Optimization of material structure of ploy-Si thin film based on Al induced crystallization

Based on Al induced crystallization (AIC) method, influences of different material structures on formation and characteristics of ploy-silicon thin films were studied and optimized. Al-Si films on glass with different structures (Si/Al/Glass, Al/Si/Glass, Si/Al/…/Si/Al/Glass) were deposited on glass substrates by sputtering method. All samples were annealed for MIC with varied time processes under 500℃ N2 environment. X-ray diffraction test and scanning electron microscope were adopted to characterize cryst...     

涵洞工程软弱地基处理中松木桩的应用

介绍赤天化纸业公司涵洞工程软弱地基的处理,针对软弱地基的不同构成需采取不同的处理方法,结合工程实践,对特殊环境下采用松木桩处理软弱地基的问题作了一些探讨。     

图像压缩编码在陶瓷中的应用

随着多媒体和网络技术的发展,图像压缩编码技术显得越来越重要。本文着重介绍了哈夫曼编码、预测编码、小波分析、分形压缩四种图像压缩编码在陶瓷中的应用。     

山羊毛提取L-胱氨酸工艺研究

本文综述了L－胱氨酸生产技术进展和研究现状，介绍了山羊毛提取L－胱氨酸工艺研究进展，并分析了该工艺路线应用发展前景。     

Correlations between characteristics of maximum influence and degree distributions in software networks

Software systems can be represented as complex networks and their artificial nature can be investigated with approaches developed in network analysis.Influence maximization has been successfully applied on software networks to identify the important nodes that have the maximum influence on the other parts.However,research is open to study the effects of network fabric on the influence behavior of the highly influential nodes.In this paper,we construct class dependence graph(CDG)networks based on eight practical Java software systems,and apply the procedure of influence maximization to study empirically the correlations between the characteristics of maximum influence and the degree distributions in the software networks.We demonstrate that the artificial nature of CDG networks is reflected partly from the scale free behavior:the in-degree distribution follows power law,and the out-degree distribution is lognormal.For the influence behavior,the expected influence spread of the maximum influence set identified by the greedy method correlates significantly with the degree distributions.In addition,the identified influence set contains influential classes that are complex in both the number of methods and the lines of code(LOC).For the applications in software engineering,the results provide possibilities of new approaches in designing optimization procedures of software systems.     

矿渣微粉颗粒尺寸分布与水泥浆流变性能的灰色关联分析

以同一品种矿渣制成不同颗粒尺寸分布的矿渣微粉样品，用Blain透气仪测各试样的比表面积，用激光粒度仪测其颗粒群分布。以50％比例将矿渣微粉掺入水泥中，测水泥浆体的屈服值和粘度，并以灰色关联分析原理和方法研究了矿渣微粉的颗粒尺寸分布与水泥浆体流变性能的相关性。结果表明：矿渣微粉中1.05-5.11μm颗粒的含量与其屈服值和粘度的关联度最大，即它是关键因子；0－9．82μm颗粒含量与屈服值和粘度的关联极性均为正，说明这些颗粒与屈服值和粘度的上升有积极贡献，而9．82－101μm颗粒含量与屈服值和粘度的关联极性均为负，说明这些颗粒均对屈服值和粘度的上升有削弱作用。     

基于K-shell位置和两阶邻居的复杂网络节点重要性评估方法

K-shell分解法能快速识别复杂网络中的关键节点,但是无法辨别同壳层内节点重要性的差异,并且低估了处于网络边缘位置的高度值节点的重要性。针对这两个问题,提出一种基于K-shell位置和两阶邻居的节点重要性评估方法。该方法根据K-shell分解过程中节点移除的顺序细化节点的全局位置信息,然后综合考虑节点的局部拓扑结构信息和全局位置信息,利用两步长内邻居节点的K-shell位置信息度量节点的重要性。在八个真实网络上用传染病模型进行仿真实验,结果表明,所提方法与其他五种相关方法相比能更准确有效地评估并区分节点的重要性。     

"计算机网络基础"课程"金课"建设初探

为了响应教育部关于建设"金课"的倡议,基于我院计算机科学与技术专业的"计算机网络基础"课程特点,结合该专业的毕业要求,修订了课程目标;根据课程目标,重新整合了教学内容,确定了线上线下混合式教学模式;构建课程目标达成度评价体系,并将其用于后续教学过程.实践结果表明,该教学改革符合混合式"金课"的建设要求,提升了教学效果.     

基于线程队列动态规划法的GPU性能优化

针对目前线程队列管理方法中执行时间长的线程无法得到响应的问题,对线程队列进行了研究,提出了线程队列动态规划法(Thread Queue Dynamic Programming,TQDP).通过实验验证,对比了评估性能的参数,如Weighted Speedup,STP,ANTT等,TQDP与++DynCTAT,Mod+Bypass,PBS,BF相比,Weighted Speedup分别提高了14％,13.7％,13.3％,3.4％.与SMK,SMK-(P+W)相比,STP分别提高了8.5％,1.4％,表明提出的方法实验效果好,优化了系统性能.     

基于FPGA的深度卷积神经网络优化压缩算法研究

针对现有海量数字图像信息落后,提出了新型的压缩算法,设计出基于FPGA的视频图像采集系统.应用深度卷积神经网络优化视频图像编码算法和聚类算法实现数据特征提取,将图像与距离信息作为深度卷积神经网络的输入与输出,并利用其特征提取能力学习图像特征的距离信息,提取深度卷积神经网络中的全连接层作为编码,通过迭代调整确定图像编码,完成图像压缩.应用测试结果显示,该算法具有较高效率优势,且图像压缩解码后质量较好.