• Journal of the Korea Society of Computer and Information
• /
• v.26 no.11
• /
• pp.139-147
• /
• 2021

BIBFRAME, which is attracting attention as an alternative to the machine-readable catalog format (MARC) in the library world, presents a new bibliographic data model in the open web environment while maintaining compatibility with existing data. To convert KORMARC(Korean data model of MARC) records into BIBFRAME, we extract 25 key fields by analyzing the latest 5,000 bibliographic data from Nowon-gu Library in Seoul. The extracted core fields are classified into three types according to the compatibility of MARC 21, and define conversion rules for each type. In addition, implement an open source-based converter to perform KORMARC to BIBFRAME conversion. As a basic study on KORMARC to BIBFRAME conversion, this study is meaningful in that it analyzes the latest KORMARC information actually used, defines conversion rules, and attempts BIBFRAME conversion.

• Journal of Korean Library and Information Science Society
• /
• v.49 no.4
• /
• pp.93-117
• /
• 2018

KORMARC format for holdings data is a standard for expressing and exchanging holdings information-who they have, what copies are owned, where they are held, etc. As the need of resource sharing grows, such holdings information that informs the user to the availability and the location of a bibliographic item is becoming increasingly important. However the KORMARC format for holdings data has been used much less than KORMARC for bibliographic and authority data, and has attracted little attention from Korean libraries. Under these circumstances, this study intends (1) to analyze various standards for holdings information including MARC21 format for Holdings data (update No.26) and its applications, (2) to investigate the types of holdings data and description regulations used in Korean libraries and bibliographic utilities, and (3) to suggest the revision of existing KORMARC format for holdings data.

• The Korean Journal of Archival Studies
• /
• no.30
• /
• pp.57-88
• /
• 2011

Oral history is the work to make the record of the verbal content recreated by the memories of the survivors. Oral history recording is accomplished through the collaboration of the interviewee, the interviewer, the cameraman, the recorder, the transcriber and etc. Therefore, it is important for the context at the time of the production to be expressed. So planning for the collection of oral records, the collection of oral records, and their preservation and maintenance should be managed systematically. This study, being started from this sense of problem, designed conceptual model of metadata to well reflect the contextual characteristics of the oral records of the women life of among the oral records and extracted the elements through this. The whole process of records management including from planning, production, preservation, management, and leading to use, related to the oral records of the women life, was classified into a hierarchy. It also proposed the system which can express the characteristics of the 'gender' through authority records and subject thesaurus.

• Journal of Internet Computing and Services
• /
• v.20 no.5
• /
• pp.9-18
• /
• 2019

Android Application Package (APK) is vulnerable to repackaging attacks. Therefore, obfuscation technology was applied inside the Android APK file to cope with repackaging attack. However, as more advanced reverse engineering techniques continue to be developed, fake Android APK files to be released. A new approach is needed to solve this problem. A blockchain is a continuously growing list of records, called blocks, which are linked and secured using cryptography. Each block typically contains a cryptographic hash of theprevious block, a timestamp and transaction data. Once recorded, the data inany given block cannot be altered retroactively without the alteration of all subsequent blocks. Therefore, it is possible to check whether or not theAndroid Mobile APK is forged by applying the blockchain technology. In this paper, we construct a discrimination DApp (Decentralized Application) against forgery Android Mobile APK by recording and maintaining the legitimate APK in the consortium blockchain framework like Hyperledger Fabric by Composer. With proposed DApp, we can prevent the forgery and modification of the appfrom being installed on the user's Smartphone, and normal and legitimate apps will be widely used.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.32 no.1
• /
• pp.133-150
• /
• 2021

The purpose of this study is to identify the applicability of machine learning targeting titles in the classification of books in public libraries. Data analysis was performed using Python's scikit-learn library through the Jupiter notebook of the Anaconda platform. KoNLPy analyzer and Okt class were used for Hangul morpheme analysis. The units of analysis were 2,000 title fields and KDC classification class numbers (300 and 600) extracted from the KORMARC records of public libraries. As a result of analyzing the data using six machine learning models, it showed a possibility of applying machine learning to book classification. Among the models used, the neural network model has the highest accuracy of title classification. The study suggested the need for improving the accuracy of title classification, the need for research on book titles, tokenization of titles, and stop words.

