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• Introduction
• Definitions and Basic Properties
• Minimization of Variables: Exact Method
• Minimization of Variables: Heuristic Method
• Two-Class Functions
• Linear Decomposition
• Data Mining and Machine Learning
• Functions with Multi-Valued Inputs
• Easily Reconstructable Functions
• Functions with Continuous Variables
• References
• Conclusions

This book introduces a novel perspective on machine learning, offering distinct advantages over neural network-based techniques. This approach boasts a reduced hardware requirement, lower power consumption, and enhanced interpretability. The applications of this approach encompass high-speed classifications, including packet classification, network intrusion detection, and exotic particle detection in high-energy physics. Moreover, it finds utility in medical diagnosis scenarios characterized by small training sets and imbalanced data. The resulting rule generated by this method can be implemented either in software or hardware. In the case of hardware implementation, circuit design can employ look-up tables (memory), rather than threshold gates. The methodology described in this book involves extracting a set of rules from a training set, composed of categorical variable vectors and their corresponding classes. Unnecessary variables are eliminated, and the rules are simplified before being transformed into a sum-of-products (SOP) form. The resulting SOP exhibits the ability to generalize and predict outputs for new inputs. The effectiveness of this approach is demonstrated through numerous examples and experimental results using the University of California-Irvine (UCI) dataset. This book is primarily intended for graduate students and researchers in the fields of logic synthesis, machine learning, and data mining. It assumes a foundational understanding of logic synthesis, while familiarity with linear algebra and statistics would be beneficial for readers

"Substantially expanded and updated, the new edition of this classic provides unrivaled coverage of the fundamentals of power electronics. Unique in its breadth and depth, this is the definitive guide to power electronics for senior undergraduate and graduate students, and practicing electrical engineers"-- Provided by publisher.

• Signal Processing of Ground Penetrating Radar Based on MED Technology.- Application Analysis of Information Security Technology in Credit Card System.- A Job Recommendation System Based on Student and Category Similarity Computation.- Correct Modeling of SH 50ETF Option Implied Volatility Based on Neural Network.- International Trade Strategy of SMEs Based on Blockchain Technology.- Information Collection Analysis and Processing of Digital Substation Based on Artificial Intelligence.- Computer Network Monitoring and Analysis Method Based on Petri Net.- Fuzzy Control Method Based on Dynamic Self-Optimization.- Application of Data Encryption Technology in Computer Software Testing.- New Rural Intelligent Pension Model Based on Big Data Technology.- Application of Dual-Loop Control Algorithm Simulation Technology in Power Regulation of New Energy Grid.- Mine Safety Monitoring and Early Warning System Based on 5G Network Technology.- The Influence of Fintech on the Performance of Commercial Bank Based on Big Data Analysis.- Research and Design of Soft Switch Technology in New Energy Vehicle Wireless Charging System.- High Dimensional Data Visualization Analysis Based on Unsupervised Laplacian Score.
• (source: Nielsen Book Data)

This book contains papers presented at the 2021 International Conference on Smart Technologies and Systems for Internet of Things, held on November 26-27, 2021, in Shanghai, China. It covers topics like distributed processing for sensor data in CPS networks, approximate reasoning and pattern recognition for CPS networks, distributed processing in mobile networking, data analytics for social media sensor data integration, data platforms for efficient integration with CPS networks, virtualized and cloud-oriented resources for data processing for CPS networks, machine learning algorithms for CPS networks, data security and privacy in CPS networks, sensor fusion algorithms, sensor signal processing, data acquisition and preprocessing technology, intelligent computing, data mining methods and algorithms, big data system solutions and tools platform, intelligent control and intelligent management, and operational situation awareness utilizing big data-driven intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in related areas.
(source: Nielsen Book Data)

• Evolution and development path of the power system
• Resilience assessment, analysis and planning of power system
• Power system planning and reliability
• Modelling and simulation of novel power system
• Power electronic for power system stability analysis
• Power system relay protection and automation
• Power system operation and dispatch, communication and control
• Energy Internet and Integrated Energy System
• P2H, energy storage and electric vehicles
• Distributed Energy and Microgrid
• Novel power system resilience and chain fault modelling
• Electricity quality and energy saving
• Artificial intelligence, big data and other ICT technologies and smart grid applications
• Smart substation and smart distribution network
• Power info-physical society convergence system
• Power equipment testing and fault diagnosis
• High voltage DC transmission and flexible AC/DC transmission
• Electrotechnical theory and novel technology
• Electricity market
• High voltage engineering
• Development and practice of electricity education.

