微波法合成复合氨基酸亚铁的工艺研究

以鸡羽毛为原料,正交实验法探讨了微波法制备复合氨基酸与亚铁螯合的最佳条件。结果表明,复合氨基酸微波水解优化条件为:固液比1∶5 g/mL,水解时间3 h,硫酸浓度3 mol/L,微波功率500 W,在该优化条件下,复合氨基酸转化率为63.6%;复合氨基酸亚铁微波合成优化条件为:复合氨基酸与铁的配位比2∶1,反应时间40 m in,微波功率400 W,在该优化条件下,复合氨基酸亚铁螯合率为83.4%。     

基于循环自相关的NC-OFDM信号参数的盲估计

在认知无线电(CR)环境中,频率资源不足的问题越来越严重,非连续正交频分复用（NC-OFDM）能够工作在非连续的频谱环境,针对NC-OFDM信号的参数估计重要问题,提出用循环自相关的方法。该方法首先分析循环平稳信号特点,然后根据NC-OFDM信号的循环自相关在循环频率α以及时延τ切面图具有离散谱线特征进行参数估计,最后对NC-OFDM信号的循环自相关进行数值仿真。仿真结果表明在低信噪比下,能有效估计NC-OFDM信号的参数及识别零前缀的正交频分复用信号（ZP-OFDM）,且实验证明关闭近90%的子载波数目,都能够实现NC-OFDM信号的参数的盲估计。     

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。     

An immune orthogonal learning particle swarm optimisation algorithm for routing recovery of wireless sensor networks with mobile sink

The growth of mobile handheld devices promotes sink mobility in an increasing number of wireless sensor networks (WSNs) applications. The movement of the sink may lead to the breakage of existing routes of WSNs, thus the routing recovery problem is a critical challenge. In order to maintain the available route from each source node to the sink, we propose an immune orthogonal learning particle swarm optimisation algorithm (IOLPSOA) to provide fast routing recovery from path failure due to the sink movement, and construct the efficient alternative path to repair the route. Due to its efficient bio-heuristic routing recovery mechanism in the algorithm, the orthogonal learning strategy can guide particles to fly on better directions by constructing a much promising and efficient exemplar, and the immune mechanism can maintain the diversity of the particles. We discuss the implementation of the IOLPSOA-based routing protocol and present the performance evaluation through several simulation experiments. The results demonstrate that the IOLPSOA-based protocol outperforms the other three protocols, which can efficiently repair the routing topology changed by the sink movement, reduce the communication overhead and prolong the lifetime of WSNs with mobile sink.     

ON GENERALIZED FRACTIONAL PROCESSES

Abstract. A class of stationary long-memory processes is proposed which is an extension of the fractional autoregressive moving-average (FARMA) model. The FARMA model is limited by the fact that it does not allow data with persistent cyclic (or seasonal) behavior to be considered. Our extension, which includes the FARMA model as a special case, makes use of the properties of the generating function of the Gegenbauer polynomials, and we refer to these models as Gegenbauer autoregressive moving-average (GARMA) models. While the FARMA model has a peak in the spectrum at f = 0, the GARMA process can model long-term periodic behavior for any frequency 0 f 0.5. Properties of the GARMA process are examined and techniques for generation of realizations, model identification and parameter estimation are proposed. The use of the GARMA model is illustrated through simulated examples as well as with classical sunspot data.     

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。