Two-step anodization of maltilayer TiO2 nanotube and its photocatalytic activity under UV light

A double-layer TiO2 nanotube arrays were formed by two-step anodization of Ti foils in different electrolytes. First, Ti in 0.5 wt% HF was anodized to form thin nanotube layer. Afterwards a second anodization was conducted in a formamide based electrolyte, which allowed the second layer of nanotube growing directly underneath the first one. From FESEM investigation we found that the thickness of second layer corresponded to the anodization time, the increasing of which would lead to the excessive etching on the first layer. The first layer protected the lower one from fluoride corrosion during anodization process. The double layer TiO2 nanotube arrays showed no benefit to photodegradation effect in methyl orange degradation experiments.     

Effect of heat-treatment on crystalline phase and UV absorption of 60CeO2-40TiO2 thin films by magnetron sputtering

60CeO2-40TiO2 thin films were deposited on soda-lime silicate glass substrates by R.F. magnetron sputtering. The effects of heat-treatment on the UV-absorption of the thin films were studied on the 60CeO2-40TiO2 thin film with the largest UV cut-off wavelength. The sample films with CeO2:TiO2=60:40 were heated at 773 K, 873 K, 973 K for 30 min. These films are characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), and X-ray photoelectron spectroscopy and spectrometer (XPS). XRD analysis proves that the addition of TiO2 to CeO2 changed the crystalline state of CeO2. But the UV absorption effect of CeO2-TiO2 films with CeO2 crystallite phase is inferior to that of the amorphous phase CeO2-TiO2 films. XPS analysis also indicates that the amorphous phase CeO2-TiO2 films have the most Ce3+ content in these films. Amorphous phase and crystalline phase of the CeO2-TiO2 films have different effects on UV absorption of the thin films.     

美军新概念作战研究

作战理论是作战实践的理性升华,也是用兵之道,因而对作战起指导作用。无论何种作战理论,都涉及作战的方针、思想、原则、样式和方法等核心问题。伴随着新概念武器的出现与运用,伴随着经济、知识、文化、软件等软对抗的出现与运用,将对未来军事理论、作战方式、部队编成,甚至对军事问题的思维方式等产生一系列革命性的影响。关注由世界军事大国新概念武器发展而引发的作战问题,对军事理论研究具有重要意义。     

小麦阿拉伯木聚糖及其功能性质研究进展

小麦阿拉伯木聚糖主要存在于小麦细胞壁中,是小麦细胞壁的主要聚合物,其含量、结构以及理化性质对小麦品质、营养特性以及最终利用价值都有重要影响.综述了近年来关于小麦阿拉伯木聚糖结构、理化性质、提取及检测方法等相关研究,并对其功能性质进行了较为深入地介绍,对小麦阿拉伯木聚糖对馒头品质影响的研究潜力和方向进行了展望.     

路基非饱和土抗剪强度的吸力效应

从宏观的吸力控制型直剪试验和微观的土体颗粒结构2方面入手,对路基非饱和土抗剪强度的吸力效应进行了研究。在不同吸力和不同法向应力条件下完成4组剪切试验,并选取2种不同含水量的同类型土样进行结构扫描。研究结果表明,与粘性土不同的是,当粉质砂土含水量逐渐降低时,土体基质吸力对土体抗剪强度的贡献效果并不是一直增加的,而是存在一个峰值。这种现象主要是由于土体微观结构以及所含水分的存在形式所造成的。另外,土体所处的应力环境也会对土体强度的吸力贡献情况造成影响。     

一种用于隐写测评的图像纹理复杂度估计方法

在评估图像隐写算法安全性及隐写分析性能时,隐写嵌入率等参数是重要的评价指标,而图像纹理差异对评价的影响很容易被忽略。为此,基于图像高维统计模型,提出一种新的针对隐写应用的图像纹理复杂度度量方法,用于衡量图像间的纹理差异。根据纹理复杂度对图像进行分类,单独在每一类不同纹理复杂度的图像集上评估隐写分析的检测性能。实验结果表明,该方法能有效地评价隐写的安 全性。     

HLA桥接多联邦系统中时空一致性问题研究

针对HLA桥接多联邦系统,提出其时空一致性问题研究。将桥接转发的数据划分为3种数据类型,定义相应的实体类和交互类,给出3种处理方法,其中,延时补偿法解决实体属性更新时的延时,平移命中点法处理精确制导武器爆炸交互时的延时,回滚法面向非精确制导武器爆炸交互时的延时。实验结果表明,该方法可满足桥接多联邦系统中的时空一致性。     

脱胶工艺对不同段棉秆皮纤维性能的影响

定量测定棉秆皮各段成分含量,并采用化学二煮法脱胶方法对棉秆皮进行分段脱胶.以棉秆皮纤维细度、残胶率、断裂强度为指标,研究脱胶处理对提取的不同段棉秆皮纤维性能的影响.结果表明,在同一脱胶工艺条件下,不同段棉杆皮纤维的细度、残胶率、断裂强度有较大差异,棉秆皮应采用分段脱胶处理.合理的棉秆皮脱胶分段方案为：第一段根部,地表以下部分;第二段中段,地表以上长度25cm;第三段稍部,地表以上长度大于25cm.     

Analyzing influence of bicycles on traffic flow using microscopic simulation approach

Mixed traffic consisting of cars and bicycles is a typical pattern of urban traffic in China.To study the impact of bicycles on traffic performance,a microscopic simulating model based on the principle of cautious driving and collision free was proposed.The interaction between cars and bicycles were described by lateral friction and overlapping driving.The dynamical features of speed and time-headway were investigated by numerical simulations.The results show that bicycles have a significant impact on travel speed and time-headway.The effect of bicycles can cause different results in the free flow phase and congestion phase respectively.The results also indicate the necessity to mitigate the interaction between motorized vehicles and non-motorized vehicles.     

Novel algorithm for pose-invariant face recognition

By combining the AdaBoost modular locality preserving projection(AMLPP) algorithm and the locally linear regression(LLR) algorithm,a novel pose-invariant algorithm is proposed to realize high-accuracy face recognition under different poses.In the training stage of this algorithm,the AMLPP is employed to select the crucial frontal blocks and construct effective strong classifier.According to the selected frontal blocks and the corresponding non-frontal blocks,LLR is then applied to learn the linear mappings which will be used to convert the non-frontal blocks to visual frontal blocks.During the testing of the learned linear mappings,when a non-frontal face image is inputted,the non-frontal blocks corresponding to the selected frontal blocks are extracted and converted to the visual frontal blocks.The generated virtual frontal blocks are finally fed into the strong classifier constructed by AMLPP to realize accurate and efficient face recognition.Our algorithm is experimentally compared with other pose-invariant face recognition algorithms based on the Bosphorus database.The results show a significant improvement with our proposed algorithm.