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• 1. Introduction
• 1.1. Optical wireless communication
• 1.2. VLC in autonomous vehicles and ITS
• 1.3. Research in the usage of VLC in AV and ITS
• 1.4. Standardization efforts
• 1.5. The architecture of the VLC system
• 1.6. Noise and SNR
• 1.7. Chapter summary

• 2. Channel modeling for the V2V-VLC system
• 2.1. Channel modeling for VLC
• 2.2. Channel modeling for V2V-VLC system
• 2.3. (2 x 2) MIMO V2V-VLC system model
• 2.4. Channel impulse response and transfer function
• 2.5. Performance analysis of the V2V-VLC channel model
• 2.6. Simulation and results
• 2.7. Chapter summary

• 3. Optical OFDM basics
• 3.1. OFDM principle
• 3.2. Optical OFDM
• 3.3. Related work in adaptive modulation for VLC
• 3.4. Optical OFDM scheme of a V2V-VLC system
• 3.5. Performance analysis and bit loading algorithm
• 3.6. Results and discussions
• 3.7. Chapter summary

• 4. Precoder and equalizer in 2 x 2 MIMO VLC systems
• 4.1. Related work in precoding and equalization for VLC
• 4.2. Dimming control technique and its performance in VLC systems
• 4.3. Precoder and equalizer in 2 x 2 MIMO V2V-VLC systems
• 4.4. Simulation and results
• 4.5. Chapter summary

• 5. Shadowing effects on visible light communication
• 5.1. Shadowing in VLC
• 5.2. Channel impulse response with shadowing
• 5.3. Shadowing effect
• 5.4. Error probability
• 5.5. Simulations
• 5.6. Chapter summary

• 6. Sunlight effect on V2V-VLC system and denoising schemes
• 6.1. Solar irradiance
• 6..2 SNR of V2V-VLC system
• 6.3. Related work in denoising schemes for VLC
• 6.4. Noise calculations
• 6.5. Differential receiver as a denoising scheme to improve the performance of V2V-VLC systems
• 6.6. V2V-VLC denoising scheme using machine learning
• 6.7. Chapter summary
• Appendix A. Certain VLC terminologies

Visible light communication (VLC) has emerged as an attractive alternative to radio frequency (RF) communication, due to its abundant, license free bandwidth and cost-effectiveness. The visible light spectrum is much larger than the entire RF spectrum, and largely unexplored. VLC has proved its viability in automotive applications to provide short range vehicle-to-vehicle and vehicle-to-infrastructure communications due to increased deployment of LED lights and image sensors in modern vehicles. However, there are a few challenges, described in this book, that need to be addressed before global adaptation. VLC can be a blessing for intelligent transportation systems and autonomous vehicles. This book stands out as a must-read for researchers, graduate students and industry professionals who work in the VLC field. Part of IOP Series in Emerging Technologies in Optics and Photonics

