Electronics engineering Books

Book SynopsisThis textbook introduces Artificial Intelligence (AI) techniques for wireless communications and networks, helping readers to find solutions for communications and network problems using AI. Artificial Intelligence for 6G introduces, in a step-by-step manner, AI techniques such as: unsupervised learning; supervised learning; reinforcement learning; and deep learning. It explains how these techniques can be used for wireless communications and network systems, particularly in designing and optimizing 6G networks. This book is at the forefront of 6G research, and will be of interest internationally, to graduate students, academics, engineers, and developers who are focused on future development of network systems and mobile communications. Table of ContentsPart I: Artificial Intelligence Techniques.- Chapter 1. Historical Sketch of Artificial Intelligence.- Chapter 2. Unsupervised Learning.- Chapter 3. Supervised Learning.- Chapter 4. Gradient Descent.- Chapter 5. Reinforcement Learning.- Chapter 6. Deep Learning.- Part II: Artificial Intelligence Enabled Techniques for 6G.- Chapter 7. Artificial Intelligence and 6G.- Chapter 8. AI for Big Data.- Chapter 9. AI Enabled Wireless Communications.- Chapter 10. AI Enabled Networks.- Chapter 11. AI Empowered Mobile Applications.

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Book SynopsisThis book discusses the open questions regarding the modelling of cyber-physical systems and their application in different industries. The industry needs new approaches to improve its competitiveness. The concept of cyber-physical systems supports such changes, with the need to find new modelling tools becoming a key challenge. The book contains five-section covering the following topics: cyber-physical systems modelling, IoT and signal processing, cyber-physical systems intelligent control, cyber-physical systems industrial implementation and the production of the new material for cyber-physical systems. These approaches, on the one hand, should ensure the execution of current business processes, and on the other hand, ensure a quick speed of reactions to changes. The target audience of the book are practitioners, enterprises representatives, scientists, PhD and Master students who perform scientific research on modelling and industrial application of cyber-physical systems.Table of ContentsCyber-Physical Systems Modelling.- IoT and Signal Processing.- Cyber-Physical Systems Intelligent Control.- Cyber-Physical Systems Industrial implementation.- New Materials Production for Cyber-Physical Systems.

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Book SynopsisThis book describes the background, principles, implementations, characterization, and future trends of temperature sensors made from silicon resistors in CMOS technology, including their readout circuits. Readers will benefit from the latest research of CMOS temperature sensors, and could learn about various precision analog techniques such as phase detection, continuous-time ΔΣ ADC, zoom ADC, FIR-DAC, dynamic element matching, OTA linearization, etc.Table of Contents1. Introduction2. Sensor and readout topologies3. Wien-bridge-based temperature sensors4. Wheatstone-bridge-based temperature sensors5. Application-driven designs6. Conclusions and outlook.

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Book SynopsisThis text will be replaced by the correThis book is aimed to a broad audience of researchers and students who are interested in questions of structure formation in complex systems in nature and society. When we think of synergetics, impressive images of complex structures immediately come to mind. Such images serve us as starting point and guide for understanding structure formation in chemical, biological, physical, geological, and social systems.Many fascinating pictures of new experimental results illustrate the imagery of synergetics and at the same time enable precise statements about the underlying laws based on precise and discussed measurements. In this way, for example, the famous Runge pictures are accessible to a physico-chemical description, and it turns out that the well-known disintegration of the beer foam satisfies a consecutive kinetics with feedback. The modeling by means of cellular automata and iterated function systems enables us to study the cooperative character of pattern formation on sea shells on the one hand but also to show that creativity is a cooperative effect.ct back cover text / information text as soon as we get it. Table of ContentsImages from the history of synergetics.- Part I: Synergetic view on historic experiments.- The Swinging chromium.- Liesegang structures.- Runge pictures.- Part II: Fractal structure in chemistry and biology.- Fractal metal zinc-trees.- The fractal character of modified zeolites.- Pattern of sea shells modelled by one-dimensional automata.- Part III: Dissipative structures.- Waves which move uphill.- Dissipative sculpturing of beige jasper of the eastern desert of Egypt.- Complex dissipative structures mainly at liquid/liquid and liquid/gas inter-phases.- Cooperation of flow instabilities.- The oscillatory regime of Marangoni-instability.- Part IV: Structure formation in social systems.- Creativity – comments to the scientific process.- Mother Hulda and the Blue Sky Catastrophe.- Part V: Kaleidoscope.- Small contributions to a variety of complex pattern formation processes.

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Book SynopsisThis book constitutes the proceedings of the XVI Multidisciplinary International Congress on Science and Technology (CIT 2021), held in Quito, Ecuador, on June 14–18, 2021, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in science and technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Security and Cryptography Software Engineering

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Book SynopsisThis book constitutes the proceedings of the XVI Multidisciplinary International Congress on Science and Technology (CIT 2021), held in Quito, Ecuador, on June 14–18, 2021, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in science and technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Security and Cryptography Software Engineering

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Book SynopsisThis SpringerBrief presents novel methods of approaching challenging problems in the reconstruction of accurate 3D models and serves as an introduction for further 3D reconstruction methods. It develops a 3D reconstruction system that produces accurate results by cascading multiple novel loop detection, sifting, and optimization methods.The authors offer a fast point cloud registration method that utilizes optimized randomness in random sample consensus for surface loop detection. The text also proposes two methods for surface-loop sifting. One is supported by a sparse-feature-based optimization graph. This graph is more robust to different scan patterns than earlier methods and can cope with tracking failure and recovery. The other is an offline algorithm that can sift loop detections based on their impact on loop optimization results and which is enabled by a dense map posterior metric for 3D reconstruction and mapping performance evaluation works without any costly ground-truth data. The methods presented in Towards Optimal Point Cloud Processing for 3D Reconstruction will be of assistance to researchers developing 3D modelling methods and to workers in the wide variety of fields that exploit such technology including metrology, geological animation and mass customization in smart manufacturing.Table of Contents1. Introduction.- 2. Preliminaries.- 3. Fractional-Order Random Sample Consensus.- 4. Online Sifting of Loop Detections for 3D Reconstruction of Caves.- 5. Dense Map Posterior: A Novel Quality Metric for 3D Reconstruction.- 6. Offline Sifting and Majorization of Loop Detections.- 7. Conclusion and Future Opportunities.- Appendix: More Information on Results Reproducibility.

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Book SynopsisThis book provides a comprehensive introduction to all major topics in digital signal processing (DSP). The book is designed to serve as a textbook for courses offered to undergraduate students enrolled in electrical, electronics, and communication engineering disciplines. The text is augmented with many illustrative examples for easy understanding of the topics covered. Every chapter contains several numerical problems with answers followed by question-and-answer type assignments. The detailed coverage and pedagogical tools make this an ideal textbook for students and researchers enrolled in electrical engineering and related programs. Table of ContentsChapter 1. Representation of Discrete Signals and Systems.- Chapter 2. Discrete and Fast Fourier Transforms (DFT and FFT).- Chapter 3. Design of IIR Digital Filters.- Chapter 4. Finite Impulse Response (FIR) Filter Design.- Chapter 5. Finite Word Length Effects.Chapter 6. Multi-rate Digital Signal Processing.

