Glossary of the Key Notions in Bionics and Beyond

Total Page:16

File Type:pdf, Size:1020Kb

Glossary of the Key Notions in Bionics and Beyond Glossary of the key notions in Bionics and beyond Created by XMLmind XSL-FO Converter. Glossary of the key notions in Bionics and beyond Publication date PPKE ITK, Budapest, 2011 Copyright © 2011 Pázmány Péter Catholic University Created by XMLmind XSL-FO Converter. Table of Contents A. Glossary of the key notions in Bionics and beyond ....................................................................... 1 Preface ................................................................................................................................................ ii 1. Resources ........................................................................................................................................ 4 2. Glossary .......................................................................................................................................... 5 1. 1 ............................................................................................................................................ 5 2. 2 ............................................................................................................................................ 5 3. 6 ............................................................................................................................................ 5 4. A ............................................................................................................................................ 5 5. B .......................................................................................................................................... 16 6. C .......................................................................................................................................... 22 7. D .......................................................................................................................................... 37 8. E .......................................................................................................................................... 45 9. F .......................................................................................................................................... 54 10. G ........................................................................................................................................ 60 11. H ........................................................................................................................................ 64 12. I ......................................................................................................................................... 69 13. J ......................................................................................................................................... 77 14. K ........................................................................................................................................ 77 15. L ........................................................................................................................................ 79 16. M ....................................................................................................................................... 85 17. N ........................................................................................................................................ 95 18. O ........................................................................................................................................ 99 19. P ...................................................................................................................................... 103 20. Q ...................................................................................................................................... 117 21. R ...................................................................................................................................... 118 22. S ...................................................................................................................................... 126 23. T ...................................................................................................................................... 143 24. U ...................................................................................................................................... 151 25. V ...................................................................................................................................... 153 26. W ..................................................................................................................................... 155 27. X ...................................................................................................................................... 158 28. Y ...................................................................................................................................... 158 29. Z ...................................................................................................................................... 158 30. α ...................................................................................................................................... 159 31. β ...................................................................................................................................... 