It was confirmed that the extreme value distribution model applies to probability of exceeding more than once a day monthly the facility capacities using data of daily maximum inflow rate for 7 wastewater treatment plant. The result of applying the extreme value model, A, D, E wastewater treatment plant has a problem compared to B, C, F, G wastewater treatment plant. but all the wastewater treatment plant has a problem except C, F wastewater treatment plant based 80% of facility capacity. In conclusion, if you make a standard in statistical aspects probability exceeding more than once a day monthly can be ‘exceed day is less than a few times annually’ or ‘probability of exceeding more than once a day monthly is less than what percent’.

감단율법은 벌기령의 평균과 분산을 기반으로 한 수확예측기법으로서, 본 연구에서는 감단율 기법중 의 하나인 벌채면적 가중치법(FAW)과 벌채면적 비율가중치법(FARW)을 적용하여 강원도의 산림경영계 획수립을 위한 30년간(1분기=10년)의 벌채계획량을 추정하였다. 감단율 추정을 위하여 임업통계연보의 10년간(1999년-2008년) 산림면적변화량을 벌채면적으로 가정하여 적용하였으며, FAW와 FARW에 의한 벌기령의 평균과 분산은 각각 4.63, 0.78와 5.18, 0.80였다. 또한, 계획기간동안의 벌채량은 각각 383,597ha와 344,315ha로 예측되었으며, FAW와 FARW에 의하여 추정된 벌채면적과 임업통계연보의 산림면적변화량을 비교한 결과, FAW에 의한 벌채량은 FARW보다 적합도지수가 우수하였다. 또한, FAW에 의한 분기별 벌채변화량은 서서히 증가하는 반면, FARW은 3분기에 급격히 하였다. 따라서, 본 연구에서는 FAW에 의한 벌채계획모델이 FARW보다 적합한 것으로 판단된다.

In order to achieve success in ground operations, searching for moving targets is one of critical factors. Usually, the system of searching for adversary ground moving targets has complex properties which includes target’s moving characteristics, camouflage level, terrain, weather, available search time window, distance between target and searcher, moving speed, target’s tactics, etc. The purpose of this paper is to present a practical quantitative method for effectively searching for infiltrated moving targets considering aforementioned complex properties. Based upon search theories, this paper consists of two parts. One is infiltration route analysis, through terrain and mobility analysis. The other is building dynamic probability maps through Monte Carlo simulation to determine the prioritized searching area for moving targets. This study primarily considers ground moving targets’ moving pattern. These move by foot and because terrain has a great effect on the target’s movement, they generally travel along a constrained path. With the ideas based on the terrain’s effect, this study deliberately performed terrain and mobility analysis and built a constrained path. In addition, dynamic probability maps taking terrain condition and a target’s moving speed into consideration is proposed. This analysis is considerably distinct from other existing studies using supposed transition probability for searching moving targets. A case study is performed to validate the effectiveness and usefulness of our methodology. Also, this study suggests that the proposed approach can be used for searching for infiltrated ground moving target within critical time window. The proposed method could be used not only to assist a searcher’s mission planning, but also to support the tactical commander’s timely decision making ability and ensure the operations’ success.

The purpose of this study is to find suitable probability distribution function of complex distribution data like multimodal. Normal distribution is broadly used to assume probability distribution function. However, complex distribution data like multimodal are very hard to be estimated by using normal distribution function only, and there might be errors when other distribution functions including normal distribution function are used. In this study, we experimented to find fit probability distribution function in multimodal area, by using AIS(Automatic Identification System) observation data gathered in Mokpo port for a year of 2013. By using chi-squared statistic, gaussian mixture model(GMM) is the fittest model rather than other distribution functions, such as extreme value, generalized extreme value, logistic, and normal distribution. GMM was found to the fit model regard to multimodal data of maritime traffic flow distribution. Probability density function for collision probability and traffic flow distribution will be calculated much precisely in the future.

구조물의 내용연수 동안 예상되는 지진에 대한 피해와 손실을 최소화하는 것이 내진설계의 최종적인 목표로 볼 수 있다. 이러한 목표를 만족시키기 위한 개념으로 지진하중에 대한 구조물의 손상확률을 나타내는 지진취약도를 작성하여 지진에 대한 구조물의 확률론적 성능평가를 수행한 후, 해당 지역에서 발생 가능한 지진에 대한 연간 초과확률로 표현되는 지진위험도를 활용하여 연간 손실 발생확률을 산정하는 절차를 제시한다. 본 연구는 미국 강진지역의 지진하중을 고려하여 설계된 철골모멘트골조에 대해 취약도를 정량적으로 평가하고 연간 손실 발생확률을 예측하다. 또한 HAZUS의 철골모멘트골조 대표건축물에 대한 손실 평가결과를 비교하였으며, 그 결과 HAZUS에 의한 연간손실이 보수적으로 산정됨을 알 수 있었다. 제시된 방법으로부터 해당 구조물의 내진성능 및 연간 손실 평가를 할 수 있으며, 향후 관련 연구에 활용할 수 있을 것으로 판단된다.

This study was to present the proper probability distribution models that based on the data for surveys of food cold storage temperatures as the input variables to the further MRA (Microbial risk assessment). The temperature was measured by directly visiting 7 food plants. The overall mean temperature for food cold storages in the survey was 2.55 ± 3.55oC, with 2.5% of above 10oC, −3.2oC and 14.9oC as a minimum and maximum. Temperature distributions by space-locations was 0.80 ± 1.69oC, 0.59 ± 1.68oC, and 0.65 ± 1.46oC as an upper (2.4~4 m), middle (1.5~2.4 m), and lower (0.7~1.5 m), respectively. Probability distributions were also created using @RISK program based on the measured temperature data. Statistical ranking was determined by the goodness of fit (GOF) to determine the proper probability distribution model. This result showed that the LogLogistic (−4.189, 5.9098, 3.2565) distribution models was found to be the most appropriate for relative MRA conduction.

Dispersion characteristics of respiratory droplets are important in controlling transmission of airborne diseases indoors. This study investigated the spatial concentration distribution and temporal evolution of exhaled and sneezed/coughed droplets in a ventilated hospital ward. The viability function of airborne bacteria was experimentally determined and encorporated into an air infection model with calculated results to estimate exposures and infection probability to the bacteria. The diffusion, gravitational settling and deposition mechanism of particulate matter were accounted by using an Eulerian modeling approach. The simulation results indicated that the ventilation flow was found to play a significant role in aerosol transport, leading to different spatial distribution patterns in infection droplet. The smaller size of infection droplet caused higher chance of ventilation from the outlet. The possibility of the proposed exposure estimation into the dose–response model for infection risk assessment was discussed. The infection probability is broadly different from 10^-6 to 7.2% by receptor's position and location and size of infection droplet conditions.

The research presents a guideline for quality practitioners to provide a full comprehension of differences in theoretical and practical interpretations of assumed sampling errors of and significance probability of calculated p-value. Besides, the study recommends the use of statistical inferences methods with known parameters to identify the improvement effects. In practice, the quality practitioners obtain the known parameters through systematic quality Database (DB) activities.