Information processing laboratory
Professor Shinji TSURUOKA
tsuruoka@elec.mie-u.ac.jp
Associate Prof. Hiroharu KAWANAKA
kawanaka@elec.mie-u.ac.jp
Information processing laboratory Home Page
Research Projects:
1. Document Image Understanding (Automatic Conversion of Information Media)
The automatic conversion technique of information on the paper into the computer isn't established yet, and the information is usually converted by manual. The goal of this project is the establish of the automatic conversion algorithm from paper documents, which include texts, figures and tables, into digital documents. We are researching the algorithm about the printed and handwritten documents using digital image processing and pattern recognition.
2. Visual Interface (Tele Education Supporting System Using Image Motion)
The quality of the moving pictures used on tele education and tele conference is low for viewer if a cameraman doesn't operate a camera. The viewer can't be satisfied for the quality, and the viewer bores the scene. Because the clarity of the lecturer's face, characters or figures on the black board is low for the resolution of the camera, and the visual communication system can't carry the feeling of the lecturer to the viewer. We are researching the detection of image motion for a tele education supporting system to capture appropriate images.
3.Medical Electronics (Signal and Image Processing for Heart Motion)
An early diagnosis and an appropriate cure can recover from the heart disease. In this project, we use the ultrasonic beam for the motion detection of the local heart muscle, and we are developing the new imaging techniques for the medical diagnosis using the radio frequency signal processing and the motion image analysis.
4. Automatic Test Pattern Generation System for LSI testing (Compact Current Test Set Generation Method)
With the number of transistors on a LSI increasing, the testing cost of LSI is becoming high due to long LSI testing time. In order to keep the testing cost down, i.e. to test each LSI quickly, we have been developing algorithms for generating compact test pattern sets with small number of tests, especially for the current testing method which effectively detects short-family faults.
5.Intelligent Education Supporting System (Development of Software for Computer Aided Instruction(CAI))
The computer is going to be introduced into school for the social needs, but the number of excellent educational software is small. The useful educational softwares for the various area are required. We are researching the scheduling system of lectures and the constructing tool for Computer Aided Instruction (CAI).
6. Intelligent Fire Judgment System (Learning Algorithm from Time Series)
Recently, every building has fire alarm systems to detect a fire in its early stages and not to spread the damage of the fire. However, the simple logic of the fire judgment systems causes false alarm many times and it reduces the reliability of the system. We are developing the intelligent fire judgment system that can judge them fire or non-fire in the early stage using the time series of the smoke density data.
7. Intelligent System Using Genetic Algorithm (Automatic Acquisition of knowledge)
Fuzzy controls have widely used in industry for their high degree of performance in human-computer interactions. Demand for fuzzy inference systems that can describe complex, multi-input/output systems is growing. We are researching the automatic acquisition of knowledge using the soft computing techniques. We are also researching the Genetic Algorithm, which is one of the algorithms in the soft computing techniques, and its applications.