In this paper, two efficient proposals are presented by using maximal slice states and orthogonal measurement basis to realize the joint remote state preparation (RSP) of two-qubit and three-qubit states, respectively. Furthermore, this kind of joint RSP schemes could be generalized to the case of arbitrary multi-qubit states, which can be transmitted from two senders to one receiver with the supervision of one manager. The successful probability of this joint RSP scheme is always equal to 100% in spite of that quantum channel is composed of non-maximally entangled states.
This paper explores the methods used widely in China and western world interpreting the ultimate capacity of driven piles based on axial static load tests. A database consisting of 57 prestressed high- compression-capacity concrete pipe piles, which are widely used in soft soil ground conditions for building and transportation projects in China, is built. Two methods widely used in China and western world to interpret the ultimate capacity of driven piles based on axial static load testing data, S-lg(t) curve and Davisson Offset Limit, are applied to the database. Findings indicate that both methods work well and reach almost the same estimation. Conclusions suggest that both academia and industry of China and western world should take the advantages of the methods and apply them to engineering practice.
The complicated sports of aircraft carrier affected by the wind and waves when sailing affects the measurement accuracy of shipboard radar seriously. In order to eliminate the effect of carrier motion to improve the accuracy of radar measurement, we must establish the motion model of aircraft carrier and research on the motion of carrier. At present there is not much research on movement of domestic aircraft carriers, and the overseas research are in a state secret. Established the motion model of aircraft carrier according to the force of carrier caused by wave. Provides help for the research on carrier motion law and influence on the accuracy of radar.
This paper addresses the problem of blind separation of linear convolutive mixtures. We first reformulate the problem into a blind separation of linear instantaneous mixtures, and then a statistical approach is applied to solve the reformulated problem. From the statistics of the mixtures, two kinds of matrix pencils are constructed to estimate the mixing matrix. The original sources are then separated with the estimated mixing matrix. For the purpose of computational efficiency and robustness, in the matrix pencil, one matrix is constructed from the second order statistics, and the other is constructed from the third order statistics. The proposed novel methods do not require the exact knowledge of the channel order. Simulation results show that the methods are robust and have good performance.
This article describes the variational multi-source image fusion using the structure tensor algorithm, which can keep the image features and details very well. We first narrative the fusion gradient field based on structure tensor, then measure the characteristic graphs of each source image, and thus construct a weight value for the source image gradient according to the characteristic graph. Gradients with high image features are highlighted in the fusion gradient field, and thus image features in the sources are well preserved. By using variational partial differential equation, the fusion image is reconstructed from the target gradient field. From the actual experimental results, the average gradient value and entropy of the fused image are found to be higher than those obtained by using the wavelet transform algorithm, tower decomposition algorithm, and direct gradient fusion algorithm, and the visual effect of the fusion image is good enough to retain the feature of source images and details in it. Therefore, it can give qualified image information for target detection and identification.
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