Huawei HCIA-Iot V. 2.5 Evaluation Questions Michel Bakni
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Handheld Computing Terminal Industrializing Mobile Gateway for the Internet of Things
Handheld Computing Terminal Industrializing Mobile Gateway for the Internet of Things Retail Inventory Logistics Management Internet of Vehicles Electric Utility Inspection www.AMobile-solutions.com About AMobile Mobile Gateway for IIoT Dedicated IIoT, AMobile develops mobile devices and gateways for data collectivity, wireless communications, local computing and processing, and connectivity between the fields and cloud. In addition, AMobile's unified management platform-Node-Watch monitors and manages not only mobile devices but also IoT equipment in real-time to realize industrial IoT applications. Manufacturing • IPC mobile • Mobility computing technology Retail Inspection (IP-6X, Military • Premier member grade, Wide- - early access Blockchain temperature) Healthcare Logistics • Manufacturing resource pool Big Data & AI • Logistics • Global customer support Handheld Mobile Computing Data Collector Smart Meter Mobile Inspection Device with Keyboard Assistant Mobile Computing IoT Terminal Device Ultra-rugged Intelligent Barcode Reader Vehicle Mount Handheld Device Handheld Device Tablet Mobile Gateway AMobile Intelligent established in 2013, a joint venture by Arbor Technology, MediaTek, and Wistron, is Pressure Image an expert in industrial mobile computers and solutions for industrial applications including warehousing, Temperature Velocity Gyroscope logistics, manufacturing, and retail. Leveraging group resources of manufacturing and services from Wistron, IPC know-how and distribution channels from Arbor, mobility technology and -
Break-Out Sessions
Break -out Sessions Abstracts APPLICATIONS HALL Applications Software Group Portfolio Enterprises and carriers have similar software needs. Enterprises seek software applications that help them provide innovative service to their customers. Carriers seek software applications that help them create innovative, profitable products to sell to consumers. In both cases, the service or product must be delivered across multiple devices and channels. This session will highlight the Application Software Group portfolio positioning, the benefits for customers looking at portfolio solutions and also highlight a few cross portfolio use cases such as Customer Experience Management. Jessica Stanley-Yurkovic, Vice-President, North American Marketing Maximize Customer Experience and Accelerate Business Transactions Using Open APIs End users expect the type of rapid application innovation known from the Internet. Leading network services providers have recognized that they need to work together with innovative third party application developers and create a win-win situation for both parties. The key to this is application enablement. By utilizing network assets, developers can create a more seamless service experience for end users and can help businesses close transactions with their customers more effectively. This session will describe the open API program of the Alcatel-Lucent Application Software Group. The program is designed to help our customers turn their network assets into valuable enablers for maximizing the end-user experience. Sandip Mukerjee, Senior Vice President, Marketing, Applications Software Group Enriched Unified IP Communications for the Web 2.0 Generation Your boss likes to get text messages. Your father always has his mobile phone close by. Your mother prefers to talk on the phone. -
A Survey of Autonomous Vehicles: Enabling Communication Technologies and Challenges
sensors Review A Survey of Autonomous Vehicles: Enabling Communication Technologies and Challenges M. Nadeem Ahangar 1, Qasim Z. Ahmed 1,*, Fahd A. Khan 2 and Maryam Hafeez 1 1 School of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK; [email protected] (M.N.A.); [email protected] (M.H.) 2 School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad 44000, Pakistan; [email protected] * Correspondence: [email protected] Abstract: The Department of Transport in the United Kingdom recorded 25,080 motor vehicle fatali- ties in 2019. This situation stresses the need for an intelligent transport system (ITS) that improves road safety and security by avoiding human errors with the use of autonomous vehicles (AVs). There- fore, this survey discusses the current development of two main components of an ITS: (1) gathering of AVs surrounding data using sensors; and (2) enabling vehicular communication technologies. First, the paper discusses various sensors and their role in AVs. Then, various communication tech- nologies for AVs to facilitate vehicle to everything (V2X) communication are discussed. Based on the transmission range, these technologies are grouped into three main categories: long-range, medium- range and short-range. The short-range group presents the development of Bluetooth, ZigBee and ultra-wide band communication for AVs. The medium-range examines the properties of dedicated short-range communications (DSRC). Finally, the long-range group presents the cellular-vehicle to everything (C-V2X) and 5G-new radio (5G-NR). An important characteristic which differentiates each category and its suitable application is latency. -
Fog Computing for Detecting Vehicular Congestion, an Internet of Vehicles Based Approach: a Review
> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 1 Fog Computing for Detecting Vehicular Congestion, An Internet of Vehicles based Approach: A review Arnav Thakur and Reza Malekian, Senior Member, IEEE double by the year 2020 [3]. To enhance the efficiency of the Abstract—Vehicular congestion is directly impacting the transportation sector and reduce the associated economic and efficiency of the transport sector. A wireless sensor network for environmental consequences, an accurate real-time vehicular vehicular clients is used in Internet of Vehicles based solutions traffic congestion identification system is required to be used for traffic management applications. It was found that vehicular in effective traffic management schemes that improve traffic congestion detection by using Internet of Vehicles based connected vehicles technology are practically feasible for flow and utilization of road infrastructure. congestion handling. It was found that by using Fog Computing Vehicular congestion is quantified by using the traffic based principles in the vehicular wireless sensor network, density estimate metric which is the number of vehicles per communication in the system can be improved to support larger unit area [4]. The traffic density estimation techniques use number of nodes without impacting performance. In this paper, parameters that include road occupancy rates, difference of connected vehicles technology based vehicular congestion incoming and outgoing traffic in an observation area, traffic identification techniques are studied. Computing paradigms that can be used for the vehicular network are studied to develop a flow estimation and motion detection and tracking to identify practically feasible vehicular congestion detection system that congestion [5]. -
An Intelligent Edge-Chain Enabled Access Control Mechanism For
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/JIOT.2021.3061467, IEEE Internet of Things Journal JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 1 An Intelligent Edge-Chain Enabled Access Control Mechanism for IoV Yuanni Liu, Man Xiao, Shanzhi Chen, Fellow, IEEE, Fan Bai, Jianli Pan, Member, IEEE, Di Zhang, Senior Member, IEEE Abstract—The current security method of Internet of Vehicles the amounts of vehicles exceed one billion and is expected (IoV) systems is rare, which makes it vulnerable to various to reach two billion by 2035 [6], [7]. As explosive on-road attacks. The malicious and unauthorized nodes can easily in- devices are connecting to Internet, communication security vade the IoV systems to destroy the integrity, availability, and confidentiality of information resources shared among vehicles. becomes a big issue. As we know, the communication security Indeed, access control mechanism can remedy this. However, as method of current IoV devices is rare, making it easy to be a static method, it cannot timely response to these attacks. To attacked. Such malicious attacks include replay, camouflage, solve this problem, we propose an intelligent edge-chain enabled and message tampering attacks et al. [8]. The attacked IoV access control framework with vehicle nodes and RoadSide Units devices may rise potential risks, such as critical electronic (RSUs) in this study. In our scenario, vehicle nodes act as lightweight nodes, whereas RUSs serve as full and edge nodes control unit hacking and control, untrustworthy messages from to provide access control services. -
Position Prediction for Routing in Software Defined Internet of Vehicles
Journal of Communications Vol. 15, No. 2, February 2020 Position Prediction for Routing in Software Defined Internet of Vehicles Muhammad Ali Jibran1, Muhammad Tahir Abbas2, Adeel Rafiq1, and Wang-Cheol Song1 1, Jeju National University, Jeju, South Korea 2 Karlstad University, Karlstad, Sweden Email: [email protected]; [email protected] Abstract—By the prediction of future location for a vehicle in In the past few years, vehicle to vehicle (V2V) Internet of Vehicles (IoV), data forwarding schemes can be communication gain a lot of attention because of its further improved. Major parameters for vehicle position potential to make our journey comfortable on the roads. prediction includes traffic density, motion, road conditions, and The core requirement of connected cars include a reliable vehicle current position. In this paper, therefore, our proposed and fast communication with very low latency response system enforces the accurate prediction with the help of real- time traffic from the vehicles. In addition, the proposed Neural to and from a service provider. In the meanwhile, it needs Network Model assists Edge Controller and centralized to be more efficient to manage a huge number of requests controller to compute and predict vehicle future position inside simultaneously with no traffic congestion. In ITS, a and outside of the vicinity, respectively. Last but not least, in vehicle on the road always initiates a new connection order to get real-time data, and to maintain a quality of request towards the traffic controller in case of path experience, the edge controller is explored with Software failure. Traffic controller estimates a new path each time Defined Internet of Vehicles. -
Deep Learning-Based Intrusion System for Vehicular Ad Hoc Networks
