Electrical engineering Books

Book SynopsisThis book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. This book includes selected papers from International Conference on Intelligent Cyber-Physical Systems (ICPS 2021), held at Indian Institute of Information Technology Kota (IIIT Kota), MNIT Jaipur Campus, Jaipur, India, during 16-18 April 2021. The book is a collection of the state-of-the art research work in the cutting-edge technologies related to the artificial intelligence and cyber physical systems. Table of ContentsChapter 1. Micro Phasor Measurement Unit (µPMU) in Smart Distribution Network: A Cyber Physical System.- Chapter 2. Emerging role of Intelligent Cyber Physical Systems in monitoring stability of engineered and natural slopes.- Chapter 3. Battery Management System in Smart City: An Application of Cyber Physical System.- Chapter 4. Security of Cyber-Physical Systems through the Lenses of the Dark Web.- Chapter 5. Sustainable and Secure IoT-Chain Architecture Integrated with Blockchain Technology.- Chapter 6. LIMBO: Telecom Signal Strength Coverage In Different Regions.- Chapter 7. Path Extraction and Planning for Intelligent Battlefield Preparation using Particle Swarm Optimization, Gravitational Search Algorithm and Genetic Algorithm.- Chapter 8. Smart Green Roof: A Prototype Towards Sustainable Smart Agriculture.- Chapter 9. Identifying Predictors for Substance Consumption Pattern using Machine Learning Techniques.- Chapter 10. Web-based Simulator for Operating Systems.- Chapter 11. An Analysis Study of IoT a DoS Attacks Perspective.- Chapter 12. The Effect of Sampling in the Machine Learning based Malware Analysis.- Chapter 13. Operating System Fingerprinting using Machine Learning.- Chapter 14. Comparing HDD to SSD from Digital Forensic Perspective.- Chapter 15. An Efficient Novel for Soil Fertility Evaluation.

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Book SynopsisThis book gathers selected research papers presented at the Third International Conference on Energy Systems, Drives, and Automations (ESDA 2020). It covers a broad range of topics in the fields of renewable energy, power management, drive systems for electrical machines, and automation. In a spam of about a few interesting articles, effort had gone in to critically discuss about the control system, energy management and distribution in a unified approach common to electrical, Control and mechanical engineering. This book also comprehensively discusses a variety of related tools and techniques and will be a valuable resource for researchers, professionals, and students in electrical and mechanical engineering disciplines.Table of ContentsIndustrial Scenario of Renewable Energy BasedElectromobility.- Covid-19: Impact Analysis on Power Sector (A Comprehensive Review on Demand Change).- Electricity Price Forecasting using LSTM Network and K-means clustering by considering the effect of wind power generation.- Solid waste management challenges in India.- Electrochemical conversion of CO2 into useful chemicals and PKL electricity.- Graphical Approach to Recognize Optimal Distribution Network Reconfiguration.

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Book SynopsisThe book contains select proceedings of the International Conference on Smart Grid Energy Systems and Control (SGESC 2021). The proceedings is divided into 03 volumes, and this volume focuses on power electronics, machines, systems integrations, and high voltage engineering. This book is a unique collection of chapters from different areas with a common theme and will be immensely useful to academic researchers and practitioners in the industry.Table of ContentsMoisture Estimation of Power Transformer Using Transfer Function of Conventional Debye Model.- Enhanced Operation of Grid Connected Inverter to Improve Power Quality Issues, Harmonic Compensation with Proposed Novel Approach.- Design of a Power Converter for Domestic Induction Heating Driven from PV Module.- Comparative Power Quality Analysis of SRF and UVT Control based DSTATCOM.- Double Stage Solar PV Array Fed V/F Controlled Induction Motor for Indian Irrigation Applications.- Diode based Passive Li-Ion Battery Balancer.- Comparison of used Conductor for Corona, Radio Interference Voltage (RIV) Characteristics and Audible Noise Values with Unused Conductor.- A Switched-Capacitor Based Generalized Topology for Multilevel Inverter with Cross-Switched Structure.- Coordinated Charging of Electric Vehicles in Smart Grids to Minimize Distribution Loss.- Solar Powered PMSM Driven Battery Supported Water Pumping System.

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Book SynopsisThis book contains select proceedings of EPREC-2021 with a focus on power electronics and drives. The book includes original research and case studies that present recent developments in power electronics focusing on power inverters and converters. The book also consists of research work on electrical drives, regulated power supplies, operation of FACTS & HVDC, etc. The book will be a valuable reference guide for beginners, researchers, and professionals interested in the advancements of power electronics and drives.Table of ContentsFuzzy Controlled Multi-Converter-UPQC for Power Quality Improvement in Distribution System.- Modified BBO-based PV Integrated Reduced Component Multilevel Inverter for mitigating THD.- Power Quality Improvement of an Interconnected Grid System Using PWM Technique of D-Statcom.- Speed Control of a Three Phase IM with Closed-Loop Control Scheme.- A Review on recent technologies in power electronic drives for hybrid electric vehicles.

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Book SynopsisThis book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2021), held at University of La Laguna, Tenerife, Spain, during December 2–4, 2021. It covers up-to-date cutting-edge research on artificial intelligence applied in marketing, virtual and augmented reality in marketing, business intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and networking, geomarketing and IoT, marketing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.

