Electrical engineering Books

Book SynopsisThis book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model.Features: A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB) A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS) Formulation of the nonlinear model like analysis of ANOVA and response surface methodology Variety of solved problems on ANOVA and RSM Case studies of above mentioned intelligent techniques on the different process control systems<Table of ContentsPart A: Artificial Intelligence & Cognitive Computing : Theory &Concept 1. Introduction to AI. 2. Practical Approach of Fuzzy Logic Controller. 3. A Practical Approach to Neural Network Models. 4. Introduction to Genetic Algorithm. 5. Modeling of ANFIS (Adaptive Fuzzy Inference System) System. 6. Machine Learning Techniques for Cognitive Modeling Part B: Artificial Intelligence & Cognitive Computing : Practices 7. Parametric Optimization of N Channel JFET using Bio Inspired Optimization Techniques. 8. AI based Model of Clinical and Epidemiological Factors for COVID19. 9. Fuzzy Logic Based Parametric Optimization Technique of Electro Chemical Discharge Micro-Machining (µ-CDM) Process during Micro-Channel Cutting on Silica Glass. 10. Study of ANFIS model to Forecast the Average Localization Error (ALE) with Applications to Wireless Sensor Networks (WSN). 11. Performance Estimation of Photovoltaic Cell using Hybrid Genetic Algorithm & Particle Swarm Optimization. 12. Bio inspired Optimization based PID Controller Tuning for a Non-Linear Cylindrical Tank System. 13. A Hybrid Algorithm Based on CSO & PSO for Parametric Optimization of Liquid Flow model. 14. Modelling of Improved Deep Learning Algorithm for Detection of Type 2 Diabetes. 15. Human Activity Recognition (HAR), Prediction & Analysis using Machine Learning

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Book SynopsisDeepfakes is a synthetic media that leverage powerful Artificial Intelligence (AI) and machine learning (ML) techniques to generate fake visual and audio content that are extremely realistic, thus making it very hard for a human to distinguish from the original ones. Apart from technological introduction to the Deepfakes concept, the book details algorithms to detect Deepfakes, techniques for identifying manipulated content and identifying face swap, generative adversarial neural networks, media forensic techniques, deep learning architectures, forensic analysis of DeepFakes and so forth. Provides a technical introduction to DeepFakes, its benefits, and the potential harms Presents practical approaches of creation and detection of DeepFakes using Deep Learning (DL) Techniques Draws attention towards various challenging issues and societal impact of DeepFakes with their existing solutions Includes research analysis in the domain of DL fakes for assisting the creation and detection of DeepFakes applications Discusses future research directions with emergence of DeepFakes technology This book is aimed at graduate students, researchers and professionals in data science, artificial intelligence, computer vision, and machine learning.Table of Contents1. Introduction to DeepFake technologies 2. DeepFakes: A Systematic Review and Bibliometric Analysis 3. Deep Learning Techniques for Creation of DeepFakes 4. Analyzing DeepFakes Videos by face warping artifacts 5. Development of image translating model to counter Adversarial attacks 6. Detection of DeepFakes using local features and Convolutional Neural Network 7. DeepFakes: Positive Cases 8. Threats and challenges by DeepFake Technology 9. DeepFakes, media, and societal impacts 10. Fake News Detection using Machine Learning 11. Future of DeepFakes & Ectypes

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Book SynopsisSurface Guided Radiation Therapy provides a comprehensive overview of optical surface image guidance systems for radiation therapy. It serves as an introductory teaching resource for students and trainees, and a valuable reference for medical physicists, physicians, radiation therapists, and administrators who wish to incorporate surface guided radiation therapy (SGRT) into their clinical practice. This is the first book dedicated to the principles and practice of SGRT, featuring: Chapters authored by an internationally represented list of physicists, radiation oncologists and therapists, edited by pioneers and experts in SGRT Covering the evolution of localization systems and their role in quality and safety, current SGRT systems, practical guides to commissioning and quality assurance, clinical applications by anatomic site, and emerging topics including skin mark-less setups. Several dedicated chapters on SGRT Trade Review“This book provides comprehensive, technically orientated information of surface guided radiation therapy, a rapidly emerging technology in radiotherapy. Authored by medical physicists, radiation therapists, and radiation vendors, this book covers all aspects of surface guided radiation therapy, with the intention of this new technology being implemented clinically in a safe and efficient manner. The book will likely be of greatest interest to residents of medical physics and radiation oncology as a textbook to gain general knowledge in the field, as well as to medical physicists as a reference book when implementing this new technology clinically. It may also be of interest to administration professionals who are considering expanding clinical practice and would like a general overview. This book is a timely addition to radiotherapy literature with a comprehensive collection of information and knowledge that has been gained in this emerging new field. While there are many research publications about surface guided radiotherapy already, this is the first book that encompasses technical information related to current SGRT systems on the market.” —Shuying Wan, PhD (Sidney Kimmel Cancer Center-Thomas Jefferson University) in Doody’s Core Titles Review 2022. Table of ContentsContents Preface, xi Acknowledgments, xiii Contributors, xv Chapter 1 ◾ A History of Surface Guidance Methods in Radiation Therapy 1 Jeremy D. P. Hoisak and Todd Pawlicki Chapter 2 ◾ Safety and Quality Improvements with SGRT 25 Hania A. Al-Hallaq and Bill J. Salter Chapter 3 ◾ Technical Overview and Features of the C-RAD Catalyst™ and Sentinel™ Systems 51 Karl Rasmussen, Victoria Bry, and Nikos Papanikolaou Chapter 4 ◾ Technical Overview and Features of the Varian IDENTIFY ™ System 73 Raymond Schulz, Chris Huyghe, Lisa Hampton, Delena Hanson, Michael stead, and Thomas Speck Chapter 5 ◾ Technical Overview and Features of the Vision RT AlignRT® System 95 Benjamin Waghorn Chapter 6 ◾ Commissioning and Routine Quality Assurance of the C-RAD Catalyst™ and Sentinel™ 4D-CT Systems 117 Alonso N. Gutierrez and Dennis N. Stanley Chapter 7 ◾ Commissioning and Routine Quality Assurance of the Varian IDENTIFY ™ System 137 Hui Zhao and Adam B. Paxton Chapter 8 ◾ Commissioning and Routine Quality Assurance of the Vision RT AlignRT® System 157 Guang Li Chapter 9 ◾ Surface Guidance for Whole Breast and Partial Breast: Technical Aspects 187 Laura Padilla Chapter 10 ◾ Surface Guidance for Breast: Deep Inspiration Breath Hold 209 Xiaoli Tang Chapter 11 ◾ Breast Cancer Outcomes and Toxicity Reduction with SGRT 227 Orit Kaidar-Person, Icro Meattini, Marianne C. Aznar, and Philip Poortmans Chapter 12 ◾ Surface Guidance for Stereotactic Radiosurgery and Radiotherapy: Technical Aspects 239 Laura Cerviño and Grace Gwe-Ya Kim Chapter 13 ◾ Clinical Outcomes of Intracranial Surface-Guided Stereotactic Radiosurgery 255 Douglas a. rahn iii Chapter 14 ◾ Risk Analysis for SGRT-Based SRS/SRT 269 Ryan Manger Chapter 15 ◾ SBRT and Respiratory Motion Management Strategies with Surface Guidance 279 Michael J. Tallhamer Chapter 16 ◾ The Use of SGRT for SBRT without Respiratory Gating 303 Ryan Foster and John Heinzerling Chapter 17 ◾ Head and Neck 319 Bo Zhao Chapter 18 ◾ Surface Image Guidance for Treatment of Extremities 339 David p. Gierga Chapter 19 ◾ Application of SGRT in Pediatric Patients: The CHLA Experience 351 Arthur J. Olch, Alisha Chlebik, and Kenneth Wong Chapter 20 ◾ Skin Mark-Less Patient Setup: A Physicist’s Perspective 367 Vanessa Panettieri, Sandra Paul, and Catherine Russell Chapter 21 ◾ Tattoo/Skin Mark-Less Setups Using SGRT: A Radiation Therapist’s Perspective 391 Jacqueline Dorney Chapter 22 ◾ Introducing SGRT into the Clinic: A Radiation Therapist’s Perspective 399 Ellen Herron and Daniel Bailey Chapter 23 ◾ SGRT for Proton Therapy 421 Adam B. Paxton Chapter 24 ◾ Integration of Surface Imaging with Tomographic and Bore-Type Gantry Treatment Systems 437 Lu