• Foreword ix Preface xi Acknowledgements xv
• 1 Introduction 1 1.1 Motivation 1 1.2 Basic Fi-Wi System Architecture 10 1.3 Major Issues 12 1.4 Other Fiber Feeder Approaches 13 1.5 Book Outline 14
• 2 Important Fi-Wi Link Elements 17 2.1 RF-Optical Modulation 17 2.2 The Fiber Channel 29 2.3 Optical Receiver 36 2.4 Brief Review of Baseband-RF Modulation Techniques 40 2.5 The Wireless Channel 42
• 3 Power Link Budget and Cumulating SNR 49 3.1 Introduction 49 3.2 System Description 50 3.3 Optical Signal to Noise Ratio (OSNR) 51 3.4 Cumulative Signal to Noise Ratio (cSNR) 57 3.5 RAP Design Considerations 58 3.6 Summary 62
• 4 An Improved Expression for Relative Intensity Noise 63 4.1 Basics 63 4.2 The Fundamental Noise Processes in Radio over Fiber Links 64 4.3 The Signal to Noise Ratio 69 4.4 Numerical Evaluation and Discussion 71 4.5 Summary 72
• 5 Subcarrier Multiplexed ROF Downlink 75 5.1 Introduction 75 5.2 Background 75 5.3 The ROF Downlink Channel 77 5.4 The Wireless Downlink Channel 91 5.5 Numerical Evaluation and Discussion 92
• 6 Subcarrier Multiplexed ROF Uplink 97 6.1 The Wireless Uplink Channel 97 6.2 The ROF Uplink Channel 99 6.3 Signals to Distortion, Interference and Noise Ratios 111 6.4 Numerical Evaluations and Discussion 113 6.5 Summary 115
• 7 Externally Modulated ROF Links 121 7.1 Mach-Zehnder Modulator 121 7.2 Electro-Absorption Modulator (EAM) 125 7.3 Reflective Semiconductor Optical Amplifier (RSOA) 128 7.4 Optimization of the MZI Bias Voltage 128 7.5 Subcarrier Multiplexed Signals in MZI 135
• 8 DSP Modeling of the ROF Link Nonlinearity 141 8.1 Introduction 141 8.2 Various Attempts to Reduce NLD 142 8.3 DSP Approaches 144 8.4 Basics of DSP for Nonlinear Systems 146 8.5 Baseband Representation of a Passband Complex Nonlinear System 148 8.6 Nonlinear Modeling of Fi-Wi Link 149
• 9 Adaptive Compensation for the ROF Link Nonlinearity 151 9.1 Adaptive Modeling of the ROF Link 151 9.2 Asymmetric Compensation 159 9.3 Summary 169
• 10 Joint Estimation of the Fiber Wireless Channel 171 10.1 The Wiener and Hammerstein System Model for Fi-Wi Links 171 10.2 Fiber-Wireless Channel Estimation 172 10.3 Case Study 180 10.4 Summary 182
• 11 Joint Equalization for the Fiber Wireless Channel 185 11.1 Equalization of the Wireless Channel 185 11.2 Optimization of Polynomial Filter Parameters 189 11.3 Optimization of Linear Filter Parameters 191 11.4 Summary 196
• 12 Performance Evaluation of the Hammerstein type DFE 197 12.1 Evaluation of the Polynomial Filter 197 12.2 Evaluation of Linear Filters 203 12.3 Case Study 204 12.4 Summary 212
• 13 Multiuser CDMA Fi-Wi Systems 213 13.1 Multiuser Fi-Wi Uplink Model 213 13.2 Correlation Relationships 215 13.3 ROF Channel Estimation 220 13.4 Case Study 221 13.5 Fiber-Wireless Uplink Equalization 224 13.6 Equalization: Simulation Results and Discussion 225 13.7 Summary 227
• 14 Fi-Wi for 4G, 5G and OFDM Wireless Networks 229 14.1 Brief History of Cellular Communication Systems 230 14.2 Wireless Access Schemes 232 14.3 Peak to Average Power Ratio Reduction Techniques 235 14.4 OFDM ROF System Improvement 237 14.5 Combinations of OFDMA and CDMA 241 14.6 Summary 242 References 243 References 248 List of Abbreviations 249.
• (source: Nielsen Book Data)

A comprehensive evaluation of Fi-Wi, enabling readers to design links using channel estimation and equalization algorithms This book provides a detailed study of radio over fiber (ROF) based wireless communication systems, otherwise called fiber wireless (Fi-Wi) systems. This is an emerging hot topic where the abundant bandwidth of optical fiber is directly combined with the flexibility and mobility of wireless networks to provide broadband connectivity. Its application is increasing because of the growing demand for broadband wireless services. In such a system the transmission of the radio signals over a fiber is an important task. This book provides substantial material on the radio over fiber part of the complete fiber-wireless system, including new research results on the compensation methods. The early chapters provide fundamental knowledge required for a non-expert engineering professional as well as senior/graduate level students to learn this topic from scratch. The latter part of the book covers advanced topics useful for researchers and senior students. Therefore, this book provides a comprehensive understanding of the system for readers who will gain enough knowledge to design Fi-Wi links of their own by learning how to develop Fi-Wi channel estimation and equalization algorithms. This concept is completely novel in current literature and has been patented by the author. Readers are expected to have a basic understanding of fiber optics and wireless communications to easily follow the book and to appreciate the concepts. Basics of the Fi-Wi system and signal processing approaches are clearly explained. It covers a multidisciplinary topic and acts as a bridge between optical and wireless communication domains. In the increasingly demanding telecommunications profession, engineers are expected to have knowledge in both optical and wireless communications and expected design combined/hybrid systems. Hence, the book is written in such a way that both optical and wireless professionals will be able to easily understand and perceive the concepts. * follows a logical process from basic principles through to advanced topics, providing a wide range of interest for researchers, practicing engineers, students, and those required to build such networks * explains detailed system design concepts and the limitations and advantages in each configuration, appealing to design engineers, and largely avoiding system specifics * demonstrates the author s exclusive patent, showing how to develop baseband signal processing algorithms for Fi-Wi systems, which is a key requirement for the successful deployment of Fi-Wi systems * contains tables, numerical examples and case studies, facilitating a good quantitative understanding of the topic.
(source: Nielsen Book Data)

