• 한국공간구조학회논문집
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• 제21권2호
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• pp.67-79
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• 2021

This paper aims to develop numerical models for seismically-deficient reinforced concrete columns retrofitted using a fiber-reinforced polymer jacketing system under blast loading scenarios. To accomplish the research goal, a coupling model reproducing blast loads was developed and implemented to the column model. The column model was validated with a past experimental study, and the blast responses were compared to the numerical responses produced by past researchers. The validated modeling method was implemented to the non-retrofitted and retrofitted column models to estimate the effectiveness of the retrofit system. Based on the numerical responses, the retrofit system can significantly reduce the peak dynamic responses under a given blast loading scenario.

• 설비공학논문집
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• 제10권6호
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• pp.658-665
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• 1998

This paper investigates local exhaust effectiveness in a room with a supply and an exhaust slots on the ceiling. The mean age of air is an indicator of supply effectiveness, while the mean residual life time can be used as an indicator of exhaust effectiveness. The distribution of local mean residual life time in a space is calculated by four different numerical procedures. The reverse-flow calculation method has been proved to show quite accurate results while it can save considerable amount of computation time and efforts, compared to the method by its original definition. It is concluded that the diffusion term in the equation of mean residual life time can be neglected. The spatial and temporal diffusion characteristics of the contaminant are also discussed.

• 한국공간구조학회논문집
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• 제7권4호
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• pp.79-87
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• 2007

본 연구의 목적은 초고층 주상복합건물의 품질관리를 통한 시공 분야의 효율성의 특성을 파악하는데 있다. 기존연구에서 시공관련 품질개선요소들이 정리되었으며 규격화된 설문서를 통하여 시공 분야에 있어서 개선요소를 대학원생을 포함한 건축 관련 대학교, 건설회사, 설계사무소등의 실무자들의 의견을 조합하였다. 설문조사 결과와 기존현장 기술자들의 품질관리 인식도를 비교하여 현장별 품질관리의 정량적, 정성적 성과척도를 파악하고 분석하였다.

• 대한교통학회지
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• 제24권4호
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• pp.31-42
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• 2006

본 연구는 도로안전개선사업의 공간적범위 (지점단위/구간단위)에 따른 도로안전시설물의 효과도 비교를 목적으로 한다. 분석자료는 전라북도 지역 국도를 대상으로 사고잦은지점개선사업과 국도17호선 구간안전개선사업 시행도로에 대한 사전 사후 사고자료와 도로 교통특성자료를 이용하였다 경험적베이즈기법(Empirical Bayes ; EB)을 이용한 시설물별 효과도 산정모형을 구축하고, 비교를 위해서는 승산비 (Odds Ratio)를 이용하여 상대효과도 산정기법을 제시하였다. 분석결과 구간사업에서 설치한 안전시설물이 지점단위 개선사업보다 상대적으로 $7.09%{\sim}77.27%$ 안전성을 개선시키는 것으로 나타났다. 사업의 공간적 범위에 상관없이 구간특성을 가지는 시설물인 중앙분리대와 가드레일은 상대효과도가 크지 않게 나타났으나, 대표적인 지점설치 시설물인 갈매기표지나 미끄럼방지포장 등은 구간사업에서 그 상대효과도가 매우 크게 나타나 향후 시설물 설치시 구간측면에서 고려가 필요함을 알 수 있었다. 이와 같은 연구결과를 토대로 보았을 때 향후 안전시설물 설치와 같은 도로안전개선사업은 구간단위 사업이 확대되어야 할 것으로 보인다.

• ETRI Journal
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• 제40권1호
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• pp.122-132
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• 2018

This paper proposes a hierarchical dual filtering (HDF) algorithm to estimate the spatial region between a Cloud of Things (CoT) gateway and an Internet of Things (IoT) device. The accuracy of the spatial region estimation is important for autonomous CoT clustering. We conduct spatial region estimation using a hidden Markov model (HMM) with a raw Bluetooth received signal strength indicator (RSSI). However, the accuracy of the region estimation using the validation data is only 53.8%. To increase the accuracy of the spatial region estimation, the HDF algorithm removes the high-frequency signals hierarchically, and alters the parameters according to whether the IoT device moves. The accuracy of spatial region estimation using a raw RSSI, Kalman filter, and HDF are compared to evaluate the effectiveness of the HDF algorithm. The success rate and root mean square error (RMSE) of all regions are 0.538, 0.622, and 0.75, and 0.997, 0.812, and 0.5 when raw RSSI, a Kalman filter, and HDF are used, respectively. The HDF algorithm attains the best results in terms of the success rate and RMSE of spatial region estimation using HMM.