This book includes original, peer-reviewed research papers from the 37th Annual Conference of Power System and Automation in Chinese Universities (CUS-EPSA), held in Hangzhou, China on October 23-25, 2022. These papers cover topics as Evolution and development path of the power system, Resilience assessment, analysis and planning of power system, Power system planning and reliability, Modelling and simulation of novel power system, Power electronic for power system stability analysis, Power system relay protection and automation and so on. The papers included in this proceedings share the latest research results and practical application examples on the methodologies and algorithms in these areas, which makes the book a valuable reference for researchers, engineers, and university students.

• Cover
• Title Page
• Copyright and Credits
• Dedication
• Foreword
• Contributors
• Table of Contents
• Preface
• Part 1: Turn a Real Reference into a Realistic 3D Scene in Blender
• Chapter 1: Most Common Modeling Mistakes That Prevent You from Achieving Photorealism
• Technical requirements
• The importance of using a real-world scale
• Learning scale matching using fSpy
• Downloading fSpy
• Breaking down the fSpy tools
• Adjusting the focal length
• Exporting the fSpy file
• Building our scene
• The importance of using the bevel modifier when modeling
• Summary

• Chapter 2: The Basics of Realistic Texturing in Blender
• Technical requirements
• Exploring the components for achieving photorealistic texturing in Blender
• The Base Color map
• The Roughness map
• The Normal map
• The Displacement map
• Creating a realistic wood material using procedural texturing in Blender
• The Mix node
• Adding color to the wood texture using the ColorRamp node
• Adding wood reflection using the Roughness map
• Adding bumps to the surface of the wood material
• Summary
• Chapter 3: Efficient Unwrapping and Texturing in Blender
• Technical requirements

• Importing the wood material
• Texturing our wood cabin
• What is UV mapping?
• Unwrapping the wood cabin
• Summary
• Chapter 4: Creating Realistic Natural Plants in Blender
• Technical requirements
• Modeling realistic natural ground
• Creating the plants and leaves
• Creating a green leaf
• Applying a Subdivision modifier to the leaf
• Texturing the leaf
• Creating the second type of plant
• Creating the dry leaves
• Texturing a realistic natural ground
• Using a particle system to scatter plants and leaves in our scene
• Adding the second type of plants
• Summary

• Chapter 5: Achieve Photorealistic Lighting in Your Environment with Blender
• Technical requirements
• Differences between the three render engines of Blender
• Using the sun to emit realistic lighting
• The Kelvin scale
• Applying the Kelvin temperature scale to the sun using the Blackbody node
• Rendering our scene
• Adding a background to your render
• Using a Blender Sky Texture node to light our environment
• Lighting our wood cabin with lamp objects
• Setting up realistic lighting using HDRI maps
• How to set up an HDRI environment background for our scene
• Summary

• Part 2: Creating Realistic Landscapes in Blender
• Chapter 6: Creating Realistic Landscapes in Blender
• Technical requirements
• Enabling the A.N.T. landscapes add-on
• Creating landscapes using the A.N.T add-on
• Tweaking the shape of the landscape
• Giving the landscape a real-scale measurement
• Creating a realistic snowy mountain
• Using the Separate XYZ node
• Using the node wrangler to display nodes
• Adding the Rocks texture to our mountain
• Adding Sky Texture to lighten our world
• Rendering our mountain with the Displacement map applied

Blender is a powerful tool for creating all kinds of visual assets, but with such power comes complexity. Creating a photorealistic 3D scene seems like a Herculean task for more than 90% of 3D designers, but don't be discouraged! 3D Environment Design with Blender will get you up and running. This practical guide helps reduce the complexity of 3D environment design, advance your Blender skills, and produce lifelike scenes and animations in a time-efficient manner. You'll start by learning how to fix the most common mistakes 3D designers make with modeling and scale matching that stop them from achieving photorealism. Next, you'll understand the basics of realistic texturing, efficient unwrapping and achieving photorealistic lighting by turning an actual reference of a wood cabin into a realistic 3D scene. These skills will be used and expanded as you build a realistic 3D environment with natural assets and materials that you'll create from scratch. Once you've developed your natural environment, you'll advance to creating realistic render shots by applying cool camera features, and compositing tricks that will make your final render look photorealistic and pleasing to the eye. By the end of this book, you'll be able to implement modeling tricks and best practices to make your 3D environments look stunningly lifelike.