159 iii Created by XMLmind XSL-FO Converter. List of Tables 1. List of Subjects ............................................................................................................................... ii iv Created by XMLmind XSL-FO Converter. Appendix A. Glossary of the key notions in Bionics and beyond ISBN: 978-963-308-053-5 Copyright © 2011 Pázmány Péter Catholic University, PPKE ITK, Budapest, 2011 Glossary – Resources Developed in the Project COMPLEX DEVELOPMENT OF TEACHING MATERIALS FOR MOLECULAR BIONICS BSC AND INFOBIONICS MSC COURSES WITHIN CONSORTIUM Consortium leader: Pázmány Péter Catholic University, Faculty of Information Technology, www.itk.ppke.hu Members: Semmelweis University NORDEX Cultural and Trading Ltd. Press: PPKE ITK, Budapest 2011 Contributing editor: Ágnes Bércesné Novák Edited by: Balázs Balogh, András Budinszky, György Cserey, Ildikó Csurgayné, Árpád Csurgay, Péter Földesy, Tamás Freund, Dániel Györffy, György Karmos, Kristóf Iván, Szabolcs Káli, Imre Kalló, József Laczkó, János Levendovszky, Zsolt Liposits, Péter Mátyus, András Oláh, Sándor Pongor, Zoltán Vidnyánszky, Péter Závodszky Compiled by: Balázs Balogh, András Budinszky, Éva Bankó, Dóra Bihary, Bence Borbély, László Csanády, György Cserey, Richárd Csercsa, Ildikó Csurgayné, Balázs Dombóvári, György Erőss, Richárd Fiáth, Péter Földesy, Tamás Freund, Viktor Gál, Péter Gál, Zoltán Gáspári, Zsolt Gelencsér, Miklós Gyöngy, Dániel Györffy, Domonkos Horváth, Imre Kalló, Szabolcs Káli, Kristóf Iván, György Karmos, Péter Katona, Péter Kerekes, István Kóbor, Kraszimir Kolev, Lajos R. Kozák, Gábor Krajsovszky, Ákos Kusnyerik, József Laczkó, Zsolt Liposits, Raymund Machovich, Péter Mátyus, Tamás Molnár, András Oláh, Sándor Pongor, Róbert Tibold, Attila Tihanyi, Dávid Tisza, Kálmán Tornai, Gergely Treplán, László Tretter, István Ulbert, Zoltán Vidnyánszky, Péter Závodszky Expert Proofreaders: Endre Barta, Péter Fürjesi, László Füstöss, Sándor György, Erik Hrabovszky, Gyula Kovács, Lóránt Kovács, János Makó, András Poppe, András Szilágyi, Balázs Ujfalussy, András Varró, Lucia Wittner, Géza Zboray English Language Proofreader: Márton Péri 1 Created by XMLmind XSL-FO Converter. Preface The Faculty of Information Technology (PPCU FIT) of Pázmány Péter Catholic University, together with Semmelweis University (SU) were the first universities in Hungary to launch the Molecular Bionics BSc in the year 2008. From February 2012 on the new infobionics MSc is going to be launched, which is probably the first in the world with these curricula and profile. The TÁMOP-4.1.208/2/A/KMR-2009-006* grant in years 2010–2011 made it possible to standardize the professional content of the molecular bionics and infobionics courses, and to develop the teaching material in a fairly detailed way. These materials are written in English and published on the World Wide Web, so they are available free of charge to all interested parties – in order to make the learning process of these new disciplines easier. The work, led by the leading professors of the two universities, resulted in the preparation of the teaching materials of seventeen courses in English, having at least 12 slide presentations for each. More than 12,000 slides organized in lectures have already been placed in the World Wide Web. All the completed learning materials written by almost 50 widely known and respected researchers and professors are listed in Table 1. Table 1. List of Subjects E-books URL Bio-, and environmental ethics http:// Glossary of mean notions of Bionics and beyond http:// Slide presentations and glossaries http:// Ad hoc sensor networks http:// Basics to neurobiology http:// Biomedical imaging http:// Digital- and neural based signal processing http:// and kiloprocessor arrays Electrical measurements http:// Electrophysiological methods for the study of the http:// nervous- and muscular system Introduction to bioinformatics http:// Introduction to biophysics http:// Introduction to functional neurobiology and additional http:// animation Modeling neurons and networks http:// Neural interfaces and prostheses http:// Neuromorph movement control http:// Organic- and biochemistry http:// Physics
Recommended publications
  • A Hybrid Energy Cell for Self-Powered Water Splitting†
    Energy & Environmental Science View Article Online COMMUNICATION View Journal | View Issue A hybrid energy cell for self-powered water splitting† a a a a a a Cite this: Energy Environ. Sci., 2013, 6, Ya Yang, Hulin Zhang, Zong-Hong Lin, Yan Liu, Jun Chen, Ziyin Lin, a a ab 2429 Yu Sheng Zhou, Ching Ping Wong and Zhong Lin Wang* Received 30th April 2013 Accepted 30th May 2013 DOI: 10.1039/c3ee41485j www.rsc.org/ees Production of hydrogen (H2) by splitting water using the electrolysis effect is a potential source of clean and renewable energy. However, Broader context it usually requires an external power source to drive the oxidation or We fabricated a hybrid energy cell that consists of a triboelectric nano- reduction reactions of H2O molecules, which largely limits the generator, a thermoelectric cell, and a solar cell, which can be used to development of this technology. Here, we fabricated a hybrid energy simultaneously or individually harvest the mechanical, thermal, and solar cell that is an integration of a triboelectric nanogenerator, a ther- energies. Instead of using an external power source, the hybrid energy cell can be directly used for self-powered water splitting to generate hydrogen. moelectric cell, and a solar cell, which can be used to simultaneously/ The volume of the produced H2 has a linear relationship with the splitting À À individually harvest mechanical, thermal, and/or solar energies. The time at a production speed of 4 Â 10 4 mL s 1. Moreover, the produced power output of the hybrid energy cell can be directly used for energies can be stored in a Li-ion battery for water splitting and other uses.