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Book SynopsisEducators, are you ready to meet the challenge of cultivating the next generation of engineers in a post-COVID-19 context? Current engineering student cohorts are unique to their predecessors: they are more diverse and have experienced unprecedented disruption to their education due to the COVID-19 pandemic. They will also play a more significant role in contributing to global sustainability efforts. Innovating engineering education is of vital importance for preparing students to confront societyâs most significant sustainability issues: our future depends on it. Advancing Engineering Education Beyond COVID: A Guide for Educators offers invaluable insights on topics such as implementing active-learning activities in hybrid modes; developing effective and engaging online resources; creating psychologically safe learning environments that support academic achievement and mental health; and embedding sustainability within engineering education. Studentsâ own perspectives of online learning are also incorporated, with the inclusion of a chapter authored by undergraduate engineering students. This book consolidates the expertise of leading authorities within engineering education, providing an essential resource for educators responsible for shaping the next generation of engineers in a post-COVID-19 world.

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Book SynopsisThe text comprehensively discusses the essentials of the Internet of Things (IoT), machine learning algorithms, industrial and medical IoT, robotics, data analytics tools, and technologies for smart cities. It further covers fundamental concepts, advanced tools, and techniques, along with the concept of energy-efficient systems. It also highlights software and hardware interfacing into the IoT platforms and systems for better understanding. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. Features: Covers cognitive Internet of Things and emerging network, IoT in robotics, smart cities, and health care Discusses major issues in the field of the IoTsuch as scalable and secure issues, energy-efficient, and actuator devices Highlights the importance of Table of ContentsChapter 1 Cyber Security Control Systems for Operational TechnologyS.SRIRAM Chapter 2 Cyber Security Ecosystem and Essentials for Modern Technology World Dr.S.S. Aravinth, K.Venkata Rama Bhagavath, Kothalanka kavyasri, Dr.J. Senthilkumar Chapter 3 Smart Manufacturing in Industry 4.0 using Computional IntelligenceDr G REVATHY, Dr K SELVAKUMAR Chapter 4 Heterogeneous Data Management in IoT based Healthcare Systems Geetanjali Kale, Kalyani Waghmare Chapter 5 Comparative study on SMS spams message detection with different machine learning methods for safety communicationN.Krishnamoorthy, Suresh Muthusamy, Seyedali Mirjalili, M.Vignesh, R.Vishnuhari, S.K.Sanjeev Raja Chapter 6 An Optimal More Than One Stage (MTOS) Authentication Model to ensure the Security in Cloud ComputingN.Krishnamoorthy, Suresh Muthusamy, K.Nirmala Devi, Seyedali Mirjalili, Essam H.Houssein, Hitesh Panchal Chapter 7 Robotic Harvesters for Strawberry and AppleAman Mahore, Abhishek Patel, Mohit Kumar, Rohit Nalawade, Kanupriya Choudhary Chapter 8 Scalability and Security Requirements for the Internet of Thing ArchitectureDr.P. Deivendran, Dr. S.Ilaiyaraja, Dr. S. Selvakanmani, Dr. K. S. Raghuram, Chapter 9 Applying Fuzzy Logics to Detect Reliable Sensors on IOTDr.M.S.Nidhya, Dr.M.Prasad, Dr.MD.Javeed Ahamed, Dr.Shaik.Bajidvali Chapter 10 Data analytics techniques and tools in smart city applicationsP.Velmurugan, M.Varsha, A.Kannagi, K. Velusamy Chapter 11 Machine learning algorithms for IoT applications Dr. R. Kavitha, Adlin Jebakumari S, Dr. K. Saravanan, K Velusamy Chapter 12 Application of IoT in smart citiesShubhangi P Chapter 13 Novel Vocal Bio maker based Biosignal Acquisition, Analysis and Diagnosis systemArchana Ratnaparkhi, Gauri Ghule, Pallavi Deshpande, Rohini Chavan, Shraddha Habbu Chapter 14 Leveraging Health Care Industry through Medical IoT- its Implementation and case studies within IndiaMr.Mohamed ABuBasim, Dr.SKaliappan, Dr.V.Shanmugasundaram , Dr.Muthukumar.S Chapter 15 Energy Efficuent Archtectures for IoT ApplicationsDr. Smrity Dwivedi, Chapter 16 Exploring Robotics Technology for Healthcare ApplicationsSwagat Kumar Samantaray Chapter 17 Design Principles, Modernization and techniques in Artificial Intelligence for IoT: Advance Technologies, Development and ChallengesP Radhika Ravi, Dr. S.Sarumathi, Ravi Ramaswamy

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Book SynopsisImage processing and machine learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, machine learning algorithms are used to interpret the processed data through classification, clustering, and object detection. This book serves as a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of some of the most prevalent image processing methods and approaches.Divided into two volumes, this first installment explores the fundamental concepts and techniques in image processing, starting with pixel operations and their properties and exploring spatial filtering, edge detection, image segmentation, corner detection, and geometric transformations. It provides a solid foundation for readers interested in understanding the core principles and practical applications of image prTable of ContentsPreface Volume 1. 1. Pixel Operations. 2. Spatial Filtering. 3. Edge Detection. 4. Segmentation and Processing of Binary Images. 5. Corner Detection. 6. Line Detection. Index.

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Book SynopsisThis book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached its maturity. The book starts with the basic concepts of data science. It highlights the types of data and their use and importance, followed by a discussion on a wide range of applications of data science and widely used techniques in data science.Key Featuresâ Provides an internationally respected collection of scientific research methods, technologies and applications in the area of data science.â Presents predictive outcomes by applying data science techniques to real-life applications.â Provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods.â Gives the reader a variety of intelligent applications that can be designed using data science and its allied fields.The book is aimed primarily at advanced undergraduates and graduates studying machine learning and data science. Researchers and professionals will also find this book useful.

