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Machine Learning for Cyber Physical Systems, J?rgen Beyerer; Christian K?hnert; Oliver Niggeman


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Автор: J?rgen Beyerer; Christian K?hnert; Oliver Niggeman
Название:  Machine Learning for Cyber Physical Systems
ISBN: 9783662584842
Издательство: Springer
Классификация:




ISBN-10: 3662584840
Обложка/Формат: Soft cover
Страницы: 136
Вес: 0.26 кг.
Дата издания: 2019
Серия: Technologien f?r die intelligente Automation
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 25 tables, color; vii, 136 p.
Размер: 244 x 170 x 8
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Подзаголовок: Selected papers from the International Conference ML4CPS 2018
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, October 23-24, 2018. 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.
Дополнительное описание:
Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project.- Deduction of time-dependent machine tool characteristics by fuzzy-clustering.- Unsupervised Anomaly Detection in Production Lines.- A Random Fore



Data Mining. Practical Machine Learning Tools and Techniques, 4 ed.

Автор: Witten, Ian H.
Название: Data Mining. Practical Machine Learning Tools and Techniques, 4 ed.
ISBN: 0128042915 ISBN-13(EAN): 9780128042915
Издательство: Elsevier Science
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Цена: 9262.00 р.
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Описание:

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.

Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.

Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.

It contains

  • Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
  • Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
  • Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.

  • Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
  • Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
  • Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
  • Includes open-access online courses that introduce practical applications of the material in the book
Securing Cyber-Physical Systems

Название: Securing Cyber-Physical Systems
ISBN: 1498700985 ISBN-13(EAN): 9781498700986
Издательство: Taylor&Francis
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Цена: 19140.00 р.
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Описание:

Think about someone taking control of your car while you're driving. Or, someone hacking into a drone and taking control. Both of these things have been done, and both are attacks against cyber-physical systems (CPS). Securing Cyber-Physical Systems explores the cybersecurity needed for CPS, with a focus on results of research and real-world deployment experiences. It addresses CPS across multiple sectors of industry.

CPS emerged from traditional engineered systems in the areas of power and energy, automotive, healthcare, and aerospace. By introducing pervasive communication support in those systems, CPS made the systems more flexible, high-performing, and responsive. In general, these systems are mission-critical--their availability and correct operation is essential. This book focuses on the security of such mission-critical systems.

Securing Cyber-Physical Systems brings together engineering and IT experts who have been dealing separately with these issues. The contributed chapters in this book cover a broad range of CPS security topics, including:

  • Securing modern electrical power systems
  • Using moving target defense (MTD) techniques to secure CPS
  • Securing wireless sensor networks (WSNs) used for critical infrastructures
  • Mechanisms to improve cybersecurity and privacy in transportation CPS
  • Anticipated cyberattacks and defense approaches for next-generation autonomous vehicles
  • Security issues, vulnerabilities, and challenges in the Internet of Things
  • Machine-to-machine (M2M) communication security
  • Security of industrial control systems
  • Designing "trojan-resilient" integrated circuits

While CPS security techniques are constantly evolving, this book captures the latest advancements from many different fields. It should be a valuable resource for both professionals and students working in network, web, computer, or embedded system security.

Vehicular Cyber Physical Systems

Автор: Rawat
Название: Vehicular Cyber Physical Systems
ISBN: 331944493X ISBN-13(EAN): 9783319444932
Издательство: Springer
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Цена: 16769.00 р.
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Описание:

This book provides probabilistic, deterministic and geolocation-aware approaches for adaptive connectivity, robust security and privacy-aware communications for vehicular cyber physical systems (CPS). It presents mathematical models and numerical results obtained from experiments and simulations, and a trade-off between connectivity, security and privacy for vehicular communications.
Connectivity between vehicles is crucial for vehicular CPS. Intelligent vehicular CPS provides not only road safety and traffic efficiency by exchanging information among vehicles, but also offers infotainment services to passengers using a variety of wireless technologies to forward the traffic/trajectory information with Vehicle-to-Vehicle (V2V), vehicular ad hoc network (VANET), and Vehicle-to-Roadside-to-Vehicle (V2R2V) communications.
The book covers how to ensure that the message received from other vehicles is secure and trustworthy, rather than malicious. Further, it reveals how to make sure that the privacy of participants is not revealed while validating the received message. Researchers and professionals working with vehicular networks, smart systems, cyber physical systems, and mobile privacy will find this book valuable.
Cyber Physical Systems Approach to Smart Electric Power Grid

Автор: Siddhartha Kumar Khaitan; James D. McCalley; Chen
Название: Cyber Physical Systems Approach to Smart Electric Power Grid
ISBN: 3662459272 ISBN-13(EAN): 9783662459270
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book documents recent advances in the field of modeling, simulation, control, security and reliability of Cyber- Physical Systems (CPS) in power grids.

