• 한국BIM학회 논문집
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• 제8권3호
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• pp.12-19
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• 2018

The research aims to find implications of machine learning and urban big data as a way to construct the flexible transportation network system of smart city by responding the urban context changes. This research deals with a problem that existing a bus headway model is difficult to respond urban situations in real-time. Therefore, utilizing the urban big data and machine learning prototyping tool in weathers, traffics, and bus statues, this research presents a flexible headway model to predict bus delay and analyze the result. The prototyping model is composed by real-time data of buses. The data is gathered through public data portals and real time Application Program Interface (API) by the government. These data are fundamental resources to organize interval pattern models of bus operations as traffic environment factors (road speeds, station conditions, weathers, and bus information of operating in real-time). The prototyping model is implemented by the machine learning tool (RapidMiner Studio) and conducted several tests for bus delays prediction according to specific circumstances. As a result, possibilities of transportation system are discussed for promoting the urban efficiency and the citizens' convenience by responding to urban conditions.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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• pp.382-388
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• 1987

In this paper, the performance of Mini MAP architecture is analyzed by simulation method. Token rotation time and waiting time are obtained by simulation. The results of the simulation are compared with these of the analytic model. From these comparisons, it is shown that simulation results are approximately identical to analytic results. Mini MAP architecture has good real time performances in token rotation time and waiting time and can be used to many real time applications.

• 한국수자원학회논문집
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• 제42권3호
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• pp.247-257
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• 2009

본 연구에서는 다방향 흐름 분배 알고리듬과 실시간 보정 알고리듬을 개발하여 분포형 강우-유출 모형에 적용하였다. 개발된 알고리듬의 적용과 분포형 모형 적용상의 약점인 계산시간 개선을 위해 비교적 간단한 수문과정 지배 방정식들을 이용하여 분포형 강우-유출 모형을 작성하였다. DEM(Digital Elevation Model)를 이용하여 공간해상도 변화에 따른 지형정보와 흐름정보의 변동성을 파악하였다. 모의수행 전처리 과정으로 가용한 고해상도 DEM 자료를 사용하여 공간해상도 변화에 따른 흐름정보의 손실을 최소화하고 상세흐름정보를 저해상도 흐름정보에 반영시키는 다방향 흐름분배 알고리듬을 개발하였다. 또한 실시간으로 유역상태량을 보정하는 실시간 보정 알고리듬을 개발하다. 개발된 모형은 저해상도 모의에서 유출 과정의 실제적 거동 정보를 유지할 수 있다. 그러므로 예측 정확도 향상 및 계산시간의 개선이 기대된다.

• 한국수자원학회논문집
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• 제30권5호
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• pp.449-457
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• 1997

본 연구의 목적은 현재 국내 홍수예경보 시스템의 유출량 계산모형으로 이용되고 있는 단일 홍수사상을 모의할 수 있는 유역저류함수모형을 추계통력학적 상태.공간형태의 모형으로 개선.발전시키고 실시간 홍수예보에 대한 모형의 적용성을 검토하는데 있다. 모형의 적용대상 유역은 개진을 유역출구로 하는 낙동강 회천유역(747.5$\textrm{km}^2$)이며, 매개변수의 적절성 및 모형의 적용성을 평가하기 위해서 1983년부터 1986년 사이에 발생한 8개의 단일 홍수사상을 선정하였다. 본 연구에 사용된 모형의 매개변수는 실무에서 사용하고 있는 값을 사용하였다. 그 결과 기존 모형의 적용성은 선택된 사상에 따라 많은 차이를 나타내는데 비해 본 연구에서 개발한 모형에 의한 결과는 모형의 효율성 계수가 0.90이상으로 정확한 값을 제시하였다. 따라서 홍수시 모형과 관측시스템의 오차를 고려할 수 있는 본 연구의 모형은 회천유역의 실시간 홍수예보 모형으로서 유용한 것으로 판단된다.

