Kybernetik og systemteori

Nowadays, online technologies are the core of most fields of engineering and the whole society and are inseparable connected for example with Internet of Things & Industrial Internet of Things (Industry 4.0), Online & Biomedical Engineering, Data Science, Machine Learning, and Artificial Intelligence, Cross & Mixed Reality, and Remote Working Environments. to name only a few.Since the first REV conference in 2004, we tried to focus on the upcoming use of the Internet for engineering tasks and the opportunities as well as challenges around it. Consequently, the motto of this year's REV2022 was "e;Artificial Intelligence and Online Engineering"e;.In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In response to that, the general objective of this conference is to contribute and discuss fundamentals, applications, and experiences in the field of Online and Remote Engineering, Virtual Instrumentation and other related new technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber-Security, and M2M & Smart Objects. Another objective of the conference is to discuss guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and Open Resources.REV2022 was the 19th in a series of annual events concerning the area of Online Engineering. It has been organized in cooperation with The British University in Egypt (BUE), Cairo, as a hybrid event from February 28 until March 02, 2022.

This book begins by introducing new and unique fabrication, micromachining, and integration manufacturing methods for MEMS (Micro-Electro-Mechanical Systems) and NEMS (Nano-Electro-Mechanical Systems) devices, as well as novel nanomaterials for sensor fabrications. The second section focuses on novel sensors based on these emerging MEMS/NEMS fabrication methods, and their related applications in industrial, biomedical, and environmental monitoring fields, which makes up the sensing layer (or perception layer) in IoT architecture. This authoritative guide offers graduate students, postgraduates, researchers, and practicing engineers with state-of-the-art processes and cutting-edge technologies on MEMS /NEMS, micro- and nanomachining, and microsensors, addressing progress in the field and prospects for future development.Presents latest international research on MEMS/NEMS fabrication technologies and novel micro/nano sensors;Covers a broad spectrum of sensor applications;Written by leading experts in the field.

Resilience Engineering (RE) studies have successfully identified and described many instances of resilient performance in high hazard sectors as well as in the far more frequent cases where people and organisations cope with the uncertainties of daily operations. Since RE was first described in 2006, a steady accumulation of insights and efforts have provided the basis for practical tools and methods. This development has been documented by a series of texts in the Resilience Engineering Perspectives series as well as by a growing number of papers and reports. This book encapsulates the essential practical lessons learned from the use of Resilience Engineering (RE) for over ten years. The main contents are a series of chapters written by those who have been instrumental in these applications. To increase the value for the reader, each chapter will include: rationale for the overall approach; data sought and reason(s) for choosing; data sources used, data analyses performed, and how recommendations were made and turned into practice.Serving as a reference for practitioners who want to analyse, support, and manage resilient performance, this book also advances research into RE by inquiring why work goes well in unpredictable environments, to improve work performance, or compensate for deficiencies.

This study about the British artist Roy Ascott, one of the first cybernetic artists, with a career spanning seven decades to date. The book focuses on his early career, exploring the evolution of his early interests in communication in the context of the rich overlaps between art, science and engineering in Britain during the 1950s and 1960s.

This book provides an accessible overview concerning the stochastic numerical methods inheriting long-time dynamical behaviours of finite and infinite-dimensional stochastic Hamiltonian systems. The long-time dynamical behaviours under study involve symplectic structure, invariants, ergodicity and invariant measure. The emphasis is placed on the systematic construction and the probabilistic superiority of stochastic symplectic methods, which preserve the geometric structure of the stochastic flow of stochastic Hamiltonian systems.The problems considered in this book are related to several fascinating research hotspots: numerical analysis, stochastic analysis, ergodic theory, stochastic ordinary and partial differential equations, and rough path theory. This book will appeal to researchers who are interested in these topics.

The aim of this essay is to introduce some of the basic ideas concerning the science of complex systems, and to develop a philosophical stance that is sensitive to complexity itself. In doing so, it is assumed that the Universe in which we find ourselves can be well-described at some arbitrarily deep level as a complex system, in particular, a cellular automaton, much like John Conway's famous Game-of-Life. It is argued that in Life there are no real and absolute boundaries, although many patterns can be uncovered that can be used to build sufficient levels of understanding to allow us to interact with our environment in useful ways, although always accepting that this understanding must be regarded as both approximate and always under review. In short, Dr. Richardson is suggesting that the notion of existence itself must be problematized, so that through constructive criticism and pluralism local 'truths' (with a small 't') can be discovered and temporarily applied. Such a view regards the Universe as simultaneously both deterministic and non-deterministic, and that our own sentience is little more than an illusion derived from a particularly limited perspective. The distinction between what is absolutely real and what is substantially real is a subtle one, but it is such subtleties that differentiate between Capitalists, Scientists, Marxists, Theologists, as well as what makes each of us intellectually unique. These postmodern-esque conclusions are not new. The fact that they can be derived from a strongly realist approach, however, may surprise some.

