• Title/Summary/Keyword: Library Network

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A Study on the Analysis of Intellectual Structure of Korean Veterinary Sciences (국내 수의과학 분야의 지적 구조 분석에 관한 연구)

  • Cho, Hyun-Yang
    • Journal of Information Management
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    • v.43 no.2
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    • pp.43-66
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    • 2012
  • The purpose of this study is to see the intellectual structure in the field of veterinary sciences in Korea, using author profiling analysis(APA), a bibliometric approach. Three journals are selected on the basis of citation data, exchanging most citations with Korean Journal of Veterinary. And then, 50 authors who published most articles at selected journals during the given period of time were chosen. The analysis of similarity and dissimilarity among authors by comparing co-word appearance patterns from article title, abstracts, and keywords was made. Authors can be grouped 11 minor clusters under 4 major clusters, depending on their interests in the area of veterinary sciences in Korea. The subjects for each cluster at the veterinary sciences are decided by the matching the keyword, representing author's research interest. As a result, it is possible to figure out the current research trends and the researcher network in the field of veterinary sciences.

Implementation Of Wireless Telephony Application Server (무선 텔레포니 에플리케이션 서버의 구현)

  • Choi, Chul-Oong;Jang, Ji-San;Lee, Jung-Eun;Kim, Min-Soo;Shin, Dong-Kyoo;Shin, Dong-Il
    • Proceedings of the Korea Information Processing Society Conference
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    • 2001.04a
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    • pp.561-564
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    • 2001
  • 본 논문은 무선 에플리케이션 프로토콜 Specification에서 제시하고 있는 WTA(Wireless Telephony Application) 를 기초로 네트워크에서 발생한 실시간 Event를 처리할 수 있는 모바일 클라이언트 및 WTA서버에 대한 설계와 구현에 대해서 기술한다. 또한 네트워크 이벤트 및 사용자가 발생시킨 이벤트를 디바이스에 독립적으로 처리할 수 있는 WTA 라이브러리와 필요한 컨텐츠를 실시간으로 브라우징하기 위한 Repository 에 대해 기술한다. 전체적인 WTA 환경 구조는 크게 2개의 물리적 구조인 Mobile Client와 WTA Server로 구현되어있다. Mobile Client의 내부 모듈은 표준 WAE 사용자 에이전트(Standard WAE User Agent)의 확장인 WTA 사용자 에이전트 모듈(WTA User-Agent Module), 필요한 resource를 서버로 요청하고 저장하는 채널 인스톨 모듈(Channel Install Module), network로부터 발생한 Event를 처리하는 이벤트 핸들러 모듈(Event Handler Module), mobile network 기능들(e.g. setting up calls)과 device specific feature(e.g. manipulating the phonebook)를 다루는 WTA 스크립트 라이브러리(WTA Script Library), Phonebook 엑세스 모듈(Phonebook Access Module), 실시간으로 즉각 이벤트에 반응하기 위한 Repository로 구성되어있고, WTA Server는 Client가 요청한 Content(services)를 전달 해 주는 컨텐트 전달 모듈(Content Deliver Module)과 서버 Phonebook 엑세스 모들(Server Phonebook Access Module)로 구성되어 있다.

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Development of water elevation prediction algorithm using unstructured data : Application to Cheongdam Bridge, Korea (비정형화 데이터를 활용한 수위예측 알고리즘 개발 : 청담대교 적용)

