• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.3
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• pp.1-7
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• 2007

RFID ( Radio Frequency IDentification ) is an automatic realization technology that recognizes things or a person with data stored tag, card, label, etc that have microchip by using radio frequency. Automation and efficient data base management(DBM) of system are possible by replaces using Bar-code that is used widely with using RFID. In this paper, we designed RFID tag data format that used to recognize information of books in Library and implemented library management system. Library management system is divided checking collection of books, self-loaning books system, self-returning books system, management books information system for a librarian. RFID leader realized information of tag and transfer it to host computer through RS-232 interface. Host computer processes and operates information with middleware. System that we made is depending on executive system for a librarian.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.27-34
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• 2018

This study was conducted to identify the contents of major consulting needs of SMEs using Big Data and to suggest the efficiency of operation. The subjects of the study were counseling cases posted on the website of the Business Support Center of the Ministry of SMEs and Startups. To do this, from 2009 to March 2018, we crawled about 7,000 cases of counseling cases, followed by word cloud analysis centering on effective keyword. The main results were as follows: First, the frequency of counseling cases in each field was found in the order of establishment, management strategy, human resources, financial order. Second, in word cloud analysis, the most frequent keyword related to counseling demand were small businesses, exports, methods, procedures, registration and authentication. In this study, we obtained research results that we can improve the efficiency of the policy in real time from a new point of view by conducting big data analysis on public policy.

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

• KIPS Transactions on Software and Data Engineering
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• v.12 no.6
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• pp.259-266
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• 2023

It is very difficult to measure the performance of the machine learning model in the business service stage. Therefore, managing the performance of the model through the operational department is not done effectively. Academically, various studies have been conducted on the concept drift detection method to determine whether the model status is appropriate. The operational department wants to know quantitatively the performance of the operating model, but concept drift can only detect the state of the model in relation to the data, it cannot estimate the quantitative performance of the model. In this study, we propose a performance prediction model (PPM) that quantitatively estimates precision through the statistics of concept drift. The proposed model induces artificial drift in the sampling data extracted from the training data, measures the precision of the sampling data, creates a dataset of drift and precision, and learns it. Then, the difference between the actual precision and the predicted precision is compared through the test data to correct the error of the performance prediction model. The proposed PPM was applied to two models, a loan underwriting model and a credit card fraud detection model that can be used in real business. It was confirmed that the precision was effectively predicted.

• Journal of the Korean Society for information Management
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• v.31 no.1
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• pp.277-297
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• 2014

This study examined whether there is any difference in the public library patrons' library uses depending on their participation in the educational and cultural programs of such libraries. Additional analysis was conducted to determine if the particular educational and cultural program participants' showed any consistent library use patterns. The statistical analysis of such program offerings and the patron survey data resulted in the findings such as that there were statistically significant differences in how the patrons' used the libraries, the number of library resources borrowed, and the frequency of library websites and/or mobile applications used based on their participation in the educational and cultural programs and also the types of programs that they attended.

• Journal of Korean Library and Information Science Society
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• v.41 no.1
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• pp.319-341
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• 2010

This paper investigates the impact of the School Library Revitalization Project of the Daegu Metropolitan City. The Project started in 2003, and by 2009 it revitalized 374 school libraries or 86% of all school libraries in Daegu. Utilizing statistical analysis and questionnaires, this research is divided into two parts. Part 1 analyzes the progress of annual budgets, facilities, collection, personnel, and the circulation data of the libraries. The other part surveys the following: the effects and the satisfaction level of the Project; the teacher's perception of the library's functions; the qualification of the libraries' personnel; the initiatives for developing the library, policy and future plans of the Daegu Metropolitan Office of Education for the libraries. Three groups participated in the survey: principals, class teachers, and teacher librarians.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.311-316
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• 2004

According to subcontracting company's capital circumstanre change for the worse by price regionalism and long bill supply and demand, bill principal parts settlement means were introduced. But, performance disgrace is inactive except some corporation. The purpose of this study is presenting loss and gain datum point that is standard of economical price disbursement means at construction subcontracting construction price settlement connection corporation purchaser gold Beaning means application and supply basis data. economical gains by high cash specific gravity

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.2
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• pp.269-287
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• 2015

The purpose of this study is discussing the applicability of a logic model as a mean measuring library outcomes. For a case study, this paper suggested a full framework for Reading Academy, a reading program for children and adolescents. Among the outcomes composing of the framework, medium-term outcomes were analyzed by manipulating the data the library have in its database. The findings say what the output evaluation could not show. In terms of book circulation, this program positively influenced to 52 percent of participants. Additionally, some participants joined reading book clubs after the program and some were likely to read books in various topics. This program, however, didn't make a positive impact on its re-attendance and other cultural programs' attendance. These findings indicate that the logic model contributes in the field of library outcomes and values.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.190-192
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• 2003

소비자의 신용 대출 규모가 점차 증가하면서 기업에서 고객의 신용 등급에 의한 정확한 고객 분류를 필요로 하고 있다 이를 위해 판별 분석과 신경망의 역전파(BP: Back Propagation)를 이용한 고객 분류 시스템이 연구되었다. 그러나, 판별 분석을 사용한 방법은 불규칙한 신용 거래의 성향을 보이는 비정규 분포의 고객 데이터의 영향으로 여러 개의 판별 함수와 판별점이 존재하여 분류 정확도가 떨어지는 단점이 있다. 신경망을 이용한 방법은 불규칙한 신용 거래의 성향을 보이는 고객 데이터에 의해서, 지역 최소점(Local Minima)에 빠져 최대의 분류 정확률을 보이는 분류자를 얻지 못하는 경우가 발생할 수 있다. 본 논문에서는 이러한 기존 연구의 분류 정확률을 저하시키는 단점을 해결하기 위해 SVM(Support Vector Machine)을 사용하여 고객의 신용 등급을 분류하는 방법을 제안한다. SVM은 SV(Support Vector)의 수에 의해서 학습 성능이 좌우되므로, 불규칙한 거래 성향을 보이는 고객에 대해서도 높은 차원으로의 매핑을 통하여, 효과적으로 학습시킬 수 있어 분류의 정확도를 높일 수 있다 하지만, SVM은 근사화 알고리즘(Approximation Algorithms)을 이용하므로 분류 정확도가 이론적인 성능에 미치지 못한다. 따라서, 본 논문은 점진적 앙상블 SVM을 사용하여, 기존의 고객 분류 시스템의 문제점을 해결하고 실제적으로 SVM의 분류 정확률을 높인다. 실험 결과는 점진적 앙상블 SVM을 이용한 방법의 정확성이 기존의 방법보다 높다는 것을 보여준다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.185-190
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• 2024

In 2022, we can see the real estate market in Korea going down. Corona 19 and the Russian invasion of Ukraine are cited as the biggest causes for this. These two problems ignited the economic recession, causing prices to fall and subsequently raising exchange rates and interest rates. Due to the aforementioned problems in the previously active real estate market, the number of actual transactions has decreased, resulting in a decline in the real estate market due to high interest rates. Data provided by the public data portal, KOSIS, and the Seoul Metropolitan Government were collected through Logstash, transferred to Elasticsearch, and visualized inflation, exchange rates, and loan interest rates using the dashboard function provided by Kibana, to analyze causes and derive results. In addition, three specific apartments in Nowon-gu and Jongno-gu, which have the highest number of actual transactions in Seoul, are selected and the actual transaction prices that change every month are displayed in the Data Table.