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Book SynopsisThe complexity of modern chip design requires extensive use of specialized software throughout the process. To achieve the best results, a user of this software needs a high-level understanding of the underlying mathematical models and algorithms. In addition, a developer of such software must have a keen understanding of relevant computer science aspects, including algorithmic performance bottlenecks and how various algorithms operate and interact. This book introduces and compares the fundamental algorithms that are used during the IC physical design phase, wherein a geometric chip layout is produced starting from an abstract circuit design. This updated second edition includes recent advancements in the state-of-the-art of physical design, and builds upon foundational coverage of essential and fundamental techniques. Numerous examples and tasks with solutions increase the clarity of presentation and facilitate deeper understanding. A comprehensive set of slides is available on the Internet for each chapter, simplifying use of the book in instructional settings.“This improved, second edition of the book will continue to serve the EDA and design community well. It is a foundational text and reference for the next generation of professionals who will be called on to continue the advancement of our chip design tools and design the most advanced micro-electronics.” Dr. Leon Stok, Vice President, Electronic Design Automation, IBM Systems Group“This is the book I wish I had when I taught EDA in the past, and the one I’m using from now on.” Dr. Louis K. Scheffer, Howard Hughes Medical Institute“I would happily use this book when teaching Physical Design. I know of no other work that’s as comprehensive and up-to-date, with algorithmic focus and clear pseudocode for the key algorithms. The book is beautifully designed!”Prof. John P. Hayes, University of Michigan“The entire field of electronic design automation owes the authors a great debt for providing a single coherent source on physical design that is clear and tutorial in nature, while providing details on key state-of-the-art topics such as timing closure.”Prof. Kurt Keutzer, University of California, Berkeley“An excellent balance of the basics and more advanced concepts, presented by top experts in the field.” Prof. Sachin Sapatnekar, University of MinnesotaTable of Contents1 Introduction. 1.1 Electronic Design Automation (EDA). 1.2 VLSI Design Flow. 1.3 VLSI Design Styles. 1.4 Layout Layers and Design Rules. 1.5 Physical Design Optimizations. 1.6 Algorithms and Complexity. 1.7 Graph Theory Terminology. 1.8 Common EDA Terminology. 2 Netlist and System Partitioning. 2.1 Introduction. 2.2 Terminology. 2.3 Optimization Goals. 2.4 Partitioning Algorithms. 2.5 A Framework for Multilevel Partitioning. 2.6 System Partitioning onto Multiple FPGAs. Chapter 2 Exercises.3 Chip Planning. 3.1 Introduction to Floorplanning. 3.2 Optimization Goals in Floorplanning. 3.3 Terminology. 3.4 Floorplan Representations. 3.5 Floorplanning Algorithms. 3.6 Pin Assignment. 3.7 Power and Ground Routing. Chapter 3 Exercises.4 Global and Detailed Placement. 4.1 Introduction. 4.2 Optimization Objectives. 4.3 Global Placement. 4.4 Legalization and Detailed Placement. Chapter 4 Exercises.5 Global Routing. 5.1 Introduction. 5.2 Terminology and Definitions. 5.3 Optimization Goals. 5.4 Representations of Routing Regions. 5.5 The Global Routing Flow. 5.6 Single-Net Routing. 5.7 Full-Netlist Routing. 5.8 Modern Global Routing. Chapter 5 Exercises.6 Detailed Routing. 6.1 Terminology. 6.2 Horizontal and Vertical Constraint Graphs. 6.3 Channel Routing Algorithms. 6.4 Switchbox Routing. 6.5 Over-the-Cell Routing Algorithms. 6.6 Modern Challenges in Detailed Routing. Chapter 6 Exercises.7 Specialized Routing. 7.1 Introduction to Area Routing. 7.2 Net Ordering in Area Routing. 7.3 Non-Manhattan Routing. 7.4 Basic Concepts in Clock Networks. 7.5 Modern Clock Tree Synthesis. Chapter 7 Exercises.8 Timing Closure. 8.1 Introduction. 8.2 Timing Analysis and Performance Constraints. 8.3 Timing-Driven Placement. 8.4 Timing-Driven Routing. 8.5 Physical Synthesis. 8.6 Performance-Driven Design Flow. 8.7 Conclusions. Chapter 8 Exercises. A Solutions to Chapter Exercises. B Example CMOS Cell Layouts.

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Book SynopsisThere are several popular books published in Healthcare Computational Informatics like Computational Bioengineering and Bioinformatics (2020), Springer; Health Informatics (2017), Springer; Health Informatics Vision: From Data via Information to Knowledge (2019), IOS Press; Data Analytics in Biomedical Engineering and Healthcare (2020), Elsevier. However, in all these mentioned books, the challenges in Biomedical Imaging are solved in one dimension by use of any specific technology like Image Processing, Machine Learning or Computer Aided Systems. In this book, the book it has been attempted to bring all technologies related to computational analytics together and apply them on Biomedical Imaging.Table of ContentsSection 1: Medical Image Analysis using Artificial Intelligence Use of Deep Learning in Biomedical Imaging Detection of Breast Cancer Masses in Mammogram Images with Watershed Segmentation and Machine Learning Approach Cloud-based Glaucoma Diagnosis in Medical Imaging using Machine Learning Leucocytic Cell Nucleus Identification using Boundary Cell Detection algorithm with Dilation and Erosion based Morphometry Effective Prediction of Autism Using Ensemble Method Section 2: Artificial Intelligence (AI) Classification Models for COVID-19 Pandemic Automatic Classification of COVID-19 infected patients using Convolution Neural Network Models AI-Based Deep Random Forest Ensemble Model for Prediction of COVID-19 and Pneumonia from Chest X-Ray Images Section 3: Use of AI-Enabled IoT in Healthcare Internet of Things and Artificial Intelligence in Biomedical Systems Role of IoT in Healthcare Sector for Monitoring Diabetic Patients Section 4: Applications of Artificial Intelligence in Healthcare Low-Rank Representation based approach for subspace segmentation and clustering of biomedical image patterns Performance Comparison of Imputation Methods for Heart Disease Prediction Ayurnano: A solution towards herbal therapeutics using Artificial Intelligence approach Artificial Intelligence in Biomedical Education The Emergence of Natural Language Processing (NLP) Techniques in Healthcare AI Prospects and Difficulties of Artificial Intelligence (AI) Implementations in Naturopathy

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Book SynopsisThis book introduces machine learning and its applications in smart environments/cities. At this stage, a comprehensive understanding of smart environment/city applications is critical for supporting future research. This book includes chapters written by researchers from different countries across the globe and identifies critical threads in research and also gaps that open up new and challenging lines of research for the future. Recent advances are discussed, and thorough reviews introduce readers to critical domains. The discussion on key research topics presented in this book accelerates smart city and smart environment implementations based on IoT technologies. Consequently, this book supports future research activities aimed at developing future IoT architectures for smart environments/cities.Table of ContentsAn Introduction and Systematic Review on Machine Learning for Smart Environments/Cities: An IoT Approach.- Model-Based Digital Threads for Socio-Technical Systems.- IoT Regulated Water Quality Prediction Through Machine Learning for Smart Environments.

