• 한국의류산업학회지
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• 제14권3호
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• pp.465-471
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• 2012

This thesis collected words, feelings, and psychological images expressed in female faces in their 20s and 60s. The comparative analysis of the characteristics will be based on the effective image of direction and improvement. Through the analyzed station of word of images collected, female faces in 20s of image are positive images such as pretty, cute, and elegant; however, there were also negative images such as gloomy, sharp, and stubborn. Female faces in 60s image are negative image such as scary, gloomy, sharp, and stubborn. To the analyzed station of word's tendency (usually expressed appearance), external-oriented tendency significantly developed in their 20s and 60s. It shows that the importance of appearance is emphasized in women face image in 20s and 60s.

• 디지털융복합연구
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• 제15권2호
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• pp.361-368
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• 2017

본 연구는, 발전하는 3D 애니메이션 영상산업의 캐릭터 개발과 관련하여, 심리변화를 중심으로 감정의 표현방법을 위한 캐릭터의 외형별 특징 분석에 대한 연구로, 2015년 픽사의 인사이드 아웃을 중심으로 심리의 시각적 형태를 위한 5명 캐릭터의 감성별 외형 특징을 대상으로 분석논문을 진행하였다. 이를 위해 선행연구로 인간의 심리적 범주의 변화를 심리학자 Paul Ekman과 Robert Plutchik의 기본감정을 연구배경으로 선택, 이를 바탕으로 애니메이션 인사이드아웃 속 사춘기 소녀의 심리요소를 대표하는 다섯 캐릭터의 외형적 특징 요소를 감성별 표정변화와 감성별 색상변화를 심리적 관점에서 접근, 시각적인 표현의 방식에 대하여 분석하였다. 본 연구는 3D 애니메이션 제작과 관련하여 감성 표현을 통한 캐릭터 설정에 필수적인 외형 특징 연구가 필요하다고 판단, 향후 애니메이션 제작을 위한 차별화된 캐릭터 설정 및 개발에 필요한 가이드라인을 제시하는 것에 본 연구의 목적과 의의를 두었다.

• 한국산학기술학회논문지
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• 제14권8호
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• pp.3971-3975
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• 2013

본 논문은 핸드 제스쳐에 의해 증강현실 내의 가상 객체 제어기술로, HOG기반의 핸드 제스쳐 인식을 제안하고 있다. 인식을 위한 특징점들은 HOG불럭들에 의하여 결정되며, 크기가 다른 여러 불럭들을 시험하여 가장 적절한 불럭구성을 결정하며, AdaBoostSVM기법을 사용하여 분류 목적에 가장 적절한 불럭들을 추출한다. 실험 결과 핸드 제스쳐 인식률은 94% 이었다.

• Journal of Multimedia Information System
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• 제1권1호
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• pp.45-53
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• 2014

This article describes a two wheelers detection system riding on people based on modified histogram of oriented gradients (HOG) for vision based intelligent vehicles. These features used correlation coefficient parameter are able to classify variable and complicated shapes of a two wheelers according to different viewpoints as well as human appearance. Also our system maintains the simplicity of evaluation of traditional formulation while being more discriminative. In this paper, we propose an evolutionary method trained part-based models to classify multiple view-based detection: frontal, rear and side view (within $60^{\circ}C$). Our experimental results show that a two wheelers riding on people detection system based on proposed approach leads to higher detection accuracy rate than traditional features.

• 한국정보시스템학회지:정보시스템연구
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• 제3권
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• pp.17-36
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• 1994

Since its first appearance in the late 1970s and early 1980s, executive information system (EIS) has been reported to improve executives' productivity in line with the rapid growth of the EIS market. In this paper, we aim to provide both researchers and practitioners with a comprehensive bibliography on EIS. this bibliography consists of papers which were extracted from (1) INSPECT commercial database service, (2) previous surveys in books and journals, and (3) major conference proceedings. A total of 227 papers, published between 1983 and 1992, were identified and categorized by topic, and journal or conference. The major findings indicate that EIS has been widely used in both profit oriented organizations and non-profit oriented organizations and that the nature of system has been the most active topic among the researchers and practitioners. However, the survey suggests that further research should be focused on development and implementation methodologies of EIS, especially requirement analysis and EIS planning.