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Book SynopsisThe proceeding presents best selected papers presented at 5th International Conference on Smart Computing and Informatics (SCI 2020), held at Department of Computer Science and Engineering, Vasavi College of Engineering, Hyderabad, Telangana, India, during 17 – 18 September 2021. It presents advanced and multi-disciplinary research towards the design of smart computing and informatics. The theme is on a broader front focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries. The scope is also extended towards the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and healthcare. The work is published in two volumes.Table of ContentsMusic Recommendation Engine Using Emotion Synthesis Through Facial Recognition.- Indian Alphabets and Digits Sign Recognition using Pre-trained Model.- An efficient Information retrieval technique for Document Classification.- A Featurized Learning Approach for Health Monitoring in Hydraulic Systems Using Multivariate Time Series Data.- Lockdown phases and changing clusters of Indian states with respect to number of cases of COVID-19.- Non-invasive Measurement of Blood Sugar using Near-Infrared Spectroscopy.- Contemporary Technique for Detection of Brain Tumor in fluid Attenuated Inversion Recovery MRI Images.- Deep Learning Network for Face Identification across Illumination and Blur.- Use of Thermal Images for Face Mask Detection with Deep CNN.- Cardiovascular Disease Prediction using Machine Learning with Flask API.- An Ensemble CNN model for Identification of Diabetic Retinopathy Eye Disease.- Efficient Email classification Algorithm for Better Customer Support.- Efficient Email classification Algorithm for Better Customer Support.- Machine Learning for Detection of Obstructive Sleep Apnea.- Mammogram Image Fusion Using Sigmoidal Function and Max. Fusion Rule.- Impact of Climate Change and Land Cover on the Run-off Estimation Using SWAT Modelling.- Breast Cancer Prediction using Machine Learning Techniques.- Crime Rate Analysis and Prediction in Delhi using Facebook Prophet.- A generic Blockchain-based Remote Clinical Monitoring Framework through Wearable devices to mitigate the COVID-19 pandemic.- Detecting Face Mask for Prevent Covid 19 Using Deep Learning: A Novel Approach.- Different Feature Selection Methods Performance Analysis for Intrusion Detection.- Framework for Diabetic Retinopathy Classification.- Support Vector MachineClassification of Remote Sensing Images with the Wavelet based Statistical features.

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Book SynopsisTo meet the increasing demand of electrical power, the use of renewable energy-based smart grid is attracting significant attention in recent years throughout the world. The high penetration of renewable power in the smart grids is growing its importance due to its non-finishing, reusable, reliable, sustainable, lower cost, and available characteristics. The renewable energy-based smart grid technology may mitigate the increasing energy demands effectively and efficiently without hampering the environment. But the uncertain nature of renewable sources largely affects the operation of the smart grid by un-stabling the voltage and frequency that may introduces power quality and reliability problems, which requires special control techniques. This book investigates the challenges in controlling renewable energy-based smart grids and proposes different control techniques to control the voltage and frequency effectively to improve the power quality and reliability of the power grids. This book is a valuable resource for readers interested in practical solutions in smart grids and renewable energy systems.Table of ContentsChapter 1: A Robust Controller for Multi-level Distributed Generation Based Island-ed Microgrid.- Chapter 2: Multi-source Microgrid Fre-quency Stability Control Using Learning-Based Technology.- Chapter 3: Hybrid Renewable Energy Sys-tems for Future Power Grids.- Chapter 4: Operation of Renewable Ener-gy and Energy Storage-based Hybrid Re-mote-area Power Sup-ply (RAPS) Systems: Challenges and State-of-the-arts.- Chapter 5: A Symbolic Aggregate Approx-imation-based Data Mining Tool for the Detection and Classification of Power Grid Voltage Events.- Chapter 6: Identifying Hosting Capacity of Renewable DG units in Smart Grids Con-sidering Protection Systems.- Chapter 7: Management of Distributed Generation for Smart Buildings.- Chapter 8: Smart Inverters and Controls for Grid-Connected Renewable Energy Sources.- Chapter 9: Transformerless Three-Phase Solar Photovoltaic Converters.- Chapter 10: Sensorless Control Technolo-gies for Stand-alone and Grid-connected Operation of Brush-less Doubly-Fed In-duction Generators in Smart Grid.- Chapter 11: Control and Observation of Induction Motors Based on Full-Order Terminal Sliding Mode Technique.

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Book SynopsisThis book compiles the best selected research papers presented during the 2nd International Conference on Intelligent Computing Techniques for Smart Energy Systems (ICTSES 2021), held at Manipal University, Jaipur, Rajasthan, India. It presents the diligent work of the research community where intelligent computing techniques are applied in allied fields of engineering ranging from engineering materials to electrical engineering to electronics and communication engineering- to computer-related fields. The theoretical research concepts are supported with extensive reviews highlighting the trends in the possible and real-life applications of computational intelligence. The high-quality content with broad range of the topics is thoroughly peer-reviewed and published on suitable recommendations.Table of ContentsFault Analysis and Protection Scheme for DC Microgrid.- A Case Study on Electric Vehicle Conversion from an Internal Combustion Engine Vehicle.- Image Processing Using Elephant Herding Optimization: A Review.- A Review on IOT based Efficient Energy Management System for Smart homes.- Minimization of Tie-line Power Fluctuations using GCSC with Gas-Thermal -EV System for LFC Considering Time-Delay Effect.- Investigation of Timing Issues of True Single-Phase Clock Circuits for Nanodevices.- Comparative Analysis of Machine Learning Techniques for Software Effort Estimation.- A Review of Factors Affecting the Sensitivity of Piezoresistive Microcantilever based MEMS Force Sensor.- Dynamics Modeling and Motion Simulation of a Segway Robotic Transportation System.- Microgrid Energy Management Strategy for Low Dynamics Load Applications using Simulink.

