Interrelated smart technologies Books

Book SynopsisIf you're still wrestling with even simple identity problems like modern website authentication, this practical book has the answers you need. Author Phil Windley provides conceptual frameworks to help you make sense of all the protocols, standards, and solutions available and includes suggestions for where and when you can apply them.

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Book SynopsisIoT Product Design and Development Learn to incorporate IoT products into the process of building a product Internet of Things (or IoT) is currently one of the central building blocks of industry. It is the driving technology of the connected worldbe it smart cars, smart homes, smart factories, or smart cities. Industrial IoT (IIoT) is one of the most impactful areas of the global market, where it has fundamentally altered industries as varied as manufacturing, electronics, automotive, consumer goods, healthcare, and process industries like oil and gas, among others. As such, it is essential that engineers working in these fields improve their IoT knowledge to keep pace with this growing demand. IoT Product Design and Development offers an accessible entry point to the methods, techniques, and best practices necessary to add IoT onto an existing product or to build new IoT products wholesale. To accomplish this, the volume examines product design requiremeTable of ContentsAcknowledgments ix Preface xi Who Is This Book For? xii What Is Covered? xiii Chapter 1 Introduction to IoT 1 What Is IoT? 1 Why Is IoT Important? 3 Why Now? 5 Chapter 2 IoT and Digital Transformation 9 The Role of IoT in Modern Businesses 11 It’s an Integration Process: The Human Aspects of Digital Transformation 17 Chapter 3 Business Models and Market Analysis 23 Business and Industrial Market 23 Consumer Market 37 Connectivity Choice and Its Impact on ROI 49 Climate Change and Performance Per Watt 50 Data By-Products Beyond the Original IoT Application 51 Chapter 4 Security 57 Encryption Techniques 59 Software and Firmware Update Techniques 69 Key Management and Protection Against Known Threats 70 Security Attacks and Chain of Trust 71 Blockchain 77 Summary of Best Security Practices for IoT Systems 79 Networking Concepts 80 IoT Security Standards and Certificates 86 Chapter 5 IoT System Design Process and Main Components 95 Design and Deployment Process 95 Sensors 107 File Systems 114 Machine Learning 119 Networking and Communication System, Product Lifecycle, Device Management 136 Wireless Communication Protocols 144 Examples 155 IoT Systems Lifecycle 160 Chapter 6 The Process of Building a Data Product 163 What Personas Do You Need on Your Team? 165 Business Understanding 166 Data Understanding 167 Data Preparation 168 Modeling 169 Evaluation 171 Deployment 172 The Cycle Repeats – Crisp-DM 172 Chapter 7 Concluding Remarks 175 Further Reading 177 Index 179

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Book SynopsisYour relationships with your "smart" products are about to get a lot more personal.Think how commonplace it is now for people to ask Siri for the weather forecast, deploy Roomba to clean their homes, or summon Alexa to turn on the lights. The "smart home" market will reach well over $100 billion in the next five years on the promise of products that are truly integrated with our cooking, cleaning, entertainment, security, and hygiene habits.But the reality is, these first-generation "smart" products aren't very smart—yet. We're clearly seeing only the tip of the iceberg in terms of capability and how such products can enhance our lives. How do we take it to the next level?In a word, design—and more specifically, social design. In this fascinating and instructive book, leading product design expert Carla Diana describes how new technology is allowing designers to humanize consumer products in delightfully subtle ways. Showcasing vivid examples of social design principles such as "product presence," "object expression," and "interaction intelligence," we see how inventive uses of light, sound, and movement can evoke human responses to even the most mundane products. Diana offers clear guidelines and takeaways for conceptualizing, building, and optimizing products using such methods as bodystorming, scenario storyboarding, video prototyping, behavior charting, and more.My Robot Gets Me provides keen insights and practical advice to anyone interested or involved in the burgeoning smart marketplace, from product designers and developers to managers and venture capitalists.Trade Review"It is impossible to lay out all the lessons in My Robot Gets Me in a single article. I simply recommend that you pick up a copy and take the smart home design of your own home, or the design you offer customers, to the next level." — Residential Tech Today"If you've ever marveled at how and why your devices "just know" things or, conversely, why Alexa keeps doing that one thing that frustrates you as an individual so much, My Robot Gets Me is a worthwhile read." — Civil Engineering (The Magazine of The American Society of Civil Engineers)Advance Praise for My Robot Gets Me:"When it comes to shaping our robotic, 'smart object' future with new and thoughtful approaches to design, Carla Diana delivers in My Robot Gets Me, approaching the subject with both practical and emotional expertise, blending high-level analysis with useful examples. There's no better guide to what comes next—and how to get there." — Rob Walker, author, The Art of Noticing"You're not crazy if you treat your Roomba like a family member or routinely chastise Alexa. As Carla Diana masterfully demonstrates in My Robot Gets Me, when our social dynamic with technology is more in harmony with our human emotions, we form a deeper relationship with the product. Anyone involved in creating new products should embrace Diana's expert guidance on how to design with human-centric purpose and create products intimately responsive to our very human needs." — J. Kelly Hoey, author, Build Your Dream Network"Carla Diana gets to the heart of the symbiotic relationship we have with many of the 'smart' products we depend upon—which for a long time might have seemed weird when they were inanimate, but now, due to new technologies, they're becoming increasingly alive. As someone who's long had deep affection and respect for the many well-designed products in our environment, I can't help the sense that 'this books gets me.'" — John Maeda, technologist; author, How to Speak Machine; and Chief Customer Experience Officer, Everbridge"Carla Diana has always brought a different perspective to the world of technology and product design—and finally the world has caught up with her. Her unique insights into our personal relationships with digital products are deeply relevant (and resonant), whether we're designers or not. My Robot Gets Me is essential reading for anyone curious about why they feel compelled to say thank you to Alexa or why their smartphones make them feel so stupid." — Robert Fabricant, cofounder, Dalberg Design; coauthor, User Friendly

