Design Methodology for Intelligent Technical Systems
Design Methodology for Intelligent Technical Systems

Author: Jürgen Gausemeier

Publisher: Springer Science & Business Media

Published: 2014-01-28

Total Pages: 372

ISBN-13: 3642454356

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Intelligent technical systems, which combine mechanical, electrical and software engineering with control engineering and advanced mathematics, go far beyond the state of the art in mechatronics and open up fascinating perspectives. Among these systems are so-called self-optimizing systems, which are able to adapt their behavior autonomously and flexibly to changing operating conditions. Self-optimizing systems create high value for example in terms of energy and resource efficiency as well as reliability. The Collaborative Research Center 614 "Self-optimizing Concepts and Structures in Mechanical Engineering" pursued the long-term aim to open up the active paradigm of self-optimization for mechanical engineering and to enable others to develop self-optimizing systems. This book is directed to researchers and practitioners alike. It provides a design methodology for the development of self-optimizing systems consisting of a reference process, methods, and tools. The reference process is divided into two phases the domain-spanning conceptual design and the domain-specific design and development. For the conceptual design a holistic approach is provided. Domain-specific methods and tools developed especially for the design and development of self-optimizing systems are described and illustrated by application examples. This book will enable the reader to identify the potential for self-optimization and to develop self-optimizing systems independently.

Material-Integrated Intelligent Systems
Material-Integrated Intelligent Systems

Author: Stefan Bosse

Publisher: John Wiley & Sons

Published: 2018-03-12

Total Pages: 696

ISBN-13: 3527336060

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Combining different perspectives from materials science, engineering, and computer science, this reference provides a unified view of the various aspects necessary for the successful realization of intelligent systems. The editors and authors are from academia and research institutions with close ties to industry, and are thus able to offer first-hand information here. They adopt a unique, three-tiered approach such that readers can gain basic, intermediate, and advanced topical knowledge. The technology section of the book is divided into chapters covering the basics of sensor integration in materials, the challenges associated with this approach, data processing, evaluation, and validation, as well as methods for achieving an autonomous energy supply. The applications part then goes on to showcase typical scenarios where material-integrated intelligent systems are already in use, such as for structural health monitoring and smart textiles.

Intelligent Technical Systems
Intelligent Technical Systems

Author: Natividad Martínez Madrid

Publisher: Springer Science & Business Media

Published: 2009-02-18

Total Pages: 294

ISBN-13: 1402098235

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Intelligent technical systems are networked, embedded systems incorporating real-time capacities that are able to interact with and adapt to their environments. These systems need innovative approaches in order to meet requirements like cost, size, power and memory consumption, as well as real-time compliance and security. Intelligent Technical Systems covers different levels like multimedia systems, embedded programming, middleware platforms, sensor networks and autonomous systems and applications for intelligent engineering. Each level is discussed by a set of original articles summarizing the state of the art and presenting a concrete application; they include a deep discussion of their model and explain all design decisions relevant to obtain a mature solution.

Developing Intelligent Agent Systems
Developing Intelligent Agent Systems

Author: Lin Padgham

Publisher: John Wiley & Sons

Published: 2005-06-24

Total Pages: 240

ISBN-13: 0470861215

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Build your own intelligent agent system... Intelligent agent technology is a tool of modern computer science that can be used to engineer complex computer programmes that behave rationally in dynamic and changing environments. Applications range from small programmes that intelligently search the Web buying and selling goods via electronic commerce, to autonomous space probes. This powerful technology is not widely used, however, as developing intelligent agent software requires high levels of training and skill. The authors of this book have developed and tested a methodology and tools for developing intelligent agent systems. With this methodology (Prometheus) developers can start agent-oriented designs and implementations easily from scratch saving valuable time and resources. Developing Intelligent Agent Systems not only answers the questions “what are agents?” and “why are they useful?” but also the crucial question: “how do I design and build intelligent agent systems?” The book covers everything a practitioner needs to know to begin to effectively use this technology - including an introduction to the notion of agents, a description of the concepts involved, and a software engineering methodology. Read on for: a practical step-by-step introduction to designing and building intelligent agent systems. a full life-cycle methodology for developing intelligent agent systems covering specification, analysis, design and implementation of agents. PDT: Prometheus Design Tool – software support for the Prometheus design process. the example of an electronic bookstore to illustrate the design process throughout the book. Electronic resources including the Prometheus Design Tool (PDT), can be found at: http://www.cs.rmit.edu.au/agents/prometheus This book is aimed at industrial software developers, software engineers and at advanced undergraduate students. It assumes knowledge of basic software engineering but does not require knowledge of Artificial Intelligence or of mathematics. Familiarity with Java will help in reading the examples in chapter 10.

