• Proceedings of the Korean Information Science Society Conference
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• 2010.06c
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• pp.126-131
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• 2010

국가과학기술지식정보서비스(NTIS)는 현재 15개 부처 청 16개 대표전문기관 및 8개 성과물전담기관으로 부터 데이터를 연계수집 및 통합하여 공동 활용하고 있다. NTIS가 상기와 같은 분산 환경에서 데이터를 통합한 후 서비스를 제공하고 있는 이유로 인해, 데이터를 제공하는 각 기관에서는 데이터 제공과 관련 하드웨어, 소프트웨어 및 제공대상 데이터에 대한 상세정보를 실시간으로 모니터링할 수 있는 기능을 요구하였다. 본 논문에서는 이러한 요구사항을 충족시키기 위해 개발한 정보연계모니터링(Real-time Monitoring: ReMon) 서비스를 소개한다. ReMon서비스를 활용함으로써 분산 환경에서의 데이터 통합을 실시간으로 모니터링할 수 있으며, 나아가 국가R&D정보의 수집 및 공동 활용체계를 개선시키는 데에 기여하였다.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.79-80
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• 2018

본 논문에서는 2015년도 이용 고객의 변화를 3년간 분석하여 이용행태를 모니터링하고 기관의 고객만족 개선 활동에 대한 고객의 의견을 분석하기 위함이다. 한국과학기술정보연구원의 국가과학기술지식정보서비스 (NTIS : National Science & Technology Information Service)는 사업, 과제, 인력, 연구시설 장비, 성과 등 국가연구개발 사업에 대한 정보를 한 곳에서 서비스하는 국가과학기술 지식정보 포털입니다. 부처별(기관별)로 개별 관리되고 있는 국가R&D 사업 관련 정보와 과학기술 정보를 공유하고 공동 활용해, 국가R&D 투자 효율성을 높이고 연구 생산성 향상에 기여하는 것이 주목적입니다. 국가과학기술지식정보서비스에 대한 고객만족도를 기반으로 하여 핵심고객을 예측할 수 있는 프레임워크를 구축하는 것이다. 이를 위해 서비스를 경험한 500여명의 의사결정자를 대상으로 국가과학기술지식정보서비스에 대한 고객충성도를 분석하였다. 이와 같은 연구결과는 인터넷 등 정보의 발달로 고객의 긍정적 또는 부정적인 구전이 급속도로 노출되는 환경에서 고객의 만족도를 관리함으로써 핵심고객을 확보하는데 사전 예측자료로 활용될 수 있다.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.2
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• pp.389-396
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• 2024

Generative AI has recently been utilized across all fields, achieving expert-level advancements in deep data analysis. However, identifying regional names in scientific literature remains a challenge due to insufficient training data and limited AI application. This study developed a standardized dataset for effectively classifying regional names using address data from Korean institution-affiliated authors listed in the Web of Science. It tested and evaluated the applicability of machine learning and deep learning models in real-world problems. The BERT model showed superior performance, with a precision of 98.41%, recall of 98.2%, and F1 score of 98.31% for metropolitan areas, and a precision of 91.79%, recall of 88.32%, and F1 score of 89.54% for city classifications. These findings offer a valuable data foundation for future research on regional R&D status, researcher mobility, collaboration status, and so on.

• Journal of the Korea Institute of Military Science and Technology
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• v.27 no.2
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• pp.294-303
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• 2024

The objective of condition-based maintenance plus(CBM+) is to improve the availability and maintenance efficiency of missiles, bolstering national defense capabilities. This study proposes an application of CBM+ to enhance the reliability and the safety of missiles, which are the devices typically stored for long durations. CBM+ CBM+ does not only contribute to defense capabilities, but it also aims to reduce maintenance costs. This study focuses particularly on the dormant stage of the missile life-cycle, in which various failure modes and environmental impacts on failure mechanisms are investigated. The effectiveness of maintenance strategies and the implementation of CBM+ is evaluated using simulation data.

