关于交换环上矩阵的高层点定理

在关于交换环的高层正点定理和高层非负点定理的基础上,在交换环范畴中进一步建立了所谓的高层零点定理。同时,针对交换环上矩阵,获得了关于交换环上矩阵的高层正点定理,高层零点定理和高层非负点定理。该点定理可看作是关于交换环上矩阵的通常点定理的一种推广。     

利用模拟方法研究RFQ加速器中正、负离子束同时加速的动力学问题

在以时间为自变量的PARMTEQ程序的基础上,添加了另一带相反电荷的束流进行动力学计算,同时考虑了正、负离子束加速的空间电荷效应和束团间的作用.并针对特定结构参数的RFQ加速器,给出了双束加速的动力学模拟过程和结果.模拟计算的目的在于研究正、负离子束在RFQ加速结构中同时加速所引起的动力学问题.结果表明,正、负离子束同时加速有助于克服径向空间电荷效应,但在流强较大时,双束加速时,将会在纵向出现明显的异性电荷之间的“捕捉”(trap)现象,从而导致纵向粒子损失数目的增加.因此,为实现双束加速,必须专门重新设计RFQ加速器,使其传输效率高于单束,才能体现出双束加速的优越性     

Oxide Nanofibers as Catalysts Toward Energy Conversion and Environmental Protection

Ultrathin oxide nanofibers are widely used in an array of catalytic applications toward energy conversion and environmental protection. Remarkable progress has been made with regard to the development of engineering oxide nanofibers into unique structures to suit or enable various functions. We aim to provide a comprehensive overview of oxide nanofibers, including the structure engineering, derivates, assemblies and their applications. We begin with a brief introduction to the production of nanofibers with diversified compositions, structures and properties, followed by discussions of the wet-chemistry derivates. Afterward, we discuss the applications of catalytic oxide nanofibers, including electrocata-lysis, photocatalysis and thermal-catalysis. Then we highlight the most significant role of oxide nanofibers as catalyst support for the immobilization of metal nanoparticles. Moreover, we showcase the advanced assemblies based on oxide nanofibers, including their use as multi-functional membranes and foams. In the end, we offer perspectives on the challenges, opportunities and new directions for future development.     

一种基于多准则决策和PSO-LM混合优化算法的多峰Brillouin散射谱的特征提取方法

采用传统方法对多峰Brillouin散射谱进行拟合的过程中,通常是以谱线最大功率点为基准的,却忽略了其他比该点小但却是极值的功率点。这样获得的拟合曲线通常只有一个峰值,相当于把除最高峰之外还有多个小峰的多峰Brillouin散射谱进行了简化,导致大量有用信息的丢失。为了提高Brillouin散射谱的特征提取精度,提出了一种基于MCDM和PSO-LM混合优化算法的多峰Brillouin散射谱特征提取方法(MCDM-PSO-LM)。MCDM可以识别和准确定位多峰Brillouin散射谱的各个波峰和波谷;PSO-LM混合优化算法可以实现分别对各个波峰和波谷的曲线进行拟合并找到每一个波峰的中心频率,该算法既克服了PSO算法过早收敛于局部极值和LM算法依赖初值的问题,又可以将PSO算法的全局搜索能力和LM算法的局部收敛能力结合在一起。较传统算法而言,MCDM-PSO-LM算法保证了对最优值求解的速度和精度,提高了运算能力,使解析解最大限度地接近最优值。分别在不同信噪比和不同线宽条件下进行仿真验证,频移和温度误差分析结果表明,MCDM-PSO-LM方法可以对多峰Brillouin散射谱的各个波峰与波谷进行准确定位,可用于多峰Brillouin散射谱的特征提取,识别效果明显强于传统算法,提高了信息分析的准确性。     

MAGNETIZATION CHARACTERISTICS OF YBaCuO BULK MATERIAL FABRICATED BY THE SEEDING TECHNIQUE

YBaCuO (YBCO) bulk materials with large superconductive domains were fab-ricated using a small SmBa₂Cu₃O_x grain as the seed for growth, The capacities of strong flux pinning and well grain linking in the material have been shown in the investigations on magnetization loop end ac susceptibility. The strong flux pinning made it possible for the large YBCO bulk to capture a great dea. l of flux and keep the residual magnetism stable. The residual field intensity H_rem was shown to have a maximum of 0.125 T after the 0.5 T NdFeB magnetizing field was moved away. We did not find much decline of H_rem in a short time. The magnetized YBCO bulk pro-duced repulsive force upon another YBCO bulk as the permanent magnet did. We measured and calculated the force between two YBCO bulks. The theoretical result was in agreement with the experimental one by and large.     