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Book SynopsisThe book presents high-quality, peer-reviewed papers from the FICR International Conference on Rising Threats in Expert Applications and Solutions 2022 organized by IIS (Deemed to be University), Jaipur, Rajasthan, India, during January 7–8, 2022. The volume is a collection of innovative ideas from researchers, scientists, academicians, industry professionals, and students. The book covers a variety of topics, such as expert applications and artificial intelligence/machine learning; advance web technologies such as IoT, big data, cloud computing in expert applications; information and cyber security threats and solutions, multimedia applications in forensics, security and intelligence; advancements in app development; management practices for expert applications; and social and ethical aspects in expert applications through applied sciences.Table of ContentsA Novel Approach for Detecting Online Malware Detection Using Performance Metrics Using LSTMRNN and BRNN Based Recurrent Neural Network in Cloud Environment.- Analytical Study of Augmented Reality Simulation System Application on Paintings.- A New Model SATV for Sentiment Analysis of Hinglish Sentences.- Characterization of Molecular Dynamic Trajectory using K-means clustering.- Data Warehouse Modernization using Document-Oriented ETL Framework for Real Time Analytics.- Opinion Mining for Breast Cancer Disease Using Apriori and K-Modes Clustering Algorithm.- Deep learning approach based on ADASYN for detection of Web attacks in the CICIDS2017 dataset.- FUNDUS and OCT Image Classification using Deep Learning Techniques.- A Secure Framework for the Deployment of Microservices using Cloud Container Technology.- Time Series Analytics – A fuel to Data Science in forecasting Analytics for time stamped data.- Sparse Autoencoder and Deep learning based Framework for Multi-label Classification of Chronic Diseases.- A Comparative study of different machine learning based feature extraction techniques in bacterial image classification.- Cloud removal and satellite image reconstruction using Deep Learning based Image inpainting approaches.- A Novel Cipher Technique using Substitution and Transposition Methods.- Edge Computing: State of Art with Current challenges and future opportunities.- Deep Learning and Machine Learning Approaches for the Classification of Personality Traits: Review.- Two Level Priority Task Scheduling Algorithm For Real Time IoT Based Storage Condition Assessment System.- Intrusion Detection of Internet of Things Botnet Attacks using Data Mining Technique.- Code Tamper-proofing using Return Oriented Programming in IoT Devices.- Conversion of Punjabi Sign Language using Animation.- Deep Learning based Classification of Microscopic Fungal Images.- Application of Artificial Neural Network and Multiple Linear Regression in Predicting Consumer Attitude towards Use of Mobile Wallet.- Securing Unauthorized Access to Cloud Data Storage.- A Survey on Water Usage Optimization using Artificial Intelligence in Agricultural Sector.- The Role of Artificial Neural Network in Word Sense Disambiguation (WSD) - A Survey.- Covid-19 Challenges for digital education and critical analysis.- Cloud Computing: Concepts and Techniques with Service Provider Analysis.- Analyzing Frequency Rhythms in Posed and Spontaneous Emotions Using Time- Intensity of EEG Signals.- Improving Classification Performance Using The Semi-Pivoted QR approximation algorithm.- Comparative Study on Video Based Face Recognition Methods.- An Innovative Framework based Algorithmic Approach for Object Detection.- Smart Bus Concept of COVID-19 Prevention using Face-Bio Keys.- Data Integration Solutions - A Key to the Cloud Migration.- A Proposed Structure, primarily based totally on Cloud Computing for Enhancing Electronic Commerce Applications.- Deep Learning and Internet of Things (IoT) Based Irrigation System for Cultivation of Paddy Crop.- Review of Machine Learning Techniques for Analysis of Medical Data Sets.- Incorporating contextual information in prediction based word embedding models.- Distributed Cloud Data Center for Efficient Services in Logistics Management.- Plants Disease Detection using Image Processing using Tensor flow: A boon to agriculture.- Data Visualisation using Self-Organising Maps.- SQL Injection Attacks, Detection Techniques on Web Application Databases.- Deep Learning Based Brain Tumor Segmentation: Recent Updates.- Mobile Application for Smart Agriculture in India: "An Analytical Approach".- Offline handwritten character recognition of Gujarati characters using convolutional neural network.- Forecasting Solar Energy on Time Frame: A Review.- Framework for Faster Index Search.- Image Classification by Optimized Convolution Neural Networks.- Benefits of Mining Fashion Data.- Current state of Engineering Education in India: Student Teacher scenario in online mode.- Estimating Blockchain using Time-series forecasting ARIMA.- Analyzing Online Reviews of Customers using Machine Learning Techniques.- Assessing between-group differences in implementation of Lean Six Sigma management conception.- Boosting Blockchain Mechanism using Cryptographic Algorithm in WSN.- Virtual Try-On using Augmented Reality.- Fractures Classification and Detection Using DIP And ML.- Sentiment Analysis in Social Media Website.- Artificial Intelligence based Techniques for Underwater Image Restoration and Enhancement.-A rapid computing technology on profound computing era with quantum computing.- Covid-19: Comparison of Time series forecasting models and Hybrid ARIMA- ANN.- YOLOV5 and Morphological Hat Transform Based Traffic Sign Recognition.- Optimizer Based Performance Study of Block Wise Fine-Tuning AlexNet.- Comparative study on Image Feature Extraction Techniques.- Cyber Security Threat and it's Global Perspective.- Detecting Cheating in Online Assessments using Face Recognition and Head Pose Estimation.- Opinion System of Real-Time Emotions from Human Interaction incoporated in Class using Deep Learning.- A Study on Automatic Detection of Alzheimer’s disease using Multimodalities.- IoT enabled smart tourism (IoTeST): tourism service dimension.- An Innovative Approach towards Designing Efficient K-Nearest Neighbour Algorithm.- Latest trends in Multi-Modality Medical Image Fusion: A Generic Review.- Comparison Study of Classification Techniques for Predicting Performance of Students using Weka Environment.- Multimodal Autism Detection in Children through Facial and Speech Emotion.- A Contemporary Learning on Smart Devices for Smart Metropolis.- Malpractice Detection in Online Assessment using Eye Gaze Tracking and Object Detection.- Big Data f5 Load Balancer with ChatBots Framework.- Keylogger awareness and use in Cyber Forensics.

