• 한국정보과학회논문지:정보통신
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• 제31권3호
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• pp.289-297
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• 2004

최신 무선 통신망은 이동 단말의 동적 재배치를 허용하므로 입력 호를 전달하기 위해서는 이동 단말의 트랙을 관리하는 위치 관리 메커니즘이 필요하다 본 논문에서는 페이징 비용을 감소시키기 위하여 퍼지 논리 기반 선택적 페이징 방법을 제안한다. 퍼지 논리 기반 위치 관리 방법에서, 위치 갱신은 방향 기반 방법과 이동 기반 방법을 혼용한 지역 기반 방법을 사용하고, 위치 검색은 이동 단말의 이동성 정보에 기초한 퍼지 논리 기반 선택적 페이징 방법을 사용한다. 부분 후보 페이징 지역이 퍼지 논리 제어에 의해 선택되고, 퍼지 논리 기반 선택적 페이징 방법은 그 부분 후보 페이징 지역 내의 셀들만 페이지 한다. 제안하는 퍼지 논리 기반 위치 관리 방법의 성능을 분석적 모델과 모의실험을 통하여 평가하고, 그것의 성능을 LA 및 BVP와 비교한다. 평가 결과, 제안하는 퍼지 논리 기반 위치 관리 방법이 다른 위치 관리 방법에 비해 우수한 성능을 제공함을 알 수 있었다.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제19권2호
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• pp.197-215
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• 2015

Modeling water flow in variably saturated, porous media is important in many branches of science and engineering. Highly nonlinear relationships between water content and hydraulic conductivity and soil-water pressure result in very steep wetting fronts causing numerical problems. These include poor efficiency when modeling water infiltration into very dry porous media, and numerical oscillation near a steep wetting front. A one-dimensional finite element formulation is developed for the numerical simulation of variably saturated flow systems. First order backward Euler implicit and second order Crank-Nicolson time discretization schemes are adopted as a solution strategy in this formulation based on Picard and Newton iterative techniques. Five examples are used to investigate the numerical performance of two approaches and the different factors are highlighted that can affect their convergence and efficiency. The first test case deals with sharp moisture front that infiltrates into the soil column. It shows the capability of providing a mass-conservative behavior. Saturated conditions are not developed in the second test case. Involving of dry initial condition and steep wetting front are the main numerical complexity of the third test example. Fourth test case is a rapid infiltration of water from the surface, followed by a period of redistribution of the water due to the dynamic boundary condition. The last one-dimensional test case involves flow into a layered soil with variable initial conditions. The numerical results indicate that the Crank-Nicolson scheme is inefficient compared to fully implicit backward Euler scheme for the layered soil problem but offers same accuracy for the other homogeneous soil cases.

• 한국정밀공학회지
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• 제20권12호
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• pp.55-63
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• 2003

The traffic accident is the prerequisite of the traffic accident reconstruction. In this study, the traffic accident (forward collision) and traffic accident reconstruction (inverse collision) simulations are conducted to improve the quality and accuracy of the traffic accident reconstruction. The vehicle and tire models are used to simulate the trajectories for the post-impact motion of the vehicles after collision. The impact dynamic model applicable to the forward and inverse collision simulations is also provided. The accuracy of impact analysis for the vehicular collision depends on the accuracy of the coefficients of restitution and friction. The neural network is used to estimate these coefficients. The forward and inverse collision simulations for the multi-collisions are conducted. The new method fur the accident reconstruction is proposed to calculate the pre-impact velocities of the vehicles without using the trial and error process which requires the repeated calculations of the initial velocities until the forward collision simulation satisfies with the accident evidences. This method estimates the pre-impact velocities of the vehicles by analyzing the trajectories of the vehicles. The vehicle slides on a road surface not only under the skidding during an emergency braking but also under the steering. A vehicle over steering or cornering with excessive speed loses the traction and leaves tile yaw marks on the road surface. The new critical speed formula based on the vehicle dynamics is proposed to analyze the yaw marks and shows smaller errors than ones of the existing critical speed formula.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.2821-2839
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• 2015

