• Journal of Korean Library and Information Science Society
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• v.48 no.4
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• pp.107-127
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• 2017

This study is to suggest the considerations in constructing BIBFRAME by analyzing change feature of BIBFRAME 2.0 under recognizing the needs of the detailed methods for BIBFRAME construction in Korea through literature review as research methods. First, it is to add or to describe expression level as the core entity in BIBFRAME 2.0. Second, it is to extend classes and properties as BIBFRAME vocabulary to reflect the RDA elements by testing the various materials. Third, preferred title and preferred name is to be described in BIBFRAME and Korean Cataloging Rules related to authorized access point is to be regulated. This study could contribute to develop BIBFRAME development and revision under revising BIBFRAME vocabularies ongoing.

• The Journal of the Korea Contents Association
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• v.4 no.4
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• pp.89-97
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• 2004

Web-Mail Services are implemented with SMTP and POP3 in these days. These web mail services provide not only the basic sending and receiving functions but also additional functions for user. However, the sent and received data are stored in the web mail server. So general web mail users can't process their mail data if they have not access ID for the web mail server. In this paper, we design and implement WMIS (Web Mail Integration System) using XML. In the proposed system, mail data and user's environments in the old web mail system are transformed into XML documents and inserted into database. In order to store XML data into database, we use dynamic document processing method and analyze XML file by record unit. When the users change their mail accounts, they easily can establish the web environments and their mail data. Because the transformed XML document is converted into WML easily, the WMIS can reduce development cost, labors and time.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.455-464
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• 2009

To overcome article-oriented search functions and provide author-oriented ones, a namesake problem for author names should be solved. Author disambiguation, proposed as its solution, assigns identifiers of real individuals to author name entities. Although recent state-of-the-art approaches to author disambiguation have reported above 90% performance, there are few academic information services which adopt author-resolving functions. This paper describes a large-scale test set for author disambiguation which was created by KISTI to foster author resolution researches. The result of these researches can be applied to academic information systems and make better service. The test set was constructed from DBLP data through web searches and manual inspection, Currently it consists of 881 author names, 41,673 author name entities, and 6,921 person identifiers.

• Journal of Korean Society of Archives and Records Management
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• v.12 no.3
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• pp.117-136
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• 2012

The study aims at understanding records professions' job areas and conducting the Importance Performance Analysis. Under the perception which it is necessary to analyze records professions' job for securing their roles and identity, this study conducts a job analysis and categorizes records professions' job into 4 duties, 19 jobs and 78 job elements. The 4 duties includes records management, records office operation, records management infrastructure, and records information services. Furthermore, it researches jobs' importance and performance using the IPA. Accordign to the analysis, the jobs which rank at top of the importance and performance list are jobs concerning appraisal and disposal. The jobs which ranks at bottom are jobs related to services. In general the current 'one man records office system' is not appropriate to carry out all the records management business. In this context, it is necessary to lighten records profeesions' workload through the job adjustment in government institutions.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.5
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• pp.70-75
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• 2014

Super-resolution near-field structure (super-RENS) read-out samples are affected by a nonlinear and noncausal channel, which results in inter-symbol interference (ISI). In this study, we investigate asymmetry or domain bloom in super-RENS in terms of equalization. Domain bloom is caused by writing process in optical recording. We assume in this work that the asymmetry symbol conversion scheme is to generate asymmetric symbols, and then a linear finite impulse response filter can model the read-out channel. For equalizing this overall nonlinear channel, the read-out signals are deconvolved with the finite impulse response filter and its output is decided based on the decision rule table that is developed from the asymmetry symbol conversion scheme. The proposed equalizer is investigated with the simulations and the real super-RENS samples in terms of raw bit error rate.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.16 no.1
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• pp.203-231
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• 2005

The critical strength of outsourcing system is to enhance the competitive power of the company by applying the centralization of management resources. This strategy has been used in library management and become the general method. The libraries in the U.S. stated to adopt the outsourcing system to organize the information of library works. Those in Korea also commence to use this method later on. The main reason of outsourcing the cataloging and classification works in the library was to reduce the budget; however, result were diverse. The efficiency on performing works was positive while the quality of bibliographic record was not guaranteed. Regardless of various opinions, The National Library of Korea decided to apply the method to cataloging and classification considered as a major work in maintaining library. This study is to analyze and criticize the decision made by The National Library of Korea.

• Journal of the Korea Society of Computer and Information
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• v.19 no.12
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• pp.101-109
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• 2014

Medical technology development and increase the income level of a "Long and healthy Life=Wellness," with the growing interest in actively promoting and maintaining health and wellness has become enlarged. In addition, the demand for personalized health care services is growing and extensive medical moves of big data, disease prevention, too. In this paper, the main interest in the market, highlighting wellness in order to support big data-driven healthcare quality through patient-centered medical services purposes. Patients with drug dependence treatment is not to diet but to improve disease prevention and treatment based on analysis of big data. Analysing your Tweets-daily information and wellness disease prevention and treatment, based on the purpose of the dictionary. Efficient big data analysis for node while increasing processing time experiment. Test result case of total access time efficient 26% of one node to three nodes and case of data storage is 63%, case of data aggregate is 18% efficient of one node to three nodes.

• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.23-29
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• 2020

These days, digital forensic technologies are being used frequently at crime scenes. There are various electronic devices at the scene of the crime, and digital forensic results of these devices are used as important evidence. In particular, the user's action and the time when the action took place are critical. But there are many limitations for use in real forensics analyses because of the short cycle in which user actions are recorded. This paper proposed an efficient method for recovering deleted user behavior records and applying them to forensics investigations, then the proposed method is compared with previous methods. Although there are difference in recovery result depending on the storage, the results have been identified that the amount of user history data is increased from a minimum of 6% to a maximum of 539% when recovered user behavior was utilized to forensics investigation.

• Journal of the Korean Society for Library and Information Science
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• v.36 no.4
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• pp.101-122
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• 2002

The purpose of this study is to identify several factors necessary to the curriculum development of the archives and records management in Korea by analyzing archival programs of to Schools of Library and Information Science(SLIS) in the U.S.A. Name of the schools, programs and their degrees, credits, required and elective courses, practice, research, facilities, and SAA guidelines of graduate archival programs are compared by analyzing websites and the literature review. There are a few LIS schools that concentrate archival education and most of the archival programs don't cover all of the core archival knowledge suggested in the LIS schools. In conclusion, the core curriculum of archival science should include history and preservation of archives, archives and records management, information technology, management principles, practicum, and research/ thesis. And a lot of cooperated research and conversation between educational institutions and practical fields are required.

• Journal of the Korea Computer Industry Society
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• v.5 no.2
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• pp.325-330
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• 2004

The Big O notation of a sorting algorithm analysis is an asymptotic algorithm analysis which gives information of a rough mathematical function with an infinite increase of a sample size, without any specification of a probabilistic model. Hence. in an application with a limited finite number of data, it is necessary to test efficiencies of sorting algorithms. I estimated probabilistic models which analyze the number of exchanges varying input sizes to sort. The estimated models to explain the relationship of sorting efficiency on the sample size (N of the sample size and S of the number of exchange of elements) are S=0.9305 $N^{1.339}$ for Quick sort algorithm with O(nlogn) time complexity, and S=0.2232 $N^{2.0130}$ for Insertion sort algorithm with O( $n^2$) time complexity. Furthermore, there are strongly supports that more than 99% of the above relationship could be explained by the estimated models (p＜0.001). These findings suggest it is necessary to analyze sorting algorithm efficiency in applications with a finite number of data or a newly developed sorting algorithm.