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Book SynopsisNatural Language Processing (NLP) is a sub-field of Artificial Intelligence, linguistics, and computer science and is concerned with the generation, recognition, and understanding of human languages, both written and spoken. NLP systems examine the grammatical structure of sentences as well as the specific meanings of words, and then they utilize algorithms to extract meaning and produce results. Machine Learning and Deep Learning in Natural Language Processing aims at providing a review of current Neural Network techniques in the NLP field, in particular about Conversational Agents (chatbots), Text-to-Speech, management of non-literal content like emotions, but also satirical expressions and applications in the healthcare field.NLP has the potential to be a disruptive technology in various healthcare fields, but so far little attention has been devoted to that goal. This book aims at providing some examples of NLP techniques that can, for example, restTable of ContentsPreface. Editors. Contributors. Part I Introduction. Chapter 1 Introduction to Machine Learning, Deep Learning, and Natural Language Processing. Part II Overview of Conversational Agents. Chapter 2 Conversational Agents and Chatbots: Current Trends. Chapter 3 Unsupervised Hierarchical Model for Deep Empathetic Conversational Agents. Part III Sentiment and Emotions. Chapter 4 EMOTRON: An Expressive Text-to-Speech. Part IV Fake News and Satire. Chapter 5 Distinguishing Satirical and Fake News. Chapter 6 Automated Techniques for Identifying Claims and Assisting Fact Checkers. Part V Applications in Healthcare. Chapter 7 Whisper Restoration Combining Real- and Source-Model Filtered Speech for Clinical and Forensic Applications. Chapter 8 Analysis of Features for Machine Learning Approaches to Parkinson’s Disease Detection. Chapter 9 Conversational Agents, Natural Language Processing, and Machine Learning for Psychotherapy. INDEX.

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Book SynopsisAt present, both Industry 4.0 and industrial engineering management developments are reshaping the industrial sector worldwide. Industry 4.0 and sustainability are considered as the crucial emerging trends in industrial production systems. The resulting transformations are changing production modes from traditional to digital, intelligent, and decentralized. It is expected that Industry 4.0 will help drive sustainability in industries thanks to the implementation of advanced technology and a move towards social sustainability. This book reflects on the consequences of the transition to Industry 4.0 for climate change. The book presents a systemic overview of the current negative impacts of digitization on the environment and showcases a new outline of the energy domain and expected changes in environmental pollution levels under Industry 4.0. It also analyzes the ecological consequences of the growth and development of Industry 4.0 and considers Industry 4.0 as an alternativeTable of Contents1 Optimization of milling machine parameters by using Artificial Neural Network model; 2 Facility layout optimization: Continuous improvement; 3 Multi-criteria decision analysis applications and trends in manufacturing domain; 4 To implement Six Sigma to minimize defects in the manufacturing of draft gear of railway wagon; 5 Changeover time reduction through SMED approach: Case study of an Indian steel processing centre; 6 SWOT analysis – on maintenance frameworks for SMEs; 7 Development of maintenance framework for SMEs by an ISM approach; 8 Multi-objective parametric optimization of wire electric discharge machining for Die Hard Steels using supervised machine learning techniques; 9 Investigation of dragline productivity; 10 Lean administration in the Order-to-Cash process; 11 Modelling and analysis of Lean Six Sigma framework along with its environmental impact on the business process: A review; 12 Optimum order allocation in a multi-supplier environment using linear programming model: Case study on heavy industry in India; 13 Formulation of an optimal ordering policy with quadratic demand: Weibull distribution deterioration and partial backlogging; 14 An optimal replenishment policy with exponential declining demand: Weibull distribution deterioration and partial backlogging; 15 Smart materials advancements, applications and challenges in the shift to Industry 4.0; 16 Virtual Try On: A study on the changing dimensions of jewellery retailing through augmented reality; 17 Analysis of the barriers of blockchain adoption in Land Record System; 18 The concept of Industry 4.0: Role of ergonomics and Human Factors; 19 Carbon Nanotubes as an advanced coating material for cutting tool in sustainable production in Industry 4.0; 20 Integrating AI with Green Manufacturing for process industry; 21 Sustainable recycling methods for different types of eco-friendly cutting fluids and their characteristics: An impetus for circular economy; 22 Sustainable automobiles: Major obstacles on the path of electrifying mobility in India, existing barriers and challenges; 23 Development of heuristic DSS for supply chain architecture

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Book SynopsisAmidst the rampant use of algorithmization enabled by AI, the common theme of AI systems is the human factor. Humans play an essential role in designing, developing, and operationalizing AI systems. We have a remit to ensure those systems run transparently, perform equitably, value our privacy, and effectively fulfill human needs. This book takes an interdisciplinary approach to contribute to the ongoing development of humanAI interaction with a particular focus on the human dimension and provides insights to improve the design of AI that could be genuinely beneficial and effectively used in society. The readers of this book will benefit by gaining insights into various perspectives about how AI has impacted people and society and how it will do so in the future, and understanding how we can design algorithm systems that are beneficial, legitimate, usable by humans, and designed considering and respecting human values. This book provides a horizontal set of guidelines and insight inTrade Review"Don Shin has written a must-read primer for anyone considering human-AI interaction. Read this book - and learn from one of the best." -- Kerk Kee, Professor, Texas Tech University, USA"This book is a rigorous review of the field of human-algorithm interactions. It provides a guide to understanding the dynamics of AI in human contexts by addressing meaningful questions—How do humans and AI interact? How is AI shaping our understanding of ourselves and our societies? How do we bridge the gap between ethical considerations and practical realities to make responsible, reliable systems? This book is to find a way to empower humans by making AI design choices that allow them meaningful control over AI. Designing meaningful AI experiences has garnered great attention to address responsibility gaps and mitigate them by establishing conditions that enable a proper attribution of responsibility for humans." --Yujong Hwang, Professor, DePaul University, USA"As a prolific author and researcher, Don Shin offers an authoritative account of algorithms in interaction with people. Instead of speculative anecdotal stories, the readers get systematically and empirically grounded projections of the interplay between AI and human—how AI emerges as a powerful determinant of our cultural, economic and social lives. His research in this book is exemplary, inspiring, and interesting, speaking to multifaceted issues but with one underlying concern about the future role of AI." --Yong Jin Park, Author The Future of Digital Surveillance, Howard University and BKC Harvard UniversityTable of Contents1. Algorithmic Experience 2. Algorithmic Awareness 3. Algorithmic Nudge 4. Algorithmic Credibility 5. Algorithmic Bias 6. Explainable Algorithms 7. Algorithmic Journalism 8. Human-Centered AI

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Book SynopsisBy proposing and forming a mobile manipulator for modern multi-floor buildings, A Robotic Framework for the Mobile Manipulator: Theory and Application helps readers visualize an end-to-end workflow for making a robot system work in a targeted environment. From a product-oriented viewpoint, this book is considered as a bridge from theories to real products, in which robotic software modules and the robotic system integration are mainly concerned. In the end, readers will have an overview of how to build and integrate various single robotic modules to execute a list of designed tasks in the real world, as well as how to make a robot system work independently, without human interventions. With references and execution guidelines provided at the end of each chapter, the book will be a useful tool for developers and researchers looking to expand their knowledge about the robotics and the robotic software.Table of Contents1. Introduction 2. Task-Oriented Robot System Proposal 3. Robot System Analysis 4. Mobile Robot Navigation 5. Manipulator Manipulation 6. Robot Perception 7. Robot System Integration

