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Recently, convolutional neural networks (CNNs) have achieved great success in fields such as computer vision, natural language processing, and artificial intelligence. Many of these applications utilize parallel processing in GPUs to achieve higher performance. However, it remains a daunting task to optimize for GPUs, and most researchers have to rely on vendor-provided libraries for such purposes...
In the process of power grid operation-maintenance management, the information of equipment cannot be monitored in a full view. And the resources of operation-maintenance are still hard to deploy. The judging of failures is not efficiency. The locale jobs such as patrol, maintenance, repairing are hard to control. This paper mainly research and analyze the integration controlling platform of power...
Active storage provides an effective method to mitigate the I/O bottleneck problem of data intensive high performance computing applications. It can reduce the amount of data transferred as the application runs by moving appropriate computations close to the data. Prior research has achieved considerable progress in developing several active storage prototypes. However, existing studies have neglected...
Interpreting an image as a function on a compact subset of the Euclidean plane, we get its scale-space by diffusion, spreading the image over the entire plane. This generates a 1-parameter family of functions alternatively defined as convolutions with a progressively wider Gaussian kernel. We prove that the corresponding 1-parameter family of persistence diagrams have norms that go rapidly to zero...
This article introduces a Computer Aided Instruction platform based on Augmented Reality. The platform can superimpose virtual objects and virtual characters on the classroom. Teachers can interact with the virtual objects and virtual characters by presenting and moving special vision markers. In the platform, machine vision technology is used to implement human-computer seamless interaction, Virtual...
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