• 한국정보전자통신기술학회논문지
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• 제1권3호
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• pp.83-89
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• 2008

This paper introduces a visual object classification algorithm based on statistical information. Objects are characterized through the Histogram of Oriented Gradients (HOG) method and classification is performed using Multiclass AdaBoost. Salient features of an object's appearance are detected by HOG blocks Blocks of different sizes are tested to define the most suitable configuration. To select the most informative blocks for classification a multiclass AdaBoostSVM algorithm is applied. The proposed method has a high speed processing and classification rate. Results of the evaluation based on example of hand gesture recognition are presented.

• 한국지역사회생활과학회지
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• 제18권2호
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• pp.265-276
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• 2007

The purpose of this study was 1) to find out the consumer patronage mix of department and fashion outlet stores, 2) to compare the clothing and price attitudes among store patronage groups and 3) to compare the importance of the stores' attributes among the store patronage groups. The subjects were 381 female consumers in the Seoul and Gyeonggi areas. Questionnaires were used to collect the data. The data was analyzed by frequency, factor analysis, ANOVA, Duncan's Multiple Range Test and Cronbach's Alpha. The results were as follows. First, clothing purchasing attitudes of the total respondents were classified by three factors: fashion/confident oriented, appearance oriented, and brand-name oriented. Also, clothing price attitudes were composed of three factors: price/quality-prestige inference, discount/low price pursuit and benefit/value pursuit. In addition, the importance of the store's attributes was composed of five factors: convenience/service, concern of fashion outlet store, brand-name/fashionability, awareness of fashion outlet store, and practical advantage of the store. Second, the department store patronage group was significantly different from the fashion outlet store patronage group in clothing attitude, price attitude, and the importance of the store attribute. Third, the responses of the department store patronage group were significantly different from those of the fashion outlet store patronage group in product reliability and awareness of the fashion outlet store.

• 한국의류학회지
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• 제43권5호
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• pp.742-752
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• 2019

This study analyzes the type of subjectivity of married women who have experienced pregnancy and childbirth. It also provides basic data on clothing development that can provide satisfaction to the physical comfort and appearance of pregnant women by understanding the conditions necessary for maternity wear design. This study used Q methodology. The type of recognition for maternity wear was classified into three types and explained 90.88% of total variance. Type 1 was comfort and activities style-oriented. They preferred the A-line shape with a size adjustable style and elastic material. In addition, they preferred designs using details such as wrinkles. Type 2 was a fitted body and modern style-oriented. It was analyzed that they prefer a pants style that is close to the body in a simple and modern style of monotone. Type 3 held a lot of space and was cute style-oriented. They preferred cute dress style along with a maternity suit that could cover the hip and abdomen. Maternity wear design is necessary to develop various designs considering preferences because it is classified into types that emphasize comfort, types that emphasize modernity that is close to the body, and styles that emhasize cute styles.

• 한국멀티미디어학회논문지
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• 제22권2호
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• pp.322-333
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• 2019

After the launch of smart phones, various miniaturized smart devices such as wearable and IOT devices have deeply embedded in human life, and have created a technology-oriented society. In this technology-oriented society, technology development itself is important, however it seems more important to utilize existing technology appropriately and deliver effectively to human life. As the computer became personalized after the appearance of PC, human-centered computing such as HCI and UCD had begun to appear. However, most of the researches focused on technology that made human being convenient to interact with computer such as computer systems design and UX development. In the technology-oriented society, it seems more urgent to apply existing technology to human life. In this paper, we propose a methodology, 'Digital Leveraging' which guides how to effectively apply technology to human life. Digital Leveraging is the way of convergence between technology and humanities.

• 아동학회지
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• 제20권4호
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• pp.195-211
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• 1999

This study investigated developmental trends and sex differences in the relation between children's self-esteem and relevant variables by proposing and testing the causal model. The 763 children who participated in the study were 3rd, 5th, and 7th grade students. Major findings were that physical appearance was the most powerful determinant of self-esteem. Students with high self-esteem were more learning oriented, used more motivational behaviors and had higher academic achievement. The findings from this analysis of the causal model revealed remarkable developmental differentiation and stability.