• Journal of the Korean Society for information Management
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• v.28 no.4
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• pp.243-261
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• 2011

This study aims to investigate a framework for linkage of national research performance evaluation and research information service from the perspective of metadata representation and exchange. Based on results of the functional requirements for metadata of national research performance evaluation are derived, this study suggests strategies for the application of international metadata standards. Also, this study presents an method to implement the metadata of research performance evaluation based on OAI-ORE, which is an international standard that can reuse and exchange the research information on web architecture.

• Journal of the Korean Society for information Management
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• v.28 no.4
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• pp.85-97
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• 2011

The purpose of this study was to develop a methodology of user participation evaluation of a scholarly information site in the field of science and technology and to enhance the site by applying a set of testing protocols. Experiments were conducted in a laboratory setting. Data from multiple sources, including eyetracking, search logs and post surveys, were collected and analyzed quantitatively. Based on the results of eyetracking, the contents and images were reorganized after removing unessential elements in the site. The resulting data from the search logs showed that the users were able to finish the tasks more quickly with the revised user interface. The results of the data analysis of post surveys indicated an overall improvement in the revised website compared to the original one.

• Annual Conference of KIPS
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• 2003.11c
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• pp.1477-1480
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• 2003

오늘날 과학기술 정보는 아주 다양한 곳에서 다양한 방식으로 생산 유통된다. 그러므로 원하는 정보의 위치나 각 정보 소스의 사용법을 모르는 사용자들은 일일이 정보 소스를 찾아 들어가 검색을 수행하여야 하는 번거로움이 있다. 본 논문에서는 사용자들에게 여러 곳에 위치한 과학기술 정보들을 한번에 검색하여 제공할 수 있는 과학기술 종합정보 시스템을 구현한다. 이를 위하여 KISTI와 (주)엔퀘스트에서 공동 개발한 분산통합검색 프로토콜을 사용한다. 사용된 분산통합 검색 프로토콜은 XML 기반으로 정의되어 있으며, 원천서버의 위치와 질의 형식 등에 관한 메타데이터를 유지하고 있어 분산된 서버들을 쉽게 통합검색에 참여 시킬 수 있다.

• Korean Journal of Remote Sensing
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• v.15 no.2
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• pp.119-130
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• 1999

At present, many ground stations all over the world are using NORAD orbit element data in order to track and communicate with Earth orbiting satellites. The North American Aerospace Defense Command (NORAD) observes thousands of Earth orbiting objects on daily basis and provides their orbital information via internet. The orbital data provided by NORAD, which is also called two line element (TLE) sets, allows ground stations to predict the time-varying positions of satellites accurately enough to communicate with the satellites. In order to complete the mission of a high resolution remote sensing satellite which requires very high positional determination and control accuracy, however, a mission control and tracking ground station is dedicated for the observation and positional determination of the satellite rather than using NORAD orbital sets. In the case of KITSAT-3, NORAD orbital elements are currently used for image acquisition planning and for the processing of acquired images due to the absence of a dedicated KITSAT-3 tracking ground system. In this paper, we tested and analyzed the accuracy of NORAD orbital elements and the appropriate prediction model to determine how accurately a satellite acquisites an image of the location of interest and how accurately a ground processing system can generate the catalog of the images.

• 한국지구과학회:학술대회논문집
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• 2006.02a
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• pp.169-174
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• 2006

현대 교육은 단순한 암기 위주가 아닌 첨단 컴퓨터를 이용한 실험 실습 위주의 직접 보고 듣고 느끼는 방향으로 진보하고 있다. 실험 실습에 의한 과학교육은 사용자의 탐구능력 향상과 과학적 태도 향상에 중요한 역할을 하게 될 것이며 기존의 암기위주나 단순한 수치에 의한 개념 학습을 탈피하여 Data collection 기술과 분석의 활용을 통해 사용자가 과학을 좀 더 이해하고 사용할 수 있도록 하는 능력을 증진하게 한다. 이를 위한 과학교육의 한 방법으로 MBL(Microcomputer Based Laboratory)은 실험자가 실험실이나 야외에서 각종 기구를 사용해 데이터를 습득할 수 있도록 도와주는 컴퓨터 기반 과학 실험 시스템으로서 미국, 영국 등 과학 교육 분야에서 추구하고 있는 세계적인 추세라고 할 수 있다. 이러한 MBL 시스템의 구성은 센서를 통해 얻어지는 자료를 컴퓨터에 전달하는 매개체인 인터페이스, 과학 실험에서 발생하는 데이터를 직접 전기적 신호로 변환하여 인터페이스에 전달하는 센서, 인터페이스에서 전달되는 전기적 신호를 컴퓨터 화면에 나타내어 주는 컴퓨터용 전용 프로그램으로 구성된다. 이러한 MBL을 과학교육에 활용한다면 학생들이 스스로 과학적으로 탐구하고 문제를 해결할 수 있는 능력을 배양하는 데 많은 도움이 될 것이다.

