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남자 고등학생(17세$\sim$19세)의 체형 특성 및 분류에 관한 연구
임영문,방혜경,신경진,Leem, Young-Moon,Bang, Hey-Kyong,Shin, Kyoung-Jin 대한안전경영과학회 2007 대한안전경영과학회지 Vol.9 No.2
The main objective of this study is to suggest the new sizing system proper to the boys in the high school students by classifying their somatotype for the development of educational environment and uniform. The sample for this work was chosen from data which were collected and measured by Size Korea during two years $(2003\sim2004)$. In order to analyze feature of the somatotype of boys in the high school students, analysis was performed about 479 subjects on 37 body parts such as height (9 parts), width (5 parts), thickness (6 parts), circumference (7 parts), length (8 parts), body weight and $R\ddot{o}hrer$ Index. The result of this study can be utilized in various fields such as design of classroom, student uniforms, facilities and equipments for education at high school and university, etc.
데이터마이닝 기법을 이용한 제조업에서의 산업재해 특성 분석
임영문(Leem Young Moon),황영섭(Hwang Young Seob) 한국산업경영시스템학회 2006 한국산업경영시스템학회 학술대회 Vol.2006 No.춘계
The main objective of this study is to provide feature analysis of industrial accidents in manufacturing industries using CART algorithm, a data mining technique. In this study, data on 10,536 accidents were analyzed to create risk groups, including the risk of disease and accident. Also, this paper used the gains chart produced by the decision tree. According to the result, gains chart can be used for a risk analysis for industrial accidents management. The sample for this work chosen from data related to manufacturing industries during three years (2002~2004) in Korea. The resulting classification rules have been incorporated into development of a developed database tool to help quantify associated risks and act as an early warning system to individual industrial accident in manufacturing industries.
임영문(Leem young Moon),유창현(Ryu Chang Hyun) 한국산업경영시스템학회 2006 한국산업경영시스템학회 학술대회 Vol.2006 No.춘계
The data mining technique is an effective instrument for making large datasets accessible and different industrial accident data comparable. Many research studies have been focused on the analysis of industrial accidents in order to reduce them. However most researches used a typical technique for the analysis of data related to industrial accidents. The main objective of this study is to compare algorithms comparison for data analysis of industrial accidents and this paper provides a comparative analysis of 5 kinds of algorithms including CHAID, CART, C4.5, LR (Logistic Regression) and NN (Neural Network). This study uses selected nine independent variables to group injured people according to a dependent variable in a way that reduces variation. In this study, data on 10,536 accidents were analyzed to create risk groups for a number of complications, including the risk of disease and accident. The sample for this work chosen from data related to manufacturing industries during three years (2002 ~ 2004) in korea. According to the result analysis, NN has excellent performance for data analysis and classification of industrial accidents.
임영문,황영섭,Leem Young-Moon,Hwang Young-Seob 대한안전경영과학회 2005 대한안전경영과학회지 Vol.7 No.5
The main objective of the statistical analysis about industrial accidents is to find out what is the dangerous factor in its own industrial field so that it is possible to prevent or decrease the number of the possible accidents by educating those who work in the fields for safety tools. However, so far, there is no technique of quantitative evaluation on danger. Almost all previous researches as to industrial accidents have only relied on the frequency analysis such as the analysis of the constituent ratio on accidents. As an application of data mining technique, this paper presents analysis on the efficiency of the CHAID algorithm to classify types of industrial accidents data and thereby identifies potential weak points in accident risk grouping.
