Computer networking and communications Books

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Book SynopsisThe book: PACKET TRACER FOR YOUNG BEGINNING ADMINS provides advice for people who want to learn about the operation of networks and the hardware that makes up today's network architecture. Beginners will learn how to download the simulator software and how to start working with it.

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Book SynopsisThe book: PACKET TRACER FOR YOUNG INTERMEDIATE ADMINS is designed for people who want to expand their skills and knowledge in the field of managing LAN and WAN networks.

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Book SynopsisThe book: PACKET TRACER FOR YOUNG ADVANCED ADMINS is a collection of scenarios and network simulations for users who already have at least basic knowledge of computer networks and experience in the work associated with the administration of basic devices, as well as management of network architecture.

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Book SynopsisThe book: COMPUTER NETWORKS IN PACKET TRACER FOR BEGINNERS provides advice for people who want to learn about the operation of networks and the hardware that makes up today's network architecture. Beginners will learn how to download the simulator software and how to start working with it.

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Book SynopsisThe book: COMPUTER NETWORKS IN PACKET TRACER FOR INTERMEDIATE USERS is designed for people who want to expand their skills and knowledge in the field of managing LAN and WAN networks.

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Book SynopsisThe book: COMPUTER NETWORKS IN PACKET TRACER FOR ADVANCED USERS is a collection of scenarios and network simulations for users who already have at least basic knowledge of computer networks and experience in the work associated with the administration of basic devices, as well as management of network architecture.

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book SynopsisThis book highlights the new urban–rural relationship that has emerged under the influence of e-commerce in China. In this regard, it presents case studies on the Suichang rural e-commerce model and Alibaba’s rural strategy, together with analyses of online service in China. Furthermore, by means of a brief review of the urban–rural relationship throughout China’s history, and of academic literature on the study of space, it explains the special logic of urbanization in China. As such, the book makes a valuable contribution to the body of literature on the space of flows and grassrooting, aspects that are essential to appreciating the complexity of the new urban–rural relationship in underdeveloped areas (including developing countries and underdeveloped areas in developed countries) in the ongoing information era.Table of ContentsChapter 1: IntroductionChapter 2: From Globalization to China’s UrbanizationChapter 3: A Unique Path: The Evolution of China’s Urban-Rural Relationship through HistoryChapter 4: Bottom-up Approach with Global Powerhouse: Suichang Model Chapter 5: Global Strengthen with Local Practice: Alibaba’s Rural StrategyChapter 6: Spatial Regeneration of Regional RestructuringChapter 7: Reflections: Urban Rural Flows with Online UrbanizationProspect: From Online Urbanization to Empire OnlineChinese Index

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Book SynopsisThis book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which relate to uncertainty handling and machine learning techniques respectively. Generally, fuzzy sets are considered as vague or uncertain sets having membership function lying between 0 and 1, and ANN is a type of artificial intelligence that attempts to imitate the way a human brain works by configuring specific applications, for instance pattern recognition or data classification, through learning processes.The book also presents C/MATLAB programming codes related to the basics of fuzzy set, interval arithmetic and ANN in a concise, practical and adaptable manner along, with simple examples and self-validation unsolved practice questions in few casesTable of ContentsSoft Computing.- Intervals.- Fuzzy Sets.- Fuzzy Numbers.- Fuzzy Relations.- Fuzzy Functions.- Fuzzy differentiation and integration.- Defuzzification.- Interval system of linear equations.- Interval eigenvalue problems.

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Book SynopsisThis book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.Table of ContentsChapter 1. Hybrid Cloud/Fog Environment for Healthcare: An Exploratory Study, Opportunities, Challenges, and Future Prospects.- Chapter 2. Hybrid Intelligent System for Medical Diagnosis in Healthcare.- Chapter 3. Remote Patient Monitoring Using IoT, Cloud Computing and AI.- Chapter 4. An Analytical Study of the Role of M-IoT in Healthcare Domain.- Chapter 5. Hybrid AI and IoT Approaches Used in Health Care for Patients Diagnosis.- Chapter 6. RADIoT: The unifying framework for IoT, Radiomics and Deep Learning Modelling.- Chapter 7. Hybrid Artificial Intelligence and IoT in Healthcare for cardiovascular patient in decision making system.- Chapter 8. A Smart Assistive System for Visually Impaired to in-form acquaintance using Image Processing (ML) supported by IoT.- Chapter 9. Internet of things in healthcare: A survey.- Chapter 10. Disease Diagnosis System for IoT-Based Wearable Body Sensors with Machine Learning Algorithm.- Chapter 11. Integration of Machine Learning and IoT in Healthcare Domain.- Chapter 12. Managing Interstitial Lung Diseases with Computer Aided Visualization.- Chapter 13. Use of Machine Learning Algorithms to Identify Sleep Phases Starting from ECG Signals.- Chapter 14. Emerging Technologies for Pandemic and its Impact.- Chapter 15. Impact of Artificial Intelligence in Healthcare: A Study.

