Application of orthogonal collocations to some transport phenomena problems in co-axial cylinders and spheres

Collocation methods are developed for the solution of some differential equation models for transport phenomena problems in one-and two-dimensions in co-axial annuli of spherical and cylindrical shapes. General formulae are developed to obtain orthogonal polynomials over an arbitrary interval using two types of weighting functions. The convergence and accuracy of the methods are demonstrated using two test problems, i.e., calculation of effectiveness factors in (a) a spherical pellet with peripherally deposited catalyst and (b) a Raschig ring type cylindrical catalyst pellet. Comparisons of results obtained from the present methods with analytic solutions for the first-order reactions indicate good agreement. Numerical solutions are also obtained for the second-and the third-order reactions for which analytic solutions are not available. Results obtained in terms of a new Thiele modulus involving the ratio of volume of peripherally deposited part of catalyst to exterior surface area indicate that this normalization brings effectiveness factor versus Thiele modulus curves close together for co-axial spherical and long cylindrical pellets, as it does for these geometries without the inner co-axial portion.     

三维纺织结构增强复合材料的几何模型

基于对织物断面显微照片的观察和分析，首先建立了三维正交织物的单元结构模型，并以此为基础建立了正交接结织物的单元结构模型；利用几何模型公式推导建立几何结构特征参数与编织工艺参数之间的理论关系；在此基础上计算了纱线长度、接结经与经纱的取向角和纤维体积含量；通过几何极限条件定义了织物紧度，为进一步研究其力学性能奠定基础。     

Laplacian group sparse modeling of human actions

Recently, many local-feature based methods have been proposed for feature learning to obtain a better high-level representation of human behavior. Most of the previous research ignores the structural information existing among local features in the same video sequences, while it is an important clue to distinguish ambiguous actions. To address this issue, we propose a Laplacian group sparse coding for human behavior representation. Unlike traditional methods such as sparse coding, our approach prefers to encode a group of relevant features simultaneously and meanwhile allow as less atoms as possible to participate in the approximation so that video-level sparsity is guaranteed. By incorporating Laplacian regularization the method is capable to ensure the similar approximation of closely related local features and the structural information is successfully preserved. Thus, a compact but discriminative human behavior representation is achieved. Besides, the objective of our model is solved with a closed-form solution, which reduces the computational cost significantly. Promising results on several popular benchmark datasets prove the efficiency and effectiveness of our approach.     

化工搅拌器的参数优选

本文提出了确定化工用搅拌器搅拌时间的一种简单试验方法,并用正交表安排寻找最佳搅拌参数的试验和整理试验数据,得到了有实用价值的结果。     

γ-Al2O3载体制备中水洗脱氯工艺的连续化

通过正交实验，研究了γ-Al₂O₃载体制备中拟薄水铝石水洗的连续化。方差分析表明，第一阶段洗水的pH是影响脱氯效果的关键因素，初步得出水洗连续化的优化条件。与国内外传统的间歇式水洗相比，收率从80%提高到99.7%，所需洗水量仅为原来的1/3，而处理500 kg物料的生产周期也从10 h缩短到2～3 h。     

一种聚羧酸型高效减水剂的试验研究

采用溶液共聚合成了一种聚羧酸型高效减水剂,对合成中影响减水剂性能的各种因素进行了分析;运用正交实验法,得出了合成该减水剂最佳配方和工艺条件;并研究了该减水剂对水泥净浆性能和混凝土性能的影响。结果表明,该产品掺量少(1.2%)、分散性能好(减水率25.4%)、混凝土性能高(抗压强度比178%)、不含甲醛等有害物,是一种良好的混凝土减水剂。     

H.264/SVC mode decision based on mode correlation and desired mode list

Design of video encoders involves implementation of fast mode decision (FMD) algorithm to reduce computation complexity while maintaining the performance of the coding. Although H.264/scalable video coding (SVC) achieves high scalability and coding efficiency, it also has high complexity in implementing its exhaustive computation. In this paper, a novel algorithm is proposed to reduce the redundant candidate modes by making use of the correlation among layers. A desired mode list is created based on the probability to be the best mode for each block in base layer and a candidate mode selection in the enhancement layer by the correlations of modes among reference frame and current frame. Our algorithm is implemented in joint scalable video model (JSVM) 9.19.15 reference software and the performance is evaluated based on the average encoding time, peak signal to noise ration (PSNR) and bit rate. The experimental results show 41.89% improvement in encoding time with minimal loss of 0.02 dB in PSNR and 0.05% increase in bit rate.     

Pt/TiO_2光催化制氢的初步研究

对无氧条件下Pt/TiO_2光催化重整甲醇制氢的基本步骤进行简化,在同一体系中进行了光催化剂的合成和光催化制氢的两步反应。基于正交设计法对该复杂体系进行了分析,得到Pt载量、甲醇/水体积、灯距、前反应时间这4种影响因素的3个不同水平对放氢速率的影响。确定了最佳实验条件为Pt载量0.5％(mol)、甲醇/水体积比5:1、灯距12 cm、前反应时间3h。分析结果表明,Pt载量对放氢速率的影响最大。实验获得的最高放氢速率为5.84 ml·h~(-1)·g~(-1)。     

一种合成聚焦的便携式B型超声成像方法

传统合成聚焦超声成像方法在图像重建过程中处理数据量较大,致使其在便携式B型超声设备中应用受限。针对该问题,提出一种基于压缩感知理论和合成聚焦波束形成算法的便携式B型超声成像方法(SFCS)。该方法通过对接收到的射频回波信号进行随机采样得到欠采样的测量信号,将测量信号经过合成聚焦波束形成处理获得欠采样的射频信号线,基于压缩感知的信号重构算法,由欠采样的射频信号线高质量地恢复信号后供后续成像处理使用。仿真实验结果表明,SFCS可有效地解决合成聚焦超声成像过程中数据量大的问题,从而在保证较高成像质量的前提下满足便携式B型超声设备小型化、低成本的技术要求,具有工程应用价值。