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Medical Meteorology is a rising Boundary Science. It is the study of atmospheric impact on physical, chemical and biological conditions of human bodies for treatments of disease and services of health care. This paper analyzes current situation in the field of medical meteorology and discusses the performance and the characteristic of Decision Tree algorithm on medical meteorology prediction based...
Extracting digital drainage network and physical descriptions of watershed based on DEM is the precondition of research on building distributed hydrological model and hydrological simulation. There're some traditional methods to extract digital drainage network based on DEM. Aiming at the deficiencies of those methods, many scholar provide improved methods such as extending virtual river network information...
Asset assignment and scheduling algorithms were developed and implemented to support a team-in-the-loop planning experiment conducted at the Naval Postgraduate School (NPS) in March 2009. The experiment examined planning and information flows among three cells in an abstracted and simplified Maritime Operations Center (MOC). This paper describes two optimization-based modules that focused on the Future...
Context is an important factor for the success of dynamic service composition. Although many context-based AI or workflow approaches have been proposed to support dynamic service composition, there is still an unaddressed issue of the support of fine-granularity context management. In this paper, we propose a granularity-based context model together with an approach to supporting the intelligent context-aware...
Ethnic minorities advanced talent program administrated by Ministry of Education aims to support the Chinese ethnic minority students to achieve master degrees or doctor degrees in high-level universities in China. As a fundamental course in the first academic year of the four-year program, Information communication technology application is compulsory and set a high value. During the instruction...
In this paper, we employ a hidden Markov random field (HMRF) model and a novel algorithm for the quadratic assignment problem (QAP) to discover the attributes of and relationships among organizational members, assets, mission areas, and mission tasks. The problem is one of identifying the mapping between the hypothesized nodes of a command and control (C2) organization and tracked individuals and...
In order to improve the quality of the infrared image, a kind of algorithm based on fuzzy-set and multi-scale wavelet decomposition (FSMW) to enhance the edge without the noise enhancement is advanced in this paper. Because the details and the noise of the image are difficult to distinguish and the edges are distributed in multi-scales, the membership functions in each scales of the noise, the low...
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