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GAM : 대형 통신 시스템을 위한 위험도 예측 모델 A Criticality Prediction Model for Large Telecommunication Systems
홍의석 한국컴퓨터교육학회 2003 컴퓨터교육학회 논문지 Vol.6 No.2
소프트웨어 개발 초기 단계의 문제점이 개발 후반부 산물의 품질에 심각한 영향을 미치기 때문에 설계 명세를 이용하여 결함경향성이 많은 부분을 예측하는 위험도 예측 모델은 전체 시스템 개발비용을 낮추는 데 중요한 역할을 하고 있으며, 이러한 예측 모델은 결과 산물이 매우 크고 실행 정확성이 요구되는 통신 소프트웨어 같은 실시간 시스템 설계에 더욱 필요하다. 판별분석, 인공신경망, 분류트리 등의 기법들을 이용한 모델들이 제안되었으나 이들은 결과에 대한 원인 분석의 어려움, 낮은 확장성 등의 문제점들을 지니고 있었다. 본 논문에서는 유전자 알고리즘을 이용한 새로운 모델인 GAM을 제안한다. GAM은 위험도 함수를 만들어 내므로 기존의 분류 모델들과는 다르게 설계 개체의 위험도 비교에도 사용가능하다. 여러 내부 특성들과 예측 정확도 비교를 통해 GAM을 잘 알려진 예측 모델인 역전파 신경망 모델(BPM)과 비교하였다. Criticality prediction models that determine whether a design entity is fault-prone or non fault-prone play an important role in reducing system development costs because the problems in early phases largely affect the quality of the late products. Real-time systems such as telecommunication systems are so large that criticality prediction is mere important in real-time system design. The current models are based on the technique such as discriminant analysis, neural net and classification trees. These models have some problems with analyzing causes of the prediction results and low extendability. This paper builds a new prediction model, GAM, based on Genetic Algorithm. GAM is different from other models because it produces a criticality function. So GAM can be used for comparison between entities by criticality. GAM is implemented and compared with a well-known prediction model, BackPropagation neural network Model(BPM), considering Internal characteristics and accuracy of prediction.
홍의석,정명희,Hong, Ui-Seok,Jeong, Myeong-Hui 한국정보처리학회 2000 정보처리논문지 Vol.7 No.4
Design metrics that quantify the design phase play an important role in reducing system development cost because the problems in early phases of software development seriously affected the quality of the late products. Real-time systems such as telecommunication systems are so large that design quantification is more important in real-time system design. Although many metrics have been proposed, few of them are correctly validated. This paper revises the SDL metrics set proposed in earlier study [9] and perform an analytical validation o the metrics set. Axiomatic approach and dimensional analysis are used for metrics validation and the old metrics are revised ot satisfy the validation criteria.
백지(白芷)의 ${\alpha}-Melanocyte$ Stimulating Hormone에 의해 유도된 Bl6 흑색종 세포의 멜라닌 형성에 미치는 영향
홍의석,이준혁,최병태,윤화정,고우신,Hong, Ui-Suk,Lee, Jun-Hyuk,Choi, Byung-Tae,Yoon, Hwa-Jung,Ko, Woo-Shin 대한한방안이비인후피부과학회 2005 한방안이비인후피부과학회지 Vol.18 No.1
Melanin determines phenotypic appearance and its election-opaque property protects cells from physical, including ultraviolet (UV) radiation, and chemical stimuli such as free radicals. However hyper-pigmentation is associated with various skin diseases such as keloid scar. The aim of present study was to investigate the effects of aqueous extracts from Angelica dahurica Benth. (AEAD) on ${\alpha}-Melanocyte$ stimulating hormone $({\alpha}-MSH)-induced$ melanogenesis in B16 mouse melanoma cell. Relative high doses ($5\;mg/m{\ell}$) of AEAD could inhibit melanin formation without apoptotic death in cells treated with ${\alpha}-MSH$. And also, ${\alpha}-MSH-induced$ activation of tyrosinase was inhibited in cells treated with AEAD. These results suggest that AEAD inhibit melanogenesis through inhibiting tyrosinase activity, and also, AEAD may apply to develop whitening drugs and cosmetics.