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Artificial Intelligence to Solve Pervasive Internet of Things Issues [Pehme köide]

Edited by (Associate Professor, Department of Electronics and Communication Engineering, Delhi Technological University, Delhi, India), Edited by , Edited by (Assistant Professor, School of Information and Communication Technology, Gautam Buddha University, Greater No)
  • Formaat: Paperback / softback, 428 pages, kõrgus x laius: 235x191 mm, kaal: 860 g
  • Ilmumisaeg: 23-Nov-2020
  • Kirjastus: Academic Press Inc
  • ISBN-10: 0128185767
  • ISBN-13: 9780128185766
Teised raamatud teemal:
  • Formaat: Paperback / softback, 428 pages, kõrgus x laius: 235x191 mm, kaal: 860 g
  • Ilmumisaeg: 23-Nov-2020
  • Kirjastus: Academic Press Inc
  • ISBN-10: 0128185767
  • ISBN-13: 9780128185766
Teised raamatud teemal:

Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability.

The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others.

  • Discusses intelligent techniques for the implementation of Artificial Intelligence in Internet of Things
  • Prepared for researchers and specialists who are interested in the use and integration of IoT and Artificial Intelligence technologies
List of contributors xiii
About the editors xvii
Preface xxi
Chapter 1 Impact of Artificial Intelligence on Future Green Communication 1(12)
Akanksha Srivastava
Mani Shekhar Gupta
Gurjit Kaur
1.1 Introduction
1(1)
1.2 The History of Artificial Intelligence
1(3)
1.3 A Road Map of Using Artificial Intelligence for Green Communication
4(2)
1.4 Key Technologies to Make 5G in Reality Using Artificial Intelligence
6(3)
1.5 Features of Artificial Intelligence-Based Green Communication
9(1)
1.6 Conclusion
10(1)
Acknowledgment
11(1)
References
11(2)
Chapter 2 Knowledge Representation and Reasoning in Al-Based Solutions and IoT Applications 13(38)
Marcus Tanque
2.1 Introduction
13(1)
2.2 Background
13(1)
2.3 Knowledge Representation and Reasoning
14(1)
2.4 Knowledge Inference, Forward and Backward Chaining, and KL-One Languages
15(1)
2.5 Artificial Intelligence
16(1)
2.6 Artificial Intelligence for Information Technology
17(1)
2.7 AI, KRR and IoT Functions
18(1)
2.8 Artificial Intelligence Applications and Tools
19(1)
2.9 Machine Learning and Deep Learning
20(1)
2.10 Robotic Process Automation
20(2)
2.11 Internet of Things
22(2)
2.12 Natural-Language Understanding and Interpretation
24(1)
2.13 Learning Using Privileged Information
25(1)
2.14 Picture Archiving and Communication System
26(1)
2.15 Infrastructure-Based Mobile Networks
26(2)
2.16 Dynamically Created Mobile Ad Hoc Networks
28(1)
2.17 Intelligent Agents, Conversational and Natural Intelligence
28(1)
2.18 Advanced Metering Infrastructure
29(2)
2.19 Distributed Automation Networks
31(1)
2.20 Optical Character Recognition and Human Minds
31(1)
2.21 Simple Neural and Biological Neural Networks
32(1)
2.22 Machine Intelligence Learning and Deep Learning
33(1)
2.23 Upper Ontology and Machine Translation
34(1)
2.24 Frame Problem and CycL Projects and Semantic
34(1)
2.25 Presenting, Reasoning, and Problem Solving
35(1)
2.26 Simple Neural Networks, Artificial Neural Networks
36(1)
2.27 Contextual Artificial Intelligence Perspectives
37(2)
2.28 Complex Artificial Intelligence Systems
39(1)
2.29 The Impact of Smart Dust on IoT Technology
40(3)
2.30 The Next Generation of Computers and Functional Trends
43(1)
2.31 Conclusion and Future Reading
44(1)
References
45(3)
Further Reading
48(3)
Chapter 3 Artificial Intelligence, Internet of Things, and Communication Networks 51(16)
Garima Singh
Gurjit Kaur
3.1 Introduction
51(1)
3.2 Machine Learning/Artificial Intelligence-Assisted Networking
52(1)
3.3 Artificial Intelligence in Communication Networks
52(2)
3.4 Transforming Optical Industries by Artificial Intelligence
54(1)
3.5 Artificial Intelligence in Optical Transmission
55(1)
3.6 Artificial Intelligence in Optical Networking
56(1)
3.7 Advantages of Machine Learning in Networking
57(1)
3.8 Optical Technologies to Support Internet of Things
58(1)
3.9 Applications of Internet of Things with Optical Technologies
59(1)
3.10 Conclusion
60(1)
References
61(6)
Chapter 4 AI and IoT Capabilities: Standards, Procedures, Applications, and Protocols 67(18)
Aditya Pratap Singh
Pradeep Tomar
4.1 Introduction
67(1)
4.2 Internet of Things
68(11)
4.3 Artificial Intelligence
79(2)
4.4 Conclusion
81(1)
References
82(3)
Chapter 5 Internet of Intelligent Things: Injection of Intelligence into IoT Devices 85(18)
Simar Preet Singh
Arun Solanki
Tarana Singh
Akash Tayal
5.1 Introduction
85(1)
5.2 Methodology
86(1)
5.3 Architecture of Internet of Things
86(2)
5.4 Security and Privacy
88(2)
5.5 Artificial Intelligence and Internet of Things
90(2)
5.6 Applications of Internet of Things
92(4)
5.7 Conclusion and Future Directions
96(1)
References
97(6)