Energy consumption by large computing systems has become an important research theme not only because the sources of energy are depleting fast but also due to the environmental concern. Computational grid is a huge distributed computing platform for the applications that require high end computing resources and consume enormous energy to facilitate execution of jobs. The organizations which are offering services for high end computation, are more cautious about energy consumption and taking utmost steps for saving energy. Therefore, this paper proposes a scheduling technique for Minimizing Energy consumption using Adapted Genetic Algorithm (MiE-AGA) for dependent tasks in Computational Grid (CG). In MiE-AGA, fitness function formulation for energy consumption has been mathematically formulated. An adapted genetic algorithm has been developed for minimizing energy consumption with appropriate modifications in each components of original genetic algorithm such as representation of chromosome, crossover, mutation and inversion operations. Pseudo code for MiE-AGA and its components has been developed with appropriate examples. MiE-AGA is simulated using Java based programs integrated with GridSim. Analysis of simulation results in terms of energy consumption, makespan and average utilization of resources clearly reveals that MiE-AGA effectively optimizes energy, makespan and average utilization of resources in CG. Comparative analysis of the optimization performance between MiE-AGA and the state-of-the-arts algorithms: EAMM, HEFT, Min-Min and Max-Min shows the effectiveness of the model.

• 한국항공우주학회지
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• 제30권6호
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• pp.92-100
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• 2002

본 연구에서는 천음속 미소교란 방정식을 이용하여 조종면의 강제 조화 운동을 고려한 전기체 형상에 대하여 천음속/초음속 비선형 플러터 특성을 파악할 수 있는 정밀 해석 시스템을 개발하였다. 본 시스템에는 충격파의 비선형 특성을 고려하기 위해 전산구조동역학, 유한요소해석 및 전산유체역학 기법을 동시에 연계하여 적용하는 연계시간 적분법을 도입하였다. 복잡한 전기체 형상에 대한 효과적인 격자생성을 위해 자체 자동격자 생성프로그램이 개발되었다. 천음속과 초음속 속도 영역에서 전기체 항공기에 대한 정적/동적 공탄성 특성을 고찰하였으며, 시간 영역에서 조종면 강제 조화운동에 대한 플러터 비행시험 시뮬레이션 결과들을 제시하였다.

• Structural Engineering and Mechanics
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• 제66권2호
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• pp.273-283
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• 2018

Currently, the dynamic amplification effect of suction is described using the wind vibration coefficient (WVC) of external loads. In other words, it is proposed that the fluctuating characteristics of suction are equivalent to external loads. This is, however, not generally valid. Meanwhile, the effects of the ventilation rate of louver on suction and its WV are considered. To systematically analyze the effects of the ventilation rate of louver on the multi-dimensional WVC of ultra-large cooling towers under suctions, the 210 m ultra-large cooling tower under construction was studied. First, simultaneous rigid pressure measurement wind tunnel tests were executed to obtain the time history of fluctuating wind loads on the external surface and the internal surface of the cooling tower at different ventilation rates (0%, 15%, 30%, and 100%). Based on that, the average values and distributions of fluctuating wind pressures on external and internal surfaces were obtained and compared with each other; a tower/pillar/circular foundation integrated simulation model was developed using the finite element method and complete transient time domain dynamics of external loads and four different suctions of this cooling tower were calculated. Moreover, 1D, 2D, and 3D distributions of WVCs under external loads and suctions at different ventilation rates were obtained and compared with each other. The WVCs of the cooling tower corresponding to four typical response targets (i.e., radial displacement, meridional force, Von Mises stress, and circumferential bending moment) were discussed. Value determination and 2D evaluation of the WVCs of external loads and suctions of this large cooling tower at different ventilation rates were proposed. This study provides references to precise prediction and value determination of WVC of ultra-large cooling towers.

