Helsinki University of Technology

About: Helsinki University of Technology is a based out in . It is known for research contribution in the topics: Artificial neural network & Finite element method. The organization has 8962 authors who have published 20136 publications receiving 723787 citations. The organization is also known as: TKK & Teknillinen korkeakoulu.

Zero-Rate Output and Quadrature Compensation in Vibratory MEMS Gyroscopes

Abstract: In this paper, issues related to the zero-rate output (ZRO) of a vibratory microgyroscope are studied. Different sources of the ZRO are discussed and how the effect of each source can be minimized and their stability improved is described. The effects of synchronous demodulation and electrostatic quadrature compensation performed with a dc voltage on the final ZRO are analyzed. Ways to implement the control loop for electrostatic quadrature compensation performed with a dc voltage are described, concentrating on a case where the compensation voltage is generated with a digital-to-analog converter and the controller is digital. In particular, extending the resolution with SigmaDelta techniques is studied. The experimental work shows the feasibility of the implemented quadrature compensation loop and analyzes the ZRO sources of one particular gyroscope implementation. How to perform the ZRO measurements in such a way that the various sources can be distinguished from each other is also described.

The use of ERS-1 SAR data in snow melt monitoring

Abstract: ERS-1 SAR data, airborne data and in situ snow data were acquired for the Sodankyla test site in northern Finland for the winters of 1991-1992 and 1992-1993. The test area consists of sparsely forested areas (pine, mixed forests, and mires) and open areas (bogs, lakes, clear-cut areas, and urban area). A set of multitemporal ERS-1 SAR images covering the two winters have been analyzed and the results have been compared with in situ surveys and a digital land-use map. The results indicate that even in the presence of forest canopies (1) wet snow can be distinguished from other soil/snow conditions (dry snow and bare ground), and (2) snow melt maps can be derived from SAR images. Snow-melt maps indicate areas fully covered with wet snow, partly melted areas and snow-free areas.

The room acoustic rendering equation.

Abstract: An integral equation generalizing a variety of known geometrical room acoustics modeling algorithms is presented. The formulation of the room acoustic rendering equation is adopted from computer graphics. Based on the room acoustic rendering equation, an acoustic radiance transfer method, which can handle both diffuse and nondiffuse reflections, is derived. In a case study, the method is used to predict several acoustic parameters of a room model. The results are compared to measured data of the actual room and to the results given by other acoustics prediction software. It is concluded that the method can predict most acoustic parameters reliably and provides results as accurate as current commercial room acoustic prediction software. Although the presented acoustic radiance transfer method relies on geometrical acoustics, it can be extended to model diffraction and transmission through materials in future.

Multi-Agent Fuzzy Signal Control Based on Real-Time Simulation

Abstract: In this paper a traffic signal control system based on real-time simulation, multi-agent control scheme, and fuzzy inference is presented. This system called HUTSIG is closely related to the microscopic traffic simulator HUTSIM, both have been developed by the Helsinki University of Technology. The HUTSIM simulation model is used both for off-line evaluation of the signal control scheme and for on-line modeling of traffic situations during actual control. Indicators are derived from the simulation model as input to the control scheme. In the presented control technique, each signal operates individually as an agent, negotiating with other signals about the control strategy. Here the decision making of the agents is based on fuzzy inference that allows a combination of various aspects like fluency, economy, environment and safety. The fuzzy implementation of the HUTSIG signal control system is developed under the FUSICO-project at Helsinki University of Technology.