    [Show full text]
  • Neuroprosthetic Interfaces – the Reality Behind Bionics and Cyborgs
    1. Korrektur/PDF - Mentis - Schleidgen - Human Nature / Rhema 23.12.10 / Seite: 163 Gerald E. Loeb NEUROPROSTHETIC INTERFACES – THE REALITY BEHIND BIONICS AND CYBORGS History and Definitions The invisible and seemingly magical powers of electricity were employed as early as the ancient Greeks and Romans, who used shocks from electric fish to treat pain. More technological forms of electricity became a favorite of quack medical practitioners in the Victorian era (McNeal, 1977), an unfortunate tradition that persists to this day. In the 20th century the elucidation of neural signaling and the orderly design of electrophysiological instrumentation provided a theoretical foundation for the real therapeutic advances discussed herein (Hambrecht, 1992). Nevertheless, neural prosthetics continues to be haunted by projects that fall along the spectrum from blind empiricism to outright fraud. That problem has been exacerbated by two historical circumstances. The first was the rejection by »rigorous scientists« of early attempts at clinical treatment that then turned out much better than they had predicted (Sterling et al., 1971). This tended to encourage the empiricists to ignore the science even when it was helpful or necessary. The second was the inevitable fictionalization by the entertainment industry, which invented and adopted terminology and projects in ways that the lay public often did not distinguish from reality. The terms defined below are increasingly encountered in both scientific and lay discussions. I have selected the usages most relevant to this discussion; other usages occur: – Neural Control – The use of electronic interfaces with the nervous system both to study normal function and to repair dysfunction (as used by Dr.
    [Show full text]
  • High Performance Triboelectric Nanogenerator and Its Applications
    HIGH PERFORMANCE TRIBOELECTRIC NANOGENERATOR AND ITS APPLICATIONS A Dissertation Presented to The Academic Faculty by Changsheng Wu In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY in the SCHOOL OF MATERIALS SCIENCE AND ENGINEERING Georgia Institute of Technology AUGUST 2019 COPYRIGHT © 2019 BY CHANGSHENG WU HIGH PERFORMANCE TRIBOELECTRIC NANOGENERATOR AND ITS APPLICATIONS Approved by: Dr. Zhong Lin Wang, Advisor Dr. C. P. Wong School of Materials Science and School of Materials Science and Engineering Engineering Georgia Institute of Technology Georgia Institute of Technology Dr. Meilin Liu Dr. Younan Xia School of Materials Science and Department of Biomedical Engineering Engineering Georgia Institute of Technology Georgia Institute of Technology Dr. David L. McDowell School of Materials Science and Engineering Georgia Institute of Technology Date Approved: [April 25, 2019] To my family and friends ACKNOWLEDGEMENTS Firstly, I would like to express my sincere gratidue to my advisor Prof. Zhong Lin Wang for his continuous support and invaluable guidance in my research. As an exceptional researcher, he is my role model for his thorough knowledge in physics and nanotechnology, indefatigable diligence, and overwhelming passion for scientific innovation. It is my great fortune and honor in having him as my advisor and learning from him in the past four years. I would also like to thank the rest of my committee members, Prof. Liu, Prof. McDowell, Prof. Wong, and Prof. Xia for their insightful advice on my doctoral research and dissertation. My sincere thanks also go to my fellow lab mates for their strong support and help. In particular, I would not be able to start my research so smoothly without the mentorship of Dr.
