Basis frame-work's base in a semiconductor industry have gas, chemical, electricity and various facilities in bring to it. That it is a foundation by fire, power failure, blast, spill of toxicant huge by large size accident human and physical loss and damage because it can bring this efficient, connect with each kind mechanical, physical thing to prevent usefully need that control finding achievement factor of human factor of human action. Large size accident in a semiconductor industry to machine and human and it is involved that present, in system by safety interlock defect of machine is conclusion for error of behaviour. What is not construing in this study, do safety in a semiconductor industry to do improvement. Control human error analyzes in human control with and considers mechanical element and several elements. Also, apply achievement factor using O'conner Model by control method of human error. In analyze by failure mode effect using actuality example.

우리는 UPOV 협약에 의해 2009년 이후 품종시장을 개방해야 한다. 2005년 현재 23종류 179품종을 보급하였으나 품종보호등록 품종 수는 느타리 9개 이다. 이러한 품종등록 수는 선진국에 비해 아주 적은 편이다. 종균은 넓은 의미에서 품종도 포함한다. 품종개발을 하는데 몇 가지 문제점이 있는데 복잡하고 어려운 버섯의 성 양식, 값비싼 특수 실험기구와 자실체 생육시설이 필요하다. 이러한 문제를 해결하고 품종(종균)을 육성하기 위해서는 다음 사항들이 필요하다. 즉, 유전자원의 수집 및 평가, 게놈분석과 유용형질에 대한 분자생물학적 해석, 한국 고유의 품종 육성으로 품종보호등록, 별도지원의 가칭 "산학연 품종개발연구단"에 의한 품종개발 연구 강화, 종균배양소의 컨소시엄에 의한 종균연구소 설립 운영, 버섯 종합상사 출현, 소비 촉진, 그리고 국제경쟁력 향상이 필요하다. 여기서는 이러한 것에 대해 논의 하고자 한다.

The Korean livestock industry has grown rapidly. Also the relative importance of livestock production in the total agricultural products has also increased very much. However, there are lots of problems to solve from now because of changing circumstances around Korea, such as increasing imports of low price livestock products, decreasing growth rate of domestic food consumption, and food safety problems. New directions for the animal resource industry are summarized as follows : Firstly, the business field of livestock industry must be enlarged to the animal resource area. Secondly, food safety and sustainable system are very important sectors to develop the animal resource industry in the future. Thirdly, new cooperative systems in the production field, such as integration, support system for calf raising and manure recycling are necessary. Fourthly, promotion and marketing strategies of brand products must be improved.

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.

Many domestic studies related to service quality are performed but the study on computing Service Quality Score is not yet activated. Because Service quality measurement plays an important role in assessing service performance and diagnosing service probl

The consequences of rapid industrial advancement, diversified types of business and unexpected industrial accidents have caused a lot of damage to many unspecified persons both in a human way and a material way Although various previous studies have been analyzed to prevent industrial accidents, these studies only provide managerial and educational policies using frequency analysis and comparative analysis based on data from past industrial accidents. The main objective of this study is to find an optimal algorithm for data analysis of industrial accidents and this paper provides a comparative analysis of 4 kinds of algorithms including CHAID, CART, C4.5, and QUEST. Decision tree algorithm is utilized to predict results using objective and quantified data as a typical technique of data mining. Enterprise Miner of SAS and AnswerTree of SPSS will be used to evaluate the validity of the results of the four algorithms. The sample for this work chosen from 19,574 data related to construction industries during three years (2002~2004) in Korea.

산업재해 통계분석의 커다란 목적은 각 산업별로 주 위험요인을 도출하고 이에 따른 안전교육의 실시 또는 안전장치 등을 보완함으로써 산업재해를 줄이거나 예방하는데 있다고 볼 수 있다. 그러나 일반 제조업이나 건설업 등에서는 아직까지도 정량적 위험성 평가 기법이 개발되어 있지 않은 실정이다. 따라서 효율적인 위험성 평가 기법의 개발이 필요하다. 본 연구에서는 데이터마이닝 기법을 이용한 산업재해 예방을 위한 최적 알고리즘 선정 방법을 제시한다.