• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.1
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• pp.58-64
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• 2001

정밀을 요하는 자동차 부품의 측정 시스템은 온도에 따라 보상이 필수적이다. 부품의 측정값의 신뢰도를 유지하기 위해서 단순히 제품의 합격 영역을 상온에서 51.786~51.819mm로 했을 때, 온도가 상온에서 따러져 있는 경우 그 부품의 측정영역을 신뢰하기가 어려워진다. 본 논문에서는 이 문제를 해결하기 위해서 2개의 카메라를 사용하여 한쪽은 표준 제품을 두고, 다른 쪽은 실제 제품을 둠으로서 온도에 따라 달라지는 표준 제품의 측정값의 Offset를 실제 제품에 반영함으로써 측정값을 보상하려고 하였다. 자동차의 부품은 여러 가지가 있으나, 이 중에서 현재 공장에서 측정에 어려움을 겪고 있는 에어콘 스윗치인 마그네트 코일 하우징을 대상으로 하였다. 특히 측정 대상이 크고, 카메라의 화소수가 40만 이하일 경우, 측정의 중요한 포인트는 화소수와 배경과 대상의 구별이다. 이를 정확히 알아내는데, FCM (Fuzzy C-means) 알고리듬이 좋은 결과를 주지만 속성 공간에서 유사성만을 고려하고, 공간영역에서 유사성은 고려되지 않기 때문에 FCM은 \"equal evidence\"와 \"ignorance\"를 구분하지 못한다. 이를 개선하기 위해서 FCM를 수정하여 먼저 FCM로 처리하고 이를 바탕으로 PCM (Possibilistic C-means)를 사용하였다. 결과를 모니터에 보여주고, RSC-232 포트를 통하여 신호를 마이크로 프로세서에 전달하여 제품의 양호(good), 불량(bad)을 판별하는 신호를 발생하게 하였다.을 판별하는 신호를 발생하게 하였다.

• Journal of Korea Game Society
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• v.7 no.4
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• pp.33-42
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• 2007

Advanced technologies and techniques make it possible to express digital animation with higher quality. Characters in the virtual animation space are playing an important role in emphasizing the human audiences or interacting directly with them. The movement of characters gives them vital power, and shows their intentions and emotions. To analyze the emotion of character movements, the study develops basic movement sources based on Laban's property elements of movement such as time, space, and flow, and tries to find the relationship between their movements and the emotions they arouse by positioning them on Plutchik's emotional circle. We find that each element of 9 movements represent its own emotion consistently, and has influence on the intensity of emotions clearly.

• Journal of Information Technology Applications and Management
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• v.25 no.2
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• pp.1-21
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• 2018

This study aims to investigate the usage patterns of users in Social Network Services (SNS) where is an upsurge. Specifically, the paper considers the reason why young people more and more prefer online (or mobile) SNS activities rather than offline face-to-face social relationship. Furthermore, the drivers which affect SNS usages are considered from users' personal characteristics and social influences. User's personal characteristics include their personalities (extraversion and introversion), narcissism, and life satisfaction. Social influences involve subjective norm, visibility, and image. Affected by personal and social factors in SNS, users intend to show positive self-presentation, which refers to a behavior to selectively expose his/her goodness to others. As one of the most influential drivers affecting SNS usage, the positive self-representation has an effect on the level of SNS usage. Thus, this paper suggests the hypothesized research model focusing on positive self-representation in the relationship among personal characteristics, social influence, and user's behavior in SNS. Empirical data analysis with 100 questionnaires suggests that all hypotheses were adopted except for the effect of visibility among social influence factors on positive self-representation.

• Journal of Energy Engineering
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• v.26 no.1
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• pp.45-53
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• 2017

The best practices of energy efficiency were selected by reviewing cases collected from the results of IEA research and prior studies, and then by evaluating the correspondence of each case for four attributes including economic performance, synergy, political adjustment, and marketability. The selected best practices included 36 cases in 6 fields such as governance, finance, utility, home, transportation, and industry/small and medium-sized businesses. The reduction of energy costs has brought countries implementing best practices of energy efficiency a variety of benefits, including higher rate of return, the reduction of incidental expenses, the increase of productivity, and the improvement of accessibility to energy. To have similar effects, other countries need to adjust these best practices before applying to their situations.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.6
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• pp.749-759
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• 1998

