• Journal of KIISE:Information Networking
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• v.29 no.1
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• pp.97-107
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• 2002

In general, under interactive broadcasting environment, user finds additional service using top-down menu. However, user can't know that additional service provides information until retrieval has finished and top-down menu requires multi-level retrieval. This paper proposes the new method for additional service providing not using top-down menu but using object selection. For the purpose of this method, the movie of a MPEG should be synchronized with the object information(position, size, shape) and object tracking technique is required. Synchronization technique uses the Directshow provided by the Microsoft. Object tracking techniques use a motion-based tracking and a model-based tracking together. We divide object into two parts. One is face and the other is substance. Face tracking uses model-based tracking and Substance uses motion-based tracking base on the block matching algorithm. To improve precise tracking, motion-based tracking apply the temporal prediction search algorithm and model-based tracking apply the face model which merge ellipse model and color model.

• Journal of KIISE:Software and Applications
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• v.31 no.7
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• pp.939-948
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• 2004

In this paper. we Propose a robust and fast image registration technique for motion correction in brain CT-CT angiography obtained from same patient to be taken at different time. First, the feature points of two images are respectively extracted by 3D edge detection technique, and they are converted to locally weighted 3D distance map in reference image. Second, we search the optimal location whore the cross-correlation of two edges is maximized while floating image is transformed rigidly to reference image. This optimal location is determined when the maximum value of cross-correlation does't change any more and iterates over constant number. Finally, two images are registered at optimal location by transforming floating image. In the experiment, we evaluate an accuracy and robustness using artificial image and give a visual inspection using clinical brain CT-CT angiography dataset. Our proposed method shows that two images can be registered at optimal location without converging at local maximum location robustly and rapidly by using locally weighted 3D distance map, even though we use a few number of feature points in those images.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.5
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• pp.642-653
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• 2002

The purposes of this studs were 1) to identify web navigation values and classify consumers based on these values and 2) to determine differences between consumer groups and between types of shopping mall in evaluation of website attributes when shopping apparel. The data were collected via a self-administered questionnaire from 204 male and female students who experienced shopping at the website, living in Cheju and analyzed by factor analysis, cluster analysis and t-test. Two factors of navigation value were found and labeled as; information value and entertainment value. Two groups were identified based on navigation value; users of information value (53%) and users of entertainment value (47%). Significant differences between two groups were found in evaluating website attributes selling products of various types regarding apparel products and processes for information search, order and payment. However, for shopping mall website selling only apparel products, differences between two groups were not significant in evaluating most attributes except for two items to evaluate apparel products. Differences between shopping mall types (shopping malls selling products of various types and selling only apparel product) were significant in evaluation of internet users of information value regarding attributes of apparel products while differences between shopping mall types were not significant in evaluation of users of entertainment value regarding all attributes. Internet users of information value showed favor to shopping mall website of department store type chi e internet users of entertainment value showed favor to shopping mall website selling only apparel products.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.146-147
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• 2017

Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Internet of things" keyword, one month as of october 8, 2017. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Internet of things" has been found to be technology (995). This study suggests theoretical implications based on the results.

• The KIPS Transactions:PartD
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• v.9D no.3
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• pp.457-466
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• 2002

In this paper, we designed and implemented a web-based dictionary of computing which keeps the data up-to-date. This dictionary shows the English information based on the FOLDOC (Free On-Line Dictionary Of Computing) dictionary file at the beginning of searching, and then one or more users can translate the information into Korean. This function is the new one only this dictionary has. Also, we can easily find any words we want to took up, even if we don't know the spelling completely, because the dictionary has various searching interfaces (searching for the words starting with inputted characters, searching for the words including inputted characters in the description, etc.) using a SQL Server DBMS and SQL. The performance test for CPU load factor shows that the server can support at least 1780 users at the same time.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.1-7
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• 2017

