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A critical function of wireless sensor networks (WSNs) is data gathering. One is often only interested in collecting a specific function of the sensor measurements at a sink node, rather than downloading all the raw data from all the sensors. In this paper, we study the capacity of computing and transporting the specific functions of sensor measurements to the sink node, called aggregation capacity,...
Based on customer-oriented e-commerce flow, this paper analyses the knowledge of e-commerce flow and builds e-commerce domain ontology and sub-ontology. Based on this analysis, this paper builds reusable model of e-commerce domain ontology by using ontology construction standard technology. This reusable model can reveal the knowledge and the relationship between knowledge of the e-commerce flow deeply...
High frequency stock return data tend to exhibit characteristics such as volatility clustering, volatility persistence, leverage effects, and properties of abnormal unconditional distributions reflected in the form of skewness, high peakedness, and excess kurtosis. Although traditional GARCH models that employ leptokurtic distributions have been found useful to account for the conditional heteroscedasticity...
Through analyzing non-linear, time-varying characteristics of the economic system and summing up the basic idea of nonlinear economic model, BP neural network is used to do non-linear economic modeling methodology and specific implementation steps, by which new ideas is put forward for the existence of model, and implementation of the circumstances in Matlab is given.
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