• Foreword ix Preface xi Acknowledgements xv
• 1 Introduction 1 1.1 Motivation 1 1.2 Basic Fi-Wi System Architecture 10 1.3 Major Issues 12 1.4 Other Fiber Feeder Approaches 13 1.5 Book Outline 14
• 2 Important Fi-Wi Link Elements 17 2.1 RF-Optical Modulation 17 2.2 The Fiber Channel 29 2.3 Optical Receiver 36 2.4 Brief Review of Baseband-RF Modulation Techniques 40 2.5 The Wireless Channel 42
• 3 Power Link Budget and Cumulating SNR 49 3.1 Introduction 49 3.2 System Description 50 3.3 Optical Signal to Noise Ratio (OSNR) 51 3.4 Cumulative Signal to Noise Ratio (cSNR) 57 3.5 RAP Design Considerations 58 3.6 Summary 62
• 4 An Improved Expression for Relative Intensity Noise 63 4.1 Basics 63 4.2 The Fundamental Noise Processes in Radio over Fiber Links 64 4.3 The Signal to Noise Ratio 69 4.4 Numerical Evaluation and Discussion 71 4.5 Summary 72
• 5 Subcarrier Multiplexed ROF Downlink 75 5.1 Introduction 75 5.2 Background 75 5.3 The ROF Downlink Channel 77 5.4 The Wireless Downlink Channel 91 5.5 Numerical Evaluation and Discussion 92
• 6 Subcarrier Multiplexed ROF Uplink 97 6.1 The Wireless Uplink Channel 97 6.2 The ROF Uplink Channel 99 6.3 Signals to Distortion, Interference and Noise Ratios 111 6.4 Numerical Evaluations and Discussion 113 6.5 Summary 115
• 7 Externally Modulated ROF Links 121 7.1 Mach-Zehnder Modulator 121 7.2 Electro-Absorption Modulator (EAM) 125 7.3 Reflective Semiconductor Optical Amplifier (RSOA) 128 7.4 Optimization of the MZI Bias Voltage 128 7.5 Subcarrier Multiplexed Signals in MZI 135
• 8 DSP Modeling of the ROF Link Nonlinearity 141 8.1 Introduction 141 8.2 Various Attempts to Reduce NLD 142 8.3 DSP Approaches 144 8.4 Basics of DSP for Nonlinear Systems 146 8.5 Baseband Representation of a Passband Complex Nonlinear System 148 8.6 Nonlinear Modeling of Fi-Wi Link 149
• 9 Adaptive Compensation for the ROF Link Nonlinearity 151 9.1 Adaptive Modeling of the ROF Link 151 9.2 Asymmetric Compensation 159 9.3 Summary 169
• 10 Joint Estimation of the Fiber Wireless Channel 171 10.1 The Wiener and Hammerstein System Model for Fi-Wi Links 171 10.2 Fiber-Wireless Channel Estimation 172 10.3 Case Study 180 10.4 Summary 182
• 11 Joint Equalization for the Fiber Wireless Channel 185 11.1 Equalization of the Wireless Channel 185 11.2 Optimization of Polynomial Filter Parameters 189 11.3 Optimization of Linear Filter Parameters 191 11.4 Summary 196
• 12 Performance Evaluation of the Hammerstein type DFE 197 12.1 Evaluation of the Polynomial Filter 197 12.2 Evaluation of Linear Filters 203 12.3 Case Study 204 12.4 Summary 212
• 13 Multiuser CDMA Fi-Wi Systems 213 13.1 Multiuser Fi-Wi Uplink Model 213 13.2 Correlation Relationships 215 13.3 ROF Channel Estimation 220 13.4 Case Study 221 13.5 Fiber-Wireless Uplink Equalization 224 13.6 Equalization: Simulation Results and Discussion 225 13.7 Summary 227
• 14 Fi-Wi for 4G, 5G and OFDM Wireless Networks 229 14.1 Brief History of Cellular Communication Systems 230 14.2 Wireless Access Schemes 232 14.3 Peak to Average Power Ratio Reduction Techniques 235 14.4 OFDM ROF System Improvement 237 14.5 Combinations of OFDMA and CDMA 241 14.6 Summary 242 References 243 References 248 List of Abbreviations 249.
• (source: Nielsen Book Data)

