In recent years, the proportion of added value of China's cultural industry to GDP has been increasing year by year. However, due to different levels of economic development and cultural resources, there are significant differences in the development of cultural industries in different regions. This study considers a sustainable positive externality by setting the patent as a new output and employs the non‐radial directional distance function in the framework of meta‐frontier to investigate the innovative performance of China's cultural industry because of regional disparities. Our main findings are that there is a major technological gap among the eastern region, the central region and the western region, in which the technical and management capabilities of the eastern region are far greater than those of the central and western regions; Cultural industries have greater room for improvement in the eastern, central and western regions, especially the western region; The efficiency level of the cultural industry is likely to be related to the local economic strength. This article explores the factors that constrain the competitiveness of cultural industries in different regions of China. Then based on its influencing factors, corresponding development measures are proposed.
Abstract:The spoofing interference can mislead target receiver in reporting wrong position and time, it is a serious threat to the security of global navigation satellite system (GNSS) applications. The paper proposed an anti-spoofing method using the pseudo-range single-difference (PRSD) measurements of two receivers; the method recognizes spoofing signal by analysing the signal-inspace properties. Under the assumption that all the spoofing signals generating from the same antenna, their incident directions are same. However, the signals' incident directions are different for spoofing-free case, as they come from different satellites. Based on this difference, a spoofing decision variable is deduced. And the statistical characterization of the variable is analysed. In the last, the spoofing detection performance is evaluated by Monte-Carlo simulations. When the baseline is 2 meter long, the simulation results illustrated that if the false alarm rate is 0.01, the spoofing detection probability is up to 99%.
Abstract-In this paper, we propose a novel compressive image fusion method based on multi-objective particle swarm optimization. In compressive image fusion, the challenge is to choose proper fusion parameter, particle swarm optimization who is a based stochastic optimization technique can solve the challenge. In order to get appropriate parameter, the fitness function select the average gradient function, data similarity function, standard deviation function. The experimental results indicate that the proposed method in MI, Qw, Qe, QAB|F four evaluation indexes have better performance, our method can get more information from the source images and retained more structural information and edge information.
Global navigation satellite system (GNSS) spoofing interference can mislead the target receiver in reporting wrong position, velocity and time results, which is a serious threat to the security of GNSS applications. Localizing and destroying the interference source is a complete way to clear the threat. In this paper, an algorithm is proposed to locate interference source using both pseudo-range and received signal strength (RSS) measurements, which are from the spatially distributed GNSS receivers. The algorithm has two stages. In the first stage, the distances between the interference source and receivers are estimated using weighted least-squares (WLS) method. And then source position is estimated using the estimated distances in the second stage. This algorithm's computation burden is low, and its solution doesn't divergence even if the measurements' accuracy is low. In addition, the mathematical derivation shows that the solution can reach the CRLB accuracy. Simulations corroborate the theoretical results and the good performance of the proposed method.
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