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Book SynopsisThis book shows latest research on the role Artificial inelegance in enabling IoT to evoke IoI, and how IoI flourish inside technologies like social media platforms, social networks: communities of practice/interest, to assure a globally sustainable unit where humans integrate with machines to collaboratively share ideas and solve complex problems. Such a book holds several benefits. It will reveal theoretical practical, and managerial implications through discussions that will embrace a wide array of technologies focused on the role of AI enabled IoT to evoke IoI. EAMMIS 2022 was organized by the Bridges Foundation in cooperation with Coventry University, UK on the 10th and 11th of June 2022. EAMMIS 2022 theme was From the Internet of Things to the Internet of Ideas: The role of Artificial Intelligence. The papers presented at the conference provide a holistic view of AI and its applications, IOT and the IOI which will help societies to better use and benefit from AI, IOT and IOI to develop future strategies and actions.

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Book SynopsisThis book provides an overview of the Internet of Things Network and Machine Learning and introduces Internet of Things architecture. It designs a new intelligent IoT network architecture and introduces different machine learning approaches to investigate solutions. It discusses how machine learning can help network awareness and achieve network intelligent control. It also dicusses the emerging network techniques that can enable the development of intelligent IoT networks. This book applies several intelligent approaches for efficient resource scheduling in networks. It discusses Mobile Edge Computing aided intelligent IoT and focuses mainly on the resource sharing and edge computation offloading problems in mobile edge networks. The blockchain-based IoT (which allows fairly and securely renting resources and establishing contracts) is discussed as well.The Internet of Things refers to the billions of physical devices that are now connected to and transfer data through the Internet without requiring human-to-human or human-to-computer interaction. According to Gartner's prediction, there will be more than 37 billion IoT connections in the future year of 2025. However, with large-scale IoT deployments, IoT networks are facing challenges in the aspects of scalability, privacy, and security. The ever-increasing complexity of the IoT makes effective monitoring, overall control, optimization, and auditing of the network difficult. Recently, artificial intelligence (AI) and machine learning (ML) approaches have emerged as a viable solution to address this challenge. Machine learning can automatically learn and optimize strategy directly from experience without following pre-defined rules. Therefore, it is promising to apply machine learning in IoT network control and management to leverage powerful machine learning adaptive abilities for higher network performance. This book targets researchers working in the Internet of Things networks as well as graduate students and undergraduate students focused on this field. Industry managers, and government research agencies in the fields of the IoT networks will also want to purchase this book.Table of ContentsIntroduction.- Intelligent Internet of Things Networking Architecture.- Intelligent IoT Network Awareness.- Intelligent Traffic Control.- Intelligent Resource Scheduling.- Mobile Edge Computing Enabled Intelligent IoT.- Blockchain Enabled Intelligent IoT.- Conclusions and Future Challenges.

