Industrial Applications of Holonic and Multi-Agent Systems: 8th International Conference, HoloMAS 217, Lyon, France, August 28-3, 217, Proceedings
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing AG
2017
|
| Series: | Lecture Notes in Computer Science Ser.
v.10444 |
| Subjects: | |
| Online Access: | DE-2070s |
| Item Description: | Description based on publisher supplied metadata and other sources |
| Physical Description: | 1 online resource (276 pages) |
| ISBN: | 9783319646350 |
Staff View
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| 505 | 8 | |a Intro -- Preface -- HoloMAS 2017 -- Contents -- Scheduling -- Method of Adaptive Cargo Flow Scheduling for ISS RS Based on Multi-agent Technology -- Abstract -- 1 Introduction -- 2 The Problem of Cargo Flow Scheduling of ISS RS -- 3 Approach to Problem Solution -- 4 Modification of the Method of Conjugate Interactions -- 5 Efficiency Evaluation of the Method of ISS RS Cargo Flow Adaptive Scheduling -- 6 Conclusions -- Acknowledgments -- References -- Total Setup Time Minimisation in Production Scheduling with Alternatives -- 1 Introduction -- 2 Literature Review -- 3 Paper Contribution and Outline -- 4 Problem Statement -- 5 Mathematical Formulation -- 6 Heuristic Algorithm -- 7 Performance Evaluation -- 7.1 Comparison with IRSA Algorithm on Random Instances -- 7.2 Comparison with Algorithm of Focacci -- 8 Conclusion -- References -- Agent-Based Shop Floor Scheduling -- Abstract -- 1 Introduction -- 2 Airbus Use Case -- 3 Basic Scheduler Tasks -- 3.1 Advanced Scheduler Tasks -- 3.2 Scheduling Algorithm in General -- 3.3 Station to Station Problem Resolution -- 3.4 Finding a Solution -- 4 Implementation and Practical Results -- References -- Knowledge Engineering -- Enabling Semantics within Industry 4.0 -- 1 Introduction -- 2 Enabling Semantics within Industry 4.0 -- 2.1 Related Work -- 2.2 Data Models for Triple Store -- 3 Architecture -- 3.1 Semantic Big Data Historian -- 3.2 Data Storage Layer -- 4 Use Case and Results -- 5 Summary and Conclusions -- References -- Semi-automatic Ontology Matching Approach for Integration of Various Data Models in Automotive -- 1 Introduction -- 2 Heterogeneity -- 3 Ontology Matching -- 3.1 Basic Similarity Measures -- 3.2 Similarity Aggregation -- 3.3 Semi-automatic Ontology Matching -- 4 Validation Study -- 4.1 MAPSOM -- 4.2 Data Models Matching -- 5 Discussion -- 6 Conclusions and Future Work -- References | |
| 505 | 8 | |a Ontology-Based Cooperation in Cyber-Physical Social Systems -- Abstract -- 1 Introduction -- 2 Related Research -- 3 Ontology of Cyber-Physical Social System -- 4 Cooperation -- 4.1 Robot-Robot Cooperation -- 4.2 Human-Robot Cooperation -- 5 Conclusion -- Acknowledgments -- References -- Auto-Generation of Distributed Automation Software Based on Formal Product Line Specification -- Abstract -- 1 Introduction -- 2 The Use of Finite Automata for the Specification and Selection of Workpieces Sequences -- 3 Approaches to the Implementation of Selecting Automata on the Basis of Function Blocks -- 4 Automatic Transformation of Automata-Based Specifications to the Structures of Function Block Networks -- 5 Example. Ball Sequences Sorting System -- 6 Method of Translating Automata-Based Specifications to Ball Sequences Sorting System's Control -- 7 Conclusion -- Acknowledgement -- References -- Modeling, Simulation and Reconfiguration -- Boolean Network Models of Collective Dynamics of Open and Closed Large-Scale Multi-agent Systems -- Abstract -- 1 Introduction -- 2 On the Collective Dynamics of Open and Closed Systems -- 2.1 Some Examples of Open and Closed Cyber-Physical Multi-agent Systems -- 3 Preliminaries and Definitions -- 4 Configuration Space Properties and Asymptotic Dynamics of Open and Closed Cyber-Physical and Holonic MAS -- 4.1 Dynamics and Configuration Spaces of Boolean Networks Modeling Closed Distributed Multi-agent Systems -- 4.2 Dynamics of Boolean Networks Modeling Open Multi-agent Systems -- 5 Conclusions -- References -- Slicing Simulation Models into Co-simulations -- 1 Introduction -- 2 Related Work -- 3 Context of the Proposed Approach -- 4 Design of Interfaces for Co-simulation of CPPS -- 4.1 Cuts on the Junction Level -- 4.2 Cuts on the Connection Level -- 4.3 Mechatronic Components -- 5 Hydraulic System Use-Case | |
| 505 | 8 | |a 6 Conclusion and Future Work -- References -- Simulation-Enhanced Development of Industrial Cyber-Physical Systems Using OPC-UA and IEC 61499 -- 1 Introduction -- 2 Overview of the EnAS Testbench -- 3 Simulation and Modelling in CIROS -- 4 Co-simulation -- 4.1 IEC 61499 Control Application -- 4.2 Modular Control Architecture -- 5 Distributed Architecture with Wireless Communication -- 6 Human Machine Interface -- 7 Online Updates -- 8 Results -- 8.1 Overall Equipment Effectiveness (OEE) -- 8.2 Work Cycle Times -- 8.3 Time for N Rounds of Operation -- 8.4 Average Time Between Faults -- 9 Conclusions -- References -- An Agent-Based Approach for the Dynamic and Decentralized Service Reconfiguration in Collaborative Production Scenarios -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Dynamic Multi-agent-Based Service Reconfiguration -- 3.1 Discovering Opportunities and Determining Reconfiguration Solutions in Automatic Manner -- 3.1.1 When to Reconfigure -- 3.1.2 How to Reconfigure -- 3.1.3 Decide Reconfiguration Solution -- 3.2 Decentralized Mechanism for Service Reconfiguration -- 4 Experimental Validation -- 4.1 Description of the Case Study -- 4.2 Experimental Results -- 5 Conclusions and Future Work -- References -- Energy Systems -- An Integrated Research Infrastructure for Validating Cyber-Physical Energy Systems -- 1 Introduction -- 2 Higher Complexity in Cyber-Physical Energy Systems -- 3 Open Issues and Future Research Needs -- 4 ERIGrid Smart Grid Research Infrastructure -- 4.1 Overview and Approach -- 4.2 Research and Development Directions -- 5 Conclusions and Outlook -- References -- Simulation-Based Validation of Smart Grids -- Status Quo and Future Research Trends -- 1 Introduction -- 2 Validation Challenges -- 3 Simulation-Based Validation Approaches -- 3.1 Multi-domain Simulation -- 3.2 Co-simulation | |