• Intro
• Preface
• Contents
• About the Editors
• 1 A Review of Temporal Network Analysis and Applications
• 1.1 Introduction
• 1.2 Modeling and Representations of Temporal Networks
• 1.3 Structural Properties and Statistical Characteristics
• 1.3.1 Temporal Motifs and Community Structures
• 1.3.2 Paths and Distances
• 1.3.3 Centrality Metrics
• 1.4 Application Analysis
• 1.4.1 Important Node Analysis
• 1.4.2 Link Prediction
• 1.4.3 Community Segmentation
• 1.4.4 Influence Maximization
• 1.4.5 Analysis Tools
• 1.5 The Future Outlook
• References

• 2 A Knowledge Representation Method for Hierarchical Diagnosis Decision-Making Under Uncertain Conditions
• 2.1 Introduction
• 2.2 Hierarchical Diagnosis Decision-Making Knowledge Classification
• 2.3 Hierarchical Diagnosis Decision-Making Knowledge Ontology Modeling
• 2.3.1 Hierarchical Diagnosis Decision-Making Knowledge Representation Model
• 2.3.2 Hierarchical Diagnosis Decision-Making Knowledge Representation Model
• 2.4 The Semantic Level of Hierarchical Diagnosis Decision-Making and Its Knowledge Relevance
• 2.4.1 Device Domain Ontology Semantics and Their Relationships

• 2.4.2 Process Domain Ontology Semantics and Their Relationships
• 2.4.3 Diagnostic Domain Ontology Semantics and Their Relationships
• 2.4.4 Maintenance Decision Domain Ontology Semantics and Their Relationships
• 2.5 Conclusions
• References
• 3 Research and Implementation of Hybrid Storage Method for Multi-source Heterogeneous Data of Electric Distribution Network
• 3.1 Introduction
• 3.2 Related Work
• 3.3 Research on the Method of Hybrid Storage Method for Multi-source Heterogeneous Data of Electric Distribution Network
• 3.3.1 Characteristics of Electric Distribution Network Data

• 3.3.2 Hybrid Storage Method for Multi-source Heterogeneous Data of Electric Distribution Network
• 3.4 Implementation of the Method of Hybrid Storage for Multi-source Heterogeneous Data of Electric Distribution Network
• 3.4.1 Design of Hybrid Storage Framework for Power Distribution Data
• 3.4.2 Implementation of Hybrid Storage Management System for Power Distribution Data
• 3.5 Application Results
• References
• 4 Research on Measuring Method of Ball Indentation Based on MATLAB Image Edge Detection
• 4.1 Introduction
• 4.2 Indentation Measurement
• 4.3 Edge Detection

• 4.4 Technical Scheme
• 4.4.1 Measurement Steps and Methods
• 4.4.2 Simulation Result
• 4.5 Concluding Remarks
• References
• 5 Multi-feature Extraction of Mineral Zone of Tabling Through Deep Semantic Segmentation
• 5.1 Introduction
• 5.2 Process and Method
• 5.2.1 Acquisition and Production of Datasets
• 5.2.2 Construction of Deep Segmentation Model
• 5.2.3 Training Results of Deep Segmentation Model
• 5.2.4 Evaluation of Prediction Results of Deep Semantic Segmentation Model
• 5.3 Multi-scale Geometric Feature Characterization and Extraction of Mineral Zone

This book presents high-quality research in the field of 3D imaging technology. The fourth edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first three editions of the conference to provide a wide scientific forum for researchers, academia, and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in two volumes. The main topics of the papers comprise famous trends as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, and many related areas. The first volume contains papers in 3D image processing, transforms, and technologies. The second volume is about computing and information technologies, computer images and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches.

"As discussed in the introductory chapter of this textbook, power electronics is an enabling technology for powering information technology and making factory automation feasible. In addition, power electronics has a crucial role to play in providing sustainable electric energy. Most scientists now believe that carbon-based fuels for energy production con- tribute to climate change, which is a serious threat facing human civilization. In the United States, the Department of Energy reports that approximately 40% of all the energy consumed is first converted into electricity. Potentially, use of electric and plug-in hybrid cars, high speed rails, and so on may increase this to even 60%. Therefore, it is essential that we generate electricity from renewable sources such as wind and solar, which at present represent only slightly over 4%, build the next-generation smarter and robust grid to utilize renewable resources often in remote locations, and use electricity in more energy-efficient ways. Undoubtedly, using electricity efficiently and generating it from renewable sources are the twin pillars of sustainability, and as described in this textbook, power electronic systems are a key to them both."-- Provided by publisher.

