• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.06a
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• pp.137-144
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• 2010

Ground digital image data obtained by using DSLR camera can be used to the ground photogrammetry and spatial modeling. Intensity of each pixel in digital video images is the most important parameter to generate digital image. Therefore, it is needed to estimate the parameters and spectral characteristics of digital cameras in order to take more definite intensity data. In this study, using the Sony DSC-F828 DSLR camera, seven digital images are obtained by the continuous shooting. (frame rate, 0.38 seconds). And then extract the value of the intensity from RGB band of each digital color photographs to confirm difference of intensity between frames. The purpose of this study is to confirm spectral characteristics and changes and to estimate correlation through the analysis of statistical in each pixel of R, G, B band.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.20 no.2
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• pp.147-155
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• 2007

In this study, the performance of the modified sliding mode control proposed in the previous study is evaluated for seismic response control of nonlinear hysteretic structures. Modified sliding mode control(MSMC) utilizes the target derivative of Lyapunov function in order to calculate control force, and its performance was evaluated only lot linear structures in the previous study. However, considering that most structures subject to strong earthquake show nonlinear hysteretic behivior, the results from the previous study have limitations in practical application. The results from numerical analyses of single degree of freedom systems and base isolated system, which were described using Bouc-Wen model, indicate that the proposed MSMC algorithm shows better control performance than the existing sliding mode controller.

• Composites Research
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• v.13 no.6
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• pp.63-72
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• 2000

In this paper, statistical treatments of effective properties for plain weave textile composites were presented. Configurations up to 32 layers with varied stacking phase shifts were considered. Effective properties were calculated by numerical simulation in which uni-axial tensile and shear load were applied at unit cell. Sample analysis was utilized to consider the inherent randomness in the phase shift and the results were treated statistically. It was found that effective properties were dependent on stacking phase shifts for thin plain weave textile composites. The distribution of $E_{xx}$ and $V_{xy}$ were skewed and the range of possible values was relatively large. As the number of layers increased, however, the distribution width became narrower and mean values converged. In contrast, $G_{xy}$ was not affected by phase shifts and thickness changes.

• Communications for Statistical Applications and Methods
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• v.18 no.2
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• pp.171-177
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• 2011

In order to construct approximation functions for real data, it is necessary to remove the outliers from the measured raw data before constructing the model. Conventionally, visualization and maximum residual error have been used for outlier detection, but they often fail to detect outliers for nonlinear functions with multidimensional input. Although the standard support vector regression based outlier detection methods for nonlinear function with multidimensional input have achieved good performance, they have practical issues in computational cost and parameter adjustments. In this paper we propose a practical approach to outlier detection using support vector regression that reduces computational time and defines outlier threshold suitably. We apply this approach to real data examples for validity.

• Journal of Digital Contents Society
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• v.8 no.1
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• pp.77-83
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• 2007

The handoff area is the region where a call can be handled by the base station in any of the adjacent cells, and duration time is viewed as the time a mobile station resides in the handoff area. In this paper, probability distribution about hand off time one of important parameter at traffic modelling in mobile communication system was estimated. First, point statistic is applied using sample data obtained from simulation result to choose the group of distribution of handoff duration time. Second, parameters are estimated to decide specific distribution function. For this, the value of parameters is calculated using MLE(Maximum Likelihood Estimate.) and goodness of fit test is performed. finally these results show that handoff duration time follows gamma distribution.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.2
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• pp.71-80
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• 2010

This thesis is purposed on developing security product co-evaluation statistics administrate program which is can administrate or analysis CC accreditation product using by DEVS modeling via portal site of member of CCRA. Via developing security product evaluation statistics administrate program, it can analysis the trend of all countries of the world in many ways, and noticed the ways of evaluation and accreditation of most countries via scheme analysis. Except this, it can analysis the situation of accreditation trend of any countries via data analysis of ICCC 2009. Also, For trend analysis to evaluation technique of CCRA member, it analyzed up to date technology and policy of the evaluation organization and the Certification Authority of most countries. And it peformed analysis the most trend of information security of evaluation authorization in CCRA member countries. In this program, It provide the function of trend statistics analysis which can statically analyzed the evaluation accreditation trends of most countries and automatical statistics by categorization ( by Product, Class and statistics in national) and report creation functions which can easily extraction and use the needed data. It has been updated the related informations until latest accredited product using by CC(Common Criteria) portal home page's data.

• Journal of the Earthquake Engineering Society of Korea
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• v.16 no.2
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• pp.1-13
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• 2012

Seismic fragility functions are derived for probabilistic evaluation of seismic control performance of energy dissipation devices installed in reinforced concrete structures. Displacement-dependent dampers are added to the nonlinear single-degree-of-freedom systems with different natural periods and hysteretic characteristics of which stiffness and strength has uncertainty. Nonlinear time history analysis is conducted for those SDOF systems and the result is processed statistically to obtain seismic fragility functions in the form of log normal distribution. Variation of seismic fragility functions for different parameters of SDOF systems and dampers are investigated and the seismic control performance is assessed probabilistically.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.342-344
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• 2018

This paper shows the possibility to substitute statistical methods such as mean imputation, correlation coefficient analysis, graph correlation analysis for the proposed algorithm, and replace statistician for processing various abnormal data measured in the water treatment process with it. In addition, this study aims to model a data-filtering system based on a recent fractile pattern and a deep learning-based LSTM algorithm in order to improve the reliability and validation of the algorithm, using the open-sourced libraries such as KERAS, THEANO, TENSORFLOW, etc.

• Tunnel and Underground Space
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• v.15 no.2 s.55
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• pp.129-136
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• 2005

This paper describes the implementation of rock mass rating evaluation based on genetic algorithm(GA) and conditional simulation technique to estimate RMR in the area without sufficient borehole data RMR were estimated by GA and conditional simulation technique with reflecting distribution feature and spatial correlation. And RMR determined by GA were compared with the results from kriging. Through the analysis of the results from 30 simulations, the uncertainty of estimation could be quantified.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.304-304
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• 2015

산지가 많은 우리나라에서 도로는 필연적으로 산지부를 지나가게 되어 토석류에 취약한 문제점이 있다. 2000년대 초반이전까지만 해도 통계자료조차 없었던 도로 인접지에서의 토석류의 발생이 최근 늘어나고 있는데 반해 도로에서의 토석류에 대한 연구는 초기단계에 있다. 도로에서의 사례를 제외하고 보면 2011년 발생한 서울 우면산에서의 토석류 발생 등 일부사례를 중심으로 발생 거동 해석을 수행한 연구결과가 있으나 이러한 연구 결과를 도로에 직접적으로 적용하기에는 어려움이 있다. 특히 도로에서 발생한 토석류에 대한 거동 분석을 수행할 필요가 있으나 이와 같은 문제로 인해 실제 도로에서 발생한 토석류 사례에 대한 거동 분석은 현재까지 이루어지지 않았다. 본 연구에서는 GIS를 이용한 지형분석 및 HEC-HMS를 이용한 수문분석을 실시하였고, 미연방재난관리청(FEMA)의 홍수보험지도와 하천재해해석을 위한 공식 인증 프로그램으로 등록되어 있는 토석류 거동 해석 프로그램인 FLO-2D을 이용하였다. 실제 도로에서 발생한 토석류 사례에 대하여 FLO-2D 모형을 이용하여 거동을 해석하고, 해석결과를 실제 발생한 토석류 자료와 적합도 분석을 수행하였다. 또한, 국내 도로 인접지에서의 토석류 해석에 대한 FLO-2D 모형의 적용 가능성에 대하여 연구하였다.