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Machine learning for cyber physical systems [electronic resource] : selected papers from the international conference ML4CPS 2016

Machine learning for cyber physical systems [electronic resource] : selected papers from the international conference ML4CPS 2016

자료유형
E-Book(소장)
개인저자
Beyerer, Jürgen. Niggemann, Oliver. Kühnert, Christian.
서명 / 저자사항
Machine learning for cyber physical systems [electronic resource] : selected papers from the international conference ML4CPS 2016 / Jürgen Beyerer, Oliver Niggemann, Christian Kühnert, editors.
발행사항
Berlin :   Springer,   c2017.  
형태사항
1 online resource (vii, 72 p.) : ill.
총서사항
Technologien für die intelligente Automation, Technologies for Intelligent Automation,2522-8579
ISBN
9783662538050 9783662538067 (e-book)
요약
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. The Editors Prof. Dr.-Ing. Jürgen Beyerer is Professor at the Department for Interactive Real-Time Systems at the Karlsruhe Institute of Technology. In addition he manages the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB. Prof. Dr. Oliver Niggemann is Professor for Embedded Software Engineering. His research interests are in the field of Distributed Real-time Software and in the fields of analysis and diagnosis of distributed systems. He is a board member of the inIT and a senior researcher at the Fraunhofer Application Center Industrial Automation INA located in Lemgo. Dr. Christian Kühnert is a senior researcher at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB. His research interests are in the field of machine-learning, data-fusion and data-driven condition monitoring.
일반주기
Title from e-Book title page.  
내용주기
A Concept for the Application of Reinforcement Learning in the Optimization of CAM-Generated Tool Paths -- Semantic Stream Processing in Dynamic Environments Using Dynamic Stream Selection -- Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment -- A Modular Architecture for Smart Data Analysis using AutomationML, OPC-UA and Data-driven Algorithms -- Cloud-based event detection platform for water distribution networks using machine-learning algorithms -- A Generic Data Fusion and Analysis Platform for Cyber-Physical Systems -- Agent Swarm Optimization: Exploding the search space -- Anomaly Detection in Industrial Networks using Machine Learning.
서지주기
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Machine learning --Congresses. Cooperating objects (Computer systems) --Congresses.
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020 ▼a 9783662538050
020 ▼a 9783662538067 (e-book)
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111 2 ▼a Machine Learning for Cyber Physical Systems (Conference) ▼d (2016 : ▼c Karlsruhe, Germany).
245 1 0 ▼a Machine learning for cyber physical systems ▼h [electronic resource] : ▼b selected papers from the international conference ML4CPS 2016 / ▼c Jürgen Beyerer, Oliver Niggemann, Christian Kühnert, editors.
246 3 0 ▼a ML4CPS 2016
260 ▼a Berlin : ▼b Springer, ▼c c2017.
300 ▼a 1 online resource (vii, 72 p.) : ▼b ill.
490 1 ▼a Technologien für die intelligente Automation, Technologies for Intelligent Automation, ▼x 2522-8579
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
505 0 ▼a A Concept for the Application of Reinforcement Learning in the Optimization of CAM-Generated Tool Paths -- Semantic Stream Processing in Dynamic Environments Using Dynamic Stream Selection -- Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment -- A Modular Architecture for Smart Data Analysis using AutomationML, OPC-UA and Data-driven Algorithms -- Cloud-based event detection platform for water distribution networks using machine-learning algorithms -- A Generic Data Fusion and Analysis Platform for Cyber-Physical Systems -- Agent Swarm Optimization: Exploding the search space -- Anomaly Detection in Industrial Networks using Machine Learning.
520 ▼a 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. The Editors Prof. Dr.-Ing. Jürgen Beyerer is Professor at the Department for Interactive Real-Time Systems at the Karlsruhe Institute of Technology. In addition he manages the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB. Prof. Dr. Oliver Niggemann is Professor for Embedded Software Engineering. His research interests are in the field of Distributed Real-time Software and in the fields of analysis and diagnosis of distributed systems. He is a board member of the inIT and a senior researcher at the Fraunhofer Application Center Industrial Automation INA located in Lemgo. Dr. Christian Kühnert is a senior researcher at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB. His research interests are in the field of machine-learning, data-fusion and data-driven condition monitoring.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Machine learning ▼v Congresses.
650 0 ▼a Cooperating objects (Computer systems) ▼v Congresses.
700 1 ▼a Beyerer, Jürgen.
700 1 ▼a Niggemann, Oliver.
700 1 ▼a Kühnert, Christian.
830 0 ▼a Technologien für die intelligente Automation, Technologies for Intelligent Automation.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=https://doi.org/10.1007/978-3-662-53806-7
911 ▼a ML4CPS (Conference). ▼d (2016 : ▼c Karlsruhe, Germany).
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 006.31 등록번호 E14018526 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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