    [Show full text]
  • Application of Artificial Intelligence (AI) in Prosthetic and Orthotic Rehabilitation Smita Nayak and Rajesh Kumar Das
    Chapter Application of Artificial Intelligence (AI) in Prosthetic and Orthotic Rehabilitation Smita Nayak and Rajesh Kumar Das Abstract Technological integration of Artificial Intelligence (AI) and machine learning in the Prosthetic and Orthotic industry and in the field of assistive technology has become boon for the Persons with Disabilities. The concept of neural network has been used by the leading manufacturers of rehabilitation aids for simulating various anatomical and biomechanical functions of the lost parts of the human body. The involvement of human interaction with various agents’ i.e. electronic circuitry, software, robotics, etc. has made a revolutionary impact in the rehabilita- tion field to develop devices like Bionic leg, mind or thought control prosthesis and exoskeletons. Application of Artificial Intelligence and robotics technology has a huge impact in achieving independent mobility and enhances the quality of life in Persons with Disabilities (PwDs). Keywords: artificial neural network, deep learning, brain computer Interface (BCI), electromyography (EMG), electroencephalogram (EEG) 1. Introduction Human is the most intelligent creature in the planet for their brain power and neural network. The human brain is extremely complex with more than 80 billion neurons and trillion of connections [1]. Simulation scales can array from molecular and genetic expressions to compartment models of subcellular volumes and individual neurons to local networks and system models [2]. Deep Neural Network nodes are an over simplification of how brain synapses work. Signal transmission in the brain is dominated by chemical synapses, which release chemical substances and neurotrans- mitters to convert electrical signals via voltage-gated ion channels at the presynaptic cleft into post-synaptic activity.
    [Show full text]
  • Triboelectric Nanogenerators for Energy Harvesting in Ocean: a Review on Application and Hybridization
    energies Review Triboelectric Nanogenerators for Energy Harvesting in Ocean: A Review on Application and Hybridization Ali Matin Nazar 1, King-James Idala Egbe 1 , Azam Abdollahi 2 and Mohammad Amin Hariri-Ardebili 3,4,* 1 Institute of Port, Coastal and Offshore Engineering, Ocean College, Zhejiang University, Zhoushan 316021, China; [email protected] (A.M.N.); [email protected] (K.-J.I.E.) 2 Department of Civil Engineering, University of Sistan and Baluchestan, Zahedan 45845, Iran; [email protected] 3 Department of Civil Environmental and Architectural Engineering, University of Colorado, Boulder, CO 80309, USA 4 College of Computer, Mathematical and Natural Sciences, University of Maryland, College Park, MD 20742, USA * Correspondence: [email protected]; Tel.: +1-303-990-2451 Abstract: With recent advancements in technology, energy storage for gadgets and sensors has become a challenging task. Among several alternatives, the triboelectric nanogenerators (TENG) have been recognized as one of the most reliable methods to cure conventional battery innovation’s inadequacies. A TENG transfers mechanical energy from the surrounding environment into power. Natural energy resources can empower TENGs to create a clean and conveyed energy network, which can finally facilitate the development of different remote gadgets. In this review paper, TENGs targeting various environmental energy resources are systematically summarized. First, a brief introduction is given to the ocean waves’ principles, as well as the conventional energy harvesting Citation: Matin Nazar, A.; Idala devices. Next, different TENG systems are discussed in details. Furthermore, hybridization of Egbe, K.-J.; Abdollahi, A.; TENGs with other energy innovations such as solar cells, electromagnetic generators, piezoelectric Hariri-Ardebili, M.A.