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Book SynopsisThis book presents the outcomes of the 2022 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber-security, particularly focusing on threat intelligence, analytics, and countering cyber-crime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings and novel techniques, methods and applications on all aspects of cyber-security intelligence and analytics. Due to COVID-19, authors, keynote speakers and PC committees will attend the conference online.Table of ContentsAn Empirical Study on the Evolutionary Mechanism of Tourism Enterprises in Computer System Data Analysis.- A Preliminary Study of the Modeling and Simulation Technology of New Artificial Intelligence System in the Era of Big Data.- Computer Distributed Mirror Storage Algorithm for Desktop Virtualization.- Construction of Financial Investment Risk Measurement Model Based on Big Data.- Research on Straw Weaving Modeling System Based on Machine Learning Algorithm.- 5G New Radio Waveform with Time-Frequency Optimized Multiwavelet Packet.- Application of AR Technology in the Design of Cultural Communication Platform System.- Application Research on Facial Makeup Modeling Activation of Classical Opera Based on AR Virtual Information Technology.- An Evaluation Method of Light Strip Center Detection Algorithm Based on Line Structured Light Vision.- Design and Application Analysis of Network Command System for Power Grid Dispatching Operation.- Research and Implementation of Application Scenarios for Dispatching Voice Interaction Based on Artificial Intelligence.- Intelligent Accounting System Structure and Intelligent Accounting Algorithm Based on Computer Vision.- A Research on the Intelligent Recognition of Athletes’ Wrong Actions Based on Visual Data Technology.- Virtual Reality Video CU Partition Fast System Based on Dynamic Selection Algorithm.- Risk Analysis Model of Financial Management Products Based on Clustering Algorithm.- Weak and Small Face Target Recognition based on MTCNN Network in Dynamic Platform.

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Book SynopsisThis book reports on cutting-edge research and technology aimed at increasing the efficiency of production processes and to foster the implementation of Industry 4.0 solutions in manufacturing. Gathering peer-review contributions to the 7th International Scientific Technical Conference MANUFACTURING 2022, held in Poznan, Poland on May 16-19, 2022, it describes advanced engineering methods to optimize different stages and aspects of the production process, including product design, production scheduling, equipment maintenance and safety. It discusses the applications of augmented/virtual and mixed reality within the manufacturing industry and for education and training purposes, and highlights cutting-edge solutions for green and sustainable production. Offering a timely, practice-oriented reference guide for both researchers and practitioners in manufacturing, this book is also intended to contribute bridging the gap between university and industry, fostering a closer communication and cooperation between them. Table of Contents

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Book SynopsisThis book focuses on the use of The Internet of Things (IoT) and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. IoT and big data emerged from the early 2000s data boom, driven forward by many of the early internet and technology companies. The Internet of Things (IoT) is an interconnection of several devices, networks, technologies, and human resources to achieve a common goal. There are a variety of IoT-based applications being used in different sectors and have succeeded in providing huge benefits to the users. The generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends to adopt the data analytics to strengthen solutions. The success of IoT depends upon the influential association of big data analytics. New technologies like search engines, mobile devices, and industrial machines provided as much data as companies could handle—and the scale continues to grow. In a study conducted by IDC, the market intelligence firm estimated that the global production of data would grow 10x between 2015 and 2020. So, the proposed book covers up all the aspects in the field discuss above.Table of ContentsPQD Analysis in Smart Grid System Using Attention-based Neural Network.- Internet of Things Waste Detection and Classification using Optimal Deep Learning Model.- A Smart Record System for Driver Accidental Using Blockchain.

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Book SynopsisThis book aims to provide a platform to the researchers and practitioners from both academia and industry to meet and share their experience and knowledge. Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT), Volume 1 & 2, aims to bring together researchers and professionals to exchange ideas on the advancements in technology, application areas for advanced communication systems and development of new services, and facilitate a tremendous growth of new devices and smart things that need to be connected to the Internet through a variety of wireless technologies. Parallel to this, new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, unmanned aerial vehicles, cloud and edge computing, energy efficiency/harvesting, and computing power open the way to new domains, services, and business models beyond the traditional mobile Internet. The new areas in turn come with various requirements in terms of reliability, quality of service, and energy efficiency. These are only some examples of the challenges that are of interest to researchers in Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT). It will explore the latest developments, innovations, and best practices within the IoT and the impact it has on industries including: manufacturing, transport, supply chain, communication, government, legal sectors, financial services, energy utilities, insurance, health care, retail, and many others. It provides opportunities for academicians and scientists along with professionals, policymakers, and practitioners from various fields in a global realm to present their research, contributions, and views, on one forum, and interact with members inside and outside their own particular disciplines. Papers describing applications of IoT in e-Health, Smart Systems & Management, Communication, and Education are also included, but the focus is mainly on how new and novel techniques advance the performance in application areas, rather than a presentation of yet another application of conventional tool. Papers on such applications describe a principled solution, emphasize its novelty, and present an in-depth evaluation of the techniques being exploited.Table of ContentsEvolution Characteristics of High-Tech Industry Innovation Efficiency under the Background of Information Technology.- The Effect of Rapid Weight Loss on Football Players' Health and Athletic Ability under Computer Technology.- University Art Education and Informatization Teaching Innovation in the Era of Network Information.- (CAD/CAM) Preliminary Establishment of Digital System in Dental Restoration.- Effectiveness of College Students' Physical Exercise on Improving Mood State Based on Big Data.- Influence of Big Data Information Processing Technology on English Reading Anxiety.- Use of Animal Waste for Heat and Produce Electricity in form of Steam Power.- A Hybrid Scheduling Approach in the Cloud.

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Book SynopsisThis book provides a comprehensive guide to 3D Light-Field camera based imaging, exploring the working principles, developments and its applications in fluid mechanics and aerodynamics measurements. It begins by discussing the fundamentals of Light-Field imaging and theoretical resolution analysis, before touching upon the detailed optics design and micro-lens array assembly. Subsequently, Light-Field calibration methods that compensate for optical distortions and establish the relations between the image and real-word 3D coordinates are covered. This is followed by Light-Field 3D reconstruction algorithms which are elaborated for micrometer-scale particles and centimeter-scale physical models. Last but not least, implementations of the preceding procedures to selected fundamental and applied flow measurement scenarios are provided at the end of the book. Development and Application of Light-Field Cameras in Fluid Measurements gives an in-depth analysis of each topic discussed, making it ideal as both an introductory and reference guide for researchers and postgraduates interested in 3D flow measurements.Table of ContentsIntroduction.- Light-field camera working principles.- Volumetric calibration for light-field camera with regular and scheimpflug lens.- Light-field particle image velocimetry.- Simultaneous 3D surface geometry and pressure distribution measurement.- Light-field PIV implementation and case studies.- Future developments of Light-field based measurements.