Chapter 6 Artificial Intelligence and Machine Learning Applications in Cloud Computing and Internet of Things 103(22)
Mamata Rath
Jyotirmaya Satpathy
George S. Oreku
6.1 Introduction
103(3)
6.2 Application of Machine Learning in Different Sectors of Society
106(5)
6.3 Artificial Intelligence with Multiple Application Fields
111(6)
6.4 Application of Internet of Things in Medical Field
117(1)
6.5 Conclusion
118(1)
References
119(4)
Further Reading
123(2)
Chapter 7 Knowledge Representation for Causal Calculi on Internet of Things 125(22)
Phillip G. Bradford
Himadri N. Saha
Marcus Tanque
7.1 Introduction
125(1)
7.2 Background
125(1)
7.3 Knowledge Representation
126(1)
7.4 Dynamic Knowledge Representation
126(1)
7.5 Intersection of Knowledge Representation, Causal Calculus, and Internet of Things
126(1)
7.6 First-Order Logic and Predicate Calculus for KR, CC, and IoT
127(1)
7.7 Structural Causal Model
128(1)
7.8 Pearl's Do-Calculus
129(1)
7.9 Pearl's Do-Operator
130(1)
7.10 Pearl's Bayesian Networks
130(2)
7.11 Halpern-Pearl Causality
132(2)
7.12 Shafer's Probability Trees
134(2)
7.13 CP-Logic from Prolog and ProbLog
136(4)
7.14 Probabilities and Causal Relationships
140(1)
7.15 Mathematical Rules for Do-Calculus
141(1)
7.16 Bayesian Networks
142(1)
7.17 Simulation and Equivalence Class
142(1)
7.18 Future Research Direction
143(1)
7.19 Conclusion
143(1)
References
144(1)
Further Reading
145(2)
Chapter 8 Examining the Internet of Things-Based Elegant Cultivation Technique in Digital Bharat 147(14)
Rajeev Kr. Sharma
Rupak Sharma
Navin Ahiawat
8.1 Introduction
147(1)
8.2 Internet of Things
147(5)
8.3 Issues to Consider Before Designing Your Elegant Farming Solution
152(2)
8.4 Applications of Internet of Things in Agriculture
154(3)
8.5 Why Will Internet of Things?
157(1)
8.6 Future of Internet of Things in Agriculture
157(1)
8.7 Conclusion
158(1)
References
159(2)
Chapter 9 Machine Learning and Internet of Things for Smart Processing 161(22)
Ramgopal Kashyap
9.1 Introduction
161(1)
9.2 Information Labeling and Information Segmentation
162(1)
9.3 Machine Learning Tools
163(5)
9.4 Computer Vision and Neural Network
168(2)
9.5 Challenges and Solutions
170(3)
9.6 Research Questions
173(3)
9.7 Examination and Results
176(2)
9.8 Web and Image Mining
178(1)
9.9 Image Mining for Medical Diagnosis
179(1)
9.10 Conclusion
179(1)
References
180(3)
Chapter 10 Intelligent Smart Home Energy Efficiency Model Using Artificial Intelligence and Internet of Things 183(28)
Harpreet Kaur
Simar Preet Singh
Supreet Bhatnagar
Arun Solanki
10.1 Introduction
183(1)
10.2 Literature Review
184(4)
10.3 Energy Efficiency Model
188(2)
10.4 Need for Energy-Efficient Intelligent Smart Home Model
190(1)
10.5 Basic Terminology Used
191(2)
10.6 Components of Proposed Model
193(1)
10.7 Working of Proposed Model
193(2)
10.8 Technology Used in Making the Proposed Model
195(4)
10.9 Comparison Between Models
199(1)
10.10 Advantages of Proposed Model
199(1)
10.11 Applications of Proposed Model
199(5)
10.12 Conclusion and Future Scope
204(1)
References
205(6)
Chapter 11 Adaptive Complex Systems: Digital Twins 211(28)
Tony Clark
Vinay Kulkarni
11.1 Complex Systems
211(1)
11.2 Approaches to Complex System Engineering
212(1)
11.3 Digital Twins
213(8)
11.4 Technology for Digital Twins
221(10)
11.5 Case Study
231(6)
11.6 Conclusion and Research Roadmap
237(1)
References
237(2)
Chapter 12 Artificial Intelligence Powered Healthcare Internet of Things Devices and Their Role 239(12)
Pranjit Deka
Garima Singh
Gurjit Kaur
12.1 Introduction
239(1)
12.2 Role of Internet of Things in Healthcare
239(2)
12.3 Ease of Treatment
241(1)
12.4 Uses for Healthcare Establishments
242(1)
12.5 Encountering Possible Challenges and Vulnerabilities
243(1)
12.6 Innovation and Business Perspective of Internet
244(2)
12.7 Robotics and Nanotechnology Amalgamation
246(1)
12.8 The Implication of Nanotechnology
247(1)
12.9 Complementing Government Schemes
248(1)
12.10 Conclusion
249(1)
Reference
250(1)
Chapter 13 IoT: Integrating Artificial Intelligence With IoT to Solve Pervasive IoT Issues 251(18)
Lakshita Aggarwal
Prateek Singh
Rashbir Singh
Latika Kharb
13.1 Introduction
251(15)
13.2 Conclusion
266(1)
References
267(2)
Chapter 14 Intelligent Energy-Oriented Home 269(22)
Zita Vale
Luis Gomes
Pedro Faria
Carlos Ramos
14.1 Introduction
269(1)
14.2 Smart Homes, Ambient Intelligence, and Smart Grids
270(2)
14.3 Architecture for an Intelligent Energy-Oriented Home
272(3)
14.4 Implementation of Systems for Illustration of Intelligent Behaviors in an Intelligent Energy-Oriented Home
275(7)
14.5 Test and Analysis of the Intelligent Energy-Oriented Home
282(4)
14.6 Conclusions and Further Developments
286(1)
Acknowledgments
287(1)
References
287(2)
Further Reading
289(2)
Chapter 15 Corporate Cybersecurity Strategy to Enable Artificial Intelligence and Internet of Things 291(26)
