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김우현 ( Woo-hyun Kim ),박동웅 ( Dong-wung Park ) 한국고등직업교육학회 1999 한국고등직업교육학회 학술대회 논문집 Vol.1999 No.11
This paper describes algorithm to extract license plates in vehicles. Neural networks have been trained to perform complex functions in various fields of application including pattern recognition, identification, classfication, speech, vision and control systems. Today, neural networks can be trained to solve problems that are difficult for conventional computers or humanbeing. The recognition methods using neural networks have two ones. In this paper, First, we input the normalized self-image and learned the real image. Second, we extracted charastic vector and learned it. But, the former is ideal method that is required many units according to resolution. Also, in increasing interconnection number, it takes many time to recognize an image. The latter has a decreasing problem of recognition and merits to reduce units and interconnection number in a few input. Simulation shows that the proposed algorithm having character recognition system using multi-layer neural networks improves the recognition rate in various learning data.
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홍성태 ( Sung-tae Hong ),박동웅 ( Dong-wung Park ) 한국고등직업교육학회 1999 한국고등직업교육학회 학술대회 논문집 Vol.1999 No.11
Today, unexpected disasters frequently threaten citizen's lives and properties under the situation that the contemporary society is more diversified and highly advanced as times go. Considering that, the FFEOS using proper GIS to reality is much demanded to respond rapidly to the complicated and diversified disasters and make ourselves active in coping with the job related to fire fighting rescue and emergence, furthermore, provide them high qualified administration service. In the paper, we're going to develop the FFEOS by setting up the database of community information, urban information and information on all sorts of civic infrastructures. Then, we’ll intensify disaster-controlling function through the computerization of fire fighting administration and ordering system in order to make people's lives stable and level up our welfare and suggest the FFEOS as a basic model at the same time, even furthermore, spread the system to any fire fighting administration in all region of this country.
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