• Title/Summary/Keyword: 정보자료의 수집

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Researcher's Behavior of Gathering Cited References in field of Library and Information Science (문헌정보학 분야 연구자들의 인용문헌수집행태에 관한 연구)

  • 신동민
    • Journal of the Korean Society for information Management
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    • v.13 no.1
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    • pp.83-101
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    • 1996
  • The purpose of this study was to analyse the gathering channel of cited references and the behavior of researchers in the field of library and information science. The survey by questionnaire was used to collect data for the study and the SPSS program was used for the statistical analysis such as correlation analysis and trend analysis by descriptive statistics. The main results of this study are so follows : - The hypothesis suggested for the study was proved to be true. - There was no statistically significant correlation between the research experience or the number of published papers and gathering channel of cited references. - Most of the researchers responded favorably to the exchange of informations among researchers includingsource materials and details of ongoing researches.

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Data Exchange System Based on Learned MAPE-K for a Secure Defense Big Data Framework (안전한 국방 빅데이터 프레임워크를 위한 Learned MAPE-K 기반 자료교환 시스템)

  • Cho, Jun-Ha;Yu, Jin-Yong;Kim, Young-Gab
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.173-175
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    • 2022
  • 국방 각급 부대는 망연계 자료교환 시스템에 의해 인터넷과 국방망을 연계하여 데이터를 수집하고 있다. 또한, 안전한 국방 데이터수집과 빅데이터 환경조성을 위해 악성코드를 내재한 데이터들을 차단 및 분류하는 데이터 검열을 수행한다. 그러나 수집되는 데이터들이 새로운 악성코드를 내재할 경우, 현재 운용되고 있는 국방 시스템으로 식별하는 것이 불가능하여 외부로부터의 보안위협이 존재한다. 따라서 본 논문에서는 새로운 악성코드 위협에도 대응할 수 있는 Learned MAPE-K 기반 자료교환 시스템을 제안한다.

A Study on the Direction for Foreign Materials Development of National Library of Korea (국립중앙도서관 외국자료 개발 방향성 연구)

  • Bae, Kyung-Jae;Kim, Sin-Young
    • Journal of Korean Library and Information Science Society
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    • v.52 no.2
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    • pp.167-188
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    • 2021
  • National libraries have a responsibility to intensively develop, preserve, and provide national collections, which are the knowledge and cultural heritage of a country. In particular, in order to achieve 'advancing the base for access and preservation of national knowledge resources' among the four goals to fulfill the mission of the National Library of Korea, it is necessary to strengthen the national knowledge resources by expanding the external scope to not only domestic materials but also foreign materials. In other words, The National Knowledge Information Center collects the latest and retroactive data produced in Korea, as well as high-quality academic materials produced, distributed, and preserved in foreign countries as well as materials related to Korea. This study drew implications by investigating and analyzing the status of foreign collection and services of national libraries in developed countries. Based on this, the purpose of this study is to compare and evaluate the current level of collection of foreign collections of the National Library of Korea, and then present a strategy to secure high-quality academic and foreign materials related to Korea.

Estimation of Predictive Travel Times Using Ubiquitous Traffic Environment under Incident Conditions (유비쿼터스 환경에서 돌발상황 발생 시 예측적 통행시간 추정기법)

  • Park, Joon-Hyeong;Hong, Seung-Pyo;Oh, Cheol;Kim, Tae-Hyeong;Kim, Won-Kyu
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.8 no.2
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    • pp.14-26
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    • 2009
  • This study presented a novel method to estimate travel times under incident conditions. Predictive travel time information was defined and evaluated with the proposed method. The proposed method utilized individual vehicle speeds obtained from global positioning systems (GPS) and inter-vehicle communications(IVC) for more reliable real-time travel times. Individual vehicle trajectory data were extracted from microscopic traffic simulations using AIMSUN. Market penetration rates (MPR) and IVC ranges were explored with the accuracy of travel times. Relationship among travel time accuracy, IVC ranges, and MPR were further identified using regression analyses. The outcomes of this study would be useful to derive functional requirements associated with traffic information systems under forthcoming ubiquitous transportation environment

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Optimum Detector Location for Collecting Traffic Information using Microscopic Traffic Simulator for Interrupted Flow (미시 교통류 모형을 이용한 단속류 교통정보 수집용 검지기의 최적 위치 결정)

  • 오기도
    • Proceedings of the KOR-KST Conference
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    • 1998.10a
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    • pp.226-235
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    • 1998
  • 본 논문에서는 추종 모형을 이용한 미시 교통류 시뮬레이션 모형을 개발하고, 이 모형을 통한 시뮬레이션을 통하여 단속류에서 검지기의 설치 위치에 따른 검지 특성을 알아보고, 교통정보 수집용의 검지기의최적 위치에 대해 평가하였다. 검지기로부터 발생하는 교통량, 점유율, 속도 자료중 링크의 통행시간을 가장 잘 반영하는 것은 점유율에 의한 검지기의최적위치는 정지선으로부터 150∼250m이다. 점유율 다음으로 통행시간을 잘 반영하는 자료는 지점속도로서 점유율보다는 상관관계가 낮지만, 양호한 설명력을 가지는 것으로 보인다. 교통량 자료는 상관관계가 낮으며, 교통량에 의한 위치 선정은 각 모의 실험 결과에서 일관적이지 않아 적절한 설명변수가 아니라고 판단하였다. 모든 경우에서, 정지선이나 링크 최상류에 위치한 검지기로부터의 자료는 통행시간과 독립적이므로 이러한 검지기는 교통정보 수집용을 사용할 수 없으며, 일반적인 검지기의최적 위치는 정상상태의 교통류 뿐만 아니라 대기행렬내에 존재하여 매우 혼잡한 상태를 경험할 수 있는 위치라고 할수 있다.