Innovations Induced by Research in Technical Systems
Innovations Induced by Research in Technical Systems

Author: Maciej Majewski

Publisher: Springer Nature

Published: 2020-01-03

Total Pages: 202

ISBN-13: 3030375668

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This book reports on innovative technologies and their applications in the field of mechanical engineering, covering new design methods as well as the practical implementation and optimization of existing ones to satisfy growing and changing industrial needs. The book features the proceedings of the International Online Conference on Innovations Induced by Research in Technical Systems (IIRTS’2019), organized by the Department of Technical and Informatics Systems Engineering – Faculty of Mechanical Engineering, Koszalin University of Technology (Poland). The book offers a snapshot of innovative methods, cutting-edge applications, and industrially relevant findings in the broad field of technical systems.

Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017
Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017

Author: Anna Burduk

Publisher: Springer

Published: 2017-08-16

Total Pages: 484

ISBN-13: 3319644653

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The volume presents a collection of 44 peer-reviewed articles from the First International Conference on Intelligent Systems in Production Engineering and Maintenance (ISPEM 2017). ISPEM 2017 was organized by the Faculty of Mechanical Engineering, Wrocław University of Science and Technology and was held in Wrocław (Poland) on 28–29 September 2017. The main topics of the conference included the possibility of using widely understood intelligent methods in production engineering. New solutions for innovative plants, research results and case studies taking into account advances in production and maintenance from the point of view of Industry 4.0 were presented and discussed—with special attention paid to applications of intelligent systems, methods and tools in production engineering, maintenance, logistics, quality management, information systems, and product development. The volume is divided into two parts: 1. Intelligent Systems in Production Engineering 2. Intelligent Systems in Maintenance This book is an excellent reference resource for scientists in the field of manufacturing engineering and for top managers in production enterprises.

Dependability of Self-Optimizing Mechatronic Systems
Dependability of Self-Optimizing Mechatronic Systems

Author: Jürgen Gausemeier

Publisher: Springer Science & Business Media

Published: 2014-01-23

Total Pages: 206

ISBN-13: 3642537421

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Intelligent technical systems, which combine mechanical, electrical and software engineering with methods from control engineering and advanced mathematics, go far beyond the state of the art in mechatronics and open up fascinating perspectives. Among these systems are so-called self-optimizing systems, which are able to adapt their behavior autonomously and flexibly to changing operating conditions. The Collaborative Research Center 614 "Self-optimizing concepts and structures in mechanical engineering" pursued the long-term aim to enable others to develop dependable self-optimizing systems. Assuring their dependability poses new challenges. However, self-optimization also offers the possibility to adapt the system's behavior to improve dependability during operation. The aim of this book is to provide methods and techniques to master the challenges and to exploit the possibilities given by self-optimization. The reader will be able to develop self-optimizing systems that fulfill and surpass today’s dependability requirements easily. This book is directed to researchers and practitioners alike. It gives a brief introduction to the holistic development approach for self-optimizing mechatronic systems and the steps required to assure a dependable product design starting with the very early conceptual design phase. A guideline to select suitable methods for each step and the methods themselves are included. Each method is individually introduced, many examples and full references are given.

