Dietmar P.F. Möller – författare

This book presents a collection of invited contributions, each reflecting an area of biomedicine in which simulation techniques have been successfully applied. Thus, it provides a state-of-the-art survey of simulation techniques in a variety of biomedical applications. Chapter one presents the conceptual framework for advanced simulations such as parallel processing in biological systems. Chapter two focuses on structured biological modeling based on the bond graph method. This is followed by an up-to-date account of advanced simulation of a variety of sophisticated biomedical processes. The authors provide many insights into how computer simulation techniques and tools can be applied to research problems in biomedicine. The idea for this book arose out of the daily work by experts in their field and reflects developing areas. Therefore, I think the material is timely and hope that the work described will be an encouragement for others. It is the objective of this book to present advanced simulation techniques in biomedicine and outline current research, as well as to point out open problems, in this dynamic field. Finally, I wish to express my thanks to those colleagues who have made this book possible with their contributions.

This comprehensive textbook/reference provides an in-depth overview of the key aspects of transportation analysis, with an emphasis on modeling real transportation systems and executing the models. Topics and features: presents comprehensive review questions at the end of each chapter, together with detailed case studies, useful links, references and suggestions for further reading; supplies a variety of teaching support materials at the book’s webpage on Springer.com, including a complete set of lecture slides; examines the classification of models used for multimodal transportation systems, and reviews the models and evaluation methods used in transportation planning; explains traffic assignment to road networks, and describes computer simulation integration platforms and their use in the transportation systems sector; provides an overview of transportation simulation tools, and discusses the critical issues in the design, development and use of the simulation models.

This comprehensive textbook/reference provides an in-depth overview of the key aspects of transportation analysis, with an emphasis on modeling real transportation systems and executing the models. Topics and features: presents comprehensive review questions at the end of each chapter, together with detailed case studies, useful links, references and suggestions for further reading; supplies a variety of teaching support materials at the book’s webpage on Springer.com, including a complete set of lecture slides; examines the classification of models used for multimodal transportation systems, and reviews the models and evaluation methods used in transportation planning; explains traffic assignment to road networks, and describes computer simulation integration platforms and their use in the transportation systems sector; provides an overview of transportation simulation tools, and discusses the critical issues in the design, development and use of the simulation models.

I have long had an interest in the life sciences, but have had few opportunities to indulge that interest in my professional activities. It has only been through simulation that those opportunities have arisen. Some of my most enjoyable classes were those I taught to students in the life sciences, where I attempted to show them the value of simulation to their discipline. That there is such a value cannot be questioned. Whether you are interested in population ecology, phar­ macokinetics, the cardiovascular system, or cell interaction, simulation can play a vital role in explaining the underlying processes and in enhancing our understanding of these processes. This book comprises an excellent collection of contributions, and clearly demonstrates the value of simulation in the particular areas of physiology and bioengineering. My main frustration when teaching these classes to people with little or no computer background was the lack of suitable simulation software. This di­ rectly inspired my own attempts at producing software usable by the computer novice. It is especially nice that software is available that enables readers to experience the examples in this book for themselves. I would like to congratulate and thank the editors, Rogier P. van Wijk van Brievingh and Dietmar P. P. Moller, for all of their excellent efforts. They should be proud of their achievement. This is the sixth volume in the Advances in Simulation series, and other volumes are in preparation.

This book brings together the essential methodologies required to understand the advancement of digital technologies into digital transformation, as well as to protect them against cyber threat vulnerabilities (in this context cybersecurity attack ontology is included, modeling different types of adversary knowledge). It covers such essential methodologies as CIA Triad, Security Risk, Likelihood, and Consequence Level, Threat Attack Profiling, Threat Intelligence, Threat Lifecycle and more. The idea behind digital transformation is to use digital technologies not only to replicate an existing process in a digital form, but to use digital technology to transform that process into something intelligent (where anything is connected with everything at any time and accessible and controlled and designed advanced). Against this background, cyber threat attacks become reality, using advanced digital technologies with their extreme interconnected capability which call for sophisticated cybersecurity protecting digital technologies of digital transformation.Scientists, advanced-level students and researchers working in computer science, electrical engineering and applied mathematics will find this book useful as a reference guide.  Professionals working in the field of big data analytics or digital/intelligent manufacturing will also find this book to be a valuable tool.