• ETRI Journal
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• 제39권4호
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• pp.558-569
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• 2017

In this study, a non-preemptive M/G/1 queueing model of a spectrum handoff scheme for cognitive wireless networks is proposed. Because spectrum handoff gives secondary users an opportunity to carry on their transmissions, it is crucially important to determine the actions of primary users. In our queueing model, prioritized data traffic is utilized to meet the requirements of the secondary users. These users' packets are categorized into three different priority classes: urgent, real-time, and non-real time. Urgent data packets have the highest priority, while non-real time data packets have the lowest priority. Riverbed (OPNET) Modeler simulation software was used to simulate both reactive and proactive decision spectrum handoff schemes. The simulation results were consistent with the analytical results obtained under different load and traffic conditions. This study also revealed that the cumulative number of handoffs can be drastically decreased by exploiting priority classes and utilizing a decent spectrum handoff strategy, such as a reactive or proactive decision-based strategy.

• Journal of Power Electronics
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• 제9권3호
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• pp.456-463
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• 2009

The paper presents a method for controlling induction motors using a nonlinear internal model control (IMC) approach. The process model and the inverse model are developed in the rotor flux coordinate. The main advantage of the proposed method is that it easily specifies the performance (steady state error, transient response, etc.) and the robustness of the controller by means of the IMC filters. Simulation results illustrate the effectiveness of the proposed method. Results on a real time system show that the control system has good performance and robustness against changes in motor parameters (rotor and stator resistances, rotor and stator inductances, rotor inertia).

• 한국정보통신학회논문지
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• 제26권2호
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• pp.317-320
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• 2022

This paper studies real-time error in the context of monitoring a symmetric binary information source over a delay system. To obtain the average real-time error, the delay system is modeled and analyzed as a discrete time Markov chain with a finite state space. Numerical analysis is performed on various system parameters such as state transition probabilities of information source, transmission times, and transmission frequencies. Given state transition probabilities and transmission times, we investigate the relationship between the transmission frequency and the average real-time error. The results can be used to investigate the relationship between real-time errors and age of information.

• 한국농공학회지
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• 제32권3호
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• pp.47-55
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• 1990

An adaptive algorithm was applied to forecast daily stream flows in real time using rainfall data. A three-component tank model was selected to simulate the flows and its time-variant parameters were self-calibrated with updated data using a parameter optimization scheme, golden section search method. The resulting adaptive model, APTANK, was applied to six watersheds, ranging from 0.47 to 33.62 km$^2$ size and the simulated daily streamflows were compared with the measured. The simulation results were in good agreement with the field data. APTANK is found to be applied to real-time flow simulation purposes such as a tool for irrigation water resources management and operations. The model is particularly good to simulate streamflows on dry days as compared to wet days having runoff-induced precipitation.

• 대한전기학회논문지:시스템및제어부문D
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• 제49권7호
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• pp.363-369
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• 2000

To flexibly evaluate performance and reliability of an electric power system in the aspect of the real-time system which is intrinsically characterized by stringent timing constraints fails catastrophically if its control input is not updated by its digital controller computer within a certain time limit called the hard deadline, we propose fuzzy-random variables and build a discrete event model embedded with fuzzy-random variables. Also, we adapt fuzzy-variables to a path-space approach, which derives the upper and lower bounds of reliability by using a semi-Markov model that explicitly contains the deadline information. Consequently, we propose certain formulas of state automata properly transformed by fuzzy-random variables, and present numerical examples applying the formulas as well.

• 한국자동차공학회논문집
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• 제9권6호
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• pp.186-194
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• 2001

To meet the challenge of testing increasingly complex automotive control systems, the real-time hardware-in-the-loop(HIL) simulation technology has been developed. In this paper, a strategy for evaluation of semiactive suspension systems using real-time HIL simulation is presented. A multibody vehicle model is adopted to simulate vehicle dynamic motions accurately. Accuracy of the vehicle simulation results is compared to that of the real vehicle field test and proven to be very accurate. The controller and stepping motor to adjust semi-active damper stage are equipped as external hardwares and connected to the real-time computer which has vehicle dynamic model. Open and closed loop test methods are used to evaluate a controlled suspension system and the system's operations are verified it is found that the proposed evaluation methods can be used well for the verification of semi-active suspension systems.