• 한국ITS학회 논문지
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• 제13권1호
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• pp.109-126
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• 2014

도로용량편람에서 제시하는 서비스수준은 새로운 교통시설 설치 또는 기존 시설 확장에 근거로 사용되고 있다. 신호교차로 서비스수준 분석은 다섯 단계로 진행되는데 그 중 3단계는 차로군 분류 단계이다. 이 단계에서 분류된 차로군으로 연속적인 분석을 진행하기 때문에 서비스수준 분석 시 중요한 요소 중 하나이다. 하지만 본 연구에서 분석한 결과 회전교통량이 적은 경우에도 불구하고 실질적 전용회전차로군으로 분류되는 점을 발견하였다. 이러한 문제점에 대한 대안으로 USHCM의 차로군 분류 방법을 차용하는 방법, 공용차로 당 회전별 교통량 비율을 사용하는 방법 그리고 기준 회전교통량 이하인 경우 통합차로군으로 분류하는 방법 세 가지를 제시하였고 정산한 CORSIM 시뮬레이션과 비교해보았다. 본 논문에서는 각각 방법의 결과 및 한계점을 제시하였고 추후 다양한 네트워크에 대하여 연구가 필요하다는 결론을 내렸다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
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• pp.85-88
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• 2000

본 논문은 Threshold Logic Unit(TLU)를 기본 뉴런으로 하여 최소화된 이진신경회로망을 합성하는 방법인 MSP Term Grouping(MTG) 알고리즘의 time complexity를 분석하고자 한다. 이를 전체 패턴 탐색을 통한 이진신경회로망 합성의 경우와 비교하여 MTG 알고리즘의 효용성을 보여준다.

• Asian-Australasian Journal of Animal Sciences
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• 제4권3호
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• pp.245-250
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• 1991

Analysis of the characteristics and the grouping of the species of sown and weeds in artificial pastures was studied applying the principal component analysis method. Presency and coverage of six sown species and fifteen weed species which occurred in pastures of under-grazing and optimumgrazing were subject to analysis. From field survey, species were divided into three groups: the group A included five species such as Festuca arundinacea, Lolium perenne and Dactylis glomerata, etc., the group B included eleven species such as Polygonum longisetum, Agrostis alba and Rumex obtusifolius, etc., and the group C included five species such as Miscanthus sinensis, Rubus palmatus and Artemisia princeps, etc. The group A species corresponded to good pasture conditions and management. On the contrary, the group C species occurred in poor pasture conditions with inadequate management. The group B species corresponded to intermediate pasture conditions and management. Interrelated pair species co-existing and species non-co-existing were discovered. Factor loading as negative for the group A species. positive for the group C species and positive but lower than the group C species for the group B species. From these results it is concluded that the principal component analysis seems to one of the useful tools for the analysis of characteristics of species and the diagnosis of sown pasture vegetation, although further studies are required to get more general information about species characteristics.

• 한국멀티미디어학회논문지
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• 제7권10호
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• pp.1354-1369
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• 2004

본 논문에서는 웹 문서를 XML 문서로 변환하기 위한 논리적 구조분석 방법을 제안한다. 제안된 방법은 비주얼 그룹화, 요소 식별, 그리고 논리적 그룹화의 세 단계로 구성된다. 특히 정교한 수준의 논리적 구조분석을 지원하기 위하여 특정 주제에 속하는 문서 유형의 논리적 계층 구조를 효과적으로 기술할 수 있는 문서 모델을 정의한다. 제안된 방법은 비주얼 그룹화를 통해서 추출된 시각적 계층구조와 문서 유형에 대한 논리적 구조 정보를 기술한 문서 모델에 기반하기 때문에 보다 정교한 수준의 구조 분석을 지원한다. 제안된 방법의 성능을 평가하기 위하여 웹으로부터 추출한 다수의 HTML 문서를 대상으로 실험한 결과, 기존 연구와 비교하여 논리적 구조분석을 성공적으로 수행하였다. 제안된 방법은 논리적 구조분석의 최종 결과로서 XML문서를 생성하기 때문에 문서의 재 사용성을 높인다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2005년도 춘계학술대회논문집
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• pp.794-799
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• 2005

The failure of blades frequently happened in the 300MW LP turbine until now and they are maintaining the blades periodically during outage. So the blade-disk system is analysed by FEM in order to identify the main cause of failure of blade row. It is found that the stress of root's hole is highest in comparison with other parts from the result of the steady stress analysis. Also, the two dangerous frequencies which is related to the resonance condition are found in the interference diagram. one is 1,516 Hz which is related to the operating speed. The other is 2,981 Hz which is related to the 1 nozzle passing frequency. The dynamic stress analysis is per-formed to identify more accurate root cause for failure of blade row. It is confirmed that the dynamic stress of the latter is higher than one of the former. From these results, it is concluded that the former has deeply something to do with the failure of blades more than the latter. Based on versatile investigation and deliberation, the change of blade's grouping is determined to avoid the resonance condition with the operating speed. After the blade grouping is changed, the former frequency vanish completely but the latter is still in existence in the interference diagram. Fortunately, It is confirmed that the dynamic stress of the new blade grouping is lower than one of the old blade grouping. 2 years has passed since modification and the LP turbine is operated well without failure so far.