"As discussed in the introductory chapter of this textbook, power electronics is an enabling technology for powering information technology and making factory automation feasible. In addition, power electronics has a crucial role to play in providing sustainable electric energy. Most scientists now believe that carbon-based fuels for energy production con- tribute to climate change, which is a serious threat facing human civilization. In the United States, the Department of Energy reports that approximately 40% of all the energy consumed is first converted into electricity. Potentially, use of electric and plug-in hybrid cars, high speed rails, and so on may increase this to even 60%. Therefore, it is essential that we generate electricity from renewable sources such as wind and solar, which at present represent only slightly over 4%, build the next-generation smarter and robust grid to utilize renewable resources often in remote locations, and use electricity in more energy-efficient ways. Undoubtedly, using electricity efficiently and generating it from renewable sources are the twin pillars of sustainability, and as described in this textbook, power electronic systems are a key to them both."-- Provided by publisher.

"Mobile network evolves with new system generations bringing higher speeds and new service capabilities, with improved system architectures and novel radio technologies. With this evolution 5G mobile backhaul and fronthaul play an increasing role with new challenges in matching the new 5G system capabilities. With 5G higher peak rates are for sure an important enhancement like it was with 4G. This is just a single item however. 5G is the most versatile mobile system so far which supports not only traditional mobile broadband but also new industrial and enterprise use cases with building blocks like network slicing for unique services. URLLC service extends 5G capability to applications which were previously not possible in a mobile system. 5G network is built to serve different use cases and customers and these impact also transport. New high frequency bands mean not only high capacity, but also a potentially huge amount of small cells. As well, radio signals from outdoor sites are heavily attenuated indoors. So indoor solutions will be required for coverage with related connectivity solutions."-- Provided by publisher.

• Front Matter
• Introduction
• Metaverse: The New North Star
• The Multiverse: Infinite Possibility
• 6G Vision and Next G Alliance Roadmap
• 6G Post-Smartphone Era: XR and Hybrid-Augmented Intelligence
• Web3 and Token Engineering
• From Robonomics to Tokenomics
• Society 5.0: Internet As If People Mattered
• Metahuman: Unleashing the Infinite Potential of Humans
• Opportunities vs. Risks
• Conclusion and Outlook
• Epilogue
• Index
• The ComSoc Guides to Communications Technologies

This book weaves emerging themes in future 6G and Next G networks carefully together. It points to three spheres of contexts with different narratives for the year 2030 and beyond, in which the coming Metaverse as the precursor of the future Multiverse can be embedded naturally. The book aims at providing the reader with new cross-disciplinary research material, ranging from communication and computer science to cognitive science, social sciences, and behavioral economics, for building a deeper Metaverse. It will be instrumental in helping the reader find and overcome some of the most common 6G and Next G blind spots. Modern networks are more than communication and computer science. They may be better viewed as techno-social systems that exhibit complex adaptive system behavior and resemble biological superorganisms. 6G and especially Next G should go beyond continuing the linear incremental 6G=5G+1G mindset of past generations of mobile networks. To this end, the book: Helps readers inquire into new areas of knowledge or understanding that they didn't have or didn't pay attention to find their 6G/Next G blind spots Highlights the unique potential benefits of the virtual world for society in that it provides a useful extension of the real-world economy by compensating for its well-known market failures, e.g., rising income inequality Provides a comprehensive description of the original Metaverse vision and highlights the different Metaverse components, applications, open research challenges, and early Metaverse deployment examples from both industry and academia Describes how the Multiverse goes beyond the Metaverse origins and explores the importance of experience innovation since experiences play a central role in the Metaverse Explains Web3 and the emerging field of token engineering and tokenization, i.e., the process of creating tokenized digital twins via programmable tokens, which are viewed as the killer application of Web3 networks for creating technology-enabled social organisms and restoring tech-driven common goods Reviews anticipated 6G paradigm shifts and elaborates on the difference between 6G and Next G research, including Next G Alliance's audacious goals and their symbiotic relationship between technology and a population's societal and economic needs Doubles down on the mutually beneficial symbiosis between digitalization and biologization for our possible evolution into future metahumans with infinite capabilities by making us smarter and creating a fundamentally new form of sociality in the Metaverse and Multiverse as well as the future stigmergy enhanced Society 5.0 by leveraging on time-tested self-organization mechanisms borrowed from nature Presents a variety of different concepts of the true nature of reality that bring us closer to the original Metaverse vision and explains how 6G, Next G, and the Metaverse may eventually pave the way to the peak-experience machine that democratizes access to the upper range of human experiences Touches on the possible transition from communication to services beyond communication, most notably the cross-cultural phenomenon of communitas in anthropology and its increasing degrees of perceived connectedness with others, the world, and oneself, given the importance of creating a deep sense of community in the Metaverse Written for students, network researchers, professionals, engineers, and practitioners, 6G and Onward to Next G: The Road to the Multiverse explores the latest Internet developments, with a particular focus on 6G and Next G networks in the context of the emerging Metaverse and future Multiverse as the successors of today's mobile Internet that has defined the last two decades.

