Selective hydrogenolysis of glycerol to propylene glycol on Cu–ZnO catalysts

Hydrogenolysis of biomass-derived glycerol is an alternative route to sustainable production of propylene glycol. Cu–ZnO catalysts were prepared by coprecipitation with a range of Cu/Zn atomic ratio (0.6–2.0) and examined in glycerol hydrogenolysis to propylene glycol at 453–513 K and 4.2 MPa H₂. These catalysts possess acid and hydrogenation sites required for bifunctional glycerol reaction pathways, most likely involving glycerol dehydration to acetol and glycidol intermediates on acidic ZnO surfaces, and their subsequent hydrogenation on Cu surfaces. Glycerol hydrogenolysis conversions and selectivities depend on Cu and ZnO particle sizes. Smaller ZnO and Cu domains led to higher conversions and propylene glycol selectivities, respectively. A high propylene glycol selectivity (83.6%), with a 94.3% combined selectivity to propylene glycol and ethylene glycol (also a valuable product) was achieved at 22.5% glycerol conversion at 473 K on Cu–ZnO (Cu/Zn = 1.0) with relatively small Cu particles. Reaction temperature effects showed that optimal temperatures (e.g. 493 K) are required for high propylene glycol selectivities, probably as a result of optimized adsorption and transformation of the reaction intermediates on the catalyst surfaces. These preliminary results provide guidance for the synthesis of more efficient Cu–ZnO catalysts and for the optimization of reaction parameters for selective glycerol hydrogenolysis to produce propylene glycol.     

多核DSP的以太网远程程序加载方法

为了解决工业远程控制设备的软件更新带来的成本和效率问题,在研究了以TMS320C6670为核心的DSP系统的结构和程序启动的基础上,提出了基于以太网的DSP程序远程加载方法。该方法主要基于BOOTP协议的广播和以太网UDP协议实现。实践表明,该加载技术灵活可靠,为远程控制系统的调试和更新提供了便利。     

Containment control of multi‐agent systems by exploiting the control inputs of neighbors

This paper studies the containment control problem for multi‐agent systems consisting of multiple leaders and followers connected as a network. The objective is to design control protocols so that the leaders will converge to a certain desired formation while the followers converge to the convex hull of the leaders. A novel protocol is proposed by exploiting the control input information of neighbors. Both continuous‐time and discrete‐time systems are considered. For continuous‐time systems, it is proved that the protocol is robust to any constant delays of the neighbors' control inputs. For discrete‐time systems, a sufficient condition on the feedback gain for the containment control is given in terms of the time delay and graph information. Some numerical examples are given to demonstrate the results. Copyright © 2013 John Wiley & Sons, Ltd.     

The design and analysis of unequal error protection fountain coding for multiple source networks over binary erasure channels

A novel network model of multiple source fountain coding is developed and a novel class of generic multiple source fountain codes with unequal error protection(UEP)property is proposed.The And–Or tree analysis technique is generalized to analyze the asymptotic performance of the proposed codes and a joint optimization method employing both linear and nonlinear programs is developed to optimize the degree distributions.Furthermore,we propose three basic methods to achieve UEP property and the performance of each method is discussed.We employ these analytical results and optimization method to design and discuss several UEP codes with two and four sources for different application scenarios.Simulation results verify that the proposed codes can be applied to the networks with any number of sources and can provide strong UEP property in various ways based on the proposed three basic methods.     

Preparation and characterization of polyelectrolyte copolymers containing methyl methacrylate and 2-hydroxyethyl methacrylate. I. Polymers based on methacrylic acid

Acidic polyelectrolyte copolymers containing 2-hydroxyethyl methacrylate (HEMA), methyl methacrylate (MMA), and methacrylic acid (MAA) were prepared by free radical polymerization to high conversion in solution. Copolymer yields were obtained by gravimetry (all in the 30–50% range), relative molecular weights estimated by intrinsic viscosity measurements (all in the 50–70 cc/g range), tacticity by ¹³C nuclear magnetic resonance (NMR) spectroscopy (all polymers predominantly syndiotactic with some atactic content), and composition by acid/base titrations in conjunction with ¹H-NMR spectroscopy (all close to the monomer charge ratios). Acid strengths or apparent pKa's were examined as a function of extent of ionization. Measurements performed in water indicated that the compact/extended coil transformation in predominantly syndiotactic polymethacrylic acid occurs also in copolymers of similar tacticity containing moderate to high concentrations of MAA. The apparent pKa of such polymers containing only small amounts of MAA did not vary with extent of ionization, indicating a low degree of interaction between the acid groups. In copolymer pairs containing similar amounts of MAA but differing HEMA and MMA contents, the polymer containing more HEMA appeared the stronger acid, presumably due to a better solvation of that polymer which would increase the net spatial charge–charge separation and decrease cooperative effects that lead to suppressed ionization.     

一种求解命题公式骨干集的警示传播算法

警示传播WP算法是一类重要的信息传播算法,在命题公式的可满足性判定中非常有效。通过对WP算法的数学原理分析发现,当算法收敛时以高概率固定部分变元的赋值,可以对公式进行化简。基于这样的特征修改WP算法的迭代方程和变元赋值条件,设计了一种求解命题公式骨干集的信息传播算法。当变元数目超过400时,与经典骨干集求解算法对比,效率提高了40%,与目前常用算法对比也有10%的提高。结果表明,所提算法求解命题公式骨干集时非常有效。     

Java程序设计的信息化课程建设的实践与探讨

在网络信息发达的时代,信息化课程是大势所趋。提倡建设信息化教学平台,以Java程序设计课程为例,探索新型信息化教学平台,是现代教学实践探索的一个重要问题。本文在介绍Java程序设计的实践教学模式和信息化教学平台的基础上,与传统课堂教学的优势相结合,实现对教学资源的重构与学习空间的扩展,延伸高校信息化教学工作的改革思路,促进信息化技术与传统课程教学的融合。     

4G通信技术的FPGA远程更新系统设计

为了解决在恶劣环境、偏远地区等特殊场合的FPGA远程更新问题,提出了一种基于4G无线通信技术的FPGA远程更新系统设计方法。应用4G无线通信模块实现了更新控制器的通信组网,远程控制器通过4G网络与更新控制器建立通信连接,下发控制命令实现FPGA的远程更新。通过实际测试验证了新方法的可行性、正确性,有效弥补了传统更新方法布线复杂、效率低、距离短等不足,提高了设备维护效率、降低了维护成本,对工程应用具有重大意义。     

Augmented Online Sequential Quaternion Extreme Learning Machine

Neural Processing Letters - Online sequential extreme learning machine (OS-ELM) is one of the most popular real-time learning strategy for feedforward neural networks with single hidden layer due...     

fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review

Machine Intelligence Research - One of the most significant challenges in the neuroscience community is to understand how the human brain works. Recent progress in neuroimaging techniques have...