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Book SynopsisThis book presents select proceedings of the International Conference on Evolution in Manufacturing (ICEM 2020), and examines a range of areas including internet-of-things for cyber manufacturing, data analytics for manufacturing systems and processes and materials. The topics covered include modeling simulation and decision making in cyber physical systems for supporting engineering and production management, innovative approach in materials development, biomaterial applications, and advancement in manufacturing and material technologies. The book also discusses sustainability in manufacturing and supply chain management including circular economy. The book will be a valuable reference for beginners, researchers, and professionals interested in smart manufacturing in engineering, production management and materials technology.Table of ContentsIndustry 4.0 and sustainable manufacturing: A bibliometric based review.- Effect of Discharge Energy on performance characteristics of Inconel 825 in Wire Electric Discharge machining.- Performance Improvement of Cutting tools with coating on tools in machining of Titanium alloy- A review.- Joining of similar and dissimilar metals through microwave hybrid heating & its characterization: A Review.- Evaluation of Cylindricity Deviation from Coordinate Measurement Data using a Volume Hunting Method.- Investigations of Laser Machining Parameters Using Taguchi Approach for Response Kerf Ratio.- A Review on Importance of Dielectric Fluids for Electro Discharge Machining (EDM).- A Comprehensive review on Single and Multi-Objective Optimization of Liquid Composite Moulding Process.

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Book SynopsisThis book focuses on energy efficiency concerns in fog–edge computing and the requirements related to Industry 4.0 and next-generation networks like 5G and 6G. This book guides the research community about practical approaches, methodological, and moral questions in any nations’ journey to conserve energy in fog–edge computing environments. It discusses a detailed approach required to conserve energy and comparative case studies with respect to various performance evaluation metrics, such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies with state-of-the-art approaches, with fog and edge networks.Table of ContentsChapter 1: Energy-aware resource scheduling in FoG environment for IoT-based applicationsRajeev Tiwari, Mamta Mittal, Shelly, Sumit KumarChapter2: DoSP: A Deadline-Aware Dynamic Service Placement Algorithm for Workflow-oriented IoT Applications in Fog-Cloud Computing EnvironmentsMeeniga Sriraghavendra, Priyanka Chawla, Huaming Wu, Sukhpal Singh Gill, and Rajkumar BuyyaChapter 3: Improvement of Task Offloading for Latency Sensitive Tasks in Fog Environment Parmeet Kaur and Shikha MehtaChapter 4: A Sustainable Energy Efficient IoT-Based Solution for Real Time Traffic Assistance using Fog ComputingBhawna Suri, Shweta Taneja, Sunny Kumar, SumitChapter 5: Analysis on Application of Fog Computing in Industry 4.0 and Smart CitiesSuja Cherukullapurath Mana , B.Keerthi Samhitha ,Deepa D, Vignesh RChapter 6: Fog-Computing: A Novel Approach For Cloud-based devices Using Perceptual Cloning Manifestation-PERCOLNIF Taxonomy by Energy Optimization.Rupa Kesavan, Vijayaraja Loganathan, Shankar T and Periasamy J KChapter 7: Performance Evaluation and Energy Efficient VM Placement for Fog assisted IoT EnvironmentSudhansu Shekhar Patra, ,Mamta Mittal, D Jude Hemantha, Mahmoud AL Ahmad and Rabindra Kumar BarikChapter 8: Load Balancing in Fog Computing using QoS Shilpi Harnal, Gaurav Sharma, Nidhi Seth, Ravi Dutt MishraChapter 9: Fog Computing in Industry 4.0: Applications and Challenges – A Research Roadmap Sita Rani, Aman Kataria and Meetali ChauhanChapter 10: Fog Computing based Architecture for Smart City Projects and Applications Naishadh Mehta, Anand Ruparelia, and Jai Prakash Verma Chapter 11: Integration of Fog Computing and IoT Based Energy Harvesting (EHIoT) Model for Wireless Sensor NetworkH.M.K.K.M.B. Herath , R.D.D. Prematilake , B.G.D.A. MadhusankaChapter 12: Design and Development of Efficient Secure Routing Mechanism For Wireless Sensor NetworkTaranath N L, Roopashree H R, Yogeesh A C, Darshan L M, C K SubbarayaChapter 13: Futuristic Communication Systems using Mobile Edge ComputingManinder Jeet Kaur, Piyush Maheshwari, Sadia Riaz, Arif MushtaqChapter 14: Methodology to ensure the continuity of the information systems service, based on the monitoring of electrical energy, using IOT technologyWilver Auccahuasi, Kitty Urbano, Edward Flores, Luis Romero, Monica Diaz, Edwin Felix, Nicanor Benites, Fernando Sernaque, Denny Lovera, Orlando Pacheco and Mario Ruiz

