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Название: Advances in Industrial Internet of Things, Engineering and Management
Автор: Editors: Dagmar Caganova, Natalia Hornakova, Andy Pusca, Pedro Filipe Cunha
Издательство: Springer
Год: 2021
Страниц: 204
Размер: 10.86 МБ
Формат: PDF
Язык: English

This book presents the trends, challenges, and advances in Internet of Things (IoT) in the areas of industrial management and industrial engineering. The authors look at how smart environments (smart city, smart university, smart regions, smart transportation, etc.) affect the way industrial management and industrial engineering are envisioned, planned, and applied and how engineers must incorporate new ideas and methods now and in the future.

Название: Technology Development for Security Practitioners
Автор: Babak Akhgar, Dimitrios Kavallieros
Издательство: Springer
Год: 2021
Страниц: 551
Язык: английский
Формат: pdf (true), epub
Размер: 60.0 MB

This volume is authored by a mix of global contributors from across the landscape of academia, research institutions, police organizations, and experts in security policy and private industry to address some of the most contemporary challenges within the global security domain. The latter includes protection of critical infrastructures (CI), counter-terrorism, application of dark web, and analysis of a large volume of Artificial Intelligence data, cybercrime, serious and organised crime, border surveillance, and management of disasters and crises. In the last decades, the Internet of things (IoT) has been reshaping the surrounding environment of our daily lives as well as the business models of small- and medium-size enterprises (SME) and large industries. The complex interconnection of large networked systems inevitably led to a considerable increase in the number of vulnerabilities related to IoT systems that are easily exploitable.

Название: Enabling Blockchain Technology for Secure Networking and Communications
Автор: Adel Ben Mnaouer, Lamia Chaari Fourati
Издательство: IGI Global
Год: 2021
Страниц: 363
Язык: английский
Формат: pdf (true)
Размер: 20.1 MB

In recent years, the surge of blockchain technology has been rising due to is proven reliability in ensuring secure and effective transactions, even between untrusted parties. Its application is broad and covers public and private domains varying from traditional communication networks to more modern networks like the Internet of Things (IoT) and the Internet of Energy (IoE) crossing fog and edge computing, among others. As technology matures and its standard use cases are established, there is a need to gather recent research that can shed light on several aspects and facts on the use of blockchain technology in different fields of interest.

Название: How to Survive the Internet: Protect your family from hackers and cyber stalkers
Автор: Paul Vlissidis
Издательство: Paul Vlissidis
Год: 2020
Формат: ePUB, PDF
Страниц: 221
Размер: 10 Mb
Язык: English

I decided to gather together into a single place as much information and guidance as I felt people needed to be able to confidently and securely use this amazing technology that has transformed our lives. This book is designed to help ordinary, everyday users of the Internet to improve their resilience against hackers and cyber attacks. The book is written in plain language for the non-technical user, offers step-by-step guidance and also suggests some more challenging techniques for the more technically adventurous.

Название: Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication
Автор: Editor E. S. Gopi
Издательство: Springer
Год: 2021
Страниц: 639
Размер: 30,04 МБ
Формат: PDF
Язык: English

This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book.

Название: Cooperative Control of Complex Network Systems with Dynamic Topologies
Автор: Guanghui Wen, Wenwu Yu, Yuezu Lv, Peijun Wang
Издательство: CRC Press
Год: 2021
Страниц: 305
Размер: 26.08 МБ
Формат: PDF
Язык: English

Far from being separate entities, many social and engineering systems can be considered as complex network systems (CNSs) associated with closely linked interactions with neighbouring entities such as the Internet and power grids. Roughly speaking, a CNS refers to a networking system consisting of lots of interactional individuals, exhibiting fascinating collective behaviour that cannot always be anticipated from the inherent properties of the individuals themselves.

Название: Process Operational Safety and Cybersecurity: A Feedback Control Approach
Автор: Zhe Wu, Panagiotis D. Christofides
Издательство: Springer
Год: 2021
Формат: True PDF
Страниц: 302
Размер: 10,2 Mb
Язык: English

This book is focused on the development of rigorous, yet practical, methods for the design of advanced process control systems to improve process operational safety and cybersecurity for a wide range of nonlinear process systems.
Process Operational Safety and Cybersecurity develops designs for novel model predictive control systems accounting for operational safety considerations, presents theoretical analysis on recursive feasibility and simultaneous closed-loop stability and safety, and discusses practical considerations including data-driven modeling of nonlinear processes, characterization of closed-loop stability regions and computational efficiency.

Название: Stability Analysis and Controller Design of Local Model Networks
Автор: Christian Mayr
Издательство: Springer
Год: 2021
Страниц: 125
Язык: английский
Формат: pdf (true), epub
Размер: 13,8 MB

This book treats various methods for stability analysis and controller design of local model networks (LMNs). LMNs have proved to be a powerful tool in nonlinear dynamic system identification. Their system architecture is more suitable for controller design compared to alternative approximation methods. The main advantage is that linear controller design methods can be, at least locally, applied and combined with nonlinear optimization to calibrate stable state feedback as well as PID controller. The calibration of stable state-feedback controllers is based on the closed loop stability analysis methods. Here, global LMIs (Linear Matrix Inequalities) can be derived and numerically solved. For LMN based nonlinear PID controllers deriving global LMIs is not possible. Thus, two approaches are treated in this book. The first approach works iteratively to get LMIs in each iteration step. The second approach uses a genetic algorithm to determine the PID controller parameters where for each individual the stability is checked. It allows simultaneous enhancement of (competing) optimization criteria.

Название: Fiber-Optic Communication Systems, 5th Edition
Автор: Govind P. Agrawal
Издательство: Wiley
Год: 2021
Формат: PDF
Страниц: 535
Размер: 25,4 Mb
Язык: English

Discover the latest developments in fiber-optic communications with the newest edition of this leading textbook
In the newly revised fifth edition of Fiber-Optic Communication Systems, accomplished researcher and author, Dr. Govind P. Agrawal, delivers brand-new updates and developments in the science of fiber optics communications. The book contains substantial additions covering the topics of coherence detection, space division multiplexing, and more advanced subjects.

Название: Task Intelligence for Search and Recommendation
Автор: Chirag Shah, Ryen W White
Издательство: Morgan & Claypool
Год: 2021
Страниц: 162
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

While great strides have been made in the field of search and recommendation, there are still challenges and opportunities to address information access issues that involve solving tasks and accomplishing goals for a wide variety of users. Specifically, we lack intelligent systems that can detect not only the request an individual is making (what), but also understand and utilize the intention (why) and strategies (how) while providing information and enabling task completion. Many scholars in the fields of information retrieval, recommender systems, productivity (especially in task management and time management), and artificial intelligence have recognized the importance of extracting and understanding people's tasks and the intentions behind performing those tasks in order to serve them better.