• Front Matter
• Introduction
• Metaverse: The New North Star
• The Multiverse: Infinite Possibility
• 6G Vision and Next G Alliance Roadmap
• 6G Post-Smartphone Era: XR and Hybrid-Augmented Intelligence
• Web3 and Token Engineering
• From Robonomics to Tokenomics
• Society 5.0: Internet As If People Mattered
• Metahuman: Unleashing the Infinite Potential of Humans
• Opportunities vs. Risks
• Conclusion and Outlook
• Epilogue
• Index
• The ComSoc Guides to Communications Technologies

This book weaves emerging themes in future 6G and Next G networks carefully together. It points to three spheres of contexts with different narratives for the year 2030 and beyond, in which the coming Metaverse as the precursor of the future Multiverse can be embedded naturally. The book aims at providing the reader with new cross-disciplinary research material, ranging from communication and computer science to cognitive science, social sciences, and behavioral economics, for building a deeper Metaverse. It will be instrumental in helping the reader find and overcome some of the most common 6G and Next G blind spots. Modern networks are more than communication and computer science. They may be better viewed as techno-social systems that exhibit complex adaptive system behavior and resemble biological superorganisms. 6G and especially Next G should go beyond continuing the linear incremental 6G=5G+1G mindset of past generations of mobile networks. To this end, the book: Helps readers inquire into new areas of knowledge or understanding that they didn't have or didn't pay attention to find their 6G/Next G blind spots Highlights the unique potential benefits of the virtual world for society in that it provides a useful extension of the real-world economy by compensating for its well-known market failures, e.g., rising income inequality Provides a comprehensive description of the original Metaverse vision and highlights the different Metaverse components, applications, open research challenges, and early Metaverse deployment examples from both industry and academia Describes how the Multiverse goes beyond the Metaverse origins and explores the importance of experience innovation since experiences play a central role in the Metaverse Explains Web3 and the emerging field of token engineering and tokenization, i.e., the process of creating tokenized digital twins via programmable tokens, which are viewed as the killer application of Web3 networks for creating technology-enabled social organisms and restoring tech-driven common goods Reviews anticipated 6G paradigm shifts and elaborates on the difference between 6G and Next G research, including Next G Alliance's audacious goals and their symbiotic relationship between technology and a population's societal and economic needs Doubles down on the mutually beneficial symbiosis between digitalization and biologization for our possible evolution into future metahumans with infinite capabilities by making us smarter and creating a fundamentally new form of sociality in the Metaverse and Multiverse as well as the future stigmergy enhanced Society 5.0 by leveraging on time-tested self-organization mechanisms borrowed from nature Presents a variety of different concepts of the true nature of reality that bring us closer to the original Metaverse vision and explains how 6G, Next G, and the Metaverse may eventually pave the way to the peak-experience machine that democratizes access to the upper range of human experiences Touches on the possible transition from communication to services beyond communication, most notably the cross-cultural phenomenon of communitas in anthropology and its increasing degrees of perceived connectedness with others, the world, and oneself, given the importance of creating a deep sense of community in the Metaverse Written for students, network researchers, professionals, engineers, and practitioners, 6G and Onward to Next G: The Road to the Multiverse explores the latest Internet developments, with a particular focus on 6G and Next G networks in the context of the emerging Metaverse and future Multiverse as the successors of today's mobile Internet that has defined the last two decades.

• Evolution of mobile networks
• Key driving trends towards 6G
• 6G requirements
• Key 6G technologies
• 6G architectural visions
• Zero-touch network and service management
• Edge AI
• Intelligent network softwarization
• 6G radio access networks
• Security and privacy of 6G
• Resource efficient networks
• Harmonized mobile networks and extreme global network coverage
• Legal aspects and standardization of 6G networks
• 6G for healthcare
• Smart cities and society 5.0
• Industrial automation
• Wild applications.

