• Journal of Biomedical Engineering Research
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• v.29 no.2
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• pp.164-171
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• 2008

Recently, many of hospitals have hurried to computerize the resulting data from medical devices, in order to introduce Electric Medical Record(EMR). In terms of the linkage between medical devices and hospital information systems, however, many difficulties have arisen due to some reasons such as the variety of prescription input, the format difference of the resulting data sheet, and the interface difference between medical devices from different companies. To solve these problems, many researches on standardization of the resulting data of medical devices have been performed. In this study, the linkage between hospital information systems and resulting datum in Electrocardiogram(ECG) generating biosignal waveform was tested by applying Medical waveform Format Encoding Rules(MFER) Version 1.02, which has more advantages than existing global standard. MFER viewer, in addition, was made to display the resulting data on a screen. The MFER viewer was tested and compared to the existing Scalable Vector Graphics (SVG) Viewer. The results showed that this method is more effective in the interface the data storage and application, because of simplicity and easiness in data applications. And the results show that the MFER is convenience and effective for physician. It is considered that the role of MFER as the interface in biosignal waveform including Electrocardiogram medical devices would expand in the near future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.231-234
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• 2007

This study proposes a Web GUI system using MGIS-based three-dimensional data models and hydrodynamic model. The study of Web GUI (Graphic User Information) system based on the MGIS (Marine Geographic Information System) is mainly performed on effective methodologies which transform real world data to computing world data. Finally, we design a Seomjin River Estuary Web GUI system integrating above data models. It must adds more ecological information and the various service item for approach more easily in order to user.

• Journal of Korea Game Society
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• v.5 no.3
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• pp.11-16
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• 2005

As an improvement of the CPU performance of mobile terminals and an increase of user requirements for multimedia services, various multimedia services and applications have been developed and served over mobile platforms. In this paper, we describe the design and implementation of the Mobile Flash which is one of the famous services in mobile platforms with the limitation of hardware resources. The Mobile flash is an optimized solution for mobile terminals of the Flash, which has been used in the Internet browsers not less than 95% in the world for playing various types of contents such as animations, games, contents for education, e-commerce.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.04b
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• pp.611-614
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• 2001

최근 인터넷 사용의 폭발적인 증가로 인하여 웹 상에서 유기적으로 통합된 멀티미디어 컨텐츠에 대한 서비스 제공의 필요성이 대두되었다. 이에 1998년 W3C(World Wide Web Consortium)는 통합 멀티미디어 표현 언어인 SMIL(Synchronized Multimedia Integration Language)을 발표하였고, SMIL-Boston으로 진행했던 SMIL 1.0 확장 프로젝트를 SVG(Scalable Vector Graphics)의 애니메이션 기능의 도입 및 기능 확장으로 2000년 9월 SMIL 2.0으로 최종 Working Draft안을 발표하게 되었다. 이에 본 논문에서는 SMIL컨텐츠 저작을 위한 자동 생성 모듈 및 전용 저작 도구를 제공하고, SMIL 컨텐츠 데이터베이스 서버 및 재생기와의 통합으로 원활한 SMIL 컨텐츠 서비스 환경을 제공하는 웹 멀티미디어 컨텐츠 서비스를 위한 서버/클라이언트 통합 시스템을 설계 및 구현하였다.

• Proceedings of the IEEK Conference
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• 2001.06d
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• pp.5-8
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• 2001

We propose a realtime numeric caption recognition algorithm that automatically recognizes the numeric caption generated by computer graphics (CG) and displays the modified caption using the recognized resource only when a valuable numeric caption appears in the aimed specific region of the live sportscast scene produced by other broadcasting stations. We extract the mesh feature from the enhanced binary image as a feature vector after acquiring the sports broadcast scenes using a frame grabber in realtime and then recover the valuable resource from just a numeric image by perceiving the character using the neural network. Finally, the result is verified by the knowledge-based rule set designed for more stable and reliable output and is displayed on a screen as the converted CC caption serving our purpose. At present, we have actually provided the realtime automatic mile-to-kilometer caption conversion system taking up our algorithm f3r the regular Major League Baseball (MLB) program being broadcasted live throughout Korea over our nationwide network. This caption conversion system is able to automatically convert the caption in mile universally used in the United States into that in kilometer in realtime, which is familiar to almost Koreans, and makes us get a favorable criticism from the TV audience.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.8
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• pp.1821-1827
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• 2005

Currently, most wired Internet describes an image file using GIF and JPG and wireless Internet uses various image files such as SVG, wBMP, SIS, PNG, and Flash Lite. Accordingly, overlapping occurs in the investment of production cost for making contents. This thesis proposes a Character(Avatar) service that could simultaneously aid both wired and wireless Internet by utilizing SVG, a vector based image file format for describing two-dimensional graphics. We will reduce cost of developing contents, when develop contents that simultaneously supports wired and wireless Internet using SVG.

