In order to indirectly evaluate the inventory of difficult-to-measure (DTM) nuclides in radioactive waste, the scaling factor method by key nuclide has been used. It has been usually applied to low-and intermediate-level dry active waste (DAW), and the tolerance of 1,000% margin of error in the US, that is the factor of 10, is applied as an allowable confidence limits considering the inhomogeneity of the waste and the limitation of sample size. This is because the scaling factor method is based on economic efficiency. Confidence limits is the uncertainty (sampling error) according to predicting the mean value of the population by the mean value of the sample at 95% confidence level, reflecting the limitations of sample size (representation) with the standard deviation. If the standard deviation is large, the sample size can be increased to satisfy the allowable confidence limits. In the new nuclear power plants, the concentration of cesium nuclide (137Cs) in radioactive waste tends to be very low due to advances in nuclear fuel and reactor core management technology, which makes it very difficult to apply cesium as a key nuclide. In addition, it is inevitable to apply the mean activity concentration method, which reasonably and empirically derives the concentration of DTM nuclides regardless of key nuclide, when the correlation between key and DTM nuclides is not significant. The mean activity method is a methodology that applies the average concentration of a sample set to the entire population, and is similar to applying the average concentration ratio between key and DTM nuclides of a sample set to the population in the scaling factor method. Therefore, in this paper, the maximum acceptable uncertainty (confidence limits) at a reasonable level was studied when applying the mean activity concentration method by arithmetic mean unlike the scaling factor method which usually uses the geometric mean method. Several measures were proposed by applying mutatis mutandis the acceptable standard deviation in radiation measurement and the factor of 10 principle, etc., and the appropriateness was reviewed through case analysis.

오늘날 선박국적의 가장 큰 특징은 선박소유자의 국적과 선박의 국적이 서 로 다를 수 있으며, 이것이 편의치적제도(Flags of convenience, 이하 ‘FOC’라 함)라는 명분으로 허용되고 있다는 점이다. 그런데 선박은 국제항해를 통한 국 가 간의 이동이 매우 잦기 때문에 국적의 확인이 매우 수시로 이루어진다. 국적의 확인은 전통적으로 선박에 게양된 국기의 국적을 인지하는 방식으로 이루어져 왔다. 그런데 전파항해의 발전과 통신의 안전을 목적으로 해상이동업 무식별부호가 만들어지고 국제해사기구(International Maritime Organization, 이 하 ‘IMO’라 함)에서 국제해운에 종사하는 선박을 대상으로 AIS(Automatic Identification System) 설치가 의무화되면서 선박의 국적식별수단이 선박에 게 양된 국기에서 해상이동업무식별부호 내의 국적을 나타내는 코드인 해상식별 부호로 변화하게 되었다. 그러나 해상식별부호를 통한 선박국적의 식별은 유엔해양법협약에 언급된 국적증명수단이 아니기 때문에 실제 분쟁에서 국적확인 수단으로 인정받을 수 있는지 모호하다. 이러한 의문은 AIS 송출 신호상의 국적으로 선박국적을 식별 하고 있는 현재의 국가실행과 괴리가 있다고 볼 수 있다. 또한 제재대상 국가 의 선박이 해당 부호를 무단으로 변경할 수 있기 때문에 선박의 식별이 더욱 어려워지고 있다. 이를 해결하기 위해서는 먼저 해상이동업무식별부호 내의 국적정보인 해상 식별부호의 효력을 명확히 할 필요가 있고, 해상이동업무식별부호를 교호로 사 용하거나 무단으로 변경하는 경우에 대한 규제조치를 마련할 필요가 있다.

Machines and facilities are physically or chemically degenerated by continuous usage. The representative type of the degeneration is the wearing of tools, which results in the process mean shift. According to the increasing wear level, non-conforming products cost and quality loss cost are increasing simultaneously. Therefore, a preventive maintenance is necessary at some point . The problem of determining the maintenance period (or wear limit) which minimizes the total cost is called the ‘process mean shift problem’. The total cost includes three items: maintenance cost (or adjustment cost), non-conforming cost due to the non-conforming products, and quality loss cost due to the difference between the process target value and the product characteristic value among the conforming products. In this study, we set the production volume as a decreasing function rather than a constant. Also we treat the process variance as a function to the increasing wear rather than a constant. To the quality loss function, we adopted the Cpm+, which is the left and right asymmetric process capability index based on the process target value. These can more reflect the production site. In this study, we presented a more extensive maintenance model compared to previous studies, by integrating the items mentioned above. The objective equation of this model is the total cost per unit wear. The determining variables are the wear limit and the initial process setting position that minimize the objective equation.

