Enhanced relative permittivity in niobium and europium co-doped TiO2 ceramics

The appearance of colossal permittivity materials broadened the choice of materials for energy-storage applications. In this work, colossal permittivity in ceramics of TiO₂ co-doped with niobium and europium ions ((Eu_0.5Nb_0.5)_xTi_1-xO₂ ceramics) was reported. A large permittivity (ε_r ～ 2.01?×?10⁵) and a low dielectric loss (tanδ ～ 0.095) were observed for (Eu_0.5Nb_0.5)_xTi_1-xO₂ (x?=?1%) ceramics at 1?kHz. Moreover, two significant relaxations were observed in the temperature dependence of dielectric properties for (Eu, Nb) co-doped TiO₂ ceramics, which originated from defect dipoles and electron hopping, respectively. The low dielectric loss and high relative permittivity were ascribed to the electron-pinned defect-dipoles and electrons hopping. The (Eu_0.5Nb_0.5)_xTi_1-xO₂ ceramic with great colossal permittivity is one of the most promising candidates for high-energy density storage applications.     

The effect of optimized carbon source on the synthesis and composition of exopolysaccharides produced by Lactobacillus paracasei

This study aimed to predict the optimal carbon source for higher production of exopolysaccharides (EPS) by Lactobacillus paracasei TD 062, and to evaluate the effect of this carbon source on the production and monosaccharide composition of EPS. We evaluated the EPS production capacity of 20 strains of L. paracasei under the same conditions. We further investigated L. paracasei TD 062, which showed the highest EPS-producing activity (0.609 g/L), by examining the associated biosynthesis pathways for EPS. Genomics revealed that fructose, mannose, trehalose, glucose, galactose, and lactose were carbon sources that L. paracasei TD 062 could use to produce EPS. We identified an EPS synthesis gene cluster that could participate in transport, export, and sugar chain synthesis, and generate 6 sugar nucleotides. Experimental results showed that the sugar content of the EPS produced using fermentation with the optimized carbon source (fructose, mannose, trehalose, glucose, galactose, and lactose) increased by 115%. Furthermore, use of the optimized carbon source changed the monosaccharide content of the associated EPS. The results of enzyme activity measurements showed significant increases in the activity of 2 key enzymes involved in the glycoside synthesis pathway. Our study revealed that optimizing the carbon source provided for fermentation not only increased the production of EPS, but also affected the composition of the monosaccharides by increasing enzyme activity in the underlying synthesis pathways, suggesting an important role for carbon source in the production of EPS by L. paracasei TD 062.     

华北中部平原地表水入渗试验 ——以南宫溹泸河为例

华北平原中部地区含水砂层颗粒细且薄,对地下水储蓄和地表水入渗不利。选择河道带进行地表水入渗试验,以获取最大地下储蓄空间,为该区水资源合理利用提供良策。试验区选在南宫溹泸河,人工引水1.5个月,获取大量监测数据,据此对地下水位和水量的变化特征、入渗量和地下水库调蓄能力进行研究,结果表明：干涸河道引水入渗,入渗比例可达80.54%;溹泸河上下游2个断面Ⅰ-Ⅰ′和Ⅱ-Ⅱ′河道垂向渗透速度为10.81 m/d和10.72 m/d;水平扩散速度为1.69 m/h和2.38 m/h。由于Ⅰ-Ⅰ′断面垂向渗透速度大于Ⅱ-Ⅱ′断面,而水平扩散速度小于Ⅱ-Ⅱ′断面,所以Ⅰ-Ⅰ′断面形成的水丘相比Ⅱ-Ⅱ′断面较为明显,且不易消散。计算结果显示,试验区调蓄库容为1.87亿m3。     

基于卷积神经网络的直线同步电动机电枢绕组故障诊断

通过绕组函数理论对直线同步电动机进行分析,提出一种基于卷积神经网络(CNN)的直线同步电动机故障诊断方法。从直线同步电动机的数学模型出发,基于绕组函数理论对电动机正常状态和匝间短路故障状态进行仿真,对电流波形图进行快速傅里叶变换(FFT)得到不同状态的数据集。利用CNN中的GoogLeNet网络结构,在保持网络空间维度的同时不增加故障诊断的计算量。将数据集输入到网络模型进行故障诊断,仿真结果表明GoogLeNet网络结构对直线同步电动机电枢绕组的短路故障识别率达到了96.5%以上。     

In-depth investigation on the factors affecting the performance of high oil-absorption resin by response surface method

