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朴貴泰(Gwi-Tae Park),李起常(Kee-Sang Lee),朴太洪(Tae-Hong Park),裵相旭(Sang-Wook Bae),金星鎬(Sung-Ho Kim) 대한전자공학회 1992 대한전자공학회 학술대회 Vol.1992 No.10
In this paper, the author proposed FLVSC (Fuzzy Logic Variable Structure Controller), of which control rules are extracted from the concepts of VSC(Variable Structure Control). FLC (Fuzzy Logic Controller) based on linguistic rules has the advantages of not needing of some exact mathematical model for plant to be controlled. The proposed method has the characteristics which are viewed in conventional VSC, e.g. insensitivity to a class of disturbances, parameter variations and uncertainties in sliding mode. In addition, the method has the properties of FLC - noise rejection capability etc. The computer simulations have been carried out for a DC servo motor to show the usefulness of the proposed method and the effects of disturbances and parameter variations are considered.
박귀태(Gwi-Tae Park),김진헌(Jin-Heon Kim),정순원(Soon-Won Jung),송승철(Seung-Chul Song) 대한전자공학회 1992 대한전자공학회 학술대회 Vol.1992 No.10
The tire manufacturing process demands classification of tire types when the tires are transferred between the inner processess. Though most processes are being well automated, the classifcation relies greatly upon the visual inspection of humen. This has been an obstacle to the factory automation of tire manufacturing companies. This paper proposes an effective vision system which can be usefully applied to the tire classification process in real time. The system adopts a parallel architecture using multiple transputers and contains the algorithms of preprocessing for character recognition. The system can be easily expandable to manipulate the large data that can be processed seperately.
이치화 영상에 대한 계조치 동시발생행렬을 이용한 타이어 접지 패턴의 분류
박귀태(Gwi-Tae Park),김민기(Min-Gi Kim),김진헌(Jin-Heon Kim),정순원(Soon-Won Jung) 대한전자공학회 1992 대한전자공학회 학술대회 Vol.1992 No.10
Texture is one of the important characteristics that has been used to identify objects or regions of interest in an image. Tire tread patterns can be considered as a kind of texture, and these are classified with a texture analysis method. In this sense, this paper proposes a new algorithm for the classification of tire tread pattern. For the classification, cooccurrence matrix for the binary image is used. The performances are tested by experimentally 8 different tire tread pattern and the robustness is examined by including some kinds of noise.