Mounia Samira Kelaiaia and Hocine Labar Abstract— to increase the efficiency and reliability of photovoltaic modules, the implementation of diagnostic and monitoring system is important, and to decrease the produced kwh price, this paper presents a I-V and P-V characteristics of PV panel studying based en Matlab modeling and simulation. An investigation on the ribbon wire state connecting PV cells to each other characterized by series resistance, and the integrity of the semiconductor of the PV cell junction characterized by the parallel resistance. Therefore studying the behavior of the photovoltaic (PV) array under different mentioned degradation and faulty condition.

Comparison of PID and Artificial Neural Network Controller in on line of Real Time Industrial Temperature Process Control System ID 144 Authors Hafed Efheij and Abdulgani Albagul Abstract— Due to its simple structure and robustness, the traditional proportional- integral-derivative (PID) controller is commonly used in the field of industrial automation and process control, but it does not function well with nonlinear systems, time-delayed linear systems and time-varying systems. A new type of PID controller based on artificial neural networks and evolutionary algorithms is presented in this paper. An powerful instrument for a highly nonlinear system is the Artificial Neural Network. The interest in the study of the nonlinear system has increased through the implementation of a high-speed computer system. In complex systems such as robotics and process control systems, the Neuro Control Algorithm is often applied. Systems of process management is also nonlinear and hard to control consistently.. This paper presents a comprehensive analysis in Which is offline trained by a multilayered feed forward back propagation neural network to act as a process control system controller, That is to say, a temperature control device without prior knowledge of its dynamics. Via the implementation of a range of input vectors to the neural network, the inverse dynamics model is developed. Based on these input vectors, the output of the neural network It is being studied by explicitly configuring it to monitor the operation. In this paper, based on set-point adjustment, impact of disturbances in load and variable dead time, compassion between the PID controller and ANN is conducted. The outcome shows that ANN outperforms the controller of the PID.

IEEE 1St- MI-STA2021 25-27/5/2021

A New Approach to Optimal Wind Farm Layout Design Considering Wake Effect ID 146 Authors Mohamed B. Jannat and Aleksaandar Savic

Abstract— Due to wake effect, the construction of a wind farm requires a wide area of land. One of the main issues when planning a wind farm is the optimal wind farm layout design. This paper presents a new approach to the optimization of the wind farm layout, taking wake effect into consideration. The optimization problem is modelled with two objective functions, which are simultaneously optimized. The result of the optimization, considering wake effect, leads to the dependence between the wind farm Annual Energy Production (AEP) and the occupied area of the wind farm. The proposed procedure is verified using realistic measurement data of wind speed. The obtained results show that the suggested procedure can be successfully applied to the optimal wind farm layout design.

The Effect of Instruction Format on the CPU Performance

ID 147 Authors Musbah M. Elahresh and Abdrazag A. Anan Abstract— Many computer systems benefit from fault tolerance by the ability to continue normal operation in spite of the presence of faults. Safety and critical areas including emergence dispatch, electric power distribution stations, telecommunications, medical life-supporting systems, nuclear reactors control, and others require continues of services and proper operations. Fault tolerance techniques are necessary in order to minimize the probability of catastrophic failures leading to financial or human life losses. In this paper a fault tolerant approach is proposed that adds an extra bit to the instruction format during CPU architecture design to tolerate control flow faults. If that bit indicates an instruction code during the fetching phase then that instruction is decoded otherwise an error is assumed and the system is stopped. The proposed solution is designed at register level and tested by simulation using Quartus II 13.0sp1. A set of different faults were injected in the system. Error coverage and latency are tabulated and analyzes. These measures gave the capability of the proposed technique with respect to fault and errors handling.

IEEE 1St- MI-STA2021 25-27/5/2021

Pathloss Modelling for Next Generation of Millimeter Wave Communications ID 149 Authors Omar Abu Ella, Ahmed Anairia and Mohammed Zubia

Abstract— This paper briefly discusses the utilization issues of millimeter-wave (mm- wave) technology for current and future wireless and mobile communication systems. Then it delves to present a new proposed pathloss model to predict the signal strength in millimeter wave bands. Numerical results show the accuracy and the close fit of the proposed model with the field measurements.

Performance Evaluation of Multimedia Streaming Applications in MPLS Network Using OPNET ID 154 Authors Reema Saad , Mariam Abojella and Azeddien Sllame

Abstract— This paper describes the place of MPLS in current state-of-the-art networking as a quality of service means through performing performance analysis of VoIP and video conferencing applications by comparing the effect of different protocols (OSPF, IS-IS, EIRGP) and the effect of various queuing techniques (PQ, WFQ, MWRR) in order to find the good combination of MPLS, routing, and queuing type that provides efficient suitable quality of service levels. The obtained results illustrate a competent combination of MPLS with queuing discipline, and routing could be achieved for each application, such as MPLS and EIGRP with WFQ queuing is an efficient arrangement for video conferencing application

IEEE 1St- MI-STA2021 25-27/5/2021

Performance of Two-Port Dielectric Resonator Antenna Used for 5G mm-wave Applications Abdulati Abdullah, Ahmed Elshoshi, Abderaof Elmrabet ID 156 Authors and Salwa Ahmed Abstract— a compact two- port P shaped DRA with two stacked substrates is developed. The proposed geometry operates at a resonant frequency of 61.32 GHz with an impedance bandwidth of approximately 5.3% over the range of frequencies between 59.76 and 63.013 with bandwidth value of 3.25GHz. The return loss of such antenna with two-port feeders is -35 dB and isolation level of less than 19dB. DRA works efficiently at the range of mm-wave, as it does not suffer from the conduction loss. Thus, miniaturization of such structure is possible, parametric studies were conducted on the proposed antennas to optimize the suitable dimensions of geometry components to meet the 5G requirements. The achieved bandwidth is suitable for covering the applications as WPAN, for ISM band. All results are simulated using CST microwave studio

Using Partitioned-Based Method for Optimal Epsilon Parameter Extraction on Density-Based Clustering

ID 157 Authors Hafsa Abdjalil Mansori, Omar M. Sallabi and Abdelsalam Maatuk Abstract— Clustering is vital and striking in data mining, a powerful tool to analyze an incredible volume of data created by the progress in applications. The DBSCAN clustering is a wellknown successful algorithm, which has features that are dependent on the density notion of objects within clusters. It can find clusters of the highest dimensionality as long as high dense regions exist, and find clusters with different shapes. Besides, it is robust in dealing with noise and large spatial datasets, so that it is important and succeeded in dealing with large datasets, i.e., big data. This paper aims at proposing an enhanced version of the algorithm, called eDBSCAN, to gain the suitable input parameter (Eps) on the classical DBSCAN algorithm using the partitioning method. We used the MC-means algorithm in the extraction of the optimal Eps value. The experimental study proves that the eDBSCAN algorithm is efficient in determining the Eps value, through a variety density included in a data set. The results achieved in purity indicate the Eps value effectiveness and accuracy to 100% percent on the data sets used.

IEEE 1St- MI-STA2021 25-27/5/2021

Analysis and Evaluation QoS of VoIP over WiMAX and UMTS Networks ID 161 Authors Omar Shgeim, Albahlool Abood, Nasr Abosata, Hosam Alzawam, and Husam Haqaf Abstract— The real-time service such as voice over internet protocol (VoIP) is considered the best type of conversational voice due to ability and the possibility of making a VoIP calls at any time and from anywhere with the lowest cost. In this paper, we explore the performance of UMTS and WiMAX networks for VoIP service. This work focuses on VoIP quality when sent under various network loads such as HTTP, Email, FTB and Video Conferencing. In UMTS network, the VoIP was congested with HTTP traffic, while in WiMAX network the VoIP was congested with many types of traffic such as HTTP, Email, FTP and Video Conferencing. These traffic flow effects on voice traffic are analyzed and evaluated in terms of end-to-end delay, jitter and packet loss with service quality (QoS). All simulation scenarios are performed with OPNET modeller 14.5.

Investigating the Impact of Different Data Representation with Several Classification Models on Magnetic Resonance Imaging (MRI) ID 164 Authors Sokena Elfallah, Ehab Elfallah Mohamed A. Abdallaand and Bilal Aljabour Abstract— Alzheimer is one of the dementia diseases. It often infects elderly people who are beyond 65 years old. Alzheimer diagnosis (AD) relies on the analysis of the magnetic resonance imaging (MRI) and the scale of the clinical dementia rating (CDR). The automatic AD has widely been carried out adopting different methods. The investigation of the digital MRI samples with CDR scale has been the cornerstone of the automatic studies of AD. Those studies have resulted in various accuracy rates when they applied diverse techniques. This paper presents and compares several techniques of image normalization and classification models for improving the accuracy rates of AD. Four normalizations techniques, which is Z-score, Min-Max, Decimal Scaling and Standard deviation are examined. Whilst, the classifiers are Naïve Bayes, Logistic regression, decision tree (DT), k-nearest neighbors (kNN), Artificial Neural Network (ANN), and support vector machine (SVM). The analyzed dataset involves MRI from 150 individuals and its CDR scales. The experiments of this paper has been mplemented using Orange software. Although the overall accuracy rates are quite good, the best findings are 91.2% from logistic regression when it analyzed the normalized dataset using Z-score. Comparing with other studies, the results of this study have shown significant improvement based on utilizing the normalization techniques.

IEEE 1St- MI-STA2021 25-27/5/2021

Nonlinear State Estimation of Power Plant System using State-Dependent Kalman Filter ID 166 Authors Salah Abokhatwa, Khaled Hadad and Reza Katebi Abstract— In this paper a nonlinear Kalman filter estimator is presented to estimate the states of a nonlinear large scale power plant system. Power plant process is a highly nonlinear process, therefore state estimation techniques that uses a linearization- based approach has a limited performances due to linearization errors. This paper proposed an alternative nonlinear estimation approach that based on the State-Dependent- Differential-Riccati-Equation (SDDRE). This technique avoid linearization and can fully take into account the system nonlinearities and the measurement noise. An 11th order nonlinear model of power plant system was first developed and simulated using decentralized PID controllers and then used for the design of the nonlinear estimator. The performance of this estimator is demonstrated via nonlinear simulations. The results show good performance of the proposed SDDRE filter for large scale systems with high nonlinearities.