• Journal of the Korean Society for information Management
• /
• v.38 no.1
• /
• pp.263-291
• /
• 2021

This study aims to develop a records management system for catholic churches that use open-source software to ensure systemic management and preservation of sacrament records, which accounts for the highest percentage among all records produced by catholic churches and holds great significance for them. To that end, the researcher analyzed catholic church regulations and reference materials, as well as the websites of open-source software. The researcher also interviewed members at the G Cathedral of the Catholic Archdiocese of Daegu, to examine the current status of records management at catholic churches. Based on the investigation, the researcher designed four layers of metadata and authority data that reflected the characteristics of the sacramental records. Then the design was experimentally implemented using AtoM, an open-source records management system.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.1
• /
• pp.30-40
• /
• 2022

Electrocardiogram (ECG) signal's shape and characteristic varies through each individual, so it is difficult to classify with one neural network. It is difficult to classify the given data directly, but if corresponding normal beat is given, it is relatively easy and accurate to classify the beat by comparing two beats. In this study, we classify the ECG signal by generating the reference normal beat through the template cluster, and combining with the input ECG signal. It is possible to detect abnormal beats of various individual's records with one neural network by learning and classifying with the imaged ECG beats which are combined with corresponding reference normal beat. Especially, various neural networks, such as GoogLeNet, ResNet, and DarkNet, showed excellent performance when using the comparative learning. Also, we can confirmed that GoogLeNet has 99.72% sensitivity, which is the highest performance of the three neural networks.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.22 no.5
• /
• pp.75-86
• /
• 2022

This study aims to solve the problem of class imbalance in numerical data by using a deep learning-based Variational AutoEncoder and to improve the performance of the learning model by augmenting the learning data. We propose 'D-VAE' to artificially increase the number of records for a given table data. The main features of the proposed technique go through discretization and feature selection in the preprocessing process to optimize the data. In the discretization process, K-means are applied and grouped, and then converted into one-hot vectors by one-hot encoding technique. Subsequently, for memory efficiency, sample data are generated with Variational AutoEncoder using only features that help predict with RFECV among feature selection techniques. To verify the performance of the proposed model, we demonstrate its validity by conducting experiments by data augmentation ratio.

• Journal of Korean Society of Archives and Records Management
• /
• v.21 no.4
• /
• pp.81-99
• /
• 2021

Job and organization analysis of producing institutes is a task that identifies the history of transition and major business functions for various record-producing institutions and must be performed in common within the archives, and many workers must jointly refer to the relevant knowledge. However, in the field, a limited number of people in charge are individually performing by manual work, and the results are not shared. Therefore, this study aims to reduce the work burden of workers through the automation of the job and organization analysis process and build basic resources that can be commonly used by the archives. This study subdivided the task of job and organization analysis into manual, semi-automation, and automation parts by performing FGI with the practitioner of the archive and suggested ways to realize it. In addition, we derive the basic analysis data that can be commonly referenced in the electronic records management process, and by verifying the results through practitioners, efficient use of knowledge resources is suggested. Furthermore, by establishing a standardized work process, we intend to lay the foundation to support consistent and systematic work performance.

• Journal of the Korean Society for Library and Information Science
• /
• v.57 no.1
• /
• pp.457-483
• /
• 2023

As ISNI spreads, the process and utilization method of authority control that identifies and links individual or group names is also expanding. In this study, the characteristics of the connection and utilization of ISNI and national authorities in the United States, the United Kingdom, France, and Germany were derived, and a plan to improve the connection and utilization of national authorities and ISNI was presented, focusing on the National Library of Korea. Focusing on major countries actively participating in the establishment and utilization of ISNI since its founding, national authorities and ISNI linkage methods and ISNI data used in services were analyzed. The implications of this study for the linkage and convergence of national authority and ISNI data were: first, applying ISNI to support authority work, second, establishing a close cooperation system with the publishing community, and third, establishing infrastructure for linking ISNI and authority records at the national level, and finally, providing user service pages based on authority data.