%{search_type} search results

• Introduction.- Data Analysis and Mathematical Modeling for Covid-19 Pandemic.- Influence of Covid-19 on Quality of Work Life in Real Estate Sector.- Influence of Covid-19 on Quality of Work Life in Education Sector.- Influence of Covid-19 on Quality of Work Life in Information Technology/ Software Industries.- Influence of Covid-19 on Quality of Work Life in Agriculture Sector. .
• (source: Nielsen Book Data)

This book is focused on the impact of the COVID-19 pandemic on different sectors, i.e., education, real estate, health, and agriculture. The lockdown has been announced to control the spread of COVID-19 infections, however people/industries/organizations were not ready for lockdown and it has greatly affected their growth. The front workers in the healthcare sector suffered a lot as major responsibilities they needed to carry on. The education sector is also hampered due to the pandemic as schools, colleges were closed and teaching, examinations were carried out on online platforms. These platforms were new to teachers as well as students. The real estate sector faced tremendous loss in this pandemic as people were scared and no one ready to invest their money in such an uncertain time. The agriculture filed is also suffered as raw materials required for agriculture were not available readily due to pandemic. This book presents a survey that is conducted to understand the impact of COVID-19 on the quality of work-life in various sectors. The survey is focused majorly on four sectors, i.e. education, healthcare, real estate and agriculture. Data analysis is done based on responses of survey and mathematical modeling is provided for each case study.
(source: Nielsen Book Data)

• Introduction.- IoT Overview.- Emerging Trends in IoT.- IoT Use Cases.- Energy and Utilities.- Context Management in IoT.- Context and Context Management.- Context-aware Architecture.- Augmented Reality and IoT.- Augmented Reality and IoT design Issues.- Augmented Reality and IoT enabled Architecture.- Conclusions.
• (source: Nielsen Book Data)

This book discusses the use of converged technology, a rapidly growing area that enhancements smart devices, communication, Internet of things (IoT), and augmented reality (AR). The book also explores the need for convergence of IoT and AR for various purposes, like personalized services, context awareness, and bridging the gap between the physical and digital world. Furthermore, it examines the implementation of IoT and AR in use cases to define pathways that allow application developers to design modern solutions to satisfy requirements like scalability, abstraction and security. Featuring an introduction, and covering sensing techniques, and effective architecture in AR-based IoT real-time use cases, the book also addresses the issues and challenges in designing standard architecture and middleware to support diverse applications. Given its scope, it is a valuable resource for teachers and students in engineering, as well as researchers, developers, and users working in multi-disciplinary areas.
(source: Nielsen Book Data)

• Introduction to Data Science.- Data Collection and Preparation.- Data Analysis and Machine learning Algorithms.- Data Visualization Tools and Data Modelling.- Data Science in Information, Communication and Technology.- Data Science in Civil & Mechanical Engineering.- Data Science in Clinical Decision System.- Conclusions.
• (source: Nielsen Book Data)

This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.
(source: Nielsen Book Data)

• Intro
• Preface
• Acknowledgements
• Contents
• About the Authors
• 1 Introduction to Underwater Wireless Sensor Networks
• 1.1 Basics of Underwater Wireless Sensor Networks
• 1.1.1 Underwater Wireless Sensor Network (UWSN)
• 1.1.2 History of UWSN
• 1.1.3 Difference Between TWSN and UWSN
• 1.2 UWSN: A Need of Today's World
• 1.3 Components of UWSN
• 1.3.1 Acoustic Modem
• 1.3.2 Optical Sensors
• 1.3.3 Autonomous Underwater Vehicle (AUV)
• 1.3.4 Remotely Operated Underwater Vehicle (ROUV/ROV)
• 1.3.5 Buoys
• 1.3.6 Transducers
• 1.3.7 On-Shore Station

• 1.4 Architectural Models in UWSN
• 1.4.1 One-Dimensional UWSN Architecture (1D-UWSN)
• 1.4.2 Two-Dimensional UWSN Architecture (2D-UWSN)
• 1.4.3 Three-Dimensional UWSN Architecture (3D-UWSN)
• 1.4.4 Four-Dimensional UWSN Architecture (4D-UWSN)
• References
• 2 Communication Mediums in UWSN
• 2.1 Wired Underwater Sensor Network (W-USN)
• 2.2 Underwater Wireless Sensor Network (UWSN)
• 2.3 Types of Wireless Communication Mediums in UWSN
• 2.3.1 Radio-Frequency Communication
• 2.3.2 Acoustic Communication
• 2.3.3 Optical Communication
• 2.4 Challenges in UWSN
• 2.4.1 Propagation Delay

