The Experts below are selected from a list of 189 Experts worldwide ranked by ideXlab platform

M. Zhu - One of the best experts on this subject based on the ideXlab platform.

  • ICRA - Experiments with transparent teleoperation under position and rate control
    Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C), 1
    Co-Authors: Wen-hong Zhu, Septimiu E. Salcudean, M. Zhu
    Abstract:

    A four-Channel Data Transmission structure has been proposed in the literature to achieve "transparency" for master-slave teleoperator systems under both position and rate control. In this paper, experimental results for a one degree-of-freedom system are given to demonstrate that the proposed scheme possesses good stability and transparency under both position and rate control in contact with both flexible and rigid environments. A unilateral constraint correction under rate control is also discussed.

  • IROS (2) - Achieving transparency for teleoperator systems under position and rate control
    Proceedings 1995 IEEE RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots, 1
    Co-Authors: M. Zhu, Septimiu E. Salcudean
    Abstract:

    A four-Channel Data Transmission structure has been suggested in the literature to achieve "transparency" for master-slave teleoperator systems under position control. In this paper, the result is generalized to include teleoperator systems that are under rate control or more general master-slave kinematic correspondence laws, such as a mixed position/rate mode. A one degree-of-freedom example is given to outline the design and analysis of such a system for transparency and stability.

Septimiu E. Salcudean - One of the best experts on this subject based on the ideXlab platform.

  • ICRA - Experiments with transparent teleoperation under position and rate control
    Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C), 1
    Co-Authors: Wen-hong Zhu, Septimiu E. Salcudean, M. Zhu
    Abstract:

    A four-Channel Data Transmission structure has been proposed in the literature to achieve "transparency" for master-slave teleoperator systems under both position and rate control. In this paper, experimental results for a one degree-of-freedom system are given to demonstrate that the proposed scheme possesses good stability and transparency under both position and rate control in contact with both flexible and rigid environments. A unilateral constraint correction under rate control is also discussed.

  • IROS (2) - Achieving transparency for teleoperator systems under position and rate control
    Proceedings 1995 IEEE RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots, 1
    Co-Authors: M. Zhu, Septimiu E. Salcudean
    Abstract:

    A four-Channel Data Transmission structure has been suggested in the literature to achieve "transparency" for master-slave teleoperator systems under position control. In this paper, the result is generalized to include teleoperator systems that are under rate control or more general master-slave kinematic correspondence laws, such as a mixed position/rate mode. A one degree-of-freedom example is given to outline the design and analysis of such a system for transparency and stability.

Wen-hong Zhu - One of the best experts on this subject based on the ideXlab platform.

  • ICRA - Experiments with transparent teleoperation under position and rate control
    Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C), 1
    Co-Authors: Wen-hong Zhu, Septimiu E. Salcudean, M. Zhu
    Abstract:

    A four-Channel Data Transmission structure has been proposed in the literature to achieve "transparency" for master-slave teleoperator systems under both position and rate control. In this paper, experimental results for a one degree-of-freedom system are given to demonstrate that the proposed scheme possesses good stability and transparency under both position and rate control in contact with both flexible and rigid environments. A unilateral constraint correction under rate control is also discussed.

Xianbin Wang - One of the best experts on this subject based on the ideXlab platform.

  • Joint CSI Estimation, Beamforming and Scheduling Design for Wideband Massive MIMO System
    2018 IEEE International Conference on Communications (ICC), 2018
    Co-Authors: Tadilo Endeshaw Bogale, Long Bao Le, Xianbin Wang
    Abstract:

    This paper proposes a novel approach for designing Channel estimation, beamforming and scheduling jointly for wideband massive multiple input multiple output (MIMO) systems. With the proposed approach, we first quantify the maximum number of user equipments (UEs) that can send pilots which may or may not be orthogonal. Specifically, when the Channel has a maximum of ℒ multipath taps, and we allocate $\tilde{M}$ sub-carriers for the Channel state information (CSI) estimation, a maximum of $\tilde{M}$ UEs' CSI can be estimated (ℒ times compared to the conventional CSI estimation approach) in a massive MIMO regime. Then, we propose to schedule a subset of these UEs using greedy based scheduling to transmit their Data on each sub-carrier with the proposed joint beamforming and scheduling design. We employ the well known maximum ratio combiner (MRC) beamforming approach for the uplink Channel Data Transmission. All the analytical expressions are validated via numerical results, and the superiority of the proposed design over the conventional orthogonal frequency division multiplexing (OFDM) Transmission approach is demonstrated using extensive numerical simulations in the long term evolution (LTE) Channel environment. The proposed Channel estimation and beamforming design is linear and simple to implement.

