• 한국정보처리학회논문지
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• 제3권6호
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• pp.1468-1472
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• 1996

본 연구에서는 CART(Classification and Regression Tree)가 예측을 함에 있어 통계적인 기법인 discriminant analysis와 비교된다. 은행 데이터를 사용하는 경우 discriminant analysis가 더 나은 성능을 보여줬으며, 보험 회사 데이터를 사용한 경 우 CART가 더 나은 성능을 보여줬다. 이러한 모순된 결과가 데이터의 성격을 분석함 으로 해석된다. 본 연구에서는 두가지 모델 모두 사용된 매개변수들인 사전 확률, 데 이터, 타입 I/II오류 코스트, 검증 방법에 의해 성능의 차이를 보여줬다.

• 산업경영시스템학회지
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• 제18권35호
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• pp.17-24
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• 1995

The classification of quality costs by item is essencial to sum up the entire quality cost but the reality of classifying the quality cost by the firm is facing with difficulty in terms of grouping the concerned items. Meanwhile, the classification of items and calculating method of quality costs should be prepared in adcance with a certain standards and or regulations to figure out the accurate quality costs successfuly. This case study provides the contents of quality costs calulated by item and the method of calculation in detail which is applicable to automobile component industry md, also introduce how to set up the computing system of quality costs.

• 한국지반공학회지:지반
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• 제14권1호
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• pp.29-36
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• 1998

본 논문에서는 이분적 암반분류 방법 보다 일반적인 다분적 암반분류 방법의 응용에 관해 연구하였다. 특히, 정성적 데이타를 체계적으로 이용할 수 있는 방법이 모색되었다. 응용 예를 통해 Bieniawski의 암반평가 시스템 (rock mass rating system, RMR)과 같이 암반을 두개 이상의 다등급으로 분류할 경우 본 논문에 제시된 방법이 효과적으로 사용될 수 있고 체계적인 암반조사를 위해 크게 기여할 것으로 생각된다. 또한, 오차에 대응하는 비용(cost of errors)의 기대값이 암반조사를 위한 시추 방법이 잘 계획되었는지에 관한 평가척도로 이용될 수 있음을 알았다.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.176-181
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• 2011

A role of cost modeler is that of facilitating design process by the systematic application of cost factors so as to maintain sensible and economic relationships between cost, quantity, utility and appearance. These relationships help to achieve the client's requirements within an agreed budget. The purpose of this study is to develop a parametric cost estimating model for the early design stage by using the multi-dimensional system of OLAP (On-line Analytical Processing) based on the case of quantity data related to architectural design features. The parametric cost estimating models have been adopted to support decision making in the early design stage. These models typically use a similar instance or a pattern of historical case. In order to effectively use this type of data model, it is required to set data classification and prediction methods. One of the methods is to find the similar class in line with attribute selection measure in the multi-dimensional data model. Therefore, this research is to analyze the relevance attribute influenced by architectural design features with the subject of case-based quantity data used for the parametric cost estimating model. The relevance attributes can be analyzed by Analytical Characterization. It helps determine what attributes to be included in the OLAP multi-dimension.

• Journal of Advanced Research in Ocean Engineering
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• 제2권4호
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• pp.202-208
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• 2016

In this paper, we propose novel seabed sediment classification algorithm using feature obtained by continuous wavelet transform (CWT). Contrast to previous researches using direct reflection coefficient of seabed which is function of frequency and is highly influenced by sediment types, we develop an algorithm using both direct reflection signal and backscattering signal. In order to obtain feature vector, we employ CWT of the signal and obtain histograms extracted from local binary patterns of the scalogram. The proposed algorithm also adopts principal component analysis (PCA) to reduce dimension of the feature vector so that it requires low computational cost to classify seabed sediment. For training and classification, we adopts K-means clustering algorithm which can be done with low computational cost and does not require prior information of the sediment. To verify the proposed algorithm, we obtain field data measured at near Jeju island and show that the proposed classification algorithm has reliable discrimination performance by comparing the classification results with actual physical properties of the sediments.