Applying the Histogram of Oriented Gradients to Recognize Arabic Letters via Matlab Aisha Douma, Gökhan Şengül, Fathia G. Ibrahim Salem and ID 167 Authors Abdussalam Ali Ahmed Abstract—The aim of this paper is to recognize the Arabic handwriting letters by using histogram of oriented gradients (HOG). We collected 2240 letters by 8 people, each person wrote 28 alphabet letter 10 times. First of all we resize All 2240 hand writing letter of Arabic Alphabet as images(pre-processing) after that extract these images by using one of feature extraction methods which is histogram of oriented gradients (HOG) .For classification, the K-Nearest Neighbor (KNN) is used. The results are shown by using 1120 images in the one case and 2240 images in the second case and evaluate these results with the confusion matrix. Another cases we used leave one out (LOO), 2-fold classification and leave one out cross validation. The best fully performance of HOG was with leave one out technique.

IEEE 1St- MI-STA2021 25-27/5/2021

Detection of Suspicious Activities of Human from Surveillance Videos Using Matlab ID 168 Authors Fathia G. Ibrahim Salem, Reza Hassanpour, Abdussalam Ali Ahmed and Aisha Douma Abstract— video surveillance has been used from a long time to provide security in many sensitive places, so with this great progress in various aspects of life the traditional surveillance operations are facing many problems because of the large amounts of information that must be handled manually in a limited time also the possibility of information loss which can contain important things such as suspicious behaviors. So recently, a large amount of research has been conducted on video surveillance. In this thesis, we will present a system to support the smart surveillance for detecting abnormal behaviors that represent security risk. The proposed algorithms are intended to detect two cases of human activities namely, walking and running. We impose no restriction on the number of people in the scene, and the direction of the motions. However, we restrict the videos to indoor color videos, where the video are captured by one stationary camera. The moving objects which correspond to people in the scene are detected by background subtraction algorithm. We consider the displacement rate of the centroids of the segmented foreground areas and the rate of change in the size of the segmented areas as the two main features for activity classification. The proposed algorithms determine the activity type with a high accuracy rate.

Implementation of Stabilized Aircraft Control Surface using Inertial Sensors, MATLAB & Arduino ID 171 Authors Othman Maklouf, Aseel Mgig, Mohamed Ashawesh and Abdul Baset Eljubrani Abstract— This paper introduces a self-stabilizing aircraft control surface by development an electronic circuit that consists of Inertial Measurement Unit (IMU) with Arduino board and servo motors. This will include, dealing with MATLAB® and Control System Toolbox™, explore the variety of advantages offered by PID controllers, and includes theory about inertial sensors and servo motors. An implementation of the design electronic circuit was achieved and built on an off the shelf of a small aircraft model. The overall system was tested and several experiments were conducted. Several output measurements were collected and post processing to stabilize the overall model

IEEE 1St- MI-STA2021 25-27/5/2021

Wireless Communication and Control Systems: Case Study: Karthoom Water System ID 172 Authors Omer Zergalin, Yousef Ali and Fadel Lashhab

Abstract— Many have argued that properly managed water supply infrastructure is crucial to citizens’ health, agriculture, and economic development, especially in developing cities such as in Rujban, Libya. To convert the manual operation system to a completely automatic system, the whole operating system is divided into three parts that are complementary to each other: the Karthoom Automated Control System (KACS), the Idref Automated Control System 1 (IACS1), and Idref Automated Control System 2 (IACS2) since water is pumped on three different stages. The wireless communication network for KACS consists of two main components: a tank that holds one million liters of water with a transmitter nearby, and on the other site of that, seven receivers for seven wells in the Kharthoom area. The transmitter consists of an automatic controller, a four- stage level sensor, seven water flow sensors/meters, and an RF transmitter. Each of the seven ends consists of an RF receiver to control the submersible water pump. An automatic controller will automate and control the system (e.g., Programmable Logic Controller). Each signal of the collecting tank that measures water level will turn on a certain number of the seven submersible pumps depending on the tanks’ water level. The water level sensors can determine this in the collecting tank. A crucial part of this coordination is the flow sensor/meter, which will indicate if a particular well is producing water or not. Thus, all of this data would be monitored by the operator at the Karthoom central station. This paper introduces a new design for the wireless communication network for the KACS.

IEEE 1St- MI-STA2021 25-27/5/2021

BER Performance Comparison of M-PAM over AWGN and Fading Channels ID 174 Authors Hnady Almaktof, Amer Zerek, Amer Daeri and Fatima Laassiri Abstract— An M-ary pulse modulation technique is widely used in communication systems. One of the popular M-ary pulse modulation schemes is M-ary Pulse Amplitude Modulation ( M-ary PAM), which plays an important role in the modern wireless communications systems . In this work the multi-level ( M-ary) PAM, modulation for M=16, 32, 64, 128 and 256 –PAM is investigated and simulated using Simulink 2017a, where the proposed system implements multi antenna diversity of 2x3, two antennas for the transmitter and three for the receiver. This investigation is done over AWGN, Rayleigh and Rician channels using Multi Input Multi Output (MIMO system in order to compare the Bit Error Rate (BER) performance for the mentioned channels. The achieved simulation results indicated that the BER increases as the level of M-PAM increases at the same Eo/No value, which is normal since this is the case with most M-ary techniques. Also the M- ary PAM over Rician channel has a better BER performances than the M-ary PAM over AWGN and Rayleigh channels at BER=10-4 .

IEEE 1St- MI-STA2021 25-27/5/2021

Practical Investigation of Some Characteristics of the Solar Distillation System for Solar Water Desalination ID 177 Authors Eman Garmoud Abstract— This paper deals with a practical investigation of some of the physical properties of a solar distiller for desalination of water using solar energy, as a solar distiller was designed equipped with a tank of sea water to feed it, and the device was placed in a horizontal plane by a base, where it was found practically through previous studies that the best direction for the distiller. The solar distillation is in the southeast and the solar distillation is fixed in a place exposed to solar radiation during the hours of solar brightness, and this place is located in College of Education - Janzour, where the entry and exit temperatures of the solar distillery were recorded from the hour 09:00 AM to 14:00 PM for each day for a period of five months The study period started from the month of November, 2019 to March, 2020. The productivity of the solar distiller and the volume of water obtained per day, as well as the air temperature for each day and for each hour, were calculated. The overall efficiency of the solar distillation was calculated and the results obtained were recorded in tables where the average months were taken with time, and the solar radiation data were taken from the period November, 2019 to March, 2020 from the Research Center for Renewable Energy and Water Desalination – Tajoura The results were discussed according to the previously defined climatic and weather conditions for the same period with the graphical representation and the inclusion of the values shown in numbers for each month, as the efficiency of the solar distillation ranges in the range of (6%) and this efficiency is considered reasonable with the efficiency of other solar distillates of the horizontal type, as well as the results are determined. The depth of the water inside the distillation basin has a large impact on productivity as the productivity increases as the depth of the water inside the distillation basin decreases, directly with the increase in the evaporation rate.

IEEE 1St- MI-STA2021 25-27/5/2021

High Gain, High Efficiency and Wideband Double Dipoles Quasi -Yagi Antenna for 5G Millimeter-Wave Applications ID 179 Authors Moustafa M. Abdalla and Mohammed Al-Tounsi

Abstract— This paper describes a high efficiency, high gain and wideband double dipole quasi-Yagi antenna for use in 5G millimeter-wave applications. The proposed antenna was designed on both layers of a low dielectric substrate to minimize the effect of surface waves and hence improve the gain. The antenna was fed through broadband microstrip to coplanar strip-line transition and was matched to a 50-ohm system. Using double dipole as drives and two directors helps maintain wideband operation and stable radiation patterns. The simulation results yield an impedance bandwidth of 25.15 to 39.6 GHz for reflection coefficient |푺ퟏퟏ| < -10dB, gain of average gain of 7dBi. Low crosspolarization level and stable radiation patterns were realized from this design. The antenna also demonstrates a high radiation efficiency of over 97% within this bandwidth. This antenna can be widely used in high data rate wireless communication systems.

Performance Evaluation of the Impact of Mutual Coupling on DOA Estimation in Wireless Systems ID 180 Authors Moustafa M. Abdalla and Taissir Y. Elganimi Abstract— The performance of high-resolution Direction-ofArrival (DOA) estimation system is degraded in the presence of mutual coupling among the elements of an antenna array. In array signal processing field, several techniques were introduced to deal with the mutual coupling effects. This paper studies and investigates the influence of the mutual coupling on the performance of DOA estimation based on the highresolution Multiple Signal Classification (MUSIC) algorithm in uniform linear array configuration that is commonly used in 5G millimeter-wave massive Multiple Input Multiple Output (MIMO) systems. In addition, statistical analysis of the performance of the DOA using MUSIC algorithm in the presence of mutual coupling is discussed. Extensive computer simulation is carried out to assess the performance of the algorithm under mutual coupling effects, and the results are compared with standard MUSIC method without compensation of mutual coupling. Simulation results demonstrated that the adopted method of compensation achieves good performance of DOA estimation in the scenarios with mutual coupling effect.

