A new perspective of co-doping and Nd segregation effect on proton stability and transportation in Y and Nd co-doped BaCeO3

Bulk and surface properties of proton stability and transportation in Y and Nd co-doped BaCeO₃ (BCYN), especially the effect of Nd segregation, were investigated by first-principles calculations. Since the structure of doped BaCeO₃ at the operating temperature of proton-conducting has been unclear for a long time, we have summarized the latest experimental results and calculated the structure of the asymmetric BCYN for the first time. The results show that compared with Y, Nd doping promotes oxygen vacancy formation, however reduces proton stability. Our calculation can also provide a possible explanation for the formation of space charge layer at the grain boundary of doped BaCeO₃ in experiment. Unlike the stable Y in BCYN, Nd is calculated to be easily segregated, which can facilitate both proton hydration and proton transportation near the surface. Moreover, Nd segregation at the grain boundary is predicted to be beneficial for proton transportation between grains.     

Hierarchical Attention for Part-Aware Face Detection

International Journal of Computer Vision - Expressive representations for characterizing face appearances are essential for accurate face detection. Due to different poses, scales, illumination,...     

一种基于角色和数据项的访问控制方式

当今社会,随着信息和通信技术的飞速发展,数字信息正在被广泛使用,为了进行数据分析以支撑基于信息的决策,政府、社会机构、公司和个人都可能会收集一些涉及个人的信息数据,然而伴随着大数据资源的正在进行越来越广泛的整合、分析和利用,使得数据治理问题,特别是数据隐私保护问题也越来越被人们重视,成为大数据研究的一个重点。本文针对如何保证数据资源在使用过程中的安全访问控制问题,在主流的基于角色的访问控制方式的思路之上进行了扩展,提出了一种基于角色和数据项的访问控制方式,即在数据库中增加角色对数据表中每一项的访问权限表。实践结果表明,与目前主流的几种访问控制模式相比,实现了对数据的精细化管理,对不同角色的用户访问实现了数据可控,对大数据环境下信息系统的数据隐私保护具有一定的指导意义。     

基于随机共振原理的低频弱信号检测方法研究

介绍了双稳系统,讨论了产生随机共振的条件以及输出频谱的特性。针对原双稳系统不能检测中低频率信号的问题,利用参数变换原理,推导出了一种新的模型,阐述与分析了该模型的参数变化对输出混合信号的影响。模型相对于经典双稳系统模型降低了对输入的要求。     

巧用CL-02DS中文设定显示单元

本文介绍了利用CL－02DS中文设定显示单元，配合程序设计，使之实现记录功能。     

基于合一的链接文法

以词汇主义形式语法为基础,建立了链接文法与合一理论相结合的句法分析新方法.在封闭测试中,基于合一的链接文法句法分析精确率和召回率相比传统链接文法分别提高了9.6%和14.1%.实验表明方法具有一定独创性和高效性.     

Personalized Convolution for Face Recognition

International Journal of Computer Vision - Face recognition has been significantly advanced by deep learning based methods. In all face recognition methods based on convolutional neural network...     

咔唑衍生物在有机电致发光材料中的研究进展

综述了近几年来咔唑衍生物在有机电致发光材料中的研究进展,包括提高玻璃化转变温度、提高光量子产率、开发白光OLED材料和AIE效应材料等方面的研究进展情况.     

淀粉与乙酸乙烯酯-丙烯酸乙酯的合成与应用研究

以玉米淀粉为接枝骨架,过硫酸铵为引发剂,丙烯酸乙酯(EA)和乙酸乙烯酯(VAc)为接枝单体,进行接枝共聚,制备淀粉基木材胶粘剂.研究了反应时间、反应温度、引发剂用量以及两单体配比对淀粉与丙烯酸乙酯-乙酸乙烯酯接枝共聚反应的影响.结果表明,当引发荆浓度9.7×10-3mol/L、反应温度65℃、反应时间3h、VAc和EA体积比为6:4时,可得到较高的接枝效率和接枝率.     

Property models and theoretical analysis of novel solid oxide fuel cell with triplet nano-composite electrode

Triplet nano-composite electrodes are actively examined experimentally, but there is a shortage of theoretical study. Theoretical models are helpful for understanding the experiments and provide guidance for design optimization of the novel electrode. Here new models for computing the electrode electronic and ionic conductivities, TPB length and hydraulic radius are presented. The novel properties determined by the models are used in a multi-physics numerical model that couples the intricate interdependency among electric conductions, electrochemical reaction and gas transport in SOFC. The theoretical I–V relations and hydraulic radius are in good agreement with the experiments, validatingtheproposed property models. The property models are then used to examine the influence of microstructure and material composition. The results show that: (i) Larger core-particle size and smaller nano-particle size are helpful for improving electrode properties; (ii) The required nano-particle loading is determined by the desired electronic conductivity instead of the desired TPB length.