| 505 | 8 | |a 3.3 Real-Time Simulation and Hardware-in-the-Loop -- 4 Future Research Needs and Directions -- 4.1 Representative Models and Model Exchange -- 4.2 Co-simulation -- 4.3 Real-Time Simulation and Hardware-in-the-Loop -- 5 Conclusions -- References -- Prediction Models for Short-Term Load and Production Forecasting in Smart Electrical Grids -- 1 Introduction -- 2 Multi-agent System Approach for the Self-sustainable Electrical Microgrids -- 3 Related Work -- 3.1 Prediction Techniques -- 3.2 Application of Forecasting in Smart Grids -- 4 Experimental Case Study -- 4.1 Description of the Case Study -- 4.2 Selection of Prediction Methods to Be Analyzed -- 5 Analysis of Results -- 5.1 Prediction Models for the Energy Demand -- 5.2 Prediction Models for the Energy Production -- 6 Conclusions -- References -- Validating Intelligent Power and Energy Systems -- A Discussion of Educational Needs -- 1 Introduction -- 2 Intelligent Power and Energy Systems -- 2.1 Increased Complexity Trough Multi-domain Solutions -- 2.2 Status Quo in Education and Training -- 3 Learning Needs and Requirements -- 4 Education Possibilities and Corresponding Tools -- 4.1 Classroom Education and Training -- 4.2 Laboratory-Based Training -- 5 Conclusions -- References -- MAS in Various Areas -- Conceptual Model of Complex Multi-agent System Smart City 4.0 -- Abstract -- 1 Introduction -- 2 Smart Cities Concept -- 2.1 Smart Cities Concept Reasoning -- 3 Smart City as a Multi-agent CPS -- 4 Smart City and Adoption of Six Principles Described in Industry 4.0 Concept -- 4.1 Six Principles of Industry 4.0 -- 5 Adoption of Conceptual Model of Industry 4.0 on Smart City - Smart City 4.0 -- 6 Assessment Method of City Smartness -- 7 Conclusion -- Acknowledgment -- References -- An Embedded Agent-Based Intelligent Industrial Wireless Sensor Network -- Abstract -- 1 Introduction -- 2 Background | |
| 505 | 8 | |a 2.1 Industry 4.0 and Cyber-Physical Systems -- 2.2 Industrial Wireless Sensor Networks -- 2.3 Active vs. Passive Sensor Based WSNs -- 2.4 Industrial Agents in Wireless Sensor Networks -- 3 Related Work -- 3.1 Agent Based Wireless Sensor Networks -- 3.2 WSN for Oil and Gas Refineries -- 3.3 Sink Node Embedded, Agent Based WSN for Oil and Gas Refineries -- 4 Embedded Agent WSN Model -- 4.1 Sink Node Management -- 4.2 Embedded Agents for Dynamic Reconfiguration -- 4.3 Wireless Sensor Network Architecture -- 5 Application Specific Example -- 5.1 Embedded Agent Based WSN for Oil and Gas Refineries -- 6 Experiment -- 6.1 Lost Signal Ratio -- 6.2 Statistical Design -- 6.3 Significance of Experiments with Respect to Embedded Agents -- 6.4 Experimental Results -- 7 Conclusion and Future Work -- References -- Multi-robotic Area Exploration for Environmental Protection -- 1 Introduction -- 2 Aerial Mapping -- 2.1 UAV Photogrammetry -- 2.2 Image Acquisition and Processing -- 3 Robot Self-localization -- 4 Robot Navigation -- 5 Radiological Source Localization -- 5.1 Basic Mapping Algorithm -- 5.2 Strong Source Search Algorithm -- 5.3 Experiment Results -- 6 Conclusion -- References -- Human-in-the-Loop Control Processes in Gas Turbine Maintenance -- 1 Introduction -- 2 Related Work -- 3 Technical Architecture -- 4 Use Case -- 4.1 Gas Turbine Maintenance -- 4.2 Implementation -- 5 Maintenance Case Study -- 6 Conclusion and Outlook -- References -- Author Index | |
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| contents | Intro -- Preface -- HoloMAS 2017 -- Contents -- Scheduling -- Method of Adaptive Cargo Flow Scheduling for ISS RS Based on Multi-agent Technology -- Abstract -- 1 Introduction -- 2 The Problem of Cargo Flow Scheduling of ISS RS -- 3 Approach to Problem Solution -- 4 Modification of the Method of Conjugate Interactions -- 5 Efficiency Evaluation of the Method of ISS RS Cargo Flow Adaptive Scheduling -- 6 Conclusions -- Acknowledgments -- References -- Total Setup Time Minimisation in Production Scheduling with Alternatives -- 1 Introduction -- 2 Literature Review -- 3 Paper Contribution and Outline -- 4 Problem Statement -- 5 Mathematical Formulation -- 6 Heuristic Algorithm -- 7 Performance Evaluation -- 7.1 Comparison with IRSA Algorithm on Random Instances -- 7.2 Comparison with Algorithm of Focacci -- 8 Conclusion -- References -- Agent-Based Shop Floor Scheduling -- Abstract -- 1 Introduction -- 2 Airbus Use Case -- 3 Basic Scheduler Tasks -- 3.1 Advanced Scheduler Tasks -- 3.2 Scheduling Algorithm in General -- 3.3 Station to Station Problem Resolution -- 3.4 Finding a Solution -- 4 Implementation and Practical Results -- References -- Knowledge Engineering -- Enabling Semantics within Industry 4.0 -- 1 Introduction -- 2 Enabling Semantics within Industry 4.0 -- 2.1 Related Work -- 2.2 Data Models for Triple Store -- 3 Architecture -- 3.1 Semantic Big Data Historian -- 3.2 Data Storage Layer -- 4 Use Case and Results -- 5 Summary and Conclusions -- References -- Semi-automatic Ontology Matching Approach for Integration of Various Data Models in Automotive -- 1 Introduction -- 2 Heterogeneity -- 3 Ontology Matching -- 3.1 Basic Similarity Measures -- 3.2 Similarity Aggregation -- 3.3 Semi-automatic Ontology Matching -- 4 Validation Study -- 4.1 MAPSOM -- 4.2 Data Models Matching -- 5 Discussion -- 6 Conclusions and Future Work -- References Ontology-Based Cooperation in Cyber-Physical Social Systems -- Abstract -- 1 Introduction -- 2 Related Research -- 3 Ontology of Cyber-Physical Social System -- 4 Cooperation -- 4.1 Robot-Robot Cooperation -- 4.2 Human-Robot Cooperation -- 5 Conclusion -- Acknowledgments -- References -- Auto-Generation of Distributed Automation Software Based on Formal Product Line Specification -- Abstract -- 1 Introduction -- 2 The Use of Finite Automata for the Specification and Selection of Workpieces Sequences -- 3 Approaches to the Implementation of Selecting Automata on the Basis of Function Blocks -- 4 Automatic Transformation of Automata-Based Specifications to the Structures of Function Block Networks -- 5 Example. Ball Sequences Sorting System -- 6 Method of Translating Automata-Based Specifications to Ball Sequences Sorting System's Control -- 7 Conclusion -- Acknowledgement -- References -- Modeling, Simulation and