• The Journal of Engineering Geology
• /
• v.32 no.3
• /
• pp.327-338
• /
• 2022

This study aims to empirically and statistically predict soil depths across areas affected by landslides. Using soil depth measurements from a landslide area in Korea, two sets of soil depths are calculated using a Z-model based on terrain elevation and a probabilistic statistical model. Both sets of calculation results are applied to derive landslide risk using the saturated infiltration depth ratio of the soil layer. This facilitates analysis of the infiltration of rainfall into soil layers for a rainfall event. In comparison with the probabilistic statistical model, the Z-model yields soil depths that are closer to measured values in the study area. Landslide risk assessment in the study area based on soil depth predictions from the two models shows that the percentage of first-grade landslide risk assessed using soil depths from the probabilistic statistical model is 2.5 times that calculated using soil depths from the Z-model. This shows that soil depths directly affect landslide risk assessment; therefore, the acquisition and application of local soil depth data are crucial to landslide risk analysis.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.33 no.6
• /
• pp.401-409
• /
• 2020

Seismic fragility assessments include a procedure to combine the random variables of response and capacity to produce the relationship between failure probability and seismic intensity. The evaluation of the failure probability of simultaneous multiple failures of two or more components assumes that the failure probability of each component is independent of those of the others. However, a correlation is expected to exist because several random factors have the same cause. The multiple-failure probability can differ depending on this correlation and may be unconservative without considering the seismic correlation. Therefore, a practical methodology for fragility assessment should be evaluated using the seismic correlation and correlation coefficient for each random variable. In this study, several random variables were selected for numerical evaluation of the correlation coefficient. The correlation coefficient was then compared with each variable and the combined variables. The correlation coefficient using simplified and complex models were also compared to determine and analyze the differences between each of the approaches.

• Journal of Korea Society of Industrial Information Systems
• /
• v.27 no.4
• /
• pp.37-45
• /
• 2022

In this paper, a multi agent-multi task assignment problem, which is a representative problem of combinatorial optimization, is presented. The objective of the problem is to determine the coordinated agent-task assignment that maximizes the sum of the achievement rates of each task. The achievement rate is represented as a concave down increasing function according to the number of agents assigned to the task. The problem is expressed as an NP-hard problem with a non-linear objective function. In this paper, to solve the assignment problem, we propose a hybrid cross-entropy algorithm as an effective and efficient solution methodology. In fact, the general cross-entropy algorithm might have drawbacks (e.g., slow update of parameters and premature convergence) according to problem situations. Compared to the general cross-entropy algorithm, the proposed method is designed to be less likely to have the two drawbacks. We show that the performances of the proposed methods are better than those of the general cross-entropy algorithm through numerical experiments.

• Journal of Korean Society of Transportation
• /
• v.33 no.3
• /
• pp.294-303
• /
• 2015

This paper describes a method that can be used for estimating future carbon emissions and environmental effects. To forecast future land use and transportation changes under various low carbon policies, a DELTA and OmniTRANS combination (a land use-transport integrated model) was applied. Appropriate emission estimation methods and dispersion models were selected and applied in the method. It was designed that the estimated emissions from land use and transportation activity as well as the estimated concentrations of air pollutants and comprehensive air quality index (CAI) are presented on a GIS-based map. The prototype was developed for the city of Suwon and the outcome examples were presented in this paper; it demonstrates what kinds of analysis results are presented in this method. It is expected that the developed method will be very useful for decision makers who want to know the effect of environmental policies in cities.

• Clean Technology
• /
• v.18 no.3
• /
• pp.265-271
• /
• 2012

The use of renewable energies has been required to diminish the dependency on fossil fuels. As one of clean energy sources biomass has been extensively studied because various biomass resources necessitated rapid characterization of their chemical and physical properties in an on-line or real-time basis. For such an analysis near-infrared (NIR) spectroscopy has been successfully applied because of its non-invasive and informative characteristics. In this work, the applicability of nonlinear chemometric techniques based on biomass near infrared (NIR) data is evaluated for the rapid prediction of ash/char contents in different types of biomass. The prediction results of various prediction models and the effect of using preprocessing methods for NIR data are compared using six types of biomass NIR data. The results showed that nonlinear prediction models yielded better prediction performance than linear ones. It also turned out that by adopting the use of proper preprocessing methods the performance of prediction of biomass properties improved.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.7 no.1
• /
• pp.203-211
• /
• 2012

Network security infrastructure is constantly developing based on the combination and blending of various types of devices. From the form of distributed control, the phased defense policy such as fire walls, virtual private communication network, invasion prevention system, invasion detection system, corporate security management, and TSM (Telebiometrics System Mechanism), now it consolidates security devices and solutions to be developed to the step of concentration and artificial intelligence. Therefore, this article suggests network security infrastructure design types concentrating security devices and solutions as platform types and provides network security infrastructure design selecting methodology, the foundational data to standardize platform design according to each situation so as to propose methodology that can realize and build the design which is readily applied and realized in the field and also can minimize the problems by controlling the interferences from invasion.

