• 한국의상디자인학회지
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• 제4권3호
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• pp.27-32
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• 2002

This study attempted to make a comparative analysis of dress and architecture to investigate the spatial effect of transparency expressed in fashion. As a result, the following findings were obtained: First, the openness of the space. It means that the human body or the dress inside it can be seen through or the inside space is opened. The volume, form and color of the undergarment seen through this transparent outer garment brings about any change to design. Also, it can be found that the role of the space is further extended as the inside space is seen through outwardly due to the outer garment. Second, interpenetration of the internal and external space. That the human body and the undergarment are seen through due to transparent dress brings about the linkage between spaces and opens the inside outwardly. Third, the briskness of the space. The trait of transparency that exposes the object behind outwardly as it is causes its form and space to be activated and conveys its spatial briskness.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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• pp.299-302
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• 2001

The statistical analysis of the feature extraction and the neural networks are proposed to recognize a human face. In the preprocessing step, the normalized skin color map with Gaussian functions is employed to extract the region of face candidate. The feature information in the region of the face candidate is used to detect the face region. In the recognition step, as a tested, the 120 images of 10 persons are trained by the backpropagation algorithm. The images of each person are obtained from the various direction, pose, and facial expression. Input variables of the neural networks are the geometrical feature information and the feature information that comes from the eigenface spaces. The simulation results of$.$10 persons show that the proposed method yields high recognition rates.

• Journal of applied mathematics & informatics
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• 제9권2호
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• pp.793-806
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• 2002

Feature-based similarity retrieval become an important research issue in image database systems. The features of image data are useful to discrimination of images. In this paper, we propose the highspeed k-Nearest Neighbor search algorithm based on Self-Organizing Maps. Self-Organizing Maps (SOM) provides a mapping from high dimensional feature vectors onto a two-dimensional space. The mapping preserves the topology of the feature vectors. The map is called topological feature map. A topological feature map preserves the mutual relations (similarity) in feature spaces of input data. and clusters mutually similar feature vectors in a neighboring nodes. Each node of the topological feature map holds a node vector and similar images that is closest to each node vector. In topological feature map, there are empty nodes in which no image is classified. We experiment on the performance of our algorithm using color feature vectors extracted from images. Promising results have been obtained in experiments.

• 한국주거학회논문집
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• 제17권1호
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• pp.19-27
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• 2006

This research deals with the residential environment for the elderly and describes characteristics to give a positive effect on elderly's health and quality of life in Sweden. Five elderly care home recommended by a municipality staff in Stockholm are surveyed on $01\~03$ October 2003. The results of this study are as follows: 1) homelike atmosphere is regarded as a basic design concept and is applied to size, materials, scale, color, and furniture of elderly housing in Sweden, 2) regarding of the exterior features, it is similar to the ordinary house rather than institution building, 3) arrangement of spaces is planned for several small groups consisting of 6-8 residents, 4) open-space planning on public kitchen and dinning room allows residents to feel comfortable when they can hear a sound and smell a meal, 5) private flat is to provide amenities for sleeping, rest, storage, social interaction, meals, hygiene and other every activities

• 한국지능시스템학회논문지
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• 제11권9호
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• pp.822-826
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• 2001

The statistical analysis of the feature extraction and the neural networks are proposed to recognize a human face. In the preprocessing step, the normalized skin color map with Gaussian functions is employed to extract the region of face candidate. The feature information in the region of the face candidate is used to detect the face region. In the recognition step, as a tested, the 120 images of 10 persons are trained by the backpropagation algorithm. The images of each person are obtained from the various direction, pose, and facial expression. Input variables of the neural networks are the geometrical feature information and the feature information that comes from the eigenface spaces. The simulation results of 10 persons show that the proposed method yields high recognition rates.

• 한국실내디자인학회:학술대회논문집
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• 한국실내디자인학회 2005년도 춘계학술발표대회 논문집
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• pp.225-226
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• 2005

In early 20th century, This study focus on exploration of a education for office design This class is focused on planning an office space. Selection of the right places, Setting a concept room plans, and such are studied along with systematically analyzing spaces. Applying concepts, interior plans, interior elements, color and selection of materials are introduced and developed into systematical plans. And the students produce efficiently a portfolio by complementing and/or developing the visual materials and readjusting all the concept of the accomplished assignments during this course that were presented visually by applying techniques of presentation leaned majoring in interior design, in an aesthetical and creative ways.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.55.2-55
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• 2001