This book provides readers with an insight into information and knowledge in the Internet of Things, in particular an investigation of data management and processing, information extraction, technology, knowledge management, knowledge sharing, knowledge co-creation, knowledge integration, and the development of new intelligent services available anytime, anywhere, by anyone. The authors show how IoT enables communication and ubiquitous computing between global citizens, networked machines and physical objects, providing a promising vision of the future integrating the real world of knowledge agents and things with the virtual world of information.

This SpringerBrief presents a brief introduction to probabilistic risk assessment (PRA), followed by a discussion of abnormal event detection techniques in industrial control systems (ICS). It also provides an introduction to the use of game theory for the development of cyber-attack response models and a discussion on the experimental testbeds used for ICS cyber security research. The probabilistic risk assessment framework used by the nuclear industry provides a valid framework to understand the impacts of cyber-attacks in the physical world. An introduction to the PRA techniques such as fault trees, and event trees is provided along with a discussion on different levels of PRA and the application of PRA techniques in the context of cybersecurity. A discussion on machine learning based fault detection and diagnosis (FDD) methods and cyber-attack detection methods for industrial control systems are introduced in this book as well.A dynamic Bayesian networks based method that can be used to detect an abnormal event and classify it as either a component fault induced safety event or a cyber-attack is discussed. An introduction to the stochastic game formulation of the attacker-defender interaction in the context of cyber-attacks on industrial control systems to compute optimal response strategies is presented. Besides supporting cyber-attack response, the analysis based on the game model also supports the behavioral study of the defender and the attacker during a cyber-attack, and the results can then be used to analyze the risk to the system caused by a cyber-attack. A brief review of the current state of experimental testbeds used in ICS cybersecurity research and a comparison of the structures of various testbeds and the attack scenarios supported by those testbeds is included. A description of a testbed for nuclear power applications, followed by a discussion on the design of experiments that can be carried out on the testbed and the associated results is covered as well.This SpringerBrief  is a useful resource tool for researchers working in the areas of cyber security for industrial control systems, energy systems and cyber physical systems. Advanced-level students that study these topics will also find this SpringerBrief useful as a study guide.

This book presents state-of-the-art research on security and privacy- preserving for IoT and 5G networks and applications. The accepted book chapters covered many themes, including  traceability and tamper detection in IoT enabled waste management networks, secure Healthcare IoT Systems, data transfer accomplished by trustworthy nodes in cognitive radio, DDoS Attack Detection in Vehicular Ad-hoc Network (VANET) for 5G Networks, Mobile Edge-Cloud Computing, biometric authentication systems for IoT applications, and many other applicationsIt aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on security and privacy- preserving for IoT and 5G networks. 

This book presents the latest research into CSS methods, uses, and results, as presented at the 2019 annual conference of the CSSSA.  This conference was held in Santa Fe, New Mexico, October 24 - 27, 2019, at the Drury Plaza Hotel.  What follows is a diverse representation of new results and approaches for using the tools of CSS and agent-based modeling (ABM) for exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects on which to build, but will also gain a greater appreciation for the broad scope of CSS, and have a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings.

This book, following the three published volumes of the book, provides the main purpose to collect research papers and review papers to provide an overview of the main issues, results, and open questions in the cutting-edge research on the fields of modeling, optimization, and dynamics and their applications to biology, economy, energy, industry, physics, psychology and finance. Assuming the scientific relevance of the presenting innovative applications as well as merging issues in these areas, the purpose of this book is to collect papers of the world experts in mathematics, economics, and other applied sciences that is seminal to the future research developments. The majority of the papers presented in this book is authored by the participants in The Joint Meeting 6th International Conference on Dynamics, Games, and Science - DGSVI - JOLATE and in the 21st ICABR Conference.  The scientific scope of the conferences is focused on the fields of modeling, optimization, and dynamics and their applications to biology, economy, energy, industry, physics, psychology, and finance. Assuming the scientific relevance of the presenting innovative applications as well as merging issues in these areas, the purpose of the conference is to bring together some of the world experts in mathematics, economics, and other applied sciences that reinforce ongoing projects and establish future works and collaborations.