• 한국소음진동공학회논문집
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• 제15권9호
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• pp.1100-1107
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• 2005

The failure of blades frequently happened in the 300 MW LP(low pressure) turbine until now and they are maintaining the blades periodically during outage. So the blade-disk system is analysed by FEM in order to identify the main cause of failure of blade row. It is found that the stress of root's hole is highest in comparison with other parts from the result of the steady stress analysis. Also, the two dangerous frequencies which is related to the resonance condition are found in the interference diagram. One is 1,316 Hz. The other is 2,981 Hz which is related to the 1 nozzle passing frequency. The dynamic stress analysis is performed to identify more accurate root cause for failure of blade row It is confirmed that the dynamic stress of the former is higher than one of the latter From these results, it is concluded that the former has deeply something to do with the failure of blades more than the tatter. Based on versatile investigation and deliberation, the change of blade's grouping is determined to avoid the resonance condition with the operating speed. After the blade grouping is changed, the former frequency vanish completely but the latter is still in existence in the interference diagram. Fortunately, It is confirmed that the dynamic stress of the new blade grouping is lower than one of the old blade grouping. 2 years has passed since modification and the LP turbine is operated well without failure so far.

• 한국안전학회지
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• 제20권4호
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• pp.130-137
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• 2005

Decision tree algorithm is one of the data mining techniques, which conducts grouping or prediction into several sub-groups from interested groups. This technique can analyze a feature of type on groups and can be used to detect differences in the type of industrial accidents. This paper uses C4.5 algorithm for the feature analysis. The data set consists of 24,887 features through data selection from total data of 25,159 taken from 2 year observation of industrial accidents in Korea For the purpose of this paper, one target value and eight independent variables are detailed by type of industrial accidents. There are 222 total tree nodes and 151 leaf nodes after grouping. This paper Provides an acceptable level of accuracy(%) and error rate(%) in order to measure tree accuracy about created trees. The objective of this paper is to analyze the efficiency of the C4.5 algorithm to classify types of industrial accidents data and thereby identify potential weak points in disaster risk grouping.

• 한국초등과학교육학회지:초등과학교육
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• 제39권3호
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• pp.323-337
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• 2020

To achieve effective learning, knowledge must be shared and developed through interaction with peer learners. Therefore, science education emphasizes small group inquiry activities that solves tasks through the interaction of members. The effect of small group inquiry activities depends on how to compose small groups. The way in which a group is composed is a very important factor for improving interaction. In particular, it has been reported that the gender of peer is a very important factor in the interaction between students in the composition of small groups. Meanwhile, studies are being conducted on the types and stability of verbal interactions in small group inquiry activities using social network analysis. The purpose of this study is to analyze the types and stability of verbal interaction types and stability according to gender-grouping in elementary school students' small group activities using social network analysis. To this end, 60 5th graders in elementary school were conducted with different gender in the composition of the group of male, female and mixed-gender students. The study found that the composition of a group by gender had little impact on the type or stability of verbal interaction. However, the frequency of verbal interactions was higher in mixed-gender groups than in other groups. Through this process, the gender-grouping in elementary school students' small group activities suggests a mixed-gender group.

• 한국물환경학회지
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• 제28권1호
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• pp.18-25
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• 2012

For effective watershed management, it is very important to select the tributaries through selection and concentration of targeted tributary catchments for improving water quality within the limited financial conditions. This study introduced the selection and diagnosis procedure of tributary catchments for improving water quality at Chungcheongnam-do based on water quality and flowrate monitoring, stream grouping method. The tributaries with high value of water quality and flowrate were selected for improving water quality according to stream grouping method. The diagnosis of selected tributaries for improving water quality was performed with analysis of the pollution load (generated, discharged, delivered) and point source discharged pollution load density. The plans for improving water quality of tributaries were suggested thorough various diagnosis of tributary catchments. For improving water quality of tributaries in Chungcheongnam-do, the tributary catchments in the Dangjin, Asan, Yesan, Cheonan, Hongseong area should be preferentially considered. The water quality improving plans for those tributary catchments, in accordance with the reduction of sources of pollution by population and livestock, should be established.

• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.280-284
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• 2020

In the rapidly changing science and technology environment, an in-depth understanding of users of STEM information is an essential factor in designing a user-centered information system. The purpose of this study is to investigate and analyze in-depth the behaviors and needs of users who use STEM information. In this study, the needs of users for STEM information and STEM information sites are dealt with in depth using the FGI qualitative method. In addition, it includes the analysis results of grouping of similar sites according to various aspects of use of STEM information sites. As a result of grouping similar sites based on awareness and level of use,, they were grouped by domestic-international, paid-free, integrated-specific fields. As a result of grouping similar sites according to the purpose of use, they were grouped by domestic and international papers, research reports, and patents. As a result of grouping similar sites according to usage attributes, they were grouped by diversity, reliability, and specialization. As for the positions of similar sites perceived by users, Science Direct and PubMed showed high specialization and high quality, Google Scholar showed integration and popularity, and RISS showed four attributes evenly. Suggestions for information system design are discussed.