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Book SynopsisThis book features selected high-quality papers presented at International Conference on Electrical and Electronics Engineering (ICEEE 2022), jointly organized by University of Malaya and Bharath Institute of Higher Education and Research India during January 8–9, 2022, at NCR New Delhi, India. The book focuses on current development in the fields of electrical and electronics engineering. The book one covers electrical engineering topics–power and energy including renewable energy, power electronics and applications, control, and automation and instrumentation and book two covers the areas of robotics, artificial intelligence and IoT, electronics devices, circuits and systems, wireless and optical communication, RF and microwaves, VLSI, and signal processing. The book is beneficial for readers from both academia and industry.Table of ContentsComparative Study of PID and Model Predictive Control With Boost Converter.- A bidirectional DC-DC converter fed DC motor for Electric Vehicle Application.- PV-WIND Hybrid System Based Cuckoo Search Maximum power point tracking Algorithm.- TriboOnto: A Strategic Domain Ontology Model for Conceptualization of Tribology as a Principal Domain.- ANN- CF-PSO Algorithm Based Selective Harmonic Elimination in Cascaded Multilevel Inverter for PV Applications.- Performance Evaluation of Field Aged Polymer Insulators.- Particle Swarm Optimization Based Self-Tuned PID Controller for Digital Excitation Control System.- Stability and Time Response Analysis of Integrated Renewable Energy System.- Design a Robust Control Platform for Grid Connected Synchronous Generator.- Dynamic Power Flow Control Using Dual-Input Single-Output Non-Isolated DC-DC Converter for Renewable Energy Applications.- Performance Analysis Of Machine Learning, Deep Learning & Ensemble Techniques For Breast Cancer Diagnosis.- Decarbonizing Indian Electricity Grid.- Future Mobility with eVTOL Personal Air Vehicle (PAV): Urban Air Mobility (UAM) Concept.- Dam Water Discharge and Flood Prediction cum Warning System.- Virtual Inertia Control Strategy for High Renewable Energy-Integrated Interconnected Power Systems.- Multimodal Visual Question Answering Using VizWiz data; A Visual Assistant for the Blind.- Design and Neural Control for Insect-Copter for Smooth Perching on Outdoor Vertical Surface.- A 12T SRAM of 16nm CMOS Technology using One Sided Schmitt Trigger Inverter and Read Port.- Multi-Stage Edge Detection for Generative Spatial Robotic Artwork.- Design and Analysis of Micro-Grid Stability under Variable Load Situations.- Risk-Seeker Information Gap Decision Theory Based Smart Grid Operation Encompassing Demand Response.- Performance Analysis of Multi-User Diversity Schemes on Interference Limited D-GG Atmospheric Turbulence Channels.- A Sparse-Dense HOG Window Sampling Technique for Fast Pedestrian Detection in Aerial Images.- Experimental Analysis for Distance estimation using RSSI in Industry 4.0.- Agriculture Field Security System Using Faster R-CNN.- Automated Relational Triple Extraction from Unstructured Text using Transformer.- A Modified SVPWM Strategy to Improve the Performance of Variable Frequency Induction Motor Drives.- A High Performance Multi-Pulse AC-DC Converter for Adjustable Speed Motor Drives.- Passivity-BasedControlofTidalTurbineBasedPMSG Using Interconnection and DampingAssignmentApproach.- Recommendation System based on EEG Emotion Recognition.- Design and implementation of a Self-Charging System to Improve the operating Range in Quad-Motor EV.- Design and implementation of a Weed Removal Agriculture Robot.

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Book SynopsisThis book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated by this, an emerging research topic, machine learning-driven privacy preservation, is fast booming to address various and diverse demands of IoTs. However, there is no existing literature discussion on this topic in a systematically manner. The issues of existing privacy protection methods (differential privacy, clustering, anonymity, etc.) for IoTs, such as low data utility, high communication overload, and unbalanced trade-off, are identified to the necessity of machine learning-driven privacy preservation. Besides, the leading and emerging attacks pose further threats to privacy protection in this scenario. To mitigate the negative impact, machine learning-driven privacy preservation methods for IoTs are discussed in detail on both the advantages and flaws, which is followed by potentially promising research directions. Readers may trace timely contributions on machine learning-driven privacy preservation in IoTs. The advances cover different applications, such as cyber-physical systems, fog computing, and location-based services. This book will be of interest to forthcoming scientists, policymakers, researchers, and postgraduates. Table of Contents· Chapter 1: Introduction o Privacy research landscape o Machine learning driven privacy preservation overview o Contribution of this monograph o Outline of the monograph · Chapter 2: Current Methods of Privacy Protection in IoTs o Cryptography based methods o Differential privacy methods o Anonymity-based methods o Clustering-based methods · Chapter 3: Decentralized Privacy Protection of IoTs using Blockchain-Enabled Federated Learning o Overview o System Modelling o Decentralized Privacy Protocols o Blockchain-enabled Federated Learning · Chapter 4: Personalized Privacy Protection of IoTs using GAN-Enhanced Differential Privacy o Overview o System Modelling o Personalized Privacy o GAN-Enhanced Differential Privacy · Chapter 5: Hybrid Privacy Protection of IoT using Reinforcement Learning o Overview o System Modelling o Hybrid Privacy o Markov Decision Process and Reinforcement Learning · Chapter 6: Future Directions o Trade-off optimization o Privacy preservation of digital twin o Privacy-preserving federated learning o Federated generative adversarial nets · Chapter 7: Summary and Outlook

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Book SynopsisThis book highlights the basic information about lightning. It is an unpredictable disaster, and it is an extremely complex electrical discharge phenomenon. A complete theory of lightning does not exist till now. This book elaborates on the basic formation of lightning, terminologies related to lightning, and the preliminary lightning theory. There are different types of lightning, such as cloud flashes, ground flashes (both positive and negative), and air discharges. This book explains some unusual events related to lightning and inspects innovation. This book also describes the measurement of electric and magnetic fields generated by lightning, which are the basic parameters for lightning fundamentals.Table of Contents

