含给电子Z-N催化剂催化乙烯/1-丁烯共聚的研究

研究了两种含有给电子体分别为对硝基苯胺、乙二醇二甲醚的Ziegler-Natta催化剂催化乙烯与1-丁烯高压的共聚反应性能,主要考察了反应条件对聚合活性、聚合物物理性质的影响,同时采用红外光谱法测定了聚合物的支化度.研究表明,给电子体为乙二醇二甲醚的催化剂催化活性高于对硝基苯胺.反应条件如反应压力、温度、铝钛比对聚合活性、丁烯的插入率以及聚合物性质都有明显影响.高的反应压力有利于1-丁烯插入和聚合物堆密度的提高;反应温度在50℃时的聚合活性最大,聚合物的支化度较高,聚合物熔点较低;铝钛比为500时聚合活性高于低铝钛比的聚合活性.     

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．     

互联电力系统未知机理低频振荡分析

近年来,我国互联电力系统多次发生低频振荡。针对南方互联电网"5.13"功率振荡,首先采用特征值分析法详细分析南方互联电网低频振荡特性,得出主要振荡模式以及发电机组参与因子和模态分布图。其次利用仿真软件PSS/E,对强相关机组的切机、三相短路故障以及原动机周期扰动分别进行时域仿真,并与实际振荡曲线进行对比。结果表明,南方电网此次功率振荡不是因为强相关机组电气侧故障,采用负阻尼机理也不能很好地解释,其产生原因可能是发电机组受原动机周期扰动有关。     

基于Artcut文字数控雕刻加工技术的研究

Artcut软件提供了多种雕刻路径生成方式,主要包括雕刻、切割、钻孔和影像雕刻等四大类．而在文字加工技术中,主要是利用雕刻和切割两种方式,其中雕刻又分为二维雕刻和三维雕刻两种．利用Artcut,结合实际加工,重点探讨雕刻和切割两种加工方式在文字加工技术中的应用和区别．     

Highly ion-conductive solid polymer electrolytes based on polyethylene non-woven matrix

Highly ion-conductive solid polymer electrolyte (SPE) based on polyethylene (PE) non-woven matrix is prepared by filling poly(ethylene glycol) (PEG)-based crosslinked electrolyte inside the pores of the non-woven matrix. The PE non-woven matrix not only shows good mechanical strength for SPE to be a free-standing film, but also has very porous structure for high ion conductivity. The ion conductivity of SPE based on PE non-woven matrix can be enhanced by adding sufficient non-volatile plasticizer such as poly(ethylene glycol) dimethyl ether (PEGDME) into ion conduction phase without sacrificing mechanical strength. SPE with 20 wt.% crosslinking agent and 80 wt.% non-volatile plasticizer shows 3.1 × 10⁻⁴ S cm⁻¹ at room temperature (20 °C), to our knowledge, which is the highest level for SPEs. It is also electrochemically stable up to 5.2 V and has high transference number about 0.52 due to the introduction of anion receptor as an additive. The interfacial resistance between Li electrode and SPE is low enough to perform charge/discharge test of unit cell consisting of LiCoO₂/SPE/Li at room temperature. The discharge capacity of the unit cell shows 87% of theoretical value with 86% Coulombic efficiency.     

The optical properties of hot-pressed magnesium fluoride and single-crystal magnesium fluoride in the 0.1 to 9.0 μm range

A polycrystalline high-density magnesium fluoride, fabricated into plates or shapes by hot-pressing, exhibits high in-line transmittance from 2.5 to 6.0 m, and single-crystal magnesium fluoride extends from 0.1 to 6.0 m. The ultimate and practical transmittance of hot-pressed magnesium fluoride using intrinsic and extrinsic reflectance, absorptance and scattering mechanisms, are investigated. The intrinsic scattering mechanism due to the polycrystalline structure is basically responsible for the tremendous difference in transmittance in the short wavelength region of the spectrum. The in-line transmittance of polycrystalline and singlecrystal MgF₂ is discussed in terms of sample thickness.     

MEMS陀螺仪的稀疏冗余去噪

为了提高随钻测量过程中MEMS陀螺仪的测量精度,抑制振动信号等对陀螺仪漂移造成测量精度的影响,采用经验模态分解(Empirical Mode Decomposition,EMD)和压缩感知(compressed sensing,CS)的算法进行降噪.首先对MEMS陀螺信号进行EMD分解,利用连续均方误差(CMSE)计算两个连续重构陀螺仪信号的欧式距离,以此将分解得到的模态函数(IMFs)以高、低频的形式分离,剔除高频噪声模态的影响;构建冗余字典,使低频IMFs分量在该字典上稀疏表示,利用贝叶斯理论对优化剩余IMFs分量重构;同时,在该字典上添加一列误差补偿项,通过贝叶斯估计求得.最后将处理后的剩余IMFs分量和补偿项叠加重构.去噪前后,MEMS陀螺仪数据解算的方位角累积误差由11.8562°减小到0.4725°.仿真实验分析可知,该算法可有效去除陀螺仪信号中的噪声.     

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.