A comprehensive evaluation of Fi-Wi, enabling readers to design links using channel estimation and equalization algorithms This book provides a detailed study of radio over fiber (ROF) based wireless communication systems, otherwise called fiber wireless (Fi-Wi) systems. This is an emerging hot topic where the abundant bandwidth of optical fiber is directly combined with the flexibility and mobility of wireless networks to provide broadband connectivity. Its application is increasing because of the growing demand for broadband wireless services. In such a system the transmission of the radio signals over a fiber is an important task. This book provides substantial material on the radio over fiber part of the complete fiber-wireless system, including new research results on the compensation methods. The early chapters provide fundamental knowledge required for a non-expert engineering professional as well as senior/graduate level students to learn this topic from scratch. The latter part of the book covers advanced topics useful for researchers and senior students. Therefore, this book provides a comprehensive understanding of the system for readers who will gain enough knowledge to design Fi-Wi links of their own by learning how to develop Fi-Wi channel estimation and equalization algorithms. This concept is completely novel in current literature and has been patented by the author. Readers are expected to have a basic understanding of fiber optics and wireless communications to easily follow the book and to appreciate the concepts. Basics of the Fi-Wi system and signal processing approaches are clearly explained. It covers a multidisciplinary topic and acts as a bridge between optical and wireless communication domains. In the increasingly demanding telecommunications profession, engineers are expected to have knowledge in both optical and wireless communications and expected design combined/hybrid systems. Hence, the book is written in such a way that both optical and wireless professionals will be able to easily understand and perceive the concepts. * follows a logical process from basic principles through to advanced topics, providing a wide range of interest for researchers, practicing engineers, students, and those required to build such networks * explains detailed system design concepts and the limitations and advantages in each configuration, appealing to design engineers, and largely avoiding system specifics * demonstrates the author s exclusive patent, showing how to develop baseband signal processing algorithms for Fi-Wi systems, which is a key requirement for the successful deployment of Fi-Wi systems * contains tables, numerical examples and case studies, facilitating a good quantitative understanding of the topic.
(source: Nielsen Book Data)

