• 정보교육학회논문지
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• 제13권4호
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• pp.517-528
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• 2009

융합미디어로서 IPTV는 다채널, 고화질, 양방향서비스 등 다양한 콘텐츠와 상호작용성, 다양성, 편리성 등의 기능적 속성을 가지는 매체로 인식되고 있다. 그러나 IPTV 활성화의 핵심요소라 할 수 있는 교육용 콘텐츠 개발 계획이나 관리 방안이 수립되지 않아 기존의 방송이나 e-러닝과의 차별화가 이루어지지 않고 있으며 그 교육적 활용에 관한 논의는 아직 부족한 실정이다. 이에 본 연구는 첫째, 교육용 콘텐츠의 개념을 정립하고 IPTV 교육용 콘텐츠의 특성을 규명했다. 둘째, IPTV 콘텐츠의 효율적 활용을 위한 콘텐츠 유형 및 관리 전략을 제시하였다. 셋째, 규명된 콘텐츠의 유형과 특성을 적절하게 반영하고 교육적 효과성을 보장해줄 수 있는 콘텐츠의 개발 전략 및 원칙을 수립하였다

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.606-611
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• 2009

This paper describes a method for achieving a novel design within a class of 3D objects that would create a preferred impression on users. Physical parameters of the 3D objects that might strongly contribute to their visual impressions are sought through computational investigation of the impression ratings obtained for learning samples. "Car body" was selected as the class of 3D objects to be investigated. A morphable 3D model of car bodies that describes the variations in appearance using a smaller number of parameters was obtained. Based on each car body's rating for the impression of speediness obtained by paired comparison, the visual impression was transformed by manipulating the parameters defined in the morphable 3D model. The validity of the proposed method was confirmed by psychological experiments. A new scheme is also proposed to properly re-sample a novel object of a peculiar shape so that such an object could also be represented by the morphable 3D model.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.592-595
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• 2009

In this paper, we propose a face detection technique for still pictures which sequentially uses a skin-color model and a support vector machine (SVM). SVM is a learning algorithm for solving the classification problem. Some studies on face detection have reported superior results of SVM over neural networks. The SVM method searches for a face in a picture while changing the size of the window. The detection accuracy and the processing time of SVM vary largely depending on the complexity of the background of the picture or the size of the face. Therefore, we apply a face candidate area detection method using a skin-color model as a preprocessing technique. We compared the method using SVM alone with that of the proposed method in respect to face detection accuracy and processing time. As a result, the proposed method showed improved processing time while maintaining a high recognition rate.

• 패션비즈니스
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• 제1권1호
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• pp.84-98
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• 1997

This study is to develop a fashion drawing education program which is based on the theory of 'Split-brain' by Roger W. Sperry and 'Drawing on the Right Side of the Brain' by Betty Edwards. Students in Fashion Design start their training by developing a foundation in drawing and studing the tools, materials and methods of the Industry. Ideas are then developed on paper, later translated into three-dimensional shapes and finally into finished garments. Fashion drawing and design techniques train the hand and eye to all the nuances of fashion design and illustration. Fashion drawing course deals with the sketching of fashion models for the purpose of understanding the model figure, basic anatomy, movement and figure attitudes. Having mastered the basic skills, students take advanced drawing course which is developing awareness of design, needs, of fashion market' using various media for the purpose of developing a designer's sketch, with emphasis on the drawing and designs. Featured aspects of this study include the following; 1. Drawing the negative space; basic visual concepts 2. Contour drawing; constructs, visual measurement, movement 3. Model drawing; the classical method, proportion, symmetry. The primary aim of this study is to develop a sensitive, animated line based on observed form. It is important to let the students Imagine that they are actually touching the model, for in this way they can benefit from simulating the child's learning process. Instead of actually touching the model they are using their eyes as an extension of their sense of touch.