Engineering Safe and Secure Cyber-Physical Systems

Автор: Roman Gumzej
Название: Engineering Safe and Secure Cyber-Physical Systems
ISBN: 3319289039 ISBN-13(EAN): 9783319289038
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book introduces the concept of holistic design and development of cyber physical systems to achieve their safe and secure operation. It shows that by following the standards for embedded system`s safety and using appropriate hardware and software components inherently safe system`s architectures can be devised and certified.

Machine Learning for Cyber Physical Systems

Автор: J?rgen Beyerer; Oliver Niggemann; Christian K?hner
Название: Machine Learning for Cyber Physical Systems
ISBN: 3662538059 ISBN-13(EAN): 9783662538050
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, September 29th, 2016. 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.

Machine Learning for Cyber Physical Systems

Автор: Oliver Niggemann; J?rgen Beyerer
Название: Machine Learning for Cyber Physical Systems
ISBN: 3662488361 ISBN-13(EAN): 9783662488362
Издательство: Springer
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Цена: 19591.00 р.
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Описание: Development of a Cyber-Physical System based on selective dynamic Gaussian naive Bayes model for a self-predict laser surface heat treatment processcontrol.- Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor Networks.- Forecasting Cellular Connectivity for Cyber-Physical Systems: A Machine Learning Approach.- Towards Optimized Machine Operations by Cloud Integrated Condition Estimation.- Prognostics Health Management System based on Hybrid Model to Predict Failures of a Planetary Gear Transmission.- Evaluation of Model-Based Condition Monitoring Systems in Industrial Application Cases.- Towards a novel learning assistant for networked automation systems.- Effcient Image Processing System for an Industrial Machine Learning Task.- Efficient engineering in special purpose machinery through automated control code synthesis based on a functional categorisation.- Geo-Distributed Analytics for the Internet of Things.- Implementation and Comparison of Cluster-Based PSO Extensions in Hybrid Settings with Efficient Approximation.- Machine-specifc Approach for Automatic Classifcation of Cutting Process Efficiency.- Meta-analysis of Maintenance Knowledge Assets Towards Predictive Cost Controlling of Cyber Physical Production Systems.- Towards Autonomously Navigating and Cooperating Vehicles in Cyber-Physical Production Systems.

Industrial cloud-based cyber-physical systems

Название: Industrial cloud-based cyber-physical systems
ISBN: 3319056239 ISBN-13(EAN): 9783319056234
Издательство: Springer
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Цена: 16979.00 р.
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Описание: Intro and Vision of IMC-AESOP.- State of the Art.- Envisioned Architecture.- Promising Technologies.- Infrastructure Migration.- Engineering Methods.- Application: Usecase1.- Application: Usecase2.- Application: Usecase3.- Application: Usecase4.- Conclusions and Future Challenges.

Guide to computing fundamentals in cyber-physical systems

Автор: Moller, Dietmar P. F.
Название: Guide to computing fundamentals in cyber-physical systems
ISBN: 3319251767 ISBN-13(EAN): 9783319251769
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book presents an in-depth review of the state of the art of cyber-physical systems (CPS) and their applications. presents a brief overview of the study of systems, and embedded computing systems, before defining CPS;

Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection

Автор: Yves Demazeau; Paul Davidsson; Javier Bajo; Zita V
Название: Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection
ISBN: 3319599291 ISBN-13(EAN): 9783319599298
Издательство: Springer
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Цена: 9083.00 р.
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Описание: The 11 revised full papers, 11 short papers, and 17 Demo papers were carefully reviewed and selected from 63 submissions.

Logical Foundations of Cyber-Physical Systems

Автор: Andr? Platzer
Название: Logical Foundations of Cyber-Physical Systems
ISBN: 3319635875 ISBN-13(EAN): 9783319635873
Издательство: Springer
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Цена: 6288.00 р.
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Описание: Cyberphysical systems (CPSs) combine cyber capabilities, such as computation or communication, with physical capabilities, such as motion or other physical processes.

Machine Learning for Cyber Physical Systems

Автор: J?rgen Beyerer; Alexander Maier; Oliver Niggemann
Название: Machine Learning for Cyber Physical Systems
ISBN: 3662590832 ISBN-13(EAN): 9783662590836
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 25th-26th, 2017. 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.


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