Michele Myauo
15.1 Introduction
291(1)
15.2 Cybersecurity
292(1)
15.3 Understanding the Cyber-Adversarial System
293(1)
15.4 Threat Vectors: Internal and External Threats
294(1)
15.5 Nonmalicious Noncompliance
294(1)
15.6 Malicious Noncompliance
294(1)
15.7 Financially Motivated Cyber-Attackers
295(1)
15.8 Ideologically and Politically Motivated Cyber-Attackers
295(1)
15.9 Anatomy of a Cyber-Attack
296(2)
15.10 Why Cybersecurity and Why Corporate Strategy
298(1)
15.11 Cybersecurity Laws
298(2)
15.12 Causes of Cybersecurity Inertia
300(1)
15.13 Three I's of Corporate Cybersecurity Strategy
300(1)
15.14 Cybersecurity Systems Engineering
301(1)
15.15 Enterprise Architecture Frameworks
302(1)
15.16 Zachman Framework
302(1)
15.17 US Department of Defense Architecture Framework
303(1)
15.18 Service-Oriented Architecture
304(1)
15.19 Cybersecurity IT Portfolio Management
304(2)
15.20 Smarter Cybersecurity Leveraging Artificial Intelligence
306(1)
15.21 IoT and Growing Cybersecurity Risk
306(2)
15.22 The Change Management Challenge
308(1)
15.23 Cybersecurity Expertise
308(1)
15.24 Assess Current State
309(1)
15.25 Making Cyber Part of Corporate Strategy
310(2)
References
312(5)
Chapter 16 Role of Artificial Intelligence and the Internet of Things in Agriculture 317(14)
Garima Singh
Anamika Singh
Gurjit Kaur
16.1 Introduction
317(1)
16.2 Artificial Intelligence in Agriculture
318(1)
16.3 Components of Artificial Intelligence Required in Agriculture
318(2)
16.4 Role of Machine Learning in Agriculture
320(2)
16.5 Models for Farmers Services
322(1)
16.6 Internet of Things Applications in Agriculture
323(3)
16.7 Currently Used Artificial Intelligence
326(2)
16.8 Challenges with Artificial Intelligence and Internet of Things in Agriculture
328(1)
16.9 Conclusion
328(1)
References
329(2)
Chapter 17 Integrating Artificial Intelligence/Internet of Things Technologies to Support Medical Devices and Systems 331(20)
Priya Singh
Garima Singh
Gurjit Kaur
17.1 Introduction-Medical Devices and Healthcare Systems
331(1)
17.2 Problems in Conventional Medical Systems
331(1)
17.3 Categories of Medical Devices
332(1)
17.4 Internet of Things/Artificial Intelligence in Medical Devices and Healthcare
333(2)
17.5 Enabling Technologies of Internet of Things in Medical Devices and Systems
335(2)
17.6 Monitoring Using Internet of Things/Artificial Intelligence in Medical Devices and System
337(1)
17.7 Critical Issues and Challenges of Internet of Things in Medical Devices and Systems
338(2)
17.8 IoT Medical Devices and System Security
340(3)
17.9 Scalability
343(4)
17.10 Conclusion
347(1)
References
347(4)
Chapter 18 Machine Learning for Optical Communication to Solve Pervasive Issues of Internet of Things 351(16)
Dushyant Singh Chauhan
Gurjit Kaur
18.1 Introduction
351(1)
18.2 Machine Learning Techniques
351(2)
18.3 Machine Learning Techniques Used in Optical Communication
353(1)
18.4 Machine Learning in Physical Layer
353(5)
18.5 Machine Learning in Network Layer
358(5)
18.6 Conclusion
363(1)
References
364(3)
Chapter 19 Impact of Artificial Intelligence to Solve Pervasive Issues of Sensor Networks of Internet of Things 367(10)
Akanksha Srivastava
Mani Shekhar Gupta
Gurjit Kaur
19.1 Introduction
367(1)
19.2 Sensor Network Technology
368(3)
19.3 Pervasive Issues Related to Sensor Networks
371(3)
19.4 Role of Artificial Intelligence to Solve Pervasive Issues of Sensor Network
374(1)
19.5 Features of Artificial Intelligence in the Internet of Things Revolution
374(1)
19.6 Conclusion
375(1)
Acknowledgment
375(1)
References
375(2)
Chapter 20 Principles and Foundations of Artificial Intelligence and Internet of Things Technology 377(16)
Harshit Bhardwaj
Pradeep Tomar
Aditi Sakalle
Uttam Sharma
20.1 Introduction
377(1)
20.2 Background
378(2)
20.3 Existing Technologies in Artificial Intelligence and Internet of Things
380(8)
20.4 Future of Artificial Intelligence and Internet of Things
388(1)
20.5 Conclusion
389(1)
References
390(3)
Index 393
Dr. Gurjit Kaur is an Associate Professor in the Department of Electronics & Communication Engineering at the Delhi Technological University (DTU), Delhi, India. She has been a topper throughout her academic education. As a testimonial to the same, she has been awarded by Chief Minister S. Prakash Singh Badal for being the topper in Punjab state. After that, she was awarded a Gold Medal by former President of India Dr. A P J Abdul Kalam for being the overall topper of the Punjab Technical University, Jalandhar in B.Tech program. She also received an Honour by Guru Harkrishan Education Society for being topper among all the colleges and all the disciplines of PTU, Jalandhar. She then proceeded to PEC University of Technology, Chandigarh to complete her M. Tech in 2003 and also earned her Ph.D. degree from Panjab University, Chandigarh in 2010 with distinction.

