Vehicular traffic congestion and accidents remain universal issues in today's world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular ad-hoc networks have been introduced. Current developments in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless communication capabilities and high-performance processing tools. Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks is a pivotal reference source that provides vital research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc networks and presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT practitioners, academicians, and students seeking current research on cloud computing models in vehicular networks.

As technology continues to expand and develop, the internet of things (IoT) is playing a progressive role in the infrastructure of electronics. The increasing amount of IoT devices, however, has led to the emergence of significant privacy and security challenges. Security and Privacy Issues in Sensor Networks and IoT is a collection of innovative research on the methods and applications of protection disputes in the internet of things and other computing structures. While highlighting topics that include cyber defense, digital forensics, and intrusion detection, this book is ideally designed for security analysts, IT specialists, software developers, computer engineers, industry professionals, academicians, students, and researchers seeking current research on defense concerns in cyber physical systems.

The complex world of online piracy and peer-to-peer file sharing is skillfully condensed into an easy-to-understand guide that provides insight into the criminal justice approach to illegal file sharing, while offering guidance to parents and students who have concerns about potential legal action in response to file-sharing activities. While the actual impact of digital piracy is nearly impossible to precisely calculate, the threat of financial damage from illegal peer-to-peer (P2P) file sharing to the world's highest-grossing entertainment firms (and even entire industries!) has garnered attention from government, industry, and academic leaders and criminal justice professionals. Oftentimes, those providing access to computers and file sharing capabilities-parents, schools, libraries-don't know about or understand these activities and, therefore, put themselves and their families at risk for criminal and civil prosecution. This work describes the technological, legal, social, and ethical facets of illegal peer-to-peer file sharing. Geared toward parents, teachers, librarians, students, and any other computer user engaged in file sharing, this book will help readers to understand all forms of traditional and digital copyright violations of protected music, movies, and software. To date over 18,000 P2P users have been sued by the Recording Industry Association of America (RIAA). Most of these users have been college students and parents of high-school students. While word of these law suits are spreading, and many parents fear that their children may be using a family computer to illegally download and share copyrighted works, few supervising adults have the technical knowledge needed to determine whether and to what extent pirating may be occurring via a computer and Internet connection they are legally responsible for. Additionally, while P2P networks are filled with millions of users with billions of copyrighted files, few users understand the ways in which they are illegally using computers and other mobile electronic devices to download protected content. While describing both technical and social issues, this book primarily focuses on the social aspects of illegal file sharing, and provides technical concepts at a general level. Fisk skillfully condenses the complex nature of file sharing systems into an easy-to-understand guide, provides insight into the criminal justice approach to illegal file sharing, and offers guidance to parents and students who have concerns about potential legal action in response to file sharing activities.

This book presents and discusses innovative ideas in the design, modelling, implementation, and optimization of hardware platforms for neural networks. The rapid growth of server, desktop, and embedded applications based on deep learning has brought about a renaissance in interest in neural networks, with applications including image and speech processing, data analytics, robotics, healthcare monitoring, and IoT solutions. Efficient implementation of neural networks to support complex deep learning-based applications is a complex challenge for embedded and mobile computing platforms with limited computational/storage resources and a tight power budget. Even for cloud-scale systems it is critical to select the right hardware configuration based on the neural network complexity and system constraints in order to increase power- and performance-efficiency. Hardware Architectures for Deep Learning provides an overview of this new field, from principles to applications, for researchers, postgraduate students and engineers who work on learning-based services and hardware platforms.

This book explains the concepts, history, and implementation of IT infrastructures. Although many of books can be found on each individual infrastructure building block, this is the first book to describe all of them: datacenters, servers, networks, storage, operating systems, and end user devices. The building blocks described in this book provide functionality, but they also provide the non-functional attributes performance, availability, and security. These attributes are explained on a conceptual level in separate chapters, and specific in the chapters about each individual building block. Whether you need an introduction to infrastructure technologies, a refresher course, or a study guide for a computer science class, you will find that the presented building blocks and concepts provide a solid foundation for understanding the complexity of today's IT infrastructures. This book can be used as part of IT architecture courses based on the IS 2010.4 curriculum.

With near-universal internet access and ever-advancing electronic devices, the ability to facilitate interactions between various hardware and software provides endless possibilities. Though internet of things (IoT) technology is becoming more popular among individual users and companies, more potential applications of this technology are being sought every day. There is a need for studies and reviews that discuss the methodologies, concepts, and possible problems of a technology that requires little or no human interaction between systems. The Handbook of Research on the Internet of Things Applications in Robotics and Automation is a pivotal reference source on the methods and uses of advancing IoT technology. While highlighting topics including traffic information systems, home security, and automatic parking, this book is ideally designed for network analysts, telecommunication system designers, engineers, academicians, technology specialists, practitioners, researchers, students, and software developers seeking current research on the trends and functions of this life-changing technology.

