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Industrial Applications of Holonic and Multi-Agent Systems

Overview of attention for book
Cover of 'Industrial Applications of Holonic and Multi-Agent Systems'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Method of Adaptive Cargo Flow Scheduling for ISS RS Based on Multi-agent Technology
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    Chapter 2 Total Setup Time Minimisation in Production Scheduling with Alternatives
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    Chapter 3 Agent-Based Shop Floor Scheduling
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    Chapter 4 Enabling Semantics within Industry 4.0
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    Chapter 5 Semi-automatic Ontology Matching Approach for Integration of Various Data Models in Automotive
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    Chapter 6 Ontology-Based Cooperation in Cyber-Physical Social Systems
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    Chapter 7 Auto-Generation of Distributed Automation Software Based on Formal Product Line Specification
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    Chapter 8 Boolean Network Models of Collective Dynamics of Open and Closed Large-Scale Multi-agent Systems
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    Chapter 9 Slicing Simulation Models into Co-simulations
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    Chapter 10 Simulation-Enhanced Development of Industrial Cyber-Physical Systems Using OPC-UA and IEC 61499
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    Chapter 11 An Agent-Based Approach for the Dynamic and Decentralized Service Reconfiguration in Collaborative Production Scenarios
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    Chapter 12 An Integrated Research Infrastructure for Validating Cyber-Physical Energy Systems
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    Chapter 13 Simulation-Based Validation of Smart Grids – Status Quo and Future Research Trends
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    Chapter 14 Prediction Models for Short-Term Load and Production Forecasting in Smart Electrical Grids
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    Chapter 15 Validating Intelligent Power and Energy Systems – A Discussion of Educational Needs
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    Chapter 16 Conceptual Model of Complex Multi-agent System Smart City 4.0
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    Chapter 17 An Embedded Agent-Based Intelligent Industrial Wireless Sensor Network
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    Chapter 18 Multi-robotic Area Exploration for Environmental Protection
  20. Altmetric Badge
    Chapter 19 Human-in-the-Loop Control Processes in Gas Turbine Maintenance
Attention for Chapter 12: An Integrated Research Infrastructure for Validating Cyber-Physical Energy Systems
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Chapter title
An Integrated Research Infrastructure for Validating Cyber-Physical Energy Systems
Chapter number 12
Book title
Industrial Applications of Holonic and Multi-Agent Systems
Published in
arXiv, October 2017
DOI 10.1007/978-3-319-64635-0_12
Book ISBNs
978-3-31-964634-3, 978-3-31-964635-0
Authors

Thomas I. Strasser, Cyndi Moyo, Roland Bründlinger, Sebastian Lehnhoff, Marita Blank, Peter Palensky, Arjen A. van der Meer, Kai Heussen, Oliver Gehrke, J. Emilio Rodriguez, Julia Merino, Carlo Sandroni, Maurizio Verga, Mihai Calin, Ata Khavari, Maria Sosnina, Erik de Jong, Sebastian Rohjans, Anna Kulmala, Kari Mäki, Ron Brandl, Federico Coffele, Graeme M. Burt, Panos Kotsampopoulos, Nikos Hatziargyriou, T. I. Strasser, C. Moyo, R. Bründlinger, S. Lehnhoff, M. Blank, P. Palensky, A. A. van der Meer, K. Heussen, O. Gehrke, J. E. Rodriguez, J. Merino, C. Sandroni, M. Verga, M. Calin, A. Khavari, M. Sosnina, E. de Jong, S. Rohjans, A. Kulmala, K. Mäki, R. Brandl, F. Coffele, G. M. Burt, P. Kotsampopoulos, N. Hatziargyriou

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 30%
Professor > Associate Professor 4 20%
Student > Doctoral Student 2 10%
Student > Bachelor 2 10%
Student > Ph. D. Student 1 5%
Other 3 15%
Unknown 2 10%
Readers by discipline Count As %
Engineering 8 40%
Computer Science 6 30%
Energy 2 10%
Agricultural and Biological Sciences 1 5%
Economics, Econometrics and Finance 1 5%
Other 0 0%
Unknown 2 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 October 2017.
All research outputs
#18,573,839
of 23,005,189 outputs
Outputs from arXiv
#537,802
of 944,008 outputs
Outputs of similar age
#247,660
of 323,390 outputs
Outputs of similar age from arXiv
#15,820
of 21,187 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 944,008 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 323,390 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21,187 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.