• Journal of KIISE:Software and Applications
• /
• v.34 no.6
• /
• pp.572-583
• /
• 2007

This paper investigates Centering-based metrics to evaluate ordering of utterances for text structuring. We point out a problem of MIN.NOCB metric which has been regarded as the simplest and best measure to evaluate coherence of ordering within Centering framework, and propose a new Centering-based metric, MAX.CPS as an alternative or supplementary one. This paper introduces a framework which pre-estimates the effectiveness of a metric on a given input ordering, and selects an applicable metric according to the pre-estimation result. Using this framework, we propose a new policy which can generate more optimal ordering within Centering framework. Moreover, we evaluate several kinds of Cf-ranking methods in terms of Centering-based metrics, and find that simply ranking entities by their linear order is generally the most suitable because of characteristics in Korean.

• Journal of the Korean Society for information Management
• /
• v.17 no.4
• /
• pp.67-81
• /
• 2000

This study discussed why Precision(& Recall) is not a good effectiveness measurement of IR system providing ranked results, reviewed other effectiveness measurements appropriate for ranked results, and proposed new measurements based on the average rank of relevant documents retrieved. The 18 case-sets of ranked results were used for evaluating 10 effectiveness measurements including proposed measurements. Simple measurements were significantly similar with the 11-Point Precision requiring complicated calculation.

• Journal of KIISE:Computer Systems and Theory
• /
• v.31 no.5_6
• /
• pp.288-296
• /
• 2004

This paper proposes a new mesh simplification algorithm using differential error metric. Many simplification algorithms make use of a distance error metric, but it is hard to measure an accurate geometric error for the high-curvature region even though it has a small distance error measured in distance error metric. This paper proposes a new differential error metric that results in unifying a distance metric and its first and second order differentials, which become tangent vector and curvature metric. Since discrete surfaces may be considered as piecewise linear approximation of unknown smooth surfaces, theses differentials can be estimated and we can construct new concept of differential error metric for discrete surfaces with them. For our simplification algorithm based on iterative edge collapses, this differential error metric can assign the new vertex position maintaining the geometry of an original appearance. In this paper, we clearly show that our simplified results have better quality and smaller geometry error than others.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2002.12a
• /
• pp.451-454
• /
• 2002

본 논문에서는 개인의 적성을 판단하는 문제를 처리하기 위한 가중치 퍼지추론 알고리즘을 제시하고, 지식표현을 위해 퍼지 집합 이론과 퍼지 생성 규칙들을 이용하였다. 거리척도에 서는 퍼지값이 높은 구간의 척도를 낮은 구간의 척도에 비례하여 유사성을 구하였다. 또한, 가중치를 정량화한 값과 척도값을 연산하여 유사성을 나타냈고, 추출된 항목과 규칙과의 가능성을 구하였다. 여기서, 결과는 수검자들이 응답한 값들에 따라 임의의 직업군이 적당한 지를 나타내기 위해 확신도로 해석하였다.

• Journal of the Korea Computer Industry Society
• /
• v.2 no.3
• /
• pp.377-388
• /
• 2001

Software metrics provide effective methods for characterizing software. Metrics have traditionally been composed through the definition of an equation, but this approach restricted within a full understanding of every interrelationships among the parameters. This paper use fuzzy logic system that is capable of uniformly approximating any nonlinear function and applying cognitive psychology theory. First of all, we extract multiple regression equation from the factors of 12 software complexity metrics collected from Java programs. We apply cognitive psychology theory in program volume factor, and then measure program volume complexity to execute fuzzy learning. This approach is sound, thus serving as the groundwork for further exploration into the analysis and design of software metrics.

• The Korean Journal of Applied Statistics
• /
• v.19 no.3
• /
• pp.481-504
• /
• 2006

VaR, a tail-related risk measure is now widely used as a tool for a measurement and a management of financial risks. For more accurate measurement of VaR, recently we are particularly concerned about the approach based on extreme value theory rather than the traditional method based on the assumption of normal distribution. However, many studies about the approaches using extreme value theory was done only for the univariate case. In this paper, we discuss portfolio risk measurements with modelling multivariate extreme value distributions by combining copulas and extreme value theory. We also discuss the estimation of ES together with VaR as portfolio risk measures. Finally, we investigate the relative superiority of EVT-copula approach than variance-covariance method through the back-testing of an empirical data.