데이터 마이닝 기법을 활용한 산업재해자들에 대한 요인분석
임영문,황영섭,최요한,Leem Young-Moon,Hwang Young-Seob,Choi Yo-Han 대한안전경영과학회 2005 대한안전경영과학회지 Vol.7 No.4
Many researches have been focused on the analysis of industry disasters in order to reduce them. As a similar endeavor, this paper provides a propensity analysis of injured people from various industries using classification and regression tree(CART), a data mining algorithm. The sample for this work was chosen from 25,157data related to various industries during one year ( $2003.2\sim2004.1$ ) at Kangwon-Do in Korea. For the purpose of this paper, eight independent variables (injured date, injured time, injured month, type of Injured person, continuous service period, sex, company size, age)are taken from injured person group. According to the analysis result, it is found that five out of the eight factors that are predicted as significant have salient effects. Factors of season, time/hour, day of the week, or month which disasters happened do not show any significant effect. This paper provides common features of injured people. The provided analysis result will be helpful as a starting point for root cause analysis and reduction of industry disasters and also for development of a guideline of safety management.
임영문(Leem Young Moon),황영섭(Hwang Young Seob) 한국산업경영시스템학회 2009 한국산업경영시스템학회 학술대회 Vol.2009 No.춘계
Nowaday mobile phone is an essential item for convenient daily life. Mobile phone enables us to obtain a lot of necessary and important things such as communication, information, leisure and entertainment. As the technology of mobile phone has been developed, the function of mobile phone can be compared to small computer. Customer's need of mobile phone has been varied and changed according to individual taste and preference. The main purpose of this research is to analyze priority of mobile phone brands using evaluation method of intangible assets with five major brands.
임영문(Leem Young Moon),이현종(Lee Hyun Jong),최요한(Choi Yo Han) 한국산업경영시스템학회 2002 한국산업경영시스템학회 학술대회 Vol.2002 No.추계
Initially, QFD (Quality Function Deployment) was introduced in 1972 to help design supertanker in Mitsubish"s shipyards in Kob, Japan and formally defined by the American Supplier Institute in 1987 as a system for translating consumer requirements into appropriate company requirements at every stage, from research, through product design and development, to manufacture, distribution, installation, and marketing, sales and services. Although QFD has complex and tedious procedure to complete, since 1972, it has now been used by Japanese, American, and European because of its fruitful merits. The objective of this paper is to provide and analyze the trend on the viewpoint of efficient value engineering of field workers using QFD technique as an value engineering approach. The data are collected by questionnaires. The samples for this study are chosen from 13 companies in Korea during 2 months (2002. 7 ~ 2002. 8). The results of this study will play an important role not only for the efficient value engineering but also for preparing of life cycle cost analysis.
Ontology Modeling for Pattern Recognition of Information Flow Using Situation Theory
임영문(Young-Moon Leem) 한국산업경영시스템학회 2005 한국산업경영시스템학회지 Vol.28 No.4
주어진 시스템에서 정보와 정보흐름에 대한 패턴인식을 하기 위해서는, 정보를 내포하고 있는 문맥이 내용에 따라서 다른 단어나 다른 정보를 추론하여 원래의미를 전달함에 있어 오도할 수 있기 때문에, 문맥의 분해에서 정보 조각의 묶음 형태로 전환하는 작업에서부터 연구는 시작되어야만 한다. 많은 연구자들이 정보의 저장, 재표현, 부호화, 검색 등에 관해 효과적인 방법론을 찾고자 노력해 오고 있다. 유사한 노력의 일환으로 본 논문에서는 군이론과 상황이론을 응용해서 정보 및 정보흐름의 패턴인식에 관한 새로운 모델링 기법을 제안하고자 한다. 정보처리에 관련된 선행연구와 비교해서, 본 연구에서 제안하는 방법은 수학이론인 군이론과 상황이론에서 사용되고 있는 개념과 정의를 사용하였다는 점에서 매우 새로운 접근방법이라 할 수 있다. 본 논문에서는 정보흐름의 패턴인식을 위한 모델링 기법으로 Abelian Pattern Semi-Group을 제시하는데 이러한 접근방법은 최근 중요한 연구 분야가 되고 있는 유비쿼터스 컴퓨팅 환경에서도 활용될 수 있을 것이다.