The purpose of this study is to identify the consumer's value systems and to clarify how it influence on clothing behaviors. Values defined as fundamental goals of the consumer's behavior The value systems are composed of personal values, clothing benefits, clothing attributes. The Means-End theory provided the framework to assess consumer's value systems. This study was carried out in theoretical and empirical ways. The Questionaire was administered to 645 women in thief twenties living in Seoul during the April, 1997. The results of empirical study were as follows: First, the dimensions of personal values were composed of accomplishment, pleasure and humanity-oriented value Clothing benefits were classified into psychological and functional benefits. Psychological benefits were composed of expressive pleasure, individuality-persuit, brand value-persuit, harmony, social recognition. Functional benefits were composed of cotilfortability, practicality, quality-oriented, economic benefits. Clothing attributes were classified into the design attributes and the physical attributes. Second, consumer groups were classified into three groups by three dimensions of personal values. Third, the significant differences among the classified value groups was founded in the clothing benefits, the clothing attributes and the clothing involvement. Fourth, the demographic characteristics like income, education have influenced on the consumer value systems.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.921-923
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• 2006

With the success of wireless technologies in consumer electronics, standard wireless technologies are envisioned for the deployment in industrial environments as well. Industrial applications involving mobile subsystems or just the desire to save cabling make wireless technologies attractive. Nevertheless, these applications often have stringent requirements on reliability and timing. In wired environments, timing and reliability are well catered for by fieldbus systems. When wireless links are included, reliability and timing requirements are significantly more difficult to meet, due to the adverse properties of the radio channels. In this paper, we thus discuss some key issues coming up in wireless fieldbus and wireless industrial communication systems.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.11
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• pp.1116-1120
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• 2010

In this paper we present two refined neighbor selection algorithms for recommender systems and also show how the attributes of the items can be used for higher prediction quality. The refined neighbor selection algorithms adopt the transitivity-based neighbor selection method using virtual neighbors and alternate neighbors, respectively. The experimental results show that the recommender systems with the proposed algorithms outperform other systems and they can overcome the large scale dataset problem as well as the first rater problem without deteriorating prediction quality.

• The Korean Journal of Applied Statistics
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• v.26 no.2
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• pp.223-236
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• 2013

Various statistical classification methods to predict election to the Major League Baseball hall of fame of are implemented and their accuracies are compared. Seventeen independent variables are selected from the data of candidates eligible for the hall of fame and well-known classification methods such as discriminant analysis and logistic regression as well as the recently proposed Mahalanobis-Taguchi system(MTS). The MTS showed a better performance than the others in classification accuracy because it is especially efficient in cases where multivariate data does not constitute directionally geographical groups according to attributes.

• Journal of Internet Computing and Services
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• v.7 no.2
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• pp.1-8
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• 2006

Study of effective synthesis has been amplified in working-level image process corresponding to one of postproduction synthesis ares. However, it is very role to recognize the overall procedure of image composition and unprepared state on a research on variety and complexity for the specific composition method, it is necessary to materialize the overall pattern that can understand stream of image and standardization. In order to embody, it may be desirable that improve working efficiency of database by form called resources. In this paper, by providing the several values such as matte, key, motion, scale, position, or opacity characteristics, we directed th solving problems through the detailed examples while the user has the difficulty on image synthesis.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.396-396
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• 2011

본 연구에서는 레이더 강수량 자료를 대상으로 예측모형을 구축하기에 앞서서 강수장이 가지는 특징을 활용한 Tracking 기법을 개발하고자 한다. Tracking 기법이라 함은 시간에 따라 움직이는 강수장을 추적하는 개념이다. 최근에 태풍, Hurricane 등의 경로를 추정하기 위한 방법으로 국외를 중심으로 연구가 시작되고 있다. 본 연구에서 제안하는 방법론은 모멘트 개념을 중심으로 강수장으로부터 1차모멘트와 2차모멘트를 추정함으로써 강수장의 중심, 강수장의 이동 방향, 강수장의 폭 등 다양한 정보를 유도할 수 있다. 일단 이러한 정보들이 유도되면 이를 통해 강수장의 특성을 범주화 시킬 수 있으며 이를 예측 모델과 연결시킬 수 있을 것으로 판단된다. 격자형태의 레이더강수량으로부터 1, 2차모멘트를 추정하기 위한 식은 다음과 같다. 모멘트 추정을 통해 총 5 개의 속성을 추출할 수 있다. 즉, 위경도상의 도심과 방향의 공분산, y방향의 공분산, xy의 공분산 등을 이용하여 다음 그림과 같이 강수의 중심과 강수장의 형태를 수치적으로 추정할 수 있다. 강수장의 형태는 공분산으로부터 추정하여 타원체로 나타내었다. 이러한 과정을 통해 강수장의 중심과 모양의 Tracking이 가능하며 이를 활용한 예측모형의 개발이 가능할 것으로 판단된다.