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This Open Access book celebrates Professor Peter Marwedel's outstanding achievements in compilers, embedded systems, and cyber-physical systems. The contributions in the book summarize the content of invited lectures given at the workshop “Embedded Systems” held at the Technical University Dortmund in early July 2019 in honor of Professor Marwedel's seventieth birthday. Provides a comprehensive view from leading researchers with respect to the past, present, and future of the design of embedded and cyber-physical systems; Discusses challenges and (potential) solutions from theoreticians and practitioners on modeling, design, analysis, and optimization for embedded and cyber-physical systems; Includes coverage of model verification, communication, software runtime systems, operating systems and real-time computing.
Circuits and Systems --- Cyber-physical systems, IoT --- Electronics and Microelectronics, Instrumentation --- Electronic Circuits and Systems --- Cyber-Physical Systems --- cyber-physical systems --- embedded systems --- model verification --- software runtime systems --- real-time computing --- open-access embedded systems --- Electronics: circuits & components --- Electrical engineering --- Cybernetics & systems theory --- Electronics engineering
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This Open Access book introduces readers to many new techniques for enhancing and optimizing reliability in embedded systems, which have emerged particularly within the last five years. This book introduces the most prominent reliability concerns from today’s points of view and roughly recapitulates the progress in the community so far. Unlike other books that focus on a single abstraction level such circuit level or system level alone, the focus of this book is to deal with the different reliability challenges across different levels starting from the physical level all the way to the system level (cross-layer approaches). The book aims at demonstrating how new hardware/software co-design solution can be proposed to ef-fectively mitigate reliability degradation such as transistor aging, processor variation, temperature effects, soft errors, etc. Provides readers with latest insights into novel, cross-layer methods and models with respect to dependability of embedded systems; Describes cross-layer approaches that can leverage reliability through techniques that are pro-actively designed with respect to techniques at other layers; Explains run-time adaptation and concepts/means of self-organization, in order to achieve error resiliency in complex, future many core systems.
Circuits and Systems --- Cyber-physical systems, IoT --- Processor Architectures --- Electronic Circuits and Systems --- Cyber-Physical Systems --- Fault-Tolerant Computing --- Reliability Enhancers in Embedded Systems --- SoCs based on cross-layer-reliability --- System-Level Reliability Analysis --- Dependable Software Execution --- Open access --- Electronics: circuits & components --- Electrical engineering --- Cybernetics & systems theory --- Computer architecture & logic design
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This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.
Cyber-physical systems, IoT --- Communications Engineering, Networks --- Computer Systems Organization and Communication Networks --- Cyber-Physical Systems --- Computer Engineering and Networks --- Machine Learning --- Artificial Intelligence --- Cognitive Robotics --- Internet of Things --- Computational intelligence --- Computer-based algorithms --- Smart grid --- Open Access --- Industry 4.0 --- Electrical engineering --- Cybernetics & systems theory --- Communications engineering / telecommunications --- Computer networking & communications
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This open access book addresses three themes which have been central to Leydesdorff's research: (1) the dynamics of science, technology, and innovation; (2) the scientometric operationalization of these concept; and (3) the elaboration in terms of a Triple Helix of university-industry-government relations. In this study, I discuss the relations among these themes. Using Luhmann's social-systems theory for modelling meaning processing and Shannon's theory for information processing, I show that synergy can add new options to an innovation system as redundancy. The capacity to develop new options is more important for innovation than past performance. Entertaining a model of possible future states makes a knowledge-based system increasingly anticipatory. The trade-off between the incursion of future states on the historical developments can be measured using the Triple-Helix synergy indicator. This is shown, for example, for the Italian national and regional systems of innovation.
Research Methodology --- Knowledge - Discourse --- Communication Studies --- Market Research/Competitive Intelligence --- Semantics --- Sociological Methods --- Biotechnology --- Media and Communication --- Marketing --- Linguistics --- Triple-Helix synergy --- A calculus of redundancy --- horizons of meaning --- anticipatory systems --- operationalisation and measurement --- neo-evolutionary --- social-systems theory --- entropy statistics --- open access --- Social research & statistics --- Sociology --- Market research --- Semantics, discourse analysis, stylistics
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In this concise yet comprehensive Open Access textbook, future inventors are introduced to the key concepts of Cyber-Physical Systems (CPS). Using modeling as a way to develop deeper understanding of the computational and physical components of these systems, one can express new designs in a way that facilitates their simulation, visualization, and analysis. Concepts are introduced in a cross-disciplinary way. Leveraging hybrid (continuous/discrete) systems as a unifying framework and Acumen as a modeling environment, the book bridges the conceptual gap in modeling skills needed for physical systems on the one hand and computational systems on the other. In doing so, the book gives the reader the modeling and design skills they need to build smart, IT-enabled products. Starting with a look at various examples and characteristics of Cyber-Physical Systems, the book progresses to explain how the area brings together several previously distinct ones such as Embedded Systems, Control Theory, and Mechatronics. Featuring a simulation-based project that focuses on a robotics problem (how to design a robot that can play ping-pong) as a useful example of a CPS domain, Cyber-Physical Systems: A Model-Based Approach demonstrates the intimate coupling between cyber and physical components, and how designing robots reveals several non-trivial control problems, significant embedded and real-time computation requirements, and a need to consider issues of communication and preconceptions.
Computer Systems Organization and Communication Networks --- Cyber-physical systems, IoT --- Simulation and Modeling --- Control, Robotics, Mechatronics --- Computer Engineering and Networks --- Cyber-Physical Systems --- Computer Science --- Control, Robotics, Automation --- CPS --- Embedded System --- model-based engineering --- hybrid systems --- Acumen --- coordinate transformations --- modeling computational systems --- modeling physical systems --- control --- sensing and actuation --- game theory --- Open Access --- Computer networking & communications --- Electrical engineering --- Cybernetics & systems theory --- Computer modelling & simulation --- Automatic control engineering --- Electronic devices & materials
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