Applied Mechanics and Materials
Vol. 723
Vol. 723
Applied Mechanics and Materials
Vol. 722
Vol. 722
Applied Mechanics and Materials
Vol. 721
Vol. 721
Applied Mechanics and Materials
Vols. 719-720
Vols. 719-720
Applied Mechanics and Materials
Vol. 718
Vol. 718
Applied Mechanics and Materials
Vols. 716-717
Vols. 716-717
Applied Mechanics and Materials
Vols. 713-715
Vols. 713-715
Applied Mechanics and Materials
Vol. 712
Vol. 712
Applied Mechanics and Materials
Vol. 711
Vol. 711
Applied Mechanics and Materials
Vol. 710
Vol. 710
Applied Mechanics and Materials
Vol. 709
Vol. 709
Applied Mechanics and Materials
Vol. 708
Vol. 708
Applied Mechanics and Materials
Vol. 707
Vol. 707
Applied Mechanics and Materials Vols. 713-715
Paper Title Page
Abstract: The existing distributed spectrum sensing algorithms usually assume that the information in interaction channel is totally correct and did not consider noise effect. To solve these problems, a new distributed cooperative spectrum sensing scheme based on average consensus is investigated in this paper. Based on minimum mean square deviation criterion, we design an iterative matrix suitable for consensus algorithm with considering the noise of interaction channel. Simulation results show that the proposed method achieves better detection performance under noise effect of interaction channel and outperforms conventional scheme by 11% at-5dB signal to noise ratio (SNR) and 0.1 false alarm probability.
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Abstract: Extended Kalman Filter (EKF) is widely studied in the field of State of Charge (SOC) estimation of Li-ion batteries, however, in applications like Electric Vehicles (EV), there are usually a large number of individual battery cells. In order to meet the demand of real-time computation, MCU of high performance is essential. In this paper, we proposed a hardware structure to implement EKF which is economical in area and power consumption and could be easily integrated in a larger design and at the same time could satisfy the real-time restriction.
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Abstract: There has been a growing interest in building equivalent circuit models for lithium-ion battery with evolutionary algorithms. One of the well-known algorithm is the Hoeffding bound based evolutionary algorithm (HEA). In this paper, we first introduce the definitions of the Hoeffding bound, selection operations and Hoeffding evolutionary algorithm. And then, we introduced the method for building equivalent circuit models, which composed of four fundamental functions, connection-modifying function, component-creating function, arithmetic-performing functions and automatically defined function. In this way, a Hoeffding-evolutionary-algorithm based equivalent-circuit-model for lithium-ion battery is modeled. With the model-based state estimation approaches, the obtained model can assess the state-of-charge (SOC) of cells precisely.
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Abstract: In order to improve spectrum efficiency of cooperative communication system, Overlapped Time Division Multiplexing (OVTDM) is applied to Amplify-and-Forward (AF) cooperative communication system. The simulation results under Additive White Gaussian Noise (AWGN) channel show that the performance of new system is superior to that of corresponding AF cooperative communication system.
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Abstract: With the interconnection of the large-scale wind power, wind power forecasting is particularly important to the dispatcher of power grid. Based on the historical data, this paper proposes a prediction method based on RBF (radial basis function) neural network. This method is based on the model taking the influence of the system input (wind speed, wind direction, historical power output data) on the predicting error into consideration to get the optimal input values. Examples with field data obtained from Northwest of China show the effectiveness and higher precisionof the proposed method.
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Abstract: This paper uses the L indexes to analyze the impact of large-scale wind power penetration on the static voltage stability of the power system. First it presents some common indexes in analyzing voltage stability. Then, it introduces the principle of the L index. After that, Simulation based on the L Index of a typical power system interconnected with large-scaled wind power shows the grid alternatives have a considerable impact on the voltage stability. Finally it gives the conclusions.
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Abstract: In the dense crowded area, the communication resource allocation method has a very broad application space in the communication research field. Therefore, an improved communication resource distribution method in the dense crowded area is proposed based on pheromone search algorithm. In the dense crowded area, the regional communication network is constructed, and the pheromone of each resource node is taken with initialization processing. The collection of communication resource allocation task is obtained, the execution time of task is calculated, and the communication channel is selected. According to the pheromone concentration, all the pheromones are updated. The optimal channel of optimized communication resource allocation is searched, and the algorithm is improved. The simulation results show that the improved algorithm is applied in the regional allocation of communication resources in crowded area, the communication time can be effectively reduced, and the utilization of communication resources is improved, it will have a prospect application value in practice.
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Abstract: the technology of radio frequency identification (RFID) is an automatic non-contact identification technique, which uses radio frequency signal to recognize target automatically, and access to data of relevant information, and can effectively complete the rapid identification of traffic information system. In this paper, the characteristics and basic principle of radio frequency identification technology are described, the application of RFID in intelligent traffic management system for identifying vehicle identity information, automatic peccancy disposal, non-stop electronic toll collection are analyzed. The results show that, the application of RFID in intelligent traffic management system, greatly improves the management efficiency of traffic system, has bright application prospect.
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Abstract: Precise Point Positioning (PPP) with GPS measurements has achieved a level of success. In order to benefit from the multiple available constellations, research has been undertaken to combineGPS and BDS measurements in PPP processing.Mathematical models of GPS/BDS combined precise point positioning are introduced in this paper. GPS/BDS combined PPP models are developed based on the GPS-only PPP. The data pre-processing steps include applying satellite orbit and clock corrections, satellite antenna phase offset correction, receiver antenna phase offset correction, differential code bias corrections, troposphere delay corrections and the the Ionosphere-free observation combination is used. The results show that the positioning precision and convergence speed of GPS/BDS combined PPP are improved compared with GPS-only PPP.
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Abstract: This paper presents an improved approach to Triple Modular Redundancy (TMR) which concerns don’ t care bits of LUT configuration bits and hence classifies the set of LUTs into SEU-sensitive and SEU-insensitive. Unlike the full TMR approach, the improved approach only triplicates SEU-sensitive LUTs and can greatly reduces the area overhead while maintaining the circuit reliability. The proposed approach is thoroughly tested on the MCNC’91 benchmarks. Compare with the full TMR method the proposed scheme can reduce the area overhead by 26.6% on average, at the same time the circuit reliability only reduced by 9.1 %. The improved approach can also increase mean time between failures (MTBF) by an average of six times more than the original circuit.
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