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Book SynopsisThis book covers cutting edge advancements on self-powered Internet of Things, where sensing devices can be energy-positive while capturing context from the physical world. It provides new mechanisms for activity recognition without the need of conventional inertial sensors, which demand significant energy during their operation and thus quickly deplete the batteries of internet-of-things (IoT) devices. The book offers new solutions by employing energy harvesters as activity sensors as well as power sources to enable the autonomous and self-powered operation of IoT devices without the need of human intervention. It provides useful content for graduate students as well as researchers to understand the nascent technologies of human activity, fitness and health monitoring using autonomous sensors. In particular, this book is very useful for people working on pervasive computing, activity recognition, wearable IoT, fitness/healthcare and autonomous systems.This book covers a broad range of topics related to self-powered activity recognition. The main topics of this book include wearables, IoT, energy harvesting, energy harvesters as sensors, activity recognition and self-powered operation of IoT devices. This book starts with the introduction of wearable IoT devices and activity recognition and then highlights the conventional activity recognition mechanisms. After that, it describes the use of energy harvesters to power the IoT devices. Later, it explores the use of various energy harvesters as activity sensors. It also proposes the use of energy harvesters as simultaneous source of energy and context information and defines the emerging concept of energy-positive sensing compared to conventional energy-negative sensing. Finally, it explores sensor/signal fusion to enhance the performance using multiple energy harvesters and charts a way forward for future research in this area. This book covers all important and emerging topics that have significance in the design and implementation of autonomous wearable IoT devices. We believe that this book will lay the foundation for designing self-powered IoT devices which can ultimately replace the conventional wearable IoT devices which need regular recharging and replacement.Table of ContentsIntroduction.- Background.- Energy harvesting to power the IoT devices.- Energy harvesters as activity sensors.- Energy harvesters as a simultaneous source of energy and activity information.- Energy-Positive Activity Recognition.- Fusion of multiple energy harvesters.- Conclusion and Future Work.

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Book SynopsisThis book constitutes the refereed proceedings of the 5th Ibero-American Congress on Smart Cities, ICSC-Cities 2022, held in Cuenca, Ecuador during November 28–30, 2022. The 17 full papers included in this book were carefully reviewed and selected from 116 submissions. They were organized in topical sections as follows: computational intelligence and urban informatics for smart cities, Internet of things, optimization, smart production, and smart public services and smart monitoring and communicationsTable of ContentsComputational intelligence and urban informatics for smart cities.- Synthetic Dataset of Electroluminescence images of Photovoltaic cells by Deep Convolutional Generative Adversarial Networks.- Walking Accessibility to the Public Transport Network in Montevideo, Uruguay.- Artificial intelligence for automatic building extraction from urban aerial images.- Distribution of Police Patrols as a Covering Problem in Smart Cities: Fuengirola Use Case.- Super resolution generative adversarial network for velocity fields in Large Eddy Simulations.- Deep Neural Networks for Global Horizontal Irradiation Forecasting: A comparative study.- Internet of things.- IoT platform for monitoring nutritional and weather conditions of avocado production.- IoT system for thermography analysis of photovoltaic installations.- A new approach to automate the connectivity of electronic devices with an IoT Platform.- Optimization, smart production, and smart public services.- Lean Office approach for muda identification in the admission process of university students.- Smart mobility for public transportation systems: Improved bus timetabling for synchronizing transfers.- Classification of Polyethylene Terephthalate bottles in a recycling plant.- Synthesized data generation for public transportation systems.- Analysis of public transportation in Montevideo, Uruguay during the COVID-19 pandemic.- Big Data trends in the analysis of city resources.- Smart monitoring and communications.- Detecting air conditioning usage in households using unsupervised machine learning on smart meter data.- SNS-Based Secret Sharing Scheme for Security of Smart City Communication Systems.- Application of LPWAN technologies based on LoRa in the monitoring of water sources of the Andean wetlands.- Deep Neural Networks for Global Horizontal Irradiation Forecasting: A comparative study.

