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Axial compressor systems are predisposed to instability near their optimum operating point. Instabilities include surge or stall, leading to severe consequences to the operational health and integrity of compressor system. The Moore-Greitzer (MG) model has been commonly recognized as a standard when characterizing the dynamics within an axial compressor and is advantageous for the development of a...
Chronic diseases have been among the major concerns in medical fields since they may cause a heavy burden on healthcare resources and disturb the quality of life. In this paper, we propose a novel framework for early assessment on chronic diseases by mining sequential risk patterns with time interval information from diagnostic clinical records using sequential rules mining, and classification modeling...
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...
This paper proposes a novel methodology for stock investing using the technique of episode mining and technical indicators. The time-series data of stock price is used for the construction of complex episode events and rules. Our experimental results show that the episode rule mining method not only improves a well-known technical indicator alone, but also assists it in outperforming the benchmark...
The explosion in social networking sites allows people interact with friends on web more frequently and easily. Thus, applications on social networking such like the social networking advertising have been regarded as a wonderful opportunity for marketing. In this study, we try to simulate the content sharing behavior in social networking sites and we optimize simulation parameters by using evolution...
An interactive game needs to call for multimedia data quickly for its real time and interactivity features. Its data is composed of pictures, sounds and action scripts as game roles stored on disks. Therefore, a special database management system plays important role, serving the back end for interactive games. Such a system is introduced in the paper and a relational model is built as well. Based...
This paper uses back propagation (BP) neural network to modify manual observing system data to automatic observing system data in wind speed data. First, we prepare six factors which are wind speed data six hours ahead to one hour ahead as input data. The tests indict when these factors selected, the modify results are better than others. The training data used for the neural network is the data from...
This paper reviews the research work on modeling and control of fuel cell systems for distributed generation applications. The paper first summarizes the authors' research work on continuous dynamic model development and control of proton exchange membrane fuel cells (PEMFC), solid oxide fuel cells (SOFC), and fuel cell distributed generation (FCDG) systems. Discrete event system (DES) and hybrid...
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