Fivefold symmetry in real and reciprocal spaces

Tetrahedrally close-packed structures with juxtaposed pentagonal antiprisms, such as the μ, C14 Laves and the newly found C phases, were studied by means of HREM and SAD. It was found that each bright spot in the structural image corresponds to an antiprism. Differently oriented domains of these phases intergrow frequently with a fairly good match at the interphase boundary. All diffraction patterns of these phases show a fivefold distribution of spot-pairs, and it is shown that this fivefold symmetry comes from the pentagons and spot-pairs from two pentagonal prisms superposed in antisymmetrical positions.     

Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis

High-dimensional data appear in many applications of data mining, machine learning, and bioinformatics. Feature reduction is commonly applied as a preprocessing step to overcome the curse of dimensionality. Uncorrelated Linear Discriminant Analysis (ULDA) was recently proposed for feature reduction. The extracted features via ULDA were shown to be statistically uncorrelated, which is desirable for many applications. In this paper, an algorithm called ULDA/QR is proposed to simplify the previous implementation of ULDA. Then, the ULDA/GSVD algorithm is proposed, based on a novel optimization criterion, to address the singularity problem which occurs in undersampled problems, where the data dimension is larger than the sample size. The criterion used is the regularized version of the one in ULDA/QR. Surprisingly, our theoretical result shows that the solution to ULDA/GSVD is independent of the value of the regularization parameter. Experimental results on various types of data sets are reported to show the effectiveness of the proposed algorithm and to compare it with other commonly used feature reduction algorithms.     

Compressed Sensing Projection and Compound Regularizer Reconstruction for Hyperspectral Images

压缩感知理论提供了一种新的数据获取和压缩思路,能有效地把计算负担从编码端转移到解码端.高光谱数据具备数据稀疏性、空间相关性和谱间相关性,结合这3类先验知识,提出了一种基于复合正则化的高光谱图像压缩感知投影与重构方法.该方法的编码端只需要一个简单的投影操作;在重构算法实现中,基于变量分裂的思想,把具备多个正则项的优化问题转化成多个简单的优化问题,并用迭代方式求解.实验结果表明,本文算法在高光谱图像重构上能获得更高的峰值信噪比和更好的重构效果.该方法具备极低的编码复杂度,适用于资源受限的机载和星载高光谱成像平台.     

稻壳基碳量子点对废水中Pb(Ⅱ)的检测

为了进一步实现生物质废弃资源的综合利用,以及对废水中污染物的检测,以稻壳粉为原料,在600℃和N2氛围下煅烧完成后使用一步水热法制备了钝化剂修饰的碳量子点,得到荧光为蓝绿光的二酸铵(ACA-CQDs)改性稻壳基碳量子点.采用SEM/EDS、HRTEM、FTIR等现代分析技术对碳量子点进行了理化特性表征,发现二酸铵(ACA-CQDs)量子点可以成功检测水中的Pb(Ⅱ).建立了一种有效的检测水体中Pb(Ⅱ)简便快速高效的方法.     

基于J2EE技术的企业智能型信息平台的设计与实现

本文详细介绍了如何使用J2EE技术建立现代化企业信息平台。该智能型信息平台采用分层设计的理念,利用了B/S通信技术。建立了基础的企业信息模块库,用户可以根据自己的需要无需编写代码直接利用平台就可组合出自己所需的功能。     

Conditional probability Markov chain simulation based reliability analysis method for nonnormal variables

Based on fast Markov chain simulation for generating the samples distributed in failure region and saddlepoint approximation(SA) technique,an efficient reliability analysis method is presented to evaluate the small failure probability of non-linear limit state function(LSF) with non-normal variables.In the presented method,the failure probability of the non-linear LSF is transformed into a product of the failure probability of the introduced linear LSF and a feature ratio factor.The introduced linear LSF wh...     

水平切片解释方法在焦作井田构造复杂区的应用

河南焦作某矿地处焦作煤田东部,该矿东三盘区地质构造复杂,主采的2号煤层底板与L_8灰岩平均间距仅20m,与奥灰顶界面平均间距约100m,因此断层的存在极易导通奥灰水,形成较大的水患事故。故查明区内构造分布情况十分必要。本文重点介绍了用三维地震常规解释方法结合偏移及方差数据体水平切片解释方法在构造复杂区的应用情况,具有一定的推广意义。     

The effects of carbon content in steel on the diffusion rate of chromium

Conclusions Thermal diffusion chromizing in metallic chromium under vacuum promotes impregnation and produces a thicker layer than in chromizing by means of a powder mixture only in steel with a maximum content of 0.2% C at 1100°C and higher.     

依托网络教学平台 提高课堂教学效果

网络教学作为一种新的辅助教学手段,是目前教学改革主要研究的方向之一。通过对网络教学平台的功能分析,探讨了在网络教学平台上进行教学资源的建设、交流互动教学活动的开展和虚拟实验室的建设,通过应用实践证明,充分利用网络教学平台的优势,能有效地提高课堂教学质量和效率,培养学生的学习能力、实践能力和创新能力。