• Foreword ix Preface xi Acknowledgements xv
• 1 Introduction 1 1.1 Motivation 1 1.2 Basic Fi-Wi System Architecture 10 1.3 Major Issues 12 1.4 Other Fiber Feeder Approaches 13 1.5 Book Outline 14
• 2 Important Fi-Wi Link Elements 17 2.1 RF-Optical Modulation 17 2.2 The Fiber Channel 29 2.3 Optical Receiver 36 2.4 Brief Review of Baseband-RF Modulation Techniques 40 2.5 The Wireless Channel 42
• 3 Power Link Budget and Cumulating SNR 49 3.1 Introduction 49 3.2 System Description 50 3.3 Optical Signal to Noise Ratio (OSNR) 51 3.4 Cumulative Signal to Noise Ratio (cSNR) 57 3.5 RAP Design Considerations 58 3.6 Summary 62
• 4 An Improved Expression for Relative Intensity Noise 63 4.1 Basics 63 4.2 The Fundamental Noise Processes in Radio over Fiber Links 64 4.3 The Signal to Noise Ratio 69 4.4 Numerical Evaluation and Discussion 71 4.5 Summary 72
• 5 Subcarrier Multiplexed ROF Downlink 75 5.1 Introduction 75 5.2 Background 75 5.3 The ROF Downlink Channel 77 5.4 The Wireless Downlink Channel 91 5.5 Numerical Evaluation and Discussion 92
• 6 Subcarrier Multiplexed ROF Uplink 97 6.1 The Wireless Uplink Channel 97 6.2 The ROF Uplink Channel 99 6.3 Signals to Distortion, Interference and Noise Ratios 111 6.4 Numerical Evaluations and Discussion 113 6.5 Summary 115
• 7 Externally Modulated ROF Links 121 7.1 Mach-Zehnder Modulator 121 7.2 Electro-Absorption Modulator (EAM) 125 7.3 Reflective Semiconductor Optical Amplifier (RSOA) 128 7.4 Optimization of the MZI Bias Voltage 128 7.5 Subcarrier Multiplexed Signals in MZI 135
• 8 DSP Modeling of the ROF Link Nonlinearity 141 8.1 Introduction 141 8.2 Various Attempts to Reduce NLD 142 8.3 DSP Approaches 144 8.4 Basics of DSP for Nonlinear Systems 146 8.5 Baseband Representation of a Passband Complex Nonlinear System 148 8.6 Nonlinear Modeling of Fi-Wi Link 149
• 9 Adaptive Compensation for the ROF Link Nonlinearity 151 9.1 Adaptive Modeling of the ROF Link 151 9.2 Asymmetric Compensation 159 9.3 Summary 169
• 10 Joint Estimation of the Fiber Wireless Channel 171 10.1 The Wiener and Hammerstein System Model for Fi-Wi Links 171 10.2 Fiber-Wireless Channel Estimation 172 10.3 Case Study 180 10.4 Summary 182
• 11 Joint Equalization for the Fiber Wireless Channel 185 11.1 Equalization of the Wireless Channel 185 11.2 Optimization of Polynomial Filter Parameters 189 11.3 Optimization of Linear Filter Parameters 191 11.4 Summary 196
• 12 Performance Evaluation of the Hammerstein type DFE 197 12.1 Evaluation of the Polynomial Filter 197 12.2 Evaluation of Linear Filters 203 12.3 Case Study 204 12.4 Summary 212
• 13 Multiuser CDMA Fi-Wi Systems 213 13.1 Multiuser Fi-Wi Uplink Model 213 13.2 Correlation Relationships 215 13.3 ROF Channel Estimation 220 13.4 Case Study 221 13.5 Fiber-Wireless Uplink Equalization 224 13.6 Equalization: Simulation Results and Discussion 225 13.7 Summary 227
• 14 Fi-Wi for 4G, 5G and OFDM Wireless Networks 229 14.1 Brief History of Cellular Communication Systems 230 14.2 Wireless Access Schemes 232 14.3 Peak to Average Power Ratio Reduction Techniques 235 14.4 OFDM ROF System Improvement 237 14.5 Combinations of OFDMA and CDMA 241 14.6 Summary 242 References 243 References 248 List of Abbreviations 249.
• (source: Nielsen Book Data)

A comprehensive evaluation of Fi-Wi, enabling readers to design links using channel estimation and equalization algorithms This book provides a detailed study of radio over fiber (ROF) based wireless communication systems, otherwise called fiber wireless (Fi-Wi) systems. This is an emerging hot topic where the abundant bandwidth of optical fiber is directly combined with the flexibility and mobility of wireless networks to provide broadband connectivity. Its application is increasing because of the growing demand for broadband wireless services. In such a system the transmission of the radio signals over a fiber is an important task. This book provides substantial material on the radio over fiber part of the complete fiber-wireless system, including new research results on the compensation methods. The early chapters provide fundamental knowledge required for a non-expert engineering professional as well as senior/graduate level students to learn this topic from scratch. The latter part of the book covers advanced topics useful for researchers and senior students. Therefore, this book provides a comprehensive understanding of the system for readers who will gain enough knowledge to design Fi-Wi links of their own by learning how to develop Fi-Wi channel estimation and equalization algorithms. This concept is completely novel in current literature and has been patented by the author. Readers are expected to have a basic understanding of fiber optics and wireless communications to easily follow the book and to appreciate the concepts. Basics of the Fi-Wi system and signal processing approaches are clearly explained. It covers a multidisciplinary topic and acts as a bridge between optical and wireless communication domains. In the increasingly demanding telecommunications profession, engineers are expected to have knowledge in both optical and wireless communications and expected design combined/hybrid systems. Hence, the book is written in such a way that both optical and wireless professionals will be able to easily understand and perceive the concepts. * follows a logical process from basic principles through to advanced topics, providing a wide range of interest for researchers, practicing engineers, students, and those required to build such networks * explains detailed system design concepts and the limitations and advantages in each configuration, appealing to design engineers, and largely avoiding system specifics * demonstrates the author s exclusive patent, showing how to develop baseband signal processing algorithms for Fi-Wi systems, which is a key requirement for the successful deployment of Fi-Wi systems * contains tables, numerical examples and case studies, facilitating a good quantitative understanding of the topic.
(source: Nielsen Book Data)

