WO3和V2O5薄膜电致变色器件特性研究

采用电子束和热蒸发分别制备了WO3和V2O5薄膜,研究了WO3薄膜的电化学、循环耐用性、电致变色特性,分析了V2O5薄膜的Li离子储存性能、Li离子的注入／退出可逆性以及离子注入对光学性能的影响,并讨论了WO3薄膜/Li离子电解质／V2O5薄膜构成的灵巧窗器件的电致变色特性．实验结果表明,这样构成的灵巧窗器件具有比较理想的光学调制性能．     

渗透蒸发膜的研制：聚丙烯酸与聚乙烯醇等共混及其缩醛化

以乙醇水溶液为分离对象，研究了聚丙烯酸（ＰＡＡ）与聚酰胺羧或聚乙烯醇（ＰＶＡ）共混膜的渗透蒸发分离性能，以及均相，非均相缩醛反应对ＰＶＡ膜分离因素α和渗透通量Ｊ的影响。实验发现，戊二醛交联ＰＶＡ膜的α提高 到４９．５（乙醇含水Ｃ１＝１０％，温度为５５℃）；增加非均相缩甲醛反应时间，ＰＶＡ／ＰＡＡ共混膜的α先下降而后趋于不变，同时Ｊ存在一最大值。     

白家海凸起—阜北斜坡八道湾组储层特征研究

利用岩石薄片、铸体薄片鉴定、X–衍射、扫描电镜和压汞等资料,对白家海凸起—阜北斜坡侏罗系八道湾组的储层特征进行了研究,分析了储层的成岩作用类型、成岩演化序列、成岩作用对孔隙结构的影响及孔隙演化史。研究结果表明：八道湾组储层以岩屑砂岩为主储集空间以粒内溶孔和粒间溶孔为主,孔隙度经历了多期的演化过程,由原始的高孔隙度演化为现今低孔隙度。     

铁尾矿加气混凝土在蒸压养护条件下反应机理

通过X射线衍射、扫描电镜、红外光谱、差热扫描热重分析等测试方法,研究了铁尾矿加气混凝土在蒸压养护条件下的反应机理。未蒸压坯体中主要水化产物为钙矾石、结晶度低的水化硅酸（CSH)凝胶和Ca(OH)2,铁尾矿中部分矿物X射线衍射峰降。经蒸压养护后,钙矾石的X射线衍射峰消失,托贝莫来石的X射线衍射峰增强,表明在髙温髙压和热碱激发下,铁尾矿中的矿物成分发生分解,活性组分SiO2和Al2O3结合Ca(OH)2发生反应,生成托贝莫来石。     

时间序列在路面平整度预测中的应用

为了解决国际平整度指数IRI预测模型准确性不高的问题,以京沪高速公路实测IRI数据为基础,对log istic回归、多元回归、时间序列这3种建模方法分别进行分析.并根据京沪高速公路平整度实测数据,建立了几个有不同数量滞后值的时间序列路面平整度预测模型,根据与实测值的比较,找出最优的时间序列路面平整度预测模型.分析结果表明:利用传统的log istic回归和多元回归方法难以建立准确预测路面平整度发展趋势的模型;时间序列方法具有较高的预测精度,且其易修正性是其他预测方法所不具备的.     

铁尾矿加气混凝土在蒸压养护条件下反应机理

通过X射线衍射、扫描电镜、红外光谱、差热扫描热重分析等测试方法,研究了铁尾矿加气混凝土在蒸压养护条件下的反应机理.未蒸压坯体中主要水化产物为钙矾石、结晶度低的水化硅酸(CSH)凝胶和Ca(OH)2,铁尾矿中部分矿物X射线衍射峰降低.经蒸压养护后,钙矾石的X射线衍射峰消失,托贝莫来石的X射线衍射峰增强,表明在高温高压和热碱激发下,铁尾矿中的矿物成分发生分解,活性组分SiO2和Al2O3结合Ca(OH)2发生反应,生成托贝莫来石。     

Time-Inconsistent Stochastic LQ Problem with Regime Switching

Journal of Systems Science and Complexity - This paper investigates a time-inconsistent stochastic linear-quadratic problem with regime switching that is characterized via a finite-state Markov...     

一种基于数独分组的拉丁超立方试验设计方法

为解决拉丁超立方设计在复杂因子的实验设计空间中存在优化时间长和因子水平组合爆炸的问题。提出一种基于数独分组的拉丁超立方设计方法。该方法对因子通过数独分组降维,在降维后的各个子空间中平移种子设计。将基于数独分组的拉丁超立方设计与另外两种常用的拉丁超立方设计方法在中高维度试验空间中进行对比,结果表明,基于数独分组的拉丁超立方设计有较优的空间填充性和最短的运行时间。     

Mining and Integrating Reliable Decision Rules for Imbalanced Cancer Gene Expression Data Sets

There have been many skewed cancer gene expression datasets in the post-genomic era. Extraction of differential expression genes or construction of decision rules using these skewed datasets by traditional algorithms will seriously underestimate the performance of the minority class, leading to inaccurate diagnosis in clinical trails. This paper presents a skewed gene selection algorithm that introduces a weighted metric into the gene selection procedure. The extracted genes are paired as decision rules to distinguish both classes, with these decision rules then integrated into an ensemble learning framework by majority voting to recognize test examples; thus avoiding tedious data normalization and classifier construction. The mining and integrating of a few reliable decision rules gave higher or at least comparable classification performance than many traditional class imbalance learning algorithms on four benchmark imbalanced cancer gene expression datasets.     

Effects of metal binder on the microstructure and mechanical properties of Al2O3-based micro-nanocomposite ceramic tool material

The Al2O3?(W,Ti)C composites with Ni and Mo additions varying from 0vol% to 12vol% were prepared via hot pressing sintering under 30 MPa. The microstructure was investigated via X-ray diffraction (XRD) and scanning electron microscopy (SEM) equipped with energy dispersive spectrometry (EDS). Mechanical properties such as flexural strength, fracture toughness, and Vickers hardness were also measured. Results show that the main phases A12O3 and (W,Ti)C were detected by XRD. Compound MoNi also existed in sintered nanocom-posites. The fracture modes of the nanocomposites were both intergranular and transgranular fractures. The plastic deformation of metal particles and crack bridging were the main toughening mechanisms. The maximum flexural strength and fracture toughness were obtained for 9vol% and 12vol% additions of Ni and Mo, respectively. The hardness of the composites reduced gradually with increasing content of metals Ni and Mo.