The statistical analysis of the feature extraction and the neural networks are proposed to recognize a human face. In the preprocessing step, the normalized skin color map with Gaussian functions is employed to extract the region efface candidate. The feature information in the region of face candidate is used to detect a face region. In the recognition step, as a tested, the 360 images of 30 persons are trained by the backpropagation algorithm. The images of each person are obtained from the various direction, pose, and facial expression, Input variables of the neural networks are the feature information that comes from the eigenface spaces. The simulation results of 30 persons show that the proposed method yields high recognition rates.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.363-364
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• 2021

인공 지능 기술을 이용하여 검색 기술이 다양한 응용분야에 적용되고 있다. 고객의 성향 파악 및 개인 맞춤형 추천 시스템에 이르기까지 많은 부분에서 활용되고 있다. 본 연구에서는 일반적으로 입고 생활하는 복장을 중심으로 주로 어린이들이 생활하는 공간에서 성인 남성을 검출하는 시스템을 개발하고자 한다. 이를 통해 무단 침입한 성인의 위험한 상황을 사전에 방지할 수 있으며, 외부인 통제 시스템에 활용 가능할 것이다. 이러한 시스템을 개발하기 위해서 옷에 대한 정보를 활용하며, 옷의 색상, 패턴, 패션 스타일, 크기와 같은 다양한 요소를 활용하여 성인 검출 시스템을 개발한다.

• 한국실내디자인학회논문집
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• 제24권6호
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• pp.229-239
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• 2015

The 21st century is a multiplication age and social and cultural phenomena have become diverse and peoples' desires and individuality have become important. Accordingly, the sensibility that reflects human taste is also required in the exhibition space. The exhibitions in this age induce the direct cognition of senses or take interactive forms that contact diverse media and react. The purpose of this research is to define the concept of haptic presentation method in which the audience perceive in the exhibition space by themselves and the visual elements spread into other senses and perceive complexly, and to present the directional nature. To conduct this research, first, this researcher recognized that haptic sensory experiential research by analyzing the roles and transition history of exhibition space is needed for the present age Second, based on philosophical theories, four haptic sensory expression characteristics (medium nature, experiential nature, attractiveness, sensitiveness) were derived by substituting Giles Deleuze's four haptic spatial characteristics (grasping short distance, dispersed gaze, cognition of bodily movement, formation of synesthesia through complex senses) and six formative factors of exhibition space (space, form, size, light, quality of materials, and color). And the effective exhibition presentation methods were analyzed through six cases of experiential exhibition spaces. Accordingly, what matters in the experiential exhibition space is to produce the four characteristics: medium nature, experientiality, attractiveness, and sensitiveness in equilibrium. It is necessary for the designers to reflect it appropriately in producing so that the audience can think and experience by themselves. Accordingly, in this thesis, it could be seen that to produce the haptic production characteristics in the experiential exhibition space in equilibrium is the important factor in the experiential exhibition space. In conclusion, experiences in the exhibition space should be approached with the transcendental haptic presentation method by which even the space of actually unexperienced cognition can be expanded and experienced through the metastasis and tension of various senses. Also, researches on such senses should be developed continuously, and this researcher expects that this will become a stimulant to present a new directivity.

• 한국실내디자인학회논문집
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• 제26권4호
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• pp.30-41
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• 2017

Sunlight is perceived by human beings first through the epidermis to space, and is a non - material medium that provides physical awareness of space, diversified expression of spaces, and plenty experience. The purpose of this study is to investigate the characteristics of active building skin based on the inflow of natural light required by humans, looked through among the works of Jacques Herzog & Pierre de Meuron, which show the characteristics of active building skin, TEA(Tenerife Espacio de las Artes, 2008), Messe Basel New Hall (2013) and Elbphilharmonie (2016). First, the interaction between Sunlight and space is divided into spatial characteristics and sensitivities according to their concepts, properties, and characteristics. The characteristics of active skin by light are classified into a physical approach and a constructive approach. Second, (El Croquis 152/153) and analyzed the images, detail drawings, and elevations, and simulated them in 3D to express the relationship between light and active building skin. Third, the changes of light intensity, light color, and distribution of light according to the time of light entering and the skin are determined from 6:00 am to 6:00 pm. Fourth, the images taken from January 30th to February 7th, 2017 on the site were compared with the computer simulated images, and the relationship between active skin and light was compared. This study is to recognize the existence and necessity of light required for human being through the activated epidermis differentiated from the limited or closed epidermis focused on information transmission, I would like to emphasize that I would like to take a step closer to the necessity and possibility of new attempts and developments so that I can feel the various experiential spaces by.