She has spent over 17 years of her academic career towards research and teaching in the field of Electronics and Communication in well-reputed institutes like PEC University of Technology, Punjab University, Jaypee Institute of Information and Technology, Gautam Buddha University and Delhi Technological University, Delhi. During this academic tenure, she has guided 04 Ph.D. students and more than 50 M.Tech students. Her research interests mainly include Optical CDMA, Wireless Communication system, high-speed interconnect and IOT. She has also authored four books at the international and national level. Her three books i.e., " Green and Smart Technologies for Smart Cities", Handbook of Research on Big Data and the IoT" and Examining Cloud Computing Technologies through the Internet of Things," were published by CRC & IGI-Global, International Publisher of Progressive Information Science and Technology Research in 2019, 2018 and 2017 respectively. She also authored a national level book entitled Optical Communication,” which was published by Galgotia Publications. Apart from that Dr. Kaur contributed various book chapters in well-renowned publishers books i.e., IGI, Springer, CRC, etc. She has presented her research work as short courses/tutorials in many national and international conferences.

In recognition of her outstanding contribution as an active researcher, she received "Research Excellence Award" by Delhi Technological University in March 2020. She also received Bharat Vikas Award by Institute of Self Reliance in National Seminar on Diversity of Cultural and Social Environment at Bhubaneswar, Odisha, India & Prof. Indira Parikh 50 Women in Education Leader Award in World Education Congress, Mumbai, India in 2017. Her career accomplishments over the past sixteen years include over 90 peer-reviewed publications, including 60 journal publications, 35 conference publications, and over ten invited talks/seminars. Due to her pioneer research, her name is also listed in Whos Who in Science and Engineering Directory, USA and her biography was also published by International Biographic Center, Great Britain as 2000 Outstanding Scientists.