• Journal of Korean Tunnelling and Underground Space Association
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• v.25 no.6
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• pp.509-523
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• 2023

The high-level nuclear waste (HLW) repository is exposed to complex environmental conditions consisting of high temperature, high humidity, and radiation, resulting in structural deterioration. Therefore, structural health monitoring is essential, and piezo sensors are used to detect cracks and estimate strength. However, since the monitoring sensors installed in the disposal tunnel and disposal container cannot be replaced or removed, the quantitative life of the monitoring sensor and its suitability must be assessed. In this study, the life of a piezo sensor for monitoring was assessed using an accelerated life test (ALT). The failure mode and mechanism of the piezo sensor under high temperature conditions were determined, and temperature stress's influence on the piezo sensor's life was analyzed. ALT was conducted on temperature stress and the relationship between temperature stress and piezo sensor life was suggested. The life of the piezo sensor was assessed using the Weibull probability distribution and the Arrhenius acceleration model. The suggested relationship can be used in multiple stress ALT designs for more precise life assessment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.22-31
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• 2023

Governments around the world are enacting laws mandating explainable traceability when using AI(Artificial Intelligence) to solve real-world problems. HAI(Human-Centric Artificial Intelligence) is an approach that induces human decision-making through Human-AI collaboration. This research presents a case study that implements the Human-AI collaboration to achieve explainable traceability in governmental data analysis. The Human-AI collaboration explored in this study performs AI inferences for generating labels, followed by AI interpretation to make results more explainable and traceable. The study utilized an example dataset from the Ministry of Oceans and Fisheries to reproduce the Human-AI collaboration process used in actual policy-making, in which the Ministry of Science and ICT utilized R&D PIE(R&D Platform for Investment and Evaluation) to build a government investment portfolio.

• Journal of the Korean Applied Science and Technology
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• v.37 no.2
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• pp.214-223
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• 2020

This study evaluated CO₂ removal efficiency, monitoring data analysis / evaluation efficiency and energy reduction efficiency in the liquor factory by L-alanine applied scrubber. The average removal rate of the scrubber was 90.45%, and it was confirmed that the removal efficiency was excellent above 10,000ppm of inlet CO₂ concentration. After the scrubber operation, the CO₂ concentration in the workplace was maintained under 2,000ppm(the carbon dioxide reduction efficiency was about 74%). and the energy saving efficiency was calculated to 7.26% by reducing the power consumption. As a result of applying the developed product, it was possible to improve the working environment of workers by reducing the carbon dioxide concentration in the workplace at low concentration without ventilation, and to reduce the energy consumption. Therefore, it is expected that the scrubber will be useful as a high CO₂ removal process in food and liquor factories.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.349-350
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• 2018

최근 빅데이터를 비롯한 각종 실험 장비의 발전에 따라 첨단 분야에서의 과학데이터가 급격히 증가하고 있는 가운데, 그래프 매칭은 컴퓨터 네트워크 모니터링, 소셜 네트워크의 진화 분석, 생물학 네트워크에서 모티프(motif) 탐지 등 네트워크 분석 및 데이터 마이닝 분야에서 널리 활용되고 있다. 이와 같이, 폭발적으로 증가하는 데이터에 대한 네트워크 모델링 및 유사 그래프 매칭 분석을 수행하기 위한 연구 및 기반 기술 개발은 필수적인 실정이다. 본 논문에서는 이미 확보된 대용량 그래프에서 유사한 형태의 서브 그래프를 매칭할 수 있는 GUI(Graphic User Interface)기반의 생성 도구를 제안한다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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• pp.1-7
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• 2022

Explainable AI (XAI) is an approach that leverages artificial intelligence to support human decision-making. Recently, governments of several countries including Korea are attempting objective evidence-based analyses of R&D investments with returns by analyzing quantitative data. Over the past decade, governments have invested in relevant researches, allowing government officials to gain insights to help them evaluate past performances and discuss future policy directions. Compared to the size that has not been used yet, the utilization of the text information (accumulated in national DBs) so far is low level. The current study utilizes a text mining strategy for monitoring innovations along with a case study of smart-farms in the Honam region.

• Food Science and Industry
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• v.54 no.2
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• pp.93-101
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• 2021

Hazard Analysis Critical Control Point (HACCP) systems were developed to ensure a high level of food safety and reduced risk of foodborne illness. This paper focuses on significant issues associated with the implementation of HACCP; it provides an overview on recent literature. The structure of the paper follows six groupings of issues in the international literature of HACCP: (1) comparative studies and unification plan between HACCP and other food safety regulations; (2) verification of the HACCP system's effectiveness in improving food safety; (3) establishment of critical control point (CCP) for various foods HACCP model development; (4) expansion of HACCP application in the various fields and small businesses;(5) the impacts of HACCP on consumer's preferences and firms' financial performance in food industry; (6) HACCP and technological changes. The paper concludes with some suggestions for the future research in order to promote safe food supply chain for global customers.