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정보자료(情報資料)의 수집(蒐集)

  • Kim, Seok-Yeong
    • Journal of Information Management
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    • v.18 no.4
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    • pp.77-97
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    • 1985
  • 정보자료관리(情報資料管理)시스템의 기본요소(基本要素)는 정보자료(情報資料)를 이용할 이용자(利用者), 필요한 정보원(情報源), 정보(情報)를 정리하여 가공(加工)하는 축적수단(蓄積手段), 필요정보(必要情報)를 찾아내는 탐색수단(探索手段)과 그리고 제공정보(提供情報)의 만족여부(滿足與否)를 파악(把握)할 피드백 수단(手段) 등이다. 최적(最適)의 자료관리(資料管理)시스템을 운영(運營)하기 위하여 정보자료(情報資料)의 종류(種類)와 특성(特性), 그리고 정보자료(情報資料)의 선정(選定) 및 나아가서는 그것을 입수(入手)하는 방법(方法) 등을 살펴보고자 한다.

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Recent Trends in Research Methods in Library and Information Science : Content Analysis of the Journal Articles (내용분석법에 의한 문헌정보학 학술지 연구논문 분석)

  • Lee, Myeong-Hee
    • Journal of the Korean Society for Library and Information Science
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    • v.36 no.3
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    • pp.287-310
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    • 2002
  • This study used content analysis to examine the research methods in Library and Information Science journals from 1997 to 2001. Analyses measured research subjects, research method, data collection methods, data analysis methods, hypotheses, theories and research funds. Brief consideration is given to possible future methodological trends : web-based research methods, qualitative research, cooperation between academic society and librarians and research fundraising.

Recognition Model of the Vehicle Type usig Clustering Methods (클러스터링 방법을 이용한 차종인식 모형)

  • Jo, Hyeong-Gi;Min, Jun-Yeong;Choe, Jong-Uk
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.2
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    • pp.369-380
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    • 1996
  • Inductive Loop Detector(ILD) has been commonly used in collecting traffic data such as occupancy time and non-occupancy time. From the data, the traffic volume and type of passing vehicle is calculated. To provide reliable data for traffic control and plan, accuracy is required in type recognition which can be utilized to determine split of traffic signal and to provide forecasting data of queue-length for over-saturation control. In this research, a new recognition model issuggested for recognizing typeof vehicle from thecollected data obtained through ILD systems. Two clustering methods, based on statistical algorithms, and one neural network clustering method were employed to test the reliability and occuracy for the methods. In a series of experiments, it was found that the new model can greatly enhance the reliability and accuracy of type recongition rate, much higher than conventional approa-ches. The model modifies the neural network clustering method and enhances the recongition accuracy by iteratively applying the algorithm until no more unclustered data remains.

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An Analysis on Teaching of Data Collection in Elementary School Mathematics Textbooks for 3rd and 4th Grades from the Perspective of Statistical Problem Solving Education (통계적 문제해결 교육의 관점에 따른 초등학교 수학 교과서의 자료 수집 지도 방식 분석: 3~4학년군을 중심으로)

  • Tak, Byungjoo;Ko, Eun-Sung
    • Education of Primary School Mathematics
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    • v.25 no.4
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    • pp.329-341
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    • 2022
  • Data collection is crucial to the process of statistical problem solving since it influences the quality of statistical data. However, there is little instruction on data collection in the Korean mathematics curriculum. In this study, we examined how the data were collected and how the data collection method was taught in the Korean mathematics textbooks for 3rd and 4th grades. As a result, the data appeared in these textbooks were collected by using a variety of methods, including surveys, experiments, observations, and secondary data collections. There were not enough instructions on experiments and observations, compared to surveys and secondary data collection. Additionally, as each textbook works with a distinct contents while teaching data collection, it is expected that there would be variations in the levels that students learn in relation to data collection. Based on these findings, we draw some discussion points to determine how to improve the mathematics curriculum in order to effectively teach data collection in the elementary school.

A Study on Conceptual Model for Digital Libraries Evaluation (디지털도서관 평가를 위한 개념적 모형에 관한 연구)

  • 곽병희;이두영
    • Proceedings of the Korean Society for Information Management Conference
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    • 2001.08a
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    • pp.201-206
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    • 2001
  • 새로운 정보환경과 매체의 발전으로 인하여 오늘날 대학도서관은 인쇄자료와 전자자료, 웹 자원이 공존하여 수집, 가공, 유통되고 있다. 이에 본 연구는 도서관 내·외적인 정보환경과 운영환경의 변화 요인을 수용하여 새로운 평가모형을 개발하고자 전통적인 도서관의 기능을 기반으로 하여 디지털 형태 정보의 수집, 가공, 유통을 통합한 하이브리드(Hybrid)형태의 디지털도서관 평가모형을 제안하고자 한다.

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