• Journal of Korean Society of Archives and Records Management
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• v.21 no.1
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• pp.249-255
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• 2021

The Korea Democracy Foundation's archives offer its collection of records about Korean democratization movements through "Open-Archives," allowing users to read and use them conveniently. One particular article aimed to promote an overall understanding of its photo database to offer more promising services through the "Open-Archives." Similarly, many different archives hold photographic records, but they have difficulty releasing them to the public. Therefore, the present study introduced the case of Korea Democracy Foundation's project of building a photo database for Tony Chung in 2019-2020 to improve its establishment process, significance, and future tasks.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.4
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• pp.399-430
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• 2022

The purpose of this study is to identify the problems of the e-book composition provided by the Comprehensive Reading Education Support System and to propose a service improvement plan related to the establishment of e-books in school libraries as educational resources based on practical issues and perceptions experienced by teacher-librarians. As a research method, the composition of the collection of 3,002 e-books supported by the Busan Comprehensive Reading Education Support System as a reading education platform of the school library was analyzed based on the Korean Decimal Classification. Based on this, two focus group interviews (FGI) were conducted with 4 elementary teacher-librarians and 5 secondary teacher-librarians working in Busan. The result of this study can be used as basic data to support students' reading activities using e-books as educational resources and to form an efficient e-book collection in school library.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.117-124
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• 2021

Livestock behavioral analysis is a factor that has a great influence on livestock health management and agricultural productivity increase. However, most digital devices introduced for behavioral analysis of livestock do not provide raw data and also provide limited analysis results. Such a closed system makes it more difficult to integrate data and build big data, which are essential for the introduction of advanced IT technologies. Therefore, it is necessary to supply farm-scale data collection devices that can be easily used at low cost. This study presents a data collection system for analyzing the behavior of livestock. The system consists of a number of miniature computing units that operate wirelessly, and collects livestock body temperature and acceleration data, location information, and livestock environment data. In addition, this study presents an algorithm for estimating the behavior of livestock based on the collected acceleration data. For the experiment, a system was built in a Korean cattle farm in Icheon, Gyeonggi-do, and data were collected for 20 Korean cattle, and based on this, the empirical and analysis results were presented.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.216-221
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• 2022

The 4th industrial revolution is accelerating the transition to digital innovation in various aspects of our daily lives, and efforts for manufacturing innovation are continuing in the manufacturing industry, such as smart factories. The 4th industrial revolution technology in manufacturing can be used based on AI, big data, IoT, cloud, and robots. Through this, it is required to develop a technology to establish a production facility data collection and analysis system that has evolved from the existing automation and to find the cause of defects and minimize the defect rate. In this paper, we implemented a system that collects power, environment, and status data from production facility sites through IoT devices, quantifies them in real-time in a cloud computing environment, and displays them in the form of MQTT-based real-time infographics using widgets. The real-time sensor data transmitted from the IoT device is stored to the cloud server through a Rest API method. In addition, the administrator could remotely monitor the data on the dashboard and analyze it hourly and daily.

• Journal of Microbiology and Biotechnology
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• v.33 no.6
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• pp.753-759
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• 2023

The genus Paenibacillus contains a variety of biologically active compounds that have potential applications in a range of fields, including medicine, agriculture, and livestock, playing an important role in the health and economy of society. Our study focused on the bacterium SS4^T (KCTC 43402^T = GDMCC 1.3498^T), which was characterized using a polyphasic taxonomic approach. This strain was analyzed using antiSMASH, BAGEL4, and PRISM to predict the secondary metabolites. Lassopeptide clusters were found using all three analysis methods, with the possibility of secretion. Additionally, PRISM found three biosynthetic gene clusters (BGC) and predicted the structure of the product. Genome analysis indicated that glucoamylase is present in SS4^T. 16S rRNA sequence analysis showed that strain SS4^T most closely resembled Paenibacillus marchantiophytorum DSM 29850^T (98.22%), Paenibacillus nebraskensis JJ-59^T (98.19%), and Paenibacillus aceris KCTC 13870^T (98.08%). Analysis of the 16S rRNA gene sequences and Type Strain Genome Server (TYGS) analysis revealed that SS4^T belongs to the genus Paenibacillus based on the results of the phylogenetic analysis. As a result of the matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF/MS) results, SS4^T was determined to belong to the genus Paenibacillus. Comparing P. marchantiophytorum DSM 29850^T with average nucleotide identity (ANI 78.97%) and digital DNA-DNA hybridization (dDDH 23%) revealed values that were all less than the threshold for bacterial species differentiation. The results of this study suggest that strain SS4^T can be classified as a Paenibacillus andongensis species and is a novel member of the genus Paenibacillus.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.4
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• pp.159-172
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• 2009