In today’s digital transformation environments, a rigorous cybersecurity approach to effective risk management — including contingency planning, outlining immediate actions, preparing post-breach responses — is central to defending organizations’ interconnected computer systems, networks, and infrastructure resources from malicious cyber-attacks.Specifically, cybersecurity technologies, processes, and practices need to be generalized and applied to intrusion detection and prevention measures. This entails analyzing profiles of cyber-attackers and building cyber-attack models for behavior simulation that can effectively counter such attacks. This comprehensive volume aims to cover all essential aspects of cybersecurity in digital transformation and to provide a framework for considering the many objectives and requirements involved. In addition to introducing theoretical foundations, the work also offers practical techniques for defending against malicious cybercriminals.Topics and features:Explores cybersecurity’s impact on the dynamics of interconnected, complex cyber- and physical systems, infrastructure resources, and networksProvides numerous examples of applications and best practicesConsiders methods that organizations can use to assess their cybersecurity awareness and/or strategyDescribes anomaly intrusion detection, a key tool in thwarting both malware and theft (whether by insiders or external parties) of corporate dataAddresses cyber-attacker profiles, cyber-attack models and simulation, cybersecurity ontology, access-control mechanisms, and policies for handling ransomware attacksDiscusses the NIST Cybersecurity Framework, MITRE Adversarial Tactics, Techniques and Common Knowledge, CIS Critical Security Controls, and the ISA/IEC 62442 Cybersecurity StandardGathering all the relevant information, this practical guide is eminently suitable as a self-study resource for engineers, scientists, computer scientists, and chief information officers. Further, with its many examples of best practices, it can serve as an excellent text for graduate-level courses and research into cybersecurity.Dietmar P. F. Möller, a retired full professor, is affiliated with the Institute for Mathematics at Clausthal University of Technology, Germany.  He was an author of several other Springer titles, including Guide to Automotive Connectivity and Cybersecurity.

In today’s digital transformation environments, a rigorous cybersecurity approach to effective risk management — including contingency planning, outlining immediate actions, preparing post-breach responses — is central to defending organizations’ interconnected computer systems, networks, and infrastructure resources from malicious cyber-attacks.Specifically, cybersecurity technologies, processes, and practices need to be generalized and applied to intrusion detection and prevention measures. This entails analyzing profiles of cyber-attackers and building cyber-attack models for behavior simulation that can effectively counter such attacks. This comprehensive volume aims to cover all essential aspects of cybersecurity in digital transformation and to provide a framework for considering the many objectives and requirements involved. In addition to introducing theoretical foundations, the work also offers practical techniques for defending against malicious cybercriminals.Topics and features:Explores cybersecurity’s impact on the dynamics of interconnected, complex cyber- and physical systems, infrastructure resources, and networksProvides numerous examples of applications and best practicesConsiders methods that organizations can use to assess their cybersecurity awareness and/or strategyDescribes anomaly intrusion detection, a key tool in thwarting both malware and theft (whether by insiders or external parties) of corporate dataAddresses cyber-attacker profiles, cyber-attack models and simulation, cybersecurity ontology, access-control mechanisms, and policies for handling ransomware attacksDiscusses the NIST Cybersecurity Framework, MITRE Adversarial Tactics, Techniques and Common Knowledge, CIS Critical Security Controls, and the ISA/IEC 62442 Cybersecurity StandardGathering all the relevant information, this practical guide is eminently suitable as a self-study resource for engineers, scientists, computer scientists, and chief information officers. Further, with its many examples of best practices, it can serve as an excellent text for graduate-level courses and research into cybersecurity.Dietmar P. F. Möller, a retired full professor, is affiliated with the Institute for Mathematics at Clausthal University of Technology, Germany.  He was an author of several other Springer titles, including Guide to Automotive Connectivity and Cybersecurity.

