9th International Conference on Computational Collective Intelligence
ICCCI will be held in Nicosia, Cyprus, 27 - 29 September 2017
During the International Conference research results will be presented under the AutoUniMo Project on the CPSiA 2017: Special Session on Cyber Physical Systems in Automotive Area.
CPSiA Special Session organizers: Markus Bregulla, Rafał Cupek, Hueseyin Erdogan, Daniel Grossman and Adam Ziębiński.
The program of the ICCCI conference.
The agenda for three parts of our special session is below:
Thursday, 28 September
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16:40 – 18:00
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CPSiA-1: Cyber Physical Systems in Automotive Area-1
Chair: Prof. Markus Bregulla, Germany, Dr. Adam Ziębiński, Poland
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Model of a production stand used for digital factory purposes
Markus Bregulla, Sebastian Schrittenloher, Jakub Piekarz and Marek Drewniak
Improving the engineering process in the automotive field through AutomationML
Markus Bregulla and Flavian Meltzer
Feasibility Study of the application of OPC UA Protocol for the Vehicle-to-Vehicle Communication
Rafal Cupek, Adam Ziebinski, Marek Drewniak and Marcin Fojcik
Application of OPC UA Protocol for the Internet of Vehicles
Rafal Cupek, Adam Ziebinski, Marek Drewniak and Marcin Fojcik
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Friday, 29 September 2017
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08:00 – 09:00
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CPSiA-2: Cyber Physical Systems in Automotive Area-2
Chair: Prof. Markus Bregulla, Germany, Dr. Adam Ziębiński, Poland
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Monitoring and controlling speed for an autonomous mobile platform based on the Hall sensor
Marcin Fojcik, Adam Ziebinski, Markus Bregulla and Sebastian Klak
Obstacle avoidance by a mobile platform using an ultrasound sensor
Adam Ziebinski, Rafal Cupek and Marek Nalepa
ADAS device operated on CAN bus using PiCAN module for Raspberry Pi
Marek Drewniak, Krzysztof Tokarz and Michał Rędziński
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09:00 – 10:00
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CPSiA-3: Cyber Physical Systems in Automotive Area-3
Chair: Prof. Markus Bregulla, Germany, Dr. Adam Ziębiński, Poland
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Using MEMS to enhance positioning when the GPS signal disappears
Damian Grzechca, Krzysztof Tokarz, Krzysztof Paszek and Dawid Poloczek
Enhancing reliability of ADAS sensors based on the observation of the power supply current and neural network application
Damian Grzechca, Adam Ziebinski and Pawel Rybka
Data mining techniques for energy efficiency analysis of discrete production lines
Rafał Cupek, Jakub Duda, Dariusz Zonenberg, Łukasz Chłopaś, Grzegorz Dziędziel and Marek Drewniak
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