IEEE 1St- MI-STA2021 25-27/5/2021

A Comparison of Pattern Recognition Approaches for Recognizing Handwriting in Arabic Letters Using MATLAB ID 182 Authors Aisha Douma , Abdussalam Ali Ahmed, Gokhan Sengul, Johnson Santhosh, Omer S. M. Jomah and Fathia G. Ibrahim Salem Abstract— For Arabic letters recognition, we achieve three of pattern recognition approaches namely gray level cooccurrence matrix (GLCM), local binary pattern recognition (LBP) and artificial neural network (ANN) and compare between them to result best performance. Two of these methods level co-occurrence matrix and local binary pattern recognition are used for feature extraction whereas in artificial neural network (ANN) we use the intensity values of pixels for input of the neural network. Two classifiers are used, the K-Nearest Neighbor classifier (KNN) for the LBP, GLCM and neural network classifier for (ANN) artificial neural network. Also, we evaluate the results by using leave one person out approach, fold classification and leave one out.

Design Ultra-Wideband MIMO Antenna to meet 5G communication systems requirements ID 184 Authors Mohammed Ali Emhemmed and Ibrahim M Saleh Abstract— This paper presents a design of an Ultra-Wideband multiple-input multiple-output MIMO (multiple inputs multiple outputs) antenna with a partial ground plane and rectangular patch, working in 5G millimeter-wave (mm-wave) band, antenna covers broadband from 28GHz to more than 60GHz. With small size and low-cost substrate, and low-profile patch. The antenna made of of Rogers RT5880 substrate with a dielectric constant of 2.2, and loss tangent of 0.0009, a standard thickness of 1.575mm, and copper patch and ground with thickness 0.035mm. The partial ground technique is employed to achieve an ultra-wideband. For single element antenna, the Substrate dimensions are 24mm×10mm and patch with dimensions 4mm×2.98mm with Inset-fed technique is used. The proposed antenna resonates at all frequencies between 28 GHz and 60 GHz, with a return loss (S11 ≤ -10 dB) for all frequencies. The proposed design provides the wide Bandwidth, high Gain, small VSWR, and good radiation efficiency over the whole operating band. For MIMO antenna, the proposed design consists of 4-elements with a 4-wave ports to provides the most optimum results and fulfill 5G systems requirements, to achieving gain up to 20dB, other MIMO antenna parameters like Diversity Gain, and Envelope Correlation Coefficient. The overall size of the 4-elements MIMO antenna is 96x10x1.575 mm3. It is also achieve a mutual coupling of less than -25dB without utilizing a decoupling structure, or defective ground structure (DGS), or slotted patch. The proposed Antenna is designed and simulated on CST Microwave Studio and Ansoft HFSS and the results showed good agreement for both software.

IEEE 1St- MI-STA2021 25-27/5/2021

Smart Energy Meter System Design & Simulation Presenting Electricity Theft Methods, Detection and Protection ID 185 Authors Hazem Zubi and Ahmed Alrmaih Abstract— Design of an electricity smart meter depends on the technical requirements of the utility company as well as the customer, meanwhile assisting in facing electricity management and distribution several challenges. One of those challenges is electricity theft. Other than typical transmission power losses, considerable extra losses are due to the theft of supplied electricity at the customer premises. Power utilities are observing for means to detect theft and preventing it from occurring. In this paper, smart energy meter system specifications are presented as well as a typical model is configured and designed. System ability of smart measurement under normal conditions and various theft circumstances is verified via detailed simulation analysis. Several theft techniques have been implemented and the smart energy system detection facility in addition to protection capability are presented and detailed.

A Hovercraft Prototype for Landmine Detection

ID 187 Authors Esraa Endesha and Hamza Muard and Youssef Gdura Abstract— Landmines are explosive devices that can be offensively used during conflicts to destroy or damage infrastructure, and their devastation can last for decades if they were not removed from the affected areas. Generally, the first and most critical step in any landmine clearance strategy is the detection of buried mines, and the efficiency and reliability of landmine detectors depend on several factors such as safety, cost, speed, accuracy, and complexity. In this paper, we propose a remotely controlled hovercraft prototype for landmines detection. The primary objective of this proposal is to provide a safe and uncomplicated detection vehicle for deminers. The proposed vehicle is a simple machine structure, and it is safer than conventional hand-held metal detectors since it can be driven remotely. It is also designed to be a userfriendly machine that does not require any skills or special training programs as is the case for mammals and robots. Test performance was carried out, and the prototype met our design’s expectations. Its maneuver in all directions was successfully controlled remotely, and it was effectively capable to detect and send signals to the operator whenever it detects a metal beneath it.

IEEE 1St- MI-STA2021 25-27/5/2021

Automatic Posture and Limb Detection for Pressure Ulcer Risk Assessment ID 189 Authors Eman Elsharif, Nabil Drawil and Salaheddine Kanoun Abstract— Pressure ulcers’ problem is one of the most acute and costly health conditions. It causes suffering, pain, and extensive treatment. Furthermore, the treatment of pressure ulcers puts a huge burden on health care providers. In this paper, we propose a system capable of assessing the risk of ulcer of each at-risk limb using the publicly available data acquired from a commercial pressure Mat. The system first classifies sleeping postures and then identifies limbs and finally tracks and profiles the impact of the applied pressure on each limb. Based on these profiles, the system generates an alert before pressure ulcer is developed. Such a system minimizes the overall cost of nursing staff and the involvement in repositioning patients while simultaneously decreases the chance of pressure ulcer formation. A significant amount of experimental work has been conducted in order to choose suitable algorithms and parameters for each stage of the system: starting from the pressure image preprocessing, then feature extraction and posture classification, and ending by limb identification and profiling stage. Satisfactory and promising results have been obtained; where sleep posture classification achieved 99.6% overall accuracy using feed-forward artificial neural network. The limb identification is performed using advanced clustering techniques and evaluated using the silhouette index, which shows a high-quality index. Predicting the risk of pressure ulcer formation for each atrisk region is reported graphically. It was evident from the results that the proposed system would contribute significantly to the enhancement of the human body lying posture monitoring systems.

IEEE 1St- MI-STA2021 25-27/5/2021

Improvement of Earthing System in Khoms New Gas Turbine Power Station ID 190 Authors Salahedin Elayeb, Alseddig Elzowawi, Khaled Milad, Hussain Salem, Faraj Alhadar and Salah Alteir Abstract— Earthing systems have a vital job in the field of electrical power generation. Khoms Power Station fast track project has recently experienced a massive damage in power station switchgear. In order to avoid similar and undesirable damage in the future, the replacement of the switchgear requires evaluating the earthing system in the station. Therefore, experimental investigations were carried out in the site of the station to examine the earthing system. Furthermore, this research proposed a suitable solution to improve the existing earthing system in order to meet the requirements for the station and the new installed equipment. As a result, the enhanced earthing system has shown a significant performance.

Surface Wave Reduction in Integrated Microstrip Patch Antenna at 60GHz Band ID 192 Authors Adel Saad Emhemmed , Daw Ali Mohamed and Mahmoud Mohamed Almodi Abstract— In this paper present a comparing between different techniques that used to enhance the performance of integrated micro-strip patch antennas at 60GHz band. These include tapered feed matching, back holes and Electromagnetic Band Gab (EBG) to reduce the surface waves losses. The antenna structures which are proposed in this paper combines the advantages of inset taper micro-strip feed line with the advantages of backed holes patch antenna and electromagnetic band gap (EBG) which is simplifies the antenna structure to make it easier to integrate the micro-strip patch antenna with MMICs. A significantly increased radiation efficiency has been shown by the back holes patch antennas compared to micro-strip patch antennas directly printed on top of the same Gillum Arsenate (GaAs) substrate. The simulation results show that the maximum predicted gain is 3.9dB for the antennas of the cylindrical back holes, while a conventional micro-strip patch on the same substrate has a maximum predicted gain of 1.9dB. The antenna of the EBG structures shows broadband characteristics. The 10dB bandwidth is 7.3 GHz from 57.8 GHz to 64.5 GHz. The simulation process has been done through 3D high frequency structure simulator (HFSS).

IEEE 1St- MI-STA2021 25-27/5/2021

Modeling and Design of Reconfigurable Milt-Band Frequency Selective Surface ID 195 Authors Adel Saad Emhemmed, Luojen Jerbi and Nuredin Ali Ahmed Abstract— In this paper, we have proposed a reconfigurable multiband cell frequency selective surface with high selective frequency performance. A single layer ring loop, square loop and cross dipole elements with four switches form the reconfigurable multiband frequency selective surface (RFSS) unit cell proposed in this paper. The cross- dipole structure is combined with the square loop and ring loop components to provide multi-band function. The proposed structure of RFSS can be used for many applications to pass or reject different frequency bands below 12 GHz. The proposed design is simulated and optimized using commercially available Ansys HFSS software.

Application of Offset Averaging Filters to enhance the tracking information for small moving targets ID 197 Authors Hamza Alzarok Abstract— Object tracking has become one of significant tasks in the area of computer vision, it has been widely applied for robot navigation and localization, automated surveillance, traffic monitoring, etc. vision sensors have been a favored choice for these tasks because of the simplicity of installation, cost effectiveness and the ability to operate in unstructured environments. However, obtaining accurate tracking information via vision sensors is not an easy task. In this paper, we deal with two types of tracking problems. The first is when a low-resolution camera is used as a tracking system, and the second when the target object has different motion patterns, therefore, in order to cope with the aforementioned problems, a super-resolution technique, namely an Offset Averaging Filter (OAF) will be applied for improving the spatial resolution of images, it has previously proved its capability to enhance the spatial resolution up to four times. In this paper, an OAF technique will be used for enhancing the visual information about a target object moving in different motion patterns which are: translation, rotation and rotation plus translation. Moreover, a feature extraction algorithm, namely Two-Stage Circular Hough Transform (CHT) will be applied on the reconstructed images in order to detect and track the moving object. The results showed the capability of OAFs in improving the spatial resolution for the low resolution captured frames, and thus enhancing the visual tracking information for the small moving target objects with the three different motion scenarios.