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Book SynopsisThe book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection.Features: Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computing Covers deep learning algorithms in computer vision Showcases novel solutions such as multi-resolution analysis in imaging processing, and metaheuristic algorithms for tackling challenges associated with image processing Highlight optimization problems such as image segmentation and minimized feature design vector Presents platform and simulation tools for image processing and segmentation The book aims to get the readers familiar with the fundamentals ofTable of ContentsChapter 1 A Review Approach on Deep Learning Algorithms in Computer VisionChapter 2 Object Extraction from Real Time Color Images Using Edge Based ApproachChapter 3 Deep Learning Techniques for Image Captioning Chapter 4 Deep Learning Based Object Detection for Computer Vision Tasks: A Survey of Methods & Applications Chapter 5 Deep Learning Algorithms for Computer Vision: A Deep Insight into Principles and Applications Chapter 6Handwritten Equation Solver Using Convolutional Neural Network Chapter 7Agriware: Crop Suggester System by Estimating the Soil Nutrient Indicators Chapter 8A Machine Learning Based Expeditious Covid-19 Prediction Model Through Clinical Blood Investigations Chapter 9Comparison of Image Based and Audio Based Techniques for Bird-Species Identification Chapter 10Detection of Ichthyosis Vulgaris Using SVM Chapter 11Chest X-Ray Diagnosis and Report Generation: Deep Learning Approach Chapter 12Deep Learning Based Automatic Image Caption Generation for Visually Impaired People Chapter 13Empirical Analysis of Machine Learning Techniques Under Class Imbalance and Incomplete DatasetsChapter 14 Gabor Filter As Feature Extractor in Anomaly Detection from Radiology Images Chapter 15Discriminative Features Selection from Zernike Moments for Shape Based Image Retrieval SystemChapter 16Corrected Components of Zernike Moments for Improved Content Based Image Retrieval: A Comprehensive StudyChapter 17Translate And Recreate Text in An Image Chapter 18Multi-Label Indian Scene Text Language Identification: Benchmark Dataset and Deep Ensemble BaselineChapter 19AI Based Wearables for Healthcare Applications: A Survey of Smart Watches Chapter 20Nature Inspired Computing for Optimization Chapter 21Automated Smart Billing Cart for Fruits

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Book SynopsisCloud-based Intelligent Informative Engineering for Society 5.0 is a model for the dissemination of cutting-edge technological innovation and assistive devices for people with physical impairments. This book showcases Cloud-based, high-performance Information systems and Informatics-based solutions for the verification of the information support requirements of the modern engineering, healthcare, modern business, organization, and academic communities.Features: Includes broad variety of methodologies and technical developments to improve research in informative engineering Explore the Internet of Things (IoT), blockchain technology, deep learning, data analytics, and cloud Highlight Cloud-based high-performance Information systems and Informatics-based solutions This book is beneficial for graduate students and researchers in computer sciences, cloud computing and related subject areas.

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Book SynopsisArtificial Intelligence and Deep Learning for Computer Network: Management and Analysis aims to systematically collect quality research spanning AI, ML, and deep learning (DL) applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also aspires to provide more insights on the applicability of the theoretical similitudes, otherwise a rarity in many such books.Features: A diverse collection of important and cutting-edge topics covered in a single volume Several chapters on cybersecurity, an extremely active research area Recent research results from leading researchers and some pointers to future advancements in methodology Detailed experimental results obtained from standard data sets This book serves as a valuable reference book for students, researchers, and practitioners who wish to study and get acquainted with the application of cutting-edge AI, ML, and DL techniques to network management and cyber security.

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Book SynopsisThis book offers a thorough exploration of the three-dimensional integration of resistive memory in all aspects, from the materials, devices, array-level issues, and integration structures to its applications. Resistive random-access memory (RRAM) is one of the most promising candidates for next-generation nonvolatile memory applications owing to its superior characteristics including simple structure, high switching speed, low power consumption, and compatibility with standard complementary metal oxide semiconductor (CMOS) process. To achieve large-scale, high-density integration of RRAM, the 3D cross array is undoubtedly the ideal choice. This book introduces the 3D integration technology of RRAM, and breaks it down into five parts:1: Associative Problems in Crossbar array and 3D architectures;2: Selector Devices and Self-Selective Cells; 3: Integration of 3D RRAM; 4: Reliability Issues in 3D RRAM; 5: Applications of 3D RRAM beyond Storage.The book aspires to provide a relevant reference for students, researchers, engineers, and professionals working with resistive random-access memory or those interested in 3D integration technology in general.

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Book SynopsisThe tenth edition of Hall and Greeno''s leading textbook has been reviewed and updated in relation to the latest building, wiring and water regulations, new technology and new legislation. For this edition, new updates include electric vehicle charging, overheating in buildings, waste water treatment, energy performance certification, mechanical ventilation, food waste recycling, electro-magnetic lifts, biogas processing and much more.Building Services Handbook summarises the application of all common elements of building services practice, technique and procedure to provide an essential information resource for students as well as practitioners working in building services, building management and the facilities administration and maintenance sectors of the construction industry. Information is presented in a highly illustrated and accessible style.The comprehensive reference for all construction and building services students, Building Services Handbook Table of Contents1. Introduction 2. Cold Water Supply Systems 3. Hot Water Supply Systems 4. Heating Systems 5. Fuel Characteristics and Storage 6. Ventilation Systems 7. Air Conditioning 8. Drainage Systems, Sewage Treatment and Refuse Disposal 9. Sanitary Fitments and Appliances: Discharge and Waste Systems 10. Gas Installation, Components and Controls 11. Electrical Supply and Installations 12. Mechanical Conveyors - Lifts, Escalators and Travelators 13. Fire Prevention and Control Services 14. Security Installations 15. Accommodation for Building Services 16. Alternative and Renewable Energy 17. Appendices: Glossary of Common Abbreviations; Graphical Symbols for Pipe Work; Identification of Pipe Work; Graphical Symbols for Electrical Installation Work; Metrication, Introduction, Background and Development; Conversion of Common Imperial Units to Metric; Notation on Building Services Drawings

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Book Synopsis This book has been developed with an intellectual framework to focus on the challenges and specific qualities applicable to graduates on the threshold of their careers. Young professionals have to establish their competence in complying with multifaceted sets of ethical, environmental, social, and technological parameters. This competence has a vital impact on the curricula of higher education programs, because professional bodies today rely on accredited degrees as the main route for membership. Consequently, this four-part book makes a suitable resource for a two-semester undergraduate course in professional practice and career development in universities and colleges. With its comprehensive coverage of a large variety of topics, each part of the book can be used as a reference for other related courses where sustainability, leadership, systems thinking and professional practice are evident and increasingly visible.FeaturTable of Contents1. Composite Professional. 2. Professionalism in Practice. 3. Legal Systems Relevant to Engineering and Information Technology. 4. Leadership Practice.5. Effective Communication Skills. 6. Professional Practice in Reflection. 7. Creativity and Innovation. 8. Engineering Risk and Safety in Engineering Desi n. 9. Sustainable Design. 10. Contemporary Issues in Management. 11. Digital Transformation and AI. 12. Career Development