6G Frontiers Enables readers to understand the exciting new technologies, architectural directions, technical aspects, and applications of 6G, plus legal and standardization approaches 6G Frontiers offers intelligent insight into the ongoing research trends, use cases, and key developmental technologies powering the upcoming 6G framework. The authors cover a myriad of important topics that intersect with 6G, such as hyper-intelligent networking, security, privacy, and trust, harmonized mobile networks, legal views, and standards initiatives. The work also explores the more extreme and controversial predictions surrounding 6G, such as hyper-connected smart cities, space tourism, and deep-sea tourism. Sample thought-provoking topics covered in the comprehensive work include: Evolution of mobile networks, from 0G to 6G, including the driving trends, requirements, and key enabling technologies of each generation Logistics of 6G networks, which are expected to offer peak data rates over 1 Tbps, imperceptible end-to-end delays (beneath 0.1 ms), and network availability and reliability rates beyond 99.99999% New technology requirements for 6G, such as Further enhanced Mobile Broadband (FeMBB), ultra-massive Machine-Type Communication (umMTC), Mobile BroadBand and Low-Latency (MBBLL), and massive Low-Latency Machine Type communication (mLLMT) Potential architectural directions of 6G, including zero-touch network and service management, intent-based networking, edge AI, intelligent network softwarization, and radio access networks A complete and modern resource for understanding the potential development, logistics, and implications of 6G networks, 6G Frontiers is a must-read reference for researchers, academics, and technology architects who wish to understand the cutting-edge progress that is being made towards better and faster wireless mobile technology.
(source: Nielsen Book Data)

"A transistor is a miniature semiconductor that regulates or controls current or voltage flow in addition amplifying and generating these electrical signals and acting as a switch/gate for them. Typically, transistors consist of three layers, or terminals, of a semiconductor material, each of which can carry a current. When working as an amplifier, a transistor transforms a small input current into a bigger output current. As a switch, it can be in one of two distinct states -- on or off -- to control the flow of electronic signals through an electrical circuit or electronic device. In small quantities, transistors are used to create simple electronic switches. They are the basic elements in integrated circuits (ICs), which consist of a large number of transistors interconnected with circuitry and baked into a single silicon microchip"-- Provided by publisher.

• Chapter 1 Introduction
• Chapter 2 Analysis and Optimization of Array Antennas
• Chapter 3 Errors and Compensation of Array Antennas
• Chapter 4 Broadband Active Array Antennas
• Chapter 5 Integration of Active Array Modules
• Chapter 6 Shared-Aperture Array Antennas
• Chapter 7 Active Antenna-in-Package
• Chapter 8 Digital Array Antennas
• Chapter 9 Microwave Photonic Array Antenna.

This book highlights the application of active array antennas in high-resolution microwave imaging radar systems. It introduces the basic principles, analytical methods, and performance parameters of active array antennas to achieve low profile, high efficiency, and lightweight. The book systematically elaborates the architecture, analysis, and engineering practice to achieve wideband, multi-band, multi-polarization, and common aperture in active array antennas. It explores hotspot technologies of digital array antennas, microwave photonic array antennas, and active packaging antennas. By presenting over 300 illustrations and diagrams, including schematic diagrams, block diagrams, relation diagrams, and breakdown drawings, the book enables a thorough understanding of the antenna array microsystem as the advanced phase of active array antennas and the direction of future R&D. The book is a good reference source for researchers and engineers interested in the engineering and implementation of microwave imaging radar systems and antenna technology.

• Chapter 1 Switching control of disturbed nonlinear systems based on robust bang-bang funnel controller
• Chapter 2 Coordinated switching control of synchronous generators for transient stability
• Chapter 3 Switching power systems stabilizer and its coordination for stability enhancement
• Chapter 4 Coordinated multi-loop switching control of DFIG for resilience enhancement of WPPS
• Chapter 5 Frequency control of DFIG based WPPS using switching angle controller and AGC
• Chapter 6 Switching fault ride-through of GSCs via observer-based bang-bang funnel control
• Chapter 7 Fault ride-through hybrid control of MMC-HVDC via BBFC-based SCU
• Chapter 8 Bang-bang funnel control of three-phase full-bridge inverter under dual-buck scheme
• Chapter 9 State-dependent switched energy functions of DFIG-based WPGS.

This book presents the latest research on switching control, adaptive switching control, and their applications in the transient stability control and analysis of large-scale complex power systems. In large-scale complex power systems, renewable power generators, flexible power electronics converters, and distributed controllers are widely employed. Due to the poor overcurrent tolerance capability of power electronics converters and lacking of coordination mechanism, stability control in events, such as natural disasters, cascaded faults, and severe disturbances, is viewed as the key challenge in the operation of these systems. High-performance self-coordinated controllers are needed for the control of important power sources and power electronics converters. Adaptive switching controllers are a group of controllers designed by the authors for the control of various renewable power generators, synchronous generators, and modular multilevel converters. These controllers operate in a self-coordinated manner and aim to employ the largest transient control energy of converters and power sources. Imbalance between power generation and consumption is largely filled by the application of these controllers, and transient stability of power systems can be significantly improved. This book covers both the preliminary knowledge and key proofs in the design and stability analysis of adaptive switching control systems, and considerable simulation and experimental results are presented to illustrate the application and performance of the controllers. This book is used as a reference book for researchers and engineers in fields of electrical engineering and control engineering.