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Book SynopsisThis book gathers selected high-quality research papers presented at the Seventh International Congress on Information and Communication Technology, held at Brunel University, London, on February 21–24, 2022. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes.Table of ContentsTechnologies + Design for Social Integration.- Weight-Based Dynamic Hybrid Recommendation System for Web Application Content.- Measuring the Success of the Ngawi District Government Web site Using the Delone and Mclean Model.- Factor Influencing Trust in Government: A Survey in the Bantul Regency.- Different Applications and Technologies of Internet of Things (IoT).- Review and Evaluation of Trending SSVEP-Based BCI Extraction and Classification Methods

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Book SynopsisThis book comprises peer-reviewed proceedings of the International Conference on Smart Energy and Advancement in Power Technologies (ICSEAPT-2021). The book includes peer-reviewed papers on renewable energy economics and policy, renewable energy resource assessment, operations management and sustainability, energy audit, global warming, waste and resource management, green energy deployment, green buildings, integration of green energy, energy efficiency, etc. The book serves as a valuable reference resource for academics and researchers across the globe.Table of ContentsIntroduction of Power and Smart Energy System.- Power Electronic Advancements.- Soft Computing for Renewable Energy Sources (RES).

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Book SynopsisThis book provides a design and development perspective MPC for micro-grid control, emphasizing step-by-step conversion of a nonlinear MPC to linear MPC preserving critical aspects of nonlinear MPC. The book discusses centralized and decentralized MPC control algorithms for a generic modern-day micro-grid consisting of vital essential constituents. It starts with the nonlinear MPC formulation for micro-grids. It also moves towards the linear time-invariant and linear time-variant approximations of the MPC for micro-grid control. The contents also discuss how the application of orthonormal special functions can improve computational complexity of MPC algorithms. It also highlights various auxiliary requirements like state estimator, disturbance compensator for robustness, selective harmonic eliminator for eliminating harmonics in the micro-grid, etc. These additional requirements are crucial for the successful online implementation of the MPC. In the end, the book shows how a well-designed MPC is superior in performance compared to the conventional micro-grid primary controllers discussed above. The key topics discussed in this book include – the detailed modeling of micro-grid components; operational modes in micro-grid and their control objectives; conventional micro-grid primary controllers; the importance of MPC as a micro-grid primary controller; understanding of MPC operation; nonlinear MPC formulation; linear approximations of MPC; application of special functions in the MPC formulation; and other online requirements for the MPC implementation. The examples in the book are available both from a calculation point of view and as MATLAB codes. This helps the students get acquainted with the subject first and then allows them to implement the subject they learn in software for further understanding and research.Table of ContentsChapter 1. Micro-grid Introduction and Overview.- Chapter 2. An Overview of Micro-grid Control.- Chapter 3. Mathematical Modelling of a Micro-grid.- Chapter 4. Introduction to Model Predictive Control.- Chapter 5. LTI-MPC for the Micro-grid Control.- Chapter 6. LTV-MPC with Extended “TAIL”.- Chapter 7. Special functions in the MPC formulation.- Chapter 8. Auxiliary Requirements for Real-time Implementation.- Chapter 9. Conclusion and Future Scope.

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

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Book SynopsisThis book presents select proceedings of the 3rd Electric Power and Renewable Energy Conference 2022 (EPREC 2022). This book provides rigorous discussions, case studies, and recent developments in the emerging areas of the power systems, especially renewable energy conversion systems, distributed generations, microgrids, smart grids, HVDC & FACTS, power system protection, etc. The readers would be benefited in terms of enhancing their knowledge and skills in the domain areas. The book will be a valuable reference for beginners, researchers, and professionals interested in developments in the power system.

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Book SynopsisThis book presents select peer-reviewed proceedings of the 2nd International Conference on Advances in VLSI and Embedded Systems (AVES 2021). This book covers cutting-edge original research in VLSI design, devices and emerging technologies, embedded systems, and CAD for VLSI. To address the demand for complex and high-functionality systems as well as portable consumer electronics, the contents focus on advanced topics of circuit and systems design, fabrication, testing, and standardization. This book is useful for students, researchers as well as industry professionals interested in emerging trends in VLSI and embedded systems.Table of ContentsModeling and Analysis of Low Power High-Speed Phase Detector and Phase Frequency Detector using Nano Dimensional MOS Transistors at 16nm, 22nm, 32nm.- Design of Low Power Modular (x mod p) Reduction Unit based on Switching Activity for Data Security Applications.- Systematic Analysis of Linearization Techniques for Wideband RF Low Noise Amplifier.- Analysis and Modification of Low Power and High Speed 9T SRAM Cell.- Investigating the Impact of Schmitt Trigger on SRAM cells at 32 nm technology node for low voltage applications.- Novel Approximate 4:2 Compressor for Multiplier Design.- Approximate computing based unsigned multipliers for image processing applications.- A feed-forward gain enhancement technique in a narrow-band low noise amplifier using active inductor.- A Fully On-chip Tunable Impedance Matching Strategy for Maximum Power Transfer In RF Energy Harvesting Systems.- Design and Implementation of Fault Tolerance and Diagnosis Technique for Arithmetic Logic Unit (ALU) in Soft-core Processor.- Pneumatic Calibrator for Heterodyne Interferometer.- Real-Time Object Detection and Recognition for the Visually Impaired: A YOLOv3 approach.- Design of an Autonomous Agriculture Robot for Real Time Weed Detection using CNN.- Design and Implementation of IoT-Based System for Tracking and Monitoring of Suspected COVID-19 Patient.- Ambipolarity Property in Tunnel FET to Sense High Bit Rate Signals.- Assessing Effect of Variability in Nano-scale Futuristic On-Chip Interconnects.- Impact of Channel Parameters on the performance of Dielectrically Modulated JL-DG-MOSFET Biosensor.- Design of a TFET based Temperature Invariant LDO Voltage Regulator.- A heuristic algorithm for module placement in digital microfluidic biochips.- A Comprehensive Analysis in Recent Advances in 3D VLSI Floorplan Representations.- Radiation Sensor Design for Mitigation of Total Ionizing Dose effects.- Adaptive Memetic Algorithm on novel CBLSP algorithm for O-Tree implementation.

