• Title/Summary/Keyword: 분류계수

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A Study on the Adjustmemt factor in the Criterion of the Software Cost Estimation (소프트웨어 개발비 대가기준의 보정계수 개선)

  • Byun, Boon-Hee;Kwon, Ki-Tae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.209-212
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    • 2007
  • 소프트웨어 개발 초기 단계에서 소프트웨어 개발비용을 정확하게 예측하는 것은 프로젝트의 성패를 결정짓는 중요한 요소이다. 정확한 예측을 위해서는 빠르게 변화하는 개발 환경 및 기술 변화에 따른 변경 요인을 비용 산정 과정 시 반영시켜야 하며 이를 위해서는 비용 산정 과정 시 적절한 보정계수 선정과 보정계수 값 적용이 중요시된다. 이에 본 논문에서는 어플리케이션 유형 보정계수 개선을 위하여 어플리케이션 유형을 새로 분류한 후 AHP 기법을 적용하여 보정계수를 유도하였다. 또한 개발언어 보정계수 유도에서는 프로그래밍 언어 레벨을 이용하여 프로그래밍 언어별 보정계수를 새롭게 유도하여 보았다. 향후 연구 과제로는 새롭게 제안된 어플리케이션 유형 분류 및 보정계수와 프로그래밍 언어 레벨을 적용한 개발 언어 보정계수를 실제 데이터에 적용하여 비용 예측의 정확도가 얼마나 향상되었는지 검증하고자 한다.

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Comparison of Variable Importance Measures in Tree-based Classification (나무구조의 분류분석에서 변수 중요도에 대한 고찰)

  • Kim, Na-Young;Lee, Eun-Kyung
    • The Korean Journal of Applied Statistics
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    • v.27 no.5
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    • pp.717-729
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    • 2014
  • Projection pursuit classification tree uses a 1-dimensional projection with the view of the most separating classes in each node. These projection coefficients contain information distinguishing two groups of classes from each other and can be used to calculate the importance measure of classification in each variable. This paper reviews the variable importance measure with increasing interest in line with growing data size. We compared the performances of projection pursuit classification tree with those of classification and regression tree(CART) and random forest. Projection pursuit classification tree are found to produce better performance in most cases, particularly with highly correlated variables. The importance measure of projection pursuit classification tree performs slightly better than the importance measure of random forest.

Development of Site Classification System and Modification of Design Response Spectra considering Geotechnical Site Characteristics in Korea (III) - Modification of Desing Response Specra (국내 지반특성에 적합한 지반분류 방법 및 설계응답스펙트럼 개선에 대한 연구 (III) - 설계응답스펙트럼 개선방법)

  • Yoon, Jong-Ku;Kim, Dong-Soo;Bang, Eun-Seok
    • Journal of the Earthquake Engineering Society of Korea
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    • v.10 no.2 s.48
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    • pp.63-71
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    • 2006
  • In the companion paper (II, Development of Site Classification System), new size classification system based on site periods $(T_G)$ was recommended for legions of shallow bedrock depth in Korea. Despite the site classification method was improved, the response spectrum would be required to be modified by adjusting the integration interval to calculate the site coefficients because the response spectra did not match well the average spectral accelerations obtained by site response analyses in the range of long periods. In this paper, new response spectra for each site categories were determined by adjusting the integration interval of long period site coefficient $F_v\;from\;0.4{\sim}2.0\;to\;0.4{\sim}1.5$ second. It matched well the average spectral accelerations and new response spectrum, and it was also improved compared to the current she classification system.

Classification of National Highway by Factor Analysis (요인분석을 활용한 일반국도 유형분류)

  • Lim, Sung-Han;Ha, Jung-A;Oh, Ju-Sam
    • International Journal of Highway Engineering
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    • v.7 no.3 s.25
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    • pp.43-52
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    • 2005
  • Highway classification is an essential part of defining design criteria of roads. This study is to classify highways by factor analysis. To accomplish the objectives, factor analysis is performed for classifying highways using the traffic data observed at the permanent traffic count points in 2004. A total off variables are applied : AADT, K factor, D factor, heavy vehicle proportion, day time traffic volume proportion, peak hour volume proportion, sunday factor, vacation factor and COV(Coefficient of Variation). The results of factor analysis show that variables are divided into two factors, which are the factor related to the fluctuational characteristics of traffic volume and the factor related to heavy vehicle and directional volume characteristics. According to the results of cluster analysis, 353 permanent traffic count points are categorized into such three groups as type I for urban highway, type II for rural highway, type III for recreational highway, respectively.

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Study on the Classification of Weak Rock by Test Blast (시험발파에 의한 연약암반 평가에 대한 연구)

  • 선우춘;전양수;천대성;한공창
    • Explosives and Blasting
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    • v.21 no.4
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    • pp.1-10
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    • 2003
  • The classification of weak rocks is normally connected with the rippability classifications. The excavation of rock is frequently carried out by blasting. A classification of the weak rocks by test blasting with small quantity of explosives was attempted in the present study. The crater ratio and blasting constant that resoled from test blasting were used as a e parameter of the classification. The seismic velocity of rock mass and Protodyakonov's index were also applied for the also rock classification.