Implementing Polytope Projects for Smart Systems
Implementing Polytope Projects for Smart Systems

Author: Octavian Iordache

Publisher: Springer

Published: 2017-01-25

Total Pages: 197

ISBN-13: 3319525514

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This book presents a domain of extreme industrial and scientific interest: the study of smart systems and structures. It presents polytope projects as comprehensive physical and cognitive architectures that support the investigation, fabrication and implementation of smart systems and structures. These systems feature multifunctional components that can perform sensing, control, and actuation. In light of the fact that devices, tools, methodologies and organizations based on electronics and information technology for automation, specific to the third industrial revolution, are increasingly reaching their limits, it is essential that smart systems be implemented in industry. Polytope projects facilitate the utilization of smart systems and structures as key elements of the fourth industrial revolution. The book begins by presenting polytope projects as a reference architecture for cyber-physical systems and smart systems, before addressing industrial process synthesis in Chapter 2. Flow-sheet trees, cyclic separations and smart configurations for multi-component separations are discussed here. In turn, Chapter 3 highlights periodic features for drug delivery systems and networks of chemical reactions, while Chapter 4 applies conditioned random walks to polymers and smart materials structures. Chapter 5 examines self-assembly and self-reconfiguration at different scales from molecular to micro systems. Smart devices and technologies are the focus of chapter 6. Modular micro reactor systems and timed automata are examined in selected case studies. Chapter 7 focuses on inferential engineering designs, concept-knowledge, relational concept analysis and model driven architecture, while Chapter 8 puts the spotlight on smart manufacturing, industry 4.0, reference architectures and models for new product development and testing. Lastly, Chapter 9 highlights the polytope projects methodology and the prospects for smart systems and structures. Focusing on process engineering and mathematical modeling for the fourth industrial revolution, the book offers a unique resource for engineers, scientists and entrepreneurs working in chemical, biochemical, pharmaceutical, materials science or systems chemistry, students in various domains of production and engineering, and applied mathematicians.

Dependable IoT for Human and Industry
Dependable IoT for Human and Industry

Author: Vyacheslav Kharchenko

Publisher: CRC Press

Published: 2022-09-01

Total Pages: 623

ISBN-13: 1000792889

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There are numerous publications which introduce and discuss the Internet of Things (IoT). In the midst of these, this work has several unique characteristics which should change the reader’s perspective, and in particular, provide a more profound understanding of the impact of the IoT on society. Dependable IoT for Human and Industry covers the main aspects of Internet of Things and IoT based systems such as global issues of applications, modeling, development and implementation of dependable IoT for different human and industry domains. Technical topics discussed in the book include:  Introduction in Internet of vital and trust Things Modelling and assessment techniques for dependable and secure IoT systems Architecting and development of IoT systems Implementation of IoT for smart cities and drone fleets; business and blockchain, transport and industry Training courses and education experience on Internet and Web of ThingThe book contains chapters which have their roots in the International Conference IDAACS 2017, and Workshop on Cyber Physical Systems and IoT Dependability CyberIoT-DESSERT 2017.

Artificial Intelligence Technologies and Applications
Artificial Intelligence Technologies and Applications

Author: C. Chen

Publisher: IOS Press

Published: 2024-02-15

Total Pages: 1158

ISBN-13: 164368485X

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Artificial Intelligence (AI) is rapidly becoming an inescapable part of modern life, and the fact that AI technologies and applications will inevitably bring about significant changes in many industries and economies worldwide means that this field of research is currently attracting great interest. This book presents the proceedings of ICAITA 2023, the 5th International Conference on Artificial Intelligence Technologies and Applications, held as a hybrid event from 30 June to 2 July 2023 in Changchun, China. The conference provided an international forum for academic communication between experts and scholars in the field of AI, promoting the interchange of scientific information between participants and establishing connections which may lead to collaboration, research, and development activities in related fields. The 126 papers included here were selected following a thorough review process and are divided into 4 sections, covering AI simulation and mechatronics; intelligent network architecture and system monitoring; intelligent algorithm modeling and numerical analysis; and intelligent graph recognition and information processing. Topics addressed include artificial neural networks, computational theories of learning, intelligent system architectures, pervasive computing and ambient intelligence, and fuzzy logic and methods. Covering a wide range of topics and applications current in AI research, the book will be of interest to all those working in the field.