IEEE 1St- MI-STA2021 25-27/5/2021

Information System For The Selection Of Optimal Modes By Two-Angle Electron Beam Treatment ID 198 Authors Valentina Lazurik , Salah Sawan, Valentin Lazurik and Vladimir Rudychev Abstract— A technology has been proposed for determining and storing the results of processing the depth-dose distributions obtained using computer modeling by the Monte Carlo method or the dosimetric wedge method for choosing the optimal modes of radiation treatment of objects when irradiated by electron beams at different angles. The software for obtaining data sets was selected and a database for their storage was developed. A software shell has been created for saving and retrieving reference data sets.

Performance Comparisons of Low-Power Low Noise CMOS Voltage Controlled Differential Ring Oscillators in 65nm Process ID 199 Authors Sami Bizzan, Abdulmoied Abdulbasit Omar and Alharari Alsori Alharari Abstract— voltage-controlled ring oscillators are essential part of any clock generation/recovery system. Various developments and implementations of these oscillators appear in the literature for different process technologies. In this paper, we have reproduced the results of these novel circuits using publicly available process technology, namely, 65 nm [1]. We have also redesigned the circuits to only have three stages and we have scaled the transistor sizes to suit the process. The results are tabulated side-by-side for comparisons. Design I generated a maximum frequency of 28.5 GHz while design VI occupied the least silicon area of 2.049 흁풎ퟐ (gate area). Design II consumed the least amount of power, 0.02 mW. These results are expected to deviate slightly after post-layout simulation, however, the relative magnitudes should hold true

IEEE 1St- MI-STA2021 25-27/5/2021

Effect analysis of the arthemitic code on some single baseline phase unwrapping techniques ID 200 Authors Tarek Bentahar, Youcef Soufi, Atef Bentahar and Riad Saidi Abstract— Phase unwrapping is a key step of the in SAR interferogram processing. This process is used to reconstruct 3D presentation of the scanned surface called digital elevation model from the measured phase. Several phase unwrapping algorithms have been proposed to solve the path-depending problem of the basic integration process. Transmitting interferograms from satellite to earth station for treatment purpose such as the phase unwrapping is also a big challenge; almost channel capacities are limited and cannot support the large size of the surface data. For these purposes, the use of encoding and compression techniques to transmit the interferograms is unavoidable. In this paper, we analyze the effect of the arithmetic code on some pioneers phase unwrapping techniques. The chosen methods are implemented and tested for real inSAR data provided by ESA ERS-1, and compared according to relevant metrics.

Feature fusion using the Local Binary Pattern Histogram Fourier and the Pyramid Histogram of Oriented Gradient in iris recognition ID 201 Authors Wafa El-Tarhouni, Amina Abdo and Amina Elmegreisi Abstract— Recently, more researchers have been interested in the fusion of many features of biometric modality. Real world problems are to find answers due to its assistance in finding solutions to a host of current real world problems. Sufficient data is available in scheme that is easily accessible and can be put together into a feature vector. A combination of local Binary Pattern Histogram Fourier (LBP-HF) descriptor and the Pyramid Histogram of Oriented Gradient (PHOG) is concentrated on in this research, histogram bins are now made distinctive. Classifications may be hamper due to the fact that several features may result in problems. In orders to find a solution to this difficulty Principal Component Analysis (PCA) should be applied in order to minimize the size of the vector dimensionality of the iris features. The set of random samples of the compound features is setup to generate several weak multiple Support Vector Machine (SVM) classifiers and can be fused into a powerful digestion rule. Using the challenging CASIA–v4 database when experiments were conducted to determine the approach utility. It was found that the purposed work has excellent findings when the approach was evaluated against existing methods.

IEEE 1St- MI-STA2021 25-27/5/2021

TOWARDS NET ZERO ELECTRIC ENERGY FOR TRIPOLI UNIVERSITY HOSPITAL ID 202 Authors Ibrahim Mohamed Saleh and Ekram Omar F. Aljadidi Abstract— Electrical energy is an essential source for our life, customers everywhere are concerned about their electrical bill at the end of the month. Nowadays, everyone is looking either for cutting the electrical bill or for zero electric energy buildings. Zero electric buildings can only be achieved by a free energy source, one of the available free sources are renewable energy sources. Solar energy is a renewable and clean energy source that is available almost everywhere, Photovoltaic conversion of solar energy has been used worldwide and became popular for generating electricity. In this paper, we are seeking the achievement of a Net Zero-Electrical Energy Building for Tripoli University Hospital located in Tripoli city with a capacity of 1200 beds. The hospital’s total area is 27 hectares, the average monthly electric energy consumption throughout the year is 1,079,733KWh/month. The daily average direct normal irradiance at Tripoli (DNI) is 5.368KWh/m2/day. The system which will be designed is a grid-connected system that interacts with the electric utility grid to supply the hospital during nighttime while using solar energy during daytime, and sending the excess energy to the grid. The designed system was simulated using PVSyst simulation program. It was found that the high solar irradiance and la rge free areas in the site are capable of generating more electric energy on a yearly average than the entire building totally consumes.

RLS Identification Model of Bearing System

Munya Arwin, Weiam Saheri, Nasar Aldian Shashoa ID 203 Authors and Ibrahim Jleta Abstract— RLS parameter identification algorithm of bearing systems is derived in this work. The algorithm is validated using the average predicted output error and estimation error. Bayesian Information Criterion is used to define the order of this model. Finally, the Case Western Reserve University (CWRU) Bearing Data Center are used to offer the effectiveness of this algorithm.

IEEE 1St- MI-STA2021 25-27/5/2021

A Fuzzy Logic-based Decision Support System for Minimizing Delay of VoIP in MANET ID 204 Authors Abdusalam Yahya and Ashraf Abdalla

Abstract— Due to its cost-saving and flexibility Voice over Internet Protocol (VoIP) has become one of the most popular applications for voice communication through the Internet. Mobile Ad hoc Network (MANET) is a dynamic wireless network that consists of several mobile devices. In MANET performance issues like high end-to- end delay can significantly affect the Quality of Service (QoS) for VoIP. The performance of MANET may be influenced by the number of mobile nodes and the mobility model parameters like pause time and speed of mobile nodes. Therefore, to accomplish the best performance in MANET, it is essential to choose its ideal parameters. Fuzzy logic can understand linguistic variables and imitate the way of human thinking. This study intends to present a fuzzy logic-based decision support system (FLDSS) to minimize the delay of VoIP in MANET. The FLDSS is used to determine the best MANET parameters that produced low VoIP delay. Network Simulator version 2 (NS2) was utilized to conduct the data collection stage and for evaluation of the model. MATLAB was used to construct the suggested system. The results verified that the proposed system has notably minimized the delay of VoIP packets in MANET

A Performance Study of WIMAX OFDM Includes Space-Time Block Coding ID 206 Authors Ramdan Khalifa , Sliman Ka. A. Yaklaf and Khaled Elgantri Abstract— Age of wireless mobile contact is approaching rapidly. Users are increasingly demanding flexible and convenient communication modes that are accessible without losing quality and efficiency. The market for high-speed broadband infrastructure with lower energy costs. The challenge is to provide high performance, high speed, and portable customers. The response to these criteria could be that Worldwide Microwave Connectivity Interoperability (WiMAX) is a high technology that provides sub-channel services to individuals and groups. The effect of Space-Time Block Coding (STBC) on WIMAX performance is studied in this paper and compare it without STBC using Model Architecture for the WiMAX Orthogonal Frequency Division Multiplexing (OFDM) Physical Layer.

IEEE 1St- MI-STA2021 25-27/5/2021

Radio Propagation Models Comparison and Tuning for Long Term Evolution (LTE) Based on Experimental Data in Tripoli Libya ID 209 Authors Abdalraof Hams, Nagia Gaboua, Mostafa Abuitbel and Ismail Shrena Abstract— The mobile operators in Libya, like many other operators, use some propagation models to predict the strength of the signal at the receiver, but without analyzing which model is the best for the Tripoli region. This paper presents a comparison of four radio propagation empirical-type models (COST 231, Okumura, Okumura-Hata, and Ericson 9999) based on LTE technology to be applied at different locations within Tripoli environment. The field measurements analysis shows that the Okumura has the lowest RMSE value, which is being tuned using real data collected from the local environment.

Energy Generation Potential from Wind Power in the Southern Libyan Regions ID 210 Authors Omar G. Mrehel and Abduladem G. Salama Abstract— this paper attempt to evaluate the potential of wind energy as a power source in Libyan's southern regions, in particular Sabha, Obari, Alqtroun, and Hun cities. By determining the Weibull parameters using the 10 min average wind speed data at heights of 10, 20, 30, and 40 m. the data of wind have been extracted at 100 m height and over 12 months period duration with the help of Windographer Software. Moreover, the selection of the suitable wind turbine for each site was determined based on the highest Net Capacity Factor, also the monthly and yearly wind speed changes were investigated and the power and energy densities were assessed for all proposed locations. The results got showed that the maximum values of wind potential for all sites were in March, while the lowest values were in September. Sabah’s site demonstrated the best option to produce electrical energy from wind compared to other sites.

IEEE 1St- MI-STA2021 25-27/5/2021

Implementation of LED Based Spectrophotometer using SoC_FPGA

ID 211 Authors Nada Alhamdi and Mohaned Aboudiah Abstract— In this paper, a medical diagnostic solution for a patient is implemented to measure a Glucose level in the blood by using low cost LED Spectrophotometer rather than a commercial one used in laboratory. This can be done by calculating the concentration of biochemical components within some solutions in cuvettes placed at eight different positions, this is achieved by measuring the absorption of monochromatic light passing through the sample in the cuvettes. By using eight LEDs of different wave lengths as light source and eight phototransistors as light detectors, the delivered analog signals from the phototransistors which represents the absorbance of light in the cuvettes are converted into digital values using one of the eight Analog to Digital Converter channels. The digital values are then used to calculate the concentration of the component in the corresponding cuvette. Beside some external components, resources on Terasic VEEK-MT2 Board are used to implement this design which is mainly based on FPGA logics and modules in the Intel System-on-Chip (SoC) FPGA Cyclone® V SE 5CSXFC6D6F31C6N device to generate needed control signals and the seven segments placed on the board are then used to display the resulted values in hexdecimal, finally the LCD touch panel is used for displaying the results.