A series of high oil-absorption resins with low cross-linking degree were synthesized by suspension polymerization using stearyl methacrylate(SMA), 2-Ethylhexyl methacrylate(EHMA), and styrene(St) as monomers.Response surface methodology(RSM) with central composite design(CCD) was also applied to determine the optimal parameters that are mainly known to affect their synthesis. Thus, the effects of the monomer mass ratio(EHMA:SMA), the rigid monomer(St) dosage, the porous agent(acetone) dosage, and their pairwise interaction on the resin's oil-absorption capacity were analyzed, highlighting PSES-R_2 as the resin with the optimum performance. The pure oil-absorption rates of PSES-R2 for gasoline, diesel, and kerosene were 11.19 g·g~(-1),16.25 g·g~(-1), and 14.84 g·g~(-1), respectively, while the oil removal rates from oily wastewater were 98.82%,65.11%, and 99.63%, respectively.     

冷弯管模具有限元优化设计

采用基于有限元理论的优化设计方法对应用于反变形冷弯管弯曲的模具进行设计研究.将需要进行大量试验来改进的弯管工艺通过计算机模拟仿真来替代,预测出模具的变形和优化工艺参数,从而大大降低了生产加工成本.     

基于嵌入式Linux系统下的Qt开发

随着嵌入式系统的发展,在Linux下使用Qt开发嵌入式图形用户界面是嵌入式应用的重点。我们通过实例,阐述了基于嵌入式Linux图形界面开发过程并具体描述Qt/Embedded图形系统的移植。     

基于姿态编码器的2D/3D脊椎医学图像实时配准方法

2D/3D医学图像配准是骨科手术三维实时导航中的一项关键技术,然而传统的基于优化迭代的2D/3D配准方法需要经过多次迭代计算,无法满足医生在手术过程中对于实时配准的要求。针对该问题,提出一种基于自编码器的姿态回归网络来通过隐空间解码捕获几何姿态信息,从而快速地回归出术中X射线图像对应的术前脊椎位置的3D姿态,并经过重新投影生成最终的配准图像。通过引入新的损失函数,以“粗细”结合配准的方式对模型进行约束,保证了姿态回归的精确度。在CTSpine1K脊椎数据集中抽取100组CT扫描图像进行10折交叉验证,实验结果表明：所提出的模型所生成的配准结果图像与X射线图像的平均绝对误差（MAE）为0.04,平均目标配准误差（mTRE）为1.16 mm,单帧耗时1.7 s。与基于传统优化的方法相比,该模型配准时间大幅缩短。相较于基于学习的方法,该模型在快速配准的同时,保证了较高的配准精度。可见,所提模型可以满足术中实时高精配准的要求。     

基于深度森林的多级特征融合SAR目标识别

大多数传统的合成孔径雷达(SAR)目标识别方法仅仅使用了单一的幅度特征,但是由于斑点噪声的存在,仅仅使用幅度特征会限制识别的性能.为了进一步提高SAR目标识别的性能,该文提出了一个基于深度森林的多级特征融合SAR目标识别方法.首先,在特征提取阶段,提取了多级幅度特征和多级密集尺度不变特征变换(Dense-SIFT)特征.幅度特征反映了目标反射强度,Dense-SIFT特征描述了目标的结构特征.而多级特征可以从局部到全局表征目标.随后,为了更完整、充分地反映SAR目标信息,借鉴深度森林的思想对多级幅度特征和多级Dense-SIFT特征进行联合利用.一方面通过堆叠的方式不断将多级幅度特征和多级Dense-SIFT特征进行融合,另一方面通过逐层的特征变换挖掘深层信息.最后利用得到的深层融合特征对目标进行识别任务.该文在MSTAR数据集上进行对比实验,实验结果表明所提算法在性能方面取得了提升,且其性能对超参数设置具有一定的鲁棒性.     

基于MATLAB的同步发电机PSS与励磁系统仿真

在分析同步发电机励磁控制系统模型的基础上,研究了以电力系统稳定器（Power System Stabilizer—PSS）为辅助控制的同步发电机励磁控制方式,并基于MATLAB／SIMULINK构建了包含PSS的励磁控制系统的仿真模型。根据仿真结果分析在电力系统出现不同故障（三线短路以及断线故障）情况下带有PSS的励磁控制系统的控制性能,并与不加载PSS的励磁系统进行了比较,得到了在同步机励磁系统中加载PSS的必要性,为励磁系统的设计提供了依据。