• Spatial Information Research
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• v.18 no.5
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• pp.55-61
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• 2010

This study was started for providing the application method of hyperspectral im age over extreme cold area as the Antarctic. Study area was Terra Nova Bay area which was decided as the candidate of 2nd Antarctic base station. For deciding last location of base station, many researchers tried to analyze the suitability of this study area. Among many suitability indicators, the location and stability of extracted bed rock area were very important. Using many spectral information of hyperspectral data, we tried detecting of bed rock and classifying four rock types. As additionally data, international spectral library of rock were used in this study. At the results, short-infrared wavelength bands were useful in the detection and classification of bed rock.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.3
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• pp.135-154
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• 2015

This study was conducted to create a digital archive for local cultural contents compiled from the records of westerners who visited Korea during the Enlightenment Period of Chosun. The compiled information were gathered from 11 records, and 10 main subjects and 120 sub-subjects were derived through the subject classification scheme. Item analysis was conducted through 37 metadata, and input data types were classified and databased in Excel. Finally, a model of the digital archive system was simulated, and a webpage consisting of five menus was presented. Suggestions for future research were extensive aggregation of new data for archive expansion, active connections between archive systems, standardization of systems, and improved system design for compatibility and user-friendliness.

• Journal of Korean Library and Information Science Society
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• v.55 no.3
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• pp.23-42
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• 2024

Korean Decimal Classification (KDC) 6^th edition currently adopts a synthetic number-built methods by using schedule and tables. But this methods faces with limitations in building various subjects because of due to the mono-dimensional structure with the bias of note types, insufficient analytical-synthetic notes, and lack of notes that using tables. This research practically analyzed the structural limitations of the notes in KDC 6^th edition and proposed a multi-dimensional structure to improve the number-building methods. The note types were analyzed using 4 main classes in schedule, and the problems of the current mono-dimensional note structure were identified. Based on the analysis results, the components of notes of the KDC were identified, and a multi-dimensional and hierarchical note structure was proposed. Through this structure, it is expected that KDC can establish a foundation for effectively responding to the evolving knowledge system.

• Korean Journal of Agricultural Science
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• v.38 no.1
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• pp.11-16
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• 2011

In this study, we report the generation and analysis of a total of 1,211 expressed sequence tags (ESTs) from Pinus koraiensis. A cDNA library was generated from the young leaf tissue and a total of 1,211 cDNA were partially sequenced. EST and unigene sequence quality were determined by computational filtering, manual review, and BLAST analyses. In all, 857 ESTs were acquired after the removal of the vector sequence and filtering over a minimum length 50 nucleotides. A total of 411 unigene, consisting of 89 contigs and 322 singletons, was identified after assembling. Also, we identified 77 new microsatellite-containing sequences from the unigenes and classified the structure according to their repeat unit. According to homology search with BLASTX against the NCBI database, 63.1% of ESTs were homologous with known function and 22.2% of ESTs were matched with putative or unknown function. The remaining 14.6% of ESTs showed no significant similarity to any protein sequences found in the public database. Gene ontology (GO) classification showed that the most abundant GO terms were transport, nucleotide binding, plastid, in terms biological process, molecular function and cellular component, respectively. The sequence data will be used to characterize potential roles of new genes in Pinus and provided for the useful tools as a genetic resource.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.35 no.3
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• pp.57-76
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• 2024

JCR's categorization significantly impacts the evaluation of research achievements in the field, particularly in information science and library science (IS & LS). Publishing in prestigious IS & LS journals often leads to lower evaluations due to their lower impact factor rankings. In contrast, publishing in higher-ranked Management Information Systems (MIS) journals classified under the IS & LS category is evaluated more favorably. Accordingly, this study analyzed the intersection of Library and Information Science (LIS) and MIS through an analysis of journal authors. This analysis was based on previous research that identified detailed subject areas of academic journals categorized under the IS & LS category in the JCR. As a result of the analysis, the intersection between the subfields of LIS and MIS was not substantial, and the strength of the connection was weak. Additionally, approximately 55% of universities in Seoul with LIS departments use JCR's journal rankings by subject category to assess research achievements. The findings suggest that JCR's subject category classification may negatively influence researchers' evaluations and potentially distort the academic publishing landscape. In the future, the issues with research achievement evaluation standards will need to be supplemented and improved. The results of this study are expected to serve as valuable fundamental data for policy improvement.