This book presents an in-depth review of the state of the art of cyber-physical systems (CPS) and their applications. Relevant case studies are also provided, to help the reader to master the interdisciplinary material. Features: includes self-test exercises in each chapter, together with a glossary; offers a variety of teaching support materials at an associated website, including a comprehensive set of slides and lecture videos; presents a brief overview of the study of systems, and embedded computing systems, before defining CPS; introduces the concepts of the Internet of Things, and ubiquitous (or pervasive) computing; reviews the design challenges of CPS, and their impact on systems and software engineering; describes the ideas behind Industry 4.0 and the revolutions in digital manufacturing, including smart and agile manufacturing, as well as cybersecurity in manufacturing; considers the social impact of the changes in skills required by the globalized, digital work environment of the future.

This comprehensive text/reference presents an in-depth review of the state of the art of automotive connectivity and cybersecurity with regard to trends, technologies, innovations, and applications. The text describes the challenges of the global automotive market, clearly showing where the multitude of innovative activities fit within the overall effort of cutting-edge automotive innovations, and provides an ideal framework for understanding the complexity of automotive connectivity and cybersecurity.Topics and features: discusses the automotive market, automotive research and development, and automotive electrical/electronic and software technology; examines connected cars and autonomous vehicles, and methodological approaches to cybersecurity to avoid cyber-attacks against vehicles; provides an overview on the automotive industry that introduces the trends driving the automotive industry towards smart mobility and autonomous driving; reviews automotive research and development, offering background on the complexity involved in developing new vehicle models; describes the technologies essential for the evolution of connected cars, such as cyber-physical systems and the Internet of Things; presents case studies on Car2Go and car sharing, car hailing and ridesharing, connected parking, and advanced driver assistance systems; includes review questions and exercises at the end of each chapter.The insights offered by this practical guide will be of great value to graduate students, academic researchers and professionals in industry seeking to learn about the advanced methodologies in automotive connectivity and cybersecurity.

This book presents an in-depth review of the state of the art of cyber-physical systems (CPS) and their applications. Relevant case studies are also provided, to help the reader to master the interdisciplinary material. Features: includes self-test exercises in each chapter, together with a glossary; offers a variety of teaching support materials at an associated website, including a comprehensive set of slides and lecture videos; presents a brief overview of the study of systems, and embedded computing systems, before defining CPS; introduces the concepts of the Internet of Things, and ubiquitous (or pervasive) computing; reviews the design challenges of CPS, and their impact on systems and software engineering; describes the ideas behind Industry 4.0 and the revolutions in digital manufacturing, including smart and agile manufacturing, as well as cybersecurity in manufacturing; considers the social impact of the changes in skills required by the globalized, digital work environment of the future.

Das "3. Symposium Simulationstechnik" fand vom 23. bis 26. September 1985 auf der Ebernburg in Bad MUnster am Stein-Ebernburg statt. Diese Tagung setzte die Reihe einer vom FachausschuB 4.5 Simulation ASIM) in der GI ( Gesellschaft fUr Informatik ) ins Leben gerufenen Tagungen fort, die 1982 mit dem "1. Symposium Simulationstechnik" in Erlangen begann, 1983 international en Charakter trug als "First European Simu- lation Congress", durchgefUhrt in Aachen, und 1983 in Wien mit dem "2. Symposium Simulationstechnik" fortgesetzt wurde. Die Beitrige des "3. Symposium Simulationstechnik" wurden von einem in- ternationalen Programmkomitee ( W. Ameling, RWTH Aachen; I. Bausch-Gall, MUnchen; F. Breitenecker, TU-Wien; K.H. Fasol, Ruhr Univ. Bochum; H. Fuss, GMD Bonn; J. Halin, ETH ZUrich; W. Kleinert, TU Wien; D. P. F. Moller, Univ. Mainz; H. J. Munser, Dornier GmbH Friedrichshafen; D. Popovic, Univ. Bremen; H. Rake, RWTH Aachen; B. Schmidt, Univ. Erlangen ) sorg- filtig ausgewihlt und spiegeln den aktuellen Stand der Simulation in Theorie und Praxis wieder.Urn der graBen Bedeutung der Simulation in den Anwendungsbereichen gerecht zu werden, wurde niuht die Ubliche Einteilung der Beitrige in Methodolo- gie, Software, Hardware und Anwendungen vorgenommen, sondern nach Anwen- dungsgruppen klassifiziert, wie folgt: Modellbildungs- und Softwaremethodik Simulationshardware Simulationssprachen und Simulations software Echtzeitsimulatiom Mathematische Verfahren Parameteridentifikation Simulation in Biologie und Medizin Schaltkreissimulation Simulation in technischen Anwendungen Simulation in der Fertigungstechnik Simulation in betriebwirtschaftlichen Anwendungen FUnf Hauptvortrige mit den ThemenkreisenModellbildung, Diagnoseverfahren, Echtzeitsimulation, Biokybernetik, Parameteridentifikation arbeiteten auch prospektive Aspekte der Simulation heraus.