    [Show full text]
  • Ecology: Biodiversity and Natural Resources Part 1
    CK-12 FOUNDATION Ecology: Biodiversity and Natural Resources Part 1 Akre CK-12 Foundation is a non-profit organization with a mission to reduce the cost of textbook materials for the K-12 market both in the U.S. and worldwide. Using an open-content, web-based collaborative model termed the “FlexBook,” CK-12 intends to pioneer the generation and distribution of high-quality educational content that will serve both as core text as well as provide an adaptive environment for learning. Copyright © 2010 CK-12 Foundation, www.ck12.org Except as otherwise noted, all CK-12 Content (including CK-12 Curriculum Material) is made available to Users in accordance with the Creative Commons Attribution/Non-Commercial/Share Alike 3.0 Un- ported (CC-by-NC-SA) License (http://creativecommons.org/licenses/by-nc-sa/3.0/), as amended and updated by Creative Commons from time to time (the “CC License”), which is incorporated herein by this reference. Specific details can be found at http://about.ck12.org/terms. Printed: October 11, 2010 Author Barbara Akre Contributor Jean Battinieri i www.ck12.org Contents 1 Ecology: Biodiversity and Natural Resources Part 1 1 1.1 Lesson 18.1: The Biodiversity Crisis ............................... 1 1.2 Lesson 18.2: Natural Resources .................................. 32 2 Ecology: Biodiversity and Natural Resources Part I 49 2.1 Chapter 18: Ecology and Human Actions ............................ 49 2.2 Lesson 18.1: The Biodiversity Crisis ............................... 49 2.3 Lesson 18.2: Natural Resources .................................. 53 www.ck12.org ii Chapter 1 Ecology: Biodiversity and Natural Resources Part 1 1.1 Lesson 18.1: The Biodiversity Crisis Lesson Objectives • Compare humans to other species in terms of resource needs and use, and ecosystem service benefits and effects.
    [Show full text]
  • Self-Powered Multifunctional Motion Sensor Enabled by Magnetic
    Article Cite This: ACS Nano XXXX, XXX, XXX−XXX www.acsnano.org Self-Powered Multifunctional Motion Sensor Enabled by Magnetic-Regulated Triboelectric Nanogenerator † ‡ ⊥ † ⊥ † ⊥ † † † † Zhiyi Wu, , , Wenbo Ding, , Yejing Dai, , Kai Dong, Changsheng Wu, Lei Zhang, Zhiming Lin, † † § Jia Cheng, and Zhong Lin Wang*, , † School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0245, United States ‡ Engineering Research Center for Mechanical Testing Technology and Equipment of Ministry of Education, Chongqing University of Technology, Chongqing 400054, China § Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China *S Supporting Information ABSTRACT: With the fast development of the Internet of Things, the requirements of system miniaturization and integration have accelerated research on multifunctional sensors. Based on the triboelectric nanogenerator, a self-powered multifunctional motion sensor (MFMS) is proposed in this work, which is capable of detecting the motion parameters, including direction, speed, and acceleration of linear and rotary motions, simultaneously. The MFMS consists of a triboelectric nanogenerator (TENG) module, a magnetic regulation module, and an acrylic shell. The TENG module is formed by placing a free-standing magnetic disk (MD) on a polytetrafluorethylene (PTFE) plate with six copper electrodes. The movement of the MFMS causes the MD to slide on the PTFE plate and hence excites the electrodes to produce a voltage output. The carefully designed six copper electrodes (an inner circle electrode, an outer circle electrode, and four arc electrodes between them) can distinguish eight directions of movement with the acceleration and determine the rotational speed and direction as well. Besides, the magnetic regulation module is applied here by fixing a magnetic cylinder (MC) in the shell, right under the center of the PTFE plate.
