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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

Material type
E-Book(소장)
Personal Author
Beyerer, Jürgen. Niggemann, Oliver. Kühnert, Christian.
Title Statement
Machine learning for cyber physical systems [electronic resource] : selected papers from the international conference ML4CPS 2016 / Jürgen Beyerer, Oliver Niggemann, Christian Kühnert, editors.
Publication, Distribution, etc
Berlin :   Springer,   c2017.  
Physical Medium
1 online resource (vii, 72 p.) : ill.
Series Statement
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.
General Note
Title from e-Book title page.  
Content Notes
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.
Bibliography, Etc. Note
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Machine learning --Congresses. Cooperating objects (Computer systems) --Congresses.
Short cut
URL
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007 cr
008 200107s2017 gw a ob 000 0 eng d
020 ▼a 9783662538050
020 ▼a 9783662538067 (e-book)
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090 ▼a 006.31
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)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 006.31 Accession No. E14018526 Availability Loan can not(reference room) Due Date Make a Reservation Service M

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