Industrial internet of things (IIoT) is changing the face of industry by completely redefining the way stakeholders, enterprises, and machines connect and interact with each other in the industrial digital ecosystem. Smart and connected factories, in which all the machinery transmits real-time data, enable industrial data analytics for improving operational efficiency, productivity, and industrial processes, thus creating new business opportunities, asset utilization, and connected services. IIoT leads factories to step out of legacy environments and arcane processes towards open digital industrial ecosystems. Innovations in the Industrial Internet of Things (IIoT) and Smart Factory is a pivotal reference source that discusses the development of models and algorithms for predictive control of industrial operations and focuses on optimization of industrial operational efficiency, rationalization, automation, and maintenance. While highlighting topics such as artificial intelligence, cyber security, and data collection, this book is ideally designed for engineers, manufacturers, industrialists, managers, IT consultants, practitioners, students, researchers, and industrial industry professionals.

Continual advancements in web technology have highlighted the need for formatted systems that computers can utilize to easily read and sift through the hundreds of thousands of data points across the internet. Therefore, having the most relevant data in the least amount of time to optimize the productivity of users becomes a priority. Semantic Web Science and Real-World Applications provides emerging research exploring the theoretical and practical aspects of semantic web science and real-world applications within the area of big data. Featuring coverage on a broad range of topics such as artificial intelligence, social media monitoring, and microblogging recommendation systems, this book is ideally designed for IT consultants, academics, professionals, and researchers of web science seeking the current developments, requirements and standards, and technology spaces presented across academia and industries.

With the rise of mobile and wireless technologies, more sustainable networks are necessary to support such communications. These next generation networks can now be utilized to strengthen the growing era of the Internet of Things. Powering the Internet of Things With 5G Networks is a comprehensive reference source for the latest scholarly research on the progression and design of fifth generation networks and their role in supporting the Internet of Things. Including a range of perspectives on topics such as privacy and security, large scale monitoring, and scalable architectures, this book is ideally designed for technology developers, academics, researchers, and practitioners interested in the convergence of the Internet of Things and 5G networks. Topics Covered The many academic areas covered in this publication include, but are not limited to: Autonomous Computing Big Data Management Cyber Threats Disruptive technologies Large Scale Monitoring Privacy and security Scalable Architectures Wireless sensor networks

Edge computing and analytics are fascinating the whole world of computing. Industry and business are keenly embracing this sound concept to develop customer-centric solutions by enhancing their operations, offerings, and outputs. There is a bevy of advancements in this domain that came with the arrival of IoT devices. The seamless convergence of microservices and serverless computing creates vast opportunities. With the help of IoT devices and these other developments, there has become a deep interest in business automation and additional improvisations in edge computing. With the steady growth of edge devices and applications of IoT fog/edge computing and analytics, there are also distinct challenges and threats. Research has been keenly focused on identifying and understanding these issues and shortcomings to bring viable solution approaches and algorithms. Cases on Edge Computing and Analytics describes the latest innovations, improvements, and transformations happening with edge devices and computing. It addresses the key concerns of the edge computing paradigm, how they are processed, and the various technologies and tools empowering edge computing and analytics. While highlighting topics within edge computing such as the key drivers for implementation, computing capabilities, security considerations, and use-cases, this book is ideal for IT industry professionals and project managers, computer scientists, computer engineers, and practitioners, stakeholders, researchers, academicians, and students looking for research on the latest trends and transitions in edge computing.

The lead singer on Supercell's eponymous first album is Hatsune Miku-a Vocaloid character created by Crypton Future Media with voice synthesizers. A virtual superstar, over 100,000 songs, uploaded mostly by fans, are attributed to her. Supercell is a Japanese creator music group with the composer Ryo leading ten artists, who design album illustrations and make music videos. These videos are uploaded onto Niconico and other video-sharing sites. By the time Supercell was released in March 2009, the group's Vocaloid works were already well-known to Niconico users and fans. This book explores the Vocaloid and DTM (desktop music) phenomena through the lenses of media and fan studies, looking closely at online social media platforms, the new technology for composing, avid fans of the Vocaloid character, and these fans' performative practices. It provides a sense of how interactive new media and an empowered fan base combine to engage in the creation processes and enhance the circulation of DTM works. 33 1/3 Global, a series related to but independent from 33 1/3, takes the format of the original series of short, music-basedbooks and brings the focus to music throughout the world. With initial volumes focusing on Japanese and Brazilian music, the series will also include volumes on the popular music of Australia/Oceania, Europe, Africa, the Middle East, and more.

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.

4 zettabytes (4 billion terabytes) of data generated in 2013, 44 zettabytes predicted for 2020 and 185 zettabytes for 2025. These figures are staggering and perfectly illustrate this new era of data deluge. Data has become a major economic and social challenge. The speed of processing of these data is the weakest link in a computer system: the storage system. It is therefore crucial to optimize this operation. During the last decade, storage systems have experienced a major revolution: the advent of flash memory. Flash Memory Integration: Performance and Energy Issues contributes to a better understanding of these revolutions. The authors offer us an insight into the integration of flash memory in computer systems, their behavior in performance and in power consumption compared to traditional storage systems. The book also presents, in their entirety, various methods for measuring the performance and energy consumption of storage systems for embedded as well as desktop/server computer systems. We are invited on a journey to the memories of the future.