Data-recording device for aircraft requires high-speed, high-capacity and non-volatile storage. In the paper, we provide a good solution for high-speed large-capacity data logger. We use FPGA as controller, SDRAM as h...
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ISBN:
(纸本)9781479907571
Data-recording device for aircraft requires high-speed, high-capacity and non-volatile storage. In the paper, we provide a good solution for high-speed large-capacity data logger. We use FPGA as controller, SDRAM as high-speed data buffer, CF card as a non-volatile data memory and USB2.0 as Communication interface to design a dual-channel data logger. The Test results show that the recorder sampling rate is 120MSa/s, single-channel data store rate is 38MB/s, the total capacity is 64GB, and data upload rate is up to 30MB/s. Therefore it meets the expectations.
Pre-operative planning in orthopedic surgery is essential to identify the optimal surgical considerations for each patient-specific case. Estimation of the three-dimensional (3D) pose of bones plays an important role ...
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This paper introduces a Fuzzy entropy-based method for the problem of feature selection. For the first time Fuzzy-Entropy is used to directly link the relative input relevance of a Radial-Basis-Function Neural-Fuzzy m...
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Speech recognition is being addressed as one of the key technologies for a natural interaction with robots, that are targeting in the consumer market. However, speech recognition in human-robot interaction is typicall...
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In this paper, a block-edge based Single-Pass Perceptual Embedded Zero-tree Coding (SPPEZC) method is proposed and implemented on the DSP-based platform. SPPEZC combines two novel compression concepts which are Block-...
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A proposal for optimal control of a microgrid powered by solar energy with mixed temporary storage based on a battery bank and hydrogen is presented and evaluated here by means of simulations. The proposal is based on...
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ISBN:
(纸本)9781479902255
A proposal for optimal control of a microgrid powered by solar energy with mixed temporary storage based on a battery bank and hydrogen is presented and evaluated here by means of simulations. The proposal is based on a Predictive controller that optimizes the operational costs by taking into account the value of the energy generated, the cost of locally storing energy, the aging of the components and the operational constraints. The Constrained Mixed-Integer Predictive control problem obtained is then solved using a formulation based on the duration of the states, which simplifies the numerical solution. Some simulation results are presented to show the validity of the proposed approach.
A processes composed of sequences of local cyclic The theoretical prediction of the behavioral properties of periodic structures is less difficult than in the case of nonperiodic ones. That is because all the informat...
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In this paper we propose first a predictive adaptive intra-RTD dispatch comprising: (1) Intra-RTD non-zero mean predictor which utilizes historic data about various uncertainties to predict the most likely non-zero me...
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In this paper we propose first a predictive adaptive intra-RTD dispatch comprising: (1) Intra-RTD non-zero mean predictor which utilizes historic data about various uncertainties to predict the most likely non-zero mean imbalances;and, (2) Adaptive controller for non-zero mean intra-RTD imbalances using two-stage robust optimization. The result of applying these methods sequentially at the beginning of each RTD interval is the least-cost robust adaptation of RTD schedules in anticipation of the most likely non-zero mean imbalances. We illustrate how this proposed predictive adaptive intra-RTD dispatch can be implemented for a typical hour. Second, only hard-to-predict near-zero-mean imbalances are compensated using automatic Generation control (AGC). The basic conclusion is that a combination of predictive adaptive intra-RTD and recently proposed Enhanced-AGC (E-AGC) should be used for the least cost on-line balancing of non-zero mean and zero mean imbalances, respectively.
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