基于模糊层次分析法综合评判工会竞赛成绩

为综合评判工会组织的各项竞赛活动的成绩,提出了基于模糊层次分析法的综合评判措施,主要包括竞赛项目权重的确定、竞赛成绩的量化和综合评判等过程.实际应用表明,模糊层次分析法可以最大限度减少主观因素对评价结果的影响,合理地确定各项赛事在工会竞赛活动中的权重,结合竞赛成绩的量化矩阵,使得综合评价结果科学、可信.     

一种基于步幅长度及频域特征的步态识别方法

步态识别作为一种较新的生物认证技术有其独特优势,它旨在根据人行进过程中的行走步态模式来识别其身份.提出一种基于步幅长度及频域特征的步态识别方法:首先采用背景减除算法实现运动人体检测,并根据步幅长度变化特征进行周期分割.然后提取步幅长度极值结合关键帧的频幅均值构成五维特征向量,最后用标准模式分类器在中科院自动化所提供的CASIA步态数据库中进行实验,在降低了算法复杂度的同时,获得了令人鼓舞的实验结果.     

微小型工业汽轮机智能交流伺服调节系统研究

为了解决微小型工业汽轮机组调节控制系统设备简陋,动态响应和稳态精确度差的问题,提出了一种采用交流伺服电机和模糊PID控制的自动调节系统．在对调节系统部件特性数据进行分析的基础上,应用机理分析法建立了工业汽轮机交流伺服调节系统的数学模型,建立了以模糊PID控制和常规PID为主的控制器仿真模型,并利用MATLAB（SIMULINK）进行了动态仿真．结果表明,采用交流伺服电机作为执行器比传统的机械式调节系统具有更优良的动态和稳态性;采用模糊PID控制策略的调节系统在减少调节时间、改善动态品质方面均好于常规PID调节器．为工业汽轮机交流伺服调节系统的进一步研究提供了理论基础．     

企业家精神对企业动态核心能力影响的实证研究

以企业家精神和企业动态核心能力的测量维度研究为基础,提出二者影响关系的理论框架模型．通过对368家企业的深度访谈和问卷调查,运用结构方程模型方法对理论模型拟和度,企业家精神对企业动态核心能力影响的路径进行了实证研究．研究结果表明,企业家精神对企业核心能力存在显著、正向且直接的影响,为企业推动企业家精神的培育与企业核心能力的提升提供了相关建议．     

基于视频帧的彩色水印嵌入算法研究

为了增强水印的内容认证性,提出了视频帧中嵌入彩色水印的算法.先分别选取I帧的单色通道做DCT变换,分块后提取奇异值,将彩色水印的对应通道层做DWT变换,对低频区域置乱后提取奇异值,再将水印奇异值嵌入到载体奇异值中,然后由三色通道合成水印视频图像.最后进行了攻击实验,实验结果表明,该算法具有较好的水印提取能力和一定的鲁棒性.     

混合炭黑TST-103在轮胎内层帘布胶中的应用

研究了混合炭黑TST-103在轮胎内层帘布胶中的应用。小配合和车间大料及成品轮胎试验表明，使用8份混合炭黑TST-103，内层帘布胶的工艺性能、物理性能及实际使用性能均与原内层帘布胶相近，而每千克胶料成本降低了0．33元。     

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.

     

物流中心选址问题的二元语义决策方法

为了有效避免语言评价中信息的损失和扭曲,从而提高物流中心选址的准确性,在层次分析法中引入三角模糊数,将各评价指标量化,提出一种二元语义决策选址方法.给出二元语义评价的方法与步骤,并通过物流中心选址的算例分析说明该方法的合理性.     

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.