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GPGPU-Based Fast Calculation Of Large Matrices And Dynamic Prediction Of Sports Injury Images
Microprocessors and Microsystems ( IF 1.9 ) Pub Date : 2021-02-14 , DOI: 10.1016/j.micpro.2021.104069
Ye Chen , Jian Huang

Sports injuries are usually direct impact and application of force than the body is structurally acceptable, is caused by excessive use. Common injuries, bruises, sprains, strains will include joint injury and nose bleeding. General-Purpose Computation on Graphics Processing Units (GPGPU) is Central Processing Units (CPU) usually using a graphics processing a processing unit a computer graphics calculations Graphics Processing Units (GPU), traditionally the central processing unit run the calculation of processing applications. Dynamic prediction, the patient is assumed to have been exposed to danger at a predictable point in time, has an intuitive representation associated with the estimated probability of the occurrence. The Drawback of the existing method does not give proper sports injury images and calculation. The proposed method of the Binary Support Vector System (BSVS) algorithm is to give the proper classification, result, and prediction.



中文翻译:

基于GPGPU的大矩阵快速计算和运动损伤图像的动态预测

运动伤害通常是直接冲击,施加力超过身体在结构上可接受的范围,是由过度使用引起的。常见的伤害,挫伤,扭伤,拉伤包括关节损伤和鼻子出血。图形处理单元(GPGPU)的通用计算是中央处理单元(CPU),通常使用图形处理单元,计算机图形计算图形处理单元(GPU),传统上由中央处理单元运行处理应用程序的计算。动态预测(假设患者已在可预测的时间点暴露于危险中)具有直观的表示形式,与所估计的发生概率相关。现有方法的缺点不能提供适当的运动损伤图像和计算。

更新日期:2021-02-15
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