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Book SynopsisThis book proposes a comprehensive overview of the state-of-the-art research work on multimedia analysis in IoT applications. This is a second volume by editors which provides theoretical and practical approach in the area of multimedia and IOT applications and performance analysis. Further, multimedia communication, deep learning models to multimedia data, and the new (IOT) approaches are also covered. It addresses the complete functional framework in the area of multimedia data, IoT, and smart computing techniques. It bridges the gap between multimedia concepts and solutions by providing the current IOT frameworks, their applications in multimedia analysis, the strengths and limitations of the existing methods, and the future directions in multimedia IOT analytics.Table of ContentsChapter 1. An Overview of Multimedia Technologies in Current era of Internet of Things (IoT).- Chapter 2. A Deeper Look into Wind Powered IoT based Sustainable Organic Compost Machine.- Chapter 3. An Intelligent Music Recommendation Framework for Multimedia Big Data: a Journey of Entertainment Industry.- Chapter 4. A survey on Multimedia Technology and Internet of Things.- Chapter 5. The Latest Emerging Technologies In Big Data.- Chapter 6. Realtime accident detection and alarm generation system over IoT.- Chapter 7. Smart Automobile Health Monitoring System.- Chapter 8. Fault Detection And Data Management for IIOT.- Chapter 9. Theoretical and Instructional Aspects of Using Multimedia Resources in Language Education: A Cognitive View.- Chapter 10. Data mining techniques for producing clustering in Big Data with MapReduce function.- Chapter 11. Machine Learning Techniques for Biometric Fingerprint Recognition Using the Magnitudes to Provide Privacy and Integrity.- Chapter 12. Study and Develop an Effective Int faces to upload Data into Enterprise Resource Planning System.

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Book SynopsisThis book includes high-quality papers presented at Proceedings of First International Conference on Computational Electronics for Wireless Communications (ICCWC 2021), held at National Institute of Technology, Kurukshetra, Haryana, India, during June 11–12, 2021. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in computational electronics with an emphasis on wireless communications. The topics covered in the book are radio frequency and microwave, signal processing, microelectronics and wireless networks. Table of ContentsChapter 1. Design of DGS Compact UWB Antenna for C, X, Ku and Ka-Band Applications using ANN and ANFIS Optimization Techniques.- Chapter 2. Design and analysis of MIMO antenna to reduce the mutual coupling between the circular patches at 3.5 GHz.- Chapter 3. Comparative analysis of Dipole and Bowtie Antenna on 2.4 GHz.- Chapter 4. Gain Enhancement of Dual Layer Patch antenna for WLAN Applications.- Chapter 5. Dual Band Microstrip Patch Antenna for Wireless Communication.- Chapter 6. Dual band tag antenna design for UHF-RFID band applications with high read range Performance.- Chapter 7. Impact of Packet Retransmission on VoWiFi Cell Capacity using Fifth Generation WLAN.- Chapter 8. Efficient Channel Estimation in mmWave massive MIMO using hybrid beamforming.- Chapter 9. Efficient Techniques for FIR Filter Designing.- Chapter 10. Design and Analysis of Two-Stage Operational Amplifier for Biomedical Applications.- Chapter 11. CMOS CDBA based Low Voltage Low Power Universal filter.- Chapter 12. A Case Study and view on Current Trends in Solar Energy: Path to A Greener Environment.- Chapter 13. Design and Simulation of Serial Peripheral Interface Protocol using Pulsed Latches.- Chapter 14. Low-Power High-performance Hybrid Scalable Full Adder for Fast Computation.- Chapter 15. A Novel Controlled Positive Feedback Class AB OTA.

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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 SynopsisThis book presents best selected papers presented at the Second International Conference on Emerging Technologies for Computing, Communication and Smart Cities (ETCCS 2021) held on 21-22 August 2021 at BFCET, Punjab, India. IEI India members supported externally. It is co-organized by Southern Federal University, Russia; University of Jan Wyżykowski (UJW), Polkowice, Poland, SD College of Engineering & Technology, Muzaffarnagar Nagar, India as an academic partner and CSI, India for technical support. The book includes current research works in the areas of network and computing technologies, wireless networks and Internet of things (IoT), futuristic computing technologies, communication technologies, security and privacy.Table of ContentsHealth Care Transformation Traditional to Telemedicine : A Portrayal.- Comparative analysis of semantic similarity word embedding techniques for paraphrase detection.- Machine Learning approach for identifying survival of Bone Marrow Transplant patients.- Human Disease Prognosis and Diagnosis using Machine Learning.- Design and Development of Enhanced Secured Video Communication System for Medical Video Sensor Network.- A novel smart aging approach for monitor the lifestyle of elderlies and identifying anomalies.- Spatial Analysis of Violent Crime Dataset Using Machine Learning.- Design of facial recognition based touchless biometric system.- Cloud Supported Secure e-Card College Management System.- Smart Traffic Monitoring with Fog and Cloud Computing.- Optimal Power Flow Using Firefly Algorithm with Solar Power.- Experimental Evaluation of QFT Adders on IBM QX Hardware.- Adoption of Blockchain for Data Privacy in 6G-envisioned Augumented Reality: Opportunities and Challenges.- Reusability Estimation of Object-Oriented (O-O) Systems using SOM Technique.- Impact of Green Communication & Technology System.- Recent Advancement in Fine-Grained access control and secure data sharing scheme for distributed environment.- Review on Security of Internet of Things: Security Requirements, Threats, and Proposed Solutions.- Blockchain-driven and IoT-assisted Chemical Supply-Chain Management.