Reconfiguration -- Boolean Network Models of Collective Dynamics of Open and Closed Large-Scale Multi-agent Systems -- Abstract -- 1 Introduction -- 2 On the Collective Dynamics of Open and Closed Systems -- 2.1 Some Examples of Open and Closed Cyber-Physical Multi-agent Systems -- 3 Preliminaries and Definitions -- 4 Configuration Space Properties and Asymptotic Dynamics of Open and Closed Cyber-Physical and Holonic MAS -- 4.1 Dynamics and Configuration Spaces of Boolean Networks Modeling Closed Distributed Multi-agent Systems -- 4.2 Dynamics of Boolean Networks Modeling Open Multi-agent Systems -- 5 Conclusions -- References -- Slicing Simulation Models into Co-simulations -- 1 Introduction -- 2 Related Work -- 3 Context of the Proposed Approach -- 4 Design of Interfaces for Co-simulation of CPPS -- 4.1 Cuts on the Junction Level -- 4.2 Cuts on the Connection Level -- 4.3 Mechatronic Components -- 5 Hydraulic System Use-Case 6 Conclusion and Future Work -- References -- Simulation-Enhanced Development of Industrial Cyber-Physical Systems Using OPC-UA and IEC 61499 -- 1 Introduction -- 2 Overview of the EnAS Testbench -- 3 Simulation and Modelling in CIROS -- 4 Co-simulation -- 4.1 IEC 61499 Control Application -- 4.2 Modular Control Architecture -- 5 Distributed Architecture with Wireless Communication -- 6 Human Machine Interface -- 7 Online Updates -- 8 Results -- 8.1 Overall Equipment Effectiveness (OEE) -- 8.2 Work Cycle Times -- 8.3 Time for N Rounds of Operation -- 8.4 Average Time Between Faults -- 9 Conclusions -- References -- An Agent-Based Approach for the Dynamic and Decentralized Service Reconfiguration in Collaborative Production Scenarios -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Dynamic Multi-agent-Based Service Reconfiguration -- 3.1 Discovering Opportunities and Determining Reconfiguration Solutions in Automatic Manner -- 3.1.1 When to Reconfigure -- 3.1.2 How to Reconfigure -- 3.1.3 Decide Reconfiguration Solution -- 3.2 Decentralized Mechanism for Service Reconfiguration -- 4 Experimental Validation -- 4.1 Description of the Case Study -- 4.2 Experimental Results -- 5 Conclusions and Future Work -- References -- Energy Systems -- An Integrated Research Infrastructure for Validating Cyber-Physical Energy Systems -- 1 Introduction -- 2 Higher Complexity in Cyber-Physical Energy Systems -- 3 Open Issues and Future Research Needs -- 4 ERIGrid Smart Grid Research Infrastructure -- 4.1 Overview and Approach -- 4.2 Research and Development Directions -- 5 Conclusions and Outlook -- References -- Simulation-Based Validation of Smart Grids -- Status Quo and Future Research Trends -- 1 Introduction -- 2 Validation Challenges -- 3 Simulation-Based Validation Approaches -- 3.1 Multi-domain Simulation -- 3.2 Co-simulation 3.3 Real-Time Simulation and Hardware-in-the-Loop -- 4 Future Research Needs and Directions -- 4.1 Representative Models and Model Exchange -- 4.2 Co-simulation -- 4.3 Real-Time Simulation and Hardware-in-the-Loop -- 5 Conclusions -- References -- Prediction Models for Short-Term Load and Production Forecasting in Smart Electrical Grids -- 1 Introduction -- 2 Multi-agent System Approach for the Self-sustainable Electrical Microgrids -- 3 Related Work -- 3.1 Prediction Techniques -- 3.2 Application of Forecasting in Smart Grids -- 4 Experimental Case Study -- 4.1 Description of the Case Study -- 4.2 Selection of Prediction Methods to Be Analyzed -- 5 Analysis of Results -- 5.1 Prediction Models for the Energy Demand -- 5.2 Prediction Models for the Energy Production -- 6 Conclusions -- References -- Validating Intelligent Power and Energy Systems -- A Discussion of Educational Needs -- 1 Introduction -- 2 Intelligent Power and Energy Systems -- 2.1 Increased Complexity Trough Multi-domain Solutions -- 2.2 Status Quo in Education and Training -- 3 Learning Needs and Requirements -- 4 Education Possibilities and Corresponding Tools -- 4.1 Classroom Education and Training -- 4.2 Laboratory-Based Training -- 5 Conclusions -- References -- MAS in Various Areas -- Conceptual Model of Complex Multi-agent System Smart City 4.0 -- Abstract -- 1 Introduction -- 2 Smart Cities Concept -- 2.1 Smart Cities Concept Reasoning -- 3 Smart City as a Multi-agent CPS -- 4 Smart City and Adoption of Six Principles Described in Industry 4.0 Concept -- 4.1 Six Principles of Industry 4.0 -- 5 Adoption of Conceptual Model of Industry 4.0 on Smart City - Smart City 4.0 -- 6 Assessment Method of City Smartness -- 7 Conclusion -- Acknowledgment -- References -- An Embedded Agent-Based Intelligent Industrial Wireless Sensor Network -- Abstract -- 1 Introduction -- 2 Background 2.1 Industry 4.0 and Cyber-Physical Systems -- 2.2 Industrial Wireless Sensor Networks -- 2.3 Active vs. Passive Sensor Based WSNs -- 2.4 Industrial Agents in Wireless Sensor Networks -- 3 Related Work -- 3.1 Agent Based Wireless Sensor Networks -- 3.2 WSN for Oil and Gas Refineries -- 3.3 Sink Node Embedded, Agent Based WSN for Oil and Gas Refineries -- 4 Embedded Agent WSN Model -- 4.1 Sink Node Management -- 4.2 Embedded Agents for Dynamic Reconfiguration -- 4.3 Wireless Sensor Network Architecture -- 5 Application Specific Example -- 5.1 Embedded Agent Based WSN for Oil and Gas Refineries -- 6 Experiment -- 6.1 Lost Signal Ratio -- 6.2 Statistical Design -- 6.3 Significance of Experiments with Respect to Embedded Agents -- 6.4 Experimental Results -- 7 Conclusion and Future Work -- References -- Multi-robotic Area Exploration for Environmental Protection -- 1 Introduction -- 2 Aerial Mapping -- 2.1 UAV Photogrammetry -- 2.2 Image Acquisition and Processing -- 3 Robot Self-localization -- 4 Robot Navigation -- 5 Radiological Source Localization -- 5.1 Basic Mapping Algorithm -- 5.2 Strong Source Search Algorithm -- 5.3 Experiment Results -- 6 Conclusion -- References -- Human-in-the-Loop Control Processes in Gas Turbine Maintenance -- 1 Introduction -- 2 Related Work -- 3 Technical Architecture -- 4 Use Case -- 4.1 Gas Turbine Maintenance -- 4.2 Implementation -- 5 Maintenance Case Study -- 6 Conclusion and Outlook -- References -- Author Index |
| ctrlnum | (ZDB-30-PQE)EBC5592406 (ZDB-30-PAD)EBC5592406 (ZDB-89-EBL)EBL5592406 (OCoLC)1001287312 (DE-599)BVBBV047691753 |
