The major issue in aircraft industry is aviation safety management because of demand improvement and advancement of the aircraft. This study is to assess the risks for aviation safety management using IRPN( importance-risk priority number) which is added to importance coefficient from RPN(risk priority number). In FMEA, RPN requires the factors like the occurrence (O), Severity (S), and Detection (D) of each failure mode to be precisely evaluated. Therefore, the severity and detection is derived by the value from FMEA of expert group based on the Fuzzy theory. The occurrence is calculated from the accident statistics of IATA(international air transport association) database. Particularly, this study introduces importance coefficient to prevent from RPN distortions. It is also derived from FMEA based on the Fuzzy theory. Finally, the critical ranking of risk factors according to I-RPN is compared with the existing research.

  Most organizations have recently put more emphasis on the improvement in service quality. This phenomenon could come from the recognition that service quality plays an essential role in enhancing organization"s business performance. Hence this paper pre

In this paper we extend the classical decision model under uncertainty to a more general case. We propose an expected utility-uncertainty model and we can make a decision by trading off between a measure of uncertainty and a measure of expected value. As a risk analysis model, the expected utility-uncertainty model can be seen to be reasonable and flexible for states of nature or individuals' preferences. Moreover, the model can explain some decision paradoxes.

In this paper we extend the classical decision model under uncertainty to a more general case. We propose an expected utility-uncertainty model and we can make a decision by trading off between a measure of uncertainty and a measure of expected value. As a risk analysis model, the expected utility-uncertainty model can be seen to be reasonable and flexible for states of nature or individuals' preferences. Moreover, the model can explain some decision paradoxes.

Intrusion Detection System (IDS) is intended to detect anomalous usages or attacks on system and network. Even though many IDS models have been developed, they still may have problems, such as involvement of components contaminated by anomalous process, in detecting anomalous behavior patterns. To distinguish anomalous patterns from normal patterns, we propose a Bayesian approach which includes the presentation of the relations among normal pattern components.

본 논문은 논산천 유역의 중소하천을 대상으로 평·갈수기와 홍수기로 구분하여 현장에서 유량 및 부유사량을 실측하고, 그 자료를 분석하였다. 평·갈수기의 유량과 부유사량 측정에는 프로펠러형 유속계 및 DH-48 수심 적분형 부유사 채취기를 사용하였고, 홍수기에는 전자파 표면 유속계 및 D-74 채취기를 각각 사용하였다. 이들 측정은 논산천 유역 내 4개의 중소하천 7개 측점에서 2012년 8월부터 2013년 8월까지 이루어졌고, 측정 자료 분석결과는 멱법칙의 유량-부유사량 관계식으로 도출하였다. 본 연구 결과는 수공 실무에 유용하게 사용될 것이다.