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Book SynopsisThis book provides rigorous discussions, case studies, and recent developments in soft computing and its application in power systems enabled with power electronics-based equipment, biomedical engineering, and image processing. The readers would be benefitted from enhancing their knowledge and skills in the domain areas. This book also helps the readers in developing new and innovative ideas.

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Book SynopsisThis book gathers selected high-quality research papers presented at International Conference on Paradigms of Communication, Computing and Data Sciences (PCCDS 2022), held at Malaviya National Institute of Technology Jaipur, India, during 05 – 07 July 2022. It discusses high-quality and cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.

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Book SynopsisIn this book, internationally recognized researchers give a state-of-the-art overview of the electronic device architectures required for the nano-CMOS era and beyond. The book covers the fundamental limits of core CMOS, improving scaling by the introduction of new materials or processes, multigates and multichannels, and quantum computing.Trade Review"This book offers an excellent insight into the micro-to-nano transition that the electronics industry is currently engaged in. The different chapters clearly illustrate the latest stages of evolution of the 'classical' silicon transistor and explore next-generation devices which are likely to be its successor. It is an excellent reference for scientists and students interested in the future of electronics."—Prof. Jean-Pierre Colinge, Tyndall National Institute, Ireland"The internationally recognized authors of this book provide a fascinating, information-packed reference for scientists, engineers and students interested in ultimately scaled CMOS and the emerging new 'Beyond CMOS' device technologies. By encompassing this broad technological vista in a single volume, the authors provide unique perspectives into the current issues and future challenges facing the semiconductor industry as we expand information-processing technologies to completely new applications."—Dr. Jim Hutchby, Semiconductor Research Corporation, USA"This unique book is a must for everybody active in the field and/or interested in the technology of state-of-the-art and future electronic devices. Great work about small things."—Prof. Cor Claeys, IMEC, BelgiumTable of ContentsCMOS Nanoelectronics. Reaching the End of the Roadmap: Core CMOS: Physical and Technological Limitations of NanoCMOS Devices to the End of the Roadmap and Beyond. Advanced CMOS Devices on Bulk and SOI: Physics, Modeling and Characterization. Devices Structures and Carrier Transport Properties of Advanced CMOS using High Mobility Channels. High-kappa Gate Dielectrics. Fabrication of Source and Drain — Ultra Shallow Junction. New Interconnect Schemes: End of Copper, Optical Interconnects? Memory Devices: Technologies and Key Design Issues for Memory Devices. FeRAM and MRAM Technologies. Advanced Charge Storage Memories: From Silicon Nanocrystals to Molecular Devices. New Concepts for Nanoelectronics. New Paths Added to CMOS Beyond the End of the Roadmap: Single Electron Devices and Applications. Electronic Properties of Organic Monolayers and Molecular Devices. Carbon Nanotube Electronics. Spin Electronics. The Longer Term: Quantum Information Processing and Communication.

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Book SynopsisThis book details state-of-the-art fuel cell systems incorporating methanol reformers as the source of purified hydrogen (rather than compressed hydrogen). Beginning with an overview of PEM fuel cells, the book discusses the various technical approaches to methanol reforming and hydrogen purification. A unique theme that is carried throughout the discussion is the practical aspects of commercial applications that favor one technical approach over another. The reader gains an understanding of the chemistry, engineering, economics, and agency certification requirements that ultimately shape the optimal approach for methanol fuel cell systems targeting commercial applications.Trade Review"This book will be of particular interest to those designing, developing, and/or manufacturing smaller fuel cell power systems consisting of a methanol reforming reactor, a hydrogen separator, and a PEM fuel cell. Researchers developing one or more of these subsystems will also greatly benefit from Dr. Edlund’s unique perspective in both R&D and manufacturing. As a researcher in palladium alloy membranes for hydrogen separations, I learned a great deal about fuel cell power systems from this excellent book."—Prof. J. Douglas Way - University of Colorado, USA"The generation of electricity by the conventional two-step processes of first converting chemical energy to mechanical energy and then converting mechanical energy to electricity is becoming obsolete. Dave Edlund’s focus over the last 25 years on the practical implementation of reforming technologies and fuel cells shines in this book. If you are interested in seeing fuel cell technology become a commercial reality, this book is for you."—Dr. Paul Osenar - CEO & Founder, Protonex Technology CorporationTable of ContentsIntroduction. PEM Fuel Cells. Methanol as a Fuel. Methanol Reforming. Hydrogen Purification. Membrane Reactors. Barriers to Commercialization. Applications and Markets. Costing Exercise—Lessons and Guidelines.

