• Proceedings of the Korean Operations and Management Science Society Conference
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• 1998.10a
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• pp.181-181
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• 1998

• Journal of the Korean Operations Research and Management Science Society
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• v.18 no.1
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• pp.71-78
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• 1993

A Baysian approach is proposed is estimating the mission failure rates by criticalities. A mission failure which occurs according to a Poisson process with unknown rate is assumed to be classified as one of the criticality levels with an unknown probability. We employ the Gamma prior for the mission failure rate and the Dirichlet prior for the criticality probabilities. Posterior distributions of the mission rates by criticalities and predictive distributions of the time to failure are derived.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.1049-1052
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• 2008

보안위협은 날로 정교해지고 증가하고 있다. 이에 대응하는 인력과 정보보호인프라는 여러가지 한계점이 있다. 사람이 모든 걸 분석하기에는 그 양이, 보안인프라를 맹목적으로 신뢰하기에는 그 정확도가 문제가 된다. 이에 베이시안 기법을 이용하여 단편적인 분석이 아닌 여러 보안인프라의 오탐율과 상관관계를 고려한 공격판단 시스템을 구현하여 각 보안현상에 대한 공격여부를 판단함으로써 방대한 양과 정확도를 높이는 공격판단 시스템을 제안한다.

• Journal of Korean Society for Quality Management
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• v.13 no.1
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• pp.20-25
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• 1985

There are several approaches for dealing with the structural change in regression model, but by introducing a concept of Spline, the structural change can be expressed more clearly. This makes it possible not only to know the location where the structural change happens and the total number, but also to derive posterior distribution from anterior-posterior distribution when the probability of the judgement anterior for entire combination was given to each model, by which, the model that has the highest posterior probability is the method which realizes the structural change. The purpose of this study is to find a peculiarity of the posterior probability on the occasion of anterior information acquired and of not acquired with Baysian approach.

• Journal of the Korean Operations Research and Management Science Society
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• v.20 no.3
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• pp.105-122
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• 1995

Based on linear models, the inference about the true measurement x$_{f}$ and the optimal designs x (nx1) for the calibration experiments are considered via Baysian statistical decision analysis. The posterior distribution of x$_{f}$ given the observation y$_{f}$ (qxl) and the calibration experiment is obtained with normal priors for x$_{f}$ and for themodel parameters (.alpha., .betha.). This posterior distribution is not in the form of any known distributions, which leads to the use of a numerical integration or an approximation for the calculation of the overall expected loss. The general structure of the expected loss function is characterized in the form of a conjecture. A near-optimal design is obtained through the approximation nof the conditional covariance matrix of the joint distribution of (x$_{f}$ , y$_{f}$ $^{T}$ )$^{T}$ . Numerical results for the univariate case are given to demonstrate the conjecture and to evaluate the approximation.n.

• Journal of the Korea Computer Industry Society
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• v.3 no.5
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• pp.605-610
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• 2002

In this paper, we propose a Internet filtering tool which allows parents to manage their children's Internet access, block access to Internet sites they deem inappropriate. The other filtering tools which like Cyber Patrol, NCA Patrol, Argus, Netfilter are oriented only URL filtering or keyword detection methods. Thease methods are used on limited fields application. But our approach is focus on image color space model. First we convert RGB color space to HLS(Hue Luminance Saturation). Next, this HLS histogram learned by our classification method tools which include cohesion factor, naive baysian, N-nearest neighbor. Then we use voting for result from various classification methods. Using 2,000 picture, we prove that 2-layer voting result have better accuracy than other methods.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.5
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• pp.569-575
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• 2018

The need for ice-breaking research ships is growing as interest in the Arctic grows. In Korea the 7,500 ton ship Araon, launched in 2009, is the only icebreaker, and difficulty remains when conducting research at the North and South Pole. Thus, the Ministry of Maritime Affairs and Fisheries is pushing for the construction of a second icebreaker, and an economic valuation of a second icebreaker is needed. Such a study will help reduce controversy about the construction of a second icebreaker and help ensure reasonable decisions. The economic benefits of a second icebreaker were calculated using a contingent valuation method. In this study, a Bayesian Approach was applied, in contrast to previous methodology utilizing the maximum likelihood estimation method. According to this analysis, the average WTP per household was estimated at 1,999 won per year, and the total benefit from the construction of a second icebreaker was estimated at 373.9 billion won per year.

• The KIPS Transactions:PartB
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• v.9B no.6
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• pp.759-764
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• 2002

Although image occupies a large part of importance on the Web documents, there have not been many researches for analyzing and understanding it. Many Web images are used for carrying important information but others are not used for it. In this paper classify the Web images from presently served Web sites to erasable or non-erasable classes. based on machine learning methods. For this research, we have detected 16 special and rich features for Web images and experimented by using the Baysian and decision tree methods. As the results, F-measures of 87.09%, 82.72% were achived for each method and particularly, from the experiments to compare the effects of feature groups, it has proved that the added features on this study are very useful for Web image classification.

• Journal of Korean Society of Transportation
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• v.24 no.2 s.88
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• pp.157-168
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• 2006

Spatial detection system such as AVI, GPS, and Beacon etc. can provide spatial travel time only after a vehicle Passes through a road section. In this context, majority of the existing studies on the link travel time estimation area has focused on the arrival time-based link travel time estimation. rather than departure time-based link travel time estimation. Even if some of the researches on this area have developed departure time-based link travel time estimation algorithms, they are limited in that they are not applicable in a real-time mode. The objective of this study is to develop an departure time-based link travel time estimation algorithm which is applicable in a real-tine mode. Firstly, this study discussed the tradeoff between accuracy and timeliness of the departure time-based on-line link travel time estimates. Secondly, this study developed an departure time-based on-line link travel time estimation algorithm which utilizes the Baysian inference logic. It was found that the proposed approach could estimate departure time-based link travel times in a real-time context with an acceptable accuracy and timeliness.