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Book SynopsisThis book highlights recent advances in smart cities technologies, with a focus on new technologies such as biometrics, blockchains, data encryption, data mining, machine learning, deep learning, cloud security, and mobile security. During the past five years, digital cities have been emerging as a technology reality that will come to dominate the usual life of people, in either developed or developing countries. Particularly, with big data issues from smart cities, privacy and security have been a widely concerned matter due to its relevance and sensitivity extensively present in cybersecurity, healthcare, medical service, e-commercial, e-governance, mobile banking, e-finance, digital twins, and so on. These new topics rises up with the era of smart cities and mostly associate with public sectors, which are vital to the modern life of people. This volume summarizes the recent advances in addressing the challenges on big data privacy and security in smart cities and points out the future research direction around this new challenging topic.Table of Contents1. Introduction.- 2. Deep Digital Identity for Big Data Privacy and Security.- 3. Behavioral Biometrics for Security in Smart Cities.- 4. Identity Spoofing and Cyber Attacks.- 5. Intrusion Detection via Deep Learning.- 6. Biometric Blockchain in e-Governance.- 7. e-Voting and Transparent Democracy.- 8. Secured e-Trading with Blockchain.- 9. Healthcare Biometric Blockchain.- 10. Medical Data and Security.- 11. Digital Passport.- 12. Social Smart Cities.- 13. Forensics and Legislation.- 14. Soft Border Control with Digital IDs.

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Book SynopsisThis book covers a variety of topics in the field of mechatronics engineering, with a special focus on innovative control systems and automation concepts for a wide range of applications. Based on a set of papers presented at the 2nd International Conference “Innovation in Engineering”, ICIE, held in Minho, Portugal, on June 28-30, 2022, the chapters report on cutting-edge control algorithms for mobile robots, automatic monitoring systems and intelligent predictive maintenance techniques. They cover advanced scheduling, risk-assessment and decision-making strategies, and their applications in industrial production, training and education, and service organizations. This volume, which belongs to a three-volume set, provides engineering researchers and professionals with a timely overview and extensive information on trends and technologies behind the future developments of mechatronics systems in the era of Industry 4.0.

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Book SynopsisThis textbook provides a compact but comprehensive treatment that guides students through the analysis of circuits, using LTspice®. Ideal as a hands-on source for courses in Circuits, Electronics, Digital Logic and Power Electronics this text focuses on solving problems using market-standard software, corresponding to all key concepts covered in the classroom. The author uses his extensive classroom experience to guide students toward deeper understanding of key concepts, while they gain facility with software they will need to master for later studies and practical use in their engineering careers.Table of Contents1) Simulation of electric circuits with Ltspice2) Simulation of electronic circuits with Ltspice3) Simulation of digital circuits with Ltspice4) Simulation of power electronics circuits with Ltspice

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Book SynopsisThis book discusses the Versatile Video Coding (VVC), the ISO and ITU state-of-the-art video coding standard. VVC reaches a compression efficiency significantly higher than its predecessor standard (HEVC) and it has a high versatility for efficient use in a broad range of applications and different types of video content, including Ultra-High Definition (UHD), High-Dynamic Range (HDR), screen content, 360º videos, and resolution adaptivity. The authors introduce the novel VVC tools for block partitioning, intra-frame and inter-frames predictions, transforms, quantization, entropy coding, and in-loop filtering. The authors also present some solutions exploring VVC encoding behavior at different levels to accelerate the intra-frame prediction, applying statistical-based heuristics and machine learning (ML) techniques.Table of ContentsIntroduction.- Versatile Video Coding.- VVC Intra-Frame Prediction.- State-of-the-Art Overview.- Performance Analysis of VVC Intra-Frame Prediction.- Heuristic Based Fast Multi-Type Tree Decision Scheme for Luminance.- Light Gradient Boosting Machine Configurable Fast Block Partitioning for Luminance.- Learning-Based Fast Decision for Intra-Frame Prediction Mode Selection for Luminance.- Fast Intra-Frame Prediction Transform for Luminance Using Decision Trees.- Heuristic Based Fast Block Partitioning Scheme for Chrominance.- Conclusions.

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Book SynopsisThis book constitutes the thoroughly refereed conference proceedings of the First International Workshop on Design and Architecture for Signal and Image Processing, DASIP 2022, held in Budaypest, Hungary in June 2022. The 13 full included in the volume were carefully reviewed and selected from 32 submissions. They are organized in the following topical sections: leading signal, image and video processing and machine learning in custom embedded, edge and cloud computing architectures and systems.Table of ContentsSoftware and Architecture for Telecommunication Systems.- Towards Lightweight Deep-Learning Techniques.- Design Automation and Optimization Techniques for Embedded Hardware and Software.- Optimized Hardware and Software Implementations for Image Processing and Health Applications.

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Book SynopsisThis book presents recent advancements in Industry 4.0 and addresses how these can be useful in achieving sustainable solutions in Society 5.0. The book also serves as a reference for developing sustainable engineering solutions to various socio-economic and techno-commercial issues. The book is meticulously structured into two sections: Section I sheds light on fundamentals, nitty-gritties, and principles of technological innovations and advancement in artificial intelligence, cloud computing, industrial Internet of Things (IIOT), and Society 5.0, whereas Section II covers viable engineering solutions developments for revamping Industry 4.0 to Society 5.0. Overall, the authors aim to show how technological advancements can be used to address social issues and improve society.Table of ContentsIntroduction.- Sustainable computing in Healthcare.- IoT for Contemporary Life.- Artificial Intelligence in Multimedia Technology.- Artificial Intelligence in Security and Surveillance.- Artificial Intelligence in Big Data Analytics.- Engineering design for sustainable development using IOT/AI.- Intelligent and Smart Grid Systems.- Sustainable computing in Energy conservation.- Sustainable computing in Society 5.0.- Artificial Intelligence in Geo-Politics.- Cyber Physical System for Social Problems.- Artificial Intelligence and Machine Learning in Healthcare.- Open Challenges in Society 5.0.- Economic empowerment using AI/ML/IoT.- Machine Learning and Computing for Sustainable Development Goals.- Deep Learning for Society 5.0.- Intelligent and Smart Farming for Society 5.0.- Technological Innovation in Industry 4.0.- Artificial Intelligence in E-Governance.- Deep Learning in E-Governance.- Conclusion.

