• Title/Summary/Keyword: direct tracking

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Scenario and Content Design System for Immersive Stage Direction (몰입형 무대 연출을 위한 시나리오 및 콘텐츠 설계 시스템)

  • Wen, Mingyun;Xi, Yulong;Kook, Yoonchang;Hong, Tony;Kim, Junoh;Cho, Kyungeun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.04a
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    • pp.1079-1080
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    • 2017
  • Today multimedia technologies are playing an increasingly important role in games, movies, and live performances. In this paper, we design a flexible interactive system integrated with gesture recognition, skeleton tracking, internet communication, and content edition using multi-sensors to direct and control the performance on stage. In this system, the performer can control the elements showed on stage through corresponding gestures and body movements during the performance. The system provides an easier way for users to change the content of the performance if they intent to do.

Control of a Single Phase Unified Power Quality Conditioner-Distributed Generation Based Input Output feedback Linearization

  • Mokhtarpour, A.;Shayanfar, H.A.;Bathaee, M.;Banaei, M.R.
    • Journal of Electrical Engineering and Technology
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    • v.8 no.6
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    • pp.1352-1364
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    • 2013
  • This paper describes a novel structure for single phase Unified Power Quality Conditioner-Distributed Generation (UPQC-DG) with direct grid connected DC-AC converter for low DC output DG systems which can be used not only for compensation of power quality problems but also for supplying of load power partly. This converter has been composed of one full-bridge inverter, one three winding high frequency transformer with galvanic isolation and two cycloconverters. Proper control based on Input Output feedback Linearization is used to tracking the reference signals. The simulation and experimental results are presented to confirm the validity of the proposed approach.

A Study on Optimized Adaptive Control of Nonlinear Plants Using Neural Network (적응 신경망을 이용한 동적 플랜트의 최적 제어에 관한 연구)

  • Cho, Hyun-Seob;Roh, Yong-Gi;Jang, Sung-Whan
    • Proceedings of the KIEE Conference
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    • 2006.07d
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    • pp.1949-1950
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    • 2006
  • In this paper, a direct controller for nonlinear plants using a neural network is presented. The controller is composed of an approximate controller and a neural network auxiliary controller. The approximate controller gives the rough control and the neural network controller gives the complementary signal to further reduce the output tracking error. This method does not put too much restriction on the type of nonlinear plant to be controlled. In this method, a RBF neural network is trained and the system has a stable performance for the inputs it has been trained for. Simulation results show that it is very effective and can realize a satisfactory control of the nonlinear system.

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An Realtime People Tracking Algorithm using Particle Filter (파티클 필터를 이용한 실시간 인물추적 알고리즘 구현)

  • Park, Jung-Hoon;Park, Jin-Bae;Yoon, Tae-Sung
    • Proceedings of the KIEE Conference
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    • 2005.07d
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    • pp.2768-2770
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    • 2005
  • 컴퓨터 비젼은 지난 30년간 빠른 속도로 발전해왔다. 1970년대 초에는 인공지능분야가 굉장히 다양하게 연구되었는데, 그중 Condensation 알고리즘으로 알려진 블레이크 교수의 연구를 시작으로 많은 연구자들이 이 알고리즘을 연구하기 시작했다. 초기 단계에서 이 알고리즘은 파티클 필터라고 알려져 있고, 근래 신호처리 분야에서 두각을 나타내고 있다 하지만 파티클 필터는 내부적인 계산과정 때문에 FrameGrabber가 필요하게 되어 하드웨어 없이는 실시간 처리가 힘들고, 1분에 30프레임의 동영상 규격보다 훨씬 더 많은 50프레임을 사용하고 있다. 이에 본 논문에서는 동영상처리기법에 있어서 DirectX 기반의 제안된 프레임 컨트롤이라는 기법을 사용하여, 변화하는 동영상에 능동적으로 반응하는 하드웨어 없는 프레임 레이트(Framerate) 컨트롤 엔진을 사용하여, 실시간 인물 추적 알고리즘을 구현하려 한다.

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Direct Missile Bending Frequency Estimation using the Robust Kalman Filter (강인 칼만필터를 이용한 유도탄 기체 진동 주파수 추정기 설계)

  • Ra, Won-Sang;Whang, Ick-Ho
    • Proceedings of the KIEE Conference
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    • 2005.07d
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    • pp.2477-2479
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    • 2005
  • A robust bending frequency tracker is proposed to design the adaptive notch filter which removes the time-varying missile structural modes from the sensor measurements. To do this, the state-space form of a bending frequency model is derived under the assumption that the bending signal could be described as the lightly damped sinusoid. Since the resultant bending frequency model contains the parametric uncertainties in the measurement matrix, the design problem of bending frequency tracker is tackled by applying the robust Kalman filter to the model. This technique could be easily expanded to the multiple frequencies case because it newly illuminates the bending frequency tracking problem in view of general state estimation.