• Tuberculosis and Respiratory Diseases
• /
• v.58 no.2
• /
• pp.142-152
• /
• 2005

Background : Priming and boosting vaccination strategy has been widely explored for new vaccine development against tuberculosis. As an effort to identify other vaccine candidates, this study was initiated to evaluate protective efficacy of adenylate kinase (AK), nucleoside diphosphate kinase (NdK), and heat shock protein 70 (Hsp70) of Mycobacterium tuberculosis. Method : M. tuberculosis genes encoding AK, NdK, and Hsp70 proteins were amplified by PCR and cloned into E. coli expression vector, pQE30. Recombinant AK, NdK, and Hsp70 was purified through Ni-NTA resin. To evaluate immune responses, we performed enzyme-linked immunosorbent assay (ELISA) for IgG isotype and $IFN-{\gamma}$ after mice were immunized subcutaneously with recombinant proteins delivered in dimethyl dioctadecylammonium bromide (DDA). Immunized- and control groups were challenged by aerosol with M. tuberculosis. The spleens and lungs of mice were removed aseptically and cultured for CFU of M. tuberculosis. Result : Vaccination with recombinant proteins AK, NdK, and Hsp70 delivered in DDA elicited significant level of antibody and $IFN-{\gamma}$ responses to corresponding antigens but no protective immunity comparable to that achieved with Mycobacterium bovis BCG. Conclusion : Recombinant proteins AK, NdK, and Hsp70 do not effectively control growth of M. tuberculosis in mice when immunized with DDA as an adjuvant.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
• /
• v.12 no.1
• /
• pp.19-35
• /
• 2014

A parametric sensitivity to the annual exposure dose rate to the farming exposure group has been probabilistically carried out for three principal elements associated with the nuclide transport behavior in the near-field of the pyroprocessed waste repository system. Credit time for both metal and ceramic containers, annual nuclide release rete, and the degree of loss of bentonite buffer around the container are selected as the elements and investigated for important nuclides. All the elements are shown to be sensitive to the results. Methodology studied through this study and the results are expected to make a good feedback to the repository design. As a follow-up study, separated in Part 2, the A-KRS will be deterministically assessed and then compared among each other with the normal, the worst, and the best case scenarios associated with their extreme values these elements could have.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2005.05b
• /
• pp.1450-1454
• /
• 2005

수자원관리에 있어서 미래시구간에 대한 유량예측은 수자원시스템운영자에게 있어서 의사결정에 결정적인 영향을 미치는 가장 중요한 요소 중의 하나이다. 효율적 물배분이나 발전 등의 이수활동을 위해서 최소 월단위 이상의 장기유량예측이 필요하며, 이를 위해서는 강우예측이 선행되어야 하는데, 본 연구에서는 통합 실시간 물관리 운영시스템을 위한 중장기 유량예측을 목표로 방법론을 제시하고자 한다. 중장기 유량예측을 수행하는 대표적인 방법 중의 하나는 앙상블 유량예측(ESP; Ensemble Streamflow Prediction) 기법이다. ESP란 현재의 유역상태를 초기조건으로 사용하고 과거의 온도나 강수 등의 시계열앙상블을 모형입력으로 이용해서 강우-유출모형을 통하여 유출량을 예측하는 기법이다. ESP는 결국 현재의 유역상태와 유역에서의 과거강우관측기록, 미래강우예측에 대한 정보를 조합하여 그에 따른 유출앙상블을 생산해 내게 된다. 유출앙상블은 각 앙상블 트레이스가 갖게 되는 가중치에 따라 확률분포를 달리 갖게 되고 경우에 따라서는 유량으로부터 2차적으로 유도되는 변수들의 확률분포로 전이되기도 한다. 기존의 ESP 이론은 미국 NWS의 범주형 확률예보를 근간으로 하고 있어, 이를 국내 환경에 그대로 적용시키기에 어려움이 있어 왔다. 따라서 본 연구에서는 국내 기상청의 월간 강수전망을 이용하고, 이러한 정보의 특성에 맞는 ESP기법을 제시하였다. 더 나아가 중장기 수자원운영을 위한 일단위 월강수시나리오 구성을 위해서 수치예보와 월강수전망을 조합하여 ESP를 사용하는 기법을 제시하였다.

• Journal for History of Mathematics
• /
• v.23 no.3
• /
• pp.21-31
• /
• 2010

A latin square of order n is an $n{\times}n$ array with entries from a set of n numbers arrange in such a way that each number occurs exactly once in each row and exactly once in each column. Two latin squares of the same order are orthogonal latin square if the two latin squares are superimposed, then the $n^2$ cells contain each pair consisting of a number from the first square and a number from the second. In Europe, Orthogonal Latin squares are the mathematical concepts attributed to Euler. However, an Euler square of order nine was already in existence prior to Euler in Korea. It appeared in the monograph Koo-Soo-Ryak written by Choi Seok-Jeong(1646-1715). He construct a magic square by using two orthogonal latin squares for the first time in the world. In this paper, we explain Choi' s orthogonal latin squares and the history of the Orthogonal Latin squares.