    [Show full text]
  • The Application of Semiempirical Methods in Drug Design
    THE APPLICATION OF SEMIEMPIRICAL METHODS IN DRUG DESIGN By MARTIN B. PETERS A DISSERTATION PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY UNIVERSITY OF FLORIDA 2007 1 c 2007 Martin B. Peters 2 For Jane 3 ACKNOWLEDGMENTS Words cannot describe my Jane. She is everything I can could ask for. She has stood by me even when I left Ireland to pursue my dream of getting my PhD. Thank you honey for your love, support and the sacrifices you have made for us. I thank my mother for always giving me tremendous support and for her words of wisdom and encouragement. I would also like to thank my two brothers, Patrick and Francis, and my two sisters, Marian and Deirdre, for all their encouragement and support. Kennie thank you for giving me the opportunity to work with you; I have truly enjoyed the experience. I would like to express my gratitude to all Merz group members especially Kaushik, Andrew, Ken, Kevin, and Duane for their support and friendship. Also I would like to acknowledge the effort of Mike Weaver who helped by editing this dissertation. 4 TABLE OF CONTENTS page ACKNOWLEDGMENTS ................................. 4 LIST OF TABLES ..................................... 8 LIST OF FIGURES .................................... 11 LIST OF ABBREVIATIONS ............................... 15 ABSTRACT ........................................ 19 CHAPTER 1 INTRODUCTION .................................. 21 2 THEORY AND METHODS ............................. 25 2.1 Receptor-Ligand Binding Free Energy ..................... 28 2.2 Computational Drug Design .......................... 30 2.3 Molecular Mechanics .............................. 32 2.4 Quantum Mechanics .............................. 33 2.5 Ligand Based Drug Design ..........................
    [Show full text]
  • Non-Empirical Calculations on the Electronic Structure of Olefins and Aromatics
    NON-EMPIRICAL CALCULATIONS ON THE ELECTRONIC STRUCTURE OF OLEFINS AND AROMATICS by Robert H. Findlay, B.Sc. Thesis presented for the Degree of Doctor of philosophy University of Edinburgh December 1973 U N /),, cb CIV 3 ACKNOWLEDGEMENTS I Wish to express my gratitude to Dr. M.H. Palmer for his advice and encouragement during this period of study. I should also like to thank Professor J.I.G. Cadogan and Professor N. Campbell for the provision of facilities, and the Carnegie Institute for the Universities of Scotland for a Research Scholarship. SUMMARY Non-empirical, self-consistent field, molecular orbital calculations, with the atomic orbitals represented by linear combinations of Gaussian-type functions have been carried out on the ground state electronic structures of some nitrogen-, oxygen-, sulphur- and phosphorus-containing heterocycles. Some olefins and olefin derivatives have also been studied. Calculated values of properties have been compared with the appropriate experimental quantities, and in most cases the agreement is good, with linear relationships being established; these are found to have very small standard deviations. Extensions to molecules for which there is no experimental data have been made. In many cases it has been iôtrnd possible to relate the molecular orbitals to the simplest member of a series, or to the hydrocarbon analogue. Predictions of the preferred geometry of selected molecules have been made; these have been used to predict inversion barriers and reaction mechanisms. / / The extent of d-orbital participation in molecules containing second row atoms has been investigated and found to be of trivial importance except in molecules containing high valence states of the second row atoms.
    [Show full text]
  • Explosive Safety with Regards to Electrostatic Discharge Francis Martinez
    University of New Mexico UNM Digital Repository Electrical and Computer Engineering ETDs Engineering ETDs 7-12-2014 Explosive Safety with Regards to Electrostatic Discharge Francis Martinez Follow this and additional works at: https://digitalrepository.unm.edu/ece_etds Recommended Citation Martinez, Francis. "Explosive Safety with Regards to Electrostatic Discharge." (2014). https://digitalrepository.unm.edu/ece_etds/ 172 This Thesis is brought to you for free and open access by the Engineering ETDs at UNM Digital Repository. It has been accepted for inclusion in Electrical and Computer Engineering ETDs by an authorized administrator of UNM Digital Repository. For more information, please contact [email protected]. Francis J. Martinez Candidate Electrical and Computer Engineering Department This thesis is approved, and it is acceptable in quality and form for publication: Approved by the Thesis Committee: Dr. Christos Christodoulou , Chairperson Dr. Mark Gilmore Dr. Youssef Tawk i EXPLOSIVE SAFETY WITH REGARDS TO ELECTROSTATIC DISCHARGE by FRANCIS J. MARTINEZ B.S. ELECTRICAL ENGINEERING NEW MEXICO INSTITUTE OF MINING AND TECHNOLOGY 2001 THESIS Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science In Electrical Engineering The University of New Mexico Albuquerque, New Mexico May 2014 ii Dedication To my beautiful and amazing wife, Alicia, and our perfect daughter, Isabella Alessandra and to our unborn child who we are excited to meet and the one that we never got to meet. This was done out of love for all of you. iii Acknowledgements Approximately 6 years ago, I met Dr. Christos Christodoulou on a collaborative project we were working on. He invited me to explore getting my Master’s in EE and he told me to call him whenever I decided to do it.
