氮化硅粉料的漫反射傅里叶变换红外光谱研究

利用漫反傅里叶变换红外（DRIFT）光谱技术，研究了氮化硅粉示纯样品和KBr稀释后样品的漫反射光谱的差别，并利用氮化硅粉末纯样品的DRIFT谱图，研究了四种商业氮化硅粉料初始及锻烧后的表面特征，研究发现，与KBr稀释的样品相比，氮化硅粉末纯样品的漫反射红外光谱在1190cm^-1波数处出现了对应于颗粒表面Si-O振动的尖锐强峰。所研究的四种商业氮化硅原始料漫反射光普有很大的差异，煅烧处理后粉料表面的氨基基因和Si-H消失，Si-O和Si-OH的数量显著增加。     

氮化H_2-O_2合成薄栅氧抗辐照特性

对氮化 H2 - O2 合成薄栅氧抗辐照性能进行了研究 ,将 H2 - O2 合成和氮氧化栅两种技术结合起来 ,充分利用两者的优点制成三层结构的 Sandwich栅 ,对比常规氧化、H2 - O2 合成氧化和氮化 H2 - O2 合成氧化三种方式及不同退火条件 ,得出氮化 H2 - O2 合成氧化方法抗辐照性能最佳 ,采用硅化物工艺加快速热退火是未来抗辐照工艺发展的趋势 ;并对氮化 H2 - O2 合成栅的抗辐照机理进行了研究     

Electrospun V2O5 Nanostructures with Controllable Morphology as High‐Performance Cathode Materials for Lithium‐Ion Batteries

Porous V₂O₅ nanotubes, hierarchical V₂O₅ nanofibers, and single‐crystalline V₂O₅ nanobelts were controllably synthesized by using a simple electrospinning technique and subsequent annealing. The mechanism for the formation of these controllable structures was investigated. When tested as the cathode materials in lithium‐ion batteries (LIBs), the as‐formed V₂O₅ nanostructures exhibited a highly reversible capacity, excellent cycling performance, and good rate capacity. In particular, the porous V₂O₅ nanotubes provided short distances for Li⁺‐ion diffusion and large electrode–electrolyte contact areas for high Li⁺‐ion flux across the interface; Moreover, these nanotubes delivered a high power density of 40.2 kW kg^?1 whilst the energy density remained as high as 201 W h kg^?1, which, as one of the highest values measured on V₂O₅‐based cathode materials, could bridge the performance gap between batteries and supercapacitors. Moreover, to the best of our knowledge, this is the first preparation of single‐crystalline V₂O₅ nanobelts by using electrospinning techniques. Interestingly, the beneficial crystal orientation provided improved cycling stability for lithium intercalation. These results demonstrate that further improvement or optimization of electrochemical performance in transition‐metal‐oxide‐based electrode materials could be realized by the design of 1D nanostructures with unique morphologies.     

离散小波变换和Fast PCA与SVM在人脸识别技术中的应用

人脸识别技术因具有结果直观、隐蔽性好、操作简单的优越性,所以在刑事侦查、在门禁考勤、信息安全等领域具有广泛的应用前景。本文在特征提取阶段采用离散小波分解和改进的快速主成分分析法相结合的算法;在分类阶段,采用基于改进的二叉树算法的支持向量机进行分类。最后给出人脸识别系统的系统原型。通过在MATLAB 7.10.0（R2010a）软件上对ORL人脸库进行仿真训练测试,验证了本系统算法不仅在识别率上有所提高,而且相对于其它算法具有较快的识别速度。