  • ICC - Joint CSI Estimation, Beamforming and Scheduling Design for Wideband Massive MIMO System
    2018 IEEE International Conference on Communications (ICC), 2018
    Co-Authors: Tadilo Endeshaw Bogale, Xianbin Wang
    Abstract:

    This paper proposes a novel approach for designing Channel estimation, beamforming and scheduling jointly for wideband massive multiple input multiple output (MIMO) systems. With the proposed approach, we first quantify the maximum number of user equipments (UEs) that can send pilots which may or may not be orthogonal. Specifically, when the Channel has a maximum of ℒ multipath taps, and we allocate $\tilde{M}$ sub-carriers for the Channel state information (CSI) estimation, a maximum of $\tilde{M}$ UEs' CSI can be estimated (ℒ times compared to the conventional CSI estimation approach) in a massive MIMO regime. Then, we propose to schedule a subset of these UEs using greedy based scheduling to transmit their Data on each sub-carrier with the proposed joint beamforming and scheduling design. We employ the well known maximum ratio combiner (MRC) beamforming approach for the uplink Channel Data Transmission. All the analytical expressions are validated via numerical results, and the superiority of the proposed design over the conventional orthogonal frequency division multiplexing (OFDM) Transmission approach is demonstrated using extensive numerical simulations in the long term evolution (LTE) Channel environment. The proposed Channel estimation and beamforming design is linear and simple to implement.

Weijun Qin - One of the best experts on this subject based on the ideXlab platform.

  • Discovering Human Presence Activities with Smartphones Using Nonintrusive Wi-Fi Sniffer Sensors: The Big Data Prospective:
    International Journal of Distributed Sensor Networks, 2013
    Co-Authors: Weijun Qin, Jiadi Zhang, Limin Sun
    Abstract:

    With the explosive growth and wide-spread use of smartphones with Wi-Fi enabled, people are used to accessing the internet through Wi-Fi network interfaces of smartphones. Smartphones periodically transmit Wi-Fi messages, even when not connected to a network. In this paper, we describe the Mo-Fi system which monitors and aggregates large numbers of continuous Wi-Fi message Transmissions from nearby smartphones in the area of interest using nonintrusive Wi-Fi sniffer sensors. In this paper, we propose an optimized Wi-Fi Channel detection and selection method to switch the best Channels automatically to aggregate the Wi-Fi messages based on Channel Data Transmission weights and human presence activity classification method based on the features of human dwell duration sequences in order to evaluate the user engagement index. By deploying in the real-world office environment, we found that the performance of Wi-Fi messages aggregation of CAOCA and CACFA algorithms is over 3.8 times higher than the worst Channel of FCA algorithms and about 76% of the best Channel of FCA algorithms, and the human presence detection rate reached 87.4%.

  • HPCC/EUC - Mo-Fi: Discovering Human Presence Activity with Smartphones Using Non-intrusive Wi-Fi Sniffers
    2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquito, 2013
    Co-Authors: Weijun Qin, Jiadi Zhang, Hongsong Zhu, Yuyan Sun
    Abstract:

    With the explosive growth and wide spread of smartphones with Wi-Fi enabled, people are used to accessing the internet through Wi-Fi network interfaces of smartphones. In the meanwhile, smartphones periodically transmit Wi-Fi messages, even when not to connect to a network. In this paper, we describes the Mo-Fi system which monitors and aggregates Wi-Fi message Transmissions in the area of interest using non-intrusive Wi-Fi sniffers. In this paper, we proposes an optimized Wi-Fi Channel detection and selection method to switch the best Channels automatically to aggregate the Wi-Fi messages based on Channel Data Transmission weights, and human presence activity classification method based on the features of human dwell duration sequence in order to evaluate the user engagement index. By deploying in the real-world office environment, we found that the performance of Wi-Fi messages aggregation of CAOCA and CACFA algorithms is over 3.8 times than the worst Channel of FCA algorithms and about 76% than the best Channel of FCA algorithms, and the human presence detection rate reaches 87.4%.