Special Section on the 2014 CASE Conference (part 2) and Special Section on the 2015 International Conference on Cyber-Physical Systems

Special Section on the 2014 CASE Conference (part 2) and Special Section on the 2015 International Conference on Cyber-Physical Systems PDF Author: Fan-Tien Cheng
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description


Cyber-physical Systems and Digital Twins

Cyber-physical Systems and Digital Twins PDF Author: Michael E. Auer
Publisher: Springer
ISBN: 3030231623
Category : Technology & Engineering
Languages : en
Pages : 862

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Book Description
This book constitutes the proceedings of the 16th International Conference on Remote Engineering and Virtual Instrumentation (REV), held at the BMS College of Engineering, Bangalore, India on 3–6 February 2019. Today, online technologies are at the core of most fields of engineering, as well as of society as a whole, and are inseparably connected with Internet of Things, cyber-physical systems, collaborative networks and grids, cyber cloud technologies, service architectures, to name but a few. Since it was first held in, 2004, the REV conference has focused on the increasing use of the Internet for engineering tasks and the problems surrounding it. The 2019 conference demonstrated and discussed the fundamentals, applications and experiences in the field of online engineering and virtual instrumentation. It also presented guidelines for university-level courses on these topics, in view of the increasing globalization of education and the demand for teleworking, remote services and collaborative working environments.

Secure and Smart Cyber-Physical Systems

Secure and Smart Cyber-Physical Systems PDF Author: Uttam Ghosh
Publisher: CRC Press
ISBN: 1040012558
Category : Computers
Languages : en
Pages : 260

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Book Description
Cybersecurity is a paramount concern in both Internet of Things (IoT) and Cyber-Physical Systems (CPSs) due to the interconnected and often critical nature of these systems. The integration of AI/ML into the realm of IoT and CPS security has gained significant attention and momentum in recent years. The success of AI/ML in various domains has sparked interest in leveraging these technologies to enhance the security, resilience, and adaptability of IoT and CPS. Secure and Smart Cyber-Physical Systems provides an extensive exploration of AI/ML-based security applications in the context of IoT and CPS. Features Presents cutting-edge topics and research in IoT and CPS Includes contributions from leading worldwide researchers Focuses on CPS architectures for secure and smart environments Explores AI/ML and blockchain approaches for providing security and privacy to CPS including smart grids, smart cities, and smart healthcare Provides comprehensive guidance into the intricate world of software development for medical devices Covers a blueprint for the emergence of 6G communications technology in Industry 5.0 and federated-learning-based secure financial services This book covers state-of-the-art problems, existing solutions, and potential research directions for CPS researchers, scholars, and professionals in both industry and academia.

Advances in Service-Oriented and Cloud Computing

Advances in Service-Oriented and Cloud Computing PDF Author: Alexander Lazovik
Publisher: Springer
ISBN: 3319721259
Category : Computers
Languages : en
Pages : 313

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Book Description
This volume contains the technical papers presented in the workshops associated with the European Conference on Service-Oriented and Cloud Computing, ESOCC 2016, held in Vienna, Austria, in September 2016: 4th International Workshop on Cloud for IoT, CLloT 2016, Second International Workshop on Cloud Adoption and Migration, CloudWays 2016, First International Workshop on Patterns and Pattern Languages for SOCC: Use and Discovery, PATTWORLD 2016, combined with the First International Workshop on Performance and Conformance of Workflow Engines, PEaCE 2016, IFIP WG SOS Workshop 2016 Rethinking Services ResearCH, ReSeRCH 2016. Furthermore, there is a topical section presenting the results of the PhD Symposium. The abstracts of the presentations held at the European Projects Forum, EU Projects 2016, are included in the back-matter of the volume. The 15 full papers included in this volume were carefully reviewed and selected from 49 submissions. They focus on specific topics in service-oriented and cloud computing domains such as limits and/or advantages of existing cloud solutions, future internet technologies, efficient and adaptive deployment and management of service-based applications across multiple clouds, novel cloud service migration practices and solutions, digitization of enterprises in the cloud computing era, federated cloud networking services.

Smart Service Management

Smart Service Management PDF Author: Maria Maleshkova
Publisher: Springer Nature
ISBN: 3030581829
Category : Computers
Languages : en
Pages : 227

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Book Description
This book presents the main theoretical foundations behind smart services as well as specific guidelines and practically proven methods on how to design them. Furthermore, it gives an overview of the possible implementation architectures and shows how the designed smart services can be realized with specific technologies. Finally, it provides four specific use cases that show how smart services have been realized in practice and what impact they have within the businesses. The first part of the book defines the basic concepts and aims to establish a shared understanding of terms, such as smart services, service systems, smart service systems or cyber-physical systems. On this basis, it provides an analysis of existing work and includes insights on how an organization incorporating smart services could enhance and adjust their management and business processes. The second part on the design of smart services elaborates on what constitutes a successful smart service and describes experiences in the area of interdisciplinary teams, strategic partnerships, the overall service systems and the common data basis. In the third part, technical reference architectures are presented in detail, encompassing topics on the design of digital twins in cyber physical systems, the communication between entities and sensors in the age of Industry 4.0 as well as data management and integration. The fourth part then highlights a number of analytical possibilities that can be realized and that can constitute or be part of smart services, including machine learning and artificial intelligence methods. Finally, the applicability of the introduced design and development method is demonstrated by considering specific real-world use cases. These include services in the industrial and mobility sector, which were developed in direct cooperation with industry partners. The main target audience of this book is industry-focused readers, especially practitioners from industry, who are involved in supporting and managing digital business. These include professionals working in business development, product management, strategy, and development, ranging from middle management to Chief Digital Officers. It conveys all the basics needed for developing smart services and successfully placing them on the market by explaining technical aspects as well as showcasing practical use cases.

