Solvent-free oxidation of benzyl alcohol with oxygen using zeolite-supported Au and Au–Pd catalysts

The oxidation of benzyl alcohol to benzaldehyde has been investigated in the absence of solvent using zeolite-supported Au and Au–Pd catalysts. Three zeolites were investigated, ZSM-5, zeolite β and zeolite Y, and these were contrasted with the titanoslicalite TS-1 and TiO₂ as supports. For the Au catalysts the best results are obtained with zeolite β as the support and the conversions were comparable or better than those observed with TiO₂ in terms of turn over frequencies. However, the selectivities observed with the acidic zeolites were lower than the non-acidic TS-1 and TiO₂. This is due to the subsequent reaction of benzaldehyde via acid catalysed reactions to give benzyl benzoate and its dibenzyl acetal, and, in some cases dibenzylether. Initial catalysts were evaluated with a gold loading of 2 wt% and increasing this to 4 wt% showed the expected increase in activity, indicating that there is scope to improve the performance of these catalysts. The most active catalysts were prepared by impregnation and catalysts prepared by deposition precipitation were considerably less active. Introduction of Pd into the catalyst improved the activity without significantly affecting the selectivity.     

纳米碳酸钙在涂料中的应用研究

探究纳米碳酸钙先在溶剂中分散再与树脂进行调配的方法。利用正交设计法对其中高速搅拌法进行优惠条件实验，发现搅拌时间并非越长越好，优惠条件下涂料中纳米碳酸钙分散到原始粒径，涂料质量有较大提高。     

Decentralized observers with consensus filters for distributed discrete-time linear systems

This paper presents a decentralized observer with a consensus filter for the state observation of discrete-time linear distributed systems. Each agent in the distributed system has an observer with a model of the plant that utilizes the set of locally available measurements, which may not make the full plant state detectable. This lack of detectability is overcome by utilizing a consensus filter that blends the state estimate of each agent with its neighbors’ estimates. It is proven that the state estimates of the proposed observer exponentially converge to the actual plant states under arbitrarily changing, but connected, communication and pseudo-connected sensing graph topologies. Except these connectivity properties, full knowledge of the sensing and communication graphs is not needed at the design time. As a byproduct, we obtained a result on the location of eigenvalues, i.e., the spectrum, of the Laplacian for a family of graphs with self-loops.     

VPN与负载均衡技术在黄委上游广域网中的应用

VPN(Virtual Private Network):虚拟专用网络,是一门网络新技术,为我们提供了一种通过公用网络安全地对企业内部专用网络进行远程访问的连接方式。负载均衡技术是建立在现有网络结构之上,它提供了一种廉价有效透明的方法扩展网络设备和服务器的带宽、增加吞吐量、加强网络数据处理能力、提高网络的灵活性和可用性。本文就是通过对这两种新技术概念的阐述,系统介绍了这两种新技术在黄委计算机网络中的应用。     

反相微乳液法制备高溶度ZrO2陶瓷墨水(Ⅰ)

尝试采用新颖的反相微乳液法制备陶瓷墨水，为了获得高溶度陶瓷墨水，对反相微乳液体系优选进行研究，着重就Triton x-100/醇／烷／水体系，采用目测法，分光光度法，电导率法和离心分离法，分别考察了不同醇，烷配伍时体系的稳定性和相关物理性质，根据这些性质是否突变以确定体系是否发生相变，给出了体系拟三元相图。实验表明，在20℃时Triton x-100／正己醇／环己烷／水反相微乳液体系表现优异，当Triton x-100与正醇的质量比为3：2时达到最大范围的反相微乳液区，最大溶水量时的最佳组成为Triton x-100:正己醇：环己烷：水＝19．1％：12．8％：23．7％：44．4％（质量比）。     

硼酚醛树脂在涂料中的应用

通过将硼酚醛树脂和环氧树脂进行混用,利用硼酚醛树脂优异的耐酸、碱腐蚀性能以及耐高温性能和环氧树脂可以常温固化成膜的特点,制备常温固化的耐高温防腐蚀涂料。     

改进的蚁群算法在溶质运移参数识别问题中的应用

非饱和土壤水分和溶质运移参数(扩散率、导水率和水动力弥散系数)取值范围较大,往往跨越几个数量级。采用传统离散化蚁群算法求解此类问题,所需节点较多,这会造成算法收敛时间较长。该文在传统蚁群算法基础上,对蚂蚁搜索路径进行改进,改进后的蚁群算法寻优路径由参数精度位数(整数位和小数位)、参数个数以及0–9十个数字构成,并将路径解码公式修改为具有判别参数正负功能的解码公式。采用改进的连续蚁群算法对非饱和溶质运移参数识别优化模型进行求解。数值模拟表明相同迭代次数下改进的蚁群算法比传统蚁群算法耗时少,算法计算时间与迭代次数满足线性关系,含水率和溶质浓度实测值与计算值吻合较好、相关性较高。     

Data-driven hair segmentation with isomorphic manifold inference

Hair segmentation is challenging due to the diverse appearance, irregular region boundary and the influence of complex background. To deal with this problem, we propose a novel data-driven method, named Isomorphic Manifold Inference (IMI). The IMI method assumes the coarse probability map and the binary segmentation map as a couple of isomorphic manifolds and tries to learn hair specific priors from manually labeled training images. For an input image, firstly, the method calculates a coarse probability map. Then it exploits regression techniques to obtain the relationship between the coarse probability map of the test image and those of training images. Finally, this relationship, i.e., a coefficient set, is transferred to the binary segmentation maps and a soft segmentation of the test image will be achieved by a linear combination of those binary maps. Further, we employ this soft segmentation as a shape cue and integrate it with color and texture cues into a unified segmentation framework. A better segmentation is achieved by the Graph Cuts optimization. Extensive experiments are conducted to validate effectiveness of the IMI method, compare contributions of different cues and investigate the generalization of IMI method. The results strongly encourage our method.     

通用循环水冷却器延时关闭控制联动电路设计

目前许多大型仪器的循环冷却水系统，都没有提供相应的自动化延时关闭装置，给工作带来不便。经过分析，将主机供电系统与循环冷却水供电系统进行关联，设计了联动电路，实现了正常关机，循环冷却水系统自动延时20min后关闭。既节约了工作时间，又提高了工作效率。     

Experimental design in soap manufacturing for optimization of fuzzified process capability index

In manufacturing industries, the quality of a product depends on the combined effect of multiple input variables working singly or together and therefore attention has been given on process capability indices to shift from single to multivariate domain. In case of multivariable domain the capability to incorporate uncertainties at the time of decision making becomes necessary. Fuzzy system is introduced to take care of this requirement. In this article the process parameters of soap manufacturing industries have been analyzed. The process capability is determined using Fuzzy Inference System rule editor based on a set of justified if then statements as applicable for the process. The data has been collected in linguistic form to derive its process capability, using a set of justified rules and the effect of each factor has been determined using Design of Experiments (DoE) and analysis of variance technique (ANOVA) for improving the soap quality from perspective of its softness. This article ventures to propose a new methodology by integrating Fuzzy with DoE providing better result followed by DoE and Fuzzy Inference system in isolation.