The Experts below are selected from a list of 11058 Experts worldwide ranked by ideXlab platform
Ryad Benosman - One of the best experts on this subject based on the ideXlab platform.
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sepia tarsier and chameleon a modular c framework for event based computer vision
Frontiers in Neuroscience, 2020Co-Authors: Alexandre Marcireau, Siohoi Ieng, Ryad BenosmanAbstract:: This paper introduces an new open-source, header-only and modular C++ framework to facilitate the implementation of event-driven algorithms. The framework relies on three independent components: sepia (file IO), tarsier (algorithms), and chameleon (display). Our benchmarks show that algorithms implemented with tarsier are faster and have a lower latency than identical implementations in other state-of-the-art frameworks, thanks to static polymorphism (compile-time pipeline assembly). The Observer Pattern used throughout the framework encourages implementations that better reflect the event-driven nature of the algorithms and the way they process events, easing future translation to neuromorphic hardware. The framework integrates drivers to communicate with the DVS, the DAVIS, the Opal Kelly ATIS, and the CCam ATIS.
Hao Zhang - One of the best experts on this subject based on the ideXlab platform.
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Observer-Pattern Modeling and Nonlinear Modal Analysis of Two-Stage Boost Inverter
IEEE Transactions on Power Electronics, 2018Co-Authors: Hao Zhang, Honghui Ding, Weijie Li, Chuanzhi YiAbstract:This paper deals with modeling and nonlinear modal analysis of two-stage boost inverter. An Observer-Pattern modeling method is proposed to eliminate the time-variance effect from both fundamental component in the load stage and “hidden” second-harmonic one in the source stage. Then, based on the Observer-Pattern model, the nonlinear modal analysis method is applied to obtain a closed-form analytical representation of the nonlinear system, which yields a great deal of physical insight into the system dynamics. First, fundamental modal analysis is calculated to indicate the correlation between fundamental modes, state variables, and circuit parameters. Such key parameters as C1 and T3 are found to be beneficial to the dynamical performance of the whole system. Second, the second-order nonlinear interaction indices are proposed to uncover the underlying mechanism of nonlinear interaction behaviors, and the relationship between modal interaction and system parameters is explored quantitatively. Finally, theoretical analysis is verified by circuit experiments. These results are beneficial to the improvement of transient performance as well as the understanding of the nonlinear interactions in transient behavior.
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Observer Pattern modeling and slow scale bifurcation analysis of two stage boost inverters
International Journal of Bifurcation and Chaos, 2017Co-Authors: Hao Zhang, Xiaojin Wan, Honghui DingAbstract:This paper deals with modeling and bifurcation analysis of two-stage Boost inverters. Since the effect of the nonlinear interactions between source-stage converter and load-stage inverter causes the “hidden” second-harmonic current at the input of the downstream H-bridge inverter, an Observer-Pattern modeling method is proposed by removing time variance originating from both fundamental frequency and hidden second harmonics in the derived averaged equations. Based on the proposed Observer-Pattern model, the underlying mechanism of slow-scale instability behavior is uncovered with the help of eigenvalue analysis method. Then eigenvalue sensitivity analysis is used to select some key system parameters of two-stage Boost inverter, and some behavior boundaries are given to provide some design-oriented information for optimizing the circuit. Finally, these theoretical results are verified by numerical simulations and circuit experiment.
Alexandre Marcireau - One of the best experts on this subject based on the ideXlab platform.
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sepia tarsier and chameleon a modular c framework for event based computer vision
Frontiers in Neuroscience, 2020Co-Authors: Alexandre Marcireau, Siohoi Ieng, Ryad BenosmanAbstract:: This paper introduces an new open-source, header-only and modular C++ framework to facilitate the implementation of event-driven algorithms. The framework relies on three independent components: sepia (file IO), tarsier (algorithms), and chameleon (display). Our benchmarks show that algorithms implemented with tarsier are faster and have a lower latency than identical implementations in other state-of-the-art frameworks, thanks to static polymorphism (compile-time pipeline assembly). The Observer Pattern used throughout the framework encourages implementations that better reflect the event-driven nature of the algorithms and the way they process events, easing future translation to neuromorphic hardware. The framework integrates drivers to communicate with the DVS, the DAVIS, the Opal Kelly ATIS, and the CCam ATIS.
