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In the field of defense science and technology, some long-life and high-reliability products cost a lot to carry out reliability test, including life test, degradation test and enhancement test. Thus, a more effective product testing and data analysis method are expected. Reliability enhancement test (RET) is commonly employed to improve products reliability, whose data is usually utilized to determine...
Field data is often used as the basis for the prediction of an airplanes maintenance request. In the traditional methods, maintenance request predictions are mainly obtained immediately using data. However, uncertainty analysis during the failure detection is ignored, which makes maintenance request inaccurate. To overcome the above problems, a novel approach is proposed in this paper: a multivariate...
Under the big data background, the massive traffic data provide the data to improve traffic control methods and put forward higher requirements for the accuracy of the traffic signal control. In this paper, we analysis the influence on green wave tape by queue length of vehicles through congestion data and sensor data on road, draw a queue dissipated model and import it into MAXBAND model. Then present...
Rice is the world's most important crop for ensuring food security. Remote sensing has advantages in collecting data objectively and accurately on rice planting area, growth and development, and yield at large scales, but processing is slow due to vast amount of data, and there is need for an information extraction system specially designed for rice. This paper mainly discussed the key techniques...
Public Private Partnerships (PPPs) have been applied for twenty years in China. Many problems of PPP projects in China are related to unsuccessful risk management. This paper addresses modeling the critical risk factors (CRFs) that have been identified from the Chinese PPP projects based on a questionnaire survey. The aim of this paper is to find the relationship between the CRFs according to the...
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