  • Lee, Seung Yeon;Yoo, Hyung Ju;Lee, Seung Oh
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.121-121
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    • 2019
  • 특정 지역에 집중적으로 비가 내리는 현상인 국지성호우가 빈번히 발생함에 따라 하천 주변 사회기반시설의 침수 위험성이 증가하고 있다. 침수 위험성 판단 여부는 주로 수위정보를 이용하며 수위 예측은 대부분 수치모형을 이용한다. 본 연구에서는 빅데이터 기반의 RNN(Recurrent Neural Networks)기법 알고리즘을 활용하여 수위를 예측하였다. 연구대상지는 조위의 영향을 많이 받는 한강 전역을 대상으로 하였다. 2008년~2018년(10개년)의 실제 침수 피해 실적을 조사한 결과 잠수교, 한강대교, 청담대교 등에서 침수 피해 발생률이 높게 나타났고 SNS(Social Network Services)와 같은 비정형화 자료에서는 청담대교가 가장 많이 태그(Tag)되어 청담대교를 연구범위로 설정하였다. 본 연구에서는 Python에서 제공하는 Tensor flow Library를 이용하여 수위예측 알고리즘을 적용하였다. 데이터는 정형화 데이터와 비정형 데이터를 사용하였으며 정형화 데이터는 한강홍수 통제소나 기상청에서 제공하는 최근 10년간의 (2008~2018) 수위 및 강우량 자료를 수집하였다. 비정형화 데이터는 SNS를 이용하여 민간 정보를 수집하여 정형화된 자료와 함께 전체자료를 구축하였다. 민감도 분석을 통하여 모델의 은닉층(5), 학습률(0.02) 및 반복횟수(100)의 최적값을 설정하였고, 24시간 동안의 데이터를 이용하여 3시간 후의 수위를 예측하였다. 2008년~ 2017년 까지의 데이터는 학습 데이터로 사용하였으며 2018년의 수위를 예측 및 평가하였다. 2018년의 관측수위 자료와 비교한 결과 90% 이상의 데이터가 10% 이내의 오차를 나타내었으며, 첨두수위도 비교적 정확하게 예측되는 것을 확인하였다. 향후 수위와 강우량뿐만 아니라 다양한 인자들도 고려한다면 보다 신속하고 정확한 예측 정보를 얻을 수 있을 것으로 기대된다.

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Study On Receiving and Processing Method about Utilization of Near Real-time Satellite Data (준실시간 활용을 위한 위성자료 수신, 가공 방안 연구)

  • Kim, Soon Yeon;Jung, Young Sim;An, Joo Young;Park, Sang Hoon;Won, Young Jin
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.467-467
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    • 2017
  • 토양수분 및 황사발생 연구에 있어 효율적인 광역 분석을 위하여 위성자료가 활용되고 있다. 활용 시나리오에 따라서는 준실시간 자료 수신, 처리가 필요하며 본 연구에서는 이에 대한 방안을 연구하기 위하여 유럽 EUMETSAT(European Organisation for the Exploitation of Meteorological Satellites)의 ASCAT(Advanced Scatterometer) Metop-A 자료에 대하여 파악하였다. 자료 수신 프로토콜에 있어서 FTP, HTTP 등 전통적 방법에 대한 현황과 함께 비교적 최근 기법인 OGC(Open Geospatial Consortium)  WMS(Web Map Service), WCS(Web Coverage Service) 방식의 지원 현황에 대하여 확인하였다. 제공되는 자료 Format부분은 EPS Native와 BUFR(Binary Universal Form for the Representation of meteorological data)을 살펴보되 데이터 프로바이더 측에서 대부분 채택되고 있는 NetCDF(network Common Data Form)를 중심으로 파악하였다. 수신된 자료의 처리 자동화를 위한 소프트웨어는 OSGeo(The Open Source Geospatial Foundation)의 GDAL(Geospatial Data Abstraction Library), 미국 NCAR(National Center for Atmospheric Research)의 NCL(NCAR Command Language)을 중심으로 확인하였다. 자료 가공기법은 격자(Raster) 자료에 대한 기본 메타정보 확인, 좌표참조체계 변환, 해상도 및 Format 변환을 중심으로 확인하였다. 한편 OGC WMS, WCS는 자료의 전송 프로토콜 기법이면서 동시에 서버 사이드에서의 자료 변환 기능을 구비하고 있다. 예를 들어 Http Request에서 영역(Extent), Format 형식, 좌표참조체계를 지정할 수 있다. OGC WMS에 대한 EUMETSAT 파일럿 서비스에서 반환 자료의 공간적 영역, 복수 시점 제공 현황, 반환 포맷 지원 상황은 실제 메서드를 사용하여 파악하였고, 향후 발전 방향을 전망하였다.