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Book SynopsisThe book provides an accessible overview of audio signal processing, and enables readers to design and write algorithms for the analysis, synthesis, and manipulation of musical and acoustic signals for any programming language. It provides an overview of highly interdisciplinary topics developed in a simple but rigorous way, and described in a unified and formal language which focuses on determining discrete-time audio signal models. Readers can find within a self-contained volume basic topics ranging over different disciplines: mechanical acoustics, physical systems and linear and nonlinear models, with lumped and distributed parameters; described and developed with the same level of mathematical formalism, easy to understand and oriented to the development of algorithms. Topics include the fundamental concepts of acoustic mechanics and vibration; the design of filters and equalizers for sound signals, the so-called audio effects, abstract methods of sound synthesis, and finally, methods of synthesis by physical modeling.Table of ContentsFoundations of Acoustics.- Discrete-Time Signals, Circuits and System Fundamentals.- Digital Filters for Audio Applications.- Multi-Rate Audio Processing and Wavelet Transform.- Special Transfer Functions for DASP.- Circuits and Algorithms for Physical Modeling.- Digital Audio Effects.- Sound Synthesis.- Physical Modeling.

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Book SynopsisThis book provides both researchers in the academia, students, and industrial experts the chance to exchange new ideas, build relations, and find virtual partners. It is a scientific event whose proceedings have set a very high standard. ICORSE’s distinctive feature is represented by its breadth of topics: mechatronics, integronics and adaptronics; reliable systems engineering; cyber-physical systems; optics; theoretical and applied mechanics; robotics; modelling and simulation; smart integrated control systems; computer imaging processing; smart bio-medical and bio-mechatronic systems; MEMS and NEMS; new materials; sensors and transducers; nano-chemistry, physical chemistry of biological systems; micro- and nanotechnology; system optimization; communications, renewable energy and environmental engineering. They all come together to deliver a clear picture of the state of the art reached in these areas so far.Table of ContentsDetermination of additional braking force for hydraulic cylinder piston.- Modular spindle tooling of the machining center with increased resource.- Optical fiber behavior under inert atmosphere.- Natural vibrations of a turbine blade during milling.- Maintenance of hydraulic components on multifunctional stands.- configuration of SRR-metamaterial based 2*1 array-type RGW antenna with cantilever beam switching technique.- Step, servo and hub motor based hybrid PCB processing and prototyping device design and analysis.

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Book SynopsisThe eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022.The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections:Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology;Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging;Part III: Breast imaging; colonoscopy; computer aided diagnosis;Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I;Part V: Image segmentation II; integration of imaging with non-imaging biomarkers;Part VI: Image registration; image reconstruction;Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization;Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies. Table of ContentsMachine learning – weakly-supervised learning.- machine learning – model interpretation.- machine learning – uncertainty.- machine learning theory and methodologies.

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Book SynopsisThe textbook presents basic concepts of signals and systems in a clear manner, based on the author’s 15+ years of teaching the undergraduate course for engineering students. To attain full benefit from the content, readers should have a strong knowledge of calculus and be familiar with integration, differentiation, and summation operations. The book starts with an introduction to signals and systems and continues with coverage of basic signal functions and their manipulations; energy, power, convolution, and systems; Fourier analysis of continuous time signals and digital signals; Laplace transform; and Z transforms. Practical applications are included throughout. The book is also packed with solved examples, self-study exercises, and end of chapter problems.Table of Contents1) Introduction to Signals and Systems2) BASIC SIGNAL FUNCTIONS and THEIR MANIPULATIONS3) ENERGY, POWER, CONVOLUTION, and SYSTEMS4) FOURIER ANALYSIS of DIGITAL SIGNALS5) FOURIER ANALYSIS of DIGITAL SIGNALS6) LAPLACE TRANSFORM7) Z Transform8) PRACTICAL APPLICATIONS

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Book SynopsisThis book covers power systems cybersecurity. In order to enhance overall stability and security in wide-area cyber-physical power systems and defend against cyberattacks, new resilient operation, control, and protection methods are required. The cyberattack-resilient control methods improve overall cybersecurity and stability in normal and abnormal operating conditions. By contrast, cyberattack-resilient protection schemes are important to keep the secure operation of a system under the most severe contingencies and cyberattacks. The main subjects covered in the book are: 1) proposing new tolerant and cyberattack-resilient control and protection methods against cyberattacks for future power systems, 2) suggesting new methods for cyberattack detection and cybersecurity assessment, and 3) focusing on practical issues in modern power systems. Table of ContentsChapter 1. A comprehensive review on cyber-attack detection and control of microgrid systems.- Chapter 2. Cyber Vulnerabilities of Modern Power Systems.- Chapter 3. Cyber-Physical Security in Smart Power Systems from a Resilience Perspective: Concepts and Possible Solutions.- Chapter 4. Cybersecurity Challenges in Microgrids: Inverter-Based Resources and Electric Vehicles.- Chapter 5. Improving Cybersecurity Situational Awareness in Smart Grid Environments.- Chapter 6. Hybrid Physics-Based and Data-driven Mitigation Strategy for Automatic Generation Control Under Cyber Attack.- Chapter 7. Data Driven Cybr Resilient Control of Wide Area Power Systems.- Chapter 8. Cyberattack-Resilient Control in Multi-Area Power Generation.- Chapter 9. Cyber-Security of Protection System in Power Grids - Part 1: Vulnerabilities and Counter-Measures.- Chapter 10. Cyber-Security of Protection System in Power Grids - Part 2: Case Studies on Securing Line Current Differential Relays.- Chapter 11. Semi-supervised deep learning-driven anomaly detection schemes for cyber-attack detection in smart grids.- Chapter 12. Vertical approach Anomaly Detection using Local Outlier Factor.- Chapter 13. A modular infrastructure for the validation of cyberattack detection systems.- Chapter 14. A novel self-learning cybersecurity system for smart grids.- Chapter 15. Cyber-resilience enhancement framework in smart grids.- Chapter 16. SOAR4DER: Security Orchestration, Automation, and Response for Distributed Energy Resources.- Chapter 17. A Study on Cyber-Physical System Architecture for Smart Grids and Its Cyber Vulnerability.- Chapter 18. A Study on Cybersecurity Standards for Power Systems.

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Book SynopsisThis book presents a novel design framework for the development of Digital Twin (DT) models for process- and motion-control applications. It is based on system-data acquisition using cutting-edge computing technologies, modelling of physical-system behavior through detailed simultaneous simulation of different aspects of the system, and optimal dynamic behavior-matching of the process. The design framework is enhanced with real-time data analytics to improve the performance of the DT’s behavior-matching with the real system or physical twin.The methods of creating a DT detailed in Digital-Twin-Enabled Smart Control Engineering make possible the study of a system for real-time controller tuning and fault detection. They also facilitate life-cycle analysis for multiple critical and dangerous conditions that cannot be explored in the corresponding real system or physical twin. The authors show how a DT can be exploited to enable self-optimizing capabilities in feedback control systems.The DT framework and the control-performance assessment, fault diagnosis and prognosis, remaining-useful-life analysis, and self-optimizing control abilities it allows are validated with both process- and motion-control systems and their DTs. Supporting MATLAB-based material for a case study and an expanded introduction to the basic elements of DTs can be accessed on an associated website. This book helps university researchers from many areas of engineering to develop new tools for control design and reliability and life-cycle assessment and helps practicing engineers working with robotic, manufacturing and processing, and mechatronic systems to maintain and develop the mechanical tools they use.Table of ContentsDigital Twin Background.- A Digital Twin Development Framework.- Digital Twin Enabling Capabilities.- Smart Control Engineering Enabled by Digital Twin.- Summary and Future Research Opportunities.