Configuration of the valence neutrons of 17B

The reaction cross section of ~(17)B on ~(12)C target at(43.7±2.4)MeV/u has been measured at the Radioactive Ion Beam Line in Lanzhou(RIBLL).The root-mean-square matter radius(R_(rms))was deduced to be(2.92±0.10)fm,while the R_(rms)of the core and the valence neutron distribution are 2.28 fm and 5.98 fm respectively.Assuming a"core plus 2n"structure in ~(17)B,the mixed configuration of(2s_(1/2))and(1d_(1/2))of the valence neutrons is studied and the s-wave spectroscopic factor is found to be(80±21)%.     

应用波段深度分析和偏最小二乘回归的冬小麦生物量高光谱估算

当作物生物量较大时,现有植被指数由于受饱和问题限制,不能较好的估算作物生物量。针对此问题,尝试将波段深度分析与偏最小二乘回归(partial least square regression,PLSR)结合,提高对大田冬小麦生物量的估算精度,并将两者结合建立的模型与应用代表性植被指数建立的模型进行生物量估算精度比较。波段深度分析主要对冬小麦冠层光谱550～750nm范围进行,采用波段深度、波段深度比(band depth ratio,BDR)、归一化波段深度指数和归一化面积波段深度对波段深度信息进行表征。在建立的模型中,波段深度分析和PLSR结合的估算精度比应用植被指数模型的精度高,其中BDR与PLSR结合的估算精度最高(R2=0.792,RMSE=0.164kg.m-2)。研究结果表明波段深度分析与PLSR结合能较好的克服生物量较大时存在的饱和问题,提高冬小麦生物量的估算精度。     

基于形态学成分分析的静态极光图像分类算法

为了解决海量极光图像手工分类效率低下的问题,提出一种静态极光图像自动分类系统,使用形态学成分分析将极光纹理从复杂背景中分离出来,从纹理中提取特征并利用支持向量机进行分类.实验结果表明:该算法分类正确率较之于传统方法均提高约10%,当分类器支持向量机+线性核函数时,分类速度最快,最适合于海量数据的处理.     

农药丁吡吗啉与腐殖酸作用机理探讨

探讨农药丁吡吗啉与腐殖酸的作用机理, 可进一步了解农药在土壤中腐殖酸催化下降解的行为过程。将市售腐殖酸进行逐级分离,获得黄腐酸、棕腐酸和黑腐酸的固态或溶液状态,而后分别与农药丁吡吗啉进行作用,利用红外,荧光两种分析方法对其作用机理进行了解释。结果表明,三组分与丁吡吗啉之间广泛存在范德华力、次级键等弱作用力。黄腐酸与丁吡吗啉之间存在氢键和电荷转移吸附等作用力,棕腐酸与丁吡吗啉存在电荷转移吸附等作用力,黑腐酸与丁吡吗啉之间的作用力最弱,即依照黄腐酸、棕腐酸、黑腐酸三组分平均分子量依次递增的顺序,与农药丁吡吗啉之间的作用力依次降低。     

利用可见近红外光谱多指标综合预测生鲜牛肉储存期

建立了牛肉基于TVB-N、菌落总数、pH值和肉色参数L*多个指标的储存期预测模型,利用可见近红外光谱(Vis/NIR)技术结合区间偏最小二乘(iPLS)和遗传算法(GA)建立了各个指标的PLS预测模型,实现了多指标综合无损快速预测4 ℃下牛肉的储存期。用iPLS和iPLS-GA提取有效波长变量建立PLS预测模型,以预测相关系数和预测标准差作为模型评价标准,结果表明用iPLS-GA选择变量建立的各个指标的PLS预测模型均优于全波段和iPLS组合的PLS模型。由多个指标的预测值和储存期的预测模型,对校正集和预测集样品储存期进行预测,其预测相关系数和标准差分别是0.903, 0.897和1.88, 2.24。说明利用光谱技术结合得出的储存期预测模型可以实现多指标综合预测牛肉储存期,为无损快速检测牛肉储存期或货架期提供了一种新方法。