• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 추계학술대회 논문집 학회본부
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• pp.143-145
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• 1996

This paper presents the hybrid type based expert system for fault diagnosis in transformers. The proposed system uses the novel fault diagnostic technique based on dissolved gas analysis(DGA) in oil-immersed transformers. The uncertainty of key gas analysis, norm threshold, and gas ratio boundaries are managed by using a fuzzy set. Also, the uncertainty of the fault diagnostic rules are handled by using fuzzy measures. Finally, kohnen's feature map performs fault classification in transformers. To verify the effectiveness of the proposed diagnosis technique, the hybrid type based expert system for fault diagnosis has been tested by using KEPCO's transformer gas records.

• Journal of the Korean Wood Science and Technology
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• 제47권4호
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• pp.509-518
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• 2019

This study analyzed the effect of organic solvent extractives on the classification of wood species via near-infrared spectroscopy (NIR). In our previous research, five species of Korean softwood were classified into three groups (i.e., Cryptomeria japonica (cedar)/Chamaecyparis obtuse (cypress), Pinus densiflora (red pine)/Pinus koraiensis (Korean pine), and Larix kaempferi (Larch)) using an NIR-based principal component analysis method. Similar tendencies of extractive distribution were observed among the three groups in that study. Therefore, in this study, we qualitatively analyzed extractives extracted by an organic solvent and analyzed the NIR spectra in terms of the extractives' chemical structure and band assignment to determine their effect in more detail. Cedar/cypress showed a similar NIR spectra patterns by removing the extractives at 1695, 1724, and 2291 nm. D-pinitol, which was detected in cedar, contributed to that wavelength. Red pine/Korean pine showed spectra changes at 1616, 1695, 1681, 1705, 1724, 1731, 1765, 1780, and 2300 nm. Diterpenoids and fatty acid, which have a carboxylic group and an aliphatic double bond, contributed to that wavelength. Larch showed a catechin peak in gas chromatography and mass spectroscopy analysis, but it exhibited very small NIR spectra changes. The aromatic bond in larch seemed to have low sensitivity because of the 1st overtone of the O-H bond of the sawdust cellulose. The three groups sorted via NIR spectroscopy in the previous research showed quite different compositions of extractives, in accordance with the NIR band assignment. Thus, organic solvent extractives are expected to affect the classification of wood species using NIR spectroscopy.

• 한국가스학회지
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• 제20권3호
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• pp.59-65
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• 2016

가스 사용 시설에서 폭발 위험성 평가 등급에 따라 적합한 방폭용 설비를 사용하는 것은 매우 중요하다. 가스 관련 법에서 가스 사용시설의 방폭 기준은 제시하고 있으나 폭발 위험장소 구분을 위한 기술 기준은 별도로 제시되어 있지 않다. 본 연구에서 한국산업표준 KS를 이용하여 저압 도시가스 배관시설에 대해 합리적인 폭발위험성 예측 방법을 제시하고자 한다. 누출공 크기, 누출압력에 따른 가상체적, 환기 유효성 등의 중요변수를 적용하여 폭발위험성이 예측되었다. 자연 환기 조건을 만족하는 실험 설비가 제작되어 도시 가스 누출 실험 결과와 KS 표준에 의해 예측된 폭발 위험성 예측 결과가 비교되었다.

• 한국항해항만학회지
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• 제47권1호
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• pp.25-36
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• 2023

선박의 온실가스 감축을 위한 다양한 환경규제가 발효되었고, 이로 인해 액화 천연 가스(Liquid natural gas, LNG), 액화 석유 가스(Liquefied petroleum gas, LPG), 암모니아 그리고 바이오 연료 등 여러 대체 연료를 선박에 적용하고 있다. 대안 연료의 대부분이 액화가스형태의 저인화점 연료가 많이 거론되고 있고 그 사용량은 지속적으로 늘어날 것으로 예상된다. 이에 따라, 이러한 저인화점 연료를 선박 연료로써 이용하기 위한 표준이나 지침서가 필요한데 아직까지 미비한 실정이다. LNG의 경우, 벙커링과 관련하여 ISO 표준이 마련되었고 비영리민간기구(NGO)인 선박가스연료협회(Society for Gas as a Marine Fuel, SGMF)에서도 LNG 벙커링에 대한 지침서를 마련하여 발간하였다. 이와 더불어, 선급에서도 안전한 벙커링을 위해 벙커링 방법과 절차에 따라 안전관리구역을 지정하도록 하고 있다. 따라서, 연료에 따른 안전관리구역을 설정하기 위한 절차를 마련하고 절차 수립을 위해 벙커링 환경조건과 가스 누출 시나리오를 분석하고 이를 토대로 수치해석적 방법으로 검증이 필요하다. 본 연구에서는 이러한 절차 수립을 위한 초기 연구로써, 산업계의 적용 현황과 표준을 살펴보고 선급 지침서와 기존 선행 연구를 분석 및 조사하였다. 이를 바탕으로 국내 항만에서 벙커링을 위한 안전관리구역 설정을 위한 절차를 마련하고자 한다.