This study was conducted to determine the possibility of estimating the daily mean temperature for a specific location based on the climatic data collected from the nearby Automated Synoptic Observing System (ASOS) and Automated Weather System(AWS) to improve the accuracy of the climate data in forage yield prediction model. To perform this study, the annual mean temperature and monthly mean temperature were checked for normality, correlation with location information (Longitude, Latitude, and Altitude) and multiple regression analysis, respectively. The altitude was found to have a continuous effect on the annual mean temperature and the monthly mean temperature, while the latitude was found to have an effect on the monthly mean temperature excluding June. Longitude affected monthly mean temperature in June, July, August, September, October, and November. Based on the above results and years of experience with climate-related research, the daily mean temperature estimation was determined to be possible using longitude, latitude, and altitude. In this study, it is possible to estimate the daily mean temperature using climate data from all over the country, but in order to improve the accuracy of daily mean temperature, climatic data needs to applied to each city and province.

Machines and facilities are physically or chemically degenerated by continuous usage. One of the results of this degeneration is the process mean shift. The representative type of the degeneration is wear of tool or machine. According to the increasing wear level, non-conforming products cost and quality loss cost are increasing simultaneously. Therefore a periodic preventive resetting the process is necessary. The total cost consists of three items: adjustment cost (or replacement cost), non-conforming cost due to product out of upper or lower limit specification, and quality loss cost due to difference from the process target value and the product characteristic value among the conforming products. In this case, the problem of determining the adjustment period or wear limit that minimizes the total cost is called the ‘process mean shift’ problem. It is assumed that both specifications are set and the wear level can be observed directly . In this study, we propose a new model integrating the quality loss cost, process variance, and production volume, which has been conducted in different fields in previous studies. In particular, for the change in production volume according to the increasing in wear level, we propose a generalized production quantity function g(w). This function can be applied to most processes and we fitted the g(w) to the model. The objective equation of this model is the total cost per unit wear, and the determining variables are the wear limit and initial process setting position that minimize the objective equation.

In this paper, the mean and fluctuating pressure coefficients derived from the results of wind tunnel tests on closed and open dome roofs were analyzed. The distribution characteristics of the fluctuating pressure according to the opening ratio and the height change were discussed. The analysis results showed that when the roof is open, the overall wind pressure decreases due to the open space, but more fluctuation occurred than the closed dome roof.

All machines deteriorate in performance over time. The phenomenon that causes such performance degradation is called deterioration. Due to the deterioration, the process mean of the machine shifts, process variance increases due to the expansion of separate interval, and the failure rate of the machine increases. The maintenance model is a matter of determining the timing of preventive maintenance that minimizes the total cost per wear between the relation to the increasing production cost and the decreasing maintenance cost. The essential requirement of this model is that the preventive maintenance cost is less than the failure maintenance cost. In the process mean shift model, determining the resetting timing due to increasing production costs is the same as the maintenance model. In determining the timing of machine adjustments, there are two differences between the models. First, the process mean shift model excludes failure from the model. This model is limited to the period during the operation of the machine. Second, in the maintenance model, the production cost is set as a general function of the operating time. But in the process mean shift model, the production cost is set as a probability functions associated with the product. In the production system, the maintenance cost of the equipment and the production cost due to the non-confirming items and the quality loss cost are always occurring simultaneously. So it is reasonable that the failure and process mean shift should be dealt with at the same time in determining the maintenance time. This study proposes a model that integrates both of them. In order to reflect the actual production system more accurately, this integrated model includes the items of process variance function and the loss function according to wear level.