• Chapter 1. Dimensionality Reduction based Component Dicriminant Factor Implication for Mushroom Edibility Classification using Machine Learning.- Chapter 2. Flip-Flop based Approach for Logic Encryption Technique.- Chapter 3. Analysis and Implementation of Less Delay and Low Area DT Multiplier.- Chapter 4. An exploration on Feature Extraction and Classification Techniques for Dysphonic Speech Disorder in Parkinson's Disease.- Chapter 5. Intelligent Recommender System based on Deep Learning for Recognition of COVID-19 from Lungs Radiograms.- Chapter 6. Generation of Structured Query Language from Natural Language using Recurrent Neural Networks.- Chapter 7. Machine Learning and Deep Learning Approaches for Intrusion Detection: A Comparative Study.- Chapter 8. Improving Text Classifiers through Controlled Text Generation using Transformer Wasserstein Autoencoder.- Chapter 9. Topological analysis of Cube based and Linearly Extensible Networks using MATLAB.- Chapter 10. Implementation of Rule based Testing for Dgital Circuits using Inductive Logic Programming
• Chapter 11. Design of a High Speed Binary Counter using a Stacking Circuit.- Chapter 12. Feature Level Fusion of Multimodal Biometric for Individual Identification by Training a Deep Neural Network.- Chapter 13. Design of Multistage Counters using Linear Feedback Shift Register.- Chapter 14. Machine Learning based and Reconfigurable Architecture with a Countermeasure for Side Channel Attacks.- Chapter 15. Autonomous Scheduling and Distributed Graph Routing Algorithm (ASDGRA) for Hybrid Wireless Sensor Networks. .
• (source: Nielsen Book Data)

This book gathers selected papers presented at the Inventive Communication and Computational Technologies conference (ICICCT 2021), held on 25-26 June 2021 at Gnanamani College of Technology, Tamil Nadu, India. The book covers the topics such as Internet of things, social networks, mobile communications, big data analytics, bio-inspired computing, and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area. .
(source: Nielsen Book Data)

• Chapter 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.
• (source: Nielsen Book Data)

This 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.
(source: Nielsen Book Data)

• 1. Architecture
• 2. MapReduce
• 3. Security and Privacy
• 4. Services and Applications
• 5. Virtualization.

The book presents papers from the 7th International Conference on Big Data and Cloud Computing Challenges (ICBCC 2022). The book includes high-quality, original research on various aspects of big data and cloud computing, offering perspectives from the industrial and research communities on addressing the current challenges in the field. This book discusses key issues and highlights recent advances in a single broad topic applicable to different sub-fields by exploring various multidisciplinary technologies. This book supports the transfer of vital knowledge to next-generation researchers, students, and practitioners in academia and industry

• Facial Image Denoising and Reconstruction.- One Method for RC5 Algorithm's Cryptographic Strength Improving.- Multiclass Classification of Firewall Log Files Using Shallow Neural Network for Network Security Applications.- On the Possibility of Evasion Attacks with Macro Malware.- IoT-Based Smart Crop Field Monitoring and Protection System from Heavy Rainfall Utilizing Raspberry Pi.
• (source: Nielsen Book Data)

This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2021), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during June 2021. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. The book presents innovative work by leading academics, researchers, and experts from industry.
(source: Nielsen Book Data)