She also worked as a convener for two international conferences i.e. International ICIAICT 2012 which was organized by CSI, Noida Chapter and International conference EPPICTM 2012 which was held in collaboration with MTMI, USA, University of Maryland Eastern Shore, USA and Frostburg State University, USA at School of Information and Communication Technology, Gautam Buddha University, Greater Noida, India. Till date, she had delivered many expert talks on the emerging trends in optical for all domain applications at various universities and served as a reviewer of multiple journals like IEEE transactions on communication etc. Dr. Pradeep Tomar is working as Assistant Professor in the School of Information and Communication Technology, Gautam Buddha University, Greater Noida, U.P., India since 2009. Dr. Tomar earned his Ph.D. from MDU, Rohtak, Haryana, India. Before joining Gautam Buddha University, he worked as a Software Engineer in a multi-national company, Noida and lecturer in M. D. University, Rohtak, Haryana and Kurukshetra University, Kurukshetra, Haryana. Dr. Tomar has excellent teaching, research and software development experience as well as vast administrative experience at university level on various posts like HoD Computer Science and Engineering, Chairperson Admission, Vice Chairperson, Admissions, Research Coordinator, Examination Coordinator, University Coordinator, Admission, Time Table Coordinator, Proctor and Hostel Warden. He is also a member of Computer Society of India (CSI), Indian Society for Technical Education (ISTE), Indian Science Congress Association (ISCA), International Association of Computer Science and Information Technology (IACSIT) and International Association of Engineers (IAENG). He qualified the National Eligibility Test (NET) for Lecturership in Computer Applications in 2003, Microsoft Certified Professional (MCP) in 2008, SUN Certified Java Programmer (SCJP) for the Java platform, standard edition 5.0 in 2008 and qualified the IBM Certified Database Associate - DB2 9 Fundamentals in 2010.

