Online short video platform (OSVP) can disseminate information in an intuitive and three-dimensional (3D) way, and achieve commercial value in a mobile, so-cialized, life-oriented manner. To fully understand the infor...
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In this paper, an air defense early warning sensor network node importance assessment method based on multi-attribute decision was proposed. Firstly, according to the characteristics of the air defense early warning s...
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In multi-manipulator systems, topological changes are often unavoidable. However, existing research on multi-manipulator systems, requires the system to maintain connectivity at all times. The failure of any communica...
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In recent years, military science and technology has been developed rapidly, and new equipments has been equipped in the army. Augmented Reality (AR) technology provides the possibility to solve the problem of equipme...
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In this paper, an air defense early warning sensor network node importance assessment method based on multi-attribute decision was proposed. Firstly, according to the characteristics of the air defense early warning s...
In this paper, an air defense early warning sensor network node importance assessment method based on multi-attribute decision was proposed. Firstly, according to the characteristics of the air defense early warning sensor network, the factors that affect the node importance degree were analyzed, and the node importance degree was divided into three aspects, which were performance importance degree, function importance degree and structure importance degree. Secondly, three calculation methods of importance degree were introduced. Then the synthesis method of comprehensive importance degree based on TOPSIS method was proposed. Finally, the validity of the method and model proposed in this paper was verified.
In recent years, military science and technology has been developed rapidly, and new equipments has been equipped in the army. Augmented Reality (AR) technology provides the possibility to solve the problem of equipme...
In recent years, military science and technology has been developed rapidly, and new equipments has been equipped in the army. Augmented Reality (AR) technology provides the possibility to solve the problem of equipments operation training. But in the training process, One of the essential technologies is how to location and identify the operation keys. Obviously, the sample set of equipments operation keys is the basis of key recognition, and a certain scale of sample set is an indispensable element to ensure the performance of the recognition model. On the basis of manually establishing a small sample set, this paper puts forward a mechanism based on interactive automatic sample labeling and sample set expanding, the target recognition model was updated by incremental learning method at the same time.
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