• 제목/요약/키워드: (backward) control

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과포화교통상태에서의 SPLIT COORDINATION신호제어전략 (Green-Split Coordination Strategy in Oversaturated Signal System)

  • 이광훈
    • 대한교통학회지
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    • 제11권1호
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    • pp.87-103
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    • 1993
  • The subject this paper is the signal control strategy under oversaturated conditions. The nature of traffic control for oversaturation is essentially different from the standard control modes. While under non-saturated situation traffic control is needed for the sake of safety and efficiency, the throughput is essential under oversaturated conditions. Therefore berth objective and strategies differ. For an oversaturated stream the cycle time and the signal offset are thought to be of rather secondary importance. For this case the green split may well be the most important control variable to serve the excessive demand. Up to now, however, most efforts have concentrated on the strategy with the concept which lies just on the extension of Webster's. "Green-split Coordination Strategy for Over-Saturated Networks", presents newly contrived three types of strategies named Forward-coordination, Backward-coordination and Network-coordination respectively and describes the algorithms with the evaluations. The forward coordination strategy treats the forward wave of flow between two signals. The aim is to prevent the outbreak of queue due to the accumulation of temporary excess of demand in near-saturation or saturation flow. The backward coordination strategy treats the backward rave of flow between two signals. The goal is to prevent the waste of green time caused by the exit block at the upstream signal. for this purpose a feedback regulation is provided of the upstream green-split so that the inflow-outflow balance is kept zero. The resultant surplus of green time is alloted to other signal stages. Also here the examination is made of the appropriate value of the feedback control parameter. The network coordination strategy is operated to maximize the network throughput in a specific direction applying a bang-bang control at the bottleneck intersection. This is a type of intervenient control for policy reasons. For this strategy the green-split coordinations, particuarly the backward coordination, are essential as the tactical elements. In order to evaluate the preposed strategies those are compared with the latest existing strategy called saturation-degree-ratio control by the simulation experiments in an assumed 4$\times$4 grid network. The results are satisfactory showing a 10-15% reduction in delays and a 15% increase in network capacity.

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키네시오 테이핑을 병행한 후방보행훈련이 만성 뇌졸중 환자의 하지 근력 및 보행에 미치는 영향 (Effects of the kinesio taping with backward gait training on muscle strength of lower extremity and gait ability in post stroke patients)

  • 김경훈
    • 대한물리치료과학회지
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    • 제28권2호
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    • pp.10-18
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    • 2021
  • Purpose: The objective of the present study was to examine the effects of Kinesio taping with backward walking training (KTBW) on muscle strength of lower extremity and gait ability in post-stroke patients. Design: Randomized controlled trial. Method: Participants included 27 post stroke patients and were randomly distributed into two groups: KTBW group received Kinesio taping with backward training (n=13), control group receive general physical therapy (n=14). Intervention was given five times a week, a total of four weeks. The subjects evaluated the muscle strength test and walking ability before and 4 weeks after the experiment. Muslce strength of lower extremity was measured by digital manual muscle test. Gait ability was measured by G-walk. Result: After training, the KTBW group showed significant improvement in muscle strength of the lower extremity compared to the control group (p<0.05). KTBW group showed significant improvement in gait ability compared to the control group (p<0.05). Conclusion: These finding show the benefits of the Kinesio taping with backward walking training on the muscle strength of lower extremity and gait ability in post stroke patients.

A NUMERICAL SCHEME TO SOLVE NONLINEAR BSDES WITH LIPSCHITZ AND NON-LIPSCHITZ COEFFICIENTS

  • FARD OMID S.;KAMYAD ALl V.
    • Journal of applied mathematics & informatics
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    • 제18권1_2호
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    • pp.73-93
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    • 2005
  • In this paper, we attempt to present a new numerical approach to solve non-linear backward stochastic differential equations. First, we present some definitions and theorems to obtain the conditions, from which we can approximate the non-linear term of the backward stochastic differential equation (BSDE) and we get a continuous piecewise linear BSDE correspond with the original BSDE. We use the relationship between backward stochastic differential equations and stochastic controls by interpreting BSDEs as some stochastic optimal control problems, to solve the approximated BSDE and we prove that the approximated solution converges to the exact solution of the original non-linear BSDE in two different cases.