User opinions about service experiences have been extensively acknowledged to play a key role in influencing the consumption decisions of other customers. The widespread adoption of internet technologies has amplified enormously the volume and the potential impact of such customer-generated content in the form of electronic word-of-mouth (eWOM). Exploring the Power of Electronic Word-of-Mouth in the Services Industry is an essential research book that explores the importance of consumer perception and the influence of word-of-mouth in the digital world. Featuring a range of topics such as data mining, online engagement, and social media, this book is ideal for academicians, researchers, IT developers, marketers, managers, media specialists, and professionals.

Decision-making is a frequent problem in today's financial, business, and industrial world. Thus, fuzzy expert systems are increasingly being used to solve decision-making problems by attempting to solve a part or whole of a practical problem. These expert systems have proven that they can solve problems in various domains where human expertise is required, including the field of agriculture. Fuzzy Expert Systems and Applications in Agricultural Diagnosis is a crucial source that examines the use of fuzzy expert systems for prediction and problem solving in the agricultural industry. Featuring research on topics such as nutrition management, sustainable agriculture, and defuzzification, this book is ideally designed for farmers, researchers, scientists, academics, students, policymakers, and development practitioners seeking the latest research in technological tools that support crop disease diagnosis.

Interdisciplinary and multidisciplinary research is slowly yet steadily revolutionizing traditional education. However, multidisciplinary research can and will also improve the extent to which a country can protect its critical and vital assets. Applying Methods of Scientific Inquiry Into Intelligence, Security, and Counterterrorism is an essential scholarly publication that provides personnel directly working in the fields of intelligence, law enforcement, and science with the opportunity to understand the multidisciplinary nature of intelligence and science in order to improve current intelligence activities and contribute to the protection of the nation. Each chapter of the book discusses various components of science that should be applied to the intelligence arena. Featuring coverage on a range of topics including cybersecurity, economics, and political strategy, this book is ideal for law enforcement, intelligence and security practitioners, students, educators, and researchers.

In today's digital world, the huge amount of data being generated is unstructured, messy, and chaotic in nature. Dealing with such data, and attempting to unfold the meaningful information, can be a challenging task. Feature engineering is a process to transform such data into a suitable form that better assists with interpretation and visualization. Through this method, the transformed data is more transparent to the machine learning models, which in turn causes better prediction and analysis of results. Data science is crucial for the data scientist to assess the trade-offs of their decisions regarding the effectiveness of the machine learning model implemented. Investigating the demand in this area today and in the future is a necessity. The Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science provides an in-depth analysis on both the theoretical and the latest empirical research findings on how features can be extracted and transformed from raw data. The chapters will introduce feature engineering and the recent concepts, methods, and applications with the use of various data types, as well as examine the latest machine learning applications on the data. While highlighting topics such as detection, tracking, selection techniques, and prediction models using data science, this book is ideally intended for research scholars, big data scientists, project developers, data analysts, and computer scientists along with practitioners, researchers, academicians, and students interested in feature engineering and its impact on data.

The growing presence of social media and computer use has caused significant changes to community engagement. With the ubiquity of these technologies, there is increasing engagement in social and political policies and changes. Online Communities as Agents of Change and Social Movements is a pivotal reference source for the latest research on relevant theoretical and practical frameworks regarding online communities and social media as agents of social and political change. Featuring extensive coverage on relevant areas such as computer use, online engagement, and collective action, this publication is an ideal resource for researchers, academics, practitioners, and students in the fields of social psychology, social network analysis, media studies, information systems, and political science.

As the internet and its applications grow more sophisticated and widespread, so too do the strategies of modern terrorist groups. The existence of the dark web adds to the online arsenal of groups using digital networks and sites to promulgate ideology or recruit supporters. It is necessary to understand how terrorist cells are using and adapting online tools in order to counteract their efforts. Utilization of New Technologies in Global Terror: Emerging Research and Opportunities is an informative resource that explores new developments in technological advancements and the progression of terror organizations while also examining non-government activist organizations and their new role in protecting internet freedom and combating cyberterrorism. Featuring relevant topics such as social media, cyber threats, and counterterrorism, this publication will benefit government officials, political scientists, policymakers, researchers, academicians, and graduate students interested in political science, mass communication, and cyberwarfare.