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Modeling, simulation and control strategy for the fuel cell process (모델링 및 전산모사를 통한 연료전지공정의 제어전략에 관한 연구)

  • 이상범;이익형;윤인섭
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.1012-1015
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    • 1996
  • This study focuses on the optimal operation and control strategy of the fuel cell process. The control objective of the Phosphoric Acid Fuel Cell (PAFC) is established and dynamic modeling equations of the entire fuel cell process are formulated as discrete-time type. On-line optimal control of the MIMO system employs the direct decomposition-coordination method. The objective function is modified as the tracking form to enhance the response capability to the load change. The weight factor matrices Q,R, which are design parameters, are readjusted. This control system is compared with LQI method and the results show that the suggested method is better than the traditional method in pressure difference control.

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Adaptive Sliding Mode Controller Design of Permanent Magnet Synchronous Generator for Variable-Speed Wind Turbine System (가변속 풍력 발전용 영구자석형 동기발전기의 적응 슬라이딩 모드 제어기 설계)

  • Kim, Seong-Soo;Choi, Han Ho
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.5
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    • pp.315-319
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    • 2016
  • This paper proposes a simple adaptive sliding mode control algorithm for controlling a permanent magnet synchronous generator (PMSG) of a MW-class direct-driven wind turbine system. The proposed adaptive sliding mode controller does not require accurate knowledge of the PMSG parameter or turbine torque values. The proposed controller can accurately track the reference angular speed computed by the maximum power point tracking(MPPT) algorithm. Finally, this paper gives Matlab/Simulink simulation results to verify the practicality and effectiveness of the proposed adaptive sliding mode controller.

Analysis of the battery charging and discharging system for spacecrafts (인공위성용 총방전 시스템의 해석)

  • 김영태;김희진
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.6
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    • pp.932-942
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    • 1995
  • A spacecraft power system can be divided into two types : DET system(Direct Energy Transfer system) and PPT system(Peak Power Tracking system). In a DET system employing the regulated bus voltage control method, the battery charger and discharger are widely used for the bus voltage regulation. The battery charger has two different modes of operation. One is the bus voltage regulation mode and the other is the charge current regulation mode. The battery discharger is employed to provide the power when the spacecraft is in the earth's shadow or the sun is eclipsed. The operating mode, charging or discharging, is selected by a power control circuit. In this paper, small-signal dynamic characteristics of battery charging and discharging system are analyzed to facilitate design of control loop for optimum performance. Control loop designs in various operating modes are discussed. Anaylses are verified through experiments.

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Acquisition of PN sequence by neural netowrks in direct-sequence spread-spectrum systems (신경망을 이용한 DS/SS 시스템의 PN 코드의 초기 동기)

  • 이상목;유철우;강창언;홍대식
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.33A no.7
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    • pp.44-54
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    • 1996
  • In DS/SS systems it is necessary to synchronize the locally generated despreading signal with the received spreading signal to demodulate the received signal. The synch process between the two signals is usually accomplished in two steps : first acquisition then tracking. In this paper, an acquisition system aided by the neural network is proposed for the rapid and exact acquisition in DS/SS. the neural netowrk is composed o fthree-layered perpecptrons and trained by the backpropagation algorithm. The performance of the proposed system is analyzed and compared with ones of conventional systems using the sequential estimation technique under an additive while gaussian noisy channel. In all of th econsidered simulations, the proposed system outperforms conventional systems.

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A model reference adaptive fuzzy control for MIMO Takagi-Sugeno fuzzy model (MIMO Takagi-Sugeno 퍼지 모델을 위한 모델참조 적응 퍼지 제어기의 설계)

  • Cho, Young-Wan
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.1
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    • pp.130-135
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    • 2007
  • In this paper, a direct model reference adaptive fuzzy control (MRAFC) scheme is developed for the plant model whose structure is represented by the MIMO Takagi-Sugeno fuzzy model. The MRAFC scheme is proposed to provide asymptotic tracking of a reference signal lot the systems with uncertain or slowly time-varying parameters. The developed control law and adaptive law guarantee that all signals in the closed-loop system are bounded. In addition, the plant state tracks the state of the reference model asymptotically with time tot any bounded reference input signal.