• 2.4.2 Limited Bandwidth
• 2.4.3 Noise
• 2.4.4 Doppler Spread
• 2.4.5 Path Loss
• 2.4.6 Multipath Effect
• 2.4.7 Properties of Water
• 2.4.8 Energy Constraints
• 2.5 Comparative Study of UWSN Communication Mediums
• 2.6 Future of Underwater Communication Mediums
• References
• 3 Protocol Layers
• 3.1 Physical Layer
• 3.2 Data-Link Layer
• 3.3 Network Layer
• 3.4 Transport Layer
• References
• 4 Threats and Attacks in UWSN
• 4.1 Information Security and UWSN
• 4.2 Threats in UWSN
• 4.3 Attack Modelling
• 4.3.1 Attacks on Protocol Layers

• 4.3.2 Attacks Based on Capability of Attacker
• 4.3.3 Attacks on Information in Transit
• 4.4 Cross-Layer Approach in UWSN
• 4.5 Attack-Resistant Strategies for UWSN
• References
• 5 Applications of UWSN
• 5.1 Surveillance Applications
• 5.1.1 Survelling Water Territory of Country via UWSN
• 5.1.2 Submarine Target Localization
• 5.1.3 European Project UAN
• 5.1.4 Seaweb
• 5.2 Environment Monitoring
• 5.2.1 Water Quality Monitoring Systems
• 5.2.2 Tsunami Monitoring Systems
• 5.2.3 Aquatic Monitoring Systems
• 5.2.4 Oil Spill Leakage Detection
• 5.3 Microsoft Project Natick

• 5.4 Deep Sea Mining
• References
• 6 Conclusion
• 6.1 Summary
• 6.2 Open Research Issues
• 6.3 Future of UWSN

This book covers all small details about Underwater Sensor Networks (UWSN). Researchers can use this book as a prerequisite before starting any research on underwater networks or underwater applications. This book covers the introduction, challenges, different architectural models for UWSN, various attacks on UWSN, underwater applications, and networking layers. The target audience includes professors and students in engineering, and researchers and engineers working on marine applications. In academic level, the book is helpful for students having Networking and Information Security as elective subject and doing projects in Wireless Networks. It is also helpful for spostgraduates and Ph.D. researchers to learn basics of Underwater Sensor Networks.
(source: Nielsen Book Data)

• Part I. Threats and Issues in Ubiquitous Computing
• Introduction
• Taxonomy of threats to ubiquitous computing
• Cyber Crime and Their Restriction Through Laws and Techniques for Protecting Security Issues and Privacy Threats
• Recent challenges in IoT
• Data Acquisition and Knowledge Management in IoT: Security Issues, Challenges, and Road Map Ahead
• Part II. Security Measures and Frameworks
• OAuth-Based Authorization and Delegation in Smart Home for the Elderly Using Decentralized Identifiers and Verifiable Credentials
• Dynamic Access Control Solution for Cross-Tenancy in a Cloud Environment
• Distributed Access Control Scheme for Machine-to-Machine Communication in IoT Using Trust Factor
• Game Theory Approach for Trust Management in the Realm of IoT
• Ransomware Attack Detection and Prevention for Android Devices
• A Comparative Analysis of Machine Deep Learning Algorithms for Intrusion Detection in WSN
• Base for Trust Score Estimation for Device to Device Communication in Internet of Thing Using Fuzzy Approach and Machine Learning
• Systematic Review of Resource Allocation Methods Using Scheduling for M2M (Machine to Machine Communication) in IoT Network
• Part III. Social Aspects of Smart Ubiquitous Computing
• Sarcasm Detection in Online Social Network: Myths, Realities, and Issues
• Farmer-Assistive Chatbot in Indian Context Using Learning Techniques
• Correction to: A Comparative Analysis of Machine Enep Learning Algorithms for Intrusion Entection in WSN.

• Taxonomy of Threats to Ubiquitous Computing
• Cyber Crime and Their Restriction through Laws and Techniques for Protecting Security Issues and Privacy Threats
• Data Acquisition and Knowledge Management in IoT: Security Issues, Challenges and Road Map ahead
• Dynamic Access control Solution for Cross-tenancy in a Cloud Environment
• Game Theory Approach for Trust Management in the realm of IoT
• A Comparative Analysis of Machine and Deep Learning Algorithms for Intrusion Detection in WSN
• Sarcasm Detection in Online Social Network Myths, Realities and Issues
• Farmer assistive chatbot in Indian context using learning techniques.

This book extends the work from introduction of ubiquitous computing, to the Internet of things to security and to privacy aspects of ubiquitous computing. The uniqueness of this book is the combination of important fields like the Internet of things and ubiquitous computing. It assumes that the readers' goal is to achieve a complete understanding of IoT, smart computing, security issues, challenges and possible solutions. It is not oriented towards any specific use cases and security issues; privacy threats in ubiquitous computing problems are discussed across various domains. This book is motivating to address privacy threats in new inventions for a wide range of stakeholders like layman to educated users, villages to metros and national to global levels. This book contains numerous examples, case studies, technical descriptions, scenarios, procedures, algorithms and protocols. The main endeavour of this book is threat analysis and activity modelling of attacks in order to give an actual view of the ubiquitous computing applications. The unique approach will help readers for a better understanding.
(source: Nielsen Book Data)