• 대한안전경영과학회지
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• 제4권4호
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• pp.15-26
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• 2002

The quantitative evaluation method of the safety management cost was suggested to prevent a gas accident as a major industrial accident. In a gas governor station, process risk assessments such as the fault tree analysis(FTA) and the consequence analysis were performed. Based on process risk assessments, potential accident costs were estimated and the cost-benefit analysis(CBA) was performed. From the cost-benefit analysis for five classification items of safety management cost, the order of the cost/benefit ratio was estimated.

• 한국군사과학기술학회지
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• 제24권3호
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• pp.281-292
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• 2021

With the development of deep learning technology, researchers and technicians keep attempting to apply deep learning in various industrial and academic fields, including the defense. Most of these attempts assume that the data are balanced. In reality, since lots of the data are imbalanced, the classifier is not properly built and the model's performance can be low. Therefore, this study proposes cost-sensitive learning as a solution to the imbalance data problem of image classification in the defense field. In the proposed model, cost-sensitive learning is a method of giving a high weight on the cost function of a minority class. The results of cost-sensitive based model shows the test F1-score is higher when cost-sensitive learning is applied than general learning's through 160 experiments using submarine/non-submarine dataset and warship/non-warship dataset. Furthermore, statistical tests are conducted and the results are shown significantly.

• 한국실내디자인학회논문집
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• 제23호
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• pp.68-73
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• 2000

The purpose of this research is to develop interior construction cost-estimating system at the early stage of the project. Though general construction estimates are typically in quantitative, interior construction should be in rather qualitative. Therefore, design-concerned cost-estimating methods should be developed to manage interior projects from the early statge. 30 estimates of VIP-Zone interior projects, were examined to develop the general type of composition and material classification. The cost has been classified by construction parts such as wall, ceiling, floor, and doors & windows and their treatments. The composition and material related estimating system (CMRES) was consisted of the unit average costs of classification and the variation coefficients. The CMRESS was verified by the case study, and the results sowed that the difference between the actual estimate and the CMRES was competitively confident.

• 디지털산업정보학회논문지
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• 제13권4호
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• pp.91-98
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• 2017

Previous works for detecting arrhythmia have mostly used nonlinear method such as artificial neural network, fuzzy theory, support vector machine to increase classification accuracy. Most methods require higher computational cost and larger processing time. Therefore it is necessary to design efficient algorithm that classifies PVC(premature ventricular contraction) and decreases computational cost by accurately detecting minimal feature point based on only R peak through optimal R wave. We propose an optimal R wave detection and PVC classification method through extracting minimal feature point in IoT environment. For this purpose, we detected R wave through optimal threshold value and extracted RR interval and R peak pattern from noise-free ECG signal through the preprocessing method. Also, we classified PVC in realtime through RR interval and R peak pattern. The performance of R wave detection and PVC classification is evaluated by using record of MIT-BIH arrhythmia database. The achieved scores indicate the average of 99.758% in R wave detection and the rate of 93.94% in PVC classification.

• 한국지반공학회지:지반
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• 제11권2호
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• pp.71-78
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• 1995

본 논문에서는 RMR법이나 Q시스템 등의 암반분류법에서와 같이 암반을 여러 등급으로 분류하는 연구가 수행되었다. 특히, 정량적 자료가 제한된 상황에서의 정성적 자료의 체계적이고 합리적인 이용 방법이 모색되었다. 이를 위해서, 지구통계학(geostatistics)기법이 사용되었는데, 특히, 비모수적 방법 중의 하나인 지시크리깅(indicator kriging) 기법이 사용되었으며, 최적 분류를 위한 선택기준으로는 오차에 대응하는 비용(the cost of error)가 사용되었다. 결과적으로, 기존에 개발된 이분적 암반분류에서 다분적 암반분류로의 일반화가 가능하게 되었으며, 분류등 급의 총수에는 제한이 없다.