A Performance Evaluation of Classic Convolutional Neural Networks for 2D and 3D Palmprint and Palm Vein Recognition

Palmprint recognition and palm vein recognition are two emerging biometrics technologies. In the past two decades, many traditional methods have been proposed for palmprint recognition and palm vein recognition, and have achieved impressive results. However, the research on deep learning-based palmprint recognition and palm vein recognition is still very preliminary. In this paper, in order to investigate the problem of deep learning based 2D and 3D palmprint recognition and palm vein recognition in-depth, we conduct performance evaluation of seventeen representative and classic convolutional neural networks (CNNs) on one 3D palmprint database, five 2D palmprint databases and two palm vein databases. A lot of experiments have been carried out in the conditions of different network structures, different learning rates, and different numbers of network layers. We have also conducted experiments on both separate data mode and mixed data mode. Experimental results show that these classic CNNs can achieve promising recognition results, and the recognition performance of recently proposed CNNs is better. Particularly, among classic CNNs, one of the recently proposed classic CNNs, i.e., EfficientNet achieves the best recognition accuracy. However, the recognition performance of classic CNNs is still slightly worse than that of some traditional recognition methods.

     

Improved Computational Model of Grid Cells Based on Column Structure

To simulate the firing pattern of biological grid cells, this paper presents an improved computational model of grid cells based on column structure. In this model, the displacement along different directions is processed by modulus operation, and the obtained remainder is associated with firing rate of grid cell. Compared with the original model, the improved parts include that: the base of modulus operation is changed, and the firing rate in firing field is encoded by Gaussian-like function. Simulation validates that the firing pattern generated by the improved computational model is more consistent with biological characteristic than original model. Besides, the firing pattern is badly influenced by the cumulative positioning error, but the computational model can also generate the regularly hexagonal firing pattern when the real-time positioning results are modified.     

时效对接触线用Cu-Ag-Cr合金性能的影响

分析了固溶温度、时效及时效前冷变形量对Cu - 0 1 %Ag - 0 1 %Cr接触线用合金性能的影响 ,结果表明 :经 870℃固溶、 40 %～ 5 0 %冷变形及 480℃× 1 5h时效处理后 ,合金可获得良好的综合性能。     

Ni-Cr-Fe-Si-B合金涂层及铝青铜基体熔合区组织的研究

采用钨极氩弧焊方法在铝青铜基体上施焊了Ni—Cr-Fe-Si—B合金涂层，并运用金相显微镜、扫描电子显微镜及能谱分析了喷涂层、熔合区及热影响区的组织形貌和成分分布。结果表明，喷焊时，在涂层与基体界面两侧各组元均发生了明显的扩散，Cu、Ni组元间可相互取代，基体融合区组织的基本组成仍为α (α γ2)，但同时也形成了Cu2FeAl7、NiAl3等新相，且融合区组织细小，涂层与基体间为冶金态结合。     

浅论综合康复机构网络系统规划

随着互联网络的迅猛发展,各康复机构的业务正不断向外延伸,而综合康复机构在发展过程中受到信息网络系统的限制.该文论述了如何解决既能按照国家有关规定将内外网络物理隔离,而又能实现内外网络的信息系统数据安全交换,使现有的资源得到最大利用.     

鸟嘌呤和8-羟基脱氧鸟嘌呤核苷在聚甘氨酸修饰电极上的电化学行为及其同时测定

在优化的实验条件下,利用电化学方法制备了甘氨酸修饰电极,对修饰膜的电活性进行了表征.用循环伏安法研究了鸟嘌呤(G)和8一羟基脱氧鸟嘌呤核苷(8-OH-dG)在聚甘氨酸修饰电极上的电化学行为,并建立了对两者进行分别检测和同时检测的分析方法.实验结果表明,聚甘氨酸修饰电极可以增强鸟嘌呤和8-羟基脱氧鸟嘌呤核苷在电极表面的吸附,并且可以加快鸟嘌呤和8-羟基脱氧鸟嘌呤核苷在电极表面的电子传输,使两种电活性物质在聚甘氨酸修饰电极上的电化学信号明显增大,检测灵敏度大大提高,并且该修饰电极具有良好的稳定性和重现性.可用于鸟嘌呤和8-羟基脱氧鸟嘌呤核昔的分别和同时检测.     

一种基于内容的双向共享组播路由协议

针对组播协议在大规模分布式交互系统应用中面临的可扩展性问题,提出一种基于内容的双向共享组播路由协议CBSMRP(content-based bi-directional shared multicast routing protocol).该协议结合运用了主动路由思想和基于内容的发布-订购模式,在基于CBT(core-based tree)结构的双向共享组播树中,根据数据包的内容实现主动路由和双向过滤,不仅解决了组播地址的维护和分配等问题,而且能够有效地减轻系统的网络负载.仿真实验及实际应用表明,该协议具有较好的扩展性,能够满足大规模分布式交互系统的网络通信要求.     

无线传感器网络重编程技术的研究与设计

针对目前重编程技术在无线传感器网络中的应用需求,在分析了OTAP、MOAP、Deluge等已有的代码分发协议优缺点的基础上,提出了一种高可靠、低存储并满足一定实时性的设计方法;该方法通过采用独特的Bootloader设计确保代码镜像的完整性以及能够从指定区域来引导程序;采用有效的数据格式、分发协议以及代码存储管理,减少了数据传输的通信量,简化了代码缺失部分的检查,从而降低了能耗,延长了网络寿命;TOSSIM仿真的结果验证了设计的正确性和性能的优越性。     

基于红外光纤多液层检测系统的研究与设计

低成本、高精度、结构简单,安全可靠的油水分离器对于提高化工生产的安全水平和效率具有重要意义;介绍了一种以微处理器AT89S52为核心、利用红外光吸收理论实时检测化工生产中多层液体的嵌入式系统;运用化工生产中各层液体浓度不同对红外光吸收程度不同的理论,设计了红外光纤传感器的信号调理电路,开发了以AT89S52为核心,包括A/D转换模块、数据存储模块、串口通讯模块在内的中央硬件处理平台;基于红外光纤液层检测系统与同类系统相比,具有成本低廉,传感检测探头本质安全,系统安全级别高,实时性好,便于大规模推广应用的特点,具有广阔的应用前景。     

基于MATLAB的地震正演模型实现

人工合成地震正演模型是进行三维模型计算的基础,在地震勘探领域具有重要意义.针对地震勘探原理,作者运用MATLAB强大数学计算和图像可视化功能,对一个三层介质模型制作二维人工合成地震记录.文章说明地震记录形成的物理机制,介绍了地质模型的构造及参数选择,针对具体地质模型制作合成地震记录,成功验证了褶积模型原理.