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Vibrio parahaemolyticus is the leading cause of seafood-derived illness in China and a possible mechanism leading to illness is cross contamination of cooked shrimp. A growth rate model of pandemic V. parahaemolyticus O3:K6 strain on cooked shrimp stored at isothermal temperatures was developed and validated. The maximum specific growth rate of this pandemic O3:K6 strain ranged...
Aiming at the problems of increasing energy consumption of cloud storage, big environmental resources pressure, exist research on replica placement lacking of focus on energy consumption, this paper proposes a energy conservation replica placement method ECRP(Energy Conservation Replica Placement, ECRP). Based on the three main different levels of energy consumption of hardware components, the data...
The method of partial least-squares regression can effectively deal with the problems of multicollinearity among independent variables", "but can not ideally solve the complicated problems of nonlinearity between dependent variables and independent variables. The method of coupling model with neural network and projection pursuit is an ideal tool to deal with the problem of nonlinearity,...
Although peer-to-peer system is scalable for content distribution, its lifespan is shorter than traditional systems. More and more researchers pay close attention to swarm lifespan and propose specialized methods to extend it. Bundling technique and SRE (Share Ratio Enforcement) mechanism in Private Tracker system are two successful enhancements which are proved by practical systems. However, they...
There is a low forecasting accuracy when we forecast the price date by the traditional BP network only considering a single closing price as the time series vector. But, if we try to add other factors vector to the BP network input vector, we will find there are low training accuracy caused by the a large number of factors .In order to solve the issues raised above ,the author sets up a two-step Forecast...
Support vector machine is a new machine learning technique developed on the basis of statistical learning theory, which has become the hotspot of machine learning because of its excellent learning performance. Based on analyzing the theory of support vector machine for regression (SVR), a SVR model is established for predicting the output in fully mechanized mining face, and then realizes the model...
With the rapid development of real estate, the risk of investment is also increasing rapidly. So the risk of predicting and controlling the real estate investment has become the key to the success or failure of the project. In this paper, a support vector machine (SVM) modeling approach for real estate investment risk prediction is proposed at first, which is made use of its merits of structural risk...
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