• Proceedings of the Safety Management and Science Conference
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• 2010.04a
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• pp.573-585
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• 2010

최근 철도차량은 안전성과 신뢰성 향상을 위해 점차 복잡하게 설계 제작되고, 품질에 대한 기대와 요구수준이 점차 높아짐에 따라 운영기관에서는 과학적이고 체계적인 예방 정비를 통한 안전성과 가용성 향상을 위해 노력하고 있다. 이러한 목적을 달성하기 위하여 여러 방안들이 연구되고 있으며, 대표적으로 신뢰성 기반 유지보수(RCM; Reliability Centered Maintenance)가 철도분야에 지속적으로 도입되고 있는 추세이다. 본 연구에서는 새로운 예방정비 기술로 대두되고 있는 RCM의 기본이론에 대한 고찰과 RCM의 일반적 실시 절차를 소개하고, RCM의 국제규격인 IEC 60300-3-11, NAVAIR 00-25-403, MIL-STD-2173을 비교 분석하여 이를 바탕으로 철도차량에 RCM 도입 시 효과적이고 적합한 절차 및 방안을 제시하고자 한다.

• Bulletin of the Korean Space Science Society
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• 2009.10a
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• pp.50.2-50.2
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• 2009

지구관측위성의 광학탑재체 내부에 장착된 초점면결상장치(FPA, Focal Plane Assembly)는 영상촬영시 많은 열을 발생하며, 최상성능획득을 위해서는 온도가 좁은 온도범위 내에서 유지되어야 한다. 초점면결상장치가 짧은 시간 동안 많은 열을 발생할 때, 이를 효과적으로 냉각시키기 위해 보통 히트파이프와 복사방열판을 이용한다. 이번 연구에서는 초점면결상장치의 최대상승온도를 낮추고, 영상촬영대기시 최적온도유지를 위한 히터작동율을 낮추기 위해 초점면결상장치와 복사방열판 사이에 열완충질량(TBM, Thermal Buffer Mass)을 적용하였는데, 이를 통해 얻을 수 있는 열설계 개선효과에 대해서 기술한다.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10e
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• pp.316-318
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• 2002

멀티캐스트를 처리하기 위해서는 멀티캐스트 라우팅과 신뢰성 있는 전송을 위한 기법이 필요하다. 신뢰성 있는 전송에서는 손실된 패킷에 대한 재전송을 하며 이때 재전송 버퍼에 패킷들을 저장하고 있어야만 재전송이 가능하므로 얼마만큼의 패킷을 재전송을 위해 저장하고 있을 것인가 하는 문제가 있을 수 있다. 이 문제를 해결하기 위해 본 논문에서는 멀티캐스트 트리 상의 응답자와 수신자들 사이의 NAK를 이용해서 얻어진 타이머 값을 기준으로 하여 적정량의 버퍼만을 유지하고 상황 변화에 동적으로 대응할 수 있는 TBM (Timer-based Buffer Management) 기법을 제안하며, 실험을 통하여 오류가 발생하는 환경이나 망의 크기 등에 상관없이 버퍼를 능동적으로 관리하는 것을 보인다.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.424-442
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• 2005

In this paper a design of a large shield Tunnel through weathered soil and weathered rock in 703 section of seoul subway line No.7 extension project is presented. The geological investigation results show that the projecet region consists mostly of weathered soil with some local weathered rock in the tunnel excavation level. A EPB shield TBM is selected as a optimal excavation machine for the large shield Tunnel considering the geological and site conditions. Also, the shield machine head and cutter for the large shield tunnel type are designed considering site geological conditions and average advance rate in similar projects.

