Organic Computing

Doctoral Dissertation Colloquium 2018

Tomforde, Sven / Sick, Bernhard (Editor)

Mit Beiträgen von Bauer, André / Bieshaar, Maarten / Bromberger, Michael / Calma, Adrian / Dellermann, Dominik / Görlich, Markus / Herkersdorf, Andreas / Knote, Andreas / Kosak, Oliver / Margraf, Andreas / Pilar von Pilchau, Wenzel / Pröll, Sebastian / Sadighi, Armin / Schmitt, Norbert / Schneegans, Jan / Schneegans, Lena Elisa / Schreiber, Jens / Stieber, Simon / von Mammen, Sebastian / von Tüllenburg, Ferdinand / Wächter, Tim / Wild, Thomas

kassel university press, ISBN: 978-3-7376-0696-7, 2019, 256 Pages
(Intelligent Embedded Systems 13)

URN: urn:nbn:de:0002-406973

DOI: 10.19211/KUP9783737606974

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Content: This book presents the results of the OC-DDC 2018. Successful participants have been invited to extend their abstracts submitted to the event towards a full book chapter by taking reviews and feedback received at the event in Wurzburg into account. The participants prepared an initial extended abstract, helped to perform a sophisticated review process, and finally came up with interesting articles summarising their current work in the context of Organic Computing. Hence, the book also gives an overview of corresponding research activities in the field in Germany for the year 2018. The collection of contributions reflects the diversity of the different aspects of Organic Computing. In the following, we outline the contributions contained in this book.

Table of Content

Part I Mastering Complex Systems
Bauer, André:Challenges and Approaches: Forecasting for Autonomic Computing
Görlich, Markus:Predictive Maintenance in Complex Systems
Pröll, Sebastian:Towards an Agent-based Big Data Analytics Microservice System

Part II Machine Learning as Basis for Organic Computing
Schneegans, Jan /
Bieshaar, Maarten:
Smart Device Based Initial Movement Detection of Cyclists Using Convolutional Neural Networks
Stieber, Simon:Transfer Learning for Optimisation of Carbon Fiber Reinforced Polymer Production
Schreiber, Jens:Transfer Learning in the Field of Renewable Energies
Pilar von Pilchau, Wenzel:Combining Machine Learning with Blockchain: Benefits, Approaches and Challenges
Margraf, Andreas:Evolutionary Learning for Processing Pipelines in Image Segmentation and Monitoring Systems

Part III Nature and Social Systems as Inspiration for Organic Computing
Knote, Andreas /
von Mammen, Sebastian:
Interactive Agent-Based Biological Cell Simulations for Morphogenesis
Kosak, Oliver:Multipotent Systems: A New Paradigm for Multi-Robot Applications
Calma, Adrian /
Dellermann, Dominik:
Decision Support with Hybrid Intelligence

Part IV Self-adaptation and Self-learning in Computer Architecture
Schmitt, Norbert:Improving the Energy Efficiency of IoT-Systems and its Software
Sadighi, Armin /
Wild, Thomas /
Herkersdorf, Andreas:
Self-Aware MPSoC Architecture Extensions for Automotive Applications
Bromberger, Michael:Tuning the Computational Effort: An Adaptive Accuracy-aware Approach Across System Layers

Part V Organic Computing in Real-world Applications
Wächter, Tim:Dynamical Evacuation Route System
von Tüllenburg, Ferdinand:Robustness Modeling and Assessment of Interdependent Smart Grids
Schneegans, Lena Elisa:Survey on Urbantraffic Control and Management

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