• Journal of the Korea Society of Computer and Information
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• v.12 no.6
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• pp.89-96
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• 2007

Finite failure NHPP models presented in the literature exhibit either constant. monotonic increasing or monotonic decreasing failure occurrence rates per fault. Accurate predictions of software release times. and estimation of the reliability and availability of a software product require quality of a critical element of the software testing process : test coverage. This model called Enhanced non-homogeneous Poission process(ENHPP). In this paper, exponential coverage and S-type model was reviewed, proposes modified(the superosition and mixture) model, which make out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method. model selection based on SSE statistics for the sake of efficient model, was employed.

• Proceedings of the Korean Reliability Society Conference
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• 2000.11a
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• pp.229-233
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• 2000

본 Study는 휴대용 CST Deck부의 신뢰성 개선/보증활동 중에서 출하수명 보증을 위해 개발한 가속시험에 관한 것이다. 휴대용 CST의 사용 환경과 Deck부의 고장 특성을 고려하여 진동 Stress를 가속 인자로 검토하였고, 예비 시험을 통해 타당성을 확인하였다. 3 수준에서 실시한 수명 Data를 역거듭 제곱 모형을 적용하여 사용자 수준에서의 신뢰성 정보를 추정하였고, 이를 시장 Data와 비교하여 모형의 타당성을 검토하였다. 3 수준 중에서 가장 Stress가 높은 수준에서의 시험을 출하 수명 보증 시험으로 선정하였고, 이 때 가속 효과는 약 55배인 것으로 추정된다.

• Journal of the Korea Computer Industry Society
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• v.6 no.5
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• pp.689-696
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• 2005

Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, Goel-Okumoto and Yamada-Ohba-Osaki model was reviewed, proposes the Kappa(2) reliability model, which can capture the nomotonic decreasing nature of the failure occurrence rate per fault. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on sum of the squared errors and Kolmogorov distance, for the sake of efficient model, was employed. Analysis of failure using real data set, SYS2(Allen P.Nikora and Michael R.Lyu), for the sake of proposing two parameter of the Kappa distribution, was employed. This analysis of failure data compared with the Kappa model and the existing model using arithmetic and Laplace trend tests, bias tests is presented.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.6
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• pp.483-490
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• 2015

There are many software reliability models that are based on the times of occurrences of errors in the debugging of software. It is shown that it is possible to do likelihood inference for software reliability models based on finite failure model and non-homogeneous Poisson Processes (NHPP). For someone making a decision about when to market software, the conditional failure rate is an important variables. The infinite failure model are used in a wide variety of practical situations. Their use in characterization problems, detection of outlier, linear estimation, study of system reliability, life-testing, survival analysis, data compression and many other fields can be seen from the many study. Statistical process control (SPC) can monitor the forecasting of software failure and thereby contribute significantly to the improvement of software reliability. Control charts are widely used for software process control in the software industry. In this paper, proposed a control mechanism based on NHPP using mean value function of Musa-Okumo and Power law type property.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.151-151
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• 2016

하천 유역의 수자원관리에 있어서 홍수 및 가뭄 기간에 유출의 규모와 빈도와 같은 유출특성을 신뢰할 수 있도록 예측하는 것은 매우 중요하다. 수문모형은 이러한 유역의 신뢰성 있는 유출량 예측을 위해 이용되며, 수문모형의 결과물은 수문순환 과정의 공간적 표출이나 매개변수 추정방법 등 다양한 요인에 매우 민감하게 반영된다. 대부분의 수문모형 매개변수들은 해당 유역의 특성이나, 홍수 및 가뭄과 같은 극단적 유출상황에 따라 설정되어 있지 못한 실정이며, 이는 모형의 신뢰성 있는 보정 및 유출량 모의를 보다 정밀하게 수행하지 못하는 원인으로 작용하게 된다. 본 연구의 목적은 SWAT(Soil and Water Assessment Tool) 모형을 이용하여 유역의 하천 유출량을 모의함에 있어서 홍수 및 가뭄년, 평년의 유출특성이 모형의 매개변수 추정에 미치는 영향을 분석하고자 하는 것이다. 이를 위해, 안성천 유역($1,658.7km^2$)을 대상으로 유역 내 3지점의 기상관측소(이천, 수원, 천안)를 대상으로 40년(1976~2015)동안의 일 기상자료를 수집하여 SWAT 모형을 구축하였다. 홍수년 및 가뭄년, 평년을 포함하는 선별된 기간에 대하여 다양한 목적함수($R^2$, NSE, RMSE, PBIAS)를 활용하여 각각의 조합된 기간의 극단적 유출특성에 초점을 맞추어 검보정을 수행하였다. 이후 홍수년 및 가뭄년, 평년을 포함하는 선별된 기간에서의 유출량의 규모와 빈도에 영향을 미치는 매개변수를 도출하고 민감도를 평가하였다.