| dewey-full | 670.28499999999997 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 670 - Manufacturing |
| dewey-raw | 670.28499999999997 |
| dewey-search | 670.28499999999997 |
| dewey-sort | 3670.28499999999997 |
| dewey-tens | 670 - Manufacturing |
| discipline | Werkstoffwissenschaften / Fertigungstechnik |
| discipline_str_mv | Informatik Werkstoffwissenschaften / Fertigungstechnik |
| format | Electronic eBook |
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code="a">Ontology-Based Cooperation in Cyber-Physical Social Systems -- Abstract -- 1 Introduction -- 2 Related Research -- 3 Ontology of Cyber-Physical Social System -- 4 Cooperation -- 4.1 Robot-Robot Cooperation -- 4.2 Human-Robot Cooperation -- 5 Conclusion -- Acknowledgments -- References -- Auto-Generation of Distributed Automation Software Based on Formal Product Line Specification -- Abstract -- 1 Introduction -- 2 The Use of Finite Automata for the Specification and Selection of Workpieces Sequences -- 3 Approaches to the Implementation of Selecting Automata on the Basis of Function Blocks -- 4 Automatic Transformation of Automata-Based Specifications to the Structures of Function Block Networks -- 5 Example. Ball Sequences Sorting System -- 6 Method of Translating Automata-Based Specifications to Ball Sequences Sorting System's Control -- 7 Conclusion -- Acknowledgement -- References -- Modeling, Simulation and Reconfiguration -- Boolean Network Models of Collective Dynamics of Open and Closed Large-Scale Multi-agent Systems -- Abstract -- 1 Introduction -- 2 On the Collective Dynamics of Open and Closed Systems -- 2.1 Some Examples of Open and Closed Cyber-Physical Multi-agent Systems -- 3 Preliminaries and Definitions -- 4 Configuration Space Properties and Asymptotic Dynamics of Open and Closed Cyber-Physical and Holonic MAS -- 4.1 Dynamics and Configuration Spaces of Boolean Networks Modeling Closed Distributed Multi-agent Systems -- 4.2 Dynamics of Boolean Networks Modeling Open Multi-agent Systems -- 5 Conclusions -- References -- Slicing Simulation Models into Co-simulations -- 1 Introduction -- 2 Related Work -- 3 Context of the Proposed Approach -- 4 Design of Interfaces for Co-simulation of CPPS -- 4.1 Cuts on the Junction Level -- 4.2 Cuts on the Connection Level -- 4.3 Mechatronic Components -- 5 Hydraulic System Use-Case</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">6 Conclusion and Future Work -- References -- Simulation-Enhanced Development of Industrial Cyber-Physical Systems Using OPC-UA and IEC 61499 -- 1 Introduction -- 2 Overview of the EnAS Testbench -- 3 Simulation and Modelling in CIROS -- 4 Co-simulation -- 4.1 IEC 61499 Control Application -- 4.2 Modular Control Architecture -- 5 Distributed Architecture with Wireless Communication -- 6 Human Machine Interface -- 7 Online Updates -- 8 Results -- 8.1 Overall Equipment Effectiveness (OEE) -- 8.2 Work Cycle Times -- 8.3 Time for N Rounds of Operation -- 8.4 Average Time Between Faults -- 9 Conclusions -- References -- An Agent-Based Approach for the Dynamic and Decentralized Service Reconfiguration in Collaborative Production Scenarios -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Dynamic Multi-agent-Based Service Reconfiguration -- 3.1 Discovering Opportunities and Determining Reconfiguration Solutions in Automatic Manner -- 3.1.1 When to Reconfigure -- 3.1.2 How to Reconfigure -- 3.1.3 Decide Reconfiguration Solution -- 3.2 Decentralized Mechanism for Service Reconfiguration -- 4 Experimental Validation -- 4.1 Description of the Case Study -- 4.2 Experimental Results -- 5 Conclusions and Future Work -- References -- Energy Systems -- An Integrated Research Infrastructure for Validating Cyber-Physical Energy Systems -- 1 Introduction -- 2 Higher Complexity in Cyber-Physical Energy Systems -- 3 Open Issues and Future Research Needs -- 4 ERIGrid Smart Grid Research Infrastructure -- 4.1 Overview and Approach -- 4.2 Research and Development Directions -- 5 Conclusions and Outlook -- References -- Simulation-Based Validation of Smart Grids -- Status Quo and Future Research Trends -- 1 Introduction -- 2 Validation Challenges -- 3 Simulation-Based Validation Approaches -- 3.1 Multi-domain Simulation -- 3.2 Co-simulation</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3.3 Real-Time Simulation and Hardware-in-the-Loop -- 4 Future Research Needs and Directions -- 4.1 Representative Models and Model Exchange -- 4.2 Co-simulation -- 4.3 Real-Time Simulation and Hardware-in-the-Loop -- 5 Conclusions -- References -- Prediction Models for Short-Term Load and Production Forecasting in Smart Electrical Grids -- 1 Introduction -- 2 Multi-agent System Approach for the Self-sustainable Electrical Microgrids -- 3 Related Work -- 3.1 Prediction Techniques -- 3.2 Application of Forecasting in Smart Grids -- 4 Experimental Case Study -- 4.1 Description of the Case Study -- 4.2 Selection of Prediction Methods to Be Analyzed -- 5 Analysis of Results -- 5.1 Prediction Models for the Energy Demand -- 5.2 Prediction Models for the Energy Production -- 6 Conclusions -- References -- Validating Intelligent Power and Energy Systems -- A Discussion of Educational Needs -- 1 Introduction -- 2 Intelligent Power and Energy Systems -- 2.1 Increased Complexity Trough Multi-domain Solutions -- 2.2 Status Quo in Education and Training -- 3 Learning Needs and Requirements -- 4 Education Possibilities and Corresponding Tools -- 4.1 Classroom Education and Training -- 4.2 Laboratory-Based Training -- 5 Conclusions -- References -- MAS in Various Areas -- Conceptual Model of Complex Multi-agent System Smart City 4.0 -- Abstract -- 1 Introduction -- 2 Smart Cities Concept -- 2.1 Smart Cities Concept Reasoning -- 3 Smart City as a Multi-agent CPS -- 4 Smart City and Adoption of Six Principles Described in Industry 4.0 Concept -- 4.1 Six Principles of Industry 4.0 -- 5 Adoption of Conceptual Model of Industry 4.0 on Smart City - Smart City 4.0 -- 6 Assessment Method of City Smartness -- 7 Conclusion -- Acknowledgment -- References -- An Embedded Agent-Based Intelligent Industrial Wireless Sensor Network -- Abstract -- 1 Introduction -- 2 