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 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 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 SynopsisFrom smart sensors to cloud integration and the world of TinyML, this book is your comprehensive guide to the IoT ecosystem, using the ESP32 and industry-standard tools and technologies Key Features Build IoT projects from scratch using ESP32 Customize solutions, take them to cloud, visualize real-time data, implement security features Practice using a variety of hands-on projects such as an audio player, smart home, and more Book DescriptionESP32, a low-cost and energy-efficient system-on-a-chip microcontroller, has become the backbone of numerous WiFi devices, fueling IoT innovation. This book offers a holistic approach to building an IoT system from the ground up, ensuring secure data communication from sensors to cloud platforms, empowering you to create production-grade IoT solutions using the ESP32 SoC. Starting with IoT essentials supported by real-world use cases, this book takes you through the entire process of constructing an IoT device using ESP32. Each chapter introduces new dimensions to your IoT applications, covering sensor communication, the integration of prominent IoT libraries like LittleFS and LVGL, connectivity options via WiFi, security measures, cloud integration, and the visualization of real-time data using Grafana. Furthermore, a dedicated section explores AI/ML for embedded systems, guiding you through building and running ML applications with tinyML and ESP32-S3 to create state-of-the-art embedded products. This book adopts a hands-on approach, ensuring you can start building IoT solutions right from the beginning. Towards the end of the book, you'll tackle a full-scale Smart Home project, applying all the techniques you've learned in real-time. Embark on your journey to build secure, production-grade IoT systems with ESP32 today!What you will learn Explore ESP32 with IDE and debugging tools for effective IoT creation Drive GPIO, I2C, multimedia, and storage for seamless integration of external devices Utilize handy IoT libraries to enhance your ESP32 projects Manage WiFi like a pro with STA & AP modes, provisioning, and ESP Rainmaker framework features Ensure robust IoT security with secure boot and OTA firmware updates Harness AWS IoT for data handling and achieve stunning visualization using Grafana Enhance your projects with voice capabilities using ESP AFE and Speech Recognition Innovate with tinyML on ESP32-S3 and the Edge Impulse platform Who this book is forIf you are an embedded software developer, an IoT software architect or developer, a technologist, or anyone who wants to learn how to use ESP32 and its applications, this book is for you. A basic understanding of embedded systems, programming, networking, and cloud computing concepts is necessary to get started with the book.Table of ContentsTable of Contents Introduction to IoT development and the ESP32 platform Understanding the Development Tools Using ESP32 Peripherals Employing Third-Party Libraries in ESP32 Projects Project - Audio player Using Wi-Fi Communication for Connectivity ESP32 Security Features for Production-Grade Devices Connecting to Cloud Platforms and Using Services Project – Smart Home Machine Learning with ESP32 Developing on Edge Impulse Project – Baby Monitor

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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 SynopsisENACT is a research project funded by the European Commission under its H2020 program. The project consortium consists of twelve industry and research member organisations spread across the whole EU. The overall goal of the ENACT project was to provide a novel set of solutions to enable DevOps in the realm of trustworthy Smart IoT Systems. Smart IoT Systems (SIS) are complex systems involving not only sensors but also actuators with control loops distributed all across the IoT, Edge and Cloud infrastructure. Since smart IoT systems typically operate in a changing and often unpredictable environment, the ability of these systems to continuously evolve and adapt to their new environment is decisive to ensure and increase their trustworthiness, quality and user experience. DevOps has established itself as a software development life-cycle model that encourages developers to continuously bring new features to the system under operation without sacrificing quality. This book reports on the ENACT work to empower the development and operation as well as the continuous and agile evolution of SIS, which is necessary to adapt the system to changes in its environment, such as newly appearing trustworthiness threats.Table of Contents 1. Introduction 2. The ENACT Approach 3. Privacy Issues Control in Continuous Risk Management 4. Model-based Continuous Deployment of SIS 5. A DevOps Toolchain for Managing Actuation Conflicts in Smart IoT Systems 6. Online Reinforcement Learning for Self-Adaptive Smart IoT Systems 7. Security of Smart IoT Systems 8. Validation, Verification and Root-Cause Analysis 9. SIS-based eHealth application: the Tellu use case 10. Intelligent Transport System: the Indra Use Case 11. Smart Building: the Tecnalia KUBIK use case 12. Conclusion

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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 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 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 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 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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a huge range and FREE tracked UK delivery on ALL orders.

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