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Adaptive Hybrid

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Shengdong Zhao – One of the best experts on this subject based on the ideXlab platform.

  • the Adaptive Hybrid cursor a pressure based target selection technique for pen based user interfaces
    International Conference on Human-Computer Interaction, 2007
    Co-Authors: Shengdong Zhao, Yang Li
    Abstract:

    We present the Adaptive Hybrid Cursor, a novel target acquisition technique for pen-based interfaces. To assist a user in a target selection task, this technique automatically adapts the size of the cursor and/or its contexts (the target size and the selection background) based on pen pressure input. We systematically evaluated the new technique with various 2D target acquisition tasks. The experimental results indicated that the Adaptive Hybrid Cursor had better selection performance, and was particularly effective for small-target and high-density environments in which the regular cursor and the Bubble Cursor [13] failed to show significant advantages. The Adaptive Hybrid Cursor is a novel way to improve target acquisition via pressure input, and our study demonstrated its viability and potential for pen-based interfaces.

  • INTERACT (1) – The Adaptive Hybrid cursor: a pressure-based target selection technique for pen-based user interfaces
    Lecture Notes in Computer Science, 2007
    Co-Authors: Xiangshi Ren, Jibin Yin, Shengdong Zhao
    Abstract:

    We present the Adaptive Hybrid Cursor, a novel target acquisition technique for pen-based interfaces. To assist a user in a target selection task, this technique automatically adapts the size of the cursor and/or its contexts (the target size and the selection background) based on pen pressure input. We systematically evaluated the new technique with various 2D target acquisition tasks. The experimental results indicated that the Adaptive Hybrid Cursor had better selection performance, and was particularly effective for small-target and high-density environments in which the regular cursor and the Bubble Cursor [13] failed to show significant advantages. The Adaptive Hybrid Cursor is a novel way to improve target acquisition via pressure input, and our study demonstrated its viability and potential for pen-based interfaces.

Xia Peng – One of the best experts on this subject based on the ideXlab platform.

  • Traffic-Adaptive Hybrid MAC Protocol for Wireless Sensor Network
    Computer Engineering, 2008
    Co-Authors: Xia Peng
    Abstract:

    This paper proposes a Traffic-Adaptive Hybrid MAC(THMAC) protocol for wireless sensor networks.THMAC combines the advantages of TDMA and CSMA,tracks the situation of traffic and collision through forecasting mechanism,which lets node choice different channel access mode under different load,and efforts to achieve the Adaptive mixed of CSMA and TDMA,which reduces the probability of data conflicting while striving to maintain higher channel utilization.Simulation results show that the THMAC can effectively lower the network data conflicting rate,and maintains a higher throughput when the number of contenders changes.

Xiangshi Ren – One of the best experts on this subject based on the ideXlab platform.

  • INTERACT (1) – The Adaptive Hybrid cursor: a pressure-based target selection technique for pen-based user interfaces
    Lecture Notes in Computer Science, 2007
    Co-Authors: Xiangshi Ren, Jibin Yin, Shengdong Zhao
    Abstract:

    We present the Adaptive Hybrid Cursor, a novel target acquisition technique for pen-based interfaces. To assist a user in a target selection task, this technique automatically adapts the size of the cursor and/or its contexts (the target size and the selection background) based on pen pressure input. We systematically evaluated the new technique with various 2D target acquisition tasks. The experimental results indicated that the Adaptive Hybrid Cursor had better selection performance, and was particularly effective for small-target and high-density environments in which the regular cursor and the Bubble Cursor [13] failed to show significant advantages. The Adaptive Hybrid Cursor is a novel way to improve target acquisition via pressure input, and our study demonstrated its viability and potential for pen-based interfaces.

Jibin Yin – One of the best experts on this subject based on the ideXlab platform.

  • INTERACT (1) – The Adaptive Hybrid cursor: a pressure-based target selection technique for pen-based user interfaces
    Lecture Notes in Computer Science, 2007
    Co-Authors: Xiangshi Ren, Jibin Yin, Shengdong Zhao
    Abstract:

    We present the Adaptive Hybrid Cursor, a novel target acquisition technique for pen-based interfaces. To assist a user in a target selection task, this technique automatically adapts the size of the cursor and/or its contexts (the target size and the selection background) based on pen pressure input. We systematically evaluated the new technique with various 2D target acquisition tasks. The experimental results indicated that the Adaptive Hybrid Cursor had better selection performance, and was particularly effective for small-target and high-density environments in which the regular cursor and the Bubble Cursor [13] failed to show significant advantages. The Adaptive Hybrid Cursor is a novel way to improve target acquisition via pressure input, and our study demonstrated its viability and potential for pen-based interfaces.

Ming-che Chen – One of the best experts on this subject based on the ideXlab platform.

  • Adaptive Hybrid type-2 intelligent sliding mode control for uncertain nonlinear multivariable dynamical systems
    Fuzzy Sets and Systems, 2011
    Co-Authors: Tsung-chih Lin, Ming-che Chen
    Abstract:

    A new Adaptive Hybrid interval type-2 fuzzy neural network (FNN) controller incorporating sliding mode and Lyapunov synthesis approaches is proposed in this paper to handle the training data corrupted by noise or rule uncertainties for a class of uncertain nonlinear multivariable dynamic systems. The Hybrid Adaptive FNN controller, the free parameters of which can be tuned on-line by an output feedback control law and Adaptive laws, is a combination of interval type-2 indirect and direct Adaptive FNN controllers to meet the requirement of sufficient reach for the sliding mode control. A weighting factor, which can be adjusted based on the trade-off between plant knowledge and control knowledge, is included when combining the control efforts of the indirect Adaptive FNN controller and the direct Adaptive FNN controller. The overall Adaptive control scheme guarantees the global stability of the resulting closed-loop system in the sense that all signals involved are uniformly bounded. The mass–spring–damper nonlinear system is fully illustrated to track sinusoidal signals. The resulting Adaptive Hybrid interval type-2 FNN control system shows better performance than the Adaptive Hybrid type-1 FNN control system; it reduces both the tracking error and the control effort and it is more flexible in the design process.