SIMP: In the SIMP-Project (System Integrated Metal Processes) the aim is to develop plant wide quality control tools for steel making processes. The predictive models will be integrated to a on-line monitoring system showing the status of a quality level in hot rolling and providing decision support for process management.
GlobalRF: In the project a fundamental radio frequency spectrum shortage problem is tackled by developing methods for understanding the current and evolving use of the spectrum in various environments. In BISG the study consists of a combination of the spectrum data with open data available to discover different correlations and hidden variables explaining frequency band use. Moreover, the research in the area includes the visualization of the observations as well as building predictive models for spectrum use.
MOVE: The MOVE is a Academy of Finland funded project for postdoctoral research of Doctor Heli Koskimäki. In the project, the research concentrates on human behavior recognition based on activity chains. The work is based on wearable sensors including accelerometers, magnetometers, and GPS radios that can be used to monitor and classify human activities. The research aims at providing solutions suitable for real environments by minimizing the needed memory capacity and computational power.
MOPO: MOPO project aimed to enhance the well-being and health of young men in northern Finland. The project was initiated as a consequence of the concern of marginalization of young men in the area. In the project, knowledge and theories from exercise science, health sciences, cultural anthropology, information science and engineering are combined. BISG’s responsibilities in the project included developing activity recognition methods for mobile devices and implementing a mobile service for the study participants.
Affective Human-Robot Interaction: Human-machine interaction in intelligent sensor network (Minotaurus) is a joint project between the Biomimetics and Intelligent Systems Group and the Center for Machine Vision Research, funded by the European Regional Development fund in 2010-2012. However, the human-robot interaction has been an active research area at the ISG since early 2000'. Parallelly, the same research area, in particular the affective human-robot interaction, is being studied with the support of the Academy of Finland. The goal of the project is to create natural communication between the human and the machine. An intelligent sensor network will be implemented to support the operation of humans and robots. Practical applications for human-robot interaction will be implemented as well. In addition, the HRI system will be made easily extandable.
INCA: The project goal was to develop an interactive and context-aware feedback and control system for rationalizing energy efficient living. The system itself collects personalized data from the environment and offers information about consumption habits for the individuals. With the help of the information, it is possible to advise people on more energy efficient living and to give recommendations for avoiding unnecessary energy consumption. The research in the INCA project was performed jointly with Associate Professor Kaori Fujinami from the Tokyo University of Agriculture and Technology (TUAT).
PROB2E: In the prob2E-project (Probability Predictions to Production Efficiency) a probability prediction approach was used to develop and utilize statistical models in process optimization and quality improvement, and the benefits that industry can achieve by employing distributional prediction instead of point prediction were validated.
XPRESS: The project had following strategic objectives: 1)To establish a breakthrough for the factory of the future with a new flexible assembly and manufacturing concept based on the generic idea of “Manufactron” integrated in cross-sectoral learning networks for a customised production and a flexible system organisation. This knowledge based concept integrates the complete process chain from the production planning to the assembly and finally the quality assurance of the produced/assembled products and the reusability. 2) To meet the challenges of future intelligent manufacturing concepts to integrate intelligence and flexibility not only at the “highest” level of the production control system but also at the shop floor level.3) Demonstrate the feasibility in 3 representative applications (automotive, aeronautics, electrical industry).
Last updated: 9.3.2015