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Book SynopsisThis book constitutes the joint refereed proceedings of the 22nd International Conference on Internet of Things, Smart Spaces, and Next Generation Networks and Systems, NEW2AN 2022, held in Tashkent, Uzbekistan, in December 2022.The 58 regular papers presented in this volume were carefully reviewed and selected from 282 submissions. The papers of NEW2AN address various aspects of next-generation data networks, while special attention is given to advanced wireless networking and applications. In particular, the authors have demonstrated novel and innovative approaches to performance and efficiency analysis of 5G and beyond systems, employed game-theoretical formulations, advanced queuing theory, and machine learning. It is also worth mentioning the rich coverage of the Internet of Things, optics, signal processing, as well as digital economy and business aspects.Table of ContentsTangential shear stress in an oscillatory flow of a viscoelastic fluid in a flat channel.- Comparison of Finite Difference Schemes of Different Orders of Accuracy for the Burgers Wave Equation Problem.- Numerical solution of the combustion process using the computer package ANSYS fluent.- Simulation Modeling of Reliability of Packet Switching Unit.- Analytical Model for Assessing the Reliability of the Functioning of the Adaptive Switching Node.- Artificial intelligence software architecture in the field of cardiology and application in the cardio vessel project using CJM and customer development methods.- Using discretization and numerical methods of problem 1d-3d-1d model for blood vessel walls with Navier-Stokes.- Numerical simulation of a flow in a two-dimensional channel on the basis of a two-liquid turbulence model.- Application fuzzy neural network methods to detect cryptoattacks on financial information systems based on blockchain technology.- Method authentication of objects information communication systems.- TEDCTSSA: Trust Enabled Data Collection Technique based Sparrow Search Algorithm for WSN-based Applications.- ISTOA: An improved Sooty Tern Optimization Algorithm for multilevel threshold image segmentation.- Implementing digital transformation in the logistics system of Uzbekistan.- Numerical modeling of vertical axis wind turbines using ANSYS FLUENT software.- "i’ll wait 4 ur answr!” A Study on Modern Style of Cyber-Writing and User Reactions.- Improvement of information support in intelligent information energy systems.- The Assessment of the Effectiveness of the Development of Digital Technologies in Commercial Banks in Uzbekistan.- The Study of the Impact of the Digital Economy on the Growth of E-Government Services in Uzbekistan.- Deep learning algorithm for classifying dilated cardiomyopathy and hypertrophy cardiomyopathy in transport workers.- eCommerce benchmarking: theoretical background, variety of types, and application of competitive-integration benchmarking.- Cryptocurrencies as the money of the future.- A Data Security Technique Combining Asymmetric Cryptography and Compressive Sensing for IoT Enabled Wireless Sensor Networks.- Energy Efficient and Secure Scheme based Compressive Sensing method for Internet of Vehicles.- Impact of digital technologies on women’s employment.- The impact of digitalisation on the safe development of individuals in society.- Econometric Evaluation of the Efficiency of the Management of theEnterprise through the Supply of Raw Materials in Oil Enterprises in the Conditions of the Digital Economy.- The impact of digital infrastructure, foreign direct investment and trade openness on economic growth: In the case of Uzbekistan.- The impact of the financial ratios on the financial performance. A caseof Chevron Corporation (CVX).- The impact of the digitalisation of payment systems on the profitabilityof commercial banks.- The main aspects and benefits of digital transformation of business entities.- The influence of the capital structure of state enterprises on the profitability of the enterprise.- Exploring the development of China’s digital trade in the context of the domestic and international double cycle.- A systematic mapping study of using the cutting-edge technologies in marketing: the state of the art of four key new-age technologies.- Social Media Marketing for Educational Purposes: Goals, Objectivesand Content of the Training Course.- Digital Marketing and Smart Technology Marketing Systems as thefuture of metaverse.- The impact of the digital economy on the development of higher education.- What is the state-of-the-art contribution of the higher education system to the digital economy: a systematic mapping study on changes and challenges.- Innovating primary education of promoting students’ languagecompetencies through mobile assisted language learning approach: Selection framework of innovative digital technologies.- Econometric assessment of the dynamics of development of the export authority of small business and private business subjects in the conditions of the digital economy.- The significance of the Internet of Things for ensuring the smooth operation of network functions in fintech.- Impact of E-government on Poverty Rate: a Cross- Country Empirical Assessment.- An empirical investigation of the relationship between e-government development and multidimensional poverty.- On Digital Twin Software and Cyber Threats.- On local services based on non-standard Wi-Fi Direct usage model.- Compatibility analysis between 5G NR and ultra-wideband devices in the 6425-7125 MHz frequency band.- 6 GHz band sharing study for FWA base stations and GEO satellite receivers.- Federated Learning Strategies Over Wireless Channels.- Data Routing in UAV Networks with Multiple Data Sources using Steiner Tree.- Reduced complexity distributed arithmetic architecture for FIR filters.- Blockchain-driven Hybrid Model for IoT Authentication.- An Heuristic Approach for Mapping of Service Function Chains in Softwarized 5G Networks.- Multi-threshold hysteresis-Based Congestion Control for UAV-based Detection Sensor Network.- Analysis of the capacity gain of Probability Shaping QAM.- LoRa Mesh Network for Image Transmission: An Experimental Study.- Blockchain Technology – Innovation for Better Collaboration and Increased Efficieny. The U.S. Logistics and Trucking Industry Case.- Econometric Study of the Impact of the Digital Economy on the Gross Product in Anti-monopoly Conditions.- Predictive models for effective management of e- commerce in New Uzbekistan.- The role of IT on transportation, logistics and the economic growth among Central Asian countries.

