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As a quick access recorder (QAR) loaded on the plane, QAR data records hundreds of parameter data produced in the process of flying. But these data are not currently being used effectively. It is becoming increasingly necessary to use QAR data for fault prediction. First, the technical route of the civil aircraft fault prediction is illustrated. Second, four fault prediction methods of civil aircraft...
Oil and gas transportation in pipeline plays an important role in the lifeline of national economy, industrial production and daily life. In China, aging phenomenon of oil and natural gas pipeline is widespread in the existing pipeline. Therefore, the safety of the pipeline has been concerned. It is a great significance for forecasting dent depth of transportation pipeline accurately. In this paper,...
To promote the forecasting performance of Fuzzy time-series models, based on complex network, a novel fuzzy time series model for stock price forecasting was pressented, this pressented model includes the concept of the complex network and weighted adaptive expectation method. By comparing the fuzzy time series model of based on complex network and weighted adaptive expectation fuzzy time series model,...
Effective video-conferencing conversations are heavily influenced by each speaker's facial expression. In this study, we propose a novel probabilistic model to represent interactional synchrony of conversation partners' facial expressions in video-conferencing communication. In particular, we use a hidden Markov model (HMM) to capture temporal properties of each speaker's facial expression sequence...
Data assimilation is an advanced and innovative set of techniques for variable estimation, especially in agriculture research in recent years, which integrates not only remote sensing data products, other measurements, but also land dynamic models. It can provide more abundant and precise data set, and extend data's spatiotemporal scale. In this paper, firstly composition and assimilation methods...
Artificial neural network and nonlinear optimal predictive control is combined. Artificial neural network based on nonlinear predictive optimal control scheme is described and the technique is applied in variable air volume system. A predictive model of room temperature is identified with a feed-forward ANN. The temperature of air conditioning room is controlled aimed at minimum temperature deviation...
Combining with transductive confidence machine, an improved KIII model is proposed in this paper. The improved KIII model can make prediction with confidence measure and credibility measure, not just bare prediction, which also can control the risk of error effectively. Based on the analysis of normal and hypoxia EEG, experimental results show that the improved model can give the credibility for every...
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