• Journal of the Korean Society for Library and Information Science
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• v.39 no.3
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• pp.183-205
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• 2005

The Information of Technology Trend is one of the critical factors for research activities. In addition, this information tremendously affects the decision-making process of Science and Technology Policy. However, metadata of this information has not gain much attention so far. This research suggests metadata element and encoding scheme that is based on NewsML and using metadata of domestic Information of Technology Trend service system. The result of this research provides the basic resources for developing standard metadata of Information of Technology Trend which is suitable for domestic information technology situation.

• Database Research
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• v.34 no.3
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• pp.58-68
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• 2018

Distributed computing helps to efficiently store and process large data on a cluster of multiple machines. The performance of distributed computing is greatly influenced depending on the state of the servers constituting the distributed system. In this paper, we propose a self-diagnosis system that collects log data in a distributed system, detects anomalies and visualizes the results in real time. First, we divide the self-diagnosis process into five stages: collecting, delivering, analyzing, storing, and visualizing stages. Next, we design a real-time self-diagnosis system that meets the goals of real-time, scalability, and high availability. The proposed system is based on Apache Flume, Apache Kafka, and Apache Storm, which are representative real-time distributed techniques. In addition, we use simple but effective moving average and 3-sigma based anomaly detection technique to minimize the delay of log data processing during the self-diagnosis process. Through the results of this paper, we can construct a distributed real-time self-diagnosis solution that can diagnose server status in real time in a complicated distributed system.

• The Journal of the Acoustical Society of Korea
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• v.41 no.2
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• pp.235-241
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• 2022

Several studies using Convolutional Neural Network (CNN) have been conducted to detect and classify the sounds of marine mammals in underwater acoustic data collected through passive acoustic monitoring. In this study, the possibility of automatic classification of bearded seal sounds was confirmed using a CNN model based on the underwater acoustic spectrogram images collected from August 2017 to August 2018 in East Siberian Sea. When only the clear seal sound was used as training dataset, overfitting due to memorization was occurred. By evaluating the entire training data by replacing some training data with data containing noise, it was confirmed that overfitting was prevented as the model was generalized more than before with accuracy (0.9743), precision (0.9783), recall (0.9520). As a result, the performance of the classification model for bearded seals signal has improved when the noise was included in the training data.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1305-1307
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• 2022

자동차 부품의 결함은 시스템 전체의 성능 저하 및 인적 물적 손실이 발생할 수 있으므로 생산라인에서의 불량 검출은 매우 중요하다. 따라서 정확하고 균일한 결과의 불량 검출을 위해 딥러닝 기반의 고장 진단 시스템이 다양하게 연구되고 있다. 하지만 제조현장에서는 정상 샘플보다 비정상 샘플의 발생 빈도가 현저히 낮다. 이는 학습 데이터의 클래스 불균형 문제로 이어지게 되고, 이러한 불균형 문제는 고장을 판별하는 분류 모델의 성능에 영향을 끼치게 된다. 이에 본 연구에서는 모터의 동작음으로부터 불량 모터를 판별하는 불량 검출 시스템 설계를 위한 데이터 불균형 해결 방법을 제안한다. 자동차 사이드 미러 모터의 동작음을 학습 및 테스트를 위한 데이터 셋으로 사용하였으며 손실함수 계산 시 학습 데이터 셋의 클래스별 샘플 수 가 반영되는 label-distribution-aware margin(LDAM) loss 와 Inception, ResNet, DenseNet 신경망 모델의 비교 분석을 통해 불균형 데이터를 처리할 수 있는 가능성을 보여주었다.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.1
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• pp.1-14
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• 2023

To secure national future competitiveness, the Korean government announced the 『National Ultra-High Performance Computing (HPC) Innovation Strategy (2021.5.28.)』 and set three innovation strategy goals throughout establishing an innovation ecosystem. This study presented a heterogenous data-based strategic support framework that allowed to understand both the current status of domestic & foreign R&D areas and domestic industrial economy areas in terms of strategic fields related to ultra-high performance computing, and the empirical research was conducted in the life science and public health area. The HPC innovation ecosystem platform based on the connection of heterogeneous data (domestic R&D project-technology-industry-overseas R&D project) presented in this study provided useful and essential information that allowed establishing a specific action plan for the national HPC innovation strategy and contributing to vitalizing the innovation ecosystem. Since the evidence-based policy assumes that a more reasonable consensus is reached through a non-biased decision- making process among stakeholders, the proposed platform may contribute to enhancing policy momentum by increasing legitimacy and trust of planning of the national HPC strategy.