본 연구는 한반도에서 Proto3 모형을 수행하기 위하여 필요한 3가지 기후인자 지도, 1. 식물 내한성 구역, 2. 쾨펜- 가이거 기후구, 3. 연누적강수량 영역에 대한 한반도 지도를 1 km 해상도로 제작하였다. Worldclim V2와 한반도 30 년 평균 기상대 데이터를 이용하여 한반도 최저극값온도 격자를 제작하였으며, 이를 활용하여 한반도 식물 내한성 구역 격자지도를 제작하여 Proto3에 이용하였다. 쾨펜-가 이거 기후구 지도는 Beck et al. (2018)의 쾨펜-가이거 기후구 지도를 Proto3에 적합하게 변형하였으며, 연누적강수량 영역은 Worldclim V2를 활용하여 제작하였다. 제작된 Proto3 기후 인자 지도를 활용하여 외래잡초 별나팔꽃의 정착 확산 가능 지역을 예측한 결과, 남한 대부분의 지역과 북한의 황해도를 포함한 남쪽 지방까지 전체 한반도 격자의 50.7%가 정착, 확산 가능지역으로 예측되었다. 본 결과는 별나팔꽃의 위해성 평가 및 관리 체계 수립 등에 활용가능할 것으로 판단된다.

A methodology to assess seismic fragility of a nuclear power plant (NPP) using a conditional mean spectrum is proposed as an alternative to using a uniform hazard response spectrum. Rather than the single-scenario conditional mean spectrum, which is the conventional conditional mean spectrum based on a single scenario, a multi-scenario conditional mean spectrum is proposed for the case in which no single scenario is dominant. The multi-scenario conditional mean spectrum is defined as the weighted average of different conditional mean spectra, each one of which corresponds to an individual scenario. The weighting factors for scenarios are obtained from a deaggregation of seismic hazards. As a validation example, a seismic fragility assessment of an NPP containment structure is performed using a uniform hazard response spectrum and different single-scenario conditional mean spectra and multi-scenario conditional mean spectra. In the example, the number of scenarios primarily influences the median capacity of the evaluated structure. Meanwhile, the control frequency, a key parameter of a conditional mean spectrum, plays an important role in reducing logarithmic standard deviation of the corresponding fragility curves and corresponding high confidence of low probability of failure (HCLPF) capacity.

본 연구는 3차원 영상을 이용하여 원예산물의 크기와 플러그묘의 평균초장을 결정하고자 수행되었다. 3차원 영 상을 획득하고자 ToF 카메라와 스테레오비전 카메라를 사용하였다. 본 연구의 3차원 영상 획득용 실험 재료로서 수박, 사과, 배, 단호박, 오렌지의 원예산물과 수박, 토마토 및 고추 플러그묘를 사용하였다. 플러그묘의 평균 초장을 결정하는 지표로서 기존의 측정 기준 대신에 수정초장이 제시되었다. 스테레오비전 영상에 비해서 ToF 영상을 이용한 경우에 원예산물의 크기와 플러그묘의 평균초장 오차가 작게 나타났다. 꼭지가 있는 원예산물을 제외할 경우 ToF 영상을 이용한 원예산물의 둘레와 높이의 오차는 각각 0.0-3.0%, 0.0-4.7%로 나타났다. 또한, 플러그묘의 평균 초장에 대한 오차는 0.0-5.5%로 나타났다. 본 연구를 통해 서 3차원 영상을 이용한 원예산물의 크기와 플러그묘에 대한 초장 추정의 가능성을 확인하였다. 더구나, 본 연구에서 시도된 방법은 3차원 영상으로부터 물체와 배경의 효과적인 분리, 이상치의 제거 등에 활용될 것이다.

In order to understand the tidal current and mean flow at the west channel of Yeoja Bay in the South Sea of Korea, numerical model experiments and vorticity analysis were carried out. The currents flow north at flood and south at ebb respectively and have the reversing form in the west channel. Topographical eddies are found in the surroundings of Dunbyong Island in the east of the channel. The flood currents flow from the waters near Naro Islands through the west channel and the coastal waters near Geumo Islands through the east channel. The ebb currents from the Yeoja Bay flow out along the west and the east channels separately. The south of Nang Island have weak flows because the island is located in the rear of main tidal stream. Currents are converged at ebb and diverged at flood in the northwest of Jeokgum Island. Tidal current ellipses show reversing form in the west channel but a kind of rotational form in the east channel. As the results of tide induced mean flows, cyclonic and anticyclonic topographical eddies at the northern tip but eddies with opposite spin at the southern tip are found in the west channel of Yeoja Bay. The topographical eddies around the islands and narrow channels are created from the vorticity formed at the land shore by the friction between tidal currents and the west channel.