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Book SynopsisThis book constitutes the Third Diabetic Foot Ulcers Grand Challenge, DFUC 2022, which was held on September 2022, in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 in Singapore. The 8 full papers presented together with 5 challenge papers and 3 post-challenge papers included in this book were carefully reviewed and selected from 19 submissions.The DFU challenges aim to motivate the health care domain to share datasets, participate in ground truth annotation, and enable data-innovation in computer algorithm development. In the longer term, it will lead to improved patient care.Table of ContentsQuantifying the Effect of Image Similarity on Diabetic Foot Ulcer Classification.- DFUC2022 Challenge Papers.- HarDNet-DFUS: Enhancing Backbone and Decoder of HarDNet-MSEGfor Diabetic Foot Ulcer Image Segmentation.- OCRNet For Diabetic Foot Ulcer Segmentation Combined with Edge Loss 30.- On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness.- Capture the Devil in the Details via Partition-then-Ensemble on Higher Resolution Images.- Unconditionally Generated and Pseudo-Labeled Synthetic Images for Diabetic Foot Ulcer Segmentation Dataset Extension.-Post Challenge Paper.- Diabetic Foot Ulcer Segmentation Using Convolutional and Transformer-based Refined Mixup Augmentation for Diabetic Foot Ulcer Segmentation.- Organization IX DFU-Ens: End-to-End Diabetic Foot Ulcer Segmentation Framework with Vision Transformer Based Detection.- Summary Paper.- Diabetic Foot Ulcer Grand Challenge 2022 Summary.

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Book SynopsisThis book covers the theory of multidimensional signals and systems and related practical aspects. It extends the properties and mathematical tools of one-dimensional signals and systems to multiple dimensions and covers relevant timeless topics including multidimensional transformations, multidimensional sampling as well as discrete multidimensional systems. A special emphasis is placed on physical systems described by partial differential equations, the construction of suitable integral transformations and the implementation of the corresponding discrete-time algorithms. To this end, signal spaces and functional transformations are introduced at a mathematical level provided by undergraduate programs in engineering and science.The presentation takes a comprehensive, illustrative and educational approach without reference to a particular application field. Instead, the book builds a solid theoretical concept of multidimensional signals and systems and shows the application to various problems relevant for practical scenarios.Table of Contents

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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 two-volume set LNCS 13971 + 13972 constitutes the refereed proceedings of the 18th International Conference on Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, held in March 2023.The 36 full papers and the 46 short papers presented in these proceedings were carefully reviewed and selected from 197 submissions. They cover topics such as: Archives and Records, Behavioral Research, Information Governance and Ethics, AI and Machine Learning, Data Science, Information and Digital literacy, Cultural Perspectives, Knowledge Management and Intellectual Capital, Social Media and Digital Networks, Libraries, Human-Computer Interaction and Technology, Information Retrieval, Community Informatics, and Digital Information Infrastructure.Table of ContentsArchives and Records.- Are We Missing the Cybersecurity Factors in Recordkeeping?.- Recovering and Reusing Historical Data for Science: Retrospective Curation Practices Across Disciplines.- Receipts: A Case Study of the Sonja Ahlers Archive as Platform Feminism.- Standing on the Outside Looking in: Testing the Concept of Societal Embeddedness from a User and Pluralizing Perspective.- Plus ça change, plus c'est la même chose – The Australian Records Management Case.- Information Sustainability in Rural Bangladesh: the Use of Analogue and Digital Backups.- Measuring Users’ Awareness of Content Recommendation Algorithm: A Survey on Douyin Users in Rural China.- Investigating Factors Influencing Open Government from a Country’s Perspective.- Lex Informatica and Freedom of Expression: Reflections on the Regulation of Internet Trolling Behaviors.- AI & Machine Learning.- “That’s not Damning with Faint Praise”: Understanding the Adoption of Artificial Intelligence for Digital Preservation Tasks.- Effects of Increasing Working Opportunity on Result Quality in Labor-Intensive Crowdsourcing.- Aligning Visual and Lexical Semantics.- An Analysis of Classification Approaches for Hit Song Prediction using Engineered Metadata Features with Lyrics and Audio.- How Many Features Do We Need to Identify Bots on Twitter?.- Data Science.- Disparity in the Evolving COVID-19 Collaboration Network.- Text Mining and Visualization of Political Party Programmes Using Keyword Extraction Methods: The Case of Portuguese Legislative Elections.- Exploring the Impact of the Quality of Social Media Early Adopters on Vaccine Adoption.- Characterizing Data Practices in Research Papers across Four Disciplines.- Information and Digital literacy.- Fighting Misinformation: Where Are We and Where to Go.- The Potential of Digital Literacy to Curb Problematic Information: An Integrative Literature Review.- Coding Funds of Knowledge in [media lab] Student Stories about Technologies.- An Exploratory Study of Intergenerational Technical Help from the Youth’s Perspective.- Exploring the Association Between Multiple Classifications and Journal Rankings.- The Design, Development, and Implementation of an LIS General Education Course for Non-LIS University Students in the Philippines.- “It's nice to Mix up the Rhythm”: Undergraduates’ Experiences in a Large Blended Learning Course in Information Science in the Context of COVID-19.- Visual Information Processing in Virtual Reality: Merging Theory and Practice.- From Noisy Data to Useful Color Palettes: One Step in Making Biodiversity Data FAIR.- Cultural Perspectives.- “Will the Day Ever Come When We Will Be Judged on Our Merit and Not on Our Blackness?” The Black Caucus of the American Library Association and the Long Freedom Struggle in the United States, 1970-1975.- How Inclusive are the International Conferences? Attending Conferences in an Unequal World.- Locating Black Information Lives: “Scoping” the literature on African American Genealogical Researchers.- Do you speak meme? A Dynamic Digital Language for the Information Society.

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Book SynopsisThis book presents applicable guidance into sensor system hardware and software design, extensions, and integration aimed at utilization of 1-wire networks. The hardware part consists of the design of specific solutions for sensor data collection and the design and integration of standard and special sensors into these solutions.