Chuanzhi Yi - One of the best experts on this subject based on the ideXlab platform.
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Observer-Pattern Modeling and Nonlinear Modal Analysis of Two-Stage Boost Inverter
IEEE Transactions on Power Electronics, 2018Co-Authors: Hao Zhang, Honghui Ding, Weijie Li, Chuanzhi YiAbstract:This paper deals with modeling and nonlinear modal analysis of two-stage boost inverter. An Observer-Pattern modeling method is proposed to eliminate the time-variance effect from both fundamental component in the load stage and “hidden” second-harmonic one in the source stage. Then, based on the Observer-Pattern model, the nonlinear modal analysis method is applied to obtain a closed-form analytical representation of the nonlinear system, which yields a great deal of physical insight into the system dynamics. First, fundamental modal analysis is calculated to indicate the correlation between fundamental modes, state variables, and circuit parameters. Such key parameters as C1 and T3 are found to be beneficial to the dynamical performance of the whole system. Second, the second-order nonlinear interaction indices are proposed to uncover the underlying mechanism of nonlinear interaction behaviors, and the relationship between modal interaction and system parameters is explored quantitatively. Finally, theoretical analysis is verified by circuit experiments. These results are beneficial to the improvement of transient performance as well as the understanding of the nonlinear interactions in transient behavior.
Honghui Ding - One of the best experts on this subject based on the ideXlab platform.
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Observer-Pattern Modeling and Nonlinear Modal Analysis of Two-Stage Boost Inverter
IEEE Transactions on Power Electronics, 2018Co-Authors: Hao Zhang, Honghui Ding, Weijie Li, Chuanzhi YiAbstract:This paper deals with modeling and nonlinear modal analysis of two-stage boost inverter. An Observer-Pattern modeling method is proposed to eliminate the time-variance effect from both fundamental component in the load stage and “hidden” second-harmonic one in the source stage. Then, based on the Observer-Pattern model, the nonlinear modal analysis method is applied to obtain a closed-form analytical representation of the nonlinear system, which yields a great deal of physical insight into the system dynamics. First, fundamental modal analysis is calculated to indicate the correlation between fundamental modes, state variables, and circuit parameters. Such key parameters as C1 and T3 are found to be beneficial to the dynamical performance of the whole system. Second, the second-order nonlinear interaction indices are proposed to uncover the underlying mechanism of nonlinear interaction behaviors, and the relationship between modal interaction and system parameters is explored quantitatively. Finally, theoretical analysis is verified by circuit experiments. These results are beneficial to the improvement of transient performance as well as the understanding of the nonlinear interactions in transient behavior.
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Observer Pattern modeling and slow scale bifurcation analysis of two stage boost inverters
International Journal of Bifurcation and Chaos, 2017Co-Authors: Hao Zhang, Xiaojin Wan, Honghui DingAbstract:This paper deals with modeling and bifurcation analysis of two-stage Boost inverters. Since the effect of the nonlinear interactions between source-stage converter and load-stage inverter causes the “hidden” second-harmonic current at the input of the downstream H-bridge inverter, an Observer-Pattern modeling method is proposed by removing time variance originating from both fundamental frequency and hidden second harmonics in the derived averaged equations. Based on the proposed Observer-Pattern model, the underlying mechanism of slow-scale instability behavior is uncovered with the help of eigenvalue analysis method. Then eigenvalue sensitivity analysis is used to select some key system parameters of two-stage Boost inverter, and some behavior boundaries are given to provide some design-oriented information for optimizing the circuit. Finally, these theoretical results are verified by numerical simulations and circuit experiment.
