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For increasing the classification accuracy of chest DR images between normal and lesion images, and improving the deficiencies of poor generalization ability of traditional statistical theory, a kind of medical image classification method adapting small samples was proposed. In order to get the decision-making function, SVM classifier was applied to study(More)
The CPU–GPU communication bottleneck limits the performance improvement of GPU applications in heterogeneous GPGPU systems and usually is handled by data reuse optimization. This paper analyzes data reuse through DAG abstraction and obtains rules showing that the run-time data reuse optimization can effectively relieve the bottleneck. Based on the rules,(More)
A combined sintering aid mixture of B<inf>2</inf>O<inf>3</inf> and CuO for lead-free piezoelectric ceramics 0.95K<inf>0.5</inf>Na<inf>0.5</inf>NbO<inf>3</inf>-0.05BaTiO<inf>3</inf> (KNN-BT) is introduced. The effects of the mixture sintering aids of 0.6B<inf>2</inf>O<inf>3</inf>-0.4CuO on the sintering behavior, microstructure, and electrical properties for(More)
Evaluation of customer-oriented service quality (ECSQ) is an important practical measure to increase enterprises' competition capacity. In this article, a performance evaluation indexes system is established. UDM and fussy-mathematics are used to generate enough samples to train self-adaptive RBFNN. The instances of applying RBFNN to do ECSQ shows that its(More)
  • Kang Yan
  • 2009
—Based on innovation diffusion theory, social cognitive theory, the UTAUT model and empirical researches at home and abroad, and on investigation of the actual situation of China's higher education Informationaization, this paper put forward the ISCIP model. Meanwhile aimed at the early development and management practices, behaviors of the management is(More)
Nowadays, the application of neural network technology in the evaluation of third party logistics (3PL) is very limited in China. The reason lies in the difficulty to find high quality training samples for neural network self-learning. This paper adopts uniform design method (UDM) to design representative, uniform and large-scale samples. And then use those(More)
Stack filters are a class of slip window nonlinear digital filters that satisfy a weak superposition property known as the threshold decomposition and stacking property. They are suitable to parallel processing. Stack filters include many kinds of nonlinear filters in theory, being an important tool for nonlinear research. Beginning with stack filters's(More)