• 통합자연과학논문집
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• 제14권2호
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• pp.41-49
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• 2021

The causes of climate change are natural and artificial. Natural causes include changes in temperature and sunspot activities caused by changes in solar radiation due to large-scale volcanic activities, while artificial causes include increased greenhouse gas concentrations and land use changes. Studies have shown that excessive carbon use among artificial causes has accelerated global warming. Climate change is rapidly under way because of this. Due to climate change, the frequency and cycle of infectious disease viruses are greater and faster than before. Currently, the world is suffering greatly from coronavirus infection-19 (COVID-19). Korea is no exception. The first confirmed case occurred on January 20, 2020, and the number of infected people has steadily increased due to several waves since then, and many confirmed cases are occurring in 2021. In this study, we conduct a study on climate change before and after COVID-19 using weather data from Korea to determine whether climate change affects infectious disease viruses through logistic regression analysis. Based on this, we want to classify before and after COVID-19 through a logistic regression model to see how much classification rate we have. In addition, we compare monthly classification rates to see if there are seasonal classification differences.

• 품질경영학회지
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• 제49권4호
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• pp.623-640
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• 2021

Purpose: As an excellent example of ethical management of public enterprises, it provides implications for excellent management strategies through continuous ethical management promotion to domestic public enterprises and general enterprises through case analysis of the Korea Gas Technology Corporation's ethical management system and implementation. Methods: A case analysis was conducted on the ethical management system and implementation of the Korea Gas Technology Corporation, focusing on ethical management, human rights management, and social contribution activities. Results: The Korea Gas Technology Corporation's ethical management case is significant as an example showing the long-term progress and development process of establishing and implementing the ethical management system. Starting with the establishment of a basic plan for ethical management in 2004, the Korea Gas Technology Corporation has continuously advanced its ethical management system and practical capabilities. Through this, it is possible to provide implications to other companies through benchmarking on major implementations at each stage, such as the introduction, institutionalization, settlement, and maturity of the ethical management system. Conclusion: It proposes ethical management execution performance management centered on the performance of each stakeholder, linkage between the ethical management strategy system and the organization's strategy system, classification of related subjects and roles in the ethical management promotion system, and active external communication.

• 한국안전학회지
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• 제26권5호
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• pp.33-40
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• 2011

In the hazardous areas where explosive liquids, vapors and gases exist, electrical apparatus/equipment should have explosion-proof construction. The consuming of liquefied natural gas(LNG) has markedly increased in the industrial field, especially in aspect of some thermoprocessing equipment, boiler, dryer, furnace, annealer, kiln, regenerative thermal oxidizer(RTO) and so on. Because it has many merits, clean fuel, safety, no transportation/storage facility and so on. It is strongly recommend that the classification of hazards has to be decided to prevent and protect explosion which may occur in thermoprocessing equipment. In this paper, the operated thermoprocessing equipments in industrial area investigated and explosion risk assessment about LNG leakage from its facilities was performed through numerical calculation and computer simulation. Finally, we suggest the systemic/technical approach for safety assessments of thermoprocessing equipments consumed LNG fuel which are specially subjected to classification of hazardous area.

• 반도체디스플레이기술학회지
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• 제19권4호
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• pp.121-125
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• 2020

With miniaturization of semiconductor, the manufacturing process become more complex, and undetected small changes in the state of the equipment have unexpectedly changed the process results. Fault detection classification (FDC) system that conducts more active data analysis is feasible to achieve more precise manufacturing process control with advanced machine learning method. However, applying machine learning, especially in supervised learning criteria, requires an arduous data labeling process for the construction of machine learning data. In this paper, we propose a semi-supervised learning to minimize the data labeling work for the data preprocessing. We employed equipment status variable identification (SVID) data and optical emission spectroscopy data (OES) in silicon etch with SF6/O2/Ar gas mixture, and the result shows as high as 95.2% of labeling accuracy with the suggested semi-supervised learning algorithm.

• 한국산학기술학회논문지
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• 제20권12호
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• pp.730-736
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• 2019

친환경 에너지원으로 고려되고 있는 천연가스의 수요가 증가하고 있고 이와 동시에 천연가스의 공급을 위한 대규모 파이프라인의 시장 규모 또한 지속적으로 증가하고 있다. 하지만, 이러한 대규모 파이프라인의 부식은 천연가스 운송의 효율성을 저하시킨다. 이에 본 연구는 천연가스 공급용 대규모 파이프라인을 위한 에너지 자립형 고효율 부식방지 기술에 대한 특허의 정량분석을 통해 관련 기술의 특허권 확보을 위한 전략을 수립하는데 목적을 두고 있다. 본 특허 기술동향 조사에서는, 2018년 6월까지 출원, 공개 및 등록된 한국, 미국, 일본 및 유럽 특허를 대상으로 분석하였으며, 전문가토의를 거쳐 기술분류체계 및 분류기준을 마련하였다. 천연가스 대규모 파이프라인의 부식방지를 위한 외부전원으로 연료전지를 이용하기 위해, 1) 파이프라인의 분기 구조와 설비 설계(감압기/압축기/열교환기) 그리고 2) 고압 천연가스의 감압/예열과 가압/냉각 기술을 구비하는 에너지 제어 시스템 및 방법으로 권리화를 시도해 볼 수 있을 것으로 기대된다.

• 센서학회지
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• 제22권4호
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• pp.286-291
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• 2013

This paper presents to analyze patterns from single and complex malodors using gas sensor array based on metal oxide semiconductors. The aim of research is to identify and discriminate single malodors such as $NH_3$, $CH_3SH$ and $H_2S$ and their mixtures according to concentration levels. Measurement system for analyzing patterns from malodors is constructed by an array of metal oxide semiconductor sensors which are available commercially together with associate electronics. The patterns from sensory system are analyzed by Principal Component Analysis (PCA) which is simple statistical pattern recognition technique. Throughout the experimental trails, we confirmed the experimental procedure for measurement system such as sensors calibration time and gas flow rate, and discriminated malodors using pattern analysis technique.