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Book SynopsisThe book presents latest multi-agent technologies in human-centered computing (HCC) to provide a new research direction to enrich the human socio computations. Nowadays, the research in the field of multi-agent system (MAS) has gained a wide spread recognition due to its interdisciplinary nature and a vast versatile application domain including engineering, social science, economics, mathematics, operational research, etc. It has been proved that agents in MAS are the most appropriate technological paradigm for providing the most optimal solution for different kinds of complex real world problems that may be industrial or it might be specifically related to social problems. Keeping these features in mind, we planned to tune the research of latest multi-agent technologies and tried to compose its effect on HCC corridor. The primary audience of this book are research students of computer science, information technology and it will be also very helpful for software professionals to get developmental ideas to boost their computing activities.Table of ContentsIntroduction to Multi-Agent Systems.- Human-Computer Interactions through Multi-Agent Systems: Design and Implementations.- Social Behavior and Reasoning Through Multi Agent Systems.- Prevalence of Multi Agent System Consensus in Cloud Computing.- The Role of Multi Agent Systems in IoT.- Agent based Human Supportive Applications.- Multi Agent System Applications in Healthcare: A Survey.- Applications of Multi Agent Systems in Intelligent Healthcare.- Multi Agent Reinforcement Learning for Stock Market Strategy Analysis.- Multi-Agent Systems: Future Initiatives.

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Book SynopsisThis book consists of high-quality papers presented at the International Conference on Computational Science and Applications (ICCSA 2021), held at Maharashtra Institute of Technology World Peace University, Pune, India, from 10 – 11 December 2021. It covers the latest innovations and developments in information and communication technology, discussing topics such as algorithms, data structures and applications; wireless and mobile networks; computer networks and communications; natural language processing and information theory; cryptography and information security.Table of ContentsNovel Approach for Feature Selection Using Genetic Algorithm.- A User-Driven COVID-19 Diseases Contact Tracing System.- A Study of Genetic Mutations, Amplification, Deletion and Fusion in Endocrine Resistant Advanced Breast Cancer.- TrueReview—A Review Scraper and Analyzer for Customer Product Reviews for E-commerce Sites using Text Mining.- Survey of Sentence Scoring Techniques for Extractive Text Summarization

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Book SynopsisThis book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2021), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during December 9–10, 2021. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas.Table of ContentsChapter 1. Rakshak – Prototype Application to Depict Crime Hotspot and Safest Path between locations.- Chapter 2. Block Chain Technology in Application Development and Associated Challenges.- Chapter 3. Hybrid Statistical and Deterministic Based Pedestrian Tracking Algorithm for Location-Based IoT Applications.- Chapter 4. MAC based Secure Data Transmission in Vehicular Adhoc Networks.- Chapter 5. A Study on Challenges in Data Security During Data Transformation.- Chapter 6. An Edge-based Disjoint Path Selection Scheme for FANETs.- Chapter 7. Sign Language Interpreter.- Chapter 8. Architectural Insight of Neural Information Extraction, Retrieval and Processing for Multi-Modal Neural Search.- Chapter 9. A Comparative Study Analysis on Air Monitoring and Purification Systems.- Chapter 10. Malicious Node Detection and Prevention for Secured Communication in WSN.- Chapter 11. Performance Analysis and Assessment of Various Energy Efficient Clustering based Protocols in WSN.- Chapter 12. Academic Data Analysis and Projection using Artificial Intelligence.- Chapter 13. Analysis of Factor Verification Affecting Recruitment Process through Social Dynamics.- Chapter 14. Routing Protocols in an Opportunistic Network: A Survey.- Chapter 15. K-Splits: Improved K-Means Clustering Algorithm to Automatically Detect the Number of Clusters.

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Book SynopsisThis book proposes a comprehensive overview of the state-of-the-art research work on multimedia analysis in IoT applications. This is a third volume by editors which provides theoretical and practical approach in the area of multimedia and IOT applications and performance analysis. Further, multimedia communication, deep learning models to multimedia data, and the new (IOT) approaches are also covered. It addresses the complete functional framework in the area of multimedia data, IoT, and smart computing techniques. It bridges the gap between multimedia concepts and solutions by providing the current IOT frameworks, their applications in multimedia analysis, the strengths and limitations of the existing methods, and the future directions in multimedia IOT analytics.Table of ContentsQuantum Blockchain Approach for Security Enhancement in Cyber World.- Quantum Computing for Healthcare: A review on Implementation Trends and Recent Advances.- Towards Task Scheduling Approaches to Reduce Energy Consumption in Cloud Computing Environment.- An Efficient Data Transferring through Li-Fi Technology: A Smart Home Appliance.- Modeling of Fuzzy Logic Based Classification System Using the Gravitational Search Algorithm.- Big Data Based Image Handling – A Review of Implementation using Amazon Web Services.- Real Time System for Forecasting Natural Disasters using the Social Network.- Call Based Smart Transportation using Artificial Intelligence.- Design Issues for Developing Routing Protocols for Flying Adhoc Network.- Online Stream Processing and Multimedia Oriented IoT: Tools for Sustainable Development of Smart Cities.- Big Data Analytics and Data Mining for Healthcare Informatics (HCI).- Integration of Quantum Computing and Blockchain Technology: A Cryptographic Perspective.