A Robust Color Image Watermarking Improvement Scheme Based on Image Normalization ID 215 Authors Ali Ukasha, Ruqiya Alabid, Ibrahim Nasir and Fathi Alwafi Abstract— Many researchers concerned with watermarking for copyright protection purposes and several watermarking methods have been developed in order to overcome that problems caused by attacks especially geometric attacks which have more challenging issue.. There is a main issue related to the image copyrights protections watermarking and its robustness against geometric attacks. One of the solutions is watermarking based normalization technique which provides invariant properties against geometric attacks. There is a need for a deep investigation of the robust watermarking based normalization technique to guarantee achieving the robustness against geometric attacks while conserving the image quality. This paper is mainly focuses on the topic of digital image watermarking. It presents investigation and improvement of one existing algorithm which was introduced to be a robust color image watermarking scheme based on image normalization technique in order to make the system resistant to signal processing and geometric attacks. The improvement makes this algorithm robust to geometric attacks such as rotation, scaling and translation. Related theories used in watermark embedding and extraction procedures are illustrated in this work. Results and evaluation of watermarking system are described will be included in this paper.

IEEE 1St- MI-STA2021 25-27/5/2021

Characterizing the effects of human body blokage and scattering objects for 31and 33 GHz indoor 5G link ID 217 Authors Amer Daeri, Ahmad Alabish and Ali S. Dowa Abstract— 5 G technology, supposedly as per many experts will provide higher data rates per user, lower latency, more efficient power consumption and better interference management. Many research work has been done in the literature for the targeted 5 G range between 6 – 100 GHz utilizing various wireless channel models for indoor and outdoor environments. This paper is concerned with studying the effects of human body blockage as well as surrounding objects scattering effects for an indoor 31 and 33 GHz link utilizing the Double Knife Edge Diffraction (DKED) model for diffraction effect on received signal. Regarding the reflection effect a lustrous reflection model is being employed to predict the attenuation caused by the reflector plate. This work is a continuation from previous work on studying effects of 28 GHz indoor link (Ahmad Alabish et. al) . The obtained results showed that there is an improvement in received signal strength at these frequencies.

DKED modelling of Human body blockage of 5G system link at 32 GHz

ID 219 Authors Amer Daeri, Ahmad Alabish, Alyaseh Askir and Issa Ali Abstract— This paper is the continuation of a research carried out by Alabish et.al, which depicts the scattering objects effects on a blocked indoor wireless 5G link by a human body using a simple approach. The effects of scattering object nearby the link were studied by conducting measurements with a human body. In this paper, more measurements were conducted at 32 GHz. To predict the attenuation caused by human body, the double knife edge diffraction (DKED) model was used. To test the prediction precision of the model, simulation was then compared with measurements. The results suggest that the simple models provided perform well for indoor links.

IEEE 1St- MI-STA2021 25-27/5/2021

Robust Control Strategy of Converters Used in a Photovoltaic Conversion Chain ID 220 Authors Bedoud Khouloud, Bahi Tahar and Merabet Hichem Abstract— This paper presents the modeling and the control of photovoltaic system connected to the electrical grid. The remarkable evolution in the field of power electronics has given to static converters great importance in energy conversion systems. Where, the possibility of varying the phase angle and the amplitude of the inverter facilitates the compensation of the reactive power. The control strategy developed in this work is mainly based on: maximum power point tracking using Perturb and Observe for boost converter and the control of active and reactive power separately. The proposed control system is build and carried out under Matlab/Simulink Software to show the performance and the effectiveness of the proposed control strategy.

Trabecular Bone Microarchitecture Assessment and Fracture Risk Prediction Using Machine Learning Techniques: A Short Review ID 221 Authors Meriem Mebarkia , Abdallah Meraoumia , Lotfi Houam and Seddik Khemaissia Abstract— Today, the technological explosion has led to the digitalization of many already proven applications thanks to the promising results it has provided. In fact, Computer- Aided Diagnosis (CAD) is one of the applications where digitization has played an effective role, especially with the advancement of medical imaging technology. Osteoporosis is one of the diseases diagnosed by computer today. It is a major skeletal disorder that predominantly affects women and has become a major impact on public health. this is a condition characterized by gradually decreased bone mass and deteriorated bone structure, causing bone fragility and fracture risk, especially of the wrist, hip, and spine. Considering the importance of machine learning in CAD systems design. This article provides an overview of various machine learning models for predicting osteoporosis risk. We will review the latest research in the AI application to predict osteoporosis and in particular that related to deep learning used to model the risk of fragility fracture and to help identify and segment images.

IEEE 1St- MI-STA2021 25-27/5/2021

Achieving Zero Cache-Miss based on the Control Flow Graph

ID 222 Authors Musbah M. Elahresh and Abed Elatie Elaraby Abstract— This paper provides a design of a control circuit for reading and writing cache memory with no time overhead for cache miss conditions. this type from circuits is very important in modern computers design to decreasing program execution time. The main objective for new the design circuit provides high performance, avoids cache misses and increases speed of program execution. The focus is on finding an optimal method that provides fast program execution time, avoids cache misses, and that achieves a high performance. The proposed method is based on utilizing the control flow graph of the executed program from the cache. The solution is based on dividing the program into basic blocks of instructions. The program blocks and the execution paths are modeled by the Control Flow Graph (CFG). Nodes of the graph represent the program blocks and edges represent the execution paths. A program traverses an execution path according to the current state of the program which is represented by its data variables. Now if a block is required to be entered from the current block, that block is already available in the cache. This leads to eliminating cache miss. In this paper we provide the design for cache memory control circuit. Many experiments were run and tests, were done for evoluting this control circuit by simulation.

IEEE 1St- MI-STA2021 25-27/5/2021

Performance Analysis of Cooperative Wireless Systems Based on DOSTBC, D-EOSTBC and AF Relaying Protocol ID 223 Authors Alhossin Aljadai, Amani Shoubar, Ahmed Kharaz and Masoud Eddaghel Abstract— The bit error rate (BER) performance analysis of cooperative wireless systems built on distributed Alamouti scheme, orthogonal space time block coding (D-OSTBC), distributed extended orthogonal space time block coding (D-EOSTBC), and amplify-and- forward (AF) relaying protocol, are studied. Amplify-and-forward (AF) and decode-and- forward (DF) are the main relaying protocols. Distributed multi-input multi-output (D-MIMO) system is easy to establish, because the antennas are distributed among different terminals. This paper will compare the BER of five wireless communication models. Firstly, conventional single-input single-output (SISO) system model. This model consists of one source with single antenna and one destination with single antenna. Secondly, distributed SISO model, which consists of one source with single antenna, one relay with single antenna and one destination with single antenna. Thirdly, distributed SISO model with line of site (LoS), which consists of one source with single antenna, one relay with single antenna, LoS and one destination with single antenna. Fourthly, distributed open loop MIMO, which consists of one source with single antenna, one relay with two antennas and one destination with single antenna. This model is implemented by using D-OSTBC (distributed Alamouti scheme). Finally, distributed closed loop MIMO model, which based on two relays, two antennas in each, and implemented by using D-EO-STBC technique. All these schemes are based on AF relaying protocol and analyzed over flat fading channels. As well, QPSK digital modulation scheme is used for all schemes. MATLAB simulations confirm that the best BER performance is achieved by the distributed closed loop MIMO model based on D-EO-STBC technique.

IEEE 1St- MI-STA2021 25-27/5/2021

Converting Relational Database to Document Oriented NoSQL Cloud Database ID 224 Authors Nisreen Abo-Dabowsa, Abdelsalam Maatuk, Salwa Elakeili and M. Akhtar Ali Abstract— In the Internet of Things (IoT) area, the increase of data leads to the "Big data'' problem. The traditional relational database (RDB) is not being able to deal with processing big data. In contrast, the Not only SQL (NoSQL) database was created to deal with big data problems. Therefore, most organizations need to convert their data stored in RDB systems into NoSQL using flexible models and processes. Most research into the conversion of RDBs into newer database systems has concentrated on schemata transformation, RDB data publishing, whereas other little work focuses on data migration. This paper proposes an automatic approach to convert a database implemented in MySQL database management system into an equivalent database for the target MongoDB system, which is a leading NoSQL database system. This method can handle a large amount of existing data in RDBs without any loss or changes in data semantics and data instances. The solution takes an existing RDB as input, extracts its schema, and then analyzes the schema in an array to be converted with data instances according to the NoSQL target database structure. A system of the proposed approach has been designed. An experimental study was performed to evaluate the proposed approach. The experimental results show that the target database generated by the prototype and the target database generated by other methods were comparable and equivalent.

Automatic Multiple Fan Controller Based on Smoke/Gas Sensitivity for Ventilation System ID 225 Authors Ahmed N. Al-Masri, Salim Mohamed Hebrisha Naveen S. Elangkathir Abstract— This paper presents an analysis of a building automation system (BAS) to control the ventilation fans. The designed model is based on input signals from special smoke sensors to control alternating current axial fans for building ventilation. The circuit design is to be used for multiple fans, hence the number of fans that can be controlled depends on the number of output pins on the microcontroller and controlled area. The circuit is designed using computer-aided design (CAD) software. Furthermore, the distributed control system can control multiple numbers of fans individually and depends on the smoke density in the smoke sensor environmental area. The developed prototype has been successfully tested based on software and hardware development.