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Book SynopsisThis book constitutes the refereed proceedings of the Third EAI International Conference on IoT and Big Data Technologies for Health Care, IotCARE 2022, which took place virtually during December 12-13, 2022.The 23 papers included in this volume were carefully reviewed and selected from 67 submissions. The papers are present newest results in big data technologies for e-health and for e-care. The papers are organized in the following topical sections: big data technologies for e-health; and big data technologies for e-care.Table of Contents​Big data technologies for e-health: A Review of Computer-Assisted Techniques Performances in Malaria diagnosis.- Research on Cloud Health Privacy Information Protection Algorithm Based on Data Mining.- Data Security Mining Method for Social Media Users’ Mental Health Status Test Based on Machine Learning Algorithm.- Early Warning Method of College Students Mental Subhealth Based on Internet of Things.- Automatic Assessment Method of College Students Psychological Stress Based on Medical Big Data.- Research on Medical Sensitive Data Protection Algorithm Based on Differential Privacy.- Classification and Storage Method of Medical Health Monitoring Data Based on Bayesian Algorithm.- Analysis on The Balance of Health Care Resource Allocation Based on Improved Machine Learning.- Data Acquisition Method of Human Injury in Sports Based on Internet of Things.- Big data technologies for e-care.- The Psychosocial Therapy Mode Intervened in the Emotion Management of Property Management Staff.- Personalized Recommendation Method of Maternal and Child Health Education Resources Based on Association Rule Mining Algorithm.- Methods of Integrating Ideological and political education into health management in Colleges and Universities Based on Internet of things technology.- Data Mining of Psychological Tendency and Health of Students in Ideological and Political Middle School Students in Tourism English Course in Higher Vocational Colleges Based on SVM.- Intelligent Imaging Method of Nuclear Magnetic Resonance Medical Devices Based on Compression Sensing.- Evaluation of Post Fitness of Employees in Health Care Enterprises Based on Big Data.- Design of Telemedicine and Health Care System Based on Embedded Technology.- Anomaly Detection Method of Healthcare Internet of Things Gateway Supporting Edge Computing.- Research on Fast Encryption of Electronic Health Record Data Based on Privacy Protection.- Research on Secure Storage of Healthcare Data in The Environment of Internet of Things.- Architecture of Wide Area Health Monitoring System.- Internet of Things Technologies in Healthcare for People with Hearing Impairments.- Artificial Intelligence-Based Early Warning Method forAbnormal Operation and Maintenance Data of Medical and Health Equipment.- Abnormal Signal Recognition Method of Wearable Sensor Based on Machine Learning.

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Book SynopsisToday, communication technology and computer engineering are intertwined, with advances in one field driving advances in the other, leading to the development of outstanding technologies. This book delves into the latest trends and breakthroughs in the areas of communication, Internet of things, cloud computing, big data, artificial intelligence, and machine learning.This book discusses challenges and opportunities that arise with the integration of communication technology and computer engineering. In addition, the book examines the ethical and social implications, including issues related to privacy, security, and digital divide and law. We have explored the future direction of these fields and the potential for further breakthroughs and innovations.The book is intended for a broad audience of undergraduate and graduate students, practicing engineers, and readers without a technical background who have an interest in learning about communication technology and computer engineering.Table of ContentsPart I: Communication Networks and Cybersecurity.- Enhancing the Performance of Cloud Environment by a Novel Three-Stage Task Scheduling Policy.- A new approach to coupled IR sensor based Real Time system for alerting old people accidents in Rest room.- Gesture Recognition Based Virtual Mouse And Keyboard.- IoV-based Application using Deep Learning Approach.- DDoS Attack Prediction using Decision Tree and Random Forest Algorithms.- The impact of Control Plane Attacks in Software Defined Networks Environments.- Compressed data aggregation using regulated duty cycle for WSN-IOT networks.- Improving Data Centre Power Efficiency by Applying the VM consolidation Approach.- Integration of a UHF Fractal Antenna into a 1U CubeSat for Low-Earth Orbit Mission.- A Novel & Innovative Blockchain-Empowered Federated Learning Approach for Secure Data Sharing in Smart city Applications.- Design and modelling of renewable energy sources using a partial power converter.- A qualitative study of the effects of socio-organizational factors on the information security culture of employees in a financial institution.- Part II: Embedded Systems and Smart Applications.- An Overview of Concentrated Photovoltaic Technology.- Electronic Prescription Service for Improved Healthcare Delivery.- A Review on Blockchain Smart Contract Applications.- Carbonic Acid Gas Emission Rating by Vehicles Using Datascience Techniques.- Robotics cyber security issues.- Part III: Computational Intelligence.- A comparative study of GANs (text to image GANs).- QCNN- A Conceptual Framework for Duplicate removal in Big Data using Quality assured Crowd sourcing coupled with Neural networks.- Design and Implementation of Camera-based Security System (CBSS) for Detecting Missing Persons.- Design and Implementation of a Secure Patient Recommender and Prediction System.- SDD: An Efficient Stacked Deep Learning Technique for Social Distance Detection.- Junk Mail Content Detection using Logistic Regression Algorithm.- Predicting Fish Habitat in the Persian Gulf Using Artificial Intelligence.- Evaluation of Text Classification using Support Vector Machine compare with Naive Bayes, Random Forest Decision Tree and K-NN.- Emotion AI.- Accuracy Prediction of Rainfall Using Decision Tree Algorithm and Random Forest.- Fraud detection using decision tree algorithm to curb identity theft.- Academic Performance Prediction using Machine learning algorithms.- Accuracy Of Water Quality Prediction Using Random Forest Regression and Artificial Neural Network.- Indian Sign Language Recognition System for Interrogative Words using Deep Learning.- New Approach of Artificial Intelligence in Digital Forensic Investigation: A Literature Review.- Comparative analysis of machine learning classifiers for plant leaf disease detection.- Effective House Price Prediction Using Machine Learning.- Colour Trend Analysis using Machine Learning and Histogram.- A new AI-based approach for Rental Tax Evasion Management in Iran (Ethical Consideration).- Bibliometric Analysis of Scientific Literature on Mental Health Research in Africa.- Multi-Modal Sentiment Analysis using Text and Audio for Customer Support Centers.- Comparative Analysis on the use of Teleconsultation using Support Vector Regression and Decision Tree Regression to Predict Patient Satisfaction.- COVID-19 in the UK: Sentiment and Emotion Analysis of Tweets Over Time.- Deep learning based sentiment analysis of customer reviews on hotels through tweets.- Diagnosis of Diabetes Type using Random Forest Algorithm and SVM for improving Accuracy.- Biometric Recognition Systems: A Short Survey.- Lung Histopathological Detection Using Image Classification.- A novel approach of Machine learning application in Astrophysics: Morphological feature wrapping based ensemble method for Galaxy shape classification using GAMA dataset.- Evaluating the Performance of a Hybrid Model for Classification of Bicycle Crash Severity and Identification of Associated Risk Factors.- Digital Transformations In Medical Applications Using Audio And Virtual Reality Procedures.- Part IV: Special Session 1 : Digital Transformation of Contemporary Business Practices.- A Review of Social Media Marketing on Digital Savvy Brand Shoppers.- Online Buying Behavior of UK University Students.- Factors Impacting A UK Based Software Business on International Expansion.- The Role of Blockchain Technology and Student Coin Case in Saudi Arabia's Higher Education Sector. The Challenge of Achieving 2030 Vision.- Part V: Special Session 2: Applications of Technology for Mental Health.- Research Protocol for a Preliminary Evaluation of a Gamified Tool for Adult Wellbeing.- Development and Evaluation of „Perspective: Counselling Simulator“: A Gamified Tool for Developing Risk-Assessment Skills in Trainee Counsellors.- Initial Evaluation of a Mobile Therapeutic Game for Adolescent Anxiety Disorders.- New Technologies and Interventions to Improve the Mental Health of People with Diabetes.- Help over harm: Practical and ethical considerations for the evaluation and deployment of therapeutic games.- Positive addiction recovery for an online audience: Implementation design and user evaluation.- A solution for creating dynamic networks of symptoms based on patients’ big data in cognitive-behavioral functional analysis and therapy – participatory design protocol.- Therapists’ attitudes towards the use of AI in therapeutic practice: considering the therapeutic alliance.