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Book Synopsis“Smart City” programs and strategies have become one of the most dominant urban agendas for local governments worldwide in the past two decades. The rapid urbanization rate and unprecedented growth of megacities in the 21st century triggered drastic changes in traditional ways of urban policy and planning, leading to an influx of digital technology applications for fast and efficient urban management. With the rising popularity in making our cities “smart”, several domains of urban management, urban infrastructure, and urban quality-of-life have seen increasing dependence on advanced information and communication technologies (ICTs) that optimize and control the day-to-day functioning of urban systems. Smart Cities, essentially, act as digital networks that obtain large-scale real-time data on urban systems, process them, and make decisions on how to manage them efficiently. The book presents 26 chapters, which are organized around five topics: (1) Conceptual framework for smart cities and communities; (2) Technical concepts and models for smart city and communities; (3) Civic engagement and citizen participation; (4) Case studies from the Global North; and (5) Case studies from the Global South.Table of ContentsIntroduction.- Technology Talks: The Evolution and Rhetoric of Smartcities.- Projects for Smart Cities: Ecosystems, Connected Intelligence and Innovation Driving the Radical Transformation of Cities.- The Histories of New (Geo)politics of Smart Villages Communities in a Global World: A Contribution to Geographical Debate.- Identifying, Mapping and Measuring Europe’s Smart Cities and Digital Divides: Hyperlink Variations in Primary, Secondary and Tertiary Cities.- Role of Smart Dustbin in Creating a Smart Environment.- Smart Technologies and Aging Society.- Conceptual Model of Mixed-methods Civic Engagement Infrastructure Using Cloud-based Computing Combined with On-site Engagement and Action Projects.- Digital Placemaking: An Analysis of Citizen Participation in Smart Cities.- Historian for a Day: A Use Case of Augmented Reality in Civic Engagement.

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Book SynopsisThis book covers major areas of device and data security and privacy related to the Internet of Things (IoT). It also provides an overview of light-weight protocols and cryptographic mechanisms to achieve security and privacy in IoT applications. Besides, the book also discusses intrusion detection and firewall mechanisms for IoT. The book also covers topics related to embedded security mechanisms and presents suitable malware detection techniques for IoT. The book also contains a unique presentation on heterogeneous device and data management in IoT applications and showcases the major communication-level attacks and defense mechanisms related to IoT.Table of ContentsPre-requisite concepts for Security and Privacy.- Basic concepts of Cloud and Fog Computing.- Access Control and Authentication in IoT.- Lightweight Cryptographic Techniques and Protocols for IoT.- Communication Security in IoT.- Intrusion Detection System with Layered Approach to Internet of Things- A Business Paradigm.- Malware Detection In IoT.- IoT Network used in Fog and Cloud Computing.- Internet of Vehicles: Features, Architecture, Privacy and Security Issues.- Cybersecurity and Ethics for IOT System : A Massive Analysis.- Blockchain for Enhancing Security of IoT Devices.- Challenges and Trends on Post Quantum Cryptography.

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Book SynopsisThis book presents high-quality research papers presented at 3rd International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2021) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 13–14, 2021. The book extensively covers recent research in artificial intelligence (AI) that knits together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.Table of ContentsDemand based Land Suitability Prediction Model for Sustainable Agriculture.- Power Generation Forecasting of Wind Farms using Machine Learning Algorithms.- Music Recommendation System Based on Emotion Detection.- Service Analytics on ITSM Processes using Time Series.- Comparative Analysis of Color-based Segmentation Methods Used for Smartphone Camera Captured Fingerphotos.- Prediction of Heart Disease through KNN, Random Forest and Decision Tree Classifier using K-Fold Cross Validation.- Distance Matrix Generation for Dynamic Vehicle Routing Optimization in Transport Fleets Management.- Enhancing Weighted Support Vector Machine for Noise Classification.- Optimized Hysteresis Region Authenticated Handover for 5G HetNets.- Performance Improvement of CTNR Protocol in Wireless Sensor Network Using Machine Learning.