IEEE 1St- MI-STA2021 25-27/5/2021

Packet scheduling with carrier aggregation for balancing QoS in LTE advanced Networks ID 227 Authors Heba Zegallai and Salem Awad Abstract— The development of new technologies for wireless cellular networks is always in advancement. As 3GPP LTE has been considered the foundation of mobile broadband, with key considerations of low latency, higher information data rate, and quality of service. Therefore, Quality of Service (QoS) is one of the keys issues for the success of new generation mobile systems. So the evaluating wireless communication system performance has become a critical issue for broadband wireless networks, to ensures QoS for various applications such as VoIP, video and IoT according to 3GPP specifications. In this paper the scheduling mechanisms are considered as the system performance and improve the overall system Quality of Experience (QoE) with uses carrier aggregation technique in resource allocation to increase throughput and comparing this with different scheduling algorithms. The average throughput, delay are the performance metrics that used, and then will be proposed an optimal scheduling scheme that can balance between the performance metric.

Seawater Pumped Hydro Energy Storage in Libya Part I: Location, Design and Calculations ID 228 Authors SALIH . M. ABDALLA, Saad. M. Saad, Naser El Naily and OMAR A . BUKRA Abstract— This paper presents Seawater Pumped Hydro Energy Storage (PHES) in Libya. The study is divided into two parts, the first part discusses the location, design, and calculations. The second part is devoted to the environment and economic feasibility studies to evaluate and analyze the potential of a proposed project to aid decision making. The proposed 600 MW (PHES) project would be sited between Athrun and kersah region, 28 km west of Derna city, and will have a capacity of 4800 MWh, and stores energy from renewables, or excess electricity from continuous sources (gas and steam turbine) to be saved for periods of higher demand and The ability to start generating without an external power source and restart Libya’s power generation after a power failure (Black start capability). Index Terms—Pumped Hydroelectric Energy Storage PHES; General Electricity Company of Libya GECOL; Million Cubic Meter MCM; Fibre Reinforced plastic FRP .

IEEE 1St- MI-STA2021 25-27/5/2021

An Improved Overcurrent-Distance Coordination Strategy to Minimize Cascaded Tripping Problem in Protection of Distribution Systems: A Case Study for The Libyan Distribution System Saad. M. Saad, Haytham Yousef Mustafa, Naser El Naily, A. Alagori , ID 229 Authors M. Kasail and Faisal A. Mohamed Abstract— The mis-coordination problems between Over Current Relays (OCRs) and zones of Distance Relay (DR) in transmission lines are one of the causes of blackouts globally. Mixed coordination strategies between overcurrent and distance protection schemes in distribution systems can overcome such problems and, as a result, it is possible to create more efficient power systems. This study offers practical practice for the coordination of Distance and overcurrent protection scheme by enhancing the setting of overcurrent protection scheme in order to prevent cascade tripping of upward distance relays when threephase faults happen. The unique procedure is also improved for adaptive protection schemes. In order to assist illustrate the feasibility of the scheme proposed, tests on simulation packages (NEPLAN and ETAP) for a part of the electrical network in Benghazi that includes both lines between the garden stations, Salmani and Bougrain are conducted using practical data during different fault scenarios. The outcomes of the simulation validate the effectiveness of the proposed scheme and confirm that the approach proposed works correctly in different scenarios.

Hierarchical Multiscale Local Binary Pattern For Better Osteoporosis Detection ID 230 Authors Meriem mebarkia1, Abdallah Meraoumia, Lotfi Houam and Seddik Khemaissia Abstract— Currently, a number of clinical decision tools have been developed for osteoporosis risk assessment by measuring bone mineral density and/or analyzing bone images. Unfortunately, the great similarity and correlation between healthy and diseased bone images represents the major obstacle in building an effective osteoporosis detection system, making this task a major challenge. The aim of this work is to develop a texture analysis-based osteoporosis detection system. Hierarchical Multiscale Local Binary Pattern (H-MLBP) technique is used in the feature extraction step. Thus, after selecting the dominant features, an emerging classifier, Ensemble Classifiers (EC), is used to classify them. The results obtained using a public database showed the robustness of the feature extraction method used to achieve high precision, which favors it to be effective for building an efficient osteoporosis detection system.

IEEE 1St- MI-STA2021 25-27/5/2021

Real-Time safety: Analyzing coordination time for networked automation systems ID 232 Authors Ahmed Altaher, Hassan Madi and Ashref Khashkusha Abstract— safety is the main concern during electric power fault clearance. The main objective of automation systems, in this circumstance, is to coordinate protection functions to avoid potential risks. These risks may cause both economic and societal losses. The failure of protection coordination could lead to non-clearance of power faults. Besides the long duration of these faults may lead to melted materials and blasts. Hence, faults continuity causes severe consequences. The role of communication network should be therefore evaluated. This paper analyzes contributions of automation system networks during faults clearance. To validate network design in safety applications, protection, automation and coordination must respect time-critical constraints. Results prove that faults of communication network and inappropriate configuration can cause delayed arc-flash clearance.

High Confidence Clinical Posture Classification and Non-Clinical Posture Detection ID 233 Authors Eman Elsharif, Nabil Drawil, Zied Etleb and Abdel-Nisar Mooman Abstract— Pressure injuries are a major driver of increased morbidity and healthcare costs globally. A growing problem with an increasing aging population. Prevention requires extensive surveillance and adherence to frequent pressure offloading of atrisk patients. In this research, we explore a range of techniques to provide high reliability results for posture detection irrespective of quality of images. The foundational neural networks of this research is a range of low resource neural network classifiers, up to three layers deep. We then combine the neural networks to improve performance through the use majority rules and max confidence rule. Based on the shortcomings of the previous techniques we explore a more robust technique for novelty detection of image outside the known clinical posture training set. Done using a neural network leveraging the soft max values of the posture classification neural networks to detect images as novel classes to enable accurate tracking of patient mobility.

IEEE 1St- MI-STA2021 25-27/5/2021

Evaluating the Performance of Different PV Modules Technology Due to Dust Accumulation in Tripoli Region ID 234 Authors Eman M. Gnedi and Ibrahim M. Saleh Abstract— The dust accumulated on the surface of the photovoltaic PV module affects its efficiency, which leads to a significant decrease in the output power and blocks part of the radiation falling on the cell. In this study, the performance of photovoltaic module and the effect of dust deposition on them were evaluated in the climatic conditions of Tripoli area. The experiment was conducted in an outdoor environment where six modules of three different technologies monocrystaline, polycrystalline and amorphous each two identical modules of model type . These modules are installed at tilt angle of 45° facing south. One module was left unclean, and the other was cleaned each time before measurement for comparison. The output power and temperature of each module, as well as the radiation, were measured by a photovoltaic peak power measuring (PVPM) (1000C40) device. The results indicate that dust deposition has effect on short circuit current greater than on open circuit voltage. The maximum output power loss on the different PV modules was determined to be 10.74%, 10.95%, and 13.72% for poly, mono, and amorphous module, respectively. Therefore, it was observed that amorphous module exposed higher losses of output power compared to other two technologies tested.

Performance Analysis of Residential PV Systems in Tripoli ID 235 Authors Ekram Omar Aljadidi, Imad Sharfeddin and Muad Miloud Mhani Abstract— The main objective of this study is to discuss the performance of residential photovoltaic systems in Tripoli, Libya, by the analysis of the operational data of three systems with different specifications and circumstances. The consumption behavior of these three households is discussed in order to determine the peaks and averages of consumption and generation during different months. Moreover, the independency from the grid of these systems is discussed for different months with direct consumption and battery discharging patterns to determine the self-consumption rates

IEEE 1St- MI-STA2021 25-27/5/2021

Modeling and Control of Two Wheels Robot using Linear Quadratic Regulators ID 236 Authors Othman Aburas, Youssef Arebi, Atif Alnkeeb Abstract— Robots play high role in industrial and healthcare systems. Two-wheeles selfbalancing robots are based on inverted pendulum systems. In this paper, a two-wheeled selfbalancing robot is built, modeled, and controlled. The robot uses an Arduino Uno board communicates with an Inertial Measurements Unit to get gyroscope and linear acceleration measurements. The tilt angle of the robot is calculated by fusing the angular velocity and the acceleration readings. The robot moves by controlling two DC motors with gearboxes using PWM signals. To use a Linear Quadratic Regulator, a linear model should be used to calculate its gain matrix. A second order linear model is obtained with the use of MATLAB’s identification toolbox. The robot was initially controlled by using a PID controller tuned using trial and error method. The data used for identification were then obtained wirelessly using a Bluetooth module. The linear model showed a good prediction response when tested using another set of data. Finally, a number of LQR gains were computed and applied to the real system. The computed LQR gains showed different responses and were categorized into three cases. In which one category showed a very good response, one showed jittery response and one performed badly.

Modeling a Third Order Noninteracting Liquid Level Tank System Empirically and Theoretically Ausama H. Ahmed, Otman Tawerghi, Nouralddeen A. Meelad ID 237 Authors and Alhasan A. Abu-Raas Abstract— This paper aims at extracting mathematical models for a noninteracting third order liquid level tank system using 3 modeling methods, namely first principles, process reaction curve and MATLAB System Identification tool. The models will then be validated against real process data and used to design PI controllers for each model based on Ziegler Nichols open loop method. PI controller is implemented on Siemens S7- 200 CPU 224 PLC and used to manipulate process flow rate via a PWM pump so as to control height of liquid in lower tank. The results show that the model extracted by MATLAB system ID performed better than the others and PI controller based on reaction curve method resulted in more oscillatory response

IEEE 1St- MI-STA2021 25-27/5/2021

Fuzzy logic Controller Based MPPT for a Photovoltaic System

ID 239 Authors Guiza Dhaouadi, Ounnas Djamel , Soufi Youcef and Abdelmalek BOUDEN Abstract— The performance of photovoltaic (PV) generator is investigated in this research given its importance as part of the smart grid structure, where the tracking of the maximum power is essential to raise the efficiency of the PV system and it is possible by many methods to control which is known as MPPT (Maximum Power Point Tracking. The main drawback of these methods is their misinterpretation of MPP (Maximum Power Point) location during a sudden change in climatic conditions, and also have oscillations around the PPM. The goal of this work is to improve the PV system efficiency by using a Fuzzy Logic Controller (FLC) under the change of climatic conditions. Simulation results demonstrate that the PV system can be controlled perfectly by an FLC controller-based MPPT and has a better performance compared to the conventional algorithms.