• Maximizing Network Lifetime in WSN using Ant Colony Algorithm.- Deep Ensemble Approach for Question Answer System.- Information Sharing Over Social Media Analysis Using Centrality Measure.- Indoor Mobile Robot Navigation using Deep Convolutional Neural Network.- Etaheuristic Enabled Shortest Path Selection for IoT based Wireless Sensor Network.- Generation of Random Binary Sequence using Adaptive Row-Column Approach and Synthetic Colour Image.- A Study of Mobile Adhoc Network and its Performance Optimizaiton Algorithm.- Sentimental Analysis on Twitter Data of Political Domain.- Big Social Media Analytics: Applications and Challenges.- Intelligent Computing Application for Cloud Enhancing Health Care Services.- Corona Virus Detection and Classification using X-Rays and CT Scans with Machine Learning Techniques.- Security Issues and Solutions in E-Health and Telemedicine.- Accident Alert System with False Alarm Switch.- A Deep Learning Approach to Detect Lumpy Skin Disease in Cows.- Algorithmic Trading using Machine Learning and Neural Network.- Analysis on Intrusion Detection System using Machine Learning Techniques.- Content Related Feature Analysis for Fake Online Consumer Review Detection.- Approaches in Assistive Technology: A Survey on Existing Assistive Wearable Technology for The Visually-Impaired.- Filter Bank Multicarrier Systems using Gaussian Pulse based Filter Design for 5G Technologies.- Data Streaming Architecture for Visualizing Cryptocurrency Temporal Data.- Integration of IoT and SDN to Mitigate DDoS with RYU Controller.- A Framework for monitoring Patient's Vital Signs with Internet-of-Things and Blockchain Technology.- Network Intrusion Detection using Cross Bagging based Stacking Model.- Performance Study of Free Space Optical System under Varied Atmospheric Conditions.- Review on Energy Efficient Routing Protocols in WSN.Comparative Analysis of Traffic and Congestion in Software Defined Networks.- Automatic Vehicle Service Monitoring and Tracking System using IoT and Machine Learning.
• (source: Nielsen Book Data)

This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2020), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during 15-16 December 2020. 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.
(source: Nielsen Book Data)

• A Comparitive Study of Employee Attrition Analysis using Machine Learning and Deep Learning Techniques.- Efficient RNS Realization of High Speed Arithmetic Multiplier with Respect to Cryptographic Computation.- An Integrated Terrestrial - Satellite Cellular 5G Network Routing Protocol Using Reinforcement Learning Techniques.- Direct Trust-based GPSR Protocol (DT-GPSR) in VANET.- Combating Challenges in Healthcare using Blockchain.- HIDS
• C2: Host Based Intrusion Detection System in Cloud Computing.- The Impact of Online Reviews on Download Numbers of Mobile Apps.- Learning System During the Covid-19 in a University.- The Adoption of using the Zoom Application as a Learning Tool to Increase Neuro-Cognitive for Public High School in Jakarta.- Context Aware Voice Recognition System for Car Climate and Infotainment Control.- Study of Identification of Breast Tumor Through DL Technique.- Methods for Assessing Information Security Incidents in the Enterprise and Making Decisions.- Data Analytics for Healthcare Institutions: A Data Warehouse Model Proposal.- The Role of Existing Technology Text to Speech in the Deaf Disabled Communities due to Brain Inflammation.- Performance Analysis of Hybrid Deep Learning Approach for Human Actions Recognition.
• (source: Nielsen Book Data)

This book gathers selected papers presented at the Inventive Communication and Computational Technologies Conference (ICICCT 2022), held on May 12-13, 2022, at Gnanamani College of Technology, Tamil Nadu, India. The book covers the topics such as Internet of Things, social networks, mobile communications, big data analytics, bio-inspired computing, and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.
(source: Nielsen Book Data)

• Smart Question Paper Evaluation: Automated Approach Using the Jaccard Similarity.- Smart Patterns: Searching a Pattern in the Unknown Environment Using Hybrid Framework.- Image Processing Techniques for PCB Board Fault Analysis with Object Extraction and Measurements.- Gamification of Knowledge Management System: A Framework to Incentivize Knowledge Sharing for the Software Industry.- Privacy Attributes Aware Framework in Information Disclosure Models for Public During Pandemic.
• (source: Nielsen Book Data)

This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2022), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during April 21-22, 2022. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. This book presents innovative work by leading academics, researchers, and experts from industry.
(source: Nielsen Book Data)

