• Journal of Korean Home Economics Education Association
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• v.11 no.2
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• pp.13-26
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• 1999

The goals of this research are for producing and optimizing the CD-ROM, effective and practical Teaching-Learning method. It consists of Wearing Korean Traditional Costume for the First Grade of Middle School Students in Home Economics Teaching. This research’s summarization is following. First, the multi-media material. CD-ROM making use of Powerpoint. Wearing Korean Traditional Costume, is produced to help the students learn the difficult contents in terms of video and audio. Second, it is introduced the model of Open Education for increasing the efficiency of class. Third, it is developed to proceed the class with the CD-ROM and small group study of place activity. Fourth, it helps students concentrate on the class with proper sound effect whenever the slide films are changed. And it helps to link the web sites related to Korean Traditional Costume. Finally, another kinds of suggestions are following. The effective verification of this software that is tested and applied at the field for a given period will be necessary. And, it is necessary to upgrade for the CD-ROM and the supplementary teaching materials in Korean Traditional Costume education.

• Journal of Korea Game Society
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• v.13 no.5
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• pp.63-72
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• 2013

To enhance the effect of science educational contents, we developed a motion based training content: 3D space exploration. In this content, we used the 3D depth camera for user's motion recognition. Learners have to conduct the space station maintenance mission using the motion based natural and intuitive interface. The result this study is expected to propose the immersive training simulation for young science learners.

• Journal of Broadcast Engineering
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• v.21 no.4
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• pp.569-577
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• 2016

Place recognition for LBS (Location Based Service) has been one of the important techniques for user-oriented service. FLANN (Fast Library for performing Approximate Nearest Neighbor) of place recognition with image features is fast, but it is affected much by environmental condition such as occlusions. This paper presents a place recognition method using quad vocabulary tree with SURF (Speeded Up Robust Features). In learning stage, an image is represented with spatial pyramid of three levels and vocabulary trees of their sub-regions are constructed. Query image is matched with the learned vocabulary trees in each level. The proposed method measures homography error of the matched features. By considering the number of inliers in sub-region, we can improve place recognition performance.

• The Journal of Korean Association of Computer Education
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• v.8 no.4
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• pp.25-36
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• 2005

Data of 650 college students in the nation were collected by mail in 2001 Nov. Students preference over cyber communication methods were SMS message, messenger, blog, e-mail in that order. Younger students prefer SMS messages while older students prefer e-mail in relative term. Mobile phone is used more for SMS message than voice communication which is more so with females. The rate of non e-mail use is 57.8%, particularly males(61.9%) and younger students(69.4%) are higher. E-mail, once was very high in use, is being replaced by new media. Suggestion for e-learning environment are being connected, immediacy, active use of blog, more use of fun multimedia information.

• Journal of the Korea Society of Computer and Information
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• v.22 no.12
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• pp.101-108
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• 2017

The study proposed a system that filters the data that is entered when analyzing big data such as SNS and BLOG. Personal information includes impersonal personal information, but there is also personal information that distinguishes it from personal information, such as religious institution, personal feelings, thoughts, or beliefs. Define these personally identifiable information as sensitive information. In order to prevent this, Article 23 of the Privacy Act has clauses on the collection and utilization of the information. The proposed system structure is divided into two stages, including Big Data Processing Processes and Sensitive Information Filtering Processes, and Big Data processing is analyzed and applied in Big Data collection in four stages. Big Data Processing Processes include data collection and storage, vocabulary analysis and parsing and semantics. Sensitive Information Filtering Processes includes sensitive information questionnaires, establishing sensitive information DB, qualifying information, filtering sensitive information, and reliability analysis. As a result, the number of Big Data performed in the experiment was carried out at 84.13%, until 7553 of 8978 was produced to create the Ontology Generation. There is considerable significan ce to the point that Performing a sensitive information cut phase was carried out by 98%.

• Journal of Korean Library and Information Science Society
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• v.42 no.2
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• pp.29-50
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• 2011

An aim of this study is to analyze status of information literacy and propose some ways strengthening its role as a cross-curriculum. Analyses show that information literacy is a basic competency of creative person composing the educational human figure under the national curriculum in Korea. In the school knowledge, its position is a procedural knowledge to create new ideas, also it is a interdisciplinary thinking skill under the instructional method. Therefore, information literacy instruction covering media and ICT literacy should exist as a main cross-curriculum to be a selective subject in the national curriculum. And finally, one of learning skills, its definition should be cleary stated such as information research and access, information analyses and interpretation, information synthesize and presentation.

• Journal of The Korean Association of Information Education
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• v.13 no.4
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• pp.517-528
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• 2009

As a convergence media, IPTV is expected to provide better learning experience with customized and individualized contents. Yet, little has been known in the are of contents development. Hence, the purpose of this study was to explore educational use of IPTV in terms of design and development perspective. First, this paper identifies the concept and characteristics of IPTV in an educational context. Second, it categorizes the types of IPTV contents. Lastly, the paper discusses guidelines for the design, development, and management of educational IPTV contents.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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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.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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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.

• Journal of Fashion Business
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• v.1 no.1
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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.