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Book SynopsisThis book explores different facets of millimeter wave systems, which form a central part of 5G systems. It explains how these systems serve as a foundational building block of 5G-Advanced/6G as these systems evolve.Millimeter Wave Communications in 5G and Towards 6G focuses on millimeter wave channel modeling, radio frequency (RF) and antenna level constraints imposed on beamforming, beamforming design for link level incorporating the RF/antenna constraints and the channel structure, as well as system level deployment considerations. With significant academic and industrial experience, the authors are well-equipped in explaining how the millimeter wave research developed, the fundamental principles/math beneath the technology, and in explaining precisely the Why? behind the What? that make the 5G-NR specifications. The authors examine point-to-point systems at a single link level and show how the traditional sub-6 GHz-based beamforming procedures simplify to a simplis

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Book SynopsisAIoT: Artificial Intelligence of Things explores the integration of Artificial Intelligence (AI) into everyday objects and devices to allow them to analyze data, make decisions, and communicate with each other, which leads to improved efficiency, convenience, and new possibilities in various aspects of daily life.With a wide-ranging scope, the book covers various aspects of AIoT from fundamental concepts to advanced applications. It begins with an introduction to AI, IoT, and their synergistic relationship and explains how AI technologies enhance the capabilities of IoT devices. The book then explores the key components of AIoT, including sensors, connectivity, data processing, and machine learning algorithms. Highlights include: Edge computing and AIoT Privacy and security in AIoT AIoT applications in such domains as healthcare, finance, and manufacturing. Smart cities and AIoT AIoT and wearables Ethical conside

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

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Book SynopsisThe first of its kind, this comprehensive resource explains the fundamental physics of semiconductor nanolasers along with details of their design, fabrication, and applications. This is essential reading for graduate students, researchers, and professionals in optoelectronics, applied photonics, physics, and materials science.Trade Review'For many years, photonics has sought to emulate the enormous success of electronics in miniaturizing devices - specifically with the aim of creating photonic integrated circuits. Nanolasers are strong potential candidates for the role of optical source in photonic integrated circuits. This excellent book provides the first in-depth description of the challenges faced in creating such lasers … It is anticipated that this book will help accelerate the creation of photonic integrated circuits and sensors based on nanolasers.' K. Alan Shore, Optics and Photonics News'This introduction to the growing literature on nanolaser is self-contained, and sufficiently user-friendly. … Although not conceived as a textbook, parts of the monograph would be suitable for courses in photonics or quantum electronics. … The authors are experts in this topical area and also have produced a substantial body of collaborative work. That history may well be at the heart of the impressive thematic, conceptual, and editorial coherence of the text.' Richard F. Haglund, Jr, MRS BulletinTable of Contents1. Introduction; 2. Photonic mode metal-dielectric-metal based nanolasers; 3. Purcell effect and the evaluation of Purcell and spontaneous emission factors; 4. Plasmonic mode metal-dielectric-metal based nanolasers; 5. Antenna-inspired nano-patch lasers; 6. Active medium for semiconductor nanolasers: MQW vs. bulk gain; 7. Electrically pumped nanolasers; 8. Multi-physics design for nanolasers; 9. Cavity-free nanolaser; 10. Beyond nanolasers: inversionless exciton-polariton microlaser; 11. Application of nanolasers: photonic integrated circuits and other applications.

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Book SynopsisDistributed optical fiber sensors (DOFS) are capable of revealing information about temperature, strain, vibration, pressure, or magnetic field from anywhere along the fiber. This book explains their physical principles, unique benefits, broad categories, implementation aspects, and performance criteria. Trade Review"The most authoritative account available of an important and ever expanding technology. The text encompasses basic principles, established and emerging application and insights into ongoing development. It will appeal to the student as well as the practising engineer and also presents insight into current and prospective applications…promises to become the essential reference text for many years to come!" –From the Foreword by Prof. Brian Culshaw, University of Strathclyde,GlasgowTable of ContentsIntroduction. Principles. Raman based distributed temperature sensors. Distributed strain sensors. Distributed vibration sensors. Other distributed sensors. Conclusions and outlook.

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Book SynopsisConsolidating recent research in the area, the Handbook on Mobile and Ubiquitous Computing: Status and Perspective illustrates the design, implementation, and deployment of mobile and ubiquitous systems, particularly in mobile and ubiquitous environments, modeling, database components, and wireless infrastructures.Supplying an overarching perspective, the book is ideal for researchers, graduate students, and industry practitioners in computer science and engineering interested in recent developments in mobile and ubiquitous computing. It discusses new trends in intelligent systems, reviews sensory input and multimedia information, and examines embedded real-time systems. With coverage that spans security, privacy, and trust, the book is divided into six parts: Mobile and Ubiquitous Computingâillustrates the concepts, design, implementation, and deployment of mobile and ubiquitous systems Smart Environments and Agent SystemsâdiscTable of ContentsMobile and Ubiquitous Computing. Smart Environments and Agent Systems. Human–Computer Interaction (HCI) and Multimedia Computing. Security, Privacy, and Trust Management. Embedded Real-Time Systems. Networking Sensing and Communications.

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Book SynopsisTechnical Writing: A Practical Guide for Engineers, Scientists, and Nontechnical Professionals, Second Edition enables readers to write, edit, and publish materials of a technical nature, including books, articles, reports, and electronic media. Written by a renowned engineer and widely published technical author, this guide complements traditional writer's reference manuals on technical writing through presentation of first-hand examples that help readers understand practical considerations in writing and producing technical content. These examples illustrate how a publication originates as well as various challenges and solutions.The second edition contains new material in every chapter including new topics, additional examples, insights, tips and tricks, new vignettes and more exercises. Appendices have been added for writing checklists and writing samples. The references and glossary have been updated and expanded. In addition, a focus on writing for the nontechniTrade Review"Overall the book provides practical, actionable, information that can be used to improve anyone’s writing skills – technical or nontechnical. The author covers a wide variety of media used to convey technical information not only including books and journals, but also magazines, conference proceedings, newsletters, websites, and blogs. Rather than a boring cookbook style of writing, the author uses many stories, personal examples of his own writing, and visuals (graphs, tables, drawings) to convey good writing styles and practical information that will improve your writing.There are references and sample exercises at the end of each chapter for further study. The appendix also contains a list of templates for various types of documents Anyone interested in improving their writing skills and technical communication skills in general will find this book to be an invaluable and practical reference guide."—IEEE Electrical Insulation Magazine June 2019 Issue"Overall the book provides practical, actionable, information that can be used to improve anyone’s writing skills – technical or nontechnical. The author covers a wide variety of media used to convey technical information not only including books and journals, but also magazines, conference proceedings, newsletters, websites, and blogs. Rather than a boring cookbook style of writing, the author uses many stories, personal examples of his own writing, and visuals (graphs, tables, drawings) to convey good writing styles and practical information that will improve your writing.There are references and sample exercises at the end of each chapter for further study. The appendix also contains a list of templates for various types of documents Anyone interested in improving their writing skills and technical communication skills in general will find this book to be an invaluable and practical reference guide."—IEEE Electrical Insulation Magazine June 2019 IssueTable of Contents1. The Nature of Technical Writing. 2. Technical Writing Basics. 3. The Writing Process. 4. Scientific Writing. 5. Business Communications. 6. Technical Reporting. 7. Using Graphical Elements. 8. Publishing Your Work. 9. Writing For E-Media. 10: Writing with Collaborators. Appendix A: Writing Checklist. Appendix B: Writing Samples.

