• KEPCO Journal on Electric Power and Energy
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• v.4 no.2
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• pp.75-80
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• 2018

The smart city is developing an energy system efficiently through a common management of the city resource for the growth and a low carbon social. However, the smart city doesn't counter a verification effectively about a anomaly pattern detection when existing security technology (authentication, integrity, confidentiality) is used by fixed security key and key deodorization according to generated big data. This paper is proposed the "security nonce generation based on security nonce generation" for anomaly pattern detection of the adversary and a safety of the key is high through the key generation of the KDC (Key Distribution Center; KDC) for improvement. The proposed scheme distributes the generated security nonce and authentication keys to each facilities system by the KDC. This proposed scheme can be enhanced to the security by doing the external pattern detection and changed new security key through distributed security nonce with keys. Therefore, this paper can do improving the security and a responsibility of the smart city platform management data through the anomaly pattern detection and the safety of the keys.

• 한국초전도학회:학술대회논문집
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• v.13
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• pp.91-91
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• 2003

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.565-566
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• 2007

배전설비가 급증함에 따라 배전계통의 고장발생이 증가하게 되면 정전시간도 병행해서 늘어나게 되는 공급신뢰도의 문제를 보완하고자 '98년부터 배전자동화시스템을 도입하여 원격으로 고장구간을 파악하고 자동화개폐기를 제어하여 정전구간을 축소할 수 있게 되었다. 연구에서는 설비가 증가하고 있는 상황에서 배전계통의 개폐기를 어느 정도까지 자동화시켜야 배전선로의 신뢰도가 하락하게 되는지 각종 Data를 토대로 분석하여 최소치를 규명하였고, 이것은 향후 해외 전력회사의 배전자동화에서 적용할 수 있는 모델로 활용이 가능할 것으로 판단된다.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.2028-2029
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• 2007

대표적인 전기설비 중의 하나인 보호배전반을 대상으로 6 자유도 진동시험대를 이용하여 입증시험과 파괴한도시험을 통해 보호배전반의 내진성능을 평가하였다.

• Nuclear Engineering and Technology
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• v.49 no.6
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• pp.1211-1218
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• 2017

Monte Carlo neutron transport codes generally use the method of successive generations to converge the fission source distribution to-and then maintain it at-the fundamental mode. Recently, a phenomenon called "clustering" has been noted, which produces fission distributions that are very far from the fundamental mode. In this study, a mathematical model of clustering in Monte Carlo has been developed. The model draws on previous work for continuous-time birth-death processes, as well as methods from the field of population genetics.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.20 no.3
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• pp.1074-1082
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• 1996

• Communications for Statistical Applications and Methods
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• v.15 no.5
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• pp.765-774
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• 2008

In this paper, we derive the approximate maximum likelihood estimators(AMLEs) and maximum likelihood estimator of the scale parameter in a triangular distribution based on progressive Type-II censored samples. We compare the proposed estimators in the sense of the mean squared error through Monte Carlo simulation for various progressive censoring schemes.

• Journal of the Korean Data and Information Science Society
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• v.19 no.3
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• pp.951-957
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• 2008

We derive some approximate maximum likelihood estimators(AMLEs) and maximum likelihood estimator(MLE) of the scale parameter in the half-triangle distribution based on progressively Type-II censored samples. We compare the proposed estimators in the sense of the mean squared error for various censored samples. We also obtain the approximate maximum likelihood estimators of the reliability function using the proposed estimators. We compare the proposed estimators in the sense of the mean squared error.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.422_423
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• 2009

DNP 3.0 is the most widely used data communication protocol for electric power control systems. KEPCO(Korea Electric Power Corporation) also uses DNP 3.0 as a data transmission protocol for the DAS(Distribution Automation System) and the SCADA system of the transmmission system. But DNP 3.0 is one of the oldest industrial standard having many restrictions and there are many considerations for optimal design of DNP 3.0 network for the Distribution Automation System.

• Journal of the Korean Data and Information Science Society
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• v.18 no.3
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• pp.817-826
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• 2007

In this paper, we derive the approximate maximum likelihood estimators of the scale parameter and the location parameter in a generalized extreme value distribution under multiply Type-II censoring by the approximate maximum likelihood estimation method. We compare the proposed estimators in the sense of the mean squared error for various censored samples.