Party building and ideological and political education have received much attention in recent years, and the construction of its work practice platform is particularly important. In order to improve the level of party...
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Party building and ideological and political education have received much attention in recent years, and the construction of its work practice platform is particularly important. In order to improve the level of party building and ideological and political education in colleges and universities, In this paper is based on the information fusion technique to fuse relevant factors after data, feature, anddecision levels. Using sampling calculation, the percentage of relevant factors was calculated as 37%, 38%, and 25%, and the Kalman filter algorithm was used to test the information data. The two factors that accounted for more were selected as the platform construction indexes, and the information was fused with the maximum likelihood estimation andd-s algorithm to build the party construction and ideological and political education work practice platform. It is evident that the practice platform based on information fusion technology can promote the development of ideological and political education.
According to different credits among users in cooperative spectrum sensing, this paper proposes improved evidence based cooperative spectrum sensing algorithm. The proposedalgorithm obtains the user credit through pu...
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ISBN:
(纸本)9780819493057
According to different credits among users in cooperative spectrum sensing, this paper proposes improved evidence based cooperative spectrum sensing algorithm. The proposedalgorithm obtains the user credit through punishing users with incorrect decisions and rewarding users with correct decisions. The user credit is then used to calculate user weights that affect the final decision. The simulation resultsshow that the proposedalgorithm can effectively enhance the detection accuracy of cooperative spectrum sensing comparing to normal d-s algorithm.
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