• 복식
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• 제54권3호
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• pp.99-112
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• 2004

The purpose of this research is to examine the relation between the cyber environment and the contemporary fashion design by studying the formative feature characteristics of cyber character's fashion in the on-line game from the point of the contemporary fashion design. The research method is to understand the general concept of the cyber-space and characters and then is to contemplate characteristics and formative features of game character's fashion of the cyber-space mainly with cyber characters that were closely linked with features of the contemporary fashion design. As a result, the formative feature of game character's fashion of the cyber-space was to be classified into four categories; reactionism, mechanism, futurism, sensualism. First, reactionism takes traditional elements with symbolical and compromising form. Second, mechanism has a tendency of deconstruction due to its vitality and sense of velocity for objects through employing geometrical forms and new materials. Third, futurism deviates from the established framework. It makes use of high-tech materials and has surrealistic and futuristic features. Fourth, sensualism does emphasize sensual parts of the body and intends to convey aesthetic atmosphere through association of ideas. Character's fashion of the cyber on-line game is unnatural and artificial in its forms and wear for the lack of knowledge for costume's structure, and it shows just simplified design that accept extremely partial fragment of features in the contemporary fashion design.

• 제어로봇시스템학회논문지
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• 제13권9호
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• pp.832-837
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• 2007

Electroencephalographic(EEG) is used to record activities of human brain in the area of psychology for many years. As technology develope, neural basis of functional areas of emotion processing is revealed gradually. So we measure fundamental areas of human brain that controls emotion of human by using EEG. Hands gestures such as shaking and head gesture such as nodding are often used as human body languages for communication with each other, and their recognition is important that it is a useful communication medium between human and computers. Research methods about gesture recognition are used of computer vision. Many researchers study Emotion Recognition method which uses one of EEG signals and Gestures in the existing research. In this paper, we use together EEG signals and Gestures for Emotion Recognition of human. And we select the driver emotion as a specific target. The experimental result shows that using of both EEG signals and gestures gets high recognition rates better than using EEG signals or gestures. Both EEG signals and gestures use Interactive Feature Selection(IFS) for the feature selection whose method is based on a reinforcement learning.

• 한국컴퓨터정보학회논문지
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• 제11권5호
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• pp.53-58
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• 2006

본 논문에서는 영상처리 기법을 이용하여 골프 스윙 자동 분석을 위한 특징 추출 방법을 제안하였다. 기존 대부분의 스윙 분석 시스템들이 골프 코치와 같은 전문가가 필요한 반면 제안한 특징 추출 방법을 이용하면 전문가의 도움 없이 중요한 스윙 특징을 추출할 수 있다. 추출한 특징은 어드레싱, 백스윙, 스윙탑, 포워드 스윙, 임팩트, 팔로우쓰루와 같은 키 프레임뿐만 아니라 손, 어깨, 클럽헤드, 발, 무릎과 같은 골퍼의 신체부위와 클럽의 위치까지 포함 한다. 제안한 방법의 효용성을 알기 위하여 스윙영상에 대하여 실험한 결과 제안한 방법이 중요한 골프 스윙 특징 추출에 유용함을 확인하였다.

• 제어로봇시스템학회논문지
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• 제13권11호
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• pp.1082-1091
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• 2007

In this paper, we developed a new hybrid mobile robot which can climb stairs and go over thresholds by crawl gait with embedded real-time control software. This robot is also categorized into hybrid robot that has advantages of wheeled mobile robot and legged mobile robot, but adopts gait feature of crocodile named belly crawl. We imitated the belly crawl using four legs of 2 DOF, four omni-directional wheels, and embedded control software which controls legs and wheels. This software is developed using RTAI/Linux, real-time drivers. As a result, the new hybrid mobile robot has crawl gait. Using this feature, the new hybrid mobile robot can climb stairs and go over thresholds just by path planning of each leg with size of stairs and thresholds, and computing the movement distance of robot body center without considering stability. The performance of our new hybrid mobile robot is verified via experiments.

