• The Journal of the Korea Contents Association
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• v.9 no.4
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• pp.286-298
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• 2009

Became large a problem we were productive movement of information became large and occurring to diffusions of development of public media and Internet use. While the Internet became a generalization, public media had more influences and risks, and a crime to abuse anonymity became large in cyber space. In addition, damage is becoming expanded reproduction that infringe of ' crime victim's rights of portrait'. The point that is most important in order to improve these points is recognition regarding the special situation of crime victim, and the ethic consciousness and independent operation regulation and regulation system that these point was taken into consideration in the public media and Internet operation that are an information producer is necessary, and Internet portal shall be included like Internet newspapers to the arbitration object of the Press Arbitration Commission. Also, a legal system regarding personal responsibility shall have for protection of a crime victim's rights of portrait by personal information activity for protection in cyber space. Suggest to a portrait of a crime victim, and an individual and social rights security effort are required for activation regarding an infringement relief system.

• Journal of International Society for Simulation Surgery
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• v.1 no.1
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• pp.37-40
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• 2014

Purpose For living donor liver transplantation, liver segmentation is difficult due to the variability of its shape across patients and similarity of the density of neighbor organs such as heart, stomach, kidney, and spleen. In this paper, we propose an automatic segmentation of the liver using multi-planar anatomy and deformable surface model in portal phase of abdominal contrast-enhanced CT images. Method Our method is composed of four main steps. First, the optimal liver volume is extracted by positional information of pelvis and rib and by separating lungs and heart from CT images. Second, anisotropic diffusing filtering and adaptive thresholding are used to segment the initial liver volume. Third, morphological opening and connected component labeling are applied to multiple planes for removing neighbor organs. Finally, deformable surface model and probability summation map are performed to refine a posterior liver surface and missing left robe in previous step. Results All experimental datasets were acquired on ten living donors using a SIEMENS CT system. Each image had a matrix size of $512{\times}512$ pixels with in-plane resolutions ranging from 0.54 to 0.70 mm. The slice spacing was 2.0 mm and the number of images per scan ranged from 136 to 229. For accuracy evaluation, the average symmetric surface distance (ASD) and the volume overlap error (VE) between automatic segmentation and manual segmentation by two radiologists are calculated. The ASD was $0.26{\pm}0.12mm$ for manual1 versus automatic and $0.24{\pm}0.09mm$ for manual2 versus automatic while that of inter-radiologists was $0.23{\pm}0.05mm$. The VE was $0.86{\pm}0.45%$ for manual1 versus automatic and $0.73{\pm}0.33%$ for manaual2 versus automatic while that of inter-radiologist was $0.76{\pm}0.21%$. Conclusion Our method can be used for the liver volumetry for the pre-surgery planning of living donor liver transplantation.

• Journal of Cadastre & Land InformatiX
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• v.45 no.2
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• pp.71-85
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• 2015

Recently, the South Korean government actively opens the public data to encourage people to use it in private sector. It is based on 'Government 3.0' that is the paradigm for government operation. According to this trend, a data platform is required for establishing and commercializing business models that utilizing geospatial data. However, it is currently insufficient to establish the geospatial data system using the text-based public open data. This study constructs a geospatial data supply system using the public data for the purpose of providing and using the public data of spatial reference type efficiently. It improves the accessibility of user and the usability to the public data having location information. Besides, this study suggests that the components of the appliance system that connects the public data from different public institutions for different purposes with producing the geospatial data in the type of a finished product.

• Journal of the Korean Home Economics Association
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• v.45 no.10
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• pp.21-31
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• 2007

The purpose of this study was to clarify the factors that characterize the fashion brand online communities that have a high participation rate among high school students, and to determine the impact of those factors on the high school students' commitment to the community, especially in relation to their demographics. The study was implemented through a descriptive survey method using an online questionnaire. The sample consisted of 301 members of online fashion brand communities operated on the Daum portal site. The data were analyzed by frequency, factor analysis, and regression analysis. The results are as follows: (1) Factor analysis revealed that the characteristics of a fashion brand online community are associated with three factors ; compensation/interest, interactivity, and information. (2) Regression analysis showed that the more compensation/interest, opportunity for interaction, and information the community provides, the more likely high school student members are to show a higher level of commitment to the community. (3) There was no difference in the effect of community attribute factors on the high school student members' commitment to the community according to gender. The group of students majoring in human and liberal education was the most influenced by the attributes of fashion brand online communities. The interactivity factor had a greater impact on the group of students majoring in art and physical education than on the other groups. The greater the use of the Internet, the greater the impact of community attributes on commitment. (4) In the process of developing an online community, marketers should fully consider the fact that information factors have the biggest impact on high school students' commitment to the community. Therefore, greater effort should be made to differentiate between community attributes based on high school students' majors and their amount of Internet use in order to motivate commitment to the community and brand loyalty as well.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.660-663
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• 2009