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Analysis of Resonant Characteristics in High Voltage Windings of Main Transformer for Railway Vehicle using EMTP (EMTP를 이용한 철도차량용 주변압기 고압권선의 공진특성 분석)

  • Jeong, Ki-Seok;Jang, Dong-Uk;Chung, Jong-Duk
    • Journal of the Korean Society for Railway
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    • v.19 no.4
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    • pp.436-444
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    • 2016
  • The primary windings of the main transformer for rolling stock have several natural frequencies that can occur internal resonance with transient voltages induced on a high voltage feeding line. Factory testing is limited in its ability to determine whether or not transient voltage with various shape and duration can be excitable. This study presents the design of a high voltage windings model and simulation and analysis of the internal resonant characteristics in terms of the initial voltage distribution and voltage-frequency relationship using the electromagnetic transients program (EMTP). Turn-based lumped-parameters are calculated using the geometry data of the transformer. And, sub-models, being grouped into the total number of layers, are composed using a ladder-network model and implemented by the library function of EMTP. Case studies are used to show the layer-based voltage-frequency relationship characteristics according to the frequency sweep and the voltage escalation and distribution aspects in time-domain simulation.

Research Trends Review of Undergraduates' on Entrepreneurship Education Program to Develop the Entrepreneurship Program for Nursing College Students (간호대학생 창업교육프로그램 개발을 위한 대학생 대상 창업교육프로그램 연구 동향 고찰)

  • Noh, Wonjung;Kang, Jiwon;Lee, Youngjin
    • Journal of Convergence for Information Technology
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    • v.9 no.2
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    • pp.148-154
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    • 2019
  • The study was performed to prepare basic data for the development of entrepreneur education programs for nursing students through literature review and text network of relevant studies on entrepreneurship education for college students. The research was found in the database of the Korea Education and Research Information Service, the Korean Academic Information Service System, DBpia and the National Assembly Library with keywords such as 'entrepreneur', 'student', 'education', 'program' and 'training. The final selected paper was 35 studies in Korea from 2000 to September 2016. The largest number of studies have been conducted since 2011 with 85.71%, and the largest proportion of survey(88.57 %). The major independent variables were entrepreneur self-efficacy and entrepreneurship and the dependent variables were entrepreneur intention and entreprenuer self-efficacy. Based on this result, entrepreneur education programs will be developed suitable for the target, and it can promote the entrepreneur education for nursing students.

A Study on the Pattern and Efficiency of Patron-Driven Acquisition in Academic Libraries (대학도서관 희망도서의 신청 패턴과 이용효과 분석에 관한 연구)

  • Kwon, Sodam;Nam, Young Joon
    • Journal of the Korean Society for information Management
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    • v.35 no.4
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    • pp.263-284
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    • 2018
  • Academic libraries need to select and purchase essential collections to support students and faculty in education and research. Therefore, libraries reflect patrons' information needs on collection development through patron purchase requests. This study analyzed the pattern and efficiency of patron purchase requests in a longer-term perspective; for over a decade. Patron purchase requests show different tendencies depending on academic characteristics, which enabled libraries to identify the users' information needs in various subjects. Typically users contributed to collection development by expressing information needs in their fields of study through purchase requests. In the meantime, users in certain fields showed interest in other subject areas besides their own to select general books on various topics. Through this study, it became evident that a major portion of library collections were affected by active purchase requests from a small number of users. However those books were proven to be in demand in terms of effectiveness. Patron-driven acquisition is being implemented as an effective collection development policy.