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Book SynopsisThe book is structured into thirteen chapters; each comes with its own dedicated contributions and future research directions. Chapter 1 introduces IoT and the use of Edge computing, particularly cloud computing, and mobile edge computing. This chapter also mentions the use of edge computing in various real-time applications such as healthcare, manufacturing, agriculture, and transportation. Chapter 2 motivates mathematical modeling for federated learning systems with respect to IoT and its applications. Further Chapter 3 extends the discussion of federated learning for IoT, which has emerged as a privacy-preserving distributed machine learning approach. Chapter 4 provides various machine learning techniques in Industrial IoT to deliver rapid and accurate data analysis, essential for enhancing production quality, sustainability, and safety. Chapter discusses the potential role of data-driven technologies, such as Artificial Intelligence, Machine Learning, and Deep Learning, focuses on their integration with IoT communication technologies. Chapter 6 presents the requirements and challenges to realize IoT deployments in smart cities, including sensing infrastructure, Artificial Intelligence, computing platforms, and enabling communications technologies such as 5G networks. To highlight these challenges in practice, the chapter also presents a real-world case study of a city-scale deployment of IoT air quality monitoring within Helsinki city. Chapter 7 uses digital twins within smart cities to enhance economic progress and facilitate prompt decision-making regarding situational awareness. Chapter 8 provides insights into using Multi-Objective reinforcement learning in future IoT networks, especially for an efficient decision-making system. Chapter 9 offers a comprehensive review of intelligent inference approaches, with a specific emphasis on reducing inference time and minimizing transmitted bandwidth between IoT devices and the cloud. Chapter 10 summarizes the applications of deep learning models in various IoT fields. This chapter also presents an in-depth study of these techniques to examine new horizons of applications of deep learning models in different areas of IoT. Chapter 11 explores the integration of Quantum Key Distribution (QKD) into IoT systems. It delves into the potential benefits, challenges, and practical considerations of incorporating QKD into IoT networks. In chapter 12, a comprehensive overview regarding the current state of quantum IoT in the context of smart healthcare is presented, along with its applications, benefits, challenges, and prospects for the future. Chapter 13 proposes a blockchain-based architecture for securing and managing IoT data in intelligent transport systems, offering advantages like immutability, decentralization, and enhanced security.Table of ContentsChapter. 1. Edge Computing for IoTChapter. 2. Federated Learning Systems: Mathematical modelling and Internet of ThingsChapter. 3. Federated Learning for Internet of ThingsChapter. 4. Machine Learning Techniques for Industrial Internet of ThingsChapter. 5. Exploring IoT Communication Technologies and Data-Driven SolutionsChapter. 6. Towards Large-Scale IoT Deployments in Smart Cities: Requirements and ChallengesChapter. 7. Digital Twin and IoT for Smart City MonitoringChapter. 8. Multiobjective and Constrained Reinforcement Learning for IoTChapter. 9. Intelligence Inference on IoT DevicesChapter. 10. Applications of Deep Learning models in diverse streams of IoTChapter. 11. Quantum Key Distribution in Internet of ThingsChapter. 12. Quantum Internet of Things for Smart HealthcareChapter. 13. Enhancing Security in Intelligent Transport Systems: A Blockchain-Based Approach for IoT Data ManagementIndex

