• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.132-139
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• 2005

대한민국 정통부는 IT 산업의 경쟁력 강화를 통한 국가경제발전을 유도하기 위해 8대 서비스, 3대 인프라, 및 9대 신성장동력을 연계하여 시너지효과를 극대화하는 IT 839전략을 마련하여 강력하게 추진 중에 있다. 이러한 상황 하에 향후 IT시장의 선택과 집중을 통한 정책적 육성발전방향을 제시하기 위해서는 9대 신성장동력간 가치사슬에 대한 이해가 최우선 돼야 한다. 본 연구에서는 다차원척도법을 이용하여 IT 신성장 동력 간의 연관성 분석, 시간의 변화에 따른 이동방향 분석, 및 성장동력의 속성을 반영한 PROFIT분석 등을 실시하였다. 본 연구의 결과는 전략적 중요도가 큰 산업 및 분야를 선별 할 수 있을 뿐만 아니라, 효과적인 정책적 투자를 유도하기 위한 전략을 모색할 수 있을 것으로 기대가 된다.

• Korean Journal of Social Welfare
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• v.58 no.3
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• pp.27-49
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• 2006

The purpose of the present study was to investigate dimensionality and psychometric properties of identified theoretical constructs of the 'Life Satisfaction Scale for Elderly(LSSE)', which was developed by Choi, Sung-Jae in 1986. Data was obtained from 'The survey of health and welfare status of the elderly aged 65 or older in Chung-Choo city'. The subjects were 275 elderly. Results showed that LSSE had a multi-dimensional structure with three theoretical constructs. Each theoretical construct was named as 'positive affect and subjective satisfaction', 'negative self image and affect', and 'self-value'. Three theoretical constructs had high levels of reliability and validity based on internal construct. 'Positive affect and subjective satisfaction' and 'negative self image and affect' showed high levels of convergent and discriminant validity. 'Self-value' had a high level of convergent validity but acceptable level of discriminant validity. Results of this study revealed that there was a difference in theoretical dimensionality of LSSE between this study and Choi's study, which explained the dimensionality of LSSE as a single dimension. However, the result of this study regarding theoretical dimensionality supported findings from existing studies which insisted that life satisfaction had a multi-dimensional structure.

• Science of Emotion and Sensibility
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• v.12 no.4
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• pp.501-510
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• 2009

This study is to establish GUI (graphic user interface) in mobile touch phone for grooming user by using two dimensional emotion model determined by multi-dimensional scale method. The processes conducted in the research were as the followings: First of all, visceral, behavioral, and reflective factors of emotion (Norman, 2002) was defined from investigating the life styles of the Grooming users. Secondly, factor analysis was performed to extract the representative emotional words. In the third step, they were mapped into the two-dimensional emotion model through multi-dimensional scaling. Finally, the mapped emotional words were tried to be related to GUI factors of touch phones and normalizing their relation degree between 0 and 1. This study determined GUI factors significantly related to representative emotions described as special, self-centered, sophisticated, free, passionate, neat for application to mobile touch phone. This study determined the major emotion factors that should be considered the most important while designing the GUI factors.

• Science of Emotion and Sensibility
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• v.25 no.3
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• pp.47-62
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• 2022

Previous emotion studies revealed the two core affective dimensions of valence and arousal using affect-eliciting stimuli, such as pictures, music, and videos. Autonomous sensory meridian response (ASMR), a type of stimuli that has emerged recently, produces a sense of psychological stability and calmness. We explored whether ASMR could be represented on the core affect dimensions. In this study, we used three affective types ASMR (negative, neutral, and positive) as stimuli. Auditory ASMR videos were used in Study 1, while auditory and audiovisual ASMR videos were used in Study 2. Participants were asked to rate how they felt about the ten adjectives using five-point Likert scales. Multidimensional scaling (MDS) and classification analyses were performed. The results of the MDS showed that distinctions between auditory and audiovisual ASMR videos were represented well in the valence dimension. Additionally, the results of the classification showed that affective conditions within and across individuals for within- and cross-modalities. Thus, we confirmed that the affective representations for individuals could be predicted and that the affective representations were consistent between individuals. These results suggest that ASMR videos, including other affect-eliciting videos, were also located in the core affect dimension space, supporting the core affect theory (Russell, 1980).