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Book SynopsisThis book features selected papers presented at the 5th International Conference on Wireless Communications and Applications (ICWCA 2021), held at Hainan University, China. The book will focus on the presentation of the newest trends and achievements in the development of intelligent algorithms and network technologies in smart communications, with application in underwater communications, IoT-based marine surface communications as well as state-of-the-art real-time precise location technologies, Wi-Fi/Bluetooth locationing, array signal processing, and many others.Table of ContentsJoint Power and Channel Allocation for D2D Communication in Cellular Networks.- Design of Laser Holographic Digital Image Compensation Resource Cloud Storage Platform.- Research on Librarian Demand Prediction Based on the GM (1,1) model and BP Neural Network Combined Model.- Offloading Strategy of Computing Tasks in Cooperative Vehicle Infrastructure Systems.- Analysis and Implementation of Safe Transmission and Cluster Expansion Based on Tomcat.- Research on Key Technologies of New Generation Vehicle Wireless Network.

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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 gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.Table of ContentsCancer Prognosis by Using Machine Learning and Data Science: A systematic review.- Understanding Agriculture Scenario of Punjab: A Qualitative Research of Crop parameter in relation to fertilizer usage.- Face Detection Based Border Security System Using Haar-Cascade and LBPH Algorithm.- Proposed Experimental Design of a Portable COVID-19 Screening Device Using Cough Audio Samples.- Big Data Framework for Analytics Business Intelligence.- Technological Impacts of AI on Hospitality and Tourism Industry.- Improvement of Real-Time Kinematic Positioning Using Kalman Filter-Based Singular Spectrum Analysis during Geomagnetic Storm for Thailand sector.

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Book SynopsisEmulation is a hybrid experimentation technique intended to bridge the gap between simulation and real-world testing. The key idea of emulation is to reproduce in real time and in a controlled manner the essential functionality of a system, so that it can interact with other real systems that can thus be evaluated. This book describes the technique of network emulation and compares it with the other experimental approaches: the scholarly analytical modeling, the popular network simulation, and the demanding real-world testing. To emphasize the practical aspects related to emulation, this book presents a large number of examples of network emulators on the market, as well as provides an in-depth analysis of a case study, the wireless network emulation testbed called QOMB.Trade Review"Since network emulation permits investigation of how higher-level protocols interact with the underlying network behaviour, it will be of particular interest to anyone tasked with designing and rolling out new applications and services, especially those aimed at wireless transport. This book represents a comprehensive survey of the current state of the art. It will give the readers a good sense of the various techniques available, allowing them to make an informed decision as to which are appropriate to their particular problem."—Dr. Neil Davies - Predictable Network Solutions, UK"The Internet is becoming a network spanning this planet, integrated into our world like the nerve network of the human body. In the 20th century we developed the Net, and in the 21st century we are starting to understand, analyze and plan with the highest wisdom from ‘network emulation’. This book covers network emulation from all the viewpoints on ‘evidence-based’ approaches to network science."—Prof. Jun Murai - Keio University, Japan"Trustworthiness of network systems is the fundamental requirement for our life to be safe and functional, as every aspect of our social and personal activities is heavily dependent on them. This book is a comprehensive and thorough introduction to network emulation, one of the key technologies for establishing network trustworthiness by testing a constructed real-like network. The author has been engaged in the research and development of the technology for many years, and this book will be definitely valuable to serious network engineers and researchers."—Prof. Takuya Katayama - Japan Advanced Institute of Science and Technology, Japan"Due to the currently available computational power and technologies, the scientific work makes use of sophisticated techniques like simulation, emulation, virtualization, etc. Network emulation is just one of the nowadays high-interest topics in computer networks that allow predicting application performance prior to deployment in real networks. This book offers the reader both a bird’s-eye view of the emulation of quality degradation in computer networks and a detailed view of the existing network emulation tools. An excellent introduction!"—Prof. Mihai Ivanovici - Transilvania University, România"This book presents a comprehensive classification of the state of the art in network emulation for both wired and wireless networks. The different technologies and trade-offs are described with the voice of experience. It is an invaluable and extremely practical guide that will be of great interest to researchers and practitioners in both the academic and commercial fields."—Dr. Brian Martin - CERN, SwitzerlandTable of ContentsIntroduction. The Ins and Outs of Network Emulation. Network Emulators to Remember. A Case Study: QOMB.

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Book SynopsisIntroduction to Real World Applications and Implementations of IoT.- Implementation of Smart Building Using Internet of Things IOT.- Role of BERT Model for Sequential Text Classification in Biomedical Abstracts.

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Book SynopsisThis book features high-quality, peer-reviewed research papers presented at the International Conference on Data Electronics and Computing (ICDEC 2022) organized by departments of Electronics and Communication Engineering, Computer Applications, and Biomedical Engineering, North-Eastern Hill University, Shillong, Meghalaya, India during 7 – 9 September, 2022. The book covers topics in communication, networking and security, image, video and signal processing; cloud computing, IoT and smart city, AI/ML, big data and data mining, VLSI design, antenna, and microwave and control.Table of ContentsCorrelation Analysis of Stock Index Data Features using Sequential Rule Mining Algorithms.- A CRF-based POS tagging approach for Bishnupriya Manipuri language​.- Text and Language independent classification of voice calling platforms using deep learning.- IFS: An Incremental Feature Selection Method to Classify High Dimensional Data.- Computer-Aided Identification of Loom Type of ethnic textile, the Gamusa, using Texture features and Random Forest Classifier.