• Improved Grey wolf Optimization based Feature selection and classification using CNN for Diabetic Retinopathy detection.- Feature Selection Using Modified Sine Cosine Algorithm with COVID-19 Dataset.- Blood Cell Image Denoising based on Tunicate Rat Swarm Optimization with Median Filter.- A Hybrid Approach for Deep Noise Suppression using Deep Neural Networks.- Human Health Care Systems Analysis for Cloud Data Structure of Biometric System using ECG Analysis.- Data mining for Solving Medical Diagnostics Problems.- Classification of Diabetic Retinopathy using Ensemble of Machine Learning Classifiers with IDRID Dataset.- Epileptic Seizure Prediction Using Geometrical Features Extracted From HRV Signal.- An Extensive Survey on Outlier Prediction using Mining and Learning Approaches.- Performance Comparison of Data Security Strategies in Fog Computing.- Design and Simulation of a Direct-PSK Based Telecommand Receiver for Small Satellite
• Analysis of Data Aggregation and Clustering Protocol in Wireless Sensor Networks using Machine Learning.- DetecSec : A Framework to Detect and Mitigate ARP Cache Poisoning Attacks.- PAPR Reduction in SDR based OFDM System.
• (source: Nielsen Book Data)

This book mainly reflects the recent research works in evolutionary computation technologies and mobile sustainable networks with a specific focus on computational intelligence and communication technologies that widely ranges from theoretical foundations to practical applications in enhancing the sustainability of mobile networks. Today, network sustainability has become a significant research domain in both academia and industries present across the globe. Also, the network sustainability paradigm has generated a solution for existing optimization challenges in mobile communication networks. Recently, the research advances in evolutionary computing technologies including swarm intelligence algorithms and other evolutionary algorithm paradigms are considered as the widely accepted descriptors for mobile sustainable networks virtualization, optimization, and automation. To deal with the emerging impacts on mobile communication networks, this book discusses about the state-of-the research works on developing a sustainable design and their implementation in mobile networks. With the advent of evolutionary computation algorithms, this book contributes varied research chapters to develop a new perspective on mobile sustainable networks.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 6th International Conference on Computer, Communication, and Signal Processing, ICCSP 2022, held in Chennai, India, in February 2022.* The 21 full and 2 short papers presented in this volume were carefully reviewed and selected from 111 submissions. The papers are categorized into topical sub-headings: artificial intelligence and machine learning; Cyber security; and internet of things. *The conference was held as a virtual event due to the COVID-19 pandemic. .
(source: Nielsen Book Data)

• A Feature Extraction based Ensemble Data Clustering for Healthcare Applications.- Analysis of Axial Triradius to detect Congenital Heart Diseases.- Forecasting Flash Floods with Optimized Adaptive Neuro-Fuzzy Inference System and Internet of Things.- A Survey on HTTP Flooding - a Distributed Denial of Service Attack.- Tracking and Monitoring of Soldiers using IoT and GPS.
• (source: Nielsen Book Data)

The book features original papers from International Conference on Pervasive Computing and Social Networking (ICPCSN 2022), organized by NSIT, Salem, India during 3 - 4 March 2022. It covers research works on conceptual, constructive, empirical, theoretical and practical implementations of pervasive computing and social networking methods for developing more novel ideas and innovations in the growing field of information and communication technologies.
(source: Nielsen Book Data)

• Algebraic Modelling of a Generic Fog Scenario for Moving IoT Devices.- A Novel Approach to Preserve DRM for Content Distribution over P2P Networks.- Secure Multimodal Biometric Recognition in Principal Component Subspace.- EEG Based Emotion Recognition and Its Interface with Augmented Reality.- Profile Verification Using Blockchain.- Distributed Denial of Service (DDoS) Attacks Detection: A Machine Learning Approach.- Intrusion Detection Using Deep Neural Network with AntiRectifier Layer.- CloudSim Exploration: A Knowledge Framework for Cloud Computing Researchers.- A Comprehensive Survey on Big Data Technology Based Cybersecurity Analytics Systems.- P2P Bot Detection Based on Host Behavior and Big Data Technology.- Serverless Deployment of a Voice-Bot for Visually Impaired.- Interference Management Technique for LTE, Wi-Fi Coexistence Based on CSI at the Transmitter.
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This book constitutes thoroughly refereed post-conference proceedings of the International Applied Soft Computing and Communication Networks (ACN 2020) held in VIT, Chennai, India, during October 14-17, 2020. The research papers presented were carefully reviewed and selected from several initial submissions. The book is directed to the researchers and scientists engaged in various fields of intelligent systems.
(source: Nielsen Book Data)