According to particularity of pressure measurement about underwater gun, this paper expounds the advantages of strain sensor, and designs a suit of portable underwater pressure measurement system based on it. It is particularly introduced that the system’s hardware design principle and strain sensor’s working principle. Experimental results shows that the measuring accuracy of this pressure measurement system almost equivalent to one of the traditional system. But it is smaller and lighter.
The purpose of the paper is to design a sensor to satisfy the need of the strain transmission measurement for the underwater gun. In this paper, after a statement of the working principle of the sensor system, the entirely standards sensor making process involving the performance and intensity limitation of the strain tube are conducted. Then this will be followed by an analysis of the working bridge road. Finally, by the existing standard sensor, the designed sensor is calibrated and contrasted. The test results show that the designed strain cylinder sensor offers advantages over linearity, and hence can be used in engineering practice.
. Topic Model is one of the important subfields in Data Mining, which has been developed very quickly and has been applicated in many fields in recent years. Many researchers have been engaged in this field. In this paper, we introduce the BNB process based on Beta and Negative Binomial distribution, using the hierarchical distribution instead of Dirichlet in LDA. And we give the expression of parameter estimation used by Gibbs sampling. Then, BNB process is applicated in the text topic classification. We design experiments to decide the numbers of topics and compare the BNB process with LDA. Experiment results show that the BNB process has better performance over LDA in English Dataset, but they have almost the same result in Chinese micro-blog topic classification. Finally we analyze the problem and give the idea in further research.
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