Hydrothermal Synthesis, Crystal Structure, and Characterization of a Novel Terbium（Ⅲ） Coordination Polymer Bridged by 5-Sulfoisophthalate Trivalent Anions

Introduction Recently, several efforts have been made for thestudy of coordination polymers assembled from lantha-nide ions and aromatic polycarboxylate ligands becauseof their intriguing structural diversity and potentialapplications in several fields, s…     

A CS-AdaBoost-BP model for product quality inspection

Quality inspection is essential in preventing defective products from entering the market. Due to the typically low percentage of defective products, it is generally challenging to detect them using algorithms that aim for the overall classification accuracy. To help solve this problem, we propose an ensemble learning classification model, where we employ adaptive boosting (AdaBoost) to cascade multiple backpropagation (BP) neural networks. Furthermore, cost-sensitive (CS) learning is introduced to adjust the loss function of the basic classifier of the BP neural network. For clarity, this model is called a CS-AdaBoost-BP model. To empirically verify its effectiveness, we use data from home appliance production lines from Bosch. We carry out tenfold cross-validation to evaluate and compare the performance between the CS-AdaBoost-BP model and three existing models: BP neural network, BP neural network based on sampling, and AdaBoost-BP. The results show that our proposed model not only performs better than the other models but also significantly improves the ability to identify defective products. Furthermore, based on the mean value of the Youden index, our proposed model has the highest stability.

     

LaSrBO4型复合氧化物的合成及其CO氧化活性研究

LaSrBO4(B=Cu、Ni、 Co、 Fe、 Mn、 Cr ) was studied with respect to their preparation, characteristics and catalytic oxidation activity by means of XRD, XPS, electric conductivity and activity evaluation. Results showed that the calcination temperature has great influence on the formation of the phases of such samples, and was associated with the radius of B ion. The greater the B ion radius, the higher the calcination temperature required for the formation of the phases. It was also found that the activity and the relative content of adsorptive oxygen and lattice oxygen on the sample surf are, the activation energy of electron conduction and the CO oxidation activity may vary with different B ions, and demonstrate a dual-peak pattern with the increase in the number of 3d electrons of the B ion.     

基于新型核与灰度序列的时滞GM(1,N)模型及其应用

为了解决GM(1,N)模型在新型核与灰度的基础上,对驱动项的延迟作用机理不明确的问题,将时滞参数引入到GM(1,N)模型的驱动项中,构建了基于新型核与灰度的时滞GM(1,N)模型,分析了时滞参数的辨识方法,讨论了新模型的建模机理。为了更好地对该模型的有效性进行验证,将优化的时滞GM(1,N)模型对南京市的雾霾进行预测分析,选择GM(1,N)模型、一元回归模型与文中的优化模型进行对比。结果显示,优化模型对PM₁₀浓度的拟合精度更高,且误差均控制在5%之内,从而验证了提出的优化模型适用于具有时滞特征数据的模拟和预测。     

一般工商业零售电价套餐适应性评估与优化方法

在电力体制改革的大背景下,合理评估零售电价套餐适应性,对控制电网经营风险和推进售电侧改革有重要意义。针对我国电力市场以及一般工商业的特点,首先从竞争、用户以及市场环境角度出发建立了一般工商业零售电价套餐评估指标体系;其次将层次分析法和改进的灰色白化权函数相结合,对电价套餐进行适应性评估;最后针对该评估方法建立了基于蚁群算法的优化模型,以最小成本得到提高电价套餐适应性等级的优化方案,并验证了该方法具有良好的鲁棒性,具有一定的参考意义。     

Hybrid subconvexity bounds for $$L(1/2,\hbox {sym}^{2} f \otimes \chi )$$ L ( 1 / 2 , sym 2 f ⊗ χ )

The Ramanujan Journal - Let $$k\ge 2$$ be an even integer, and let M be a positive integer. We prove a hybrid subconvexity bound for $$L(1/2,\text {sym}^2 f\otimes \chi )$$ with the associated...     

Regularity of Viscosity Solutions of the Biased Infinity Laplacian Equation

In this paper, we are interested in the regularity estimates of the nonnegative viscosity super solution of the $β$−biased infinity Laplacian equation $$∆^β_∞u = 0,$$ where $β ∈ \mathbb{R}$ is a fixed constant and $∆^β_∞u := ∆^N_∞u + β|Du|,$ which arises from the random game named biased tug-of-war. By studying directly the $β$−biased infinity Laplacian equation, we construct the appropriate exponential cones as barrier functions to establish a key estimate. Based on this estimate, we obtain the Harnack inequality, Hopf boundary point lemma, Lipschitz estimate and the Liouville property etc.     

云计算技术在区域安全通信中的应用

随着互联网技术的不断发展,网络已成为社会经济发展的重要支撑工具。然而,受限于传统通信技术的约束,网络通信信息存在被共享、泄露等风险。基于云计算技术的区域安全通信技术可以有效解决无线通信技术按身份分配不同通信权限的问题,用户拥有“普通域”与“安全域”功能,以保证通信网络的安全。文中以云计算技术的概念为切入点,阐述了云计算技术在区域通信中的应用价值,最后提出了构建基于云计算区域安全通信系统的具体方案,并通过实验验证了该系统具有良好的应用性能。     

退火工艺对HgCdTe材料位错密度及电学性能影响的研究

实验分别采用高低温退火和循环变温退火方式对液相外延生长的HgCdTe材料进行饱和汞压热处理,研究了两种热处理工艺对碲镉汞材料位错密度及电学性能的影响。结果表明：相较于高低温退火,经循环变温退火后HgCdTe材料的位错密度有了明显的降低,并且材料的迁移率有了显著的提升。研究发现循环变温退火是一种较好提升HgCdTe材料性能的热处理方法。     

基于Transformer的实时语义分割网络及应用北大核心CSCD

为提升机器人对电缆隧道场景的环境感知能力,提出了一种适用于电缆隧道场景的实时语义分割网络。使用Transformer结构提取图像全局语义信息,同时使用卷积神经网络捕获图像局部细节信息,将二者结合增强图像分割精度。同时,针对机器人以及隧道特点,将语义分割结果转化为机器人前方目标信息以及机器人偏离情况信息,辅助机器人导航避障。实验结果表明,所提出的网络在公共数据集Cityscapes、CamVid上平均交叉联合度量分别为77.2%、76.8%,相比BiSeNet分别提高了8.8%、8.1%,并能较好地适应于实际电缆隧道环境中,提供有效的场景感知信息,实现自主避障。