• Title/Summary/Keyword: Delay Tracking

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Development of Eye-Tracking System Using Dual Machine Learning Structure (이중 기계학습 구조를 이용한 안구이동추적 기술개발)

  • Gang, Gyeong Woo;Min, Chul Hong;Kim, Tae Seon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.7
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    • pp.1111-1116
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    • 2017
  • In this paper, we developed bio-signal based eye tracking system using electrooculogram (EOG) and electromyogram (EMG) which measured simultaneously from same electrodes. In this system, eye gazing position can be estimated using EOG signal and we can use EMG signal at the same time for additional command control interface. For EOG signal processing, PLA algorithms are applied to reduce processing complexity but still it can guarantee less than 0.2 seconds of reaction delay time. Also, we developed dual machine learning structure and it showed robust and enhanced tracking performances. Compare to conventional EOG based eye tracking system, developed system requires relatively light hardware system specification with only two skin contact electrodes on both sides of temples and it has advantages on application to mobile equipments or wearable devices. Developed system can provide a different UX for consumers and especially it would be helpful to disabled persons with application to orthotics for those of quadriplegia or communication tools for those of intellectual disabilities.

A study on the ramp tracking controller for the Distributed Control Systems with Network-Induced Time Delays by $\mu$-control ($\mu$ 제어에 의한 네트웍의 시간 지연이 존재하는 분산제어시스템의 램프추종 제어기 설계에 관한 연구)

  • Kim, Yong-Ki;Lim, Dong-Jin
    • Proceedings of the KIEE Conference
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    • 1999.11c
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    • pp.506-508
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    • 1999
  • In the distributed control systems where the control components, controllers and sensors are distributed on a communications network, there exist network time delays on communication lines between the system components. This paper deals with the ramp tracking controller design issue for such systems. Time delay terms are converted into the rational terms using Pade approximation method and the system is augmented with two integrators for ramp tracking. For this system, $\mu$-controller design method, which enables to meet not only performance requirements but robust stabilities simultaneously, is employed.

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Ocean Feature Tracking Using Sequential SAR Images

  • Liu, Antony K.;Zhao, Yunhe;Hsu, Ming-Kuang
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.946-949
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    • 2006
  • With repeated coverage, spaceborne SAR (Synthetic Aperture Radar) instruments provide the most efficient means to monitor and study the changes in important elements of the marine environment. Due to highresolution of SAR data, the coverage of SAR sensor is always limited, especially for a repeat cycle. With more SAR sensors from various satellites, new data products such as ocean surface drift can be derived when two SARs' tracks overlap in a short time over coastal areas. Currently, there are two SAR sensors on different satellites with almost the exactly same path. That is, ERS-2 is following ENVISAT with a 30-minutes delay, which will be a good timing for ocean mesosclae feature tracking. For another application, a mystery ship near a big eddy with strong ship wake has been tracked between ERS-2 and ENVISAT SAR images to estimate its ship speed.

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A study on the 2 D.O.F. ramp tracking controller for the Distributed Control Systems with Network induced Time-Delays by $\mu$ control (분산 제어 시스템에서의 시간 지연 보상을 위한 2-자유도 $\mu$ 제어기 연구에 관한 연구)

  • Choi, Byung-Huk;Lim, Dong-Jin
    • Proceedings of the KIEE Conference
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    • 2001.11c
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    • pp.57-60
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    • 2001
  • In the distributed control systems where the control components, controllers and sensors are distributed on a communications network, there exit network time delays on communication lines between the system components. This paper deals with the 2 D.O.F. ramp tracking controller design issue for such system. Time delay terms are converted into rational terms using Pade approximation method and the system is augmented with two integrators for ramp tracking. For this system, $\mu$-controller design method, which enables to meet not only performance requirements but robust stabilities simultaneously, is employed.

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A study on the ramp tracking controller for the Distributed Control System with Network-induced Time Delays (네트웍의 시간 지연이 존재하는 분산제어시스템의 램프추종 제어기 설계에 관한 연구)

  • Kim, Yong-Ki;Lim, Dong-Jin
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.951-953
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    • 1999
  • In the distributed control systems where the control components, controllers and sensors are distributed on a communications network, there exist network time delays on communication lines between the system components. This paper deals with the ramp tracking controller design issue for such systems. Time delay terms are converted into the rational terms using Pade approximation method and the system is augmented with two integrators for ramp tracking. For this system, ${\mu}$-controller design method, which enables to meet not only performance requirements but robust stabilities simultaneously, is employed.