• Food Quality and Culture
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• 제3권2호
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• pp.82-88
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• 2009

This study developed learning content and web pages providing information on Health/Functional Food (HFF) for consumers who come across information indiscriminately from a variety of advertising media such as the Internet and TV. After coming to an understanding of the current situation through literature review and fact-finding, we collected information and commercials on HFF that are exposed to consumers. Focusing on advanced countries such as the U.S. and Japan, we examined the current status of consumer education programs, especially in terms of HFF industry. Further, we referred to the guidelines for consumer education provided by the U.S. Food and Drug Administration and monitored the information from a web site that sells dietary supplementary products in the U.S. In addition, we surveyed consumer information on foods for special health use provided by the Japanese National Institute of Health & Nutrition, and investigated a DB of raw materials of function food (functionality/safety documents). Upon a literature review, the 13 functions of HFF were classified. As a result of conducting interviews with consumers, we developed content that was fit for consumers' perspectives. Through this research, we established a web page to enable people to search for information by function and then by raw material. After searching for information by raw materials, searching products by raw materials can be done in cooperation with E-marketplace. Subsequently developed content and education programs were offered on an HFF web page, which has been in operation since 2005. Therefore, it is expected that appropriate information on HFF will be available.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2004년도 정기총회 및 학술대회
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• pp.151-154
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• 2004

디지털 방송의 시작과 함께, 지상파, 위성, 케이블과 같은 다양한 매체를 통한 다채널 방송 시청 환경의 도래는 사용자에게 많은 방송 프로그램 시청 정보를 전달하게 되었다. 이와 더불어, 방송 단말에 전송된 다양한 방송 프로그램 정보를 탐색하고 선호 방송 프로그램을 선별하기 위해서는 사용자에게 많은 노력이 요구된다. 이러한 요구에 따라, 똔 논문에서는 다채널 방송 시청 환경 하에서 사용자의 방송 프로그램 시청 히스토리를 분석하고, 특정 시간에 따른 사용자의 방송 프로그램 시청 패턴을 추출하여 방송 프로그램 장르에 대한 사용자 선호도를 자동으로 계산하는 알고리즘을 제안하고, MPEG-7 MDS 구조에 따른 사용자 선호도 서술과 사용자의 선호도에 따라 방송 프로그램을 자동적으로 추천하는 TV 프로그램 추천 어플리케이션을 소개한다 본 실험을 위해 실제 연령대별, 성별, 시간대별로 사용자의 TV 시청 자료를 사용하였으며, 실험결과를 통해 본 논문에 제안된 베이시안 네트워크 기반 사용자 자동 학습 알고리즘이 효과적으로 사용자 선호도를 학습할 수 있음을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권8호
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• pp.1472-1491
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• 2011

As used product transactions are currently on the rise, the demand for transactions of secondhand digital content will grow in the future; thus, learning to make secure transactions while avoiding cyber attacks becomes an important issue. In this paper, we combine the new buyer's secret key, the new buyer's watermark to embed in resold digital content, and the reseller's encrypted watermark, which can prove legal ownership of the reseller. Using the privacy homomorphism property of RSA and exponential calculus, the original seller of digital content can verify the legality of the reseller and the new buyer. We also reduced the load of encryption/decryption digital content using a partial encryption/decryption algorithm to make our protocol more efficient and practical. In the proposed protocol, the seller is not able to conduct piracy and easily frame any other innocent secondhand buyer when a case of piracy is found. In fact, piracy can be clearly traced using the privacy homomorphism property of RSA and the embedded watermark mechanism. Further, in the proposed protocol, the seller himself can trace the piracy using exponential calculus. Since it is unnecessary to trust third party participation, the conspiracy problem is resolved and the new buyer is not required to participate in the dispute. Moreover, the seller, reseller and new buyer can simultaneously benefit from the secondhand transaction.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2005년도 학술대회
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• pp.199-202
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• 2005