Background</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">2.1 Industry 4.0 and Cyber-Physical Systems -- 2.2 Industrial Wireless Sensor Networks -- 2.3 Active vs. Passive Sensor Based WSNs -- 2.4 Industrial Agents in Wireless Sensor Networks -- 3 Related Work -- 3.1 Agent Based Wireless Sensor Networks -- 3.2 WSN for Oil and Gas Refineries -- 3.3 Sink Node Embedded, Agent Based WSN for Oil and Gas Refineries -- 4 Embedded Agent WSN Model -- 4.1 Sink Node Management -- 4.2 Embedded Agents for Dynamic Reconfiguration -- 4.3 Wireless Sensor Network Architecture -- 5 Application Specific Example -- 5.1 Embedded Agent Based WSN for Oil and Gas Refineries -- 6 Experiment -- 6.1 Lost Signal Ratio -- 6.2 Statistical Design -- 6.3 Significance of Experiments with Respect to Embedded Agents -- 6.4 Experimental Results -- 7 Conclusion and Future Work -- References -- Multi-robotic Area Exploration for Environmental Protection -- 1 Introduction -- 2 Aerial Mapping -- 2.1 UAV Photogrammetry -- 2.2 Image Acquisition and Processing -- 3 Robot Self-localization -- 4 Robot Navigation -- 5 Radiological Source Localization -- 5.1 Basic Mapping Algorithm -- 5.2 Strong Source Search Algorithm -- 5.3 Experiment Results -- 6 Conclusion -- References -- Human-in-the-Loop Control Processes in Gas Turbine Maintenance -- 1 Introduction -- 2 Related Work -- 3 Technical Architecture -- 4 Use Case -- 4.1 Gas Turbine Maintenance -- 4.2 Implementation -- 5 Maintenance Case Study -- 6 Conclusion and Outlook -- References -- Author Index</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer integrated manufacturing systems-Congresses</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">HMS</subfield><subfield code="g">Fertigung</subfield><subfield code="0">(DE-588)4679032-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Mehragentensystem</subfield><subfield code="0">(DE-588)4389058-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">CAM</subfield><subfield code="0">(DE-588)4069816-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">CAM</subfield><subfield code="0">(DE-588)4069816-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">HMS</subfield><subfield code="g">Fertigung</subfield><subfield code="0">(DE-588)4679032-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Mehragentensystem</subfield><subfield code="0">(DE-588)4389058-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wahlster, Wolfgang</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wahlster, Wolfgang</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kadera, Petr</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Mařík, Vladimír</subfield><subfield code="t">Industrial Applications of Holonic and Multi-Agent Systems</subfield><subfield code="d">Cham : Springer International Publishing AG,c2017</subfield><subfield code="z">9783319646343</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033075746</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/hwr/detail.action?docID=5592406</subfield><subfield code="l">DE-2070s</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">HWR_PDA_PQE</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| genre | (DE-588)1071861417 Konferenzschrift gnd-content |
| genre_facet | Konferenzschrift |
| id | DE-604.BV047691753 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:57:25Z |
| indexdate | 2025-01-10T15:21:33Z |
| institution | BVB |
| isbn | 9783319646350 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033075746 |
| oclc_num | 1001287312 |
| open_access_boolean | |
| owner | DE-2070s |
| owner_facet | DE-2070s |
| physical | 1 online resource (276 pages) |
| psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Springer International Publishing AG |
| record_format | marc |
| series2 | Lecture Notes in Computer Science Ser. |
| spelling | Mařík, Vladimír Verfasser aut Industrial Applications of Holonic and Multi-Agent Systems 8th International Conference, HoloMAS 217, Lyon, France, August 28-3, 217, Proceedings Cham Springer International Publishing AG 2017 ©2017 1 online resource (276 pages) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Computer Science Ser. v.10444 Description based on publisher supplied metadata and other sources Intro -- Preface -- HoloMAS 2017 -- Contents -- Scheduling -- Method of Adaptive Cargo Flow Scheduling for ISS RS Based on Multi-agent Technology -- Abstract -- 1 Introduction -- 2 The Problem of Cargo Flow Scheduling of ISS RS -- 3 Approach to Problem Solution -- 4 Modification of the Method of Conjugate Interactions -- 5 Efficiency Evaluation of the Method of ISS RS Cargo Flow Adaptive Scheduling -- 6 Conclusions -- Acknowledgments -- References -- Total Setup Time Minimisation in Production Scheduling with Alternatives -- 1 Introduction -- 2 Literature Review -- 3 Paper Contribution and Outline -- 4 Problem Statement -- 5 Mathematical Formulation -- 6 Heuristic Algorithm -- 7 Performance Evaluation -- 7.1 Comparison with IRSA Algorithm on Random Instances -- 7.2 Comparison with Algorithm of Focacci -- 8 Conclusion -- References -- Agent-Based Shop Floor Scheduling -- Abstract -- 1 Introduction -- 2 Airbus Use Case -- 3 Basic Scheduler Tasks -- 3.1 Advanced Scheduler Tasks -- 3.2 Scheduling Algorithm in General -- 3.3 Station to Station Problem Resolution -- 3.4 Finding a Solution -- 4 Implementation and Practical Results -- References -- Knowledge Engineering -- Enabling Semantics within Industry 4.0 -- 1 Introduction -- 2 Enabling Semantics within Industry 4.0 -- 2.1 Related Work -- 2.2 Data Models for Triple Store -- 3 Architecture -- 3.1 Semantic Big Data Historian -- 3.2 Data Storage Layer -- 4 Use Case and Results -- 5 Summary and Conclusions -- References -- Semi-automatic Ontology Matching Approach for Integration of Various Data Models in Automotive -- 1 Introduction -- 2 Heterogeneity -- 3 Ontology Matching -- 3.1 Basic Similarity Measures -- 3.2 Similarity Aggregation -- 3.3 Semi-automatic Ontology Matching -- 4 Validation Study -- 4.1 MAPSOM -- 4.2 Data Models Matching -- 5 Discussion -- 6 Conclusions and Future Work -- References Ontology-Based Cooperation in Cyber-Physical Social Systems -- Abstract -- 1 Introduction -- 2 Related Research -- 3 Ontology of Cyber-Physical Social