This book discusses the effect that artificial intelligence (AI) and Internet of Things (Io T) have on industry. The authors start by showing how the application of these technologies has already stretched across domains such as law, political science, policy, and economics and how it will soon permeate areas of autonomous transportation, education, and space exploration, only to name a few. The authors then discuss applications in a variety of industries. Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. This book provides relevant theoretical frameworks and the latest empirical research findings in various applications. The book is written for professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society, that is, trust at the level of the global economy, of networks and organizations, of teams and work groups, of information systems and, finally, trust at the level of individuals as actors in the networked environments.
- Presents research in various industries and how artificial intelligence and Internet of Things is changing the landscape of business and management;
- Includes new and innovative features in artificial intelligence and Io T that can help in raising economic efficiency at both micro and macro levels;
- Examines case studies with tried and tested approaches to resolution of typical problems in each application of study.
สารบัญ
Introduction.- Part I.- Data analytics for distributed computing and Io T.- Innovations in Software Requirements Engineering for Io T and Big Data.- Innovations in Software Design and Architectures of Io T and Big Data Platforms.- Data storage channels and distributed storage networks.- Big data practices and applications.- Big data retrieval, processing, analysis, and analytics.- Io T and pharmacocybernetics.- Io T for smart manufacturing (industry 4.0) and smart spaces.- Io T big data and predictive analysis.- Managing big data models with interactive Machine learning techniques.- Managing big data models with interactive Deep learning techniques.- Machine learning, data mining, web mining, and graph mining for social network analysis.- Part II.- Mobile networking and computing for cloud and fog/edge computing.- Security and Privacy Approaches to Io T and Big Data Applications and Platforms.- Virtualization of storage, networking, and computing.- SDN-enabled cloud data centers.- Elasticityand scalability of cloud resources.- Cloud management, orchestration, and automation.- Server less computing and Faa S.- Cloud-based storage platforms.- Decentralized storage in cloud and fog/edge computing systems.- Software-defined storage.- Part III.- Decentralized applications (Exchanges, Mining Pools, Trading Platforms).- Blockchain technology for developing countries.- Scalability, sharding, and scalable services for blockchain systems.- Security and privacy in the cloud and fog/edge infrastructure, services and storage.- Big Data and blockchain technology.- Cloud based authentication and privacy mechanisms Part IV.- Agile Software Engineering Approaches to Io T and Big Data Applications.- Software Engineering Framework for Io T.- Software Engineering Framework for Big Data.- Big Data Algorithms and Applications.- Io T design and architectures.- Security and Privacy Approaches to Io T and Big Data Applications and Platforms.- Conclusion.
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Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen’s University, Kingston, Ontario, Canada, in 2011. He is a full professor and a research center director at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent, wireless, and mobile networks’ architectures, protocols, deployments, Multimedia analysis and performance evaluation. His publication history spans over 250 publications in journals, conferences, patents, books, and book chapters, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 25 books about cognition, security, and wireless sensor networks’ deployments in smart environments, published by Taylor and Francis, Elsevier, and Springer. He has received several recognitions and best papers’ awards at top international conferences. He also received the prestigious Best Research Paper Award from Elsevier Computer Communications Journal for the period 2015-2018, in addition to the Top Researcher Award for 2018 at Antalya Bilim University, Turkey. Prof. Al-Turjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as an associate editor and the lead guest/associate editorfor several well reputed journals, including the IEEE Communications Surveys and Tutorials (IF 22.9) and the Elsevier Sustainable Cities and Society (IF 4.7).
Dr. Satya Prakash Yadav is currently the Associate Professor of the Department of Computer Science and Engineering, G.L. Bajaj Institute of Technology and Management (GLBITM), Greater Noida (India). He has awarded his Ph D degree entitled “Fusion of Medical Images in Wavelet Domain” to Dr. A.P.J. Abdul Kalam Technical University (AKTU) (formerly UPTU). A seasoned academician having more than 14 years of experience, he has published four books (Programming in C, Programming in C++ and Blockchain and Cryptocurrency) under I.K. International Publishing House Pvt. Ltd. Including Distributed Artificial Intelligence: A Modern Approach, Published December 18, 2020 by CRC Press. He has undergone industrial training programs during which he was involved in live projects with companies in the areas of SAP, Railway Traffic Management Systems, and Visual Vehicles Counter and Classification (used in the Metro rail network design). He is an alumnus of Netaji Subhas Institute of Technology (NSIT), Delhi University. A prolific writer, Dr. Satya Prakash Yadav has published two patents and authored many research papers in web of science indexed journals. Additionally, he has presented research papers at many conferences in the areas of Image Processing, Information Retrieval, Features Extraction and Programming, such Digital Image Processing, Feature Extraction, Information Retrieval, C, Data Structure, C++, C# and Java. Also, he is a lead editor in CRC Press, Taylor and Francis Group Publisher (U.S.A), Tech Science Press (Computer Systems Science and Engineering), International Springer Publisher, Science Publishing Group, (U.S.A), and Eureka Journals, Pune (India). Dr. Manoj Kumar obtained his Ph.D. Computer Science from The Northcap University, Gurugram. He did his B. Tech in computer science from Kurukshetra University. He obtained M. Sc. (Information Security and Forensics) degree from ITB, Dublin in and M. Tech from ITM University. Mr. Kumar has 9.5+ years of experience in research and academics. He published over 29 publications in reputed journals and conferences. He published 2 books and 5 patents with his team. Presently, Mr. Kumar is working on the post of assistant professor (SG), (So CS) in university of petroleum and energy studies, Dehradun. He is a member of various professional bodies and reviewed for many reputed journals. He is Editorial Board Member in The International Arab Journal of Information Technology (IAJIT), Jordon and Journal of Computer Science Research, Singapore. He is recognized as Quarterly Franklin Member (QFM) by London Journal Press from March 2019 onwards and Bentham Ambassador (India) on behalf of Bentham Science Publisher. He delivered various key speech and talks in national and international forums.
Dr. Vibhash Yadav: He is a B.Tech. (CSE) from C.S.J.M University, Kanpur, M.Techin (C.S.E) from Maharshi Dayanand University, Rohtak and Ph.D. in Computer Science and Engineering from Uttrakhand Technical University, Dehradun. He has about 10 years of experience in teaching. Currently, he is Associate Professor and Head in I.T Dept of Rajkiya Engineering College, Banda. He has guided 4 M.Techs and several B.E./B.Tech projects. He is the Member, Kanpur Chapter, CSI. He has more than 15 papers in National / International Conferences and Journals to his credit. Currently, 4 students are working for Ph.D. and 4 are pursuing M.Tech. under his guidance.
Dr. Thompson Stephan is currently holding the position of Assistant Professor in the Department of Computer Science and Engineering, Faculty of Engineering and Technology, M. S. Ramaiah University of Applied Sciences, Bangalore, Karnataka, India. He received the Ph.D. degree in Computer Science and Engineering from Pondicherry University, India. He was awarded for his academic excellence in his master’s degree with a university rank. He received the Best Researcher Award-2020, IEEE Bangalore Section, India. His research interests focus on the implementations and practical applications of computational intelligence and machine learning techniques. He has authored many technical research papers published in leading journals and conferences from the IEEE, Elsevier, Springer, etc. He is an active reviewer in many international reputed journals. He is currently the editor of many books. He is currently a member of IEEE.
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