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To maximize the volume of data available for use on ground in near real time, many solutions have been proposed to perform data collection through satellite networks. Inspired by the backpressure algorithm, we are interested in the design of a network algorithm that not only exhibits long-term throughput optimality and but also delivers packets in reasonable end-to-end delays. Thus, we investigate...
Recommender systems are designed to solve the overload information. Collaborative filtering based on the entire user network is by far most widely recommended algorithm, but it produced large amounts of operational data and it has difficulty to analyze characteristics of products and deal with data sparsity problem. To solve this problem, we employed a hybrid recommendation model which combined the...
Biclustering algorithm is used to find local patterns as an important tool in the analysis of gene expression data. However, most of the biclusters found by existing biclustering algorithms consist of non-continuous columns. It is not suitable for time series gene expression data, which has not been extensively studied. This paper presents an efficient exact algorithm to search contiguous column coherent...
As an effective biclustering model, order-preserving submatrix (OPSM) has been widely applied to biological gene expression data mining. Recently, biologists hope to find deep OPSMs with long patterns and comparatively few support rows, which are not only useful on the interpretation of gene regulatory networks but also have essential biological significance. Unfortunately, the traditional exact mining...
Biclustering technique has become an important tool in analysis of gene expression data. However, most traditional biclustering algorithms focus on biclustering model on non-continuous column. For time series gene expression data, these models neglect the important internal sequential relationship between the time intervals, thus it is not suitable for this kind of data. This paper proposes an effective...
This paper studies mathematician Paul Erdös, one of the most famous academic co-authors and his large co-author network. K-means and Self-Organizing feature Map (SOM) algorithms are applied to study the network. First, the SOM algorithm is introduced to recognize the pattern area number, which can identify the sub-segment automatically and export the central point of each cluster as well as the weights...
The cooperative shared tele-operation technology is used to overcome the impact of satellite-earth communication delay and non-structural space environment. To get the appropriate collaborative shared teleoperation system operation sequence, the formal based operation strategy is proposed. Firstly, the task sequence algorithm is introduced. In the algorithm, GSPN (generalize stochastic Petri net)...
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