(K,Na)NbO3基无铅压电陶瓷温度稳定性的研究与进展

基于可持续发展的迫切需求,环保型无铅压电陶瓷成为当前压电铁电领域的研究前沿和热点之一.近年来,铌酸钾钠((K,Na)NbO₃,KNN)基无铅压电陶瓷因其迅速提升的压电性能,备受研究者所关注,有望取代部分铅基压电陶瓷.特别是新型相界、纳米畴等调控手段有效提升KNN基陶瓷压电系数至部分铅基水平,使其表现出优异的应用前景,有望应用于加速度传感等器件.然而相比迅速发展的压电性能,KNN陶瓷的压电温度稳定性仍相对进展缓慢,主要归结于其多晶型相界的特征,阻碍其面向实际应用发展.因此,该文结合国内外研究进展,针对KNN基无铅压电陶瓷,重点介绍了其压电系数和电致应变的温度稳定性的研究进展,并对今后该陶瓷温度稳定性的研究提出了一些展望.     

磺酸化CNTs在钙钛矿太阳能电池电极中的应用

为解决钙钛矿太阳能电池(perovskite solar cells,PSCs)中采用贵金属作为对电极(counter electrode,CE)而导致的成本高昂问题,对碳纳米管(CNTs)进行磺酸化处理,并将磺酸化CNTs(s-CNTs)作为对电极材料应用到PSCs中.利用稳态荧光(PL)、电化学阻抗(EI)等方法对...     

学术评价机制下师范大学学报发展现状及战略措施——以《浙江师范大学学报(自然科学版)》为例

由于我国师范类高校综合性科技期刊的内向性和综合性,以及办刊体制的局限性,使其长期以来形成了稿源受限、办刊宗旨不明确、竞争力低下的局面.根据师范类高校学报建设面临的现实困境,运用统计学分析、指标评价方法,并结合《浙江师范大学学报(自然科学版)》的办刊实际,分析了师范大学学报目前存在的不足和差距,探讨师范类高校学报应对高校...     

A sparse algorithm for adaptive pruning least square support vector regression machine based on globalrepresentative point ranking

Least square support vector regression(LSSVR)is a method for function approximation,whose solutions are typically non-sparse,which limits its application especially in some occasions of fast prediction.In this paper,a sparse algorithm for adaptive pruning LSSVR algorithm based on global representative point ranking(GRPR-AP-LSSVR)is proposed.At first,the global representative point ranking(GRPR)algorithm is given,and relevant data analysis experiment is implemented which depicts the importance ranking of data points.Furthermore,the pruning strategy of removing two samples in the decremental learning procedure is designed to accelerate the training speed and ensure the sparsity.The removed data points are utilized to test the temporary learning model which ensures the regression accuracy.Finally,the proposed algorithm is verified on artificial datasets and UCI regression datasets,and experimental results indicate that,compared with several benchmark algorithms,the GRPR-AP-LSSVR algorithm has excellent sparsity and prediction speed without impairing the generalization performance.     

应用(Φ/Ψ)展开法求广义Zakharov方程组的精确解

将(Φ/Ψ)展开法推广应用到广义Zakharov方程组,较简洁地得到了该方程组的丰富新精确解.这些解有利于研究等离子体波的传播特性.该方法也可用于求解其它非线性演化方程的精确解.     

转动惯量中的微元取法讨论

当计算同一物体绕定轴转动的转动惯量时,选取不同的微元进行积分,得出不同的结果.本文选取不同的微元对同一旋转曲面(空心球壳)和旋转球体绕直径轴转动的转动惯量进行了计算,对结果进行分析比较,总结出求物体转动惯量时,微元取法的规律.     

X2+XY-Y2+k=0正整数解的条件

方程X2 XY-Y2 k=0具有Fibonacci数列的正整数解,并且方程X2 XY-Y2 k=0具有Fibonacci数列的正整数解时满足一定约束条件.Lucas数列实际上是一种广义Fibonacci数列.方程X2 X-1=0的正整数解也与Fibonacci数列有关.     

Access数据库软件在双能X线骨密度仪数据管理中的应用

目的:利用计算机、M icrosoftAccess数据库软件对双能X线骨密度测定(DXA)的数据资料进行智能化管理。方法:利用M icrosoft Access在DXA分析软件包enCORE 2004输出的病人数据库中建立一系列查询,并将检索的数据输出至统计分析软件中。结果:通过设计查询,能在短时间内准确输出大量所需的病人数据,准确率达99.98%。结论:通过在M i-crosoftAccess设计查询,可以快速、准确地检索DXA分析软件包输出的病人数据库中的数据。     

股权分置解决方案的评价指标体系

系统分析了解决股权分置问题中需要考虑的各种指标.采用德尔菲法和统计分析对指标进行筛选,建立相应的层次指标体系,并利用层次分析法合理确定出各项指标的权重.研究表明:保证证券市场稳定在10项考虑的指标中占了很大的权重,具有绝对的重要性;其次是优化资源配置.     

Reactive scheduling of multiple EOSs under cloud uncertainties: model and algorithms

Most earth observation satellites(EOSs)are low-orbit satellites equipped with optical sensors that cannot see through clouds.Hence,cloud coverage,high dynamics,and cloud uncertainties are important issues in the scheduling of EOSs.The proactive-reactive scheduling framework has been proven to be effective and efficient for the uncertain scheduling problem and has been extensively employed.Numerous studies have been conducted on methods for the proactive scheduling of EOSs,including expectation,chance-constrained,and robust optimization models and the relevant solution algorithms.This study focuses on the reactive scheduling of EOSs under cloud uncertainties.First,using an example,we describe the reactive scheduling problem in detail,clarifying its significance and key issues.Considering the two key objectives of observation profits and scheduling stability,we construct a multi-objective optimization mathematical model.Then,we obtain the possible disruptions of EOS scheduling during execution under cloud uncertainties,adopting an event-driven policy for the reactive scheduling.For the different disruptions,different reactive scheduling algorithms are designed.Finally,numerous simulation experiments are conducted to verify the feasibility and effectiveness of the proposed reactive scheduling algorithms.The experimental results show that the reactive scheduling algorithms can both improve observation profits and reduce system perturbations.