This paper strives to shed a light on current academic resource sharing initiatives, and seeks the measure for the cooperative information resource management. It first attempts to draw outcomes and suggestions on the basis of issues and implications identified through the analyses in the aspects of management, service, and infrastructure of academic resource sharing in other countries. For this job, research methods such as interviews and on/offline literature review are employed. Specific projects to be analyzed via literature and web site review, although not detailed in nature, are National Technical Information Service(NTIS) and The National Science Digital Library(NSDL) in the United States, Intute of United Kingdom, and Australian Research Repositories Online to the World(ARROW) of Australia. Next, the paper discusses such an issue as the orientation of national level academic resource sharing initiatives based on the comparison of characteristics of current academic resource sharing project. For this, a thorough comparison on background, outlines and characteristics of the projects and analysis on the specifics of each project were conducted as well.

• The Korean Journal of Archival Studies
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• no.29
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• pp.35-78
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• 2011

This study is intended to recommend for acquisition methods of the theatre collection. Theatre activities is representative of the performing arts, and the Korea theatre history start from the modern history of Korea. In the meantime, theatre collections has already been lost by a lack of effort and management, and scattered most of the collections. In particular, a one-off nature and volatility of theatrical performances make future generations to enjoy the performances and to study should consult the relevant records. Therefore, collecting records can be very serious mission. In this study, theatre collections of the country which aims to collect and analyze the characteristics and type of theatre collections. Based on this information, collection scope, targets, priorities, acquisition level, method of collecting are proposed the following. First, collection scope is defined for the theatre related collections which was performed nationwide in the 1900s, the times that modern theatre was begun. The object includes related information of planning, administration, drama (script), directing, stage design, public relations, production, evaluation, personal records, biographical data, group data and space data. Second, the theatre collections are divided into records and historical records. Priority of collections object is determined by the historical value and the theatre performed by the support of public organization. Third, the acquisition level is divided into archived, mirrored, web linked and database, which is proposed by the determined levels of mandatory, recommend and discretion according to the characteristic of performance. Fourth, acquisition methods are suggested by the general acquisition methods of transfer, donation and purchase as well as the methods of copy, production, legal deposit, entry and web link etc. The acquisition of theatre collections is executed on digital-based environment, and a centralized authority control should be establishmented. And through the development of network with theatre's stakeholders and the cooperation of related organizations, theatre collections acquisition is feasible.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.506-509
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• 2017

Opinion mining is a way to analyze the emotions in the text and is used to identify the emotional state of the author and to find out the opinions of the public. As you can analyze individual emotions through opinion mining, if you analyze the text by region, you can find out the emotional state you have in each region. The regional sentiment analysis can obtain information that could not be obtained from personal sentiment analysis, and if a certain area has emotions, it can understand the cause. For regional sentiment analysis, we need text data created by region, so we need to collect data through Twitter crawling. Therefore, this paper designs a Twitter data collection system for regional sentiment analysis. The client requests the tweet data of the specific region and time, and the server collects and transmits the requested tweet data from the client. Through the latitude and longitude values of the region, it collects the tweet data of the area, and it can manage the text by region and time through collected data. We expect efficient data collection and management for emotional analysis through the design of this system.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.486-489
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• 2002

Construction management has been a target of the result and the index which were decided by whether the resourecs(time, cost and progress...etc) were used. but this has been serious problems in time and cost because of the shortage of storage space, the incident, lowering of efficiency for works, working impossible of between work categories and the demage of finished products. Therefore I noticed that more correct and more objective establish of data collecting system was necessary. it was through the diversification of information for exchange and communication between the construction site and participants. DVR(Digital Video Recorder) and internet technology were suggested for a solution to this problem. the collected information by DVR was divided to 3 steps as how long it used and how much it processed for improving efficiency of using and storage of information. and then it was verified through applying to cases at construction site.

• Journal of Korean Society of Archives and Records Management
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• v.2 no.1
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• pp.119-131
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• 2002

The study designs and implements a KORMARC/EAD integrated system for the Myongji Digital Library Collections. The purpose of this paper is to design the metadata to Myongji Korean History Collections to provide digital information of high quality to clients, and to develop and implement a model for managing digital library collections. In order to test the model and the quality of the derived metadata, we built a metadata management system, which is connected to the existing KORMARC system. The system consists of two modules- a retrieval and an input module. While in the retrieve mode, one can retrieve KORMARC records of books and archival items, with links to modified EAD files for archival items or to image files for books, in the input mode, one can type two types of data such as a catalog data and an inventory data. Finally, we evaluated the proposed system via mail questionnaires, and propose three suggestions to make this system a much more comprehensive and effective system.