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Book SynopsisThis book explores the significance, challenges and benefits of digital twin technologies; it focuses in particular on various architectures, applications and challenges in the implementation of digital twins to Machine Learning and Internet of Things capabilities. Through the analysis of smart city and smart manufacturing case studies, the book explores the benefits of digital technologies in the Industry 4.0 Era.

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Book SynopsisThe primary intention of composing this book is to offer a basis for automating agricultural fields using various sensors and transmitting the data to the cloud through the internet of things. This book supplies the fundamental knowledge required for programming and connecting devices to an IoT modem, as well as the essential steps for comprehending IoT and its application in the agricultural field. It serves as a useful resource for postgraduate and undergraduate engineering students, particularly those studying Electronics, Electrical, Mechatronics, Robotics, Mechanical, and Computer Science. The distinctive feature of this book is that it provides programming-based real-time project prototypes, which are based on the practical experiences of the authors while working on projects with students and industries.

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Book SynopsisIndustry 4.0 is used interchangeably with the fourth industrial revolution and represents a new stage in the organization asnd control of the industrial value chain. Cyber-physical systems form the basis of industry 4.0 (e.g., 'smart machines'). They use modern control systems, have embedded software systems, can be addressed via IoT (the Internet of Things), and may use extensive data analytics and/or articifical inteligence systems to operate autonomously.The aim of this book is to provide detailed insights into the state of art techniques in AI, IoT, Blockchain technology and associated technologies which play a vital role in the implementation of a successful project for upcoming and practicing engineers. Owing to its multidisciplinary nature, Industry 4.0 is not a single topic but a combination of a multitude of technologies from different domains. Keeping this in mind the book includes the following topics: Artificial intelligence Internet of things Blockchain technology Digital manufacturing Robotics Cybersecurity The book will be a comprehensive guide to academicians and engineers who want to align with recent trends of fourth industrial revolution.Table of Contents1. Artificial Intelligent in the Digital Chemical Industry, Its Application and Sustainability 2. Managing Transition Towards Industry 4.0: A Study on the Implementation of Digital Manufacturing Processes 3. Container as a Service in Cloud: An Approach to Secure Hybrid Virtualization 4. Automated Framework for Detecting Unknown Activity in a Vehicular ad hoc Network 5. Control of a Mobile Manipulator with Object Detection for EOD Applications 6. Smart Agriculture: Emerging and Future Farming Technologies 7. Plant Feature Extraction for Disease Classification 8. Development Methodologies for Internet of Things: For all Commercial and Industrial Needs 9. Bio-inspired Multilevel ICHB-HEED Clustering protocol for Heterogeneous WSNs 10. IoT Enabled by Edge Computing for Telecomm and Industry 11. Low Energy Network Protocols 12. Consensus Algorithms in Blockchain for Efficient and Secure Network 13. Blockchain Protocols and Algorithms 14. Cybersecurity in Autonomous Driving Vehicles

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Book SynopsisThe book discusses one of the major challenges in agriculture which is delivery of cultivate produce to the end consumers with best possible price and quality. Currently all over the world, it is found that around 50% of the farm produce never reaches the end consumer due to wastage and suboptimal prices. The authors present solutions to reduce the transport cost, predictability of prices on the past data analytics and the current market conditions, and number of middle hops and agents between the farmer and the end consumer using IoT-based solutions. Again, the demand by consumption of agricultural products could be predicted quantitatively; however, the variation of harvest and production by the change of farm's cultivated area, weather change, disease and insect damage, etc., could be difficult to be predicted, so that the supply and demand of agricultural products has not been controlled properly. To overcome, this edited book designed the IoT-based monitoring system to analyze crop environment and the method to improve the efficiency of decision making by analyzing harvest statistics. The book is also useful for academicians working in the areas of climate changes.Table of ContentsIoT: Foundations and Applications.- Functional Framework for IoT-based agricultural system.- Field monitoring and automation system.- Agriculture Sensor Network: Infrastructure, protocols and standards.- Implementation of sensors and RFID for disease and pest control.- Sensor-based Precision agriculture, Sensor data acquisition.