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Book Synopsis Fully up-to-date with the relevant parts of the 17th Edition IET Wiring Regulations: Amendment 3 and the 2012 Code of Practice Provides all the required information on portable appliance testing in a user-friendly manner Expert advice from an engineering training consultant, supported with colour diagrams, examples and tables The Electricity at Work Regulations 1989 requires any electrical system to be constructed, maintained and used in such a manner as to prevent danger. This means that inspection and testing of systems, including portable appliances, is needed in order to determine if maintenance is required. This book explains in clear language what needs to be done and includes expert advice on legislation as well as actual testing. The book contains an appendix providing the electrical fundamentals needed by non-specialists and also has sample questions (with answers) for the C&G 2377 exam. It iTrade Review"A good solid basis on which to learn about In service testing. This book gives you the basics of the subject, including legislation as well as actual testing. All in all a handy reference book for quick check backs and decent refresher quiz on relevant questions." AMAZON.CO.UK READER REVIEW (review of previous edition)Table of ContentsPreface 1. Legislation 2. Setting up 3. Equipment to be Inspected and Tested 4. Inspection 5. Combined Inspection and Testing. Appendices Index.

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Book SynopsisRichard C. Dorf was Emeriti Faculty of Electrical and Computer Engineering at the University of California, Davis. Known as an instructor who was highly concerned with the discipline of electrical engineering and its application to social and economic needs, Professor Dorf wrote and edited several successful engineering textbooks and handbooks, including the best-selling Engineering Handbook, second edition and the third edition of the Electrical Engineering Handbook. Professor Dorf was also co-author of Technology Ventures, a leading textbook on technology entrepreneurship. Professor Dorf was a Fellow of the IEEE and a Fellow of the ASEE. Dr. Dorf held a patent for the PIDA controller. Robert H. Bishop is the Dean of Engineering at the University of South Florida, President and CEO of the Institute of Applied Engineering, and a Professor in the Department of Electrical Engineering. Prior to coming to The University of South Florida, he was the Dean of Engineering at Marquette UniveTable of Contents1. Introduction to Control Systems 2. Mathematical Models of Systems 3. State Variable Models 4. Feedback Control System Characteristics 5. The Performance of Feedback Control Systems 6. The Stability of Linear Feedback Systems 7. The Root Locus Method 8. Frequency Response Methods 9. Stability in the Frequency Domain 10. The Design of Feedback Control Systems 11. The Design of State Variable Feedback Systems 12. Robust Control Systems 13. Digital Control Systems Appendices (Web Resources) A. MATLAB Basics B. MathScript RT Module Basics C. Symbols, Units, and Conversion Factors D. Laplace Transform Pairs E. An Introduction to Matrix Algebra F. Decibel Conversion G. Complex Numbers H. z-Transform Pairs I. Discrete-Time Evaluation of the Time Response J. Design Aids

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Book SynopsisElectronics: Basic, Analog, and Digital with PSpice does more than just make unsubstantiated assertions about electronics. Compared to most current textbooks on the subject, it pays significantly more attention to essential basic electronics and the underlying theory of semiconductors.In discussing electrical conduction in semiconductors, the author addresses the important but often ignored fundamental and unifying concept of electrochemical potential of current carriers, which is also an instructive link between semiconductor and ionic systems at a time when electrical engineering students are increasingly being exposed to biological systems. The text presents the background and tools necessary for at least a qualitative understanding of new and projected advances in microelectronics. The author provides helpful PSpice simulations and associated procedures (based on schematic capture, and using OrCAD 16.0 Demo software), which are availaTable of ContentsBasic Diode Circuits. Basic Principles of Semiconductors. pn Junction and Semiconductor Diodes. Semiconductor Fabrication. Field Effect Transistors. Bipolar Junction Transistor. Two-Port Circuits, Amplifiers, and Feedback. Single-Stage Transistor Amplifiers. Multistage and Feedback Amplifiers. Differential and Operational Amplifiers. Power Amplifiers and Switches. Basic Elements of Digital Circuits. Digital Logic Circuit Families.

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Book SynopsisEnergy Harvesting Autonomous Sensor Systems: Design, Analysis, and Practical Implementation provides a wide range of coverage of various energy harvesting techniques to enable the development of a truly self-autonomous and sustainable energy harvesting wireless sensor network (EH-WSN). It supplies a practical overview of the entire EH-WSN system from energy source all the way to energy usage by wireless sensor nodes/network. After an in-depth review of existing energy harvesting research thus far, the book focuses on: Outlines two wind energy harvesting (WEH) approaches, one using a wind turbine generator and one a piezoelectric wind energy harvester Covers thermal energy harvesting (TEH) from ambient heat sources with low temperature differences Presents two types of piezoelectric-based vibration energy harvesting systems to harvest impact or impulse forces from a human pressing a button or switch action Examines Table of ContentsIntroduction. Wind Energy Harvesting System. Thermal Energy Harvesting System. Vibration Energy Harvesting System. Hybrid Energy Harvesting System. Electrical Power Transfer with ‘no wires’. Conclusions and Future Works.

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Book SynopsisDigital computers have revolutionized computation and transformed how computers are used to control systems in real life, giving birth to real-time systems. Furthermore, massive developments in the communications domain have made it possible for real-time systems to perform coordinated actions over communication interfaces, resulting in the evolution of distributed real-time systems.Real-Time and Distributed Real-Time Systems: Theory and Applications presents a variety of techniques to design, analyze, implement, verify, and validate such systems. The book begins by introducing the basic principles of real-time and distributed real-time systems and then: Delivers a detailed analysis of a number of common, real-time communication protocols Discusses advancements beyond the standard-switched Ethernet, including multi-stream transmission control protocol/internet protocol (TCP/IP) Depicts the design of distributed real-time systems applicatioTable of ContentsIntroduction to Real-Time Systems. Distributed Real-Time Systems. Communication Protocols. Designing Real-Time and Distributed Real-Time Systems. Developing Distributed Real-Time System Applications—the MATLAB® Way. Design and Testing.

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Book SynopsisUsed in laptop and desktop computers, low-end servers, and mobile devices, Serial ATA (Advance Technology Attachment), or SATA, is the pervasive disk storage technology in use today. SATA has also penetrated the enterprise computing environment by adding hardware components for fail-over, extending command processing capabilities, and increasing device performance and link speeds. If you work in a data center or manage your company's storage resources, you will likely encounter storage solutions that require SATA software or hardware.In this book, leading storage networking technologist David Deming presents a comprehensive guide to designing, analyzing, and troubleshooting any SATA or SATA Express (SATAe) storage solution. Written by an engineer, this book is for those who aren''t afraid of digging into the technical details. It explains how SATA/SATAe powers data center applications and how it influences and interacts with all protocol layers and system componentsTable of ContentsIntroduction. SATA Technical Overview. SATA Application Layer. SATA Transport Layer. SATA Link Layer. Physical Layer. Error Handling. Cables and Connectors. Port Multipliers and Selectors. Software and Drivers.

