Multi-Lead ECG Classification via an Information-Based Attention Convolutional Neural Network

A novel structure based on channel-wise attention mechanism is presented in this paper.With the proposed structure embedded,an efficient classification model that accepts multi-lead electrocardiogram (ECG)as input is constructed.One-dimensional convolutional neural networks (CNNs) have proven to be effective in pervasive classification tasks,enabling the automatic extraction of features while classifying targets.We implement the residual connection and design a structure which can learn the weights from the information contained in different channels in the input feature map during the training process.An indicator named mean square deviation is introduced to monitor the performance of a particular model segment in the classification task on the two out of five ECG classes.The data in the MIT-BIH arrhythmia database is used and a series of control experiments is conducted.Utilizing both leads of the ECG signals as input to the neural network classifier can achieve better classification results than those from using single channel inputs in different application scenarios.Models embedded with the channel-wise attention structure always achieve better scores on sensitivity and precision than the plain Resnet models.The proposed model exceeds most of the state-of-the-art models in ventricular ectopic beats (VEB) classification performance and achieves competitive scores for supraventricular ectopic beats(SVEB).Adopting more lead ECG signals as input can increase the dimensions of the input feature maps,helping to improve both the performance and generalization of the network model.Due to its end-to-end characteristics,and the extensible intrinsic for multi-lead heart diseases diagnosing,the proposed model can be used for the real-time ECG tracking of ECG waveforms for Holter or wearable devices.     

基于几种最优化方法的边坡稳定分析及在MATLAB 中的实现

以国内应用广泛的毕肖普条分法结合MATLAB优化工具箱中具有优良特性的拟牛顿法和单纯形法编程,同时实现用这几种最优化方法求解最小安全系数,并就有关方面予以比较并查看它们的求解差异,以期通过多种方法的比较尽可能地找到真正的危险滑裂面。考虑到初值的选取对优化计算的重要影响,适当地采用了一些合理的方法。     

桩顶有无连梁的双排抗滑桩数值模拟*

为明确双排抗滑桩的受力性状,用ABAQUS有限元软件建立有、无桩顶连梁2个模型,比较二者在相同滑坡条件下的受力及变形情况,探讨双排抗滑桩与桩顶连梁组成的空间结构的受力机理,并从结构力学角度进行验证.研究表明:桩身最大剪力与弯矩均出现在滑面处.有桩顶连梁时剪力与弯矩最大值比无连梁时要小,前后排桩桩顶反弯矩相等.桩顶刚接连梁通过提供反弯矩减小了桩顶位移与桩身所承担的剪力及弯矩,增大了抗滑结构转动惯量,提高了抗滑力.     

车载接触网运行状态检测装置系统设计及应用

接触网作为电气化铁路牵引供电的关键设备,其状态好坏直接影响铁路运行安全。为了在运营动车组上装备一套接触网运行状态检测装置对接触网运行状态进行全程监控,从系统的设计要求、设计原则、设计方案着手,引入非接触式的图像处理、机器视觉以及红外测温关键技术,完成装置的系统设计,同时通过静态和动态试验验证装置的性能。试验和现场的实际应用反馈表明,装置满足技术条件要求,同时装置对接触网的检测结果能够为接触网检修提供依据。     

基于PLC和WSN的船舶网络化监测系统设计

针对船舶监测的具体应用,依据电力线载波技术和无线传感器网络技术原理,构建了有线与无线相结合的船舶全方位监测系统架构。对船舶的监测需求和监测环境充分考虑后,利用了船舶现有的电力网,并采用高性能的芯片,设计、研制了一种适用于船舶监测数据采集的节点,可以实现船舶内多种监测数据的采集和监测。系统内的无线节点与通信模块协调通信,高效节能,为船舶监测从有线化到无线化奠定了基础。     

施工企业财务风险的形成与对策分析

分析了施工企业财务风险的形成,提出降低财务风险的对策。     

轮轨系统的现状与展望

总结了现有传统钢轮钢轨式轮轨系统的工程问题、研究现状和工程处理方法;分析了钢轨波磨和车轮不圆的形成和发展机理,对困扰高铁的踏面凹磨问题提出了创新性治理设想;拟通过轮轨系统的廓形设计-磨损评价-磨损治理的系统化革新思路,获得既安全又经济的线路条件个性最优化方案;总结和展望了目前轮轨系统的打磨和镟轮,讨论了轮轨系统的检测方...     

流花11-1油田水下跨接管拆除技术要点分析

介绍流花11-1油田水下设施的跨接管接头的改造与利用工程。拆除流花11-1的旧跨接管,为流花4-1新建油田的水下生产系统所利用。分析改造施工中的各种创新技术,供类似的改造工程项目参考。