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Book SynopsisThe domain of metamaterials now covers many area of physics: electromagnetics, acoustics, mechanics, thermics, or even seismology. Huge literature is now available on the subject but the results are scattered. Although many ideas and possible applications have been proposed, which of these will emerge as a viable technology will only unfold with time.This book covers the fundamental science behind metamaterials, from the physical, mathematical, and numerical points of view, focusing mainly on methods. It concentrates on electromagnetic waves, but would also be useful in studying other types of metamaterials. It presents the structure of Maxwell equations, discusses the homogenization theory in detail, and includes important problems on resonance. It has an entire section devoted to numerical methods (finite elements, Fourier modal methods, scattering theory), which aims to motivate a reader to implement them. The book is not written as a collection of independent chapters but as a textbook with a strong pedagogical flavor.Table of ContentsGeneral Introduction. A Review of Natural Materials and Properties in Microwaves and Optics. From Microphysics to Mesophysics: Obtaining Effective Properties from Microscopic Behaviours. Transformation Optics in a Nutshell. Propagation in Periodic Media: Bloch Waves and Evanescent Waves. Scattering Problem: Numerical Methods (FMM, FEM, Multiple Scattering). Soft Problems: Non-Resonant Dielectric Structures. Stiff Problems: High Contrast Objects. Resonant Problems.

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Book SynopsisMagnetic nanoparticles appear naturally in rock magnetism together with a large distribution of sizes and shapes. They have numerous applications from nano-size magnetic memories to metamaterials for electromagnetic waves as well as biological applications such as nanosurgery with minimal traumatism. Their long-ranged size- and shape-dependent dipolar interactions provide numerous useful properties.This book describes the preparation as well as the magnetic properties of nanoparticles and also considers 2D dots, nearly spherical samples, elongated samples, and various assemblies of nanoparticles. The authors report the static magnetic structures and dynamic properties of these nanoparticles and the topological defects in 2D and 3D nanoparticles with new examples of S-shaped vortex or antivortex and of bent vortex or antivortex in 3D nanoparticles. The spectrum of magnetic excitations is shown to exhibit the occurrence of gaps, a key for magnonic metamaterial devices. Magnetic excited states are also considered with their coupling to nanoparticle elastic properties.Trade Review"Magnetic nanoparticles are a fascinating and rich topic of contemporary physics and chemistry. The size and aspect ratio of nanoparticles together with their arrangement in space generates a myriad of properties, which are of fundamental interest and promise a number of potential applications from data storage to cancer treatment. This book provides in-depth reviews on the main experimental and theoretical aspects of magnetic nanoparticles, including their fabrication, various analytical tools for determining magnetic domains, domain walls, phase transitions, magnetostatic interaction, and magnetization reversal mechanisms. The book is rounded up with more specialized topics on spin dynamics in magnonic crystals and specifically on magnetoferritin nanoparticles. It also contains a review on spin cross-over materials that have picked up much interest in recent years. All chapters are written by experts in their pertinent fields. The book will appeal to beginners as well as to advanced researchers in the field of nanomagnetism."—Prof. Hartmut Zabel, Ruhr-Universität Bochum, GermanyTable of ContentsMagnetic structures of 2D and 3D nanoparticles. Magnetic anisotropy and magnetization reversal in self-organized two-dimensional nanomagnets. High aspect ratio nanoparticles: growth, assembly, and magnetic properties. Magnetoferritin nanoparticles as promising building-blocks for three-dimensional magnonic crystals. Magnetic properties of fractal nanostructures. Vortex lines in three-dimensional magnetic nanodots by Langevin simulation. Spin-wave normal modes of magnetic vortices. Magnonic crystals: from simple models towards application. Physical properties of 2D spin-crossover solids from an elastonic description: effect of shape, size, and spin-distortion interactions.

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Book SynopsisFull-field optical coherence microscopy (FF-OCM) is an imaging technique that provides cross-sectional views of the subsurface microstructure of semitransparent objects. The technology is based on low-coherence interference microscopy, which uses an area camera for en face imaging of the full-field illuminated object. FF-OCM benefits from the lateral imaging resolution of optical microscopy along with the capacity of optical axial sectioning at micrometer-scale resolution. The technique can be employed in diverse applications, in particular for non-invasive examination of biological tissues.This handbook is the first to be entirely devoted to FF-OCM. It is organized into four parts with a total of 21 chapters written by recognized experts and major contributors to the field. After a general introduction to FF-OCM, the fundamental characteristics of the technology are analyzed and discussed theoretically. The main technological developments of FF-OCM for improving the image acquisition speed and for endoscopic imaging are presented in part II. Extensions of FF-OCM for image contrast enhancement or functional imaging are reported in part III. The last part of the book provides an overview of possible applications of FF-OCM in medicine, biology, and materials science.A comprehensive compilation of self-contained chapters written by leading experts, this handbook is a definitive guide to the theoretical analyses, technological developments, and applications of FF-OCM. Using the rich information the book is replete with, a wide range of readers, from scientists and physicists to engineers as well as clinicians and biomedical researchers, can get a handle on the latest major advances in FF-OCM.Table of ContentsIntroduction to Full-Field Optical Coherence Microscopy. Theory of Imaging and Coherence Effects in Full-Field Optical Coherence Microscopy. Spatiotemporal Coherence Effects in Full-Field Optical Coherence Tomography. Cross Talk in Full-Field Optical Coherence Tomography. Signal Processing Methods in Full-Field Optical Coherence Microscopy. High-Speed Image Acquisition Techniques of Full-Field Optical Coherence Tomography. Toward Single-Shot Imaging in Full-Field Optical Coherence Tomography. Frequency Domain Full-Field Optical Coherence Tomography. Full-Field OCM for Endoscopy. Full-Field Optical Coherence Tomography and Microscopy Using Spatially Incoherent Monochromatic Light. Real-Time and High-Quality Online 4D FF-OCT Using Continuous Fringe Scanning with a High-Speed Camera and FPGA Image Processing. Digital Interference Holography for Tomographic Imaging. Technological Extensions of Full-Field Optical Coherence Microscopy for Multicontrast Imaging. Spectroscopic Full-Field Optical Coherence Tomography. Multiwavelength Full-Field Optical Coherence Tomography. Dual-Modality Full-Field Optical Coherence and Fluorescence Sectioning Microscopy: Toward All Optical Digital Pathology on Freshly Excised Tissue. Full-Field Optical Coherence Tomography for Rapid Histological Evaluation of ex vivo Tissues. FF-OCT Imaging: A Tool for Human Breast and Brain Tissue Characterization. Full-Field Optical Coherence Microscopy in Ophthalmology. Investigation of Spindle Structure and Embryo Development for Preimplantation Genetic Diagnosis by Subcellular Live Imaging with FF-OCT. FF-OCT for Nondestructive Material Characterization and Evaluation.