• Journal of Korean Library and Information Science Society
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• v.36 no.4
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• pp.77-98
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• 2005

The purpose of this research is to propose a powerful alternative in designing knowledge portals using Topic Maps(TM). To demonstrate the power of TM In constructing knowledge portals. we designed a TM-based korean folk music(pansori) site, tested It with an existing pansoree site (pansoree.com ) employing diverse query patterns : simple, advanced, associative, and cross referential Queries. The results show that the TM-based site outperforms the pansoree.com in searching time and steps. The TM-based site also provide novice users who do not know pansori domain with easy access to Information that they need.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.78-80
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• 2021

Currently, research on natural language processing (NLP) is rapidly evolving. Natural language processing is a technology that allows computers to analyze the meanings of languages used in everyday life, and is used in various fields such as speech recognition, spelling tests, and text classification. Currently, the most commonly used natural language processing library is NLTK based on English, which has a disadvantage in Korean language processing. Therefore, after introducing KonLPy and Soynlp, the Korean Tokenizing libraries, we will analyze morphology analysis and processing techniques, compare and analyze modules with Soynlp that complement KonLPy's shortcomings, and use them as natural language processing models.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.4
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• pp.31-49
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• 2009

Suggested reading lists in South Korea have been developing in various aspects thanks to the general understanding of importance of reading education and an increases in the number of school libraries and children libraries. A majority of previous researches consider the suggested reading lists as selection tools. However, this paper selects 17 well-known suggested reading lists and indicates their values as important information source. In this process, the research analyses the recent trends in the 17 suggested reading lists in 10 aspects: history, retrieval methods, developing institution, type of reading lists distribution methods, subject specification, participation of librarian, bibliographic information, subject classification and grouping target reader. From analysing these aspects, the paper suggests a need of unified information from authorized and children-information-related institutions.

• Nuclear Engineering and Technology
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• v.43 no.6
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• pp.583-592
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• 2011

The radiological characteristics for waste classification were assessed for neutron-activated decommissioning wastes from a CANDU reactor. The MCNP/ORIGEN2 code system was used for the source term analysis. The neutron flux and activation cross-section library for each structural component generated by MCNP simulation were used in the radionuclide buildup calculation in ORIGEN2. The specific activities of the relevant radionuclides in the activated metal waste were compared with the specified limits of the specific activities listed in the Korean standard and 10 CFR 61. The time-average full-core model of Wolsong Unit 1 was used as the neutron source for activation of in-core and ex-core structural components. The approximated levels of the neutron flux and cross-section, irradiated fuel composition, and a geometry simplification revealing good reliability in a previous study were used in the source term calculation as well. The results revealed the radioactivity, decay heat, hazard index, mass, and solid volume for the activated decommissioning waste to be $1.04{\times}10^{16}$ Bq, $2.09{\times}10^3$ W, $5.31{\times}10^{14}\;m^3$-water, $4.69{\times}10^5$ kg, and $7.38{\times}10^1\;m^3$, respectively. According to both Korean and US standards, the activated waste of the pressure tubes, calandria tubes, reactivity devices, and reactivity device supporters was greater than Class C, which should be disposed of in a deep geological disposal repository, whereas the side structural components were classified as low- and intermediate-level waste, which can be disposed of in a land disposal repository. Finally, this study confirmed that, regardless of the cooling time of the waste, 15% of the decommissioning waste cannot be disposed of in a land disposal repository. It is expected that the source terms and waste classification evaluated through this study can be widely used to establish a decommissioning/disposal strategy and fuel cycle analysis for CANDU reactors.

• Convergence Security Journal
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• v.24 no.3
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• pp.203-208
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• 2024

The identification and classification of victims in the county border area is one of the important issues. The personnel that can appear in the military border area are comprised of North Korean soldiers, U.S. soldiers, South Korean soldiers, and the general public, and are currently being confirmed through CCTV. They were classified into true categories and learned through transfer learning. The PyTorch machine learning library was used, and the dataset was utilized by crawling images corresponding to each item shared on Google. The experimental results show that each item is classified with an accuracy of 98.7500%. Future research will explore ways to distinguish more systematically and specifically by going beyond images and adding video or voice recognition.