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Book SynopsisThis book gathers selected high-quality research papers presented at the Eighth International Congress on Information and Communication Technology, held at Brunel University, London, on 20–23 February 2023. 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 ContentsEMG Controlled Modular Prosthetic Hand – Design and Prototyping.- Application of Super Resolution for optical character recognition in low quality images.- Emotion recognition using electroencephalogram signals and a 1-D local binary pattern for an ML-classification-based approach.- User Clustering in mm wave Quality of Service Based Non Orthogonal Multiple Access (QNOMA) for Vehicular Network.- A Study of the Potential of Online Learning of Kasetsart University Faculty Members.- Anomalous-Aggressive Event Detection Techniques.- Robot-based auto-labeling system for 6D pose estimation.- Rehabilitation of the Lower Limb Motor Skills for Patients Using Cable-Driven Robot.- Knowledge Management in Integrated Media for Public Relation on Innovative Thai Cuisine to Global Market Project.- A new architecture for Diabetes prediction using data mining, deep learning and ensemble algorithms.- A New Method and Case Study for Predicting Tutoring Performance in Students at the Universidad Politécnica Salesiana using Data Science and Support Vector Machines.- A Study on the Pressure Sensor for Estimating the Load Point in a Prosthetic Socket.- Modification of Dijkstra’s Algorithm for Best Alternative Routes.- Comprehensive Performance Evaluation of Mobile Networks in Macao based on Field Test Data.- A security-based e-government adoption framework: An outcome of a systematic literature review.- Content Moderator Startle Response: A Qualitative Study.- Disparity of Abstract Color Representations in Convolutional Networks.- Sentiment Analysis About the Popular Soccer Player Mbappe on Social Media and Newspapers.- Sentiments Analysis on the Implementation of Online Learning in the Philippines using Visual Analytics.- Real-Time Multi-Class Classification of Water Quality Using MLP and Ensemble Learning.- BellChat: An Inclusive Web Application for Messaging.- Hydration Automation (HA): Smart Tank.- Improving The Resume Verification Process Of Financial Professionals Using Blockchain Smart Contracts.

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Book SynopsisThis book comprises the proceedings of the 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2022). This book highlights high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers in this volume are peer-reviewed by experts in related areas. The book will serve as a valuable reference resource for academics and researchers across the globe.Table of ContentsAnalysis of Prevalence of Flat Foot in Primary School Children.- The development of advanced deep learning-based EoR Signal separation techniques.- An Integrated Deep Learning Deepfakes Detection Method (IDL-DDM).- Melanoma Detection Using Convolutional Neural Networks.- Reinforcement Learning Based Spectrum Sensing And Resource Allocation In WSN-IoT Smart Applications.- Planning and Construction of a Quantum Model of the SHA-1 Algorithm Using IBM’s Qiskit.- Machine Learning Based Path-loss Estimation Model for a 2.4 GHz ZigBee Network.- Heart Device for expectation of coronary illness utilizing Internet of Things.- An Extensive Study of Frequent Mining Algorithms for Colossal Patterns.- A Review Paper On Progressive Approach To Reduce Context Switching in Round Robin Scheduling Algorithm.- Transformer model for human activity recognition using IoT wearables.- Design and Development of a Chatbot for Personalized Learning in Higher Education.- Performance Evaluation of Concentric Hexagonal Array for Smart antenna applications.- Vegetation Change Detection of Multispectral Satellite Images Using Remote Sensing.- Performance evaluation of neural networks based virtual machine placement algorithm for server consolidation in cloud data centers.- Artificial Neural Network Based Fault Classification and Location Identification in Over Head Transmission Lines.- E-learning paradigm in Cloud computing and pertinent challenges in models used for cloud deployment.- Parkinson’s Disease Detection: Comparative Study Using Different Machine Learning Algorithms.- Implementation of Blockchain in Automotive Industry to Secure Connected Vehicle Data: Study and Analysis.- A Study of Comparison Between YOLOv5 and YOLOv7 for Detection of Cracks in Concrete Structures.- Machine Learning-Based Identification as well as Classification of Functional and Non-functional Requirements.- Expiry Date Detection on Product Packages with the Help of a Generalized Framework Using Fully Convolutional Networks.- Fake News Detection in Dravidian Languages using Transformer Models.- A Review on Artificial Intelligence Techniques for Multilingual SMS Spam detection.- Fusion of LBP and Median LBP for Dominant Region based Multimodal Recognition using Imperfect Face and Gait Cues.

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Book SynopsisMaster the technical skills and industry knowledge for an exciting career installing, configuring and troubleshooting computer networks with West's COMPTIA NETWORK+ GUIDE TO NETWORKS, CENGAGE INTERNATIONAL EDITION, 10th Edition, which prepares you for success on the CompTIA's Network+ N10-009 certification exam as content corresponds to all exam objectives, including protocols, topologies, hardware, cloud, network design, security and troubleshooting. Step-by-step instructions and cloud, virtualization and simulation projects give you experience working with hardware, software, operating systems and device interactions. Stories from professionals, discussion prompts, scenario-based practice exam questions, hands-on activities and projects help you explore key concepts. Gain problem-solving tools for any computing environment. MindTap digital resources are also available for additional practice and certification prep.