Consumers express how they evaluate what they purchased by writing reviews especially when they purchased products online. By analyzing the reviews about a product, it will be possible to find out what the consumers liked and disliked about the product. It will be also possible to identify the general consensus on what matters in purchaing certain product type such as a laptop if many reviews about many instances of a particular product type is analyzed. However, it takes a lot of time to manually analyzing the reviews. Thus, we propose to use two natural language processing oriented computational techniques to analyze a large number of reviews. The techniques are text classification and information extraction. We developed an review analysis system and conducted experiments against the reviews about the laptop computers posted on the Naver information portal.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.1
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• pp.97-119
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• 2017

This research investigated user satisfaction and importance of OPAC2.0 services in university libraries for book search result. This research analyzed OPAC2.0 services in university libraries focusing on book search result, user satisfaction with and importance in services, difference in satisfaction and importance, and grade and satisfaction. As a result of the investigation and analysis, OPAC2.0 services given the most was the service of 'portal site linkage'. Generally, the satisfaction with OPAC2.0 services was 2.07 in average, 'very dissatisfactory'. The service considered to be the most important was 'service item'. The difference between satisfaction and importance showed dissatisfactory result, compared with importance in general. The grade and the general difference in satisfaction didn't appear. On the basis of the analysis result mentioned above, with the purpose of the improvement in OPAC2.0 services focusing on book search result, it is necessary to manage users continuously by publicizing libraries concerning respective services, introducing use guide, offering a variety of services, improving quality, and offering information.

• Journal of Korean Library and Information Science Society
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• v.49 no.1
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• pp.47-75
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• 2018

The objective of this study is to investigate the current usage and Satisfaction Levels of modern literature services provided by the National Library of Korea, and explore the strategies to promote the use of the modern literature service. The result show that the usage rate of users for the modern literature service is very low, and the Satisfaction Level of the experienced users are found to be normal. Therefore, in order to increase the utilization rate and the Satisfaction Level, first, it is required for active promotion of current modern literature services. Second, the public relations of exhibitions and viewing information are provided direct access to users of the modern literary materials, so various types of exhibitions and events are necessary. Third, although respondents said that library homepage, portal site, and SNS are effective public relations methods, in the case of less-educated and seniors, they prefer public relations through offline media. Therefore, deeper theoretical considerations are necessary in order to select affordable public relations media.

• Journal of the Korean Society for information Management
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• v.30 no.2
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• pp.297-315
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• 2013

This study aims to analyze and evaluate term suggestion services of major search portals, Naver and Google Korea. In particular, this study evaluated relevance and currency of related search terms provided, and analyzed characteristics such as number and distribution of terms, and queries that did not produce terms. This study also analyzed types of terms in terms of the relationship between queries and terms, and investigated types and characteristics of harmful terms and terms with grammatical errors. Finally, Korean queries and English queries, and popular queries and academic queries were compared in terms of the amount and relevance of search terms provided. The results of this study show that the relevance and currency of Naver's related search terms are somewhat higher than those of Google. Both Naver and Google tend to add terms to or delete terms from original queries, and provide identical search terms or synonym terms rather than providing entirely new search terms. The results of this study can be implemented to the portal's effective development of term suggestion services.

• Journal of the Korean Society for information Management
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• v.31 no.3
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• pp.181-200
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• 2014

This study aims to analyze and evaluate video search services of major search portals, Naver and Google Korea. In particular, this study analyzed characteristics such as collection distribution, yearly distribution, the ratio of redundant search results, the ratio of advertising, and the quality of videos. This study also evaluated relevance, credibility, and currency of video search results, and investigated the factors that influence relevance and credibility. Finally, types and characteristics of error results were analyzed. The results of this study show that the relevance of Google's video search results is higher than those of Naver, whereas currency of Naver's search results is somewhat higher than those of Google. Google has more high resolution videos than Naver, and Naver has more advertising than Google. Both Google and Naver return many redundant videos in the search results. The results of this study can be implemented to the portal's effective development of video search services.

• Journal of Intelligence and Information Systems
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• v.12 no.3
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• pp.95-110
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• 2006

To enhance the rule-based reasoning capability of Semantic Web, the XRML (eXtensible Rule Markup Language) approach embraces the meta-information necessary for the extraction of explicit rules from Web pages and its maintenance. To effectuate the automatic identification of rules from unstructured texts, this research develops a framework of using rule ontology. The ontology can be acquired from a similar site first, and then can be used for multiple sites in the same domain. The procedure of ontology-based rule identification is regarded as a graph search problem with incomplete nodes, and an A* algorithm is devised to solve the problem. The procedure is demonstrated with the domain of shipping rates and return policy comparison portal, which needs rule based reasoning capability to answer the customer's inquiries. An example ontology is created from Amazon.com, and is applied to the many online retailers in the same domain. The experimental result shows a high performance of this approach.