TV OSD(On Screen Display) 메뉴 자동검증 시스템에서 다국적 언어의 문자 인식은 표준패턴의 구조적 분석이 쉽지 않을 뿐만 아니라 학습패턴 집합의 규모와 특징의 수가 증가함으로 인하여 특징추출 및 인식 과정에서 방대한 계산량이 요구된다. 이에 본 연구에서는 학습 데이터에 포함되는 다량의 특징 집합으로부터 인식에 필요한 효과적인 특징을 선별함으로써 패턴 분류기의 효율성을 개선하기 위한 방법론을 고찰한다. 이를 위하여 수정된 형태의 Adaboost 기법을 제안하고 이를 적용한 실험 결과로부터 그 유용성을 고찰한다. 제안된 알고리즘은 초기의 특징 집합을 취약한 성능을 갖는 다수의 분류기(classifier)로서 고려하며, 이로부터 반복학습을 통하여 개선된 분류기를 점진적으로 선별해 나가게 된다. 학습의 원리는 주어진 학습패턴 집합에 기초하여 일종의 교사학습(supervised learning) 방식으로 이루어진다. 각 패턴에 할당된 가중치 값은 각 단계에서 산출되는 분류결과에 따라 적응적으로 수정되어 반복학습이 진행됨에 따라 점차 보완적 성능을 갖는 분류기를 선택할 수 있게 한다. 즉, 주어진 각 학습패턴에 대하여 초기에 균등한 가중치가 부여되며, 반복학습의 각 단계에서 적용되는 분류기의 출력을 분석하여 오분류된 패턴의 가중치 분포를 증가시켜 나간다. 본 연구에서는 실제 응용으로서 OSD 메뉴검증 시스템을 대상으로 제안된 이론을 적용하고 그 타당성을 평가한다.

• 한국간호교육학회지
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• 제8권1호
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• pp.145-154
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• 2002

Purpose : The purpose of this study was to investigate the experiences of masturbation among high school students. Method : The subjects were 925 high school students in Busan. Masturbation experience, hygienic management and physical, psychological condition after masturbation were measured. The data was collected from December 1998 to February 1999. The collected data was analyzed with frequency, percentage, mean, $x^2$ -test, t-test. Result : 1) There were significant differences in masturbation experiences according to frequency($x^2$=547.94, p=.000), educational participation($x^2$=12.11 p=.001) and hygienic management(t=3.661, p=.001) between boys and girls. 2) Contact of lewd mass media stimulated students to do masturbation and they used various methods such as stimulating genital area by using hand or tools, fantasizing about sex 3) Subjects reported that they experienced fatigue, sleeping disturbance, decreasing concentration and learning desire after masturbation. Conclusion : This study suggests that replicate studies are needed. The results are also useful in developing various sex education program.

• 한국환경교육학회지:환경교육
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• 제11권2호
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• pp.14-25
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• 1998

The Quality of human living depends on the environmental quality of the region sustaining the life. The environmental deterioration of the modern society is due to mechanical environmentalism. For the better quality of the life, The changes of recognition and attitude on the environments are required. These changes of mind are also important in environmental education for teenagers. The 7th national curriculum, officially anounced December 1998, focuses on the change of attitude to environments and practical behavior in real life for “Environments”, the environmental education curriculum in middle school. Basic elements of the curriculum are cultivation of the pro-environmental thinking, multi-levelling of teaching materials and methods, and encouraging of student participating activity. Actually, the curriculum construction is composed of stepped-levelling of teaching and learning, reasonable contents volume, encouraging of student practice, and suggesting of evaluation standards of textbook writing. Three main subjects of environmental education for middle school consist of (1) man and environment, (2) recognition of environmental problem, and (3) protection activity for environment. Methodology of environmental education can include multi-disciplinary approaches, variable teaching methods, and continuing evaluation of student practice and participation attitude. Environmental education for teenagers relating to the 7th national curriculum focuses on recognition of the environmental problems and practice activity in daily life. The recognition includes considering relationship of human life to environment, solving environmental problems in regional context, and development of comprehensive understanding concept of the environments. For the practice education, variable teaching methods, such as field survey and application of multi-media, are needed.