• 한국태양에너지학회 논문집
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• 제32권4호
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• pp.1-8
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• 2012

A Fiber Bragg Grating (FBG) sensor imbedded small wind turbine blade was manufactured to experimentally investigate the feasibility to embed FBG sensors between layers of glass fiber to monitor dynamic strains of the wind turbine blade. The blade which is similar to a commercial 300 W wind turbine blade was manufactured with glass fiber as a reinforcement and epoxy resin as base material. A total of five FBG sensors including one temperature sensor were imbedded in the blade to sense mechanical strain and temperature. While manufacturing the blade, residual strain and temperature that occurred in the small wind turbine blade were monitored using the imbedded FBG sensor array. To examine the sensor performance, an impact test was carried out. The experimental results from the FBG sensors were close to those from electrical strain gages mounted on the blade root surface. The mode shapes of the blade were analyzed also using a commercial Ansys simulation with a model obtained from a three dimensional laser scanning of the blade.

• 한국철도학회논문집
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• 제11권3호
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• pp.300-310
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• 2008

본 논문에서는 국내철도차량안전기준의 충돌안전 요구사항을 만족하는 동력 분산형 고속전철의 충돌안전도 개념설계에 대하여 연구하였다. 국내안전기준에는 36km/h 열차 대 열차 충돌, 15ton 변형체 장애물과 110km/h 충돌 등 2가지 중충돌 사고에 대한 충돌안전성능을 요구한다. 한국형 분산형 차세대고속열차는 17ton 축중의 동력집중형 KTX와 달리 13ton 축중을 가지는 2TC-6M로 구성된다. 이론적 수치적 해석을 통하여 주요 압괴구조 및 부품의 평균압괴하중과 변형량을 에너지 흡수 관점에서 충돌안전도 개념설계안으로 도출하였다. 도출된 개념 설계안은 1차원 막대-스프링-댐퍼-질량 동역학 시뮬레이션 결과로부터 국내 충돌안전기준을 잘 만족시킬 수 있음을 보였다.

• 항공우주시스템공학회지
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• 제11권1호
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• pp.14-21
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• 2017

매우 큰 정안정성($C_{L{\alpha}}$)을 갖는 틸트덕트 운동모델에 대해 선형 파라미터를 갖는 Sigma-Pi 신경망(SPNN) 제어법칙을 적용하였다. 기존의 비례적분미분(PID) 제어기는 매우 큰 정안정성을 갖는 운동모델이 갖는 강한 기수숙임 문제를 해결하기 어려웠고 이로인해 제어성능을 높일 수 없었다. 이와 달리 외부루프와 내부루프에 모두 적용된 SPNN 제어기는 동역학역변환 및 모델오차를 줄일 수 있는 의사적응제어 명령을 이용해서 과도한 안정성을 개선할 수 있었다. 이를 검증하기 위해서 경로점 추종 시뮬레이션을 이용해서 PID제어 성능과 SPNN제어 성능을 비교하였다.

• 제어로봇시스템학회논문지
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• 제22권1호
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• pp.24-30
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• 2016

The accuracy of small and low-cost CCD cameras is insufficient to provide data for precisely tracking unmanned aerial vehicles (UAVs). This study shows how a quad rotor UAV can hover on a human targeted tracking object by using data from a CCD camera rather than imprecise GPS data. To realize this, quadcopter UAVs need to recognize their position and posture in known environments as well as unknown environments. Moreover, it is necessary for their localization to occur naturally. It is desirable for UAVs to estimate their position by solving uncertainty for quadcopter UAV hovering, as this is one of the most important problems. In this paper, we describe a method for determining the altitude of a quadcopter UAV using image information of a moving object like a walking human. This method combines the observed position from GPS sensors and the estimated position from images captured by a fixed camera to localize a UAV. Using the a priori known path of a quadcopter UAV in the world coordinates and a perspective camera model, we derive the geometric constraint equations that represent the relation between image frame coordinates for a moving object and the estimated quadcopter UAV's altitude. Since the equations are based on the geometric constraint equation, measurement error may exist all the time. The proposed method utilizes the error between the observed and estimated image coordinates to localize the quadcopter UAV. The Kalman filter scheme is applied for this method. Its performance is verified by a computer simulation and experiments.