• 한국멀티미디어학회논문지
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• 제19권12호
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• pp.2000-2013
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• 2016

The purpose of this study is to validate the validity of the methodology for analyzing the space with complex characteristics and to evaluate the existing spatial structure analysis theory. Seven example models are designed and analyzed data of spatial syntax analysis and visibility graph analysis. And analyzed the agent-based model using two analytical methods: the adjacent space and the whole spatial connection. The results of this study are as follows. Based on the analysis of the agent - based model for perfectly freewalking, the validity of the method is verified in terms of predictive ability and effectiveness. Agent-based models can be simulated considering various variables, so realistic predictions will be possible and a new biography of complex systems can be met.

• Structural Engineering and Mechanics
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• 제4권6호
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• pp.589-600
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• 1996

An explicit 4th order time integration scheme for solving the convection-diffusion equation is discussed in this paper. A system of ordinary differential equations are derived first by discretizing the spatial derivatives of the relevant PDE using the finite difference method. The integration of the ODEs is then carried out using a 4th order scheme and a self-adaptive technique based on the spatial grid spacing. For a non-uniform spatial grid, different time step sizes are used for the integration of the ODEs defined at different spatial points, which improves the computational efficiency significantly. A numerical example is also discussed in the paper to demonstrate the implementation and effectiveness of the method.

• Geomechanics and Engineering
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• 제11권1호
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• pp.41-58
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• 2016

This paper focuses on the deformation behavior of tunnels crossing a weak zone in conventional tunneling. A three-dimensional finite element model was adopted that allows realistic modeling of the tunnel excavation and the support installation. Using the 3D FE model, a parametric study was conducted on a number of tunneling cases with emphasis on the spatial characteristics of the weak zone such as the strike and dip angle, and on the initial stress state. The results of the analyses were thoroughly examined so that the three-dimensional tunnel displacements at the tunnel crown and the sidewalls can be related to the spatial characteristic of the weak zone as well as the initial stress state. The results indicate that the effectiveness of the absolute displacement monitoring data as early warning indicators depends strongly on the spatial characteristics of the weak zone. It is also shown that proper interpretation of the absolute monitoring data can provide not only early warning for a weak zone outside the excavation area but also information on the orientation and the extent of the weak zone. Practical implications of the findings are discussed.

• Ocean and Polar Research
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• 제44권2호
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• pp.179-190
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• 2022

Data missing in optical satellite images caused by natural variations have been a crucial barrier in observing the status of marine surfaces. Although there have been many attempts to fill the gaps of non-observation, there is little research to analyze the ratio of missing grids to overall sea grids and their seasonal patterns. This report introduces the method of quantifying the distribution of missing points and then shows how the missing points have spatial correlation and seasonal trends. Both temporal and spatial integration methods are compared to assess the effectiveness of reducing missing data. The temporal integration shows more outstanding performance than the spatial integration. Moran's I and K-function with statistical hypothesis testing show that missing grids are clustered and there is a non-random distribution from daily integration. The result of the seasonality test for Moran's I through a periodogram shows dependency on full-year, half-year, and quarter-year periods respectively. These analysis results can be used to deduce appropriate integration periods with permissible estimation errors.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제10권1호
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• pp.89-93
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• 2010

In this paper a new fuzzy clustering approach to the color clustering problem has been proposed. To deal with the limitations of the traditional FCM algorithm, we propose a spatial homogeneity-based FCM algorithm. Moreover, the cluster validity index is employed to automatically determine the number of clusters for a given image. We refer to this method as VS-FCM algorithm. The effectiveness of the proposed method is demonstrated through various clustering examples.