• Journal of Korea Multimedia Society
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• v.23 no.12
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• pp.1531-1539
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• 2020

Searching for portable baggage through the system before boarding an airplane at an airport is important because it prevents many risks. In addition to these dangerous items, personal and confidential information leaks are occurring at airports through data storage devices. In the airport search system, there is a need for a system that searches not only dangerous items but also devices that can leak data. In this paper, we proposed a model that searches for a data storage device by improving the existing model. A comparative evaluation was conducted using existing algorithms. As a result, it was confirmed that the performance of the proposed model is 74 in the training data and 46.73 in the test data, which is superior to the existing model.

• Journal of Families and Better Life
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• v.32 no.2
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• pp.99-116
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• 2014

Domestic PB products have emerged and been distributed by hypermarkets, department stores, convenience stores, as well as TV home shopping channels and Internet shopping malls. However, the fierce competition among the distributors due to the emergence of the PB products have caused the diversion of consumers' recognition to be reduced weight and volume as well as had the effect of misleading consumers about the prices. The width of the PB product price's up and down is larger than the width of the NB product. Thus, following consumers' purchases of PB products, there has been an increasing number of consumer complaints. In order to research consumers' recognition of PB products and to examine how consumers' recognition and information search comparative to PB products affect consumers' dissatisfaction, an online survey targeted consumers with experience purchasing PB products. This study was conducted and analyzed using SPSS 19 Statistics. The findings can be summarized as follows. Even though more consumers who frequently purchased and used the PB products, the more they compared with information search comparative to the NB product and then purchased the PB product. We investigated the result that the relevant variables of consumer complaints have some relative influence in the purchasing of PB products. There will be a higher probability o the group having high recognition about price and safety not making consumer complaints in comparison with the probability of other consumers making complaints after the purchase of a PB product. Therefore, based on the results of this study, companies need to build a system so that they can figure out consumers' needs in order to prevent the occurrence of consumer complaints related to the products of distribution companies' brands. By means of the system, it is also necessary for companies to collect consumer complaints and analyze them by category. Then they eventually should develop a consumer-centered management system which may contribute to quality improvement, product development and the reduction of consumer complaints.

• Journal of the Korean Data and Information Science Society
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• v.19 no.3
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• pp.903-911
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• 2008

Association rule mining searches for interesting relationships among items in a given large database. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. Many data is most quantitative data. There is a need for partitioning techniques to quantitative data. The partitioning process is referred to as binning. We introduce several binning methods ; parameter mean binning, equi-width binning, equi-depth binning, clustering-based binning. So we apply these binning methods to several distribution types of quantitative data and present the best binning method for association rule discovery.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.353-355
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• 2015

SNOMED CT browser is a search browser which searches and browses terminologies include in SNOMED CT. These terminologies shows a structural form using a variety of relationships. However, previous browsers merely lists up substring-matched search results, rather than using structural characteristics. This paper proposes and implements a browser system which shows a sub-graph of search results enabling structural search of the results. The implementation includes searching of terminologies based on substring-matching, tree-based graphical organization of the search results, and history of concept views.

• Proceedings of the CALSEC Conference
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• 2001.08a
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• pp.625-629
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• 2001

A cyber shopping mall is a place where consumers acquire product information, and make purchase decisions in the cyber space. Even though it offers many advantages over traditional malls, there are still several limitations to do shopping in an existing cyber mall. One of these limitations is the absence of an efficient shopping aid to compare multiple items from multiple malls. Existing search systems usually support a keyword search with limited conditions. Consumers spend lots of their time to compare multiple alternatives from search results. In this paper, we propose an intelligent product search system. There are two main features in our system. The first one is a full support of comparison shopping with multiple perspectives based on commercial search engines. The second one is an enhancement to the shopping aid based on a new concept of Shopping AssistanT. Our system is implemented in Visual Basic and PERL, and experimental results show a satisfactory performance.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.2
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• pp.269-288
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• 2024

To structure the KOS registry, it is necessary to select a classification system that suits the characteristics of the collected KOS. This study aimed to classify domestic KOS collected through various classification schems, and based on these results, provide insights for selecting a classification system when structuring the KOS registry. A total of 313 KOS data collected via web searches were categorized using five types of classification systems and a thesaurus, and the results were analyzed. The analysis indicated that for international linkage of the KOS registry, foreign classification systems should be applied, and for optimization with domestic knowledge resources or to cater to domestic researchers, domestic classification systems need to be applied. Additionally, depending on the field-specific characteristics of the KOS, research area KOS should apply classification systems based on academic disciplines, while public sector KOS should consider classification systems based on government functions. Lastly, it is necessary to strengthen the linkage between domestic and international KOS, which also requires the application of multiple classification systems.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.1
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• pp.71-99
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• 2016