Controller Design for an Off-Grid Photovoltaic Inverter ID 242 Authors Abdulsalam Ali Alrimali, Akrem Mohamed Aljehaimi and Abdallah Suliman Hussein Abstract— One of the key components in photovoltaic (PV) electrical systems is the inverter. It is the unit that converters the DC power generated from the solar panels or the batteries to an AC power that can supply the electrical home appliances. The issues associated with the inverter are power quality and harmonics. This paper introduces a controller design for a single-phase full bridge inverter for an off-grid PV electrical system which supplies a typical home or an office. For a pure sinewave inverter, a sinewave pulse-width modulation (SPWM) scheme is used. This puts the switching harmonics far away from the fundamental 50Hz component, which eases the filtering process by a simple low pass filter (LPF). As a result, a sinusoidal AC voltage waveform is obtained. Then, a step-up voltage transformer is used to step up the voltage to 220V. As the AC load increases, the drop voltage on the LPF and the transformer primary increases significantly. This causes the secondary voltage of the transformer to drop drastically bellow 220V. To solve this issue, a cascaded voltage and current control loops are designed to control the transformer primary voltage at exactly 12V so that the secondary voltage is held always at 220V. The inverter circuit with the closed-loop control is simulated fully using Power Simulation (PSIM) software. Then, the inverter circuit is built and tested experimentally in the laboratory using only the open-loop control, and this is due to the lake of LEM voltage and current sensors in the university laboratory.

IEEE 1St- MI-STA2021 25-27/5/2021

Strategies towards the Implementation of Blended Learning in Engineering Education ID 246 Authors Osama Terfas, Nadia Nuseir and Ahmed Maher Abstract— Blended learning is widely adopted as an effective approach to develop the traditional teaching style, and to fulfill the satisfaction of learners, students, and institutions. Therefore, this paper discusses the effectiveness of blended learning with learning management systems (LMS) implications in higher engineering education. Blended learning concepts, components, and challenges are discussed, as well as strategies of implementation are introduced.

Simulation of Stepper Motor Motion and Control

ID 254 Authors Alejeli Alhengari and Abdelbaset Elhangari Abstract— The main objective of this theoretical framework is verifying the theory of work of stepper motors and applying open-loop control on its rotor angular position. There several types of stepper motor, but we will consider in this study the bipolar hybrid stepper motor. This type of motors is categorized under DC motors since it is main source of its power to produce the required torque. However, it is not directly drawn by motor’s coils. For right operation, its coils need to energized reciprocally. Therefore, dual H-bridge with electronic switches (MOSFET) are connected by the DC source directly to achieve power distribution to the motor coils. According to received control signals, The H-bridge can interchange bidirectionally the supplied power between the motor’s independent coils. The control signals are merely considered the firing angle signals of the H-bridge switches. These signal are generated from a motor dedicated drive which is considered a microcontroller with pulse width modulation (PWM). Usually, PWM is used to control speed of motors; however, in this work it usage will be restricted for providing fixed width modulation signals for the H-bridge and leads to fixed speed. The reason behind that is stepper motors are often used in position control applications as mention above. Consequently, the control strategy is how and when applying logical conditions on these signals. such as determining angle of operation, or providing a certain periodic position profile. The control strategy is an open-loop control because we know in advance the number of motor steps for a complete revolution and no need for applying close-loop control and attain more complex approach. The framework order sequence is as follows, derivation of the mathematical model for the motor itself and then the derive and H-bridge are modeled in MatLab simulink library. The logical control conditions after that will be examined. Last, we will present the simulation and the obtained results.

IEEE 1St- MI-STA2021 25-27/5/2021

NORMAL HUMAN GAIT ANALYSIS OF RIGHT LOWER LIMB DURING COMPLETE CYCLE USING SUB-PARAMETRIC FITTING FUNCTIONS ID 261 Authors Neffati Werfalli and Tawfeeq Aljali Abstract— Sub-parametric functions for fitting the normal human gait parameters, of the right lower limb, during complete cycle was developed in this paper. The dynamic model was derived based on LaGrangian dynamics, and the analysis is restricted only to sagittal plane of the right lower limb. The lower limb is simulated as a three link robotic manipulator that represent thigh, shank and foot. The variation of hip, knee, and ankle angles resembles the trend of those provided in a work cited in the literature, and the inverse kinematics of the three joints are satisfied. The foot is simulated as thirty sixty- degree triangle, however it is considered rigid and the angle the chord makes with the ground is considered to be the foot angle. The trajectories of the individual joints are segmented in order to facilitate their data fitting. The common methods cannot provide simultaneous fitting and continuity of variables and their first and second derivatives across the segments. The partitioned control law is implemented in order to handle the complexity of multi-variable system where gains are determined as if Controlling a unit mass system

HidSave: An Image Steganography Technique based on SudoKu Method for Smartphones ID 262 Authors Mohamamd Z. Masoud, Yousef Jaradat, Ahmad Manasrah, Ismael Jannoud and Amer Zerek Abstract— In Internet of things (IoT) era, every device in the world is generating and uploading data. These data has to reach end devices for analysis, analytics and visualization. Smartphones are part of IoT era where they can generate and manipulate data. However, the processing power and the storage capacity is limited for this devices to reduce their sizes and their power usage. However, the data generated from these devices have to be secured before transmitted to other end point. In this work, a new steganography image data hiding is proposed, named HidSave. The algorithm is proposed to increase the privacy of the data in one hand and to reduce the storage capacity of the data on the other hand. HidSave adopts SudoKu game in embedding the data in the cover images. HidSave has been implemented and compared to lest significant bit (LSB) and turtle shell hiding algorithm. HidSave has higher embedding capacity and higher PSNR.

IEEE 1St- MI-STA2021 25-27/5/2021

Popularity of Current Technology Trends in Arab Countries ID 263 Authors Yousef Jaradat, Mohammad Masoud, Ismael Jannoud, Ahmad Manasrah and Amer Zerek Abstract— This paper provides an overview of the popularity of some state-of-the-art technology trends in Arab countries. Technology trends include artificial intelligence, internet of things, 5G mobile networks, edge computing, quantum computing, and blockchain. The study is done utilizing Google trends search data for these technologies over a period of five years. Data are gathered as time series. The study shows that most of the current technology trends are not popular in most of the Arab countries which leads to a technological gap with the rest of the world. The United Arab Emirates shows that the current technology trends are popular among their people compared to other Arab countries.

Non-contact method using laser scanning system to study some physics applications ID 264 Authors Mohamed Badri, Ramadan Said, Nadia Alrobah and Abdulbaset Abuazza Abstract— In this paper, a two-dimensional laser scanning system was designed and built at University of Tripoli with an accuracy of 0.480 mm. A helium-neon laser source with output power of 1 mW was used, with incidence angle of 45˚. The signal was received by a photodetector (phototransistor) with response of 400 nm→1130 nm. An electronic circuit used to convert the electrical signal into a digital signal. It is connected to a PC computer programed using C language. The resulting signals are printed, drawn, or stored in a special file. The stored data may be processed later. This system used in several physics applications such as scanning multi reflections of a plane mirrors and glass molds, a comparison between practical and theoretical reflectivity of Transverse Electric Mode of glass and Malus’ Law. The system was very efficient, very fast data collection and transfer as a non – contact method.

IEEE 1St- MI-STA2021 25-27/5/2021

Libyan Instructors' Perceptions of Integrating Canvas LMS in Libyan higher Education Institutions ID 265 Authors Ahmed Maher and Nadia Nuseir Abstract— Canvas is a software platform that belongs to the Learning Management System (LMS) and used to enable instructors, administrators and students to manage knowledge, share information and collaborate by implementing appropriate pedagogical approach. Integrating online Learning LMS tools in the Libyan higher education institutions has been one of the concerns in past years especially during the recent Coronavirus disease 2019 (COVID- 19 pandemic). Some studies were held in Libya recently to investigate the new means and strategies implemented by schools and higher education institutions of online education and e-learning resources. This study utilized qualitative methods to investigate the perceptions of Libyan instructors regarding integrating Canvas LMS in the higher education institutions, based on their own online learning experience from a professional development course on Canvas, to which they are all enrolled. Online questionnaire utilizing Google form Application was conducted with 82 Libyan instructors who responded for the study. The collected data was analyzed and the results of the study showed that ease of use and usefulness contribute to the instructors' intention and attitudes toward the use of Canvas LMS. The findings can be used by educational institutions to understand instructors’ perceptions regarding Canvas LMS, and ultimately improve e-learning and instructional practices. The study recommended that the higher education institutions should use Canvas LMS being easy, and useful for both students and teachers.

IEEE 1St- MI-STA2021 25-27/5/2021

Assessing Growth and Instability of Open Source Software Systems

ID 266 Authors Ali Mresa and Abdussalam Baryun Abstract— software systems progressively evolve over time where source code needs to be modified, newly are added and others need to be deleted. Therefore, it is worth to monitor progress and software development, to measure growth and assess system stability. This paper assesses OSS software growth and instability to clarify impacts of its instability on its system growth. Three open source software applications, with different characteristics, have been selected. Size and instability metrics are extracted and statistically analyzed in order to assess the reflections of software growth under instability behaviors. The correlation among size metrics are highly correlated – the highest and lowest correlation are 0.99 and 0.72 respectively. Moreover, the result shows the highest correlation is between total classes and total lines of code. The instability measures on software systems exhibits certain pattern characterized by more addition and modification than deletion at system design level and the implementation changes exhibits more addition than modification and deletion. although the characteristics of the open source applications are different than the closed-source, the Lehman's observations are still valid with regard to continuous growth and trends.

