국내 반도체 산업은 불과 20년도 안되는 짧은 기간통안에 곽목할만한 성장을 하여 전세게 반도체 생산 규토 면에서 3위 국가로 부상하였으며, 기술 경쟁력 면에서도 한국인의 자존심을 그나마 지져왔다. 하지만, 반도체 제조는 가장 복잡한 제조공정의 하나로 분류되며, 이러한 복잡한 시스템을 통제하기 위해서는, 다양한 시스템 조건하에서 적절한 생산전략을 마련하는 것이 필요하다. 그러나, 반도체 제조 시스템에 대한 다양한 상황과 관련한 연구 많지 않다. 반도체 제

This study examines the effects of corpus-based collaborative learning on the intake of grammar rules among high school students. This study is grounded on three theoretical backgrounds: Grammar teaching based on a large amount of input enhances intake; peer interaction promotes learners’ participation and has positive effects on their academic achievement; and discovery instruction stimulates learners’ motivation and helps them notice rules, leading to the conversion of input into intake. The subjects were divided into two groups, each group consisting of 60 students. The subjects studied six grammar rules over a period of six weeks. Group 1 did small group activities with the materials extracted from the COBUILD corpus, while Group 2 was given the teacher’s explanation of each rule with some examples designed to show how the target rule works. After each grammar lesson, both groups took a post-test. The results indicate that (a) corpus-based grammar learning helps engage learners in the learning process and raise their grammar awareness, (b) corpus-based learning facilitates noticing and identifying the target form better than its meaning and (c) peer interactions in a small group have positive effects on the intake of grammar rules.

Association rules are the discovery of previously unknown, potentially useful and hidden knowledge in databases. Many algorithms have been proposed to find association rules in databases. Due to the diverse use's interest and preference to items, former algorithms do not work well in real world application. That is to say, in most algorithms of mining association rules, the items are considered to have equal time weight and are not dealt with quantitative attributes. Hence, to improve former algorithms, we propose an algorithm in this paper to mine fuzzy association rules considering time weight of each item and quantity of each item.

제조 기업들은 공정 내에 불량을 파악하고 품질 특성치를 찾아내기 위해서 대용량의 샘플 데이터를 수집하며 분석하고 있다. 이렇게 수집되어진 데이터를 분석하기 위하여 데이터마이닝 기법이 많이 이용되어지고 있다. 본 연구에서는 제조 공정내의 불량 요인의 데이터를 수집하고 수집된 데이터를 데이터마이닝 기법 중 연관규칙을 이용하여 공정 내 불량간의 연관관계를 파악하고 공정 불량요인을 효과적으로 분석함으로서 제조 공정 내에 불량항목과 공정 간의 변화패턴 관계를 알아보기 위함이다.

식품산업체에서 검사한 자료의 일반세균수는 대부분 불규칙 분포를 나타낸다. 최근 이러한 불규칙적인 경향에 대하여 미생 물수의 lognormal 분포 특성을 이용하는 확률분포 모델을 적용함으로써 좀더 정확한 변화의 특성을 밝히고 있다. 확률분포 모델을 이용하면 일반세균수와 대장균군 등의 분석결과에 대해 과거의 단순한 경향분석을 벗어나, 유용한 분석이 가능한 것으로 나타나고 있 다. 본 연구는 냉동만두류를 생성하는 2개 업체의 각각 1년 동안 실험된 일반세균 자료를 갖고, 확률분포 모델 활용의 타당성과 업체간의 위생수준 상호비교 그리고 예상되는 위해 발생 예측에 적용 검토하였다. 그 결과 정량적인 미생물 자료에 대한 확률분포 모델의 적용은 식품산업체에서 일반세균수에 의한 위해발생 가능성을 예측하고 안전관리 수준을 결정하는데 유용한 것으로 판단되었다.

This study is to develop and operate the R-FCE(Real-time Fuzzy Control Expert System) model on the SBR(Sequency Batch Reactors) type sewage disposal facility which is for the environmental problem of future and the effective treatment. It is the system that regularly handles the input, output information in real time by the Fuzzy control IF-THEN rule. Nowadays the water pollution caused by the increase of population and the industrialization already exceeds the purifying ability of nature and is getting worse. The sewage disposal facility needs an expert having wide experience and know-how because the quality or quantity of inflow water is so irregular that the process of sewage disposal is difficult. In the nation, however, the accumulation of technology is so weak because field-operators avoid the long-term duty. So the accurate and speedy decision or control of field are difficult in the case of emergency situation.