This book presents computationally efficient MPC solutions. The classical model predictive control (MPC) approach to control dynamical systems described by the Wiener model uses an inverse static block to cancel the influence of process nonlinearity. Unfortunately, the model's structure is limited, and it gives poor control quality in the case of an imperfect model and disturbances. An alternative is to use the computationally demanding MPC scheme with on-line nonlinear optimisation repeated at each sampling instant.A linear approximation of the Wiener model or the predicted trajectory is found on-line. As a result, quadratic optimisation tasks are obtained. Furthermore, parameterisation using Laguerre functions is possible to reduce the number of decision variables. Simulation results for ten benchmark processes show that the discussed MPC algorithms lead to excellent control quality. For a neutralisation reactor and a fuel cell, essential advantages ofneural Wiener models are demonstrated.

This book features research presented and discussed during the Research and Innovation Forum (Rii Forum) 2021. The Covid-19 pandemic and its social, political, and economic implications had confirmed that a more thorough debate on these issues and topics was needed. For this reason, the Rii Forum 2021 was devoted to the broadly defined question of the short- and long-term impact of the pandemic on our societies. This volume serves as an essential resource to understand the diverse ways in which Covid-19 impacted our societies, including the capacity to innovate, advances in technology, the evolution of the healthcare systems, business model innovation, the prospects of growth, the stability of political systems, and the future of education. 

This book systematically analyzes the applicability of big data analytics and Industry 4.0 from the perspective of semiconductor manufacturing management. It reports in real examples and presents case studies as supporting evidence. In recent years, technologies of big data analytics and Industry 4.0 have been frequently applied to the management of semiconductor manufacturing. However, related research results are mostly scattered in various journal issues or conference proceedings, and there is an urgent need for a systematic integration of these results. In addition, many related discussions have placed too much emphasis on the theoretical framework of information systems rather than on the needs of semiconductor manufacturing management. This book addresses these issues.

This book gathers contributions on analytical, numerical, and application aspects of time-delay systems, under the paradigm of control theory, and discusses recent advances in these different contexts, also highlighting the interdisciplinary connections. The book will serve as a useful tool for graduate students and researchers in the fields of dynamical systems, automatic control, numerical methods, and functional analysis.

"Martin takes a thorough and focused approach to the processes that rule threat intelligence, but he doesn't just cover gathering, processing and distributing intelligence. He explains why you should care who is trying to hack you, and what you can do about it when you know."-Simon Edwards, Security Testing Expert, CEO SE Labs Ltd., Chair AMTSO Effective introduction to cyber threat intelligence, supplemented with detailed case studies and after action reports of intelligence on real attacks Cyber Threat Intelligence introduces the history, terminology, and techniques to be applied within cyber security, offering an overview of the current state of cyberattacks and stimulating readers to consider their own issues from a threat intelligence point of view. The author takes a systematic, system-agnostic, and holistic view to generating, collecting, and applying threat intelligence. The text covers the threat environment, malicious attacks, collecting, generating, and applying intelligence and attribution, as well as legal and ethical considerations. It ensures readers know what to look out for when considering a potential cyber attack and imparts how to prevent attacks early on, explaining how threat actors can exploit a system's vulnerabilities. It also includes analysis of large scale attacks such as WannaCry, NotPetya, Solar Winds, VPNFilter, and the Target breach, looking at the real intelligence that was available before and after the attack. Topics covered in Cyber Threat Intelligence include: The constant change of the threat environment as capabilities, intent, opportunities, and defenses change and evolve Different business models of threat actors, and how these dictate the choice of victims and the nature of their attacks Planning and executing a threat intelligence programme to improve an organistation's cyber security posture Techniques for attributing attacks and holding perpetrators to account for their actions Cyber Threat Intelligence describes the intelligence techniques and models used in cyber threat intelligence. It provides a survey of ideas, views and concepts, rather than offering a hands-on practical guide. It is intended for anyone who wishes to learn more about the domain, particularly if they wish to develop a career in intelligence, and as a reference for those already working in the area.

This book creates the emergence of disruptive technologies that have led to a significant change in the role of mathematics and statistics for problem solving, with the use of sophisticated software and hardware in solving complex systems and process. In the era of digital technology, mathematics and statistics need to be highly relevant to be able to cater for the needs of IR4.0 such as big data analytics, simulation, autonomous system, and cloud computing. Motivated by this development, a total of 26 chapters are contributed by respectable experts for this book. The main scope of the book is to conduct a new system of modeling and simulations on solving differential equations, nonlinear equations, energy, epidemiology, and risk assessment. This book is of interest for postgraduate students, researchers as well as other scientists who are working in numerical modeling and simulations based on efficient mathematical and statistical techniques.