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Book SynopsisThis book reviews humanitarian literature and presents the development of low-cost track & trace management system integrated with accurate GPS location data pinging using Internet of Things (IoT). The first part relates to mobile device configuration with an embedded GPS and wireless Internet connection to transmit its current location. The second part presents web server implementation and development that receives the data, parses it, and stores it for access over the Internet. The third part discusses the user interface that allows one to visually identify the current location of the device.Table of ContentsDementia and intellectual disability and possible engineering solutions to improve quality of life Sensors and GPS Tracking devices for management of Medical conditions specially neurological disorders Low cost track and trace management system design Accurate GPS Location Data Pinging using Internet of Things. Solar Powered GPS Tracker Mobile communication and information transfer design

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Book SynopsisThe book is a collection of best selected research papers presented at the International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (ICMISC 2022) held during 28 – 29 March 2022 at CMR Institute of Technology, Hyderabad, Telangana, India. This book will contain the articles on current trends of machine learning, internet of things, and smart cities applications emphasizing on multi-disciplinary research in the area of artificial intelligence and cyber physical systems. The book is a great resource for scientists, research scholars and PG students to formulate their research ideas and find the future directions in these areas. Further, this book serves as a reference work to understand the latest technologies by practice engineers across the globe.Table of ContentsPrognostic Investigation into Melancholic Maladies in Hinterlands.- Security Threats in Healthcare Systems.- A Review on Behavioral Biometric GAIT Recognition.- Vital Role of 2D CNN in Brain Malignancy.- Design and Development of IoT based Intelligent Cattle Shed Management.- Review Paper on Technologies to curb Noise Pollution in No Honking Zones.- Radial Basis Neural Network Trained Minimum Snap Trajectory for Quadrotor.- Detection of Fraudulent Credit Card Transactions in Real-Time using SparkML and Kafka.- Robust and Scalable Network Monitoring System using Apache Spark.- Managing data protection and privacy on cloud.- Human Posture Monitoring.- Automation in Project Management 4.0 with Artificial Intelligence.- A state of art Approach to Question Generation Techniques.- Intelligent Information System for Detection of Covid-19 based on AI.- Plant Quality Assessment and Disease Identification System using AI.- Image-based Plant Disease Detection and classification using Deep Convolution Neural Network.

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Book SynopsisThis book comprises the proceedings of the 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2022). This book highlights high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers in this volume are peer-reviewed by experts in related areas. The book will serve as a valuable reference resource for academics and researchers across the globe.Table of ContentsAnalysis of Prevalence of Flat Foot in Primary School Children.- The development of advanced deep learning-based EoR Signal separation techniques.- An Integrated Deep Learning Deepfakes Detection Method (IDL-DDM).- Melanoma Detection Using Convolutional Neural Networks.- Reinforcement Learning Based Spectrum Sensing And Resource Allocation In WSN-IoT Smart Applications.- Planning and Construction of a Quantum Model of the SHA-1 Algorithm Using IBM’s Qiskit.- Machine Learning Based Path-loss Estimation Model for a 2.4 GHz ZigBee Network.- Heart Device for expectation of coronary illness utilizing Internet of Things.- An Extensive Study of Frequent Mining Algorithms for Colossal Patterns.- A Review Paper On Progressive Approach To Reduce Context Switching in Round Robin Scheduling Algorithm.- Transformer model for human activity recognition using IoT wearables.- Design and Development of a Chatbot for Personalized Learning in Higher Education.- Performance Evaluation of Concentric Hexagonal Array for Smart antenna applications.- Vegetation Change Detection of Multispectral Satellite Images Using Remote Sensing.- Performance evaluation of neural networks based virtual machine placement algorithm for server consolidation in cloud data centers.- Artificial Neural Network Based Fault Classification and Location Identification in Over Head Transmission Lines.- E-learning paradigm in Cloud computing and pertinent challenges in models used for cloud deployment.- Parkinson’s Disease Detection: Comparative Study Using Different Machine Learning Algorithms.- Implementation of Blockchain in Automotive Industry to Secure Connected Vehicle Data: Study and Analysis.- A Study of Comparison Between YOLOv5 and YOLOv7 for Detection of Cracks in Concrete Structures.- Machine Learning-Based Identification as well as Classification of Functional and Non-functional Requirements.- Expiry Date Detection on Product Packages with the Help of a Generalized Framework Using Fully Convolutional Networks.- Fake News Detection in Dravidian Languages using Transformer Models.- A Review on Artificial Intelligence Techniques for Multilingual SMS Spam detection.- Fusion of LBP and Median LBP for Dominant Region based Multimodal Recognition using Imperfect Face and Gait Cues.

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