Joint Collaborative Team on Video Coding (JCT-VC) of ISO/IEC MPEG and ITU-T developed the HEVC Screen Content Coding (HEVC SCC) standard as the HEVC extension for the screen content video coding. The Intra Block Copy (IBC) is the most effective tool adopted in HEVC SCC and predicts current block from already reconstructed neighboring blocks in the same picture. To reduce the amount of data in BV (Block Vector) to be transmitted, a BV predictor (BVP) is used to generate the BV differences in the IBC BV coding. In this paper, we analyze the current BV prediction process using HEVC reference software SCM-2.0 and SCM-4.0. Based on the analysis results, we propose an improved BVP candidate selection algorithm by adding a search process for adjacent BVs in addition to the existing spatial BVP candidates. Experimental results show that the BD-rate reduction of our proposed improvements ranges from 0.2% to 1%.

• Journal of Biomedical Engineering Research
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• v.27 no.5
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• pp.250-259
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• 2006

The information of eye movement is used in various fields such as psychology, ophthalmology, physiology, rehabilitation medicine, web design, HMI(human-machine interface), and so on. Various devices to detect the eye movement have been developed but they are too expensive. The general methods of eye movement tracking are EOG(electro-oculograph), Purkinje image tracker, scleral search coil technique, and video-oculograph(VOG). The purpose of this study is to embody the algorithm which tracks the location of the gazing point at a pupil. Two kinds of location data were compared to track the gazing point. One is the reference points(infrared LEDs) which is effected from the globe. Another is the center point of the pupil which is gained with a CCD camera. The reference point was captured with the CCD camera and infrared lights which were not recognized by human eyes. Both of images which were thrown and were not thrown an infrared light on the globe were captured and saved. The reflected reference points were detected with the brightness difference between the two saved images. In conclusion, the circumcenter theory of a triangle was used to look for the center of the pupil. The location of the gazing point was relatively indicated with the each center of the pupil and the reference point.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.2778-2788
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• 2014

The purpose of this study is to find out the factors that stress for getting a job and psychological well-being affect career decision efficacy of college students. In order to accomplish the purpose, survey was conducted on 447 college students in the city of I. The results were first, college students' stress for getting a job, psychological well-being, and career decision efficacy didn't have difference by the distinction of sex. Second, some significant difference was present on college students' stress for getting a job, psychological well-being, and career decision efficacy by grade levels. Third, some meaningful correlation was shown on college students' stress for getting a job, psychological well-being, and career decision efficacy. Fourth, college students' stress for getting a job and psychological well-being have a positive impact on their career decision efficacy. As seen in such results, in the course of career search and choice, stress for getting a job and psychological well-being was shown as positive variables. When college students are making a decision on their career, their career decision efficacy can be an important factor of career counseling.

• Journal of Korea Multimedia Society
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• v.5 no.1
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• pp.77-93
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• 2002

Now we are following component-based software development as a solution to improve the reusability, reliability, and extensibility of the software. To support these, the developed components must be reused through component repository at software development. However, traditional centralized repositories couldn't activate component markets since not only the number of users were restricted but also most of the provided components were those on clients like user interface and so on. Recently, a lot of server-side components, reused in a specific domain, have appeared thanks to the development of both Internet technology and component technology such as EJB, DCOM, etc. Therefore, component repositories, based on domain information, classify and provide components and must offer web-based service for many users to use it stably. This study introduces the implementation of a component repository based on J2EE application model. It provides application developers with the service to search and extract appropriate components, and supplies them reliable services in web environment.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.4
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• pp.351-363
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• 2004

Recent commencement of digital broadcasting has enabled various TV programs through hundreds of channels. As a result, it becomes a time-consuming job for the TV audience to look up newspaper or TV magazines for the schedule of a specific TV program. To relieve this problem, digital broadcasting usually provides an EPG(Electronic Program Guide) for the audience. Currently. most EPG services are focusing on the visual delivery of information through a web site, digital TV or mobile devices. However, this approach could cause a serious restriction to some users including drivers or visually handicapped persons, who can't input keywords for the search. In order to solve this problem, in this paper, we propose a VoiceXML-based EPG retrieval system that enables even such special users to browse EPG. conveniently using a mobile phone. We implemented a prototype system and proved its effectiveness through experiments.