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Book SynopsisThe book provides a comprehensive guide to vehicular social networks. The book focuses on a new class of mobile ad hoc networks that exploits social aspects applied to vehicular environments. Selected topics are related to social networking techniques, social-based routing techniques applied to vehicular networks, data dissemination in VSNs, architectures for VSNs, and novel trends and challenges in VSNs. It provides significant technical and practical insights in different aspects from a basic background on social networking, the inter-related technologies and applications to vehicular ad-hoc networks, the technical challenges, implementation and future trends.Table of Contents Introduction to VSNs Kardelen Cepni, Mustafa Ozger, and Ozgur B. Akan, "Vehicular Social Sensor Networks" Flavio Esposito, "Architectures for Social Vehicular Network Programmability" Data Dissemination in VSNs Leandros A. Maglaras, Pavlos Basaras, Dimitrios Katsaros, and Helge Janicke, "Social Clustering of Vehicles" Mahmoud Hashem Eiza and Qi Shi, "Social Evolving Graph-Based Connectivity Model for Vehicular Social Networks" Felipe D. da Cunha, Guilherme Maia, Leandro Villas, Aline Carneiro Viana, Raquel Mini, and Antonio A. F. Loureiro, "Socially Inspired Dissemination in VSNs" Applications and Security in VSNs Syed Fakhar Abbas, William Liu, Quan Bai, Adnan Al-Anbuky and Aminu Bello Usman, "Revealing the Role of Structural Transitivity in Building the Sustainable Community-Aware Vehicular Social Networks" Elif Bozkaya and Berk Canberk, "Crowdsourcing Applications for Vehicular Social Networks" 8 Farzad Safaei, "Efficacy of ridesharing as the basis for a dependable public transport system for Vehicular Social Networks" 9 Hongyu Jin, Mohammad Khodaei, and Panos Papadimitratos, "Security and Privacy in Vehicular Social Networks"

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Book SynopsisComputer Network Simulations Using NS2 provides a solid foundation of computer networking knowledge and skills, covering everything from simple operating system commands to the analysis of complex network performance metrics.The book begins with a discussion of the evolution of data communication techniques and the fundamental issues associated with performance evaluation. After presenting a preliminary overview of simulation and other performance evaluation techniques, the authors: Describe a number of computer network protocols and TCP/IP and OSI models, highlighting the networking devices used Explain a socket and its use in network programming, fostering the development of network applications using C and socket API Introduce the NS2 network simulator, exhibiting its internal architecture, constituent software packages, and installation in different operating systems Delve into simulation using NS2, elaborating on the usTable of ContentsIntroduction. Network Protocols. Network Programming Using Socket API. Introduction to NS2. Basics of Protocol Simulation Using NS2. Wired Network Simulation. Wireless Network Simulation.

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Book SynopsisA Systematic Approach to Learning Robot Programming with ROS provides a comprehensive, introduction to the essential components of ROS through detailed explanations of simple code examples along with the corresponding theory of operation. The book explores the organization of ROS, how to understand ROS packages, how to use ROS tools, how to incorporate existing ROS packages into new applications, and how to develop new packages for robotics and automation. It also facilitates continuing education by preparing the reader to better understand the existing on-line documentation.The book is organized into six parts. It begins with an introduction to ROS foundations, including writing ROS nodes and ROS tools. Messages, Classes, and Servers are also covered. The second part of the book features simulation and visualization with ROS, including coordinate transforms. The next part of the book discusses perceptual processing in ROS. It inTable of ContentsROS FOUNDATIONS. Introduction to ROS: ROS tools and nodes. Messages, Classes and Servers. SIMULATION AND VISUALIZATION IN ROS. Simulation in ROS. Coordinate Transforms in ROS. Sensing and Visualization in ROS. PERCEPTUAL PROCESSING IN ROS. Using Cameras in ROS. Depth Imaging and Point Clouds. Point Cloud Processing. MOBILE ROBOTS IN ROS. Mobile-Robot. Motion Control. Mobile-Robot Navigation. ROBOT ARMS IN ROS. Low-Level Control. Robot Arm Kinematics. Arm Motion Planning. Arm Control with the Baxter Simulator. An Object-Grabber Package. SYSTEM INTEGRATION AND HIGHER-LEVEL CONTROL. Perception-Based Manipulation. Mobile Manipulation

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Book SynopsisThis book is a reference for researchers who want to learn about resonant periodic structures for applications in microstrip circuits. The readers can learn simple methods to analyze these structures using commercially available software and equivalent circuit modelling. The application examples demonstrated in the book will open up new research ideas in this field.Table of ContentsIntroduction to Periodic Structures in Electromagnetics. Planar Periodic Structures as Electromagnetic Bandgap (EBG) Surfaces. Compact Planar Periodic Structure as Band-Rejection Filter. Reconfigurable Periodic Structures. Application of Compact Planar Periodic Structure in Bandpass Filters and Diplexers. Frequency Selective Surface (FSS) Application.

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Book SynopsisIn today’s society, modern power grids are driven closer to transfer capacities due to increased consumption and power transfers, endangering the security of the systems. Providing methods in controlling variables to minimize costs, transmission loss, and voltage deviation of power system operation yields valuable economic information and insight into power flow.Optimal Power Flow Using Evolutionary Algorithms provides emerging research exploring the theoretical and practical aspects of optimizing power system operation through advanced electronic power devices. Featuring coverage on a broad range of topics such as hybridization algorithm, power system modeling, and transmission systems, this book is ideally designed for engineers, power system developers, academicians, and researchers seeking current research on emerging techniques in achieving quality power under normal operating conditions.

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Book SynopsisLarge-scale battery packs are needed in hybrid and electric vehicles, utilities grid backup and storage, and frequency-regulation applications. In order to maximize battery-pack safety, longevity, and performance, it is important to understand how battery cells work. This first of its kind new resource focuses on developing a mathematical understanding of how electrochemical (battery) cells work, both internally and externally.This comprehensive resource derives physics-based micro-scale model equations, then continuum-scale model equations, and finally reduced-order model equations. This book describes the commonly used equivalent-circuit type battery model and develops equations for superior physics-based models of lithium-ion cells at different length scales.This book presents a breakthrough technology called the "discrete-time realization algorithm" that automatically converts physics-based models into high-fidelity approximate reduced-order models.Table of ContentsBattery Boot Camp; Equivalent-Circuit Models; Microscale Cell Models; Continuum-Scale Cell Models; State-Space Models and the Discrete-Time Realization Algorithm; Reduced-Order Models; Thermal Modeling.

