Fault recovery is vital to WSNs since node death is a typical fault. Aiming to recover the "coverage hole", a Recovery Algorithm based on Minimum Distance Redundant Nodes (MDRN) is proposed in this paper. By...
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Fault recovery is vital to WSNs since node death is a typical fault. Aiming to recover the "coverage hole", a Recovery Algorithm based on Minimum Distance Redundant Nodes (MDRN) is proposed in this paper. By employing redundant nodes carefully, the recovery algorithm is deployed on the sink node with unconstrained energy consumption which knows the locations of all active nodes and redundant nodes in the WSNs. Simulation results demonstrate that, by choosing appropriate number of redundant nodes, this algorithm will have great recovery accuracy and coverage quality, also achieve the purpose of prolonging the lifecycle of WSNs.
This work proposed a real-time 3D map building system based on the visual odometry information derived from a Multi-Camera hardware. The accurate odometry information and images derived from the proposed intuitive Mul...
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There are many types of bio-signals with various control application prospects. In this work possible control application domain of electroencephalographic signal obtained from an easily available, inexpensive EEG hea...
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This paper deals with the Maximum Power Point Tracking (MPPT) for photovoltaic energy system. It includes photovoltaic array panel, DC/DC converter, and load. The operating point for photovoltaic energy system depends...
This paper deals with the Maximum Power Point Tracking (MPPT) for photovoltaic energy system. It includes photovoltaic array panel, DC/DC converter, and load. The operating point for photovoltaic energy system depends on climatic parameters and load. For each temperature and irradiation pair, there exists only one optimal operating point which corresponds to the maximum power transmitted to the load. The photovoltaic energy system is described by nonlinear equations. It is transformed into an augmented system which is described with a Takagi-Sugeno (T-S) fuzzy model. The proposed MPPT algorithm which permits transfering the maximum power from the panel to the load is based on Parallel Distributed Compensation method (PDC). The control parameters have been computed based on Linear Matrix Inequalities tools (LMI). The Lyapunov approach has been used to prove the stability of the system. Some reliable simulation results are provided to check the efficiency of the proposed algorithm.
This paper addresses the problem of reducing the number of transmissions and control updates in a distributed control network of interconnected linear systems. Each node in the network decides when to transmit its sta...
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ISBN:
(纸本)9781467357159
This paper addresses the problem of reducing the number of transmissions and control updates in a distributed control network of interconnected linear systems. Each node in the network decides when to transmit its state through the network and when to update the control law. Both decisions are event-driven and based on local information. It is shown that the stability of the system is preserved and the state of the system converges to a small region around the origin, whose size depends on the parameters of the transmission and control update trigger functions. A strictly positive lower bound for the inter-event times is derived. The results are illustrated through simulations showing the effectiveness of the proposed approach.
In this paper, a kind of high speed and parallel hardware architecture is designed with one TMS320C6678 and one XC6VSX315T. This system is used for the pulsed Doppler radar. To map the algorithm effectively, pipeline ...
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ISBN:
(纸本)9781849196031
In this paper, a kind of high speed and parallel hardware architecture is designed with one TMS320C6678 and one XC6VSX315T. This system is used for the pulsed Doppler radar. To map the algorithm effectively, pipeline optimization on system and instruction levels are adopted, and various factors are taken into consideration, such as system complexity, communication between the processors, bandwidth of output signal.
The design, characterization and control of a novel 2-DOF MEMS nanopositioner is presented, with Z-shaped electrothermal actuators being used to position the device's central stage. Whereas the more commonly-used ...
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The benefits of decreasing the quality (Q) factor of an Atomic Force Microscope (AFM) micro-cantilever, when operating in tapping mode, using passive piezoelectric shunt control have been previously demonstrated. A pa...
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The benefits of decreasing the quality (Q) factor of an Atomic Force Microscope (AFM) micro-cantilever, when operating in tapping mode, using passive piezoelectric shunt control have been previously demonstrated. A passive electrical impedance is placed in series with the cantilever oscillation voltage to control the Q factor of the cantilever. The amount of Q factor reduction obtainable using this method is limited due to the passive nature of the shunt impedance. This work demonstrates that further decreases in the cantilever Q factor may be obtained through the use of an active impedance. The active impedance is designed in such a way that the piezoelectric shunt controller emulates a PPF controller in a displacement feedback loop. The damping obtained with this controller is compared with the maximum damping obtainable with a passive impedance.
This paper describes a novel mobility assistive device under development in the Egypt-Japan University of Science and Technology (E-JUST). The proposed system can help patients who do not have enough physical strength...
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There are many types of bio-signals with various control application prospects. In this work possible control application domain of electroencephalographic signal obtained from an easily available, inexpensive EEG hea...
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There are many types of bio-signals with various control application prospects. In this work possible control application domain of electroencephalographic signal obtained from an easily available, inexpensive EEG headset - Emotiv EPOC was presented. This work also involved application of an embedded system platform. That solution caused limits in choosing an appropriate signal processing method, as embedded platforms characterise with a little efficiency and low computing power. Potential implementation of the embedded platform enables to extend the possible future application of the proposed BCI. It also gives more flexibility, as the platform is able to simulate various environments. In this work traditional, statistical methods were neither used nor described.
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