• Journal of the Earthquake Engineering Society of Korea
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• v.7 no.2
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• pp.93-102
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• 2003

A technique for the seismic reliability evaluation of electric power transmission network system(EPTS) was developed to evaluate reliability indices corresponding to the whole network system and to each node within. A network model with nodes and links for EPTS was established, and a seismic substation fragility curve obtained from seismic fragilities of power system facilities was derived. A point source model, the doubly truncated Gutenberg-Richter relationship, and earthquake intensity attenuation formula was applied to simulate seismic events. Using Monte-Carlo simulation method, the seismic reliability of EPTS was evaluated and, it appeared that seismic effect on EPTS of korea has to be considered.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.169-173
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• 2009

돌발홍수는 급격한 경사와 많은 불투수층을 포함하고 있는 좁은 지역에서 짧은 지속기간의 강우강도를 가진 큰 강우가 내리는 경우 발생한다. 이러한 돌발홍수가 발생할 수 있는 강우의 양을 파악하기 위해서 돌발홍수기준(Flash Flood Guidance)을 산정하여 활용하고 있다. 돌발홍수기준은 수문모형으로부터 도출되는 강우-유출관계곡선에서 한계유출량에 대응되는 강우량을 의미한다.따라서 강우-유출관계가 갖고 있는 불확실성(uncertainty)을 최소화 할수록 돌발홍수기준을 정확하게 산정할 수 있으며, 수문모형은 각각 고유의 매개변수와 특성을 갖고 있으므로 어떠한 수문모형을 사용하여 강우-유출관계를 도출하느냐에 따라 불확실성의 정도가 크게 좌우된다. 본 연구에서는 네 개의 수문모형(HEC-HMS 모형, 저류함수모형, SSARR 모형, TANK 모형)의 모의값에 Monte Carlo 모의 방법을 적용하여 네 개의 수문모형에 대한 신뢰구간을 추정하여 제시하였다.

• Journal of the Korea Society of Computer and Information
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• v.12 no.5
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• pp.243-251
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• 2007

The purpose of this study propose and empirically assessed Internet Banking success model. This was derived through an analysis of the quality evaluation factors of Internet Banking services and review of TAM model, IS success model, e-Commerce success model literature. The research model consists of exogenous variables(ease of use, economic benefits, safety) and endogenous variables (usefulness, user satisfaction, trust, behavioral intention to use). The analysis results revealed that ease of use is a very significant factor influencing usefulness and user satisfaction, trust. Safety is a significant factor influencing trust. Economic benefits and usefulness, trust are significant factors influencing user satisfaction. Usefulness and user satisfaction are significant factors influencing behavioral intention to use. This study provide the initiative of Internet Banking success model. Internet banking firms will support the competitive service through strategic qualify evaluation and improvement using Internet Banking success model.

• Convergence Security Journal
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• v.7 no.3
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• pp.7-13
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• 2007

Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. Accurate predictions of software release times, and estimation of the reliability and availability of a software product require quantification of a critical element of the software testing process : test coverage. This model called Enhanced non-homogeneous poission process (ENHPP). In this paper, exponential coverage and S-shaped model was reviewed, proposes the superposition model, which maked out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE statistics for the sake of efficient model, was employed.

• Convergence Security Journal
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• v.8 no.4
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• pp.115-120
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• 2008

Accurate predictions of software release times, and estimation of the reliability and availability of a software product require quantification of a critical element of the software testing process： Change-point problem. In this paper, exponential (Goel-Okumoto) model was reviewed, proposes the percentile change-point problem, which maked out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE statistics, for the sake of efficient model, was employed. Using NTDS data, The numerical example of percentilechange-point problemi s presented.