In this paper, we address a mining association rules with weighted items and multiple minimum support. We generalize this to the case where items are given weights to reflect their importance to the user. And to find rules that involve both frequent and rare items, we specify multiple minimum supports to reflect the frequency of the items. In rule mining, different rules may need to satisfy different minimum supports depending on what items are in the rules.

In this paper, we present a temporal association rules based on item time intervals. A temporal association rules is an association rule that holds specific time intervals. If we consider itemset in the frequently purchased period, we can discovery more significant itemset satisfying minimum support. Because the previous study did not consider the time interval between purchased item, it could find itemset that did not satisfy the minimum support in case some item was frequently purchased in a specific period and rarely or not purchased in other period. Our approach use interval support which is counted by period with support and confidence in the association rule to discovery large itemset.

제어기 포화를 고려한 비선형 제어 알고리듬은 폭넓게 연구되었으나 비선형성과 확률밀도함수(PDF)의 해석해가 존재하지 않기 때문에 알고리듬의 확률적 연구가 미진하여 왔다. 본 연구에서는, 제어기포화를 고려한 비선형 제어 알고리듬의 확률적 해석 방법이 등가 비선형 시스템 방법에 기초하여 제안되었다. 가우시안 백색잡음과 Kanai-Tagimi 필터통과 백색잡음에 의한 구조물 응답에 대하여 제안된 PDF 근사식을 이용하여 얻어진 결과를 통계적으로 얻어진 구조물 응답 PDF와 비교하여 정확성을 검증하였다.

We study data mining technique in an electronic commerce. Customers travel web pages in an shopping mall and they sometimes purchase products. It is important for a web master in a shopping mall to know customer's purchasing patterns. We discover both association rules among customer's purchasing products and customer's traversal paths. We propose three phase mining technique to explore it. In the first phase, it find large items from sales database. In the second phase, it add to traversal paths. In the third phase, it discover associations rules from large items.

The responses of composite laminated beams modeled with finite element and excited by stochastic loading are studied. The cantilevered laminated beam having a 5 ply configuration is considered. The beam is 1m long, 0.1m wide, and 0.02m thick, yielding a length to thickness ratio of L/h=50. The laminated beams was assumed to be made of Born Epoxy. The four nodes at the free end of the cantilever were loaded with identical zero-mean white noise excitations. Stress and failure analysis loaded with identical zero-mean white noise excitations is carried out. Along with the obtained results, comparison and discussion are presented for the cases of symmetric-ply, antisymmetric-ply, angle-ply, and cross-ply laminated beams.

Gradually recent automatic systems require how to manipulate all shared internal resources of system including components manufacturing equipments. Especially practical operation schedulings of manufacturing are gradually inevitable procedures in dynamic industrial environments. We suggest and evaluate a dynamic scheduling rule of machine and material handling system for on-line operation in job shop type FMS. Because alternating status should be included in operation scheduling procedures effectively and without delay in dynamic industrial environments, the mutual interaction between the machine operation scheduling and AGV dispatching rule was also studied to be based on simulation. This study compared the performance of the evaluation which was obtained from Dynamic Scheduling of FMS, and developed the Priority Rule Matrix for switching mechanism in dynamic environment by using those results.

두 가지 유해인자가 동시에 작용할 때 생물체에 나타나는 영향은 길항작용에서 상승작용에 이르기까지 폭넓게 나타난다. 상승작용의 생물학적 중요성에도 불구하고 유해인자간의 복합작용을 설명할 수 있는 구체적 연구결과들은 별로 없는 실정이다. 본 연구는 고온과 기타 환경 유해인자의 복합작용에 의해 생물체에 나타내는 반응에 있어서의 규칙성을 도출해 내기 위하여 수행되었다. 고온과 이온화방사선, 자외선, 초음파 등의 동시작용에 관한 효모세포 실험결과를 분석하였으며