• Journal of Information Management
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• v.35 no.3
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• pp.125-138
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• 2004

The purpose of this study is to propose a hierarchical user interfaces for browsing the knowledge structure of a single document. To generate the hierarchical knowledge structure, hierarchical term clustering and cluster representative term selection were performed with a single thesis in information science field, and the result was applied to design the interfaces which browse a single document hierarchically using multidimensional scaling. The interfaces can be applied to develop the user-friendly information retrieval system.

• Science of Emotion and Sensibility
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• v.6 no.4
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• pp.33-40
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• 2003

This research was conducted to propose a sensibility model for web site design. At first, we collected 100 sensibility words related to web site design through analysis of journal and questionnaires and analysis of dictionary. 16 web sites were rated according to the degree of sensibility corresponding to each words, on the basis of the Semantic Differential(SD) method. The results of assessment were analyzed by means of the factor analysis and Multidimensional Scaling(MDS) method. From this relational analysis of sensibility words, the 18 representative words were abstracted as a result of the research included unique, unusual, rich, soft, cold, warm, vivid, simple, neat, dynamic, urban, light, somber, bright, dark, fresh, masculine, and hard. Also three sensibility dimensions bright-dark, soft-hard, simple-rich were found.

• The Korean Journal of Applied Statistics
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• v.36 no.2
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• pp.167-173
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• 2023

This paper investigates several methods of visualizing high-dimensional data in a low-dimensional space. At first, principal component analysis and multidimensional scaling are briefly introduced as linear approaches, and then kernel principal component analysis, self-organizing map, locally linear embedding, Isomap, Laplacian Eigenmaps, and local multidimensional scaling are introduced as nonlinear approaches. In particular, t-SNE, which is widely used but relatively unfamiliar in the field of statistics, is described in more detail. We also present a simple example for several methods, including t-SNE. Finally, we provide a review of several recent studies pointing out the limitations of t-SNE and discuss the future research problems presented.

• Korean Journal of Culture and Social Issue
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• v.28 no.2
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• pp.133-161
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• 2022

The purpose of this study was to translate and validate the Lesbian, Gay, and Bisexual Identity Scale(LGBIS), which is a scale measuring the multidimensional identities of sexual minorities. For this, we conducted an exploratory factor analysis using a sample of 201 LGBs(homosexuals and bisexuals). Identical to the original scale, eight factors were extracted from the translated scale(i.e., concealment motivation, identity uncertainty, internalized homonegativity, difficult process, acceptance concerns, identity superiority, identity centrality, and identity affirmation), but one item was removed. In addition, the reliability coefficients of the eight factors except for concealment Motivation were satisfactory. The Confirmatory factor analysis revealed that the 8-factor model had a good fit to the data. Finally, to verify the criterion validity, correlation among each eight factor and the scales measuring the identity related scale and the psychological-functioning scale were analyzed. In conclusion, the Korean version of the LGBIS consists of 8 factors and 26 items in total. Also it was found to be a valid measure for LGBS in Korea as well.

• Journal of the Korean Society for information Management
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• v.26 no.2
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• pp.195-210
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• 2009

This study explores knowledge structures of science and technology disciplines using a cocitation analysis of journal subject categories with the publication data of a science & technology oriented university in Korea. References cited in the articles published by the faculty of the university were analyzed to produce MDS maps and network centralities. For the whole university research domain, six clusters were created including clusters of Biology related subjects, Medicine related subjects, Chemistry plus Engineering subjects, and multidisciplinary sciences plus other subjects of multidisciplinary nature. It was found that subjects of multidisciplinary nature and Biology related subjects function as central nodes in knowledge communication network in science and technology. Same analysis procedure was applied to two natural science disciplines and another two engineering disciplines to present knowledge structures of the departmental research domains.

• Journal of the Korean Society for information Management
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• v.24 no.4
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• pp.73-96
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• 2007

In this study, the characteristics of scholarly communication through the Web and scientific journals are explored, and scholarly communication patterns in two scientific disciplines are compared to reveal the difference. Economics and Computer Science-Information Systems are selected as two disciplines to be analyzed. In the data collection process, 10 keywords are extracted from a database for each subject field, and scholarly Web pages and journal articles related to these keywords are collected and analyzed. Our investigation includes the characteristics of scholarly Web pages, Multi-Dimensional Scaling (MDS) analysis of co-linked Web pages as well as co-cited journal articles, and changes in the scholarly communication activities occurring on the Web and in scientific journals respectively over time. We found certain differences as well as common features in scholarly communication patterns between the Web and scientific journals for both fields of Economics and Computer Science. We also found that scholarly communication occurring on the Web displays unique features for each subtopic within the same field of study.