Crystalline and viscoelastic properties of branched polyethylenes synthesized using bidentate nickel (II) catalyst

In this work, five branched polyethylenes with different branching units were synthesized using bidentate nickel (II) catalyst containing -diimine ligands. For comparison, one linear polyethylene was also prepared using tridentate iron (II) catalyst containing -diimine ligand. The crystalline structure of the polyethylenes was investigated using X-ray diffraction (XRD) and polarized optical microscope. The crystalline properties were also measured by differential scanning calorimeter (DSC). Viscoelastic properties of the polyethylenes were investigated using rheometric dynamic analyzer. The DSC and XRD results showed that highly branched polyethylenes exhibit no melting points and no predominating crystalline forms, while the linear polyethylene exhibits clear orthorhombic (110) and (200) reflections on XRD pattern and a clear melting point at 118 °C. The viscoelastic properties of the branched polyethylenes were very complicated due to the combined effect of the molecular weight difference and the degree of chain branching as well as the branching structure.     

Controlled radical polymerization of p-(iodomethyl)styrene—a route to branched and star-like structures

p-(Iodomethyl)styrene was polymerized under the action of a radical initiator (AIBN). The polymerization proceeds with degenerative chain transfer and leads to well defined branched polymers with functional primary and secondary iodomethyl groups as revealed by NMR studies. The obtained polymer can be further used as macroinitiator for radical polymerization of styrene. This polymerization proceeds in controlled way to polystyrene star polymers with reactive groups at the end of their arms. The characterization of branched and star structures was performed by NMR and GPC with absolute molar mass detection (MALLS).     

Zeolite‐catalyzed isomerization of oleic acid to branched‐chain isomers

Branched‐chain (bc) saturated fatty acids (SFA) have potential as oleochemical intermediates since they have better oxidative stability than linear unsaturated fatty acids (UFA) and have better low‐temperature properties than linear SFA. Previous studies in converting UFA to bc‐FA using clay catalysts have resulted in only modest yields and conversions. Recent reports, however, have suggested that certain zeolites can be effective catalysts for converting UFA to bc‐FA in higher yields and conversions. In this work, we examined the scope and potential of the zeolite‐catalyzed synthesis of bc‐FA starting from readily available monounsaturated linear FA. Our results show that common UFA such as oleic acid can be converted to bc‐isomers using modified Ferrierite zeolite catalysts with high conversions (98%) and high selectivity (85%) and that the zeolite catalysts are reusable for at least three cycles. The positions of branching (methyl) on the FA chain were determined from the GC‐MS spectra of the picolinyl esters of the bc‐FA.     

基于带缓冲的双通道开关技术的网络隔离器设计

在对网络隔离技术进行分析的基础上,研究利用网络隔离技术来解决网络安全问题。目前的网络隔离产品大多是采用基于硬件的开关控制,受限于现有硬件技术条件,并且厂家要根据不同用户要求而开发生产针对特定应用的网闸,不能方便地同时支持多种应用。提出了一种改进的安全隔离网闸实现方案。重点是模块化和软件方式实现开关技术,采用独立的软件开关控制和模块化设计,解决了现有物理隔离网闸产品在硬件开关控制和所支持应用上的限制,这种采用软件实现开关功能的方式避免基于现有硬件技术的可用性和寿命时间的限制。     

计算机网络安全现状及对策

网络已成为获取各种信息的重要手段,人们在享受着网络带来快乐的同时,也面临着越来越严重和复杂的网络安全威胁和难以规避的风险。该文从网络安全定义入手,全面分析了影响网络安全的因素,从而提出计算机网络安全防范相关措施,以确保网络安全有效运行。     

Object detection based on a robust and accurate statistical multi-point-pair model

In this paper, we propose a robust and accurate background model, called grayscale arranging pairs (GAP). The model is based on the statistical reach feature (SRF), which is defined as a set of statistical pair-wise features. Using the GAP model, moving objects are successfully detected under a variety of complex environmental conditions. The main concept of the proposed method is the use of multiple point pairs that exhibit a stable statistical intensity relationship as a background model. The intensity difference between pixels of the pair is much more stable than the intensity of a single pixel, especially in varying environments. Our proposed method focuses more on the history of global spatial correlations between pixels than on the history of any given pixel or local spatial correlations. Furthermore, we clarify how to reduce the GAP modeling time and present experimental results comparing GAP with existing object detection methods, demonstrating that superior object detection with higher precision and recall rates is achieved by GAP.     

Investigation of fiber configurations of chafer cuticle by SEM, mechanical modeling and test of pullout forces

Insect cuticle as a natural biocomposite includes many favored microstructures which have been refined over centuries and endow the cuticle eminent mechanical properties. This paper first studies the microstructures of chafer cuticle through SEM observations. Several peculiar fiber configurations and fiber-ply arrangements such as branched fiber, acanth-fiber and helicoid plies are observed. These microstructures are useful for man-made fiber-reinforced composites to improve their mechanical properties. Then, a special configuration of the branched fiber found in chafer cuticle is in details analyzed through a mechanical model and experimental verification. The pullout force of fibers as an index is firstly studied through parameter study. The factors, which can improve the pullout forces, are identified. Finally, the maximal pullout force of the branched fiber is experimentally tested and compared with that of plain straight fiber. It is proved that the maximal pullout force of branched fibers is obviously greater than that of the plain straight fibers.     

火药用粘结剂研究进展过程分析

简要介绍已经实现批量生产和各国目前研究的几种代表性的粘结剂,通过分析比较其优缺点,提出了火药用粘结剂发展的趋势和研究中应注意的一些问题.     

基于改进卷积神经网络与支持向量机结合的面部表情识别算法

针对当前卷积神经网络（CNN）利用端层特征进行面部表情识别存在模型结构繁琐、训练参数过多、识别不够理想的问题,提出一种基于改进CNN与支持向量机（SVM）相结合的优化算法。首先,利用连续卷积的思想设计网络模型,以获取更多非线性激活;然后,采用自适应全局平均池化（GAP）层取代传统CNN中的全连接层,以减少网络参数量;最后,用SVM分类器代替传统Softmax函数实现表情识别,以提高模型泛化能力。实验结果表明,所提算法在Fer2013和CK+数据集上分别取得了73.4%和98.06%的识别准确率,与传统LeNet-5算法相比,在Fer2013数据集上提升了2.2个百分点,且该网络模型结构简单、参数量较少,具有良好的鲁棒性。     

基于双端口SRAM的网闸设计

物理隔离网闸是一种应用级的安全隔离系统,主要用来解决网络安全所带来的问题。基于双端口SRAM的物理网闸隔离系统采用双端口SRAM作为数据交换区,内外网处理单元通过设备驱动接口实现交换区数据的同步访问。该系统具备数据交换快,安全性能高等特点。