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Development of real-time car tracking system with RGPS and its error analysis (RGPS를 이용한 실시간 차량관제시스템 구현과 오차분석)

  • Go, Sun-Jun;Lee, Ja-Sung
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.1
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    • pp.15-24
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    • 2000
  • Stand-alone global position system receiver based on C/A code tracking generates position error of 100m mainly due to the selective availability and ionospheric and tropospheric delay errors. The differential GPS is the most commonly used method for removing those bias range error components. The relative GPS, although somewhat restrictive in its use, is ideally suited to the car monitoring system for improved Automatic Vehicle location, especially where the DGPS infrastructure is not available. The RGPS does not require any additional hardware, facility or external infrastructure and can be operated within the system with existing host computer and communication link. This paper presents detailed description of the RGPS concept and its implementation for real-time data processing. Performance of RGPS is evaluated with real data and is compared with DGPS.

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A Maximum Likelihood Method of Code Tracking Loop Using Matched Filter in Multi-path Channel (다중경로 채널에서 정합필터를 이용한 코드 추적 루프최대 우도 알고리즘)

  • Son, Seung-Ho;Lee, Sang-Uk
    • Journal of Satellite, Information and Communications
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    • v.5 no.1
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    • pp.54-57
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    • 2010
  • The navigation system like GPS which is core technology is based on Code Division Multiple Access(CDMA) techniques. To receive satellite signal smoothly in CDMA, received signals have to synchronize with spread code. In this paper, we focus on the code tracking methods among synchronization techniques. The conventional delay lock loop(DLL) is unsuitable for multi-path channel. We will introduce how it overcomes distortion by multi-path. We will propose method that separates out multi-path signals and tracks the each path signals. And we will confirm performance of proposed method using Spirent simulator.

Fuzzy logic for a position prediction and manipulator control (퍼지로직을 이용한 위치 예측과 매니퓰레이터의 제어)

  • 이승환;임종태
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10a
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    • pp.152-155
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    • 1991
  • A solution to the problem of robot manipulator tracking of a smoothly moving object is given. It is shown that fuzzy prediction rule, fuzzy control can compensate the adverse effects of noise, time delay, unknown object trajectory, and robot modeling uncertainty. Simulations show that the fuzzy logic control results in acceptable precision,

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GPS/INS Integration using Vector Delay Lock Loop Processing Technique

  • Kim, Hyun-Soo;Bu, Sung-Chun;Jee, Gyu-In
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2641-2647
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    • 2003
  • Conventional DLLs estimate the delay times of satellite signals individually and feed back these measurements to the VCO independently. But VDLL estimates delay times and user position directly and then estimate the feedback term for VCO using the estimated position changes. In this process, input measurements are treated as vectors and these vectors are used for navigation. First advantage of VDLL is that noise is reduced in all of the tracking channels making them less likely to enter the nonlinear region and fall below threshold. Second is that VDLL can operate successfully when the conventional independent parallel DLL approach fails completely. It means that VDLL receiver can get enough total signal power to track successfully to obtain accurate position estimates under the same conditions where the signal strength from each individual satellite is so low or week that none of the individual scalar DLL can remain in lock when operating independently. To operate VDLL successfully, it needs to know the initial user dynamics and position and prevents total system from the divergence. The suggested integration method is to use the inertial navigation system to provide initial dynamics for VDLL and to maintain total system stable. We designed the GPS/INS integrated navigation system. This new type of integrated system contained the vector pseudorange format generation block, VDLL signal processing block, position estimation block and the conversion block from position change to delay time feedback term aided by INS.

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Time delay estimation by iterative Wiener filter based recursive total least squares algorithm (반복형 위너 필터 방법에 기반한 재귀적 완전 최소 제곱 방법을 사용한 시간 지연 추정 알고리즘)

  • Lim, Jun-Seok
    • The Journal of the Acoustical Society of Korea
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    • v.40 no.5
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    • pp.452-459
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    • 2021
  • Estimating the mutual time delay between two acoustic sensors is used in various fields such as tracking and estimating the location of a target in room acoustics and sonar. In the time delay estimation methods, there are a non-parametric method, such as Generalized Cross Correlation (GCC), and a parametric method based on system identification. In this paper, we propose a time delay estimation method based on the parametric method. In particular, we propose a method that considers the noise in each receiving acoustic sensor. Simulation confirms that the proposed algorithm is superior to the existing generalized cross-correlation and adaptive eigenvalue analysis methods in white noise and reverberation environments.