Safe, Autonomous and Intelligent Vehicles

Safe, Autonomous and Intelligent Vehicles PDF Author: Huafeng Yu
Publisher: Springer
ISBN: 3319973010
Category : Technology & Engineering
Languages : en
Pages : 215

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Book Description
This book covers the start-of-the-art research and development for the emerging area of autonomous and intelligent systems. In particular, the authors emphasize design and validation methodologies to address the grand challenges related to safety. This book offers a holistic view of a broad range of technical aspects (including perception, localization and navigation, motion control, etc.) and application domains (including automobile, aerospace, etc.), presents major challenges and discusses possible solutions.

Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems PDF Author: Vipin Kumar Kukkala
Publisher: Springer Nature
ISBN: 3031280164
Category : Technology & Engineering
Languages : en
Pages : 782

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Book Description
This book provides comprehensive coverage of various solutions that address issues related to real-time performance, security, and robustness in emerging automotive platforms. The authors discuss recent advances towards the goal of enabling reliable, secure, and robust, time-critical automotive cyber-physical systems, using advanced optimization and machine learning techniques. The focus is on presenting state-of-the-art solutions to various challenges including real-time data scheduling, secure communication within and outside the vehicle, tolerance to faults, optimizing the use of resource-constrained automotive ECUs, intrusion detection, and developing robust perception and control techniques for increasingly autonomous vehicles.

Cyber-Physical Systems: Intelligent Models and Algorithms

Cyber-Physical Systems: Intelligent Models and Algorithms PDF Author: Alla G. Kravets
Publisher: Springer Nature
ISBN: 3030951162
Category : Technology & Engineering
Languages : en
Pages : 277

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Book Description
This book is devoted to intelligent models and algorithms as the core components of cyber-physical systems. The complexity of cyber-physical systems developing and deploying requires new approaches to its modelling and design. Presents results in the field of modelling technologies that leverage the exploitation of artificial intelligence, including artificial general intelligence (AGI) and weak artificial intelligence. Provides scientific, practical, and methodological approaches based on bio-inspired methods, fuzzy models and algorithms, predictive modelling, computer vision and image processing. The target audience of the book are practitioners, enterprises representatives, scientists, PhD and Master students who perform scientific research or applications of intelligent models and algorithms in cyber-physical systems for various domains.

Cyber-Physical Systems: Industry 4.0 Challenges

Cyber-Physical Systems: Industry 4.0 Challenges PDF Author: Alla G. Kravets
Publisher: Springer Nature
ISBN: 3030326489
Category : Technology & Engineering
Languages : en
Pages : 340

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Book Description
This book presents new findings in industrial cyber-physical system design and control for various domains, as well as their social and economic impacts on society. Industry 4.0 requires new approaches in the context of secure connections, control, and maintenance of cyber-physical systems as well as enhancing their interaction with humans. The book focuses on open issues of cyber-physical system control and its usage, discussing implemented breakthrough systems, models, programs, and methods that could be used in industrial processes for the control, condition assessment, diagnostics, prognostication, and proactive maintenance of cyber-physical systems. Further, it addresses the topic of ensuring the cybersecurity of industrial cyber-physical systems and proposes new, reliable solutions. The authors also examine the impact of university courses on the performance of industrial complexes, and the organization of education for the development of cyber-physical systems. The book is intended for practitioners, enterprise representatives, scientists, students, and Ph.D. and master’s students conducting research in the area of cyber-physical system development and implementation in various domains.

Artificial Cognitive Architecture with Self-Learning and Self-Optimization Capabilities

Artificial Cognitive Architecture with Self-Learning and Self-Optimization Capabilities PDF Author: Gerardo Beruvides
Publisher: Springer
ISBN: 3030039498
Category : Technology & Engineering
Languages : en
Pages : 216

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Book Description
This book introduces three key issues: (i) development of a gradient-free method to enable multi-objective self-optimization; (ii) development of a reinforcement learning strategy to carry out self-learning and finally, (iii) experimental evaluation and validation in two micromachining processes (i.e., micro-milling and micro-drilling). The computational architecture (modular, network and reconfigurable for real-time monitoring and control) takes into account the analysis of different types of sensors, processing strategies and methodologies for extracting behavior patterns from representative process’ signals. The reconfiguration capability and portability of this architecture are supported by two major levels: the cognitive level (core) and the executive level (direct data exchange with the process). At the same time, the architecture includes different operating modes that interact with the process to be monitored and/or controlled. The cognitive level includes three fundamental modes such as modeling, optimization and learning, which are necessary for decision-making (in the form of control signals) and for the real-time experimental characterization of complex processes. In the specific case of the micromachining processes, a series of models based on linear regression, nonlinear regression and artificial intelligence techniques were obtained. On the other hand, the executive level has a constant interaction with the process to be monitored and/or controlled. This level receives the configuration and parameterization from the cognitive level to perform the desired monitoring and control tasks.