System -- 4 Cooperation -- 4.1 Robot-Robot Cooperation -- 4.2 Human-Robot Cooperation -- 5 Conclusion -- Acknowledgments -- References -- Auto-Generation of Distributed Automation Software Based on Formal Product Line Specification -- Abstract -- 1 Introduction -- 2 The Use of Finite Automata for the Specification and Selection of Workpieces Sequences -- 3 Approaches to the Implementation of Selecting Automata on the Basis of Function Blocks -- 4 Automatic Transformation of Automata-Based Specifications to the Structures of Function Block Networks -- 5 Example. Ball Sequences Sorting System -- 6 Method of Translating Automata-Based Specifications to Ball Sequences Sorting System's Control -- 7 Conclusion -- Acknowledgement -- References -- Modeling, Simulation and Reconfiguration -- Boolean Network Models of Collective Dynamics of Open and Closed Large-Scale Multi-agent Systems -- Abstract -- 1 Introduction -- 2 On the Collective Dynamics of Open and Closed Systems -- 2.1 Some Examples of Open and Closed Cyber-Physical Multi-agent Systems -- 3 Preliminaries and Definitions -- 4 Configuration Space Properties and Asymptotic Dynamics of Open and Closed Cyber-Physical and Holonic MAS -- 4.1 Dynamics and Configuration Spaces of Boolean Networks Modeling Closed Distributed Multi-agent Systems -- 4.2 Dynamics of Boolean Networks Modeling Open Multi-agent Systems -- 5 Conclusions -- References -- Slicing Simulation Models into Co-simulations -- 1 Introduction -- 2 Related Work -- 3 Context of the Proposed Approach -- 4 Design of Interfaces for Co-simulation of CPPS -- 4.1 Cuts on the Junction Level -- 4.2 Cuts on the Connection Level -- 4.3 Mechatronic Components -- 5 Hydraulic System Use-Case 6 Conclusion and Future Work -- References -- Simulation-Enhanced Development of Industrial Cyber-Physical Systems Using OPC-UA and IEC 61499 -- 1 Introduction -- 2 Overview of the EnAS Testbench -- 3 Simulation and Modelling in CIROS -- 4 Co-simulation -- 4.1 IEC 61499 Control Application -- 4.2 Modular Control Architecture -- 5 Distributed Architecture with Wireless Communication -- 6 Human Machine Interface -- 7 Online Updates -- 8 Results -- 8.1 Overall Equipment Effectiveness (OEE) -- 8.2 Work Cycle Times -- 8.3 Time for N Rounds of Operation -- 8.4 Average Time Between Faults -- 9 Conclusions -- References -- An Agent-Based Approach for the Dynamic and Decentralized Service Reconfiguration in Collaborative Production Scenarios -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Dynamic Multi-agent-Based Service Reconfiguration -- 3.1 Discovering Opportunities and Determining Reconfiguration Solutions in Automatic Manner -- 3.1.1 When to Reconfigure -- 3.1.2 How to Reconfigure -- 3.1.3 Decide Reconfiguration Solution -- 3.2 Decentralized Mechanism for Service Reconfiguration -- 4 Experimental Validation -- 4.1 Description of the Case Study -- 4.2 Experimental Results -- 5 Conclusions and Future Work -- References -- Energy Systems -- An Integrated Research Infrastructure for Validating Cyber-Physical Energy Systems -- 1 Introduction -- 2 Higher Complexity in Cyber-Physical Energy Systems -- 3 Open Issues and Future Research Needs -- 4 ERIGrid Smart Grid Research Infrastructure -- 4.1 Overview and Approach -- 4.2 Research and Development Directions -- 5 Conclusions and Outlook -- References -- Simulation-Based Validation of Smart Grids -- Status Quo and Future Research Trends -- 1 Introduction -- 2 Validation Challenges -- 3 Simulation-Based Validation Approaches -- 3.1 Multi-domain Simulation -- 3.2 Co-simulation 3.3 Real-Time Simulation and Hardware-in-the-Loop -- 4 Future Research Needs and Directions -- 4.1 Representative Models and Model Exchange -- 4.2 Co-simulation -- 4.3 Real-Time Simulation and Hardware-in-the-Loop -- 5 Conclusions -- References -- Prediction Models for Short-Term Load and Production Forecasting in Smart Electrical Grids -- 1 Introduction -- 2 Multi-agent System Approach for the Self-sustainable Electrical Microgrids -- 3 Related Work -- 3.1 Prediction Techniques -- 3.2 Application of Forecasting in Smart Grids -- 4 Experimental Case Study -- 4.1 Description of the Case Study -- 4.2 Selection of Prediction Methods to Be Analyzed -- 5 Analysis of Results -- 5.1 Prediction Models for the Energy Demand -- 5.2 Prediction Models for the Energy Production -- 6 Conclusions -- References -- Validating Intelligent Power and Energy Systems -- A Discussion of Educational Needs -- 1 Introduction -- 2 Intelligent Power and Energy Systems -- 2.1 Increased Complexity Trough Multi-domain Solutions -- 2.2 Status Quo in Education and Training -- 3 Learning Needs and Requirements -- 4 Education Possibilities and Corresponding Tools -- 4.1 Classroom Education and Training -- 4.2 Laboratory-Based Training -- 5 Conclusions -- References -- MAS in Various Areas -- Conceptual Model of Complex Multi-agent System Smart City 4.0 -- Abstract -- 1 Introduction -- 2 Smart Cities Concept -- 2.1 Smart Cities Concept Reasoning -- 3 Smart City as a Multi-agent CPS -- 4 Smart City and Adoption of Six Principles Described in Industry 4.0 Concept -- 4.1 Six Principles of Industry 4.0 -- 5 Adoption of Conceptual Model of Industry 4.0 on Smart City - Smart City 4.0 -- 6 Assessment Method of City Smartness -- 7 Conclusion -- Acknowledgment -- References -- An Embedded Agent-Based Intelligent Industrial Wireless Sensor Network -- Abstract -- 1 Introduction -- 2 Background 2.1 Industry 4.0 and Cyber-Physical Systems -- 2.2 Industrial Wireless Sensor Networks -- 2.3 Active vs. Passive Sensor Based WSNs -- 2.4 Industrial Agents in Wireless Sensor Networks -- 3 Related Work -- 3.1 Agent Based Wireless Sensor Networks -- 3.2 WSN for Oil and Gas Refineries -- 3.3 Sink Node Embedded, Agent Based WSN for Oil and Gas Refineries -- 4 Embedded Agent WSN Model -- 4.1 Sink Node Management -- 4.2 Embedded Agents for Dynamic Reconfiguration -- 4.3 Wireless Sensor Network Architecture -- 5 Application Specific Example -- 5.1 Embedded Agent Based WSN for Oil and Gas Refineries -- 6 Experiment -- 6.1 Lost Signal Ratio -- 6.2 Statistical Design -- 6.3 Significance of Experiments with Respect to Embedded Agents -- 6.4 Experimental Results -- 7 Conclusion and Future