• Tunnel and Underground Space
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• v.14 no.5
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• pp.373-380
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• 2004

In this study, the emission rate of pollutant was modified according to the published standards, and the distribution of pollutant concentration was analyzed for each vehicle velocity. This modified emission rate was applied to a model tunnel and it was proved that the required air quantity was reduced to 49%, compared to the PIARC method. From the simulation result, it was proved by using statistics that the most sensitive factor among them is the friction coefficient and it was modified to the value in the range of 0.018 to 0.021. It is also expected that the required air quantity can be decreased form 14.4% to 19.2% according as the coefficient is applied to the domestic model tunnels. In conclusion, it is proposed that the number of jet fans can be reduced and the annual operating cost can be curtailed as well.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.11a
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• pp.563-568
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• 2001

본 연구에서는 3차원 그래픽 시뮬레이션 게임 제작 연구를 목적으로 하여 3차원 그래픽 전차모델을 제작하고 이를 이용한 전차전 시뮬레이션 게임 제작을 목표로 한다. 게임 상에는 아군과 대항군의 2대의 전차가 사용되며 대항군 전차는 통계적인 함수 모형을 이용하여 자체적인 전투 수행을 할 수 있도록 하고, 아군 전차는 사용자가 움직임을 통제한다. 본 논문의 결과를 사용자 탱크가 자유자재로 지형 위를 움직이며 상대편 탱크와 전투를 하는 시스템이 개발된다.

• Journal of the Korea Society for Simulation
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• v.3 no.1
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• pp.17-28
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• 1994

A statistical procedure is developed to estimate the relative difference between two parameters each obtained from either true model or approximate model. Double sample procedure is applied to find the additional number of simulation runs satisfying the preassigned absolute precision of the confidence interval. Two types of parameters, mean and standard deviation, are considered as the performance measures and tried to show the validity of the model by examining both queues and inventory systems. In each system it is assumed that there are three distinct means and their own standard deviations and they form the simultaneous confidence intervals but with control in the sense that the absolute precision for each confidence interval is bounded on the limits with preassigned confidence level. The results of this study may contribute to some situations, for instance, first, we need a statistical method to compare the effectiveness between two alternatives, second, we find the adquate number of replications with any level of absolute precision to avoid the unrealistic cost of running simulation models, third, we are interested in analyzing the standard deviation of the output measure, ..., etc.

• The Korean Journal of Financial Management
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• v.14 no.2
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• pp.273-312
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• 1997

본 연구는 우리나라의 실제 일별 주식수익률 자료를 이용한 시뮬레이션을 통해 우리나라 주식시장에 가장 적합한 사건연구방법론을 도출하고자 하였다. 이를 위해, 1980년에서부터 1995년까지 우리나라 주식시장에 상장된 675개 주식을 대상으로 무작위 복원추출 방법에 의해 50개의 개별주식으로 구성된 250개 표본을 선정하였다. 이들 250개 표본을 이용하여 시뮬레이션 기법에 의해 다양한 사건연구 모형의 통계적 오류와 검정력에 미치는 영향을 종합적으로 분석하였다. 시뮬레이션 실험 결과에 의하면, 먼저 사건일을 정확히 포착할 수 있는 경우에는 산업별주가지수를 시장지수로 선택한 시장모형 혹은 시장조정모형으로 초과수익률을 측정하고, 횡단면 독립성을 가정한 검정법이 가장 우수한 사건연구방법으로 나타났다. 한편, 사건일을 정확하게 포착할 수 없는 경우에는, 동일가중지수를 시장지수로 선택한 시장모형 혹은 시장조정모형으로 초과수익률을 측정하고, 횡단면 독립성을 가정한 검정법이 가장 적합한 모형으로 나타났다. 그리고, 사건일 집중현상으로 인한 제1종 오류를 감소시키는 데에는 개별주식의 초과수익률 간의 횡단면 독립성을 가정한 검정법보다는 횡단면 중속성을 조정한 검정법을 사용하는 것이 더욱 효과적이다.

