• Journal of the Korean Society for information Management
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• v.25 no.1
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• pp.211-233
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• 2008

This study examines various weighting methods for improving the performance of automatic classification based on Rocchio algorithm on two collections(LISA, Reuters-21578). First, three factors for weighting are identified as document factor, document factor, category factor for each weighting schemes, the performance of each was investigated. Second, the performance of combined weighting methods between the single schemes were examined. As a result, for the single schemes based on each factor, category-factor-based schemes showed the best performance, document set-factor-based schemes the second, and document-factor-based schemes the worst. For the combined weighting schemes, the schemes(idf*cat) which combine document set factor with category factor show better performance than the combined schemes(tf*cat or ltf*cat) which combine document factor with category factor as well as the common schemes (tfidf or ltfidf) that combining document factor with document set factor. However, according to the results of comparing the single weighting schemes with combined weighting schemes in the view of the collections, while category-factor-based schemes(cat only) perform best on LISA, the combined schemes(idf*cat) which combine document set factor with category factor showed best performance on the Reuters-21578. Therefore for the practical application of the weighting methods, it needs careful consideration of the categories in a collection for automatic classification.

• Journal of Software Assessment and Valuation
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• v.17 no.1
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• pp.1-9
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• 2021

In disputes involving contracts for work, most issues boil down a single, most crucial, underlying question: whether the agreed work was completed. The same applies to software development services, which are usually usually provided under contracts for work. In disputes arising from software development contracts, appraisal is commonly used to determine the completeness of the software in question. However, it is often difficult to ensure the objectivity of the appraisal. This study examines past cases involving the determination of software completeness to identify the method used in each case. Then, based on the findings, this study identifies issues requiring improvements to ensure objective determination of completeness.

• The Korean Journal of Applied Statistics
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• v.21 no.3
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• pp.413-427
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• 2008

In sample design, it is usually planned by purpose and the range of the announcing statistics from the survey. After survey, getting a proper and decent statistics, applying the proper weights on the results of survey is very important and necessary. Therefore in this study, three estimation methods which are raking, BLS and general linear regression method are compared with MSE, Coverage, CV, LE and NC.

• Journal of Software Assessment and Valuation
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• v.15 no.1
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• pp.25-35
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• 2019

In Korea, the calculation of quantitative similarity is commonly used to gauge the substantial similarity of computer programs. Substantial similarity should be assessed by considering the quantity and quality of areas that show similarity, but in practice, qualitative aspects are reflected by multiplying the weighted value in the calculation of quantitative similarity. However, such a practical method cannot be deemed adequate, considering the fundamental characteristic of the judgment on substantial similarity, which holds that the quantitative and qualitative aspects of similar areas should be considered on an equal footing. Thus, this study pointed out the issue regarding the use of weighted value and sought appropriate ways to take into account qualitative aspects when assessing the substantial similarity of computer programs.

• The Korean Journal of Applied Statistics
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• v.29 no.7
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• pp.1173-1183
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• 2016

In this paper, we proposed an information security risk index to diagnose users' malware infection situations (such as computer virus and adware) by gathering data from KT network systems. To develop the information security risk index, we used the analytic hierarchy process methodology and estimated the risk weights of malware code types using the judgments of experts. The control chart could be used effectively to forecast the information security risk for the proposed information security risk index data.

• The Journal of the Korea Contents Association
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• v.5 no.6
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• pp.41-48
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• 2005

This paper presents a face recognition method based on the combination of well-known statistical representations of Principal Component Analysis(PCA), and Linear Discriminant Analysis(LDA) with Radial Basis Function Networks. The original face image is first processed by PCA to reduce the dimension, and thereby avoid the singularity of the within-class scatter matrix in LDA calculation. The result of PCA process is applied to LDA classifier. In the second approach, the LDA process Produce a discriminational features of the face image, which is taken as the input of the Radial Basis Function Network(RBFN). The proposed approaches has been tested on the ORL face database. The experimental results have been demonstrated, and the recognition rate of more than 93.5% has been achieved.

• Convergence Security Journal
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• v.19 no.2
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• pp.73-81
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• 2019

In this paper, we propose a user-dependent mid-point navigation system using a time weighted mid-point navigation algorithm and a user preference based mid-point neighborhood recommendation system. The proposed system consists of a mid-point navigation module for calculating an mid-point by applying a time weight of each user based on a departure point between users, and a search module for providing a search for a route to the calculated mid-point. In addition, based on the mid-point search result, it is possible to increase the utilization rate of users by including a place recommending function based on user's preference. Experimental results show that the proposed system can increase the efficiency of using by the user-dependent mid-point navigation and place recommendation function.

• Journal of the Society of Disaster Information
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• v.17 no.4
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• pp.864-881
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• 2021

Purpose: This study aims is to provide a total care solution preventing disaster based on Big Data and AI technology and to service safety considered by individual situations and various risk characteristics. The purpose is to suggest a method that customized comprehensive index services to prevent and respond to safety accidents for calculating the living safety index that quantitatively represent individual safety levels in relation to daily life safety. Method: In this study, we use method of mixing AHP(Analysis Hierarchy Process) and Likert Scale that extracted from consensus formation model of the expert group. We organize evaluation items that can evaluate life safety prevention services into risk indicators, vulnerability indicators, and prevention indicators. And We made up AHP hierarchical structure according to the AHP decision methodology and proposed a method to calculate relative weights between evaluation criteria through pairwise comparison of each level item. In addition, in consideration of the expansion of life safety prevention services in the future, the Likert scale is used instead of the AHP pair comparison and the weights between individual services are calculated. Result: We obtain result that is weights for life safety prevention services and reflected them in the individual risk index calculated through the artificial intelligence prediction model of life safety prevention services, so the comprehensive index was calculated. Conclusion: In order to apply the implemented model, a test environment consisting of a life safety prevention service app and platform was built, and the efficacy of the function was evaluated based on the user scenario. Through this, the life safety index presented in this study was confirmed to support the golden time for diagnosis, response and prevention of safety risks by comprehensively indication the user's current safety level.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.409-411
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• 2004

본 연구에서는 정보시스템의 품질향상을 위하여 정보시스템 감리결과를 종합적, 체계적으로 평가하는 방안을 제시하였다. 기존 감리보고서 위주보다는, 감리 산출물과 행위를 기준에 기반을 두어 평가하였다. 감리행위도 하나의 프로젝트이므로 중요한 성공요인을 평가기준으로 하였고, 감리 산출물도 하나의 프로덕트이므로 프로덕트 평가 프레임워크를 명가기준으로 하였다 따라서 18개 행위, 산출물 명가항목을 도출하여 각각 5단계 배분의 가중치를 적용하는 방안을 제시하였다 각 평가항목에 대하여는 세분화된 평가요소를 도출하여 어떻게, 무엇을 평가한다는 것을 명확히 하였다. 이러한 평가기준에 따른 방안은 감리결과에 대한 신뢰성, 정당성을 높이며. 이는 감리에 대한 정확성, 객관성이 보편적으로 인식되어 그 효과성이 더욱 높아진다.

• Nuclear Engineering and Technology
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• v.23 no.1
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• pp.12-19
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• 1991

An engineering approach for estimating the stress intensity factors of a semi-elliptical crack is presented. An approximate 2-dimensional approach solution for semi-elliptical crack is derived in terms of simple equation, through weight function technique, by reflecting on the physical character of cracks.