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Book SynopsisThis might be the first book that deals mostly with the 3D technology computer-aided design (TCAD) simulations of major state-of-the-art stress- and strain-engineered advanced semiconductor devices: MOSFETs, BJTs, HBTs, nonclassical MOS devices, finFETs, silicon-germanium hetero-FETs, solar cells, power devices, and memory devices. The book focuses on how to set up 3D TCAD simulation tools, from mask layout to process and device simulation, including design for manufacturing (DFM), and from device modeling to SPICE parameter extraction. The book also offers an innovative and new approach to teaching the fundamentals of semiconductor process and device design using advanced TCAD simulations of various semiconductor structures. The simulation examples chosen are from the most popular devices in use today and provide useful technology and device physics insights. To extend the role of TCAD in today’s advanced technology era, process compact modeling and DFM issues have been included for design–technology interface generation.Unique in approach, this book provides an integrated view of silicon technology and beyond—with emphasis on TCAD simulations. It is the first book to provide a web-based online laboratory for semiconductor device characterization and SPICE parameter extraction. It describes not only the manufacturing practice associated with the technologies used but also the underlying scientific basis for those technologies. Written from an engineering standpoint, this book provides the process design and simulation background needed to understand new and future technology development, process modeling, and design of nanoscale transistors.The book also advances the understanding and knowledge of modern IC design via TCAD, improves the quality in micro- and nanoelectronics R&D, and supports the training of semiconductor specialists. It is intended as a textbook or reference for graduate students in the field of semiconductor fabrication and as a reference for engineers involved in VLSI technology development who have to solve device and process problems. CAD specialists will also find this book useful since it discusses the organization of the simulation system, in addition to presenting many case studies where the user applies TCAD tools in different situations.Table of ContentsIntroduction. Technology CAD Tools. Technology Boosters. BiCMOS Process Simulation. SiGe/SiGeC Bipolar Transistors. Silicon Hetero-FETs. FinFETs. Advanced Devices. Memory Devices. Power Devices. Solar Cells. TCAD for Compact Modeling. TCAD for DFM. VWF and Online Laboratory.

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Book SynopsisAnalysis on the Influencing Factors of SSO of Direct-drive Wind Farm via MMC-HVDC Transmission.- Parameter Identification and Model Predictive Torque Control for Flywheel Energy Storage Systems with Permanent Magnet Synchronous Motors.- Harmonic Detection of Power Quality Based on Fractional-order Memristive Hyperchaotic System.- Electric Vehicle Dispatching Strategy for Improving the Flexibility of AC/DC Hybrid Distribution Networks.

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Book SynopsisThe conference offers a forum for academic and technical communication for researchers and engineers working in the fields of energy science and technology, electrical systems, and power electronics. It conducts in-depth exchanges and discussions on pertinent subjects like new energy and electrical technology. The book aids scholars and engineers worldwide in understanding the academic development trend and expanding their lines of inquiry by disseminating the research status of cutting-edge technologies and scientific research accomplishments. It also strengthens international academic research, academic topics exchange, and discussion, and encourages the industrialization of academic achievements.

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Book SynopsisThis book presents selected papers from the 8th International Conference on Advances in Energy Research (ICAER 2022), providing coverage encompassing advanced conventional energy technology, renewable and non-conventional energy technology, electric mobility, energy storage, energy, environment and society, industry innovations in energy, sector-coupled energy system, and energy education. The contents of this book are of use to researchers from not only scientific background, but also economics and anthropology. It encourages researchers to conduct research on the ways to assess and analyse the acceptance of the novel energy forms among the mass population from a financial and social perspective.Table of ContentsExperimental Investigation on Corrosive Nature of Acid Oil Biodiesel on Selected Automotive Materials.- Clear Sky and Real Sky Solar Radiation Modelling for Locations in India.- Prediction and Optimization of Thermal Conductivity and Viscosity of Stable Plasmonic TiN Nanofluid Using RSM and ANN Combined Approach for Solar Thermal Application.- From Slum to Slum Rehabilitation Housing: Comparing the Factors Affecting Energy Consumption and Environmental Satisfaction among the Low-Income Housing in Mumbai.- Experimental Investigation of Cooling Photovoltaic Panel using Turbo-Ventilator.- Thermal Performance of Multi-Tubular Sensible Energy Storage with Coil Inserts.- Modeling and Comparative Thermal Performance Analysis of a Biomass Gasifier using Different Gasifying Agents.- The Corrosion Analysis of Diesel Engine Parts on Application of Dual Biodiesel Blend.- Thermal Analysis of Multi Reflector Compound Parabolic Collector (MRCPC).- Capture and Characterization of Particulates from a Single-Cylinder Diesel Engine Fuelled with Refined Tire Pyrolysis Oil.- Estimation of Heat Generation and Thermal Behavior of Cylindrical Lithium-Ion Battery Under Natural Convection.- Numerical Investigation of the Thermal and Emissions Performance of a Hybrid Draft Biomass Cookstove.- Numerical Investigation of Melting of Layered PCM in Squared Cavity.- Electrochemical Hydrogen Storage within a Modified Reversible PEM Fuel Cell and its Performance Analysis with Interdigitated and Spiral Micro Flow Channels.- Effects of Ambient Condition on the Performance of Ammonia based Loop Heat Pipe.- Design and Development of Artificial Neural Network Based Prediction Model for Hemispherical Solar Still.

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