Development of a Clustering Model for Automatic Knowledge Classification (지식 분류의 자동화를 위한 클러스터링 모형 연구)

  • 정영미;이재윤
    • Journal of the Korean Society for information Management
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    • v.18 no.2
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    • pp.203-230
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    • 2001
  • The purpose of this study is to develop a document clustering model for automatic classification of knowledge. Two test collections of newspaper article texts and journal article abstracts are built for the clustering experiment. Various feature reduction criteria as well as term weighting methods are applied to the term sets of the test collections, and cosine and Jaccard coefficients are used as similarity measures. The performances of complete linkage and K-means clustering algorithms are compared using different feature selection methods and various term weights. It was found that complete linkage clustering outperforms K-means algorithm and feature reduction up to almost 10% of the total feature sets does not lower the performance of document clustering to any significant extent.

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Optimal threshold using the correlation coefficient for the confusion matrix (혼동행렬의 상관계수를 이용한 최적분류점)

  • Hong, Chong Sun;Oh, Se Hyeon;Choi, Ye Won
    • The Korean Journal of Applied Statistics
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    • v.35 no.1
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    • pp.77-91
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    • 2022
  • The optimal threshold estimation is considered in order to discriminate the mixture distribution in the fields of Biostatistics and credit evaluation. There exists well-known various accuracy measures that examine the discriminant power. Recently, Matthews correlation coefficient and the F1 statistic were studied to estimate optimal thresholds. In this study, we explore whether these accuracy measures are appropriate for the optimal threshold to discriminate the mixture distribution. It is found that some accuracy measures that depend on the sample size are not appropriate when two sample sizes are much different. Moreover, an alternative method for finding the optimal threshold is proposed using the correlation coefficient that defines the ratio of the confusion matrix, and the usefulness and utility of this method are also discusses.

Estimation of Geotechnical Characteristics at of the Marine Clay at Inchon International Airport Marine Clay Using Piezocone and Dilatometer Tests (CPTu와 DMT를 이용한 인천국제공항 해성점토의 공학적 특성연구)

  • 김종국;김영웅;최인걸;박영목
    • Journal of the Korean Geotechnical Society
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    • v.17 no.2
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    • pp.41-49
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    • 2001
  • 본 연구에서는 2단계 확정예정부지의 일부 원지반에서 수행된 CPTu(piezocone penetration test)와 DMT(dilatometer) 및 실내시험 결과를 바탕으로 흙의 분류, 비배수전단강도 그리고 압밀계수 등의 공학적 특성을 살펴보았다. CPTu와 DMT를 이용한 흙의 분류 결과, 점토층 사이에 얇게 산재한 샌드심(sand seam)층을 보다 정확하게 판정할 수 있었다. 삼축압축시험의 비배수 강도($S_{u}$ )를 기준으로 산정한 콘계수는 CPTu의 경우 $N_{k}$ =18.2를, DMT의 경우 Roque(1988)의 제안식을 이용한 $N_{c}$=6.35로 추정한 비배수전단강도가 비교적 일치하는 것으로 나타났다. 또한 CPTu와 DMT를 이용한 수평압밀계수는 비교적 근사한 것을 알 수 있었다. 그러나, 해성점토사이에 실트, 샌드심이 존재하는 실트질 지반에서의 수평압밀계수가 연직압밀계수보다 상당히 크며, 압밀계수비($C_{h(Oedo, CPTu, DMT)}$ /$C_{v Oedo}$ )는 4.3~10.2로 큰 차이를 보이고 있다.

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A Measurement of Relationship among Similarity Coefficients for Document Clustering (문헌 클러스터링을 위한 유사계수간의 연관성 측정)

  • 한승희;이재윤
    • Proceedings of the Korean Society for Information Management Conference
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    • 1999.08a
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    • pp.25-28
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    • 1999
  • 자동분류나 정보검색에 주로 이용되는 문헌 클러스터링에서는 문헌간의 유사성을 측정하기 위해 다양한 유사계수를 이용하는데, 모든 유사계수가 동일한 클러스터링 결과를 가져오는 것은 아니다. 본고에서는 50건의 신문기사를 대상으로 SPSS 통계 패키지를 이용하여 다양한 유사계수에 각각 달라지는 문헌 클러스터링의 결과를 살펴본 후, 유사계수간의 연관성을 측정하였다.

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Computer Aided Design of the Fore and After Body of Fishing Vessel by Using B-Spline (B-Spline을 이용한 어선의 선수미부 초기 선형 설계)

  • Kim, Dong-Jun;Hong, Bong-Gi
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.27 no.1
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    • pp.75-82
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    • 1991
  • The present paper describes a preliminary design method by using the computer graphics for creation of the fore and after body profiles of fishing vessel. It is well known that the Form Parameter design method has some merits at an early stage of design, and the B-spline curve generation technique has some prior properties in representing hull form with the computer graphic. The B-spline curve generation technique combined with the form parameter design method is employed to generate the profiles of fishing vessel. For fore body the stem profiles with bulbous bulb or without one are considered. And for after body the stern profiles of cruiser type and the transom type are generated with stern bulb or with shoe piece. Several examples will shown.

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