Effectiveness of worksite-based dietary interventions on employees' obesity: a systematic review and meta-analysis

  • Park, Seong-Hi;Kim, So-Young
    • Nutrition Research and Practice
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    • v.13 no.5
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    • pp.399-409
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    • 2019
  • BACKGROUND/OBJECTIVES: This study was designed to provide scientific evidence on the effectiveness of worksite-based dietary intervention to reduce obesity among overweight/obese employees. MATERIALS/METHODS: Electronic search was performed using Ovid Medline, Embase, Cochrane Library, and CINAHL databases. The keywords used were "obesity," "nutrition therapy," and "worksite." The internal validity of the randomized controlled trials (RCTs) was assessed using the Cochrane's Risk of Bias. Meta-analysis of selected studies was performed using Review Manager 5.3. RESULTS: A total of seven RCTs with 2,854 participants were identified. The effectiveness of dietary interventions was analyzed in terms of changes in weight, body mass index (BMI), total cholesterol, and blood pressure. The results showed that weight decreased with weighted mean difference (WMD) of -4.37 (95% confidence interval (CI): -6.54 to -2.20), but the effectiveness was statistically significant only in short-term programs < 6 months (P = 0.001). BMI also decreased with WMD of -1.26 (95% CI: -1.98 to -0.55), but the effectiveness was statistically significant only in short-term programs < 6 months (P = 0.001). Total cholesterol decreased with WMD of -5.57 (95% CI: -9.07 to -2.07) mg/dL, demonstrating significant effectiveness (P = 0.002). Both systolic (WMD: -4.90 mmHg) and diastolic (WMD: -2.88 mmHg) blood pressure decreased, demonstrating effectiveness, but with no statistical significance. CONCLUSIONS: The worksite-based dietary interventions for overweight/obese employees showed modest short-term effects. These interventions can be considered successful because weight loss was below approximately 5-10 kg of the initial body weight, which is the threshold for the management of obesity recommended by the Scottish Intercollegiate Guideline Network (SIGN).

Accident Detection System for Construction Sites Using Multiple Cameras and Object Detection (다중 카메라와 객체 탐지를 활용한 건설 현장 사고 감지 시스템)

  • Min hyung Kim;Min sung Kam;Ho sung Ryu;Jun hyeok Park;Min soo Jeon;Hyeong woo Choi;Jun-Ki Min
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.605-611
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    • 2023
  • Accidents at construction sites have a very high rate of fatalities due to the nature of being prone to severe injury patients. In order to reduce the mortality rate of severely injury patients, quick response is required, and some systems that detect accidents using AI technology and cameras have been devised to respond quickly to accidents. However, since existing accident detection systems use only a single camera, there are blind spots, Thus, they cannot detect all accidents at a construction site. Therefore, in this paper, we present the system that minimizes the detection blind spot by using multiple cameras. Our implemented system extracts feature points from the images of multiple cameras with the YOLO-pose library, and inputs the extracted feature points to a Long Short Term Memory-based recurrent neural network in order to detect accidents. In our experimental result, we confirme that the proposed system shows high accuracy while minimizing detection blind spots by using multiple cameras.

Analysis of methods for the model extraction without training data (학습 데이터가 없는 모델 탈취 방법에 대한 분석)

  • Hyun Kwon;Yonggi Kim;Jun Lee
    • Convergence Security Journal
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    • v.23 no.5
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    • pp.57-64
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    • 2023
  • In this study, we analyzed how to steal the target model without training data. Input data is generated using the generative model, and a similar model is created by defining a loss function so that the predicted values of the target model and the similar model are close to each other. At this time, the target model has a process of learning so that the similar model is similar to it by gradient descent using the logit (logic) value of each class for the input data. The tensorflow machine learning library was used as an experimental environment, and CIFAR10 and SVHN were used as datasets. A similar model was created using the ResNet model as a target model. As a result of the experiment, it was found that the model stealing method generated a similar model with an accuracy of 86.18% for CIFAR10 and 96.02% for SVHN, producing similar predicted values to the target model. In addition, considerations on the model stealing method, military use, and limitations were also analyzed.