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To improve cancer survival rates and prognosis, one of the first steps is to improve our understanding of contributory factors associated with cancer survival. Prior research has suggested that cancer survival is influenced by multiple factors from multiple levels. Most of existing analyses of cancer survival used data from a single source. Nevertheless, there are key challenges in integrating variables...
Today's Cloud based render farm usually requires end users to transfer modeling data into the Cloud for rendering and makes the end users to trust the providers of the cloud infrastructure with many security policies. However, the end users have no basis to determine if these Cloud services are trustworthy, except the assurances of the service provider. This brings up a serious security concern on...
In order to overcome the limitation of existing data cleansing methods working on massive data, in this paper, we propose a generic semantic-based framework using parallelized processing model for effective big data cleansing. We also use an improved Semantic-Based Keyword Matching Algorithm to deal with duplicate data. Experimental results show that this parallelized framework with improved Semantic-Based...
With the trend of mobile enterprise information systems, security has become the primary issue as it relates to business secret, decision, and process control. Hence, we carry out a fully customized framework to emphasize on security from trust authority of the cloud certificate authority server, and to guarantee security with the process of the software developments. The core object model, named...
Hydrologic model setup is an important process in the whole model simulation. This study introduces an approach for hydrological simulation analysis based on extracting watershed features from DEM using Arc Hydro Tools. This method consists of two steps: firstly, extracting watershed features from DEM using Arc Hydro Tools. Then, process hydrological simulation analysis with hydrologic model HSPF...
Extracting watershed features from DEM (Digital Elevation Model) is a very important task in Hydrologic study, and also it is the pre-process of hydrological simulation analysis. This paper introduces a very useful method for Hydrological simulation analysis based on extracting watershed features from DEM using Arc Hydro Tools. Arc Hydro is a geospatial data model especially GIS for Water Resources,...
This paper is mainly to discriminate the obstacle models that the robot may meet by using BP neural network. The essential work autonomous mobile robot should complete includes path planning, localization and obstacle avoidance, and this paper has laid the foundation for these tasks. The result of computer simulation indicates that the design has achieved the expected task to judge the obstacle models.
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