International Seminar on Data Mining and Artificial Intelligence Methods for Automotive Systems
Silesian University of Technology, Gliwice, Poland, November 26th, 2015
Faculty of Automatic Control, Electronics and Computer Science
Seminar: 13:00 -19:00 Lecture Hall A AutoUniMo Open Day: 10:00 – 12.30 Hall
Goals and topics
The main goal of this seminar is to provide a forum for engineers and researchers interested in hardware and software IT solutions used in automotive area to meet, exchange research and implementation ideas, and results. It also provides this şirinevler escort group of practitioners/researchers an opportunity to present their research papers and experience reports, and to take part in open discussions. Relevant topics include (but are not limited to) theoretical and/or empirical exploration automotive sector, as well as case studies and experience reports related to:
- Data Mining for short series production
- MES for short series production
- Cloud computing for automation
- Energy and resources efficiency systems planning and engineering
- Artificial Intelligence in automotive
- Modelling of components for digital factory(interfaces descriptions, data exchange)
- Flexible and scalable communication interfaces for automotive production systems
- New trends in ADAS
- Raspberry PI solution for mobile platform
After the presentations free time is planned for discussions. Because of the preparation of informational materials for seminar, all willing participants (and listeners as well) are requested to send an email to: Ten adres pocztowy jest chroniony przed spamowaniem. Aby go zobaczyć, konieczne jest włączenie w przeglądarce obsługi JavaScript..
General Information
The AutoUniMo consortium (http://autounimo.aei.polsl.pl/) gathers academic and industrial partners for which modern methods used in production systems are the critical path of their activity. The consortium consist of two industrial: Continental & AIUT, and two academic: Technische Hochschule Gliwice & Silesian University of Technology affiliates.
International Seminar on Data Mining and Artificial Intelligence Methods for Automotive Systems (DMAIMAS) scheduled on Nov. 26, 2015 at Gliwice (Poland) aims to bring together academic scientists, industry researchers and engineers to exchange and share their experiences and research results about all aspects of automotive area, and discuss the practical challenges encountered and the solutions adopted.
DMAIMAS 2015 is a great opportunity for engineering and computer science companies expand their knowledge on the latest technology trends and technologies in the automotive industry. The seminar will allow familiarize students with new trends in hardware and software IT solutions used in automotive. We would like to cordially invite all willing companies and scientific institutions for lectures at the seminar.
Submission Guidelines & Program Committee
Deadline for submission: 25.10.2015
Submissions to: Ten adres pocztowy jest chroniony przed spamowaniem. Aby go zobaczyć, konieczne jest włączenie w przeglądarce obsługi JavaScript. should include:
- an abstract (max. 300 words)
- a short bio including your institutional affiliation and contact details either in MS‐Word format (*.doc or *.docx) or as a pdf
Seminar language: English. Accepted participants will be notified by the 3rd November 2015.
Registration Fees: There is no registration fee, participation in the seminar is free of charge.
Convener: Magdalena Szczechura
Articles in the Studia Informatica
The participants of the seminar are invited to submit written extended versions of their presentations as regular articles to the Studia Informatica, scientific open access journal.
The manuscript templates in MS Word and Open Office format are available at the authors guidelines page. The bibliographic style CSL for use with Zotero or Mendeley bibliographic manager is also available. All the submitted manuscripts will be evaluated by at least two peer referees for their scientific quality. Authors of accepted manuscripts will be offered an assistance in abstract translation to Polish version.