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최승희(Seunghee Choi),이구연(Goo Yeon Lee) 대한전자공학회 2016 전자공학회논문지 Vol.53 No.9
국내의 자전거 이용 활성화 정책에 따라 자전거 노선 및 자전거 교통 인프라가 계속 확장되는 추세이다. 자전거 인구가 증가함에 따라 해마다 자전거 교통사고도 증가하고 있다. 본 논문은 도로교통공단의 2007년부터 2014년까지의 자전거 교통사고 데이터를 분석하여 교통사고 현황에 대한 통계량을 제시하였다. 또한 기상청의 종관기상관측소 서울지점의 기상 정보를 활용하여 서울지역의 일별 교통사고 발생 건수에 대한 회귀분석을 실시하였다. 그리고 의사결정 트리 분석 방법을 적용하여 교통사고 정보의 교통사고 심각도를 분류 예측하였다. 이러한 기술 분석 및 예측 분석을 통해 향후 자전거 교통사고 예방을 위한 자전거 교통사고 데이터 수집 정책 및 사고 예방 대책 수립에 도움이 되고자 한다. According to the promoting policy for bicycle riding, the bicycle road infrastructure in Korea has been widely established. As the number of bicycle rider increases, bicycle traffic accidents also increase year after year. In this paper, we analyze bicycle traffic accident data from 2007 to 2014 which is provided by Road Traffic Authority and present statistical results of bicycle traffic accidents. And also regression analysis is applied to predict the number of daily traffic accidents in Seoul using ASOS(Automated Synoptic Observing System) climate data observed in the Seoul sector which are provided by Korea Meteorological Administration. In addition, decision tree analysis techniques are used to forecast the level of traffic accidents severity. In the analytic results of this research, we expect that it will be helpful to establish the collective policy of bicycle accident data and protective strategy in order to reduce the number of bicycle accidents.
리팩토링을 위한 소프트웨어 메트릭의 베이지안 네트워크 기반 확률적 관리
최승희(Seunghee Choi),이구연(Goo Yeon Lee) Korean Institute of Information Scientists and Eng 2016 정보과학회논문지 Vol.43 No.12
In recent years, the importance of managing software defects in the implementation stage has emerged because of the rapid development and wide-range usage of intelligent smart devices. Even if not a few studies have been conducted on the prediction models for software defects, their outcomes have not been widely shared. This paper proposes an efficient probabilistic management model of software metrics based on the Bayesian network, to overcome limits such as binary defect prediction models. We expect the proposed model to configure the Bayesian network by taking advantage of various software metrics, which can help in identifying improvements for refactoring. Once the source code has improved through code refactoring, the measured related metric values will also change. The proposed model presents probability values reflecting the effects after defect removal, which can be achieved by improving metrics through refactoring. This model could cope with the conclusive binary predictions, and consequently secure flexibilities on decision making, using indeterminate probability values.
최승희(Seunghee Choi),김학수(Harksoo Kim),이구연(Gooyeon Lee) 한국정보과학회 2014 정보과학회논문지 : 소프트웨어 및 응용 Vol.41 No.8
임베디드 분야를 비롯하여 거의 모든 산업 분야에 하드웨어를 기반으로 소프트웨어 탑재가 이루어지고 있다. 이에 제품의 품질 관리가 갈수록 중요해짐에 따라, 많은 기업이 품질 비용에 많은 지출을 하고 있다. 그러나 국내 기업의 경우 품질 저하 예방 비용보다는 품질 미달로 인한 문제 해결에 많은 비용을 쓰고 있어, 품질 저하 예방 비용의 효과적 집행을 위한 지속적인 개선이 필요한 상황이다. 이를 위해 정량적 품질 관리에 대한 관심이 증대되고 있으나, 정량적 품질 관리 활동은 프로세스 성숙도 모델에서 통계적 기법의 활용을 요구하는 레벨 4, 5에 속하는 고수준의 프로세스 활동으로 통계적 품질 관리 활동의 이행이 필수적이다. 이와 같은 현실을 반영하여 본 논문에서는 TMMi 레벨 5 프로세스 영역 중 품질 관리(Quality Control) 프로세스 구축 방안을 소개하여 고수준의 통계적 품질 관리 프로세스 구축에 도움이 되고자 한다. The hardware-based software has been loaded in almost all industrial fields including the embedded system field. As it is increasingly important to control product quality, the more businesses are expending great quality cost. However, most domestic corporations in Korea are bent on spending more money solving problems caused by poor quality rather than prevention of quality loss cost. Therefore, it’s time to improve to use quality prevention cost efficiently. As for this, there has been a growing interest in controlling quantitative quality, but the managing activities for quantitative quality require a high maturity process, belonging to Level 4 and 5. So it is necessary that statistical quality control activities should be fulfilled. This study introduces various measures to build up quality control among the process areas of TMMi Level 5 to help establish the high maturity test processes of statistical quality control.
A Corpus-based Genre Analysis of Curriculum Vitae
Choi, Seunghee(최승희),Jeon, Juyoung(전주영) 새한영어영문학회 2011 새한영어영문학 Vol.53 No.4
This paper aims to provide customized guidelines to EFL learners for writing in a specific genre (curriculum vitae). To this end, a total of 100 typical samples of CVs distributed by several UK and US universities were collected and analyzed using a genre-based approach. In this paper, the major features of genre analysis and corpus-based genre analysis techniques will be introduced. The collected CVs will then be analyzed, with a focus on the ‘Experience’ section in terms of its informational structures, communicative goals, and lexical items supporting the goals. The findings of the analysis of the ‘Experience’ stage in CVs are as follows. In terms of the overall linguistic characteristics, goal-oriented informational structures, reader-friendly presentation, and very specific and detailed supporting evidence was used; several sub-stages were employed, which contain different information with different communicative goals; several lexical and grammatical features from words to clauses were included, and these varied from stage to stage and made a great contribution to the accomplishment of the individual communicative goals. From these findings, the pedagogical implications will be discussed.