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KL 변환을 이용한 multilayer perceptron에 의한 한국어 연속 숫자음 인식
박정선,권장우,권정상,이응혁,홍승홍 대한전자공학회 1996 전자공학회논문지-B Vol.b33 No.8
In this paper, a new korean digita speech recognition technique was proposed using muktolayer perceptron (MLP). In spite of its weakness in dynamic signal recognition, MLP was adapted for this model, cecause korean syllable could give static features. It is so simle in its structure and fast in its computing that MLP was used to the suggested system. MLP's input vectors was transformed using karhunen-loeve transformation (KLT), which compress signal successfully without losin gits separateness, but its physical properties is changed. Because the suggested technique could extract static features while it is not affected from the changes of syllable lengths, it is effectively useful for korean numeric recognition system. Without decreasing classification rates, we can save the time and memory size for computation using KLT. The proposed feature extraction technique extracts same size of features form the tow same parts, front and end of a syllable. This technique makes frames, where features are extracted, using unique size of windows. It could be applied for continuous speech recognition that was not easy for the normal neural network recognition system.
RFID/USN기반 물류/유통 시스템의 평가를 위한 BSC 프레임워크
박정선 대한안전경영과학회 2014 대한안전경영과학회지 Vol.16 No.4
Many systems using RFID/USN were and are being developed. Some systems are used in practice and some are not. Generally, the main reasons not being used are: The prices of chips are too high considering the effects. The application domain is not appropriate for RFID/USN. So, various skills for higher sensing precision have been introduced like using multiple sensors and avoiding metals which deter sensings seriously. Now, it is time to evaluate systems which were developed using RFID/USN technology. However, no systematic approach has been made for the evaluation. In this paper, a framework using BSC is introduced for the evaluation of systems using RFID/USN. In this framework, some Critical Success Factors(CSF) are derived and some Key Performance Indices(KPI) are developed for each CSF.
박정선 한국항공대학교 1999 論文集 Vol.37 No.-
본 연구의 목적은 횡방향 모재균열을 갖는 복합재료 평판의 동적인 거동을 해석하는데 있다. 복합재료상의 micro-mechanics 이론 및 self-consisten method는 균열밀도(crack density) 및 여러 가지의 물성치를 계산하는데 적용되었으며, 반복적인 수치해석은 비선형적으로 균열밀도에 관계하는 복합재 강성저하를 계산하는데 사용되었다. 복합재료 평판의 동적 거동을 해석하는데 ANSYS를 이용하였고, 서로 상이한 재층각도와 균열밀도의 변화에 따른 복합재료 평판의 고유진동수 변화를 살펴보았다. 결과적으로, 모재균열은 복합죠료 평판의 고유진동수 저하를 유발하며 구조물 해석시 동적 거동이 고려되어야 한다는 것을 유추할 수 있었다. This study is to investigate the natural frequencies change of a composite laminated panel including transverse matrix cracks. Micromechanics theory and self-consistent method on the composite material are used to calculate reduced stiffness considering crack density and several moduli. Iterative numerical scheme is developed to calculate the degraded composite stiffness which has nonlinear relation due to the crack density. The ANSYS program is used to evaluate natural frequency change of the composite panel. Frequency analysis of the composite panel are examined for various laminated angles and crack density. It is realised that the matrix cracks may cause natural frequencies change and may be considered in the composite laminated panel.
필기체 한글의 오프라인 인식을 위한 효과적인 두 단계 패턴 정합 방법
박정선,이성환 대한전자공학회 1994 전자공학회논문지-B Vol.b31 No.4
In this paper, we propose an efficient two-step pattern matching method which promises shape distortion-tolerant recognition of handwritten of handwritten Hangul syllables. In the first step, nonlinear shape normalization is carried out to compensate for global shape distortions in handwritten characters, then a preliminary classification based on simple pattern matching is performed. In the next step, nonlinear pattern matching which achieves best matching between input and reference pattern is carried out to compensate for local shape distortions, then detailed classification which determines the final result of classification is performed. As the performance of recognition systems based on pattern matching methods is greatly effected by the quality of reference patterns. we construct reference patterns by combining the proposed nonlinear pattern matching method with a well-known averaging techniques. Experimental results reveal that recognition performance is greatly improved by the proposed two-step pattern matching method and the reference pattern construction scheme.