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.     

高职院校顶岗实习学生党员教育管理工作探析

高职院校顶岗实习学生党员教育管理还存在很多问题,如制度不健全,组织单一,模式单一以及教育管理力量薄弱。针对这些问题,高职院校要完善制度,规范教育管理活动;创新组织形式,完善教育管理组织;充分利用网络,创新教育管理模式;加强党务工作培训,增强教育管理力量。     

某建筑物火灾后主体结构检测鉴定与处理

通过对某二层住宅楼火灾后主体结构的检测鉴定与处理,分析火灾对建筑物的影响,探讨火灾后建筑结构的检测鉴定方法,提出火灾后建筑结构的处理方法,为同类建筑结构的火灾后检测鉴定及处理提供参考.     

焊缝射线照相中的缺陷影像位移

焊缝射线照相中，在底片上得到的只是一张平面投影图，除中心透照法外，其它透照法所得到的缺陷影像会沿焊缝方向相对于实际位置产生不同程度的位移。有些标准如JB4730-2005和GB3323—2005对K值有严格要求，位移量还不是很大，但另一些标准，如SY4056-1993，GB／T12605-1990和美国API标准中对K值没有要求，     

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。     

20CrMnTi螺旋锥齿轮中出现圆鼓泡问题的分析

在对机车转向架螺旋锥齿轮的粗、精加工中发现其表面鼓起许多小泡，将其剖开酸洗后呈现为小裂纹状，该现象在实际生产中较为罕见，对此进行分析，探讨，查找原因，确定这是钢材内气泡未能焊合的结果，为此制定了改进措施。     

数据中心网络TCP Incast仿真分析

为分析云计算数据中心网络中的TCP Incast问题的产生原因并探讨缓解该问题的有效途径,采用基于NS2仿真实验的方法,通过改变TCP协议类型、交换机缓冲区大小、服务请求单元大小及重传超时RTO值等影响因素,分析传输吞吐率性能的变化。分析结果表明,通过改变这些影响因素有助于缓解TCP Incast问题,但同时也存在各种缺点和局限性。     

医院住院信息管理系统的设计与实现

随着网络技术和IT技术的发展和进步,计算机应用已经涉及到人们生活的各个方面。医院住院信息管理系统是实现一个Web形式的B/S架构的数据信息收集、处理和查询的完整的信息处理方案。该系统集合了患者管理,床位管理,医生管理以及病房管理的综合性信息医院管理系统软件。运用软件工程的设计思想对网站进行了需求分析和逐步设计。