In recent years, medical image processing with CNN has made remarkable research progress in the task of chest film disease classification. However, compared with single structure CNN, dual-path network can combine the characteristics of different CNN to improve the ability of disease classification. Secondly, for different diseases, their location, size, shape, and texture are different, the attention mechanism helps the model to extract different pathological features and improve the classification accuracy. Therefore, focusing on the chest film disease classification problem, a dual path convolution neural network TADPN(Triple Attention Dual Path Network) combined with a triple attention mechanism is proposed. TADPN takes the dual-path network combined with ResNet and DenseNet as the backbone network and uses three different forms of attention mechanisms to improve the backbone network. The network complexity and classification accuracy are improved while maintaining the stability of the parameters. In this paper, the validity of TADPN is compared with the six advanced algorithms on the ChestXray14 dataset. The experiments show the progressiveness of the dual-path CNN and the triple attention mechanism, as well as the effectiveness of TADPN. The average AUC value of 14 diseases reaches 0.8185, which is 1.1% higher than that of previous generations.

以焊缝高宽比和深宽比作为优化目标,结合径向基函数神经网络和带精英策略的非支配排序的多目标遗传算法NSGA-Ⅱ,实现了多目标优化.建立了以焊接电压、送丝速度、焊接速度作为自变量,预测焊缝熔宽、余高和熔深的5种模型,即误差反向传播神经网络、遗传算法优化的误差反向传播神经网络、克里金插值法、径向基函数神经网络和二阶多项式回归模型.对比分析表明,径向基函数神经网络具有较高的预测精度和稳定性,最为合适.最后,利用NSGA-Ⅱ算法实现了以盖面焊和填充焊为应用场景的工艺参数多目标优化,试验证明了该优化方法的有效性.

以MAG焊焊接电压、焊接速度、送丝速度为可调工艺参数,开展了三因素三水平全因子平板对接焊和堆焊试验.基于试验数据建立了误差反向传播神经网络、径向基神经网络和克里金模型来预测焊缝余高、接头抗拉强度和冲击吸收能量.模型预测结果显示,所建立模型均能较好的预测焊缝性能,但是没有一个模型能同时最佳预测三种焊缝性能且各模型预测波动较大.为了进一步提升预测精度和稳定性,将误差反向传播神经网络、径向基神经网络和克里金模型以线性加权法组合.结果表明,组合模型能提升预测的精度和稳定性.基于组合模型,采用NSGA-II算法实现多目标优化,得到并验证了焊缝余高、接头冲击吸收能量和抗拉强度三者间的非劣解.验证结果表明焊接工艺多目标优化对实现焊缝综合性能整体最优以及焊接精细化应用具有较大的指导意义.

本文设计了一种基于FPGA和以太网口的FFT数据处理系统,可用于雷达信号的处理.FFT计算通过FPGA硬件实现,经过FFT计算以后的数据再传输给MATLAB作进一步数据处理,MATLAB与FPGA之间的通讯是基于TCP/IP协议.本设计兼顾了FPGA并行高速计算和MATLAB灵活可扩展的优点,可满足不同应用场景的要求.

随着“三网融合”地不断推进,智能终端上承载的内容日趋多样化.如何确保下一代广播电视网络TVOS操作系统在智能电视终端平台上运行的各种数字电视业务的安全性、满足广电运营商对智能电视终端安全的要求是目前急需解决的关键技术问题.操作系统自身的安全尤为重要,本文从技术及安全角度对下一代广播电视网络TVOS智能电视操作系统的安全机制、安全体系架构加以分析论述,提出了广电智能终端操作系统自身的安全模型及技术实现方案.

针对单神经元自适应PID算法对增益K的敏感性,提出了增益K自调整的单神经元自适应PID控制算法.仿真结果表明,这种控制算法具有良好的自适应性和鲁棒性.

This article presents the basic concept of time-shifting,MPEG-2real-time encoding and the ap-plication of MPEG-2real-time encoder in the digital video recorder,and gives a complete solution of the intelli-gent digital video recorder system.[