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Statistics and modeling is gaining more and more attention as the time for big data is coming. Variable choosing plays a significant role during modeling. The traditional methods like OLS and ridge regression could not satisfy interpretability and prediction accuracy at the same time. Tibshirani. R prompted Lasso and the new method could not only solve the above problem but also decrease the complexity...
At first, we analyze the advantages about employing multilevel model in communication research. When it samples from different levels and units, the resultant data will appear stratification. Hierarchical data structure is common in communication studies. Audiences exist within hierarchies tend to be more similar to each other than people randomly sampled from the entire population. Therefore, multilevel...
In this paper, a new algorithm for multiple maneuvering target tracking is proposed. The proposed algorithm which is based on separating the multiple maneuvering target tracking into three parts-the data association, the estimation of the single target dynamic model and the estimation of the single target tracking subproblems conditional on the data association and the target dynamic model. Where...
Data storage has become an important issue in sensor networks as a large amount of collected data need to be archived for future information retrieval. Storage nodes are introduced in this paper to store the data collected from the sensors in their proximities. The storage nodes alleviate the heavy load of transmitting all data to a central place for archiving and reduce the communication cost induced...
On the basis of the current database backup mechanism research, according to requirements of various enterprises. In this paper the mechanisms which contain integrated and reasonable backup methods are presented and implemented. The mechanisms can decrease the risk of losing the meta-data related to enterprise application when database encounters unpredicted problems and also have very little influence...
We consider a sensor network that is not fully trusted and ask the question how we preserve privacy for the collected data and how we verify the data reply from the network. We explore the problem in the context of a network augmented with storage nodes and target at range query. We use bucketing scheme to mix the data for a range, use message encryption for data integrity, and employ encoding numbers...
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