• 지능정보연구
• /
• 제6권1호
• /
• pp.113-128
• /
• 2000

This paper presents a first year report of an ongoing multi-year project to develop a systolic parallel simulation system for dynamic traffic assignment. The fundamental approach to the simulation is systolic parallel processing based on autonomous agent modeling. Agents continuously act on their own initiatives and access to database to get the status of the simulation world. Various agents are defined in order to populate the simulation world. In particular existing modls and algorithm were incorporated in designing the behavior of relevant agents such as car-following model headway distribution Frank-Wolf algorithm and so on. Simulation is based on predetermined routes between centroids that are computed off-line by a conventional optimal path-finding algorithm. Iterating the cycles of optimization-then-simulation the proposed system will provide a realistic and valuable traffic assignment. Gangnum-Gu district in Seoul is selected for the target are for the modeling. It is expected that realtime traffic assignment services can be provided on the internet within 3 years.

• International Journal of Aeronautical and Space Sciences
• /
• 제14권1호
• /
• pp.58-66
• /
• 2013

This paper addresses the performance of three different types of attitude control systems for the Quad-rotor UAV to perform the flip maneuver. For this purpose, Quad-rotor UAV's 6-DOF dynamic model is derived, and it was used for designing an attitude controller of the Quad-rotor UAV. Attitude controllers are designed by three different methods. One is the open-loop control system design, another is the PD control system design, and the last method is the sliding mode control system design. Performances of all controllers are tested by 6-DOF simulation. In case of the open-loop control system, control inputs are calculated by the quad-rotor dynamic model and thrust system model that are identified by the thrust test. The 6-DOF realtime simulation environment was constructed in order to verify the performances of attitude controllers.

• 한국수소및신에너지학회논문집
• /
• 제29권2호
• /
• pp.226-234
• /
• 2018

Even though the nuclear power plants has many advantages, safety issues of nuclear power plants are crucial factors of reliable operation. A tritium detector is a useful sensor to analyze amount of exposed radiation from the nuclear power plants. Currently, concentration of underwater tritium is measured precisely but it takes very long time. Since electrolysis is extracted hydrogen from the coolant of nuclear power plant, it can motivate to develop new type of real-time sensor. In this study, Proton Exchange Membrane (PEM) electrolyzer is studied for candidate as preprocessor of real-time tritium detector. Characteristics of the unit PEM electrolyzer were experimentally investigated. A simulation model is developed to understand physical behavior of unit PEM electrolyzer under dynamic operation.

• Journal of Mechanical Science and Technology
• /
• 제19권spc1호
• /
• pp.312-319
• /
• 2005

For real time dynamic simulation, two different subsystem synthesis methods with independent generalized coordinates have been developed and compared. In each formulation, the subsystem equations of motion are generated in terms of independent generalized coordinates. The first formulation is based on the relative Cartesian coordinates with respect to moving subsystem base body. The second formulation is based on the relative joint coordinates using recursive formulation. Computational efficiency of the formulations has been compared theoretically by the arithmetic operational counts. In order to verify real-time capability of the formulations, bump run simulations of a quarter car model with SLA suspension subsystem have been carried out to measure the actual CPU time.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 1992년도 추계학술대회 논문집
• /
• pp.161-165
• /
• 1992

The important properties of industrial scale or weighing machine operated in production lines are quickness and precision. This paper presents an algorithm which meets the importance. The algorithm of Recursive Least Squares Regression is described for the weighing system simulated as a dynamic model of the second order. Using the model and the algorithm, model parameters and then the mass being weighed can be determined from the step input. The performance of the algorithm is illustrated in digital simulation. Discussions have been extended to the development of fast converging algorithm. It turns out that the algorithm shows several desirable features suitable for microcomputer assisted realtime signal processing.

• 한국산학기술학회논문지
• /
• 제14권6호
• /
• pp.2992-2998
• /
• 2013

차세대 이동통신 시스템은 음성 트래픽뿐만 아니라 데이터, 화상, 비디오와 같은 멀티미 디어 트래픽을 지원하여야 하므로 더 많은 무선 자원을 요구한다. 본 논문에서는 OFDMA 시스템에서 모바일 멀티미디어 서비스를 위한 사용자 및 부채널 우선순위 기반 자원할당 방안을 제안한다. 제시된 방안들을 통하여 실시간 클래스의 연속성을 보장하고 비실시간 가입자를 최대로 수용할 수 있다. 시뮬레이션은 총 데이터 처리량과 블럭킹률에 집중한다. 시뮬레이션 결과는 기존의 방법에 비하여 우수함을 보였다.

