• Journal of the Korean Data and Information Science Society
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• v.9 no.1
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• pp.63-70
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• 1998

The singular value decomposition is a tool which is used to find a linear structure of reduced dimension and to give interpretation of the lower dimensional structure about multivariate data. In this paper the singular value decomposition is reviewed from both algebraic and geometric point of view and, is illustrated the way which the tool is used in the multivariate techniques finding a simpler geometric structure for the data.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2015.11a
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• pp.321-323
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• 2015

This study will build a prompt response system based on accurate information about the internal structure of cultural heritages, including the roof structure, to improve the ability to contain and respond to the fire of wooden structure for safe preservation of cultural heritages with historical and academic values that are very vulnerable to fire, and develop a training simulation program based on virtual reality by applying the concept of Edutainment for systemized and interesting training of trainees with a response manual.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.3
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• pp.1614-1632
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• 2017

Bag of visual words is a popular model in human action recognition, but usually suffers from loss of spatial and temporal configuration information of local features, and large quantization error in its feature coding procedure. In this paper, to overcome the two deficiencies, we combine sparse coding with spatio-temporal pyramid for human action recognition, and regard this method as the baseline. More importantly, which is also the focus of this paper, we find that there is a hierarchical structure in feature vector constructed by the baseline method. To exploit the hierarchical structure information for better recognition accuracy, we propose a tree regularized classifier to convey the hierarchical structure information. The main contributions of this paper can be summarized as: first, we introduce a tree regularized classifier to encode the hierarchical structure information in feature vector for human action recognition. Second, we present an optimization algorithm to learn the parameters of the proposed classifier. Third, the performance of the proposed classifier is evaluated on YouTube, Hollywood2, and UCF50 datasets, the experimental results show that the proposed tree regularized classifier obtains better performance than SVM and other popular classifiers, and achieves promising results on the three datasets.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.892-896
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• 2003

XML is used in various fields such as interface format for data swapping between application between several various system passing over thing to mark to web browser simply. Accordingly, a lot of studies about system that can manage effectively and search XML document with formation of information, reusability, disposal and durability, portability are proceeding. In this paper, explain about XQL and document structure processor and language processor of quality and make contents of XML document by tree structure, structure information presents method that find XML document tree structure information that is correct on question using XQL while do parsing. Through this, described for design and embodiment of efficient XML document search system that use XQL that compose structure information of document in tree structure and is proposed in language of quality after do parsing absorbing XML document that is scattered on web.

• The Transactions of the Korea Information Processing Society
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• v.4 no.1
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• pp.76-86
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• 1997

Many information retrieval systems have a simple process structure that a client process for a user is mapped to a server process for information retrieval. That is, when using information retrieval systems, each user is allocated a big process that consists of user interfaces, retrieval automatic indexing systems and storage systems. Therefor when many users use the information retrieval systems, it might be difficult to use the information retrieval systems. This is because the system overhead is increased as enormously much as users cannot use them. In this paper, we propose a new process structure for constructing efficient information retrieval systems that solves the problem resulting from he process structure. The proposed process structure contributes to the whole operational performance improvement of information retrieval systems and the efficientnt use of computer system resources. It is constructed based on a multi-threading scheme and a transaction processing monitor.

• Asia pacific journal of information systems
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• v.5 no.2
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• pp.177-197
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• 1995

In a study involving 52 large organizations in the savings institutions industry, the relationship between information systems technology (IST) structure and competitive strategy was investigated based on structural contingency theory. Structural contingency theory argues that organizational performance is contingent on the congruence between structure and contingent factors. Competitive strategy is considered to be the most important contingent factor among organizational context variables. Two dimensions of IST structure and three types of competitive strategy were employed to test a contingency model. It was found that enhanced congruence between IST structure and competitive strategy was associated with higher competitive advantage. The structural dimension significantly associated with the "defender" strategic stance was more centralized and more integrated application of IST, while the structural dimension significantly associated with "prospector" positioning was more decentralized and less integrated application of IST.

• Journal of Internet Computing and Services
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• v.7 no.5
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• pp.123-134
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• 2006

In this research paper, We have proposed an interpretation structure concerned with context-awareness which is essential to provide intelligent service. The proposed model has an interpretation structure that integrated information of both external and internal context, and been designed to keep independency between context information and application service. To verify the interpretation structure that proposed, we established a test bed (Ubi-Class) in which the concept of context awareness has been introduced to the existing class room, and constituted a scenario, and tested whether intelligent service is performed according to context interpretation.

• Carbon letters
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• v.27
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• pp.12-17
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• 2018

We fabricated a Li-S battery with post-treated carbon nanotube (CNT) films which offered better support for sulfur, and investigated the effect of the surface properties and pore structure of the post-treated CNT films on Li-S battery performance. Post-treatments, i.e., acid treatment, unzip process and cetyltrimethylammonium bromide (CTAB) treatment, effectively modified the surface properties and pore structure of the CNT film. The modified pore structure impacted the ability of the CNT films to accommodate the catholyte, resulting in an increase in initial discharge capacity.

• Journal of KIISE:Databases
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• v.32 no.5
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• pp.509-525
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• 2005

In this paper, we propose the index structure based on a vector approximation for efficiently supporting the similarity search of multi-dimensional data. The proposed index structure splits a region with the space partition method and allocates to the split region dynamic bits according to the distribution of data. Therefore, the index structure splits a region to the unoverlapped regions and can reduce the depth of the tree by storing the much region information of child nodes in a internal node. Our index structure represents the child node more exactly and provide the efficient search by representing the region information of the child node relatively using the region information of the parent node. We show that our proposed index structure is better than the existing index structure in various experiments. Experimental results show that our proposed index structure achieves about $40\%$ performance improvements on search performance over the existing method.

• Journal of the Korean Home Economics Association
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• v.19 no.4
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• pp.73-84
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• 1981

The purpose of this study was to examine the conjugal role structure in the purchasing decision process : problem precognition, information seeking and evaluating, final decision, and actually making the purchase, through a survey of the degree of conjugal involvement. The specific objectives were 1) to examine the conjugal role structure and differences at each phase of the decision process in purchasing of residence and twelve durable household consumer goods, 2) to determine the differences between conjugal role structure in each phase of the purchasing decision process and conjugal demographic factors(number of years married, conjugal education level, conjugal occupation, and income). Questionnaires were given to randomly selected husbands and wives in /seoul I October, 1980. data from the 275 responses were analyzed by percentage, mean, and F-test(analysis of variance). The results are as follows : 1) The conjugal role structure for the purchasing decision process of residence and twelve durable household consumer goods was analyzed by percent. It was found that role structure was specialized by the type of item. for instance, furniture and home appliances were purchased by wives; amusement goods and cars were purchased by husbands' and residence was purchased by joint. However, conjugal role structure in the purchasing decision process differed by phased of process : (1) Wives involvement in the phase of problem recognition was greater than their involvement in information seeking and evaluating, but husbands' involvement a in the phase of information seeking and evaluating was slightly greater than their involvement in problem recognition. (2) Husbands' involvement in the phase of making the final decision was far greater than their involvement I information seeking and evaluating. (3) Wives' involvement in the actually making of the purchase was far greater than their involvement in making the final decision. 2) Only one among conjugal demographic factors was significantly related to conjugal role structure. That, is, conjugal role structure in the purchasing decision process showed that the wives' involvement I making the final decision and in actually making the purchase increased with number of years married.