基于服务器端会话追踪的Web查询服务的研究

在探讨了Web查询服务的典型模型后,论文阐述了服务器端会话追踪机制的实现方式,设计了基于服务器端会话追踪的Web查询服务的典型解决方案。该设计方案可以较为安全地保存和维护客户的上下文信息,可靠地跟踪用户查询所处的状态,有效地实现有状态的Web查询服务。     

媒体同步关系的描述

由于多媒体信息系统中，需要集成各种数据类型，而这些数据类型又有着密切的时间关系，所以对于多媒体来说，同步问题是很重要的，而同步的基础是为同步关系建立一个独立于实现环境的抽象的表示模型，本文着重讨论几种描述媒体同步关系的模型。     

Carbon nanofibers: Synthesis, characterization, and electrochemical properties

Carbon nanofibers (CNFs) have been synthesized by co-catalyst deoxidization process by a reaction between C₂H₅OC₂H₅, Zn and Fe powder at 650 °C for 10 h. These nanofibers exhibit diameters of ∼80 nm and lengths ranging from several micrometers to tens of micrometers. X-ray diffraction, Raman spectroscopy, and high-resolution transmission electron microscopy indicate that as-prepared CNFs possess low graphitic crystallinity. The resultant CNFs as electrode shows capacity of ∼220 mAh/g and high reversibility with little hysteresis in the insertion/deintercalation reactions of lithium-ion. In addition, the possible growth of CNFs is discussed.     

锂离子电池固态聚合物电解质研究进展

电解质是制备高功率密度和高能量密度、长循环寿命的锂离子电池的重要材料之一,而聚合物电解质是实现全固态锂离子电池的关键技术.总结近几年来为提高聚合物电解质电导率所作研究的新进展,并提出了今后的研究方向.     

钯负载锰氧化物基双金属复合氧化物催化氧化羰基化合成碳酸二苯酯

采用共沉淀法分别制备锰掺杂钨、钒、铋3种双金属复合氧化物载体,以氯化钯为活性组分制备负载型催化剂,并用于苯酚氧化羰基化合成碳酸二苯酯（DPC）。通过气相色谱（GC）、X射线衍射（XRD）、氢气程序升温还原（H₂-TPR）、X射线光电子能谱（XPS）等表征手段,对催化剂结构和性能进行表征。结果表明:钨-锰载体随掺杂比例和焙烧温度升高,逐步形成四氧化三锰晶粒,同时钨渗入锰氧化物晶格中,在掺杂比（物质的量比）为1:1、焙烧温度为600 ℃条件下制备的催化剂性能最佳,DPC收率为5.20%;钒-锰载体在焙烧温度为400 ℃、掺杂比为1:5条件下形成二氧化锰晶相,催化剂性能明显提高,DPC收率为10.46%,而较高的焙烧温度会破坏晶型的完整;铋-锰载体在掺杂比为1:5、焙烧温度为400 ℃条件下制备的催化剂催化效果最好,DPC单程收率可达到13.13%。     

基于随机网络演算的网络服务质量分析

为了提高网络的服务质量,提出一种基于随机网络演算的网络服务质量分析方法。首先推导出有效的端到端积压和时延边界,使到达流通过的节点数量呈线性增长;然后引入有效带宽和有效容量以延长到达流和服务进程的随机信息保留时间,可以更有效地计算端到端随机性能值;最后采用数据进行仿真实验,测试该方法的性能。结果表明,相对与其他网络服务质量分析方法,随机网络演算方法提高了网络的服务质量。     

