News

COOJA and Testbed Federation/TWIST growing together

Two COOJA plugins and manuals have been published to integrate the TWIST testbed in COOJA and to take checkpoints and perform rollbacks both in TWIST and COOJA.


Call for Papers: CONET/UBICITEC 2013

The 4th International Workshop on Networks of Cooperating Objects for Smart Cities 2013 (CONET/UBICITEC 2013), colocated with CPSWeek 2013, accepts submissions until January 28th, 2013.


Newsletter issue #19

The 19th CONET newsletter has been published. You can read on Virtual Organizations for Multi-Model Based Embedded Systems and on the UvA Bird Tracking System.


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Tampere University of Technology (TUT)

The Tampere University of Technology (TUT) with a population of 10382 undergraduate and 1838 postgraduate students is one of the three universities in Finland that specializes in high level education in Technology. The excellent link with the industrial world leads to a 41% of the 111 Million of Euros general revenue being provided by external sources. The Department of Production Engineering (DPE) at TUT, with a staff of over 80 full‐time researchers and doctoral students (with background in the field of automation, computer science, mechanical and telecommunications engineering), has acquired accredited ISO 9001 certification for its Quality Management System in 1998 covering both education and scientific research. DPE is the recipient of the international 2002 CASA/SME University LEAD Award given by the Computer and Automated Systems Association of Society of Manufacturing Engineers (CASA/SME), which is awarded to institutions that have achieved outstanding success in innovative, leading‐edge integrated manufacturing. The research team has been awarded the chair for the development of the IPC‐CAMX Web‐based solutions for shop floor XML communication standard for Final Assembly and Packaging (IPC‐2546 Am 2). Recognizing the new major role of Information and Communication Technologies in the field of Factory Automation, and the growth of the research team dedicated to this area over the past 8 years, TUT has established a new Full Professor Chair for managing this remarkable field starting in Q4 2005.

 

One of the main research areas of the DPE at TUT, has been the integration of ICT technologies to the field of Factory Automation. In particular, TUT has worked towards the creation of a "Service-based Automation" for supporting the evolution of Reconfigurable Manufacturing Systems. In this regard, and as a result of the research carried out under the umbrella of several international and national projects such as SOCRADES (FP6 IST), SODA (ITEA2), RI-MACS (FP6 NMP-IST), EUPASS (FP6 NMP-IST), and IMPRONTA (national), TUT has got vast experience on the following topics (among others):

  • Application and integration of concepts from Service-Oriented Architecture (SOA) for devices. This includes device-level implementation of Web Services (WS).
  • Application of Multi-Agent Systems (MAS) for creating control and support systems. This includes the integration of MAS and WS.
  • Design and integration of Semantic Web Services (SWS) on the factory floor.
  • Evaluation and application of Wireless Sensor Network technologies for creating location- and context-aware manufacturing systems.
  • Implementation of middleware tools for achieving vertical integration.

TUT is currently involved in the following projects: eSONIA (ARTEMIS-2009-1), Self-Learning (FP7 NMP-IST), and SAMIA (national). In addition to providing previous research expertise, TUT is also contributing to these projects with its experience on the following topics:

  • Device-level monitoring and data aggregation of industrial processes and remote utility environments. This topic includes the application of SOA technologies and distributed event-based systems.
  • Application of IPv6-based embedded wireless devices for the monitoring, diagnosis, prognosis, and control of assets in production facilities.
  • Holistic use of context-awareness concepts in self-adjustment of production systems, including the assurance of highest reliability, availability and safety of distributed network infrastructures.
  • Engineering methodologies applicable to Systems of Systems (SoS). These methodologies are meant for integration, validation and reconfiguration of large scale distributed systems composed of heterogeneous embedded devices with plug-and-play capabilities.

José L. Martinez Lastra received his Diploma degree in Electrical Engineering from the Universidad de Cantabria, Spain, and his Master of Science degree (with distinction) and his Doctor of Science in Technology degree (with commendation) in automation engineering from the Tampere University of Technology, Finland. Dr. Lastra joined the Department of Production Engineering, Tampere University of Technology, in 1999 and became a Full Professor of Factory Automation in 2006. Dr. Lastra was a visiting scholar at the Mechatronics Research Laboratory of the Massachusetts Institute of Technology and held research positions at the Department of Electrical Engineering of the Universidad de Cantabria, and the Institute of Hydraulics and Automation of the Tampere University of Technology. He has published over 150 original papers in international journals and conference proceedings and holds a number of patents in the field of industrial automation and related technologies. His main research interest is in the application of information and communication technologies in the field of factory automation.

Vladimir Villaseñor
is with the Department of Production Engineering at the Tampere University of Technology serving as Research Scientist for the Factory Automation Division. Mr. Villaseñor holds an MSc Diploma in Electrical Engineering from the Tampere University of Technology. He is currently studying towards the degree of Doctor of Technology at the Tampere University of Technology. His research focus is on the linking between Multi Agent Systems, Semantic Web Services and Service Oriented Architectures in industrial embedded systems. Mr. Villaseñor has previously carried research related to Wireless Sensor Networks and design of mixed‐signal systems for medical applications.

Andrei Lobov is a lecturer at Tampere University of Technology, Department of Production Engineering and he received his Dr. Tech. degree in the field of formal methods in factory automation in December 2008. Dr. Lobov received his Bachelor of Science degree in Computer and System Engineering from Tallinn University of Technology in 2001. He continued his education at Tampere University of Technology earning a Master of Science degree in Automation Engineering in 2004. Dr. Lobov’s interests include the development of tools and methods for model‐based verification and validation of factory automation systems.