Hybrid Controller of Neural Network and Linear Regulator for Multi-trailer Systems Optimized by Genetic Algorithms

  • Endusa, Muhando;Hiroshi, Kinjo;Eiho, Uezato;Tetsuhiko, Yamamoto
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.1080-1085
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    • 2005
  • A hybrid control scheme is proposed for the stabilization of backward movement along simple paths for a vehicle composed of a truck and six trailers. The hybrid comprises the combination of a linear quadratic regulator (LQR) and a neurocontroller (NC) that is trained by a genetic algorithm (GA). Acting singly, either the NC or the LQR are unable to perform satisfactorily over the entire range of the operation required, but the proposed hybrid is shown to be capable of providing good overall system performance. The evaluation function of the NC in the hybrid design has been modified from the conventional type to incorporate both the squared errors and the running steps errors. The reverse movement of the trailer-truck system can be modeled as an unstable nonlinear system, with the control problem focusing on the steering angle. Achieving good backward movement is difficult because of the restraints of physical angular limitations. Due to these constraints the system is impossible to globally stabilize with standard smooth control techniques, since some initial states necessarily lead to jack-knife locks. This paper demonstrates that a hybrid of neural networks and LQR can be used effectively for the control of nonlinear dynamical systems. Results from simulated trials are reported.

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Effect of Backward Versus Forward Lunge Exercises on Trunk Muscle Activities in Healthy Participants

  • Song, Jae-Keun;Yoo, Won-Gyu
    • 한국전문물리치료학회지
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    • 제28권4호
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    • pp.273-279
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    • 2021
  • Background: Lunge exercises are lower extremity rehabilitation and strengthening exercises for patients and athletes. Most studies have shown the effectiveness of the forward and backward lunge exercises for treating patellofemoral pain and anterior cruciate ligament injuries (by increasing lower extremity muscle activity) and improving kinematics. Objects: However, it is not known how the two different lunge movements affect trunk muscle activities in healthy individuals. The purpose of this study was to investigate the electromyographic activity of the rectus abdominis and erector spinae muscles during forward and backward lunge exercises in healthy participants. Methods: Twelve healthy participants were recruited. Electromyographic activity of the rectus abdominis and erector spinae was recorded using surface electrodes during forward and backward lunges, and subsequently normalized to the respective reference voluntary isometric contractions of each muscle. Results: Activity of the erector spinae was significantly higher than that of the rectus abdominis during all stages of the backward lunge (p < 0.05). The activity of the erector spinae was significantly greater during the backward than forward lunge at all stages (p < 0.05). Conclusion: Backward lunging is better able to enhance trunk motor control and activate the erector spinae muscles.

멀티미디어 혼잡제어 알고리즘에서의 회신경로 혼잡에 대한 영향 분석 (The Effect of Feedback Path Congestion on the Multimedia Congestion Control Algorithm)

  • 정기성;홍민철;유명식
    • 한국통신학회논문지
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    • 제30권7B호
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    • pp.481-488
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    • 2005
  • 멀티미디어 응용 서비스에 대한 요구가 증대됨에 따라 멀티미디어 혼잡제어 알고리즘에 대한 연구가 더욱 중요시되고 있다. 그러나 기존에 제안된 혼잡제어 알고리즘들은 혼잡 상황 판단을 위하여 RTT를 사용하기 때문에 데이터 전송 경로의 혼잡 상황과 회신 정보 회신 경로의 혼잡 상황을 정확히 구분하지 못하는 단점이 있다. 본 논문에서는 OTT를 사용하여 네트워크 혼잡 상황을 판단하도록 제안된 RRC-OTT(Receiver-based Rate Control with One-way Trip Time) 알고리즘의 장점을 활용하여 데이터 전송 경로와 회신 정보 회신 경로의 혼잡 상황 판단을 분리하도록 하였고, 특히 회신 경로의 혼잡 상황이 데이터 전송 경로에 미치는 영향을 최소화하는 알고리즘을 제안하였다. 제안된 알고리즘의 성능 평가를 통하여 기존 혼잡제어 알고리즘과 달리 RRC-OTT 알고리즘은 회신 경로의 혼잡 상황에 영향을 받지 않고 일정한 성능을 보임을 입증하였다.