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Book SynopsisThis textbook provides a thorough yet compact review of cloud technologies. It offers easy to understand explanations of the technical concepts underlying cloud services, platforms, and applications offered by Amazon Web Services (AWS), Microsoft Azure, and the Google Cloud Platform (GCP). It presents cloud concepts at a depth that can be understood and applied by both technical and non-technical readers. Once that is accomplished the learner can then easily move toward more advanced topics. Or, they can use the knowledge gained from this book to obtain industry certifications and be competitive in this exciting industry. Reader learning is enhanced with quizzes and exam questions and hands-on labs throughout the book with PowerPoint slides, instructor guide and additional labs online. All the tools needed for advancement to the level of cloud architect are found in this book. The author has verified the success of this approach in his own academic environment with much success. He teaches Cloud Engineering and Advanced Cloud Engineering at Southern Methodist University. Both courses were developed in partnership with the AWS Academy, the education arm of the Amazon Web Services cloud platform. Using this methodology his students routinely take and pass cloud certification exams and obtain lucrative employment positions in the rapidly expanding cloud industry.Table of ContentsPart 1: Introduction to Cloud Computing Chapter 1: Cloud Computing Concepts Part 2: Cloud Networking Chapter 2: Basic Networking Chapter 3: Network Addressing and Protocols Chapter 4: Bringing It All Together Part 3: Public Cloud Providers Chapter 5: Well-Architected Framework Chapter 6: Amazon Web Services (AWS) Chapter 7: Microsoft Azure Chapter 8: Google Cloud Platform (GCP) Part 4: AWS, AZURE and GCP Labs Chapter 9: Amazon Web Services (AWS) Lab Chapter 10: Microsoft Azure Lab Chapter 11: Google Cloud Platform (GCP) Part 5: Conclusion Chapter 12: Comparing AWS, Azure, and GCP Chapter 13: Cloud Certifications Chapter 14: Cloud Trends

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Book SynopsisThis open access book offers a timely and comprehensive review of the field of neurotronics. Gathering cutting-edge contributions from neuroscientists, biologists, psychologists, as well as physicists, microelectronics engineers and information scientists, it gives extensive information on fundamental information pathways in selected nervous systems. It also highlights their relevance as building blocks for novel computing architectures, such as bio-inspired electronic devices, neuromorphic architectures, memristive devices, adaptive sensors and emergent, pulsed-coupled oscillatory networks. All in all, this book offers a unique bridge between fundamental research in neuroscience, neural information processing, nonlinear dynamics, and self-organization, and advanced practical applications concerning the fabrication of hardware-oriented computing.Table of ContentsMatter & Mind Matter.- Neuromorphic circuits with redox-based memristive devices.- Redox-based bi-layer oxide metal memristive devices.- MemFlash – Floating Gate Transistors as Memristors.- Critical discussion of ex situ and in situ TEM measurements of memristive devices.- Modeling and Simulation of of Silver-based Filamentary Memristive Devices.- Bio-inspired, neuromorphic acoustic sensing.

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Book SynopsisThis book investigates the image watermarking domain, analyzing and comparing image watermarking techniques that exist in current literature. The author’s goal is to aid researchers and students in their studies in the vast and important domain of image watermarking, including its advantages and risks. The book has three chapters: image watermarking using data compression; speech modulation for image watermarking; and secure image watermarking based on LWT and SVD.In addition, this book: Investigates the image watermarking domain, analyzing and comparing current image watermarking techniques Includes detail on image encryption and mathematical tools used for image watermarking Covers image watermarking using data compression, speech modulation for image watermarking, and more Table of ContentsIntroduction.- Image watermarking using data compression.- Speech modulation for image watermarking.- Secure Image Watermarking Based on LWT and SVD.- Speech Signal Embedding into Digital Images Using Encryption and Watermarking Techniques.- Conclusion.

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Book SynopsisThis book constitutes the proceedings of the 21st International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2023, held in Kumamoto, Japan, during August 2023. The 31 papers presented in this volume were carefully reviewed and selected from a total of 48 submissions. They were organized in topical sections named: Computer Vision, Affective Computing and Human Interactions, Managing the Biodiversity, Robotics and Drones, Machine Learning.Table of ContentsA hybrid quantum-classical segment-based Stereo Matching algorithm.- Continuous Exposure for Extreme Low-Light Imaging.- Semi-supervised Classification and Segmentation of Forest Fire using Autoencoders.- Descriptive and coherent paragraph generation for image paragraph captioning using vision transformer and post-processing.- Pyramid Swin Transformer for Multi-Task: Expanding to more computer vision tasks.- Person activity classification from an aerial sensor based on a multi-level deep features.- Person Quick-Search Approach based on a Facial Semantic Attributes Description.- Age-Invariant Face Recognition using Face Feature Vectors and Embedded Prototype Subspace Classifiers.- BENet: A lightweight bottom-up framework for context-aware emotion recognition.- Yolopoint: Joint Keypoint and Object Detection.- Less-than-one shot 3d segmentation hijacking a pre-trained space-time memory network.- Segmentation of Range-Azimuth Maps of FMCW radars with a deep convolutional neural network.- Segmentation of Range-Azimuth Maps of FMCW radars with a deep convolutional neural network.- A Single Image Neuro-Geometric Depth Estimation.- Wave-shaping Neural Activation for Improved 3D Model Reconstruction from Sparse Point Clouds.- A Deep Learning Approach to Segment High-Content Images of the E.coli Bacteria.- Multimodal Emotion Recognition System Through Three Different Channels (MER-3C).- Multi-Modal Obstacle Avoidance in USVs via Anomaly Detection and Cascaded Datasets.- A Contrario Mosaic Analysis for Image Forensics.- IRIS SEGMENTATION TECHNIQUE USING IRIS-UNet METHOD.- Image Acquisition by Image Retrieval with Color Aesthetics.- Improved Obstructed Facial Feature Reconstruction for Emotion Recognition with Minimal Change CycleGANs.- Quality assessment for high dynamic range stereoscopic omnidirectional image system.- Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging.- Reinforcement Learning for truck Eco-driving: a serious game as driving assistance system.- Underwater mussel segmentation using smoothed shape descriptors with random forest.- A 2D Cortical Flat Map Space for Computationally Efficient Mammalian Brain simulation.- Construction of a novel data set for pedestrian tree species detection using google street view data.- Texture-based Data Augmentation for Small Datasets.- Multimodal Representations for Teacher-Guided Compositional Visual Reasoning.- Enhanced Color QR Codes with Resilient Error Correction for Dirt-Prone Surfaces.

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Book SynopsisIndustrial Electronics is a branch of electronics, which is used for industrial applications. It plays a crucial role in the efficient and smooth operation of manufacturing facilities and industrial processes. This book introduces the commonly used building blocks in industrial electronics. The reader learns which circuit can be used for which application. It is suitable as a laboratory manual for courses like: industrial electronics or power electronics.Table of ContentsCommonly Used Laboratory Equipment.- Different Types of Switches.- Thyristors and Triacs.- Power Supply Circuits.- DC-DC Converters.- Filter and Comparator Circuits.- Control of DC Motors.- Delay Circuits.- Appendix A: Drawing Graphs with MATLAB®.