• 한국주거학회논문집
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• 제8권2호
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• pp.135-145
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• 1997

The purpose of this study was to investigate the space feature of private kindergarten in Taegu city. This study was conducted by means of the observation on the equipments, the actual measurement of space of kindergarten and environment, and the questionnaire survey by the chief of kindergarten. The samples for analysis were 20 kindergartens on Taegu city. The Major findings were as follows :1) The chiefs of kindergartens were generally satisfied with the whole range of institutions and it's management.2) Generally the environmental coditions were satisfactory, but the design of the equipments had no consideration for children's body size.3) According to observation on the equipment, it was found that generally environment of kindergarten were desireable.

• 대한방사선기술학회지:방사선기술과학
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• 제41권5호
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• pp.451-456
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• 2018

During last a decade, there has been increased demand for 3D-printed medical devices with significant improvement of 3D-Printer (also known as Additive. Manufacturing AM), which depend upon human body features. Especially, demand for personalized medical material is highly growing with being super-aged society. In this study, 3D-reconstructed 3D mesh image from CT/MRI-images is demonstrated to analyse each patients' personalized anatomical features by using in house, then to be able to manufacture its counterpart. Developed software is distributed free of charge, letting various researcher identify biological feature for each areas.

• Annals of Clinical Neurophysiology
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• 제3권1호
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• pp.40-42
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• 2001

Anorexia nervosa(AN) is a disorder characterized by disturbance of body image, fear of gaining weight, severe weight loss and, in female, amenorrhea. Compared with normal persons, patients with AN have neuropathic symptoms more frequently. But electrophysiologic abnormalities have rarely been reported. We experienced a case with recurrent neuropathic symptoms after severe weight loss. Further evaluation revealed AN. Electrophysiologic study showed sensorimotor polyneuropathy and focal neuropathy with conduction block. As far as we know, this feature of neuropathy in AN has not been described. We describe unusual feature of neuropathy in our patient with literature review.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2002년도 Proceedings
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• pp.478-480
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• 2002

Heating by RF wave is divided into dielectric heating and induction heating. Dielectric heating and induction heating from outside the body have the compensatory heating pattern. While surface fat layer is heated by dielectric heating, it is not heated by induction heating. While the peripheral part at the middle of the electrodes is not heated by dielectric heating, it is heated by induction heating. By the simultaneous application both modalities, heating pattern seems to be more uniform and improved. Computer simulation of Finite Element Method (FEM) using ANSYS was conducted to dielectric heating with the results of above-mentioned feature. Theoretical considerations by the uniform RF magnetic field in a cylinder and textbooks support the feature of the above-mentioned heating pattern of induction heating. Further computer simulation of FEM using ANSYS will be conducted to simultaneous application of dielectric heating and induction heating to verify and will be reported.

• Structural Engineering and Mechanics
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• 제57권3호
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• pp.529-541
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• 2016

Under the interaction between dam body, dam foundation and external environment, the dam structural behavior presents the time-varying nonlinear characteristics. According to the prototypical observations, the correct identification on above nonlinear characteristics is very important for dam safety control. It is difficult to implement the description, analysis and diagnosis for dam structural behavior by use of any linear method. Based on the rescaled range analysis approach, the algorithm is proposed to identify and extract the fractal feature on observed dam structural behavior. The displacement behavior of one actual dam is taken as an example. The fractal long-range correlation for observed displacement behavior is analyzed and revealed. The feasibility and validity of the proposed method is verified. It is indicated that the mechanism evidence can be provided for the prediction and diagnosis of dam structural behavior by using the fractal identification method. The proposed approach has a high potential for other similar applications.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(3)
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• pp.199-202
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• 2002

We described a real-time 3D computer vision system called MIMIC(Motion interface f Motion information Capture system) that can capture and save motion of an actor. This system analyzes input images from vision sensors and searches feature information like a head, hands, and feet. Moreover, this estimates intermediated joints as an elbow and hee using feature information and makes 3D human model having 20 joints. This virtual human model mimics the motion of an actor in real-time. Therefore this system can realize the movement of an actor unaffectedly because of making intermediated joint for complete human body contrary to other marker-free motion capture system.