POD를 사용한 3차원 후향계단 유동장 분석 예제 (EXAMPLES OF REDUCED ORDER MODELLING FOR A 3D BACKWARD FACING STEP FLOW USING POD TECHNIQUE)

  • 이광섭;이은석
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2010년 춘계학술대회논문집
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    • pp.40-42
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    • 2010
  • Unsteady CFD results of the backward facing step (BFS) flow field is reconstructed by the low-dimenstional modes using the POD (Proper Orthogonal Decomposition) technique. Flow responses to the blowing or suction with various frequencies and amplitudes applied at the edge of the BFS can also be analysed using the same technique. The present technique can be effectively applied to the feedback flow control device.

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종단간 순방향/역방향 전송지연 측정을 이용한 TCP Vegas의 성능 향상 (Performance Improvement of TCP Vegas Using Estimation of End-to-End Forward/Backward Delay Variation)

  • 신영숙;김은기
    • 정보처리학회논문지C
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    • 제13C권3호
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    • pp.353-358
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    • 2006
  • TCP 구현의 하나인 Vegas는 패킷의 유실을 망의 혼잡으로 인지하는 Reno와 달리 RTT(Round Trip Time) 측정값을 바탕으로 혼잡을 인지하며, 이를 이용하여 윈도우 크기 등 혼잡 제어를 위한 주요 인자를 결정한다. 그러나, Vegas의 혼잡 회피 방안이 TCP 패킷 경로의 비대칭적 특성을 제대로 반영하지 못하며, 이것은 양 방향(순방향, 역방향) 패킷 전송 상태를 반영하는 RTT 측정값을 순방향 경로의 상태 해석에 이용하기 때문이다. RTT는 패킷의 왕복 시간만을 측정하기 때문에 패킷의 송수신시 순방향과 역방향에서 어느 정도의 혼잡이 발생하였는지 알 수 없다. 본 논문에서는 리눅스 커널 2.6의 TCP 소스에서 RTT 측정값으로 혼잡도를 측정하는 기존의 Vegas 혼잡 제어 알고리즘을 수정하여 순방향 경로의 혼잡과 역방향 경로의 혼잡을 구별할 수 있는 새로운 Vegas 혼잡 제어 알고리즘을 설계하고 구현하여 그 성능을 분석하였다.

Viral 통신에서의 SEIR모델을 위한 최적제어 기법 (Optimal Control Scheme for SEIR Model in Viral Communications)

  • Radwan, Amr
    • 한국정보통신학회논문지
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    • 제20권8호
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    • pp.1487-1493
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    • 2016
  • 최근 SNS (Social Networking Services)를 통한 사용자들 간 정보 확산이 폭발적으로 증가하고 있다. SEIR (Susceptible-Exposed-Infectious-Recovered model)모델은 전염병 예측에 널리 사용되는 수학적 모델로, 이러한 정보 확산은 SEIR를 이용하여 모델링 할 수 있다. 본 논문에서는 SEIR모델을 이용하여 최적 제어 이론의 관점에서 SNS의 정보 확산 모델을 도출하였다. 본 논문에서는 PMP (Pontryagin's Minimum Principle)에 기반한 forward-backward algorithm을 제안하였다. 이 알고리즘은 전방과 후방으로 가면서 state와 adjoint equation들을 통합하면서 동작한다. 수치해석을 통해 정보 내용의 impact value와 birth rate이 작으면 작을수록 더 많은 노드들이 해로운 정보를 필터링하는 것을 보였다.