Performances of a photovoltaic grid connected systems

ID 267 Authors Salima Lekhchine and Tahar Bahi Abstract— The work presents details modelling and simulation of a 100 Kw solar panel connected to a 25 Kv electrical network. The both are connected through a boost converter and a three-phase three voltage levels inverter. The technique of incremental inductance provides control of the chopper in order to extract the maximum power developed by the panel and in addition a pulse width modulation controls the inverter. At the end of the modeling and the simulation of the whole in the MatLab/Simulink environment, the analysis of the results shows the good performances.

IEEE 1St- MI-STA2021 25-27/5/2021

Genetic Algorithm for Image Recognition in Smart Systems Applications ID 269 Authors Ismael Jannoud, Mohammad Masoud, Yousef Jaradat and Amer Zerek Abstract— Image recognition in smart systems and internet of things applications is rapidly developing. Significant advances in mobile computing technology and machine learning are expanding horizons to use image recognition in smart systems and IoT applications. This paper use the smart system based image matching system utilizing genetic algorithm to design an integrated service to improve the management of image recognition. An efficient genetic algorithm used to match an unknown pattern which represents a partial image with original image. This technique uses a parameter, namely, chromosome. It transformed the spatial coordinates position into a sequence of bits of small length depending on the dimension of the original image, whereby the matching will be obtained in a short time. The system was tested on a sample images showed high matching rate (97%).

Using WACS Algorithm based on Center of Angle (COA) Technique in Assessing the Stability of the Libyan Grid ID 274 Authors Khaled A. Aljarrai and Hamid H. Sherwali Abstract— Power system Stability is one of the major concerns for operators of Libya grid. In the past few years, post 2011, i.e. year 2012 and on; load continued to grow by increments of 5%. Also the unexpected damage and lack of maintenance to the power stations and transmission lines added an extra pressure over the network that made the challenges even more difficult. These challenges forced the General Electricity Company of Libya (GECOL) to look for unconventional ways to assess the stability of the Libyan electric grid, and to have better way of analyzing the existing network; bearing in mind that the dynamic model needs more efforts to be validated continuously. WACS, Wide area control system Algorithm using Phase Angles that was introduced by Carson W. Taylor in May 2005 [8] is one of the novel techniques to assess the stability of the electrical system. Taylor suggests that the real-time values measured directly from the network, based on Phasor Measurement Units (PMU). In This method, the voltage phase angle is used to calculate center of angle (COA), this is similar to the Center of Inertia (COI) with some modifications to suit real time applications.This paper will include the implementation of the aforementioned technique, in the Kundur’s Two-Area System and then in the Libyan grid to find limits of stability and threshold values, and to determine the time for remedial action. The presence of IDM (Fault recorder) in Libyan grid encourages the use of this method. The main objective of this paper is to identify the benefits of using this method in determining the Libyan network stability in real time.

IEEE 1St- MI-STA2021 25-27/5/2021

The Impact of Connecting Large Scale Wind Farms to The Eastern Libyan Grid ID 275 Authors Mohamed Sherwali and Abdunasser Shamekh Abstract— The national plan of Libya aims to reduce the use of traditional energy sources and increase the renewable energy penetration rate to the energy mix in order to settle the renewable energy in the country. One of these projects are Maqroon and Derna wind farms. Maqroon is an area in east Libya near Benghazi city, where the wind speed has proven excellent. The Maqroon project aimed to connect 240 MW while Derna is the second large city in east Libya and the country plan is to implement 120MW wind project. However, these ambitious projects are considered one of the main steps toward strategic plan for renewable energy to reach 15% renewables energy mix by the end of 2030 [1] This paper presents and discusses the results of the impact of connecting large scale wind farm to the eastern Libyan network using NEPLAN software. The study considered the impact of proposed projects in 2030 according the national plan. The study includes different operating scenarios in which the voltage of the all-sub- stations, loading of the lines and transformers are checked, short circuit level in different bus-bars is inspected and the contribution of all power stations is readjusted, also the harmonics impact will be examined in case of increasing wind energy penetration on the eastern power grid.

Multi-Frequency Electrical Impedance Tomography: Complex Sensitivity Matrix Performability Evaluation for Image Reconstruction ID 276 Authors Amani Soliman and Abulgasim Shallof Abstract— Electrical Impedance Tomography (EIT) is a noninvasive medical technique for imaging the conductivity distribution of body section. In multi-frequency EIT many factors affect the image reconstruction results. Among them are number of electrodes, the values of the complex of the sensitivity matrix. In this paper an appropriate complex sensitivity matrix is shown, performability of the matrix is evaluated and image reconstruct is given.

IEEE 1St- MI-STA2021 25-27/5/2021

Sensor less Speed Control of Synchronous Reluctance Motors Using Model Predictive control associated with Model Reference Adaptive System ID 278 Authors Gati Miloud, Serhoud Hicham and Bekakra Youcef Abstract— This paper presents a predictive strategy and Model Reference Adaptive System (MRAS) technique for controlling the synchronous reluctance motor (SynRM). A number of sensorless control methods have been developed such as extended Kalman filter (EKF), high-frequency signal injection methods and extended electromotive force (EEMF) models considering magnetic saturation. The aim of our approach is to estimate the rotor speed by the MRAS estimator and then submit this estimate to the Model predictive control. Thus, to obtain a predictive control, the most idea is to extract the variables to be controlled from the model of the machine to calculate their next behavior and to choose the best optimization criterion. In order to feed the predictive control model and reach the optimal speed, it is necessary to subject it to the model reference adaptive system, which employs the state observer model with current error feedback and the rotor current model as two models for current estimation. Thus, to extract the estimated speed, the difference between the outputs of the state observer model and the rotor current model is used to obtain a zero error.

Open University Education: Opportunities and Challenges

ID LOU1 Authors Dr. N. Boshandy, Dr . Z. Bogrenat

Abstract —the paper sheds light on open university education as one of the most significant teaching and learning innovations that has been introduced to higher education, enabling disadvantaged students to access education at university level. The paper provides an overview and representative information that helps in raising awareness about such an educational system. It offers a brief historical background of this system of education delivery. In addition, the paper accounts for the reasons why such an educational system emerged. It also discusses the aims of this educational system and the opportunities for professional development that it creates for learners. However, like any other mode of teaching and learning, open education encounters a number of challenges.

IEEE 1St- MI-STA2021 25-27/5/2021

The Open University of Libya, Reality and Prospects

ID LOU2a Authors Dr. E. Ghlam

Abstract —the global challenges imposed on societies, the necessity to search for new educational systems, especially at the higher and university level. All these and others forced the decision makers to adopt a policy of continuous education and continuous development of performance, specifically those who update and renew the educational process, which forced the adoption of distance education. This was one of the justifications for the establishment of the Open University in Libya, as the Ministry of Higher Education and Scientific Research (formerly General People's Committee No. (670) for the year 1987 AD was issued to undertake the task of providing education of all kinds, providing technical and vocational training. This paper presents the current reality of the Libyan Open University and its vision, message and goals. It gives also an over view of scientific departments and the educational centers of the university, registration, study and exams system in university. The current situation of educational media practiced at this time is presented.

The Libyan open university and its enroll applied education

ID LOU2b Authors Dr. M. Bakush Abstract —most of the international studies recently indicate that distance education will play a major role in changing teaching methods in university education. Consequently, many international universities have introduced and adopted many distance learning programs in different areas of education. Based on the Libyan Open University interest in developing its programs and expanding its fields of study, such as human and applied sciences (engineering - medicine – computer). Due to utmost importance of applied education at the global level, Its link to vital areas and to economic and health development projects, As well as the availability and diversity of modern educational means necessary, which will contribute to the spread of such sciences side . on the other hand, flexibility of open applied education will providing the opportunity for diversity in offering different academic programs, provides the opportunity for all segments of society to engage in meeting the requirements of the labor market. Therefore, this paper will focus on the important of study the applied sciences education in Libyan Open University in both undergraduate and graduate levels.

IEEE 1St- MI-STA2021 25-27/5/2021

Applications for Technical Media in Open Education

ID LOU3 Authors Dr. M. Ghabar, Dr. N. Nseer, Dr. A. Maher. Abstract —open and distance education has become more dependent on information and communication technology than before, and open universities of different places are trying seriously to take advantages of various media and technologies for distance education. These universities have adopted an educational system based on a mixture of print and non-print media. Especially the modern open universities have made technical means an essential means to benefit from information technologies greatly in knowledge transfer and distance education to accommodate large numbers of students of all ages and circumstances. This paper presents a summary about the educational technical media and its historical development and the advantages of recent development in computer and communication technologies. It also exposes to the characteristics and applications, on which open education depends by publishing its distance education programs. The paper considers the importance of the media planning and the principles of good teaching . A model of planning process is suggested , by taking the learning tasks for media applications , that summarizes a set of the important steps needed.Also the paper gives the concept of multimedia and the its main features, showing the development in the systems' applications for multiple technical media and how to make the best use of it.

Virtual Labs Application in Open Education ID LOU4 Authors Dr. O. Aboukhder, Dr. M. Rammah, Dr. M. Ghabar Abstract —this paper discusses Virtual Labs and their impact on Open Education. Schools of Engineering and Science at traditional universities require from students to take courses of laboratory measurements which entails conducting experiments and obtaining results through the use of various measuring and test equipment and apparatus located in the laboratory. In open education universities, students performing experiments in a face - to - face Lab is not always possible. The alternative solution for this is through the use of Virtual Labs Applications. In these applications, the various experiments are simulated in a real-time manner to create a virtual real-world Laboratory. This paper discusses Virtual Labs and their impact on Open Education.