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Book SynopsisThe advent of Internet of Things (IoT) has paved the way for sensing the environment and smartly responding. This can be further improved by enabling intelligence to the system with the support of machine learning and deep learning techniques. This book describes learning algorithms that can be applied to IoT-based, real-time applications and improve the utilization of data collected and the overall performance of the system. Many societal challenges and problems can be resolved using a better amalgamation of IoT and learning algorithms. Smartness is the buzzword that is realized only with the help of learning algorithms. In addition, it supports researchers with code snippets that focus on the implementation and performance of learning algorithms on IoT based applications such as healthcare, agriculture, transportation, etc. These snippets include Python packages such as Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, and more. Learning Algorithms for Internet of Things provides you with an easier way to understand the purpose and application of learning algorithms on IoT. What you'll LearnSupervised algorithms such as Regression and Classification. Unsupervised algorithms, like K-means clustering, KNN, hierarchical clustering, principal component analysis, and more. Artificial neural networks for IoT (architecture, feedback, feed-forward, unsupervised). Convolutional neural networks for IoT (general, LeNet, AlexNet, VGGNet, GoogLeNet, etc.). Optimization methods, such as gradient descent, stochastic gradient descent, Adagrad, AdaDelta, and IoT optimization. Who This Book Is For Students interested in learning algorithms and their implementations, as well as researchers in IoT looking to extend their work with learning algorithms

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Book SynopsisGain a comprehensive understanding of digital reliability to ensure consistent, dependable user experiences that foster trust in technology. Part of author Saurav Bhattacharya's trilogy that covers the essential pillars of digital ecosystemssecurity, reliability, and usabilitythis book tackles the challenges of achieving high reliability in complex systems and provides strategies to overcome these obstacles. You'll start by reviewing the pivotal role of reliability in establishing the foundation of digital trust, essential for the sustainable growth of digital ecosystems.In today's digital landscape, characterized by rapid technological advancements and increasing cyber threats, understanding and addressing reliability issues are paramount. As transformative technologies like AI, blockchain, and quantum computing emerge, grasping these fundamental principles becomes crucial. Enterprise Digital Reliability advocates for collaborative efforts among technologists, policymakers, and society to create digital environments that are innovative, inclusive, safe, and respectful of human values. What You Will LearnUnderstand the multifaceted concept of reliability in technology and its significance in building digital trustFoster innovation and inclusivity in digital environments and large-scale enterpriseand explore strategies to address them effectivelyProvide a framework for understanding and achieving digital equilibriumExamine operational uptime and consistent user experiences crucial successful digital platformsWho This Book Is ForCybersecurity Professionals, Technology Developers and Engineers

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Book SynopsisChapter 1: Problem.- Chapter 2: Idea.- Chapter 3: Theory.- Chapter 4: Model.- Chapter 5: Architecture.- Chapter 6: Design.- Chapter 7: Implementation.- Chapter 8: Interactions.- Chapter 9: Conclusion.- Appendix A: Evolveburgh: A City of Innovation and Tradition.- Appendix B: Bibliography.

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Book SynopsisChapter 1: Automate the Workspace.- Chapter 2: Empowering Frontline Workers.- Chapter 3: VDI with Software Defined Network.- Chapter 4: Mobility Best Practices for Higher Education.- Chapter 5: Enterprise Mobility Management.- Chapter 6: Any App from Anywhere on Any Device.- Chapter 7: Consumerization of IT Services.- Chapter 8: IoT with Workspace One- Chapter 9: Delivering the Digital Workspace.- Chapter 10: Single Business WorkplaceChapter 11: Android and Citrix with Workspace One.- Chapter 12: A: Networking with Horizon.

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Book SynopsisChapter 1: Site Reliability Engineering 101.- Chapter 2: Scale Site Reliability Engineering Capability in Enterprise.- Chapter 3: Site Reliability Engineering: best in class and case studies.- Chapter 4: Future of Site Reliability Engineering.- Chapter 5: Deep dive into essential Site Reliability Engineering practices: Chaos Engineering and Observability.- Chapter 6: Learn how to start and on what to focus in complex Enterprise.

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Book SynopsisChapter 1: Introduction to Identity and Access Management on Google Cloud Platform.- Chapter 2: Managing Roles, Policies and Permissions.- Chapter 3: Advanced IAM Features.- Chapter 4: Service Accounts and Workload Identity.- Chapter 5: Securing APIs and Workloads.- Chapter 6: Automating IAM Policies.- Chapter 7: Auditing and Monitoring IAM Policies.- Chapter 8 : Managing Multi-Cloud and Hybrid IAM.- Chapter 9:Securing Sensitive Data with IAM.- Chapter 10: AI-Driven Identity and Access Management.

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