본 논문에서는 비선형 추계적 구조시스템의 지진에 대한 동적응답 해석방법을 제안하였다. 부분구조합성법에 기초한 섭동법을 응용하여 지진외력에 의한 불규칙진동의 시간응답과 주파수응답 해석과정을 정식화하였다. 이 방법에서는 대형 .동적 시스템의 지배방정식인 비선형 미분방정식을 몇 개의 비선형 모달방정식으로 근사 변환한다. 각 분계는 비선형 복원력항을 모드좌표로 근사변환함으로써 선형화하여 합성되어진다. 모드좌표에서 섭동법을 이용하여 비선형 운동방정식의 불규칙 진동에 대한 해를 구함으로 해석과정이 축소되어진다. 제안된 방법의 적합성과 유효성을 평가하기 위하여 비선형성을 가진 기계구조 시스템을 해석하였다. 이 해석결과는 불규칙 진동 응답을 해석하는데 유효한 접근방법으로 판단되며 내진 설계에 기여할 것으로 예상된다.

Composite materials also known as fiber reinforced plastics have been developed and used in many engineering applications due to their outstanding mechanical properties. Laminated plates as structural components that are made of in composite material are widely used. Therefore, nonlinear response of laminated composite plates modeled with finite elements and excited by stochastic loading is studied. The classical laminated plate theory is used to account for the variation of strains through the thickness for modeling laminated thin plates. Approximate nonlinear random vibration analysis is performed using the method of equivalent linearization to account for material non-linearity.

1. 수축기 혈압은 운동을 하고 있는 군에서 약간 낮았으나 이완기 혈압은 유의성 있는 차이를 보이지 않았다. 운동을 하고 있는 여대생의 경우 체지방량이 낮게 나타난 반면 제지방량은 변화가 없어 운동 여부에 의한 차이가 거의 보이지 않았다. 또 혈중 포도당 함량은 규칙적인 운동을 하고 있는 여대생에서 다소 높은 수준이었다. 2. 체지방율은 지속적인 운동을 하고 있는 여대생에서 유의성은 없었지만 약간 낮았으며 혈청 총콜레스테롤과 중성지방의 농도 역시 유의성 있게 낮게 나타났다. HDL 콜레스테롤 농도는 두 군 모두 거의 비슷한 수준으로 군간에 뚜렷한 차이를 보이지 않았던 반면 LDL 콜레스테롤의 경우 운동에 의해서 유의성 있게 낮게 나타났다. 따라서 규칙적인 운동에 의해서 HDL-Chol/Total-Chol 비율은 증가되었으며 LDL-Chol/HDL-Chol의 비율은 낮았다. 3. 혈액중 지단백질의 상대적인 분포는 HDL(%)의 경우 지속적인 운동을 하고 있는 여대생의 경우 일반 여대생에 비해 거의 차이가 없었고LDL(%)는 유의성 있게 낮았던 반면 VLDL(%)는 오히려 높게 나타났다. Plasma의 지방산 조성중 포화 지방산 함량은 운동을 하고 있는 여대생에서 약간 높았지만 다가 불포화 지방산 함량은 같은 수준으로 두 군간에 차이를 보이지 않았다.

The purpose of this study was to investigate to the effect of regular exercise on nutrients intakes and energy balance related to food habit and nutrient knowledge of college women. This study was conducted from May to June in 2000. One hundred and forty female students made their three day dietary records by 24-hr recall method and one day activity record. The questionaires were designed to fine out food habit and nutrition knowledge status. The height, weight and blood pressure were measured and also body fat mass and lean body mass measurements were performed. The results obtained are summerized as follows Average height and weight of E(exercise) group were found to be increased than those of NE(non -exercise) group. The percent of body fat and body fat mass(㎏) in E group were slightly lower than those of NE group. Calorie intake of NE group was 1, 664㎉ per day, This was composed of carbohydrate 60%㎉, protein 14%㎉ and fat 24%㎉. Calorie, calcium, iron, vitamin A, vitamin B_2 and niacin intakes of NE group were lower than those of RDA and calorie intake of E group was 2, 313㎉ per day. This was composed of carbohydrate 54%, protein 13% and fat 31%. Other nutrients such as iron, vitamin A, niacin and vitamin C were lower than those of RDA. Daily energy expenditure and physical activity of E group were 2, 397.6±49.2㎉, 1, 035.7±36.5㎉, respectively and it was higher than those of NE group.