Preparation of porous poly(lactic acid)/Sio2 hybrid microspheres

With 3‐aminopropyltriethoxysilane (APTES) as coupling agent, poly(lactic acid) (PLA)/SiO₂ hybrid material was prepared to produce poly(lactic acid)/SiO₂ hybrid microspheres (PLAHs) with porous structure bythe oil‐in‐water, single‐emulsion solvent evaporation method. Field scanning electron microscopy results show that the PLAHs were porous microspheres about 20 μm in diameter. The holes in the PLAHs opened outside and were not complicated. A nitrogen adsorption–desorption experiment showed that the nitrogen adsorbed in the holes was easily desorbed, and the specific surface area of the PLAHs was calculated to be 6.87 m²/g according to the Brunauer–Emmett–Teller equation. Fourier transform infrared spectroscopy results show that PLA was amidated with APTES successfully and formed a kind of organic–inorganic hybrid material by hydrolysis and con‐condensation with tetraethoxysilane. Moreover, the molecular structure of the hybrid material was confirmed by X‐ray photoelectron spectroscopy. Differential scanning calorimetry results show that the melting point ofthe PLAHs was higher than that of PLA by about 11.2°C. These PLAHs may be used in the controlled release of drugs by the embedding of the drugs in the holes of the PLAHs, and the drug loading amount can be controlled by the size and number of holes in the PLAHs. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 102: 679–683, 2006     

无人机航拍图像中裸露地表的识别

电力输电线路下方或附近的无覆盖物的裸露地表,是引起输电线路事故的主要隐患之一;从无人机电力巡检航拍图像中识别裸露地表可以预防类似事故的发生;由于Mask RCNN识别无人机电力巡检航拍图像中裸露地表的精度较低,提出一种图像特征融合的方法,即人工提取HOG和LBP两种不同的图像特征,经过不同权重的融合共同表征图像中裸露地表区域的特征,再对SVM进行训练并用于识别;实验结果表明,采用该方法识别率可以达到80％以上,识别时间少于60 ms;HOG和LBP两种特征在进行融合时,当两种特征的数量级相当时,得到的识别率最高;可见,该方法在具有较高识别率的同时,具有比较好的实时性,适合于无人机机载平台对航拍图像的初筛,且训练时间较少,权重参数规模小,为无人机航拍图像中目标物的识别提供一种新思路.     

基于Linear Cohesion模型的含水堆积体滑坡过程数值模拟

水通常是堆积体滑坡发生的触发因素,采用数值方法模拟堆积体滑坡时加入水的液桥力有助于提高计算结果的合理性。为了研究含水堆积体滑坡过程的各项运动特性,提出采用Linear Cohesion接触模型模拟含水湿润状态下松散堆积体滑坡的运动过程,利用离散元程序EDEM 2017建立了含水堆积体滑坡水槽数值模型,计算堆积体从失稳-滑动-堆积整个运动过程。结果表明:能量密度k是Linear Cohesion模型模拟含水堆积体滑坡的关键参数;当k<5000 J/m^3时,随着能量密度值逐渐增大,堆积体滑动过程的流动性越来越小,最大平均速度值和最大动能越大,当k≥5000 J/m^3时,含水堆积体的各项滑动特征变化不明显;较小能量密度的湿颗粒堆积体在滑动过程中结构体易发生破坏,形成的颗粒群流动性更强,滑动距离更远,扩大了滑坡灾害的影响范围。相关研究成果对今后类似的含水堆积体滑坡灾害的预测和评估有一定参考价值。     

Pressure effects on shear deformation of borosilicate glasses

The shear behaviors of two multicomponent borosilicate glasses, Borofloat®33 (Boro33) and N-BK7® (N-BK7), under different pressures are investigated using molecular dynamics simulations. The addition of alkali ions lowers the yield stress and changes the pressure dependence of shear modulus. Shear-induced densification is observed in both glasses. It is found that the decreases of the oxygen-centered bond angle and the coordination number change of B are responsible for the density changes at low pressures, and the increase of 5-coordinated Si is the dominant mechanism for densification at high pressures. The average shear stresses experienced by Si and B decrease with pressure except that the flow stress of Si at the end of shear deformation in N-BK7. Moreover, the average shear stress of B is more sensitive to the applied pressures compared to Si, suggesting that B is able to relax mechanical stress more easily under pressurized-shear. By analyzing the nonaffine displacement of atoms, it is found that N-BK7 exhibits more localized plastic deformation compared to Boro33 at low pressures and the local rearrangements in both glasses become more homogeneous with increasing pressure. The mean squared nonaffine displacement curves show that alkali ions have the highest mobility induced by shear compared to the network formers and B is more mobile than Si for both glasses. We also observed that plastic deformation tends to take place around boron atoms for Boro33, whereas it occurs in the alkali-rich regions for N-BK7, indicating that these two glasses have different atomic-scale deformation mechanisms.