Mathematical and Computational Modeling and Simulation - a highly multi-disciplinary field with ubiquitous applications in science and engineering - is one of the key enabling technologies of the 21st century. This book introduces the reader to the use of mathematical and computational modeling and simulation in order to develop an understanding of the solution characteristics of a broad class of real-world problems. The relevant basic and advanced methodologies are explained in detail, with special emphasis on ill-defined problems. Some 15 simulation systems are presented on the language and the logical level. Moreover, the reader can accumulate experience by studying a wide variety of case studies. The latter are briefly described within the book but their full versions as well as some simulation software demos are available on the Web. The book can be used for university courses of different levels as well as for self-study. Advanced sections are marked and can be skipped in a first reading or in undergraduate courses.

Das Buch behandelt in ausf}hrlicher Darstellung ausgew{hlte Fallstudien der Analyse dynamischer Systeme in Medizin, Biologie und \kologie von aktueller Bedeutung. Dabei werden sowohl grundlegende und allgemeing}ltige Fragestellungen, als auch spezielle anwendungsbezogene Probleme behandelt. Die Darstellungsweise ist auf Interdisziplinarit{t hin ausgerichtet, so da~ sowohl die notwendigen Grundlageninformationen,das Detailwissen, als auch die aktuelle Literatur zum jeweiligen Gebiet sofort verf}gbar ist. Das Buch eignet sich zum einen als Nachschlagewerk,aber auch als Einstiegswerk in Fragestellungen aus Medizin, \kologie, Umweltqualit{t und Mathematik mit den Schwerpunkten Systemanalyse und Simulation.

Modelle von komplexen, dynamischen Systemen findet man heute nicht nur innerhalb der Nachrichten- und Regelungstechnik, sondern auch in den anderentechnischen Disziplinen, den Natur-, Sozial-, Wirtschafts- und Umweltwissenschaften. Seitdem gr|~ere elektronische Rechnerkapazit{ten verf}gbar sind, erm|glicht die numerische Simulation die Systemanalyse anhand dieser Modelle. Dieses Lehrbuch f}hrt in die Simulationsmethode ein, nachdem der notwendige erste Schritt, die Modellbildung ausf}hrlich behandelt wurde. Ein umfangreiches Kapitel istder Identifikation gewidmet, bei der aufgrund vorhandener Me~daten Struktur und Parameter von Modellen festgelegt werden. Als Beispiele zur Illustration dieser interdisziplin{ren Me- thoden werden zwar nat}rliche undtechnische Systeme verwen- det, der Lernstoff wird jedoch unabh{ngig von speziellen An- wendungen formuliert. Mathematikkenntnisse entsprechend dem Vordiplom in den Ingenieurwissenschaften werden zwar voraus- gesetzt, der Autor, selbst Ingenieur, bem}ht sich jedoch, auch die notwendig abstrakten Inhalte f}r Nicht-Mathematiker verst{ndlich darzustellen.