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Strong auto-correlation and cross-correlation in chemical processes data can be dealt well by canonical variate analysis (CVA) algorithm, but this algorithm can't solve nonlinear problem of chemical process data. So a fault diagnosis CVA algorithm of chemical process based on isometric feature mapping (ISOMAP) is proposed in this paper. At first, this algorithm uses ISOMAP algorithm of manifold learning...
Triple play is the direction of business development for PON network. Current bandwidth allocation algorithms have many problems such as fairness between ONUs, poor light load, lack of differentiated QoS guarantees and so on, when they are used in the multi-service transport network. Based on the analysis of current PON bandwidth allocation algorithms, this paper research an improved dynamic bandwidth...
The objective of this study is to investigate different pattern classification paradigms in the automatically understanding and characterizing driver behaviors. With features extracted from a driving posture dataset consisting of grasping the steering wheel, operating the shift lever, eating a cake and talking on a cellular phone, created at Southeast University, holdout and cross-validation experiments...
Predicting oil price movements is very important for investors. Fuzzy time series which combine people's subjective attitude and objective history values can help people to solve forecasting problems. It has been applied to many areas such as stock index, university enrollments, exchange rates and tourism forecasting. This paper brings fuzzy time series into short term crude oil price forecasting...
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