This study investigated users' information seeking behaviors associated with their perceptions of uncertainty. For this study, the data was collected from an user group, who conducted information searches in the field of history, using the KERIS Edunet system and it was analyzed through the comparative analysis of the grounded theory. The results presented users' uncertainty in the following stages: the identification of information needs, the selection of an information system, the selection of search terms, the actual use of the system, and the evaluation of search results. Major implications pertain to the enhancement of the Edunet system and related services. The former includes the improvement of the retrieval mechanisms related to the search and display interfaces. The latter emphasizes the consideration of the origin of uncertainty in the process of the services. In other words, the study suggested to consider the inadequacy of the system functions, the insufficiency of search experiences and the lack of such abilities of particular users.

• Journal of the Korean Society for information Management
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• v.16 no.2
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• pp.105-134
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• 1999

For efficient and precise searches in the Web environment, resources should be coded in a structured way. HTML does not cover semantic structure because of its fixed tagging. XML, which has emerged as an alternative standard markuplanguage, uses custom tags that allow structural searching. Therefore, this study aims to compare XML with HTML in terms of their characteristics and retrieval functions. In order to test retrieval functions of XML- and HTML-based systems, we constructed an experimental XML-based system. The XML-based system has several advantages over the HTML system. However, some improvements are needed to make the XML system more comprehensive and effective. First, XML document search engines with user-friendly interfaces are needed. Second, popular Web browsers such as Explorer and Communicator need to support XML 1.0 specification completely. Third, Open DTD format, which will allow information retrieval systems to retrieve documents and compress them into one single format, is also needed to control Web documents more efficiently.

• Asian-Australasian Journal of Animal Sciences
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• v.23 no.11
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• pp.1399-1404
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• 2010

We have created a Bovine Genome Database, an integrated genomic resource for Bos taurus, by merging bovine data from various databases and our own data. We produced 55,213 Korean cattle (Hanwoo) ESTs from cDNA libraries from three tissues. We concentrated on genomic information based on Hanwoo transcripts and provided user-friendly search interfaces within the Bovine Genome Database. The genome browser supported alignment results for the various types of data: Hanwoo EST, consensus sequence, human gene, and predicted bovine genes. The database also provides transcript data information, gene annotation, genomic location, sequence and tissue distribution. Users can also explore bovine disease genes based on comparative mapping of homologous genes and can conduct searches centered on genes within user-selected quantitative trait loci (QTL) regions. The Bovine Genome Database can be accessed at http://bgd.nabc.go.kr.

• Journal of Microbiology
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• v.45 no.6
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• pp.541-546
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• 2007

Red algae are distributed globally, and the group contains several commercially important species. Griffithsia okiensis is one of the most extensively studied red algal species. In this study, we conducted expressed sequence tag (ESTs) analysis and synonymous codon usage analysis using cultured G. okiensis samples. A total of 1,104 cDNA clones were sequenced using a cDNA library made from samples collected from Dolsan Island, on the southern coast of Korea. The clustering analysis of these sequences allowed for the identification of 1,048 unigene clusters consisting of 36 consensus and 1,012 singleton sequences. BLASTX searches generated 532 significant hits (E-value <$10^{-4}$) and via further Gene Ontology analysis, we constructed a functional classification of 434 unigenes. Our codon usage analysis showed that unigene clusters with more than three ESTs had higher GC contents (76.5%) at the third position of the codons than the singletons. Also, the majority of the optimal codons of G. okiensis and Chondrus crispus belonging to Bangiophycidae were G-ending, whereas those of Porphyra yezoensis belonging to Florideophycidae were G-ending. An orthologous gene search for the P. yezoensis EST database resulted in the identification of 39 unigenes commonly expressed in two rhodophytes, which have putative functions for structural proteins, protein degradation, signal transduction, stress response, and physiological processes. Although experiments have been conducted on a limited scale, this study provides a material basis for the development of microarrays useful for gene expression studies, as well as useful information for the comparative genomic analysis of red algae.