Work -- References -- Multi-robotic Area Exploration for Environmental Protection -- 1 Introduction -- 2 Aerial Mapping -- 2.1 UAV Photogrammetry -- 2.2 Image Acquisition and Processing -- 3 Robot Self-localization -- 4 Robot Navigation -- 5 Radiological Source Localization -- 5.1 Basic Mapping Algorithm -- 5.2 Strong Source Search Algorithm -- 5.3 Experiment Results -- 6 Conclusion -- References -- Human-in-the-Loop Control Processes in Gas Turbine Maintenance -- 1 Introduction -- 2 Related Work -- 3 Technical Architecture -- 4 Use Case -- 4.1 Gas Turbine Maintenance -- 4.2 Implementation -- 5 Maintenance Case Study -- 6 Conclusion and Outlook -- References -- Author Index Computer integrated manufacturing systems-Congresses HMS Fertigung (DE-588)4679032-9 gnd rswk-swf Mehragentensystem (DE-588)4389058-1 gnd rswk-swf CAM (DE-588)4069816-6 gnd rswk-swf (DE-588)1071861417 Konferenzschrift gnd-content CAM (DE-588)4069816-6 s HMS Fertigung (DE-588)4679032-9 s Mehragentensystem (DE-588)4389058-1 s DE-604 Wahlster, Wolfgang Sonstige oth Kadera, Petr Sonstige oth Erscheint auch als Druck-Ausgabe Mařík, Vladimír Industrial Applications of Holonic and Multi-Agent Systems Cham : Springer International Publishing AG,c2017 9783319646343 |
| spellingShingle | Mařík, Vladimír Industrial Applications of Holonic and Multi-Agent Systems 8th International Conference, HoloMAS 217, Lyon, France, August 28-3, 217, Proceedings Intro -- Preface -- HoloMAS 2017 -- Contents -- Scheduling -- Method of Adaptive Cargo Flow Scheduling for ISS RS Based on Multi-agent Technology -- Abstract -- 1 Introduction -- 2 The Problem of Cargo Flow Scheduling of ISS RS -- 3 Approach to Problem Solution -- 4 Modification of the Method of Conjugate Interactions -- 5 Efficiency Evaluation of the Method of ISS RS Cargo Flow Adaptive Scheduling -- 6 Conclusions -- Acknowledgments -- References -- Total Setup Time Minimisation in Production Scheduling with Alternatives -- 1 Introduction -- 2 Literature Review -- 3 Paper Contribution and Outline -- 4 Problem Statement -- 5 Mathematical Formulation -- 6 Heuristic Algorithm -- 7 Performance Evaluation -- 7.1 Comparison with IRSA Algorithm on Random Instances -- 7.2 Comparison with Algorithm of Focacci -- 8 Conclusion -- References -- Agent-Based Shop Floor Scheduling -- Abstract -- 1 Introduction -- 2 Airbus Use Case -- 3 Basic Scheduler Tasks -- 3.1 Advanced Scheduler Tasks -- 3.2 Scheduling Algorithm in General -- 3.3 Station to Station Problem Resolution -- 3.4 Finding a Solution -- 4 Implementation and Practical Results -- References -- Knowledge Engineering -- Enabling Semantics within Industry 4.0 -- 1 Introduction -- 2 Enabling Semantics within Industry 4.0 -- 2.1 Related Work -- 2.2 Data Models for Triple Store -- 3 Architecture -- 3.1 Semantic Big Data Historian -- 3.2 Data Storage Layer -- 4 Use Case and Results -- 5 Summary and Conclusions -- References -- Semi-automatic Ontology Matching Approach for Integration of Various Data Models in Automotive -- 1 Introduction -- 2 Heterogeneity -- 3 Ontology Matching -- 3.1 Basic Similarity Measures -- 3.2 Similarity Aggregation -- 3.3 Semi-automatic Ontology Matching -- 4 Validation Study -- 4.1 MAPSOM -- 4.2 Data Models Matching -- 5 Discussion -- 6 Conclusions and Future Work -- References Ontology-Based Cooperation in Cyber-Physical Social Systems -- Abstract -- 1 Introduction -- 2 Related Research -- 3 Ontology of Cyber-Physical Social System -- 4 Cooperation -- 4.1 Robot-Robot Cooperation -- 4.2 Human-Robot Cooperation -- 5 Conclusion -- Acknowledgments -- References -- Auto-Generation of Distributed Automation Software Based on Formal Product Line Specification -- Abstract -- 1 Introduction -- 2 The Use of Finite Automata for the Specification and Selection of Workpieces Sequences -- 3 Approaches to the Implementation of Selecting Automata on the Basis of Function Blocks -- 4 Automatic Transformation of Automata-Based Specifications to the Structures of Function Block Networks -- 5 Example. Ball Sequences Sorting System -- 6 Method of Translating Automata-Based Specifications to Ball Sequences Sorting System's Control -- 7 Conclusion -- Acknowledgement -- References -- Modeling, Simulation and Reconfiguration -- Boolean Network Models of Collective Dynamics of Open and Closed Large-Scale Multi-agent Systems -- Abstract -- 1 Introduction -- 2 On the Collective Dynamics of Open and Closed Systems -- 2.1 Some Examples of Open and Closed Cyber-Physical Multi-agent Systems -- 3 Preliminaries and Definitions -- 4 Configuration Space Properties and Asymptotic Dynamics of Open and Closed Cyber-Physical and Holonic MAS -- 4.1 Dynamics and Configuration Spaces of Boolean Networks Modeling Closed Distributed Multi-agent Systems -- 4.2 Dynamics of Boolean Networks Modeling Open Multi-agent Systems -- 5 Conclusions -- References -- Slicing Simulation Models into Co-simulations -- 1 Introduction -- 2 Related Work -- 3 Context of the Proposed Approach -- 4 Design of Interfaces for Co-simulation of CPPS -- 4.1 Cuts on the Junction Level -- 4.2 Cuts on the Connection Level -- 4.3 Mechatronic Components -- 5 Hydraulic System Use-Case 6 Conclusion and Future Work -- References -- Simulation-Enhanced Development of Industrial Cyber-Physical Systems Using OPC-UA and IEC 61499 -- 1 Introduction -- 2 Overview of the EnAS Testbench -- 3 Simulation and Modelling in CIROS -- 4 Co-simulation -- 4.1 IEC 61499 Control Application -- 4.2 Modular Control Architecture -- 5 Distributed Architecture with Wireless Communication -- 6 Human Machine Interface -- 7 Online Updates -- 8 Results -- 8.1 Overall Equipment Effectiveness (OEE) -- 8.2 Work Cycle Times -- 8.3 Time for N Rounds of Operation -- 8.4 Average Time Between Faults -- 9 Conclusions -- References -- An Agent-Based Approach for the Dynamic and Decentralized Service Reconfiguration in Collaborative Production Scenarios -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Dynamic Multi-agent-Based Service Reconfiguration -- 3.1 Discovering Opportunities and Determining Reconfiguration Solutions in Automatic Manner -- 3.1.1 When to Reconfigure -- 3.1.2 How to Reconfigure -- 3.1.3 Decide Reconfiguration Solution -- 3.2 Decentralized