    [Show full text]
  • Computational Study of Triboelectric Generator Design
    Rhode Island College Digital Commons @ RIC Honors Projects Overview Honors Projects 2020 Computational Study of Triboelectric Generator Design Giovanni Barbosa Follow this and additional works at: https://digitalcommons.ric.edu/honors_projects COMPUTATIONAL STUDY OF TRIBOELECTRIC GENERATOR DESIGN By Giovannia Barbosa An Honors Project Submitted in Partial Fulfillment of the Requirements for Honors In The Department of Physical Sciences Faculty of Arts and Sciences Rhode Island College 2020 2 Abstract: As the world population increases and technology becomes accessible to more people, there is an increased demand for energy. Researchers are seeking innovative forms of harvesting sustainable energy with minimal environmental impact. The triboelectric effect is a form of contact electrification in which a charge is generated after two materials are separated. In 2012, the triboelectric nanogenerator (TENG) emerged as a new flexible power source which can extract energy from small ambient movements. In this study, we use a software tool known as COMSOL to conduct Finite Element Analysis of Triboelectric Generators (TEGs). One aspect we study is the enhancement of TEG efficiency by the inclusion of high dielectric constant (high-k) materials. We show that the orientation of inclusions matter: high-k dielectric inclusions with a vertical orientation display greater overall TEG performance in comparison to those with a horizontal alignment. A design where a piezoelectric material is included in the triboelectric polymer is also explored. Although
    [Show full text]
  • Defining Ultra Artificial Intelligence (UAI) Implementation Using Bionic (Biological-Like- Electronics) Brain Engineering Insight
    MOJ Applied Bionics and Biomechanics Short Communication Open Access Defining ultra artificial intelligence (UAI) implementation using bionic (biological-like- electronics) brain engineering insight Abstract Volume 2 Issue 2 - 2018 BIONICS is a common term for bio-inspired information technology, typically including three types of systems, namely: Sadique Shaikh a. bio-morphic (eg: neuromorphic) and bio-inspired electronic/optical devices, Institute of Management & Sciences (IMS), India b. autonomous artificial sensor-processor-activator prostheses and various devices built Correspondence: Sadique Shaikh, Institute of Management & into the human body, and Sciences (IMS), M.S, India, Email [email protected] c. living-artificial interactive symbioses, e.g. brain-controlled devices or robots. Received: March 12, 2018 | Published: March 26, 2018 In spite of some restrictive use of the term ‘bionics’ in popular culture, as well as the unfulfilled promises in the fields of neural networks, artificial intelligence, soft computing and other ‘oversold’ areas, it was agreed that the name bionics as defined above is the right one for the emergent technology also described as bio-inspired information technology (some people are suggesting info-bionics). There are numerous programs at several funding agencies which are supporting parts of this field under various other names.1 Bionic brain for nanotechnology may go some way to accelerating progress in AI, particularly through the sensor interface.2 For these reasons, the Bionic Brain stand for “Biological\-like-Electronic” Brain with list of main research areas that follows should be regarded as neither Mimic Natural Intelligence, Artificially on Silicon Chip which gives exhaustive nor clear-cut. Indeed, future categorizations will again c similar functioning to Humanoid (Human like Robots) like Biological Brain of human being (Refer my complete paper mentioned in Modelling reference to for depth).
    [Show full text]