Computers, Materials & Continua CMC, vol.65, no.1, pp.653-681, 2020 Deep Learning-Based Intrusion System for Vehicular Ad Hoc Networks Fei Li1, *, Jiayan Zhang1, Edward Szczerbicki2, Jiaqi Song 1, Ruxiang Li 1 and Renhong Diao1 Abstract: The increasing use of the Internet with vehicles has made travel more convenient. However, hackers can attack intelligent vehicles through various technical loopholes, resulting in a range of security issues. Due to these security issues, the safety protection technology of the in-vehicle system has become a focus of research. Using the advanced autoencoder network and recurrent neural network in deep learning, we investigated the intrusion detection system based on the in-vehicle system. We combined two algorithms to realize the efficient learning of the vehicle’s boundary behavior and the detection of intrusive behavior. In order to verify the accuracy and efficiency of the proposed model, it was evaluated using real vehicle data. The experimental results show that the combination of the two technologies can effectively and accurately identify abnormal boundary behavior. The parameters of the model are self-iteratively updated using the time-based back propagation algorithm. We verified that the model proposed in this study can reach a nearly 96% accurate detection rate. Keywords: Internet of vehicles, safety protection technology, intrusion detection system, advanced auto-encoder, recurrent neural network, time-based back propagation algorithm. 1 Introduction In recent years, intelligent vehicles, a fusion of Internet technology and the machinery manufacturing industry, have resulted in the development of comprehensive information services for travel and daily commutes [Unluturk, Oguz and Atay (2015); Contreras- Castillo, Zeadally and Guerrero-Ibañez (2017)]. -
A Comparative Study Between Operating Systems (Os) for the Internet of Things (Iot)
VOLUME 5 NO 4, 2017 A Comparative Study Between Operating Systems (Os) for the Internet of Things (IoT) Aberbach Hicham, Adil Jeghal, Abdelouahed Sabrim, Hamid Tairi LIIAN, Department of Mathematic & Computer Sciences, Sciences School, Sidi Mohammed Ben Abdellah University, [email protected], [email protected], [email protected], [email protected] ABSTRACT Abstract : We describe The Internet of Things (IoT) as a network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data in real time with the outside world. It therefore assumes an operating system (OS) which is considered as an unavoidable point for good communication between all devices “objects”. For this purpose, this paper presents a comparative study between the popular known operating systems for internet of things . In a first step we will define in detail the advantages and disadvantages of each one , then another part of Interpretation is developed, in order to analyze the specific requirements that an OS should satisfy to be used and determine the most appropriate .This work will solve the problem of choice of operating system suitable for the Internet of things in order to incorporate it within our research team. Keywords: Internet of things , network, physical object ,sensors,operating system. 1 Introduction The Internet of Things (IoT) is the vision of interconnecting objects, users and entities “objects”. Much, if not most, of the billions of intelligent devices on the Internet will be embedded systems equipped with an Operating Systems (OS) which is a system programs that manage computer resources whether tangible resources (like memory, storage, network, input/output etc.) or intangible resources (like running other computer programs as processes, providing logical ports for different network connections etc.), So it is the most important program that runs on a computer[1]. -
Iot Ecosystem Brand White Paper
IoT Ecosystem Brand White Paper The Standards and Definition of IoT Ecosystem Brand September 20th, 2020 IoT Ecosystem Brand White Paper 1 There are times when it is wise for important role in business growth Foreword corporations to take a pregnant in the years to come. Frameworks pause. To look around and see if the that encourage entrepreneurism very things that have made them and put the customer at the center successful are the right ingredients of the organisation to create lasting to secure success in the future. lifetime value right across a vibrant ecosystem. As a diligent student of corporate history and business transformation But here is the issue that has been myself it is often easy to spot, with troubling me and many others for the magic of hindsight, the point at some time. which a successful company started to fail. From then on, it's often a long, Our financial accounting models, undignified journey of management performance metrics, calculations denial and subsequent terminal of economic profit, ROCE and many David Roth decline with the destruction of much of the established metrics that shareholder value along the way. analysts plug into their spreadsheets to uncover hidden value, are all CEO The Store WPP, Corporations have a bad habit of part of an old model - a model not Chairman BrandZTM thinking they will last forever - that's designed for an ecosystem era. and BAV Group, how they are built and structured. Global They struggle to extract onto the Consumers and customers have a balance sheet the true value the very different mindset as viewed ecosystem is creating, the value to through the lens of their changing the firm, it's ecosystem partners and attitudes and bonds towards the their respective brands. -
The Concepts of Connected Car and Internet of Cars and Their Impact on Future People Mobility
