医用微型温度传感针的研制

介绍一种采用微细加工技术,将热敏电阻微型化制作的针体外径φ0.40mm的微型医用温度传感针的设计、结构、工艺、实验及临床应用,并展望其发展前景。     

管道内环缝自动MAG焊的设备与工艺研究

本文介绍了适于小直径内环缝 MAG 焊中使用的电磁感应式焊缝跟踪系统。在传感器方面解决了错边干扰、定位焊点干扰及电弧高温的影响。研制了用于小直径内环缝的焊接设备,提出了相应的MAG焊接工艺,并在应用中取得良好效果。     

Three-dimensional finite element analysis of thick laminated plates

A displacement-based, three-dimensional finite element scheme is proposed for analyzing thick laminated plates. In the present formulation, a thick laminated plate is treated as a three-dimensional inhomogeneous anisotropic elastic body. Particular attention is focused on the prediction of transverse shear stresses. The plane of a laminated plate is first discretized into conventional eight-node elements. Various through-thickness interpolation is then denned for different regions of the plate; layerwise local shape functions are used in the regions where transverse shear stresses are of interest, while an ad hoc global-local interpolation is used in the region where only the general deformation pattern is concerned. For satisfying the displacement compatibility between these two regions, a transition zone is introduced. The model incorporates the advantages of the layerwise plate theory and the single-layer plate theory. Details of formulation will be presented together with several numerical examples for demonstrating the proposed scheme.     

常温静电封接技术的研究与实验尝试

根据静电封接的机理，配制了一种低温玻璃作为封接材料，初步完成了常温下的静电封接实验。     

一种基于循环谱切片的通信辐射源识别方法

提出一种基于循环谱切片的通信辐射源个体识别方法.通过计算信号的循环谱密度矩阵,将循环谱密度切片作为初始高维特征,再采用主成分分析方法对其进行降维处理得到指纹特征矢量,最后采取概率神经网络分类器实现辐射源的个体识别.通过对20部手持机的实验表明,使用该方法提取的特征矢量能够较好地反映信号的循环平稳特性,并且特征参数对噪声干扰不敏感,在较低信噪比条件下,系统仍具有较高的正确识别率,说明该方法确实能够较好地解决同型号、同批次、同工作参数通信辐射源的个体识别问题.     

用旋转粘度计作在线连续测量的动态问题

非牛顿流体的粘度不定性及轴向流体运动都会对粘度测量值产生重要影响.本文对这些问题进行了讨论并在实践中取得了一些结果.     

Integrated layout and topology optimization design of multi-component systems under harmonic base acceleration excitations

Structural and Multidisciplinary Optimization - The integrated optimization of component layout and structural topology is studied in this paper to improve the dynamic performance of the...     

Block-based neural networks for personalized ECG signal classification.

This paper presents evolvable block-based neural networks (BbNNs) for personalized ECG heartbeat pattern classification. A BbNN consists of a 2-D array of modular component NNs with flexible structures and internal configurations that can be implemented using reconfigurable digital hardware such as field-programmable gate arrays (FPGAs). Signal flow between the blocks determines the internal configuration of a block as well as the overall structure of the BbNN. Network structure and the weights are optimized using local gradient-based search and evolutionary operators with the rates changing adaptively according to their effectiveness in the previous evolution period. Such adaptive operator rate update scheme ensures higher fitness on average compared to predetermined fixed operator rates. The Hermite transform coefficients and the time interval between two neighboring R-peaks of ECG signals are used as inputs to the BbNN. A BbNN optimized with the proposed evolutionary algorithm (EA) makes a personalized heartbeat pattern classifier that copes with changing operating environments caused by individual difference and time-varying characteristics of ECG signals. Simulation results using the Massachusetts Institute of Technology/Beth Israel Hospital (MIT-BIH) arrhythmia database demonstrate high average detection accuracies of ventricular ectopic beats (98.1%) and supraventricular ectopic beats (96.6%) patterns for heartbeat monitoring, being a significant improvement over previously reported electrocardiogram (ECG) classification results.     

基于个体选择的动态权重神经网络集成方法研究

神经网络集成技术能有效地提高神经网络的预测精度和泛化能力,已成为机器学习和神经计算领域的一个研究热点。该文针对回归分析问题提出了一种结合应用遗传算法进行个体选择和动态确定结果合成权重的神经网络集成构造方法。在训练出个体神经网络之后,应用遗传算法对个体网络进行选择,然后根据被选择的各个体网络在输入空间上对训练样本的预测误差,应用广义回归网络来动态地确定各个体网络在特定输入空间上的合成权重。实验结果表明,与仅应用个体网络选择或动态确定权重的方法相比,该集成方法基本上能取得更好地预测精度和相近的稳定性。     

VC++6.0下用中断实现转速实时测量

本文介绍了在Windows98下利用VxD技术编写中断处理程序．并且利用VC 6．0的多线程技术实现转速的实时测量，并实现了数据存储、再现功能，可用于数据采集，实时控制等领域。