• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2003.11a
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• pp.31-33
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• 2003

이 연구의 목적은 S/S 티셔츠 소재의 기본태 및 역학적 특성이 소재에 대한 주관적 감성에 미치는 영향을 밝혀 티셔츠 소재의 감성 이미지를 확립하고 소비자 감성에 적합한 S/S용 티셔츠 소재를 개발하기 위함이다. 이 연구를 위해 2003 봄, 여름에 시판된 5개의 티셔츠 소재가 사용되었고, 티셔츠 소재에 대한 감성 이미지를 도출하기 위해 티셔츠 소재와 관련된 20개의 감성형용어로 설문지를 작성하였다. 설문조사는 총 75명의 성인 남녀를 대상으로 실시하였으며 평가자는 각 문항에 대해서 7점 리커트형 척도를 사용하여 평가하였다. 5개의 시료 각각에 대한 19개의 역학적 특성치를 측정하여 태의 값을 산출하였으며, 각 특성치들과 주관적 감성 이미지와의 관계는 SPSS_Win 10.1을 사용하여 분석하였다. 본 연구결과는 다음과 같다. S/S 티셔츠 소재의 감성이미지는 ‘유연감’, ‘청결감’, ‘매력성’, ‘건조감’, ‘강성’으로 분류되었으며, 소재의 감성 이미지가 소재의 기본 태에 의해 영향을 받는 정도는 다르게 나타났다. 감성이미지에 가장 많은 영향을 미치는 기본태는 Shari였다. 또한 편성구조 및 섬유조성과 같은 티셔츠 소재의 기본적 특성이 소재에 대한 주관적 감성이미지에 미치는 영향이 큰 것으로 나타났다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.6
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• pp.3599-3608
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• 2014

This paper discusses the cognitive function of the image, focusing on the thought-evoking function of the image. Collages artworks were developed to determine how specifically the thought-evoking function of an image takes effect in actual cases. In addition, the cognitive responses of the research participants on the image were analyzed, centering on the thought-evoking function of the image, through an in-depth interview. The image performs the function to concentrate attention on a specific object and to process it more thoroughly. The image increases the immersion of the participants, evoked thought and activated conversation. This study probed the cognitive function of the image and is expected to greatly expand our understanding of human cognition. In particular, it is expected to provide useful insight into the integration of science and art.

• Journal of KIISE:Databases
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• v.36 no.5
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• pp.366-373
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• 2009

In this paper, we propose a similarity search algorithm for image databases. One of the central problems regarding content-based image retrieval (CBIR) is the semantic gap between the low-level features computed automatically from images and the human interpretation of image content. Many search algorithms used in CBIR have used the Minkowski metric (or $L_p$-norm) to measure similarity between image pairs. However those functions cannot adequately capture the aspects of the characteristics of the human visual system as well as the nonlinear relationships in contextual information. Our new search algorithm tackles this problem by employing new similarity measures and ranking strategies that reflect the nonlinearity of human perception and contextual information. Our search algorithm yields superior experimental results on a real handwritten digit image database and demonstrates its effectiveness.

• The Journal of the Korea Contents Association
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• v.9 no.2
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• pp.423-431
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• 2009

This study which sees analyzes the tourist resort image affects in tourist attitude and this leads and there is the goal the fundamental data of tourist resort marketing strategic establishment provides. According to research result demographics quality the tourist resort image there was a difference to recognition, the tourist resort image was analyzed with the fact that affects in tourist attitude. The research which sees the tourist resort image affects with the scholastic questionable matter which analyzes the thing provided fundamental information a together the tourist resort marketing people in charge for new marketing strategic establishment to tourist attitude a practical questionable matter has.

• The Journal of the Korea Contents Association
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• v.8 no.1
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• pp.75-85
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• 2008

The corporate image in the modern competitive industry is one of the most important factors that invites customer's desire of purchase. The purpose of this study is to find out how the corporate image influences to the customer value and loyalty deciding customer's desire of repurchase and is to know the important factors of corporate image. The results of this study is that corporate image has an effect on customer value and satisfaction. Also customer value influences on customer satisfaction. Customer value and satisfaction have an effect on customer loyalty as the important factors. Through the results, customer's high recognition of the corporate has an influence on customer value.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10d
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• pp.255-260
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• 2007

무선통신과 하드웨어 기술의 발전에 의해 센서 네트워크에 사용되는 센서 노드의 성능은 점차 향상되어 가고 있다. 분만 아니라 최근에는 CMOS 이미지 센서 기술의 발전에 의해 센서 네트워크에 멀티미디어 데이터를 활용한 멀티미디어 센서 네트워크 연구가 활발히 진행 되고 있다. CMOS 이미지 센서는 기존의 CCD에 비해 저가격으로 생산이 가능하고 저전력의 특징을 가진다. 이러한 CMOS 이미지 센서를 활용한 멀티미디어 센서 네트워크는 기존의 센서 네트워크를 이용한 화재강시, 방법 시스템 등의 어플리케이션에 영상 데이터를 제공함으로써 보다 신뢰성있는 정보를 제공할 수 있다. 본 논문에서는 CMOS 이미지 센서를 이용한 이미지 센서 모듈과 이를 활용한 멀티미디어 센서네트워크를 설계 및 구현한다. 구현된 멀티미디어 센서 네트워크를 통해 이미지 데이터 수집을 테스트하고 그 성능을 분석한다.

• Journal of the Korea Society of Computer and Information
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• v.12 no.6
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• pp.161-165
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• 2007

The process of selecting a small number of representative colors from an image of higher color resolution is called color image quantization. In a color quantization process, it is vet important to determine what colors should be preserve and the others not. In our study, by the idea of an image can be divided into interesting area and uninteresting area, we propose a color quantization method that preserves more colors in the interesting area of an image. We evaluated correctness of extracting interesting area and compared the quality of our method with the others.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.5
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• pp.133-138
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• 2010

In this paper, we make up a feature image including spatial properties and statistical properties on image, and format covariance matrices using region variance magnitudes. By using it to texture classification, this paper puts a proposal for tough texture classification way to illumination, noise and rotation. Also we offer a way to minimalize performance time of texture classification using integral image expressing middle image for fast calculation of region sum. To estimate performance evaluation of proposed way, this paper use a Brodatz texture image, and so conduct a noise addition and histogram specification and create rotation image. And then we conduct an experiment and get better performance over 96%.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.1
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• pp.223-229
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• 2018

This paper proposes a robust technique of image segmentation, which can be obtained if the topological persistence of each connected component is used as the feature vector for the graph-based image segmentation. The topological persistence of the components, which are obtained from the super-level set of the image, is computed from the morse function which is associated with the gray-level or color value of each pixel of the image. The procedure for the components to be born and be merged with the other components is presented in terms of zero-dimensional homology group. Extensive experiments are conducted with a variety of images to show the more correct image segmentation can be obtained by merging the components of small persistence into the adjacent components of large persistence.

• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.303-308
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• 2018

In copyright rights of the digital image, copyright holders need to protect copyrights and improve the improvement of copyright laws through accurate understanding of copyright laws, and also to improve the effectiveness of copyright rights of copyright holders and the effectiveness of users' rights. First of all, the scope of the study is based on the case of recognition of the scope of the identity of the same scope and the copyright on the copyright law of the digital image, and the application of the image of the image of the image-writing image and the use of image artifacts based on the image copyright classification system suitable for the user's application.