• Journal of the Korea Computer Graphics Society
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• v.16 no.1
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• pp.1-7
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• 2010

With the widespread use of vision-based surveillance systems, the capability for person identification is now an essential component. However, the CCTV cameras used in surveillance systems tend to produce relatively low-resolution images, making it difficult to use face recognition techniques for person identification. Therefore, an algorithm is proposed for person identification in CCTV camera images based on the clothing. Whenever a person is authenticated at the main entrance of a building, the clothing feature of that person is extracted and added to the database. Using a given image, the clothing area is detected using background subtraction and skin color detection techniques. The clothing feature vector is then composed of textural and color features of the clothing region, where the textural feature is extracted based on a local edge histogram, while the color feature is extracted using octree-based quantization of a color map. When given a query image, the person can then be identified by finding the most similar clothing feature from the database, where the Euclidean distance is used as the similarity measure. Experimental results show an 80% success rate for person identification with the proposed algorithm, and only a 43% success rate when using face recognition.

• Journal of the Korea Computer Graphics Society
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• v.12 no.4
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• pp.23-32
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• 2006

In recent years, since the digital camera has been popularized, so users can easily collect hundreds of photos in a single usage. Thus the managing of hundreds of digital photos is not a simple job comparing to the keeping paper photos. We know that managing and classifying a number of digital photo files are burdensome and annoying sometimes. So people hope to use an automated system for managing digital photos especially for their own purposes. The previous studies, e.g. content-based image retrieval, were focused on the clustering of general images, which it is not to be applied on digital photo clustering and classification. Recently, some specialized clustering algorithms for images clustering digital camera images were proposed. These algorithms exploit mainly the statistics of time gap between sequent photos. Though they showed a quite good result in image clustering for digital cameras, still lots of improvements are remained and unsolved. For example the current tools ignore completely the image transformation with the different focal lengths. In this paper, we present a photo considering focal length information recorded in EXIF. We propose an algorithms based on MVA(Matching Vector Analysis) for classification of digital images taken in the every day activity. Our experiment shows that our algorithm gives more than 95% success rates, which is competitive among all available methods in terms of sensitivity, specificity and flexibility.

• Journal of the Korea Computer Graphics Society
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• v.24 no.4
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• pp.29-38
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• 2018

In this paper, we propose an automatic segmentation method of meniscus in knee MR images by automatic meniscus localization, multi-atlas-based locally-weighted voting, and patch-based edge feature classification. First, after segmenting the bone and knee articular cartilage, the volume of interest of the meniscus is automatically localized. Second, the meniscus is segmented by multi-atlas-based locally-weighted voting taking into account the weights of shape and intensity distribution in the volume of interest of the meniscus. Finally, to remove leakage to the collateral ligaments with similar intensity, meniscus is refined using patch-based edge feature classification considering shape and distance weights. Dice similarity coefficient between proposed method and manual segmentation were 80.13% of medial meniscus and 80.81 % for lateral meniscus, and showed better results of 7.25% for medial meniscus and 1.31% for lateral meniscus compared to the multi-atlas-based locally-weighted voting.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.12
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• pp.894-906
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• 2006

There are many difficulties to develop a mobile contents due to many constraints on mobile environments. It is difficult to make a good mobile contents with only visual reduction of existing contents on wire Internet. Therefore, it is essential to devise the data representation and to develop the authoring tool to meet the needs of the mobile contents market. We suggest the compact mobile contents to learn Chinese characters and developed its authoring tool. The animation which our system produces is realistic as if someone writes letters with pen or brush. Moreover, our authoring tool makes a user generate a Chinese character animation easily and rapidly although she or he has not many knowledge in computer graphics, mobile programming or Chinese characters. The method to generate the stroke animation is following: We take basic character shape information represented with several contours from TTF(TrueType Font) and get the information for the stroke segmentation and stroke ordering from simple user input. And then, we decompose whole character shape into some strokes by using polygonal approximation technique. Next, the stroke animation for each stroke is automatically generated by the scan line algorithm ordered by the stroke direction. Finally, the ordered scan lines are compressed into some integers by reducing coordinate redundancy As a result, the stroke animation of our system is even smaller than GIF animation. Our method can be extended to rendering and animation of Hangul or general 2D shape based on vector graphics. We have the plan to find the method to automate the stroke segmentation and ordering without user input.