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The study is focused on the development of an automation platform performing data mining works on telemetry database for computer systems. Very common computer systems encounter failures in an unexpected manor. It is therefore valuable to have prognostics task for computer systems to minimize the situation of unexpected system failure. Data acquisition schemes employing telemetry techniques are considered...
To achieve the best quality of overall optimal performance on grid environment and user services, job loads need to be balanced in grids due to the non-uniformly distributed nature of jobs submitted to grids. Jobs are transferred from a heavy loaded grid to other grids in order to achieve performance optimization. The running cost of a job is calculated at the time it is completed. In this paper,...
Grid computing architecture was defined to be a complete physical layer. Data transfer in network must be in secure. In this study, encryption and decryption algorithms of a site authentication and its message are developed and applied in each grid node to ensure secure transmitted information. If the site information has been built in supervisor node then it can receive data sent from other grid...
Our study established a new serodiagnostic data transformation method of schistosomiasis japonica such that the cut off value based on normal distribution can be used. Sera collected in 2 different Schistosoma japonica (S j) endemic areas were tested by using a S j specific IgG antibody detection kit. The data were assessed by Stata. Results indicated that before the proposed transformation, the specific...
The purpose of this study was to explore the time course of cerebral lactate concentration in ischemic rat brain after sacrifice, in which area the morphology signal was still normal in the early phase. Ischemic rat model was used in this study. Eighty rats were fasted overnight before sacrifice and divided into 16 groups randomly. Lactate concentration was measured by using LD kit. Results showed...
Library management frequently faces the need of making the value of the acquired materials significant as far as the most beneficial use of the allocated acquisition budget is concerned. Knowledge in the circulation databases can be explored in-depth to relevantly reflect this need. In this paper, a data mining based model (DMBA) is designed and developed to help allocate the library material acquisition...
Parallel Monte Carlo techniques for simulating the evolution of an assembly of charged particles interacting with a background gas medium under the influence of the electrical field are presented. This simulation problem has inherent parallelism in nature. All the particles can be traced independently in a short time interval. We have overcome three major difficulties: 1) the number of particles to...
We simulate three neural networks on a vector multiprocrssor. The training time can be reduced significantly especially when the training data size is large. These three neural networks are: 1) the feedforward network, 2) the recurrent network and 3) the Hopfield network. The training algorithms are programmed in such a way to best utilize 1) the inherent parallelism in neural computing, and 2) the...
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