• 한국군사과학기술학회지
• /
• 제14권2호
• /
• pp.181-188
• /
• 2011

A simulation technique, which simulate dynamic motion and communication environments of ship in the lab, is needed in order to reduce the testing cost when we evaluate the transfer alignment performance of shipboard INS. Hardware-In-the-Loop Simulation(HILS) can be used as an effective test method for those system because it can provide flexible and realistic simulation environments, various test scenario, and repeated test environment in the lab without additional cost and person. This paper presents the methods for implementing the real time HILS environment for testing transfer alignment performance of shipboard INS. It includes real time executive for controlling realtime simulation and calculating the ship motion, communication method for interfacing between the systems, and coordinate transformation method for converting real ship coordinate attitude data to lab coordinate attitude data.

• 한국컴퓨터그래픽스학회논문지
• /
• 제21권5호
• /
• pp.21-27
• /
• 2015

본 논문에서는 방송국 그린 스튜디오에 서 있는 연기자와 CG로 표현되는 스페셜 이펙트(물, 불, 연기 등)와의 상호작용을 제공하는 시스템을 제안한다. 기존의 가상 스튜디오는 주로 CG 배경과 연기자 촬영 영상을 정합하는 방법에 초점을 맞추고 있다. 기존의 연구와 달리 본 논문에서는 실제 연기자와 상호작용하는 비주얼 이펙트를 시뮬레이션하는데 집중함으로써 TV 화면에서 새로운 영역을 표현하고자 한다. 연기자 동작에 비주얼 이펙트를 연동하기 위하여 깊이 카메라를 이용하여 연기자 동작을 추출한다. 이를 3차원 벡터 필드로 변환하고 Navier Stokes 방정식의 외력으로 적용하여 물, 불, 연기의 유체를 시뮬레이션한다. 특히, 물의 상호작용을 사실적으로 표현하기 위하여 물에 연동되는 스플레쉬의 상호작용도 함께 시뮬레이션하여 물이 등장하는 비주얼 이펙트의 사실감을 극대화시켰다. TV의 실시간 녹화를 지원하기 위하여 GPU 프로그래밍을 도입하여 VFX의 실시간 상호작용을 지원하는 기능도 추가하였다. 제안된 방법의 유용성은 물, 불, 연기, 바다 속 물고기 떼 등의 VFX 시뮬레이션과 연기자와의 상호작용 실험을 통하여 확인할 수 있었다.

• 한국농공학회:학술대회논문집
• /
• 한국농공학회 2003년도 학술발표논문집
• /
• pp.515-518
• /
• 2003

Mathematical models can be used to evaluate the effects of operational alternatives of dam on the downstream aquatic environment. An unsteady, one-dimensional water quality model, CE-QUAL-RIVI was calibrated and validated in Geum river as a sub model for the realtime water management system in the basin. The main usage of the model within the system is to predict the effects of flow regulation by Daecheong Dam on the downstream water quality. The validated model was then used to simulate dynamic water quality changes at several key stations responding to different scenarios of reservoir releases under a hypothetical spill condition. The model showed fairly good performance in the simulation of hydrodynamic and mass transport processes under highly unsteady conditions.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2000년도 하계학술대회 논문집 D
• /
• pp.2949-2952
• /
• 2000

A new neural networks and learning algorithm are proposed in order to measure nonlinear heights of complexed road environments in realtime without pre-information. This new neural networks is Error Self Recurrent Neural Networks(ESRN), The structure of it is similar to recurrent neural networks: a delayed output as the input and a delayed error between the output of plant and neural networks as a bias input. In addition, we compute the desired value of hidden layer by an optimal method instead of transfering desired values by back-propagation and each weights are updated by RLS(Recursive Least Square). Consequently. this neural networks are not sensitive to initial weights and a learning rate, and have a faster convergence rate than conventional neural networks. We can estimate nonlinear models in realtime by ESRN and learning algorithm and control nonlinear models. To show the performance of this one. we control 7 degree of freedom full car model with several control method. From this simulation. this estimation and controller were proved to be effective to the measurements of nonlinear road environment systems.