INFORMATION SYSTEMS IN MANAGEMENT Information Systems in Management (2017) Vol. 6 (3) 234 −245 THE CONCEPTS OF CONNECTED CAR AND INTERNET OF CARS AND THEIR IMPACT ON FUTURE PEOPLE MOBILITY AGNIESZKA SZMELTER Department of Logistics, University of Gda ńsk (UG) Technological convergence has had a huge impact on development of automo- tive industry. Two main concepts related to mobile technology and the Internet of Things (IoT) in this industry are car connectivity and Internet of Cars (IoC). The ar- ticle aims to present these two concepts with special emphasis on the characteristics of people mobility in future cities. Keywords: automotive, logistics, information logistics, convergence, technological convergence, internet of things, internet of cars, connected car, car connectivity, mobility, public transport. 1. Introduction The global economy, which is currently characterized by development of mo- bile and Internet technologies, is in large part composed of the services sector. A new paradigm appeared: information and communication technologies enable achievement of the economic and / or social objectives by use of cooperation methods (including sharing). ICT contribute to the acceleration of economic recov- ery and the creation of "sustainable digital future" [7]. This paper aims to achieve cognitive objective, which is to present the impact of technological developments in automotive industry (especially the concepts of car connectivity and Internet of Cars) on the development of new people mobility behaviour in cities. The author hypothesizes that technological convergence, pre- sent in currently-sold cars and cars of the future significantly contributes and will contribute to development of new patterns of mobility in cities. The main research method used in the study is analysis of secondary sources, including literature and branch studies made by experts in automotive industry. -
E1-E2 (Cfa) Fiber to the Home Fiber to the Home (Ftth)
E1E1--E2E2 (CFA) FIBER TO THE HOME (FTTH) © BHARAT SANCHAR NIGAM LIMITED To day customers wants Dependable High Speed Data High Quality Voice Video Service These services are delivered by Digital Subscriber Lines (DSL) Cable Modems Wireless USER REQUIREMENT Video Data User The preferred user’s requirement Voice • Many services on one infrastructure is efficient • Efficiency = lower costs for users and service providers • Enhanced choice is attractive to customers • Commercially viable for network owner/operator © BHARAT SANCHAR NIGAM LIMITED To meet the costumers demand, service provider needs a Robust networking solution. The solution is fiber based networks on fiber based technologies or FTTH © BHARAT SANCHAR NIGAM LIMITED FTTH OFFERS Unlimited bandwidth The flexibility to meet customer demand for interactive, video-based services. © BHARAT SANCHAR NIGAM LIMITED Fiber in the loop In FITL network architecture the fiber optic technology is being deployed from Central Office (CO) of a telephone carrier to a remote serving area interface(SAI) to an Optical Network Unit (ONU) located at the customer premises . Normally, the fiber is deployed in either all or part of the local loop distribution network. • FITL includes various architectures such as FTTC, FTTH & FTTP. © BHARAT SANCHAR NIGAM LIMITED Fiber to the x ( FTTX) It is a generic term for any network architecture that uses optical fiber to replace all or part of the usual copper local loop used form telecommunications . © BHARAT SANCHAR NIGAM LIMITED Today, fiber networks come in many varieties, depending on the termination point .i.e. FTTx Fiber To The Node/Network (FTTN) Fiber To The Curb or Cabinet (FTTC) Fiber To The Buildings (FTTB), Fiber To The Home (FTTH), For simplicity, most people have begun to refer to the fiber network as FTTx, in which x stands for the termination point. -
RIOT, the Friendly Operating System for The
The friendly operating system for the IoT by Thomas Eichinger (on behalf of the RIOT community) OpenIoT Summit NA 2017 Why? How? What is RIOT? Why? How? What is RIOT? Why a software platform for the IoT? ● Linux, Arduino, … bare metal? ● But as IoT software evolves … ○ More complex pieces e.g. an IP network stack ○ Evolution of application logic ● … non-portable IoT software slows innovation ○ 90% of IoT software should be hardware-independent → this is achievable with a good software platform (but not if you develop bare metal) Why a software platform for the IoT? ✓ faster innovation by spreading IoT software dev. costs ✓ long-term IoT software robustness & security ✓ trust, transparency & protection of IoT users’ privacy ✓ less garbage with less IoT device lock-down Why? How? What is RIOT? How to achieve our goals? Experience (e.g. with Linux) points towards ● Open source Indirect business models ● Free core Geopolitical neutrality ● Driven by a grassroot community Main Challenges of an OS in IoT Low-end IoT device resource constraints ● Kernel performance ● System-level interoperability ● Network-level interoperability ● Trust SW platform on low-end IoT devices ● The good news: ○ No need for advanced GUI (a simple shell is sufficient) ○ No need for high throughput performance (kbit/s) ○ No need to support dozens of concurrent applications ● The bad news: ○ kBytes of memory! ○ Typically no MMU! ○ Extreme energy efficency must be built in! SW platform on low-end IoT devices ● Contiki ● mbedOS (ARM) ● ● Zephyr (Intel) ● TinyOS ● LiteOS (Huawei) ● myNewt ● … ● FreeRTOS ● and closed source alternatives Reference: O. Hahm et al. "Operating Systems for Low-End Devices in the Internet of Things: A survey," IEEE Internet of Things Journal, 2016.