• Part I: Introduction
• Part II: Front-end Rectifier Control of the Modular UPS System
• A Reduced-order Generalized Proportional Integral Observer-based Resonant Super-twisting Sliding Mode Control
• An Enhanced State Observer for DC-link Voltage Control of Three-phase AC/DC Converters
• Part III: Distributed Control and Protection of the Modular UPS System
• Regeneration Protection in Uninterruptible Power Supply
• DC-link Protection and Control in Modular Uninterruptible Power Supply
• Distributed Adaptive Virtual Impedance Control for Parallel-connected Voltage Source Inverters in Modular UPS System
• Distributed Average Integral Secondary Control for Modular UPS Systems-based Microgrids
• Overload and Short-circuit Protection Strategy for Voltage Source Inverter-based UPS
• Part IIII: Renewable Energy Integrated Control and Operation of the Modular UPS System
• Multimode Operation for Online Uninterruptible Power Supply System
• Distributed Hierarchical Control of AC Microgrid Operating in Grid-connected, Islanded and Their Transition Modes.

This book provides an in-depth introduction to all major control and stability issues related to microgrids. It is the first book to offer a comprehensive look into the methodologies and philosophies behind system modeling, coordinated control, and protection for developing reliable, robust, and efficient operation of modular uninterruptible power supply systems. For each topic, a theoretical introduction and overview are backed by concrete programming examples that enable the reader to thoroughly understand the topic and develop and conduct simulation models. Complete coverage of modular uninterruptible power supply systems; Provides hands-on programming and simulation examples; Covers distributed dynamic control of modular UPS systems.

• 1
• Introduction1.1
• Application of high-power grid-connected converters 1.2
• High-power solutions of grid-connected converters 1.2.1.1
• Component-level 1.2.1.2
• Converters-level 1.3
• Research states of grid-connected converters 1.3.1
• Topologies 1.3.2
• Modeling methods 1.3.3
• Control methods 1.4
• Performance and index requirements 1.5
• Operating challenges 1.5.1
• Switches faults 1.5.2
• Nonideal power grid 1.5.3
• Circulating current 1.6
• Content of this book 2
• Fundamentals of single grid-connected converters 2.1
• Operation principle 2.1.1
• Single-phase full-bridge grid-connected converters 2.1.2
• Three-phase three-leg grid-connected converters 2.1.3
• Three-phase four-leg grid-connected converters 2.2
• Modelling 2.3
• Control schemes 2.3.1
• Phase-locked loop 2.3.2
• Voltage outer loop 2.3.3
• Current inner loop 2.4
• Experimental verification 2.5
• Summary 3
• Control of multiple single-phase full-bridge power converters 3.1
• Operation principle 3.2
• Modeling and analysis 3.3
• Control schemes 3.3.1
• Control of grid current without AC voltage sensor 3.3.2
• Control of circulating current suppression 3.3.3
• Control of switching loss reduction 3.4
• Experimental verification 3.5
• Summary 4
• Control of multiple three-phase three-leg power converters 4.1
• Operation principle 4.2
• Modeling and analysis 4.2.1
• Based on ideal power grid 4.2.2
• Based on nonideal power grid 4.2.3
• Based on switches faults 4.3
• Control scheme 4.3.1
• Control for ideal power grid condition 4.3.2
• Control for nonideal power grid condition 4.3.3
• Control for switches faults condition 4.4
• Experimental verification 4.5
• Summary 5
• Control of multiple three-phase four-leg power converters 5.1
• Operation principle 5.2
• Modeling and analysis 5.3
• Control scheme 5.4
• Experimental verification 5.5
• Summary.
• (source: Nielsen Book Data)

The high-power grid-connected converters play a vital role in modern power system, realizing the conversion and transmission of electrical energy, and determining its safety, stability and efficiency. This book explores the advanced control strategies of high-power grid-connected converter to satisfy the high-power requirements in practical applications. Special attention is given to grid-connected converter modules in parallel operation to overcome the challenges of non-ideal power grid, power switches faults, and circulating current. Through the advanced control strategies presented in this book, the power capacity of grid-connected converter is flexibly increased with high-reliability and efficiency, thus expanding the application range of high-power converters in modern power system. To facilitate understanding, this book provides step-by-step model derivation and controller design for grid-connected converter. Meanwhile, it also provides the comprehensive simulation and experimental results to offer readers a deep insight into the control process of grid-connected converters. This book serves as a guide for electrical engineers and researchers involved in the development of high-power converters.
(source: Nielsen Book Data)