• Proceedings of the Korean Society of Life Science Conference
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• 2003.10a
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• pp.101-101
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• 2003

• Proceeding of EDISON Challenge
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• 2013.04a
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• pp.13-24
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• 2013

Dopamine agonists and antagonists and its receptor play a critical role in the information transfer in the nervous system, and dopamine receptor-ligands interactions are deeply related to Parkinson's disease, schizophrenia and some other mental diseases. However, the only experimental 3D structure available for dopamine receptors is human D3 dopamine receptor. Therefore, it is important to create model of subtype dopamine receptor-ligands interactions. We report here the 3D structures of the human D1 and D2 dopamine receptor predicted by using GalaxyTBM, and its predicted binding site determined by using GalaxyDock. The highly conserved Asp on TM 3 and Phe on TM 6 have critical role in ligand binding. Also, highly conserved serines on TM 5 are essential for binding agonists and some kinds of antagonists. We identify differences between binding sites of agonists and antagonists of human D1 and D2 dopamine receptor, and find the reasons of selective binding of antagonists.

• Proceeding of EDISON Challenge
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• 2016.03a
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• pp.86-89
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• 2016

The Zika virus, which is a member of the flavivirus genus, poses a serious threat to humanity because there is no vaccine or cure. Zika is suspected to cause microcephaly, and it is rapidly spreading throughout parts of Brazil. Surprisingly, there are no known protein structures for the virus which are essential for drug and vaccine development. This paper investigates the Zika virus's nonstructural proteins with template-based modeling by using GalaxyTBM/Refine/SC. GalaxyDock was used to examine the effectiveness of various known serine protease inhibitors in inhibiting the Zika viral protease. In testing five inhibitors, Kunitz soybean trypsin inhibitor showed the strongest binding affinity (-10.082 kcal/mol). This paper provides a rudimentary foundation for further drug discovery research regarding the Zika virus.

• Journal of the Korean Society of Safety
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• v.18 no.3
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• pp.54-59
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• 2003

The discharge energy by electrostatic discharge of the charged human body is calculated under the assumption that the stored charge is dissipated completely. However, it is well-known that the charge is slightly remained after electrostatic discharge. Therefore, The Rompe-Weisel model of the discharge analysis, which has somewhat more of a physical justification than the conventional energy equation, is proposed. It is proposed that the electrical conductivity of the arc should be proportional to the energy density transferred to it by Ohmic dissipation. For the electrostatic discharge energy analysis, the Rompe-Weisel model was compared by quasi static analysis. As a consequence, a study on a reliable energy evaluation based on simulation models during electrostatic discharge is carried out in this paper and is adopted to estimate the explosion hazards of flammable gases.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.235-240
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• 2008

Since urban railway transit is one of the most essential transportation systems, its power facilities must ensure high reliability and safety. Currently, urban railway operating organizations perform TBM (Time Based Maintenance) on power facilities. However, in order to improve management efficiency and system safety, CBM (Condition Based Maintenance) is preferred. Among various power facilities, mold transformers has been chosen as the object of study since it is widely used for the purpose of minimizing volume and weight, and due to safety against fire. In this paper, various transformer failure cases due to electric, thermal, mechanical and environmental factors have been collected and analyzed. In addition, investigation on national and international condition based maintenance cases and the characteristics of sensors widely used for transformer monitoring has been performed to suggest the optimal condition based maintenance technique for urban railway systems.

• Geomechanics and Engineering
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• v.29 no.3
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• pp.219-228
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• 2022

The most widely used parameter to represent rock abrasiveness is the Cerchar abrasivity index (CAI). The CAI value can be applied to predict wear in TBM cutters. It has been extensively demonstrated that the CAI is affected significantly by cementation degree, strength, and amount of abrasive minerals, i.e., the quartz content or equivalent quartz content in rocks. The relationship between the properties of rocks and the CAI is investigated in this study. A database comprising 223 observations that includes rock types, uniaxial compressive strengths, Brazilian tensile strengths, equivalent quartz contents, quartz contents, brittleness indices, and CAIs is constructed. A linear model is developed by selecting independent variables while considering multicollinearity after performing multiple regression analyses. Machine learning-based regression methods including support vector regression, regression tree regression, k-nearest neighbors regression, random forest regression, and artificial neural network regression are used in addition to multiple linear regression. The results of the random forest regression model show that it yields the best prediction performance.