• Journal of the Korea Society for Simulation
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• v.19 no.1
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• pp.53-61
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• 2010

In wireless sensor networks(WSNs) individual sensor nodes are subject to security compromises. An adversary can physically capture sensor nodes and obtain the security information. And the adversary injects false reports into the network using compromised nodes. If undetected, these false reports are forwarded to the base station. False reports injection attacks can not only result in false alarms but also depletion of the limited amount of energy in battery powered sensor nodes. To combat these false reports injection attacks, several filtering schemes have been proposed. The statistical en-routing filtering(SEF) scheme can detect and drop false reports during the forwarding process. In SEF, The number of the message authentication codes(threshold) is important for detecting false reports and saving energy. In this paper, we propose a dynamic threshold determination method for energy efficient SEF using fuzzy-logic in wireless sensor networks. The proposed method consider false reports rate and the number of compromised partitions. If low rate of false reports in the networks, the threshold should low. If high rate of false reports in networks, the threshold should high. We evaluated the proposed method’s performance via simulation.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4D
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• pp.661-670
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• 2006

The utilization of simulation has been limited in planning construction process because it is difficult to collect data and build a model using simulation method. This study collects construction operation data and analyzes the characteristics of its distribution. Through the statistical analysis on the empirical data, this study identifies Beta distribution functions is one of the most proper in duplicating the characteristics of construction equipment operation data into a computer simulation. The information obtained in this study can support preparing input data for another simulation.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.9 no.1
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• pp.1-10
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• 1989

The stress history of a bridge is different depending on the characteristic of traffic flow. Because the flow is varied with vehicle type, weight and headway time etc., statistical analysis in bridges is necessary to estimate the history by traffic flow. By applying the statistical analyses in fracture mechanics, the remaining service life of the structure can be estimated. In this paper, 1)the statistical analysis of vehicle type, weight and headway time etc. to analysis randomness of traffic flow, 2)measuring and analysis of stress history of a real bridge, 3)reappearance of stress history by Monte-Carlo Simulation using constitution ratio of vehicle type, weight and headway time as probabilitic variable, 4)comparision of the calculated and modelled stress history, 5)calculation of reduction factor, 6)comparision of frequency of stress range depending on span length etc. were performed. From the results, the basic modelled stress history which is necessary for the method of estimation of the remaining service life of the structure could be suggested.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.543-547
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• 2004

Visualization of construction process simulation and physical modeling were considered to overcome the limitations of current graphical simulation. The output of discrete-event simulation programs which are the most common mathematical statistical simulation tool for construction processes were analyzed for the visualization of earthmoving process that dealing with objects without fixed. Object-oriented models for equipment, material and work environments were devised to effectively visualize the numerical simulation results of the working time, the queuing time as well as the amount resources etc. The oscillation of the crane's cable and the lifted material that should be considered to rationally modeled and simulated by construction graphical simulation. The derived equation of motion was solved by numerical analysis procedure. Then obtained results was used for physical modeling.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.6
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• pp.503-510
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• 2002

This paper presents a fault diagnosis method using neural network-based multi-fault models and statistical method to detect and isolate faults in nonlinear systems. In the proposed method, faults are detected when the errors between the system output and the neural network nominal system output cross a predetermined threshold. Once a fault in the system is detected, the fault classifier statistically isolates the fault by using the error between each neural network-based fault model output and the system output. From the computer simulation results, it is verified that the proposed fault diagonal method can be performed successfully to detect and isolate faults in a nonlinear system.

• Journal of the Korean Institute of Telematics and Electronics
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• v.20 no.3
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• pp.61-68
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• 1983

In this paper various aspects of statistical maltiplexing of data signs have been investigated. A queueing model with finite waiting room and batch poisson arrivals is studied assuming that data signals are transmitted at a constant rate. Using traffic intensity and average burst length as parameters, overflow probabilities and expected queueing delay due to buffering are obtained. Also, a real system model of a statistical multiplexer that can be directly used in micro-programmed hardware realization is proposed. To examine the performance of the system, computer simulation has been done at various conditions. The results obtained can be used in designing a buffer efficiently.