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In order to improve the accuracy of SOC estimation for vehicle battery pack and optimize the management of the battery system, a new method based on deep belief network for remote correction of SOC accuracy is proposed in this paper. The monitoring data obtained by the remote monitoring center of the electric vehicle should be pre-processed before the establishment of deep belief network, which is...
The input and output characteristic of thermocouple vacuum gauge exhibits high nonlinearity, which comes from the gauges' inherent physical peculiarities and causes big error in measurement results. There is a need to make compensation of the nonlinearity for accurate measurement. In this article, a least squares support vector machine (LS-SVM) model is developed to function as a compensator with...
The basic structure and principle of data link communication system (DLCS) were introduced. And then the RS error-corrected coding/decoding and MSK modulation/ demodulation techniques were analyzed. The anti-noise performance of DLCS in Gaussian white noise channel was studied. Moreover a model of DLCS with RS coding/decoding was developed based on Simulink in Matlab. The simulation results were verified.
This paper presents an improved genetic algorithm for solving conic fitting problem. We first use several parallel small-populations genetic algorithms to obtain initial population, which has better average fitness. The range of mutation operator is also set to be gradually reduced with the growing of generation to guarantee the proportion of outstanding individuals within the population. An experiment...
In this paper, an energy efficient adaptive modulation scheme is proposed for a wireless cognitive radio ad hoc network, where each node is equipped with cognitive radio and the network is an OFDMA system operating on time slots. In each slot, the users with new traffic demand will sense the spectrum and locate the available subcarrier set. Then they choose subcarriers with favorable channel condition...
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