Dr. Tomar was awarded Bharat Jyoti Award by India International Friendship Society in the field of Technology in 2012 and Bharat Vikas Award by Institute of Self Reliance in National Seminar on Diversity of Cultural and Social Environment at Bhubaneswar, Odisha, in 2017. He has been awarded for the Best Computer Faculty award by Govt. of Pondicherry and ASDF society. His biography is published in Whos Who Reference Asia, Volume II. Dr. Tomar has been awarded distinguished Research Award from Institute for Global Business Research for his work in "A Web-Based Stock Selection Decision Support System for Investment Portfolio Management in 2018. He delivered expert talks at FDP, workshops, national and international conferences. He has organized three conferences: one national conference with COMMUNE group and two international conferences, in which one international ICIAICT 2012 was organized by CSI, Noida Chapter and second international conference 2012 EPPICTM was organized in collaboration with MTMI, USA, University of Maryland Eastern Shore, USA and Frostburg State University, USA at School of Information and Communication Technology, Gautam Buddha University, Greater Noida, India.

Apart from teaching, he is running a programming club for ICT students and he is guiding various research scholars in the areas of software engineering, reusability of code, soft computing technique, Big Data, and IoT. His major current research interest is in Component-Based Software Engineering. He is working as Co-investigator in a sponsored research project in High throughput design, synthesis and validation of TALENs for targeted Genome Engineering, funded by Department of Biotechnology, Ministry of Science and Technology Government of India. Two books Teaching of Mathematics” and Communication and Information Technology” at national levels, three books Examining Cloud Computing Technologies through the Internet of Things (IoT)”, Handbook of Research on Big Data and the IoT”, Green and Smart Technologies for Smart Cities” at international level are authored and edited by Dr. Tomar. He has also contributed more than 100 papers/articles in national/international journals and conferences. He served as a member of the editorial board and reviewer for various Journals and national/international conferences. Dr. Marcus Tanque is a highly regarded principal technology advisor, senior cyber strategist, and an independent author. Marcus' expertise blends interdisciplinary areasadvanced, traditional, and emerging technologies. He is also a published technologist, researcher, and scholar with commended skills in various domainsIT governance, security analytics, policy, and strategic business practices. His professional skills encompass multidisciplinary research and development areas spanning digital technology, such as augmented analytics, machine learning, deep learning, quantum computing, and biometrics. Marcus' research interest involves policy management, blockchain, identity and access management, and decentralized Internet of Things devices and systems. Dr. Tanque has consulted to many government, public, and private customers. His consultative and technical contributions bridge, multifaceted traditional, mission-centric programs, and emerging technologies. Such technological solutions involve artificial intelligence, robotics, advanced analytics, cybersecurity, and the Internet of Things.

Dr. Tanque has supported complex enterprise projects amid science and technology management. His experience in business and scientific domains encompass IT engineering, program & project management, information security & assurance, and natural language processing. Marcus has conducted several studies in machine-to-machine & advanced database systems, computing, information systems, cognitive science/informatics. His research work merges cyber resilience, business intelligence, cybersecurity operations, risk management, cryptographic solutions, information management, and security policy. Dr. Tanque is a recipient of several academic awards, credentials, and professional letters of commendation.

Dr. Tanque is an active member of the Institute for Defense and Government Advancement, the Association for Computing Machinery, the Collegiate National Center for Academic Education, Committee on National Security Systems-Practice & Research, and the Institute of Electrical and Electronics Engineers. He has authored and edited scientific/technical books as well as articles on AI, ML, DL, data science, cloud, data analytics, full-spectrum cyber operations, Telecom, and related interdisciplinary areas. Marcus received a Ph.D. in Information Technology with a dual specialization in Information Assurance and Security, and an MS in Information Systems Engineering. In his spare time, he serves as an independent researcher/author, editorial review board member, and referee for several books, journal articles, and published chapters. Marcus enjoys coaching and mentoring others. He is an enthusiastic reader and researcher who inspires many in academic, professional, and social communities.