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Book SynopsisThis book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29 – February 2, 2024.The 112 full papers included in this volume were carefully reviewed and selected from 297 submissions. The MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.Table of ContentsWhere are Biases? Adversarial Debiasing with Spurious Feature Visualization.- Cross-Modal Hash Retrieval with Category Semantics.- Spatiotemporal Representation Enhanced ViT for Video Recognition.- SCFormer: A Vision Transformer with Split Channel in Sitting Posture Recognition.- Dive into Coarse-to-Fine Strategy in Single Image Deblurring.- TICondition: Expanding Control Capabilities for Text-to-Image Generation with Multi-Modal Conditions.- Enhancing Generative Generalized Zero Shot Learning via Multi-Space Constraints and Adapative Integration.- Joint Image Data Hiding and Rate-Distortion Optimization in Neural Compressed Latent Representations.- GSUNet: A Brain Tumor Segmentation Method Based On 3D Ghost Shuffle U-Net.- ACT: Action-associated and Target-related Representations for Object Navigation.- Foreground Feature Enhancement and Peak & Background Suppression for Fine-Grained Visual Classification.- YOLOv5-SRR: Enhancing YOLOv5 for Effective Underwater Target Detection.- Image Clustering and Generation with HDGMVAE-I.- “Car or Bus?" CLearSeg: CLIP-enhanced Discrimination among Resembling Classes for Few-Shot Semantic Segmentation.- PANDA: Prompt-based Context- and Indoor-aware Pretraining for Vision and Language Navigation.- Cross-Modal Semantic Alignment Learning for Text-based Person Search.- Point Cloud Classification via Learnable Memory Bank.- Adversarially Regularized Low-Light Image Enhancement.- Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation.- PMGCN:Preserving measuring mapping prototype graph calibration network for few-shot learning.- ARE-CAM: An interpretable approach to quantitatively evaluating the adversarial robustness of deep models based on CAM.- SSK-Yolo:Global feature-driven small object detection network for images.- MetaVSR: A Novel Approach to Video Super-Resolution for Arbitrary Magnification.- From Skulls to Faces: A Deep Generative Framework for Realistic 3D Craniofacial Reconstruction.- Structure-aware Adaptive Hybrid Interaction Modeling for Image-Text Matching.- Using Saliency and Cropping to Improve Video Memorability.- Contextual Augmentation with Bias Adaptive for Few-shot VideoObject Segmentation.- A lightweight local attention network for image super resolution.- Domain Adaptation for Speaker Verification Based on Self-SupervisedLearning with Adversarial Training.- Quality Scalable Video Coding based on Neural Representation.- Hierarchical Bi-Directional Temporal Context Mining for ImprovedVideo Compression.- MAMixer: Multivariate Time Series Forecasting via Multi-Axis Mixing.- A Custom GAN-based Robust Algorithm for Medical Image Watermarking.- A Detail-guided Multi-source Fusion Network for Remote Sensing Object Detection.- A Secure and Fair Federated Learning Protocol under the Universal Composability Framework.- Bi-directional Interaction and Dense Aggregation Network for RGB-D Salient Object Detection.- Face Forgery Detection via Texture and Saliency Enhancement.

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Book SynopsisThis textbook for a one semester introductory course in digital signal processing for senior undergraduate and first year graduate students in electrical and computer engineering departments is concise, highly readable, and yet provides comprehensive coverage of the topic.

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Book SynopsisIntroduction to Machine Learning.- Foundations of Machine Learning.- Deep Learning and cloud computing.- Cloud Computing Concepts.- Practical Aspects in Machine Learning.- Artificial Intelligence and Information Security.- Examples of Analytics in the Cloud.- A case study of Data Collection and Analytics in the Cloud.- Future trends in Hardware based AI and ML.

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Book SynopsisIntroduction to Important Concepts of RF Microwave and Millimeter Wave Technologies.- Finite Circular Ground Plane Effects A Case Study of Monopole Antenna.- Mode Compression Theory Dipole Antennas.- Multiple resonators loaded Electrically small antennas for wireless devices.- Textile Antennas for RFID Applications.- Recent Trends in the Design and Development of Dielectric Resonator Antennas.- A Low Profile Perturbed Convex Conformal CDRA.- Offset fed Reflectarray Antenna Design.- Antennas for Full duplex Communication State of the art and Way Forward.- Understanding Metasurface Based Microwave Absorbers Using Transmission Line Theory.- Frequency Selective Surface and its Applications in Radome Technology.- Algorithmic Applications for Massive MIMO Technology.- Regression model for Antenna Design.

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Book SynopsisChapter 1. Introduction.- Chapter 2. Optical lithography.- Chapter 3. Electron beam lithography.- Chapter 4. Nanofabrication by focused ion beam.- Chapter 5. Tip-based nanofabrication.- Chapter 6. Nanoimprinting lithography.- Chapter 7. Nanoscale pattern transfer by etching.- Chapter 8. Nanoscale pattern transfer by deposition.- Chapter 9. Indirect nanofabrication.- Chapter 10. Nanofabrication by self-assembly.- Chapter 11. Applications of nanofabrication.- Chapter 9. Policing and investigating criminal activities by gangs using e-bikes, e-scooters and e-motorcycles in the United Kingdom.- Part IV-Police and Community Outreach and Collaboration. .- Chapter 10. Initiatives to improve Police Community Collaboration and Trust.- Chapter 11. Understanding the Implementation of Community-oriented Policing in the New Zealand Police.

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Book SynopsisIntroduction.- The Use of Matlab/Simulink for Modeling of Photovoltaic Module.- Matlab/Simulink and Experimental Studies of Shading Effect on a Photovoltaic Array.- Modelling of Novel Architecture of PV Generator Based on a-Si.- Modeling of Photovoltaic Panel using Matlab/Simulink and application of P & O Algorithm.- Modeling of a PV Panel and Application of Maximum Power Point Tracking Command based on ANN.- Conclusion.

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Book SynopsisChapter 1 Introduction to 6G Enabled Healthcare Systems.- Chapter 2 6G techniques.- Chapter 3 AI techniques.- Chapter 4 IoT system and Implementation.- Chapter 5 Role of IoT in Healthcare systems: Application and Implementation.- Chapter 6 KPIs, use cases and applications for 6G healthcare systems.- Chapter 7 6G enabled healthcare systems.

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Book SynopsisIntroduction.- Modeling of Microwave Antenna Devices.- Simulation of an Antenna Device with Frequency Scanning.- Mathematical Modeling of the Antenna Devices of the Microwave Range.- Modeling of navigation, satellite, smart antenna and waveguide systems.- Development of a High Gain Smart Antenna Device.- Experimental Study of Microwave Waveguide Systems.- Experimental research of the characteristics of rectangular waveguide.- Conclusion.

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Book Synopsis

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