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book SynopsisProviding a detailed overview of the fundamentals and latest developments in the field of energy autonomous microsystems, this book delivers an in-depth study of the applications in the fields of health and usage monitoring in aeronautics, medical implants, and home automation, drawing out the main specifications on such systems. Introductory information on photovoltaic, thermal and mechanical energy harvesting, and conversion, is given, along with the latest results in these fields. This book also provides a state of the art of ultra-low power sensor interfaces, digital signal processing and wireless communications. In addition, energy optimizations at the sensor node and sensors network levels are discussed, thus completing this overview. This book details the challenges and latest techniques available to readers who are interested in this field. A major strength of this book is that the first three chapters are application orientated and thus, by setting the landscape, introduce the technical chapters. There is also a good balance between the technical application, covering all the system-related aspects and, within each chapter, details on the physics, materials and technologies associated with electronics. Contents Introduction. Introduction to Energy Autonomous Micro
and Nano Systems and Presentation of Contributions, Marc Belleville and Cyril Condemine. 1. Sensors at the Core of Building Control, Gilles Chabanis, Laurent Chiesi, Hynek Raisigel,
Isabelle Ressejac and Véronique Boutin. 2. Toward Energy Autonomous MedicalImplants, Raymond Campagnolo and Daniel Kroiss. 3. Energy Autonomous Systems in Aeronautic Applications, Thomas Becker, Jirka Klaue and Martin Kluge. 4. Energy Harvesting by Photovoltaic Effect, Emmanuelle Rouvière, Simon Perraud, Cyril Condemine and
Guy Waltisperger. 5. Mechanical Energy Harvesting, Ghislain Despesse, Jean Jacques Chaillout,
Sébastien Boisseau and Claire Jean-Mistral. 6. Thermal Energy Harvesting, Tristan Caroff, Emmanuelle Rouvière and Jérôme Willemin. 7. Lithium Micro-Batteries, Raphaël Salot. 8. Ultra-Low-Power Sensors, Pascal Nouet, Norbert Dumas, Laurent Latorre and
Frédérick Mailly. 9. Ultra-Low-Power Signal Processing in Autonomous Systems, Christian Piguet. 10. Ultra-Low-Power Radio Frequency Communications and Protocols, Eric Mercier. 11. Energy Management in an Autonomous Microsystem, Jean-Frédéric Christmann, Edith Beigne, Cyril Condemine, Jérôme Willemin and Christian Piguet. 12. Optimizing Energy Efficiency of 
Sensor Networks, Olivier Sentieys and Olivier Berder.Table of ContentsIntroduction. Introduction to Energy Autonomous Micro and Nano Systems and Presentation of Contributions xiii Marc BELLEVILLE and Cyril CONDEMINE I.1. Context of energy-autonomous systems and micro-nanosystems xiii I.2. Sample applications xvi I.3. Energy harvesting, storage and conversion xvii I.4. Data acquisition, processing and transmission xviii I.5. Energy management xix I.6. Bibliography xx Chapter 1. Sensors at the Core of Building Control 1 Gilles CHABANIS, Laurent CHIESI, Hynek RAISIGEL, Isabelle RESSEJAC and Véronique BOUTIN 1.1. Introduction 1 1.2. Sensors in buildings 2 1.3. New sensor needs 3 1.4. An example: the HOMES comfort sensor prototype 10 1.5. Conclusion 20 1.6. Bibliography 21 Chapter 2. Toward Energy Autonomous Medical Implants 23 Raymond CAMPAGNOLO and Daniel KROISS 2.1. Introduction 23 2.2. Current and potential applications 24 2.3. Conclusion 55 2.4. Bibliography 57 Chapter 3. Energy Autonomous Systems in Aeronautic Applications 59 Thomas BECKER, Jirka KLAUE and Martin KLUGE 3.1. Motivation 59 3.2. Wireless systems 62 3.3. Autonomous systems 71 3.4. Summary 79 3.5. Bibliography 79 Chapter 4. Energy Harvesting by Photovoltaic Effect 83 Emmanuelle ROUVIÈRE, Simon PERRAUD, Cyril CONDEMINE and Guy WALTISPERGER 4.1. Introduction 83 4.2. Light power available indoors and outdoors 84 4.3. Photovoltaic cell: physical principle and model 88 4.4. Comparison between various photovoltaic cell technologies 96 4.5. Electronic management 97 4.6. Conclusion 110 4.7. Bibliography 110 Chapter 5. Mechanical Energy Harvesting 115 Ghislain DESPESSE, Jean Jacques CHAILLOUT, Sébastien BOISSEAU and Claire JEAN-MISTRAL 5.1. Energy-harvesting analysis 115 5.2. Main sources and conversion principles of mechanical energy 116 5.3. Harvesting mechanical energy from vibrations 122 5.4. Mechanical energy harvesting from forces/deformations 138 5.5. Conclusions and perspectives on mechanical energy harvesting 142 5.6. Bibliography 142 Chapter 6. Thermal Energy Harvesting 153 Tristan CAROFF, Emmanuelle ROUVIÈRE and Jérôme WILLEMIN 6.1. General presentation 153 6.2. Energy harvesting by thermoelectric effect 154 6.3. Thermoelectric materials 160 6.4. Technological trends 162 6.5. Implementation constraints and optimization 167 6.6. Electronic management of autonomous thermoelectric systems 172 6.7. Conclusions on thermal energy-harvesting systems 182 6.8. Bibliography 183 Chapter 7. Lithium Micro-Batteries 185 Raphaël SALOT 7.1. Development of lithium batteries over 20 years 186 7.2. The lithium system aiming for strong miniaturization properties 191 7.3. Bibliography 204 Chapter 8. Ultra-Low-Power Sensors 207 Pascal NOUET, Norbert DUMAS, Laurent LATORRE and Frédérick MAILLY 8.1. Introduction 207 8.2. Overview of sensors and their proximity electronics 208 8.3. Capacitive sensors 213 8.4. Resistive sensors 232 8.5. Conclusions 236 8.6. Bibliography 237 Chapter 9. Ultra-Low-Power Signal Processing in Autonomous Systems 241 Christian PIGUET 9.1. Low-power consumption 242 9.2. Digital signal processors 245 9.3. Decreasing static power consumption 254 9.4. Asynchronous architectures 260 9.5. Error tolerance 264 9.6. Conclusion 266 9.7. Bibliography 267 Chapter 10. Ultra-Low-Power Radio Frequency Communications and Protocols 273 Eric MERCIER 10.1. Introduction 273 10.2. Radio frequency and associated restrictions 274 10.3. Communication standards and protocols 279 10.4. Components and solutions 289 10.5. Conclusion 297 10.6. Bibliography 298 Chapter 11. Energy Management in an Autonomous Microsystem 301 Jean-Frédéric CHRISTMANN, Edith BEIGNE, Cyril CONDEMINE, Jérôme WILLEMIN and Christian PIGUET 11.1. Wireless sensor nodes 303 11.2. Power supplied by energy recuperators 306 11.3. Distribution, conversion and energy storage architectures 308 11.4. Implementing regulators 314 11.5. Algorithms 317 11.6. Conclusion 322 11.7. Bibliography 322 Chapter 12. Optimizing Energy Efficiency of Sensor Networks 325 Olivier SENTIEYS and Olivier BERDER 12.1. Introduction 325 12.2. Optimization methodology 328 12.3. Energy consumption model 329 12.4. Hardware optimization 332 12.5. Software organization and efficient protocols 343 12.6. Optimizing energy of algorithms 346 12.7. Conclusion and perspectives 354 12.8. Bibliography 355 List of Authors 361 Index 365

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Book SynopsisThe purpose of this book is to distinguish the single-de-source multilevel inverter topologies and to teach their control, switching and voltage balancing. It includes new information on voltage balancing and control of multilevel inverters. The book answers some important questions about the revolution of power electronics converters: 1- Why multilevel inverter are better than 2-level ones? 2- Why single-de-source multilevel inverters are a matter of interest? 3- What are the redundant switching states and what do they do? 4- How to use redundant switching states in control and voltage balancing? 5- What are the applications of single-de-source multilevel inverters?Table of ContentsChapter 1 Multilevel vs Two-level inverters 3.- Chapter 2 Multi DC Sources inverters, Pros and Cons 9.- Chapter 3 Single-DC-Source Multilevel inverters 13.- Chapter 4 Packed U-Cell Topology 21.

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