• Journal of KIISE:Computer Systems and Theory
• /
• v.27 no.3
• /
• pp.245-254
• /
• 2000

This paper proposes a new discrete curvature error metric to generate LOD meshes. For mesh simplification, discrete curvatures are defined with geometric attributes, such as angles and areas of triangular polygonal model, and dihedral angles without any smooth approximation. They can represent characteristics of polygonal surface well. The new error metric based on them, discrete curvature error metric, increases the accuracy of simplified model by preserving the geometric information of original model and can be used as a global error metric. Also we suggest that LOD should be generated not by a simplification ratio but by an error metric. Because LOD means the degree of closeness between original and each level's simplified model. Therefore discrete curvature error metric needs relatively more computations than known other error metrics, but it can efficiently generate and control LOD meshes which preserve overall appearance of original shape and are recognizable explicitly with each level.

• Korean Journal of Culture and Social Issue
• /
• v.26 no.4
• /
• pp.501-524
• /
• 2020

This study was conducted to validate the Korean Love addiction Questionnaire-Short Form (K-LAQ-SF) applicable to Korean society. As a result of exploratory factor analysis for Love addiction 40 Questions(Peabody, 2005), the final 5 factors and 15 questions appeared, and the model fit of the final scale was confirmed through confirmatory factor analysis. The results of the equivalence test showed that the theoretical structure of the abbreviated scale works in the same way for each gender. The results of correlation analysis between K-LAQ-SF and original scale showed that the abbreviated scale represented the original scale relatively faithfully. Finally, the results of correlation analysis between this scale and relationship addiction, love type and depression showed that convergence, discrimination and criterion validity were secured. K-LAQ-SF is significant in that it can be usefully used to easily measure the characteristics of Korean adults' love addiction in a short time based on stable reliability and validity.

• The Journal of the Korea Contents Association
• /
• v.22 no.7
• /
• pp.583-598
• /
• 2022

This study is a follow-up study of the Social Media Emotional Contagion(SECS) and it aims to validate the Social Media Emotional Contagion Scale(SECS) through CFA and criterion-related validity. The data was collected from 326 people in 20s. The criterion-related validity of SECS were confirmed with the Korean version of the Emotional Contagion Scale(K-ECS), the Basic Empathy Scale in Adult(BES-A), and the Rosenberg Self-esteem Scale(SES). As a result, the K-ECS and sub-factor of Emotional Contagion of BES-A, which are the same as the construction of SECS, converged. Other scales were differentiated from SECS. However, sub-factor of SES of positive self-esteem, which are the same as the construction of SECS, converged. Also, sub-factor of SES of negative self-esteem, which are the same as the construction of SECS of negative Emotional Contagion, converged. Finally, the significance and limitations of this study and future studies were discussed.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 1997.11a
• /
• pp.163-167
• /
• 1997

인간이 움직이는 물체에 탑승하고 있거나 움직이는 물체를 잡고 있을때 어떤 종류의 감성을 느끼게 된다. 물체의 속도, 가속도, 또는 강성, 감쇠 등으로 인하여 인간은 쾌, 불쾌감을 갖게 되며, 본 논문에서는 이러한 감성을 운동감이라 정의한다. 이러한 운동감을 공학적으로 유용한 데이터로 만들기 위해 운동감 어휘를 도입하여 정량화를 시도하였으며, 복수의 운동감 어휘를 연산할 수 있는 방법과 가중치를 구할 수 있는 방법을 제시하고자 한다. 본 연구에서는 귀의 전정 기관에서 느끼는 몸 전체의 평형 감각 및 운동 감각은 고려의 대상으로 제외하며, 팔에 국한하여 피부 감각과 팔 근육의 위치 인지 등으로 인한 운동감을 해석 대상으로 한다. 해석의 편의성을 위하여 팔을 제외한 몸의 움직임은 없는 상태로 유지하며, 팔의 2차원 운동만을 고려하기고 한다. 퍼지는 사람의 언어와 같이 모호한 사건을 해석하기 위한 이론이다. 모호한 정도를 표현하는 방법으로 퍼지 정도척도(measutr of fuzziness)와 퍼지척도(fuzzy measure)가 많은 분야에서 이용되고 있다. 하지만 운동감에 대한 연구는 미비한 실정이므로 불확실성을 평가하는 퍼지 이론을 이용하여 운동감을 해석하려 한다.