• Intelligent Computing
• ADASEML: Hospitalization Period Prediction of COVID-19 Patients Using ADASYN and Stacking Based Ensemble Learning
• A Novel Weighted Visibility Graph Approach for Alcoholism Detection through the Analysis of EEG Signals
• A Dehusked Areca nut classification algorithm based on 10-fold cross-validation of Convolutional Neural Network
• CUSTOMER SEGMENTATION BASED ON RFM ANALYSIS AND UNSUPERVISED MACHINE LEARNING TECHNIQUE
• Manifold D-CNN Architecture for Contrastive Disease Classification Based on Respiratory Sounds
• A Pipelined Framework for the Prediction of Cardiac Disease with Dimensionality Reduction
• Prediction of Air Quality Index of Delhi using Higher Order Regression Modelling
• Deep learning for the classification of cassava leaf diseases in unbalanced field data set
• IMAGE CLASSIFICATION WITH INFORMATION EXTRACTION BY EVALUATING THE TEXT PATTERNS IN BILINGUAL DOCUMENTS
• Probabilistic Forecasting of the Winning IPL Team using Supervised Machine Learning
• Diversified licence plate character recognition using fuzzy image enhancement and LPRNet : an experimental approach
• High Blood Pressure Classification using Meta-Heuristic based Data-Centric Hybrid Machine Learning Model
• Implementing Machine Vision Process to Analyze Echocardiography for Heart Health Monitoring
• Social Media Bot Detection Using Machine Learning Approach
• Detection of Homophobia & Transphobia in Malayalam and Tamil: Exploring Deep Learning Methods
• Coffee Leaf Disease Detection using Transfer Learning
• Airline price prediction using XGBoost hyper-parameter tuning
• Exploring Deep Learning Methods for Classification of SAR Images: Towards NextGen Convolutions via Transformers
• Structure for the implementation and control of Robotic Process Automation projects
• Shrinkable Cryptographic Technique using Involutory Function for Image Encryption
• Implementation of Deep Learning models for real-time Face Mask Detection System using Raspberry Pi
• Depression Detection on Twitter using RNN and LSTM models
• Performance Assessment of Machine Learning Techniques for Corn Yield Prediction
• DETECTION OF BIRD AND FROG SPECIES FROM AUDIO DATASET USING DEEP LEARNING
• Lifestyle Disease Influencing Attribute Prediction using Novel Majority Voting Feature Selection
• Sample size estimation for effective modelling of classification problems in machine learning
• A Generative Model based Chatbot using Recurrent Neural Networks
• Pixel Attention Based Deep Neural Network for Chest CT Image Super Resolution
• Evaluation of Various Machine Learning based Existing Stress Prediction Support Systems (SPSSs) for COVID-19 Pandemic
• Machine Learning Approaches for the Detection of Schizophrenia using Structural MRI
• A Hybrid Model for Fake News Detection Using Clickbait: An Incremental Approach
• Building a Multi-class Prediction App for Malicious URLs
• Comparative Performance of Maximum Likelihood and Minimum Distance Classifiers on Land Use and Land Cover Analysis of Varanasi District (India)
• Recent Trends and Open Challenges in Blind Quantum Computation
• Driving Style Prediction using Clustering Algorithms
• Analyzing Fine-tune Pre-trained Models for Detecting Cucumber Plant Growth
• A Prediction Model with Multi-Pattern Missing Data Imputation for Medical Dataset
• Impact Analysis of Hello Flood attack on RPL
• Classification of Quora insincere questionnaire using soft computing paradigm
• Conventional Feature Engineering and Deep Learning approaches to Facial Expression Recognition: A Brief Overview
• Forecasting of rainfall using neural network and traditional almanac model
• Retinal Blood Vessel Segmentation Based On Modified CNN and Analyze the Perceptional Quality of Segmented Images
• Heuristics for K-Independent Total Traveling Salesperson Problem
• A Comparative Study and Analysis of Time Series Forecasting Techniques for Indian Summer Monsoon Rainfall (ISMR)
• YOLOv4 Vs YOLOv5: Object Detection on Surveillance Videos. .

This book constitutes the refereed proceedings of the Second International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2022, held in Varanasi, India, during December 22-24, 2022. The 68 full papers and 11 short papers included in this book were carefully reviewed and selected from 443 submissions. They were organized in two topical sections as follows: Advanced Network Technologies and Intelligent Computing.