Mechanism for Service Reconfiguration -- 4 Experimental Validation -- 4.1 Description of the Case Study -- 4.2 Experimental Results -- 5 Conclusions and Future Work -- References -- Energy Systems -- An Integrated Research Infrastructure for Validating Cyber-Physical Energy Systems -- 1 Introduction -- 2 Higher Complexity in Cyber-Physical Energy Systems -- 3 Open Issues and Future Research Needs -- 4 ERIGrid Smart Grid Research Infrastructure -- 4.1 Overview and Approach -- 4.2 Research and Development Directions -- 5 Conclusions and Outlook -- References -- Simulation-Based Validation of Smart Grids -- Status Quo and Future Research Trends -- 1 Introduction -- 2 Validation Challenges -- 3 Simulation-Based Validation Approaches -- 3.1 Multi-domain Simulation -- 3.2 Co-simulation 3.3 Real-Time Simulation and Hardware-in-the-Loop -- 4 Future Research Needs and Directions -- 4.1 Representative Models and Model Exchange -- 4.2 Co-simulation -- 4.3 Real-Time Simulation and Hardware-in-the-Loop -- 5 Conclusions -- References -- Prediction Models for Short-Term Load and Production Forecasting in Smart Electrical Grids -- 1 Introduction -- 2 Multi-agent System Approach for the Self-sustainable Electrical Microgrids -- 3 Related Work -- 3.1 Prediction Techniques -- 3.2 Application of Forecasting in Smart Grids -- 4 Experimental Case Study -- 4.1 Description of the Case Study -- 4.2 Selection of Prediction Methods to Be Analyzed -- 5 Analysis of Results -- 5.1 Prediction Models for the Energy Demand -- 5.2 Prediction Models for the Energy Production -- 6 Conclusions -- References -- Validating Intelligent Power and Energy Systems -- A Discussion of Educational Needs -- 1 Introduction -- 2 Intelligent Power and Energy Systems -- 2.1 Increased Complexity Trough Multi-domain Solutions -- 2.2 Status Quo in Education and Training -- 3 Learning Needs and Requirements -- 4 Education Possibilities and Corresponding Tools -- 4.1 Classroom Education and Training -- 4.2 Laboratory-Based Training -- 5 Conclusions -- References -- MAS in Various Areas -- Conceptual Model of Complex Multi-agent System Smart City 4.0 -- Abstract -- 1 Introduction -- 2 Smart Cities Concept -- 2.1 Smart Cities Concept Reasoning -- 3 Smart City as a Multi-agent CPS -- 4 Smart City and Adoption of Six Principles Described in Industry 4.0 Concept -- 4.1 Six Principles of Industry 4.0 -- 5 Adoption of Conceptual Model of Industry 4.0 on Smart City - Smart City 4.0 -- 6 Assessment Method of City Smartness -- 7 Conclusion -- Acknowledgment -- References -- An Embedded Agent-Based Intelligent Industrial Wireless Sensor Network -- Abstract -- 1 Introduction -- 2 Background 2.1 Industry 4.0 and Cyber-Physical Systems -- 2.2 Industrial Wireless Sensor Networks -- 2.3 Active vs. Passive Sensor Based WSNs -- 2.4 Industrial Agents in Wireless Sensor Networks -- 3 Related Work -- 3.1 Agent Based Wireless Sensor Networks -- 3.2 WSN for Oil and Gas Refineries -- 3.3 Sink Node Embedded, Agent Based WSN for Oil and Gas Refineries -- 4 Embedded Agent WSN Model -- 4.1 Sink Node Management -- 4.2 Embedded Agents for Dynamic Reconfiguration -- 4.3 Wireless Sensor Network Architecture -- 5 Application Specific Example -- 5.1 Embedded Agent Based WSN for Oil and Gas Refineries -- 6 Experiment -- 6.1 Lost Signal Ratio -- 6.2 Statistical Design -- 6.3 Significance of Experiments with Respect to Embedded Agents -- 6.4 Experimental Results -- 7 Conclusion and Future Work -- References -- Multi-robotic Area Exploration for Environmental Protection -- 1 Introduction -- 2 Aerial Mapping -- 2.1 UAV Photogrammetry -- 2.2 Image Acquisition and Processing -- 3 Robot Self-localization -- 4 Robot Navigation -- 5 Radiological Source Localization -- 5.1 Basic Mapping Algorithm -- 5.2 Strong Source Search Algorithm -- 5.3 Experiment Results -- 6 Conclusion -- References -- Human-in-the-Loop Control Processes in Gas Turbine Maintenance -- 1 Introduction -- 2 Related Work -- 3 Technical Architecture -- 4 Use Case -- 4.1 Gas Turbine Maintenance -- 4.2 Implementation -- 5 Maintenance Case Study -- 6 Conclusion and Outlook -- References -- Author Index Computer integrated manufacturing systems-Congresses HMS Fertigung (DE-588)4679032-9 gnd Mehragentensystem (DE-588)4389058-1 gnd CAM (DE-588)4069816-6 gnd |
| subject_GND | (DE-588)4679032-9 (DE-588)4389058-1 (DE-588)4069816-6 (DE-588)1071861417 |
| title | Industrial Applications of Holonic and Multi-Agent Systems 8th International Conference, HoloMAS 217, Lyon, France, August 28-3, 217, Proceedings |
| title_auth | Industrial Applications of Holonic and Multi-Agent Systems 8th International Conference, HoloMAS 217, Lyon, France, August 28-3, 217, Proceedings |
| title_exact_search | Industrial Applications of Holonic and Multi-Agent Systems 8th International Conference, HoloMAS 217, Lyon, France, August 28-3, 217, Proceedings |
| title_exact_search_txtP | Industrial Applications of Holonic and Multi-Agent Systems 8th International Conference, HoloMAS 217, Lyon, France, August 28-3, 217, Proceedings |
| title_full | Industrial Applications of Holonic and Multi-Agent Systems 8th International Conference, HoloMAS 217, Lyon, France, August 28-3, 217, Proceedings |
| title_fullStr | Industrial Applications of Holonic and Multi-Agent Systems 8th International Conference, HoloMAS 217, Lyon, France, August 28-3, 217, Proceedings |
| title_full_unstemmed | Industrial Applications of Holonic and Multi-Agent Systems 8th International Conference, HoloMAS 217, Lyon, France, August 28-3, 217, Proceedings |
| title_short | Industrial Applications of Holonic and Multi-Agent Systems |
| title_sort | industrial applications of holonic and multi agent systems 8th international conference holomas 217 lyon france august 28 3 217 proceedings |
| title_sub | 8th International Conference, HoloMAS 217, Lyon, France, August 28-3, 217, Proceedings |
| topic | Computer integrated manufacturing systems-Congresses HMS Fertigung (DE-588)4679032-9 gnd Mehragentensystem (DE-588)4389058-1 gnd CAM (DE-588)4069816-6 gnd |
| topic_facet | Computer integrated manufacturing systems-Congresses HMS Fertigung Mehragentensystem CAM Konferenzschrift |
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