Development of Zr/ZrO<Subscript>2</Subscript> high temperature and high pressure sensors for <Emphasis Type="Italic">in-situ</Emphasis> measuring chemical parameters of deep-sea water

In order to in situ measure chemical parameters of deep-sea water and hydrothermal fluids at midocean ridge(MOR), it is necessary to use high temperature and high pressure chemical sensors.Developing new sensors is essential to measure in-situ pH and other chemical parameters(dissolved H2, dissolved H2S) of deep-sea water and hydrothermal fluids in a wide temperature range(2℃―400℃) at MOR vents.The YSZ(Yttria Stabilized Zirconia, 9%Y2O3) ceramic-based(HgO/Hg) chemical sensors possess excellent electrochemic...     

Growth of Ag nanocrystals on multiwalled carbon nanotubes and Ag-carbon nanotube interaction

The experimental investigations on the interaction between Ag-nanocrystal particles (Ag-NCPs) and carbon nanotubes (CNTs) in Ag-nanocrystal particles/carbon nanotubes (Ag-NCPs/CNTs) hybrid structures were reported. The growth of Ag-NCPs on multiwalled carbon nanotubes (MWCNTs) was carried out by thermal evaporation deposition. High-resolution transmission electron microscopy and X-ray diffraction analyses revealed that Ag-NCPs had the crystal lattice feature of face-centered cube (fcc). The growth of Ag-NCPs on MWCNTs induced the cross-section deformation of MWCNT. The experimental results also showed that the synthesized Ag-NCPs/CNTs hybrid structure appeared as quasi-one dimensional nanowires containing the Ag-NCP/CNT hetero-junction. There was local cross-section deformation on MWCNTs at the interface of hetero-junction. These results involve the important topic about fundamental and practical studies for structure of MNCPs on CNTs and also find clues to further research of Ag nanocrystal growing on MWCNTs and related Ag-CNT interaction.     

纳米聚丙烯酸酯微乳液改性纳米CaCO3研究

分别采用聚丙烯酸酯乳液和纳米级聚丙烯酸酯微乳液对纳米CaCO3进行改性,通过红外光谱分析、热重分析和扫描电镜分析研究改性纳米CaCO3的结构和性能。结果表明,改性后的纳米CaCO3由亲水疏油性变为亲油疏水性,纳米级聚丙烯酸酯微乳液与纳米CaCO3粒子表面发生了化学反应,并包覆到纳米CaCO3粒子表面。     

水煤浆加压气化有关堵塞问题的探讨

通过对水煤浆加压气化装置中堵塞问题的原因分析 ,提出了具体的技术改造措施 ,并从操作方法上加以改进和调整     

清香木姜子的化学成分Ⅱ

利用硅胶柱层析分离及与标准品对照等方法从清香木姜子枝叶中分离得到4个化合物,1H NMR、13C NMR等技术及理化性质鉴定为:黄堇碱(1)、二十二酸(2)、二十六酸(3)、三十酸(4)。以上化合物均系首次从该植物中分离得到。     

从招工难看企业管理

招工难,难招工。这是今年不少制鞋企业的切身体会。各个工种的岗位亟待输血,福建晋江、成都武侯鞋都、福建石狮等地,不同程度存在缺工现象。由原来的大家到处找活干变为企业到处找工人来干活,劳务市场门庭若市的盛况不再,这种形势180度的大转变,直接导致了劳动密集的制鞋行业从未有过的人力资源紧缺的局面。     

Temperature effect on the permeation through poly(2-hydroxyethyl methacrylate) membrane

The temperature dependence of permeability through highly syndiotactic poly(2-hydroxyethyl methacrylate) [P(HEMA)] membrane is reported for highly polar organic solutes such as ureas, methyl substituted ureas and amides, and for NaCl and Na₂SO₄. The membranes used were equilibrated in distilled water at each temperature before measurements. From the linear correlationship between the excess heat capacities, ?C_p^o(excess) in aqueous solution at infinite dilution and the permeability parameter PM^1/3, it is found that the water structure perturbing capability of the polar organic solutes is a controlling factor in the permeation mechanism at relatively low temperature, where P(HEMA) membrane has higher water content and more structured water. In addition, it is found that the poor separation for urea of cellulose acetate membrane in the reverse osmosis practice is due to the higher water structure-breaking capability of urea.     

基于知识本体提纯的无人机故障数据采集仿真

无人机在飞行的过程中,采集的故障信号数据会随着飞行环境的随机性变化而改变,造成异常信号数据关联性降低.利用传统算法进行异常信号数据挖掘的过程中,建立的关联规则过于复杂,加入过多约束条件分析环境特征,导致挖掘过程耗时较长.为解决上述问题,提出基于知识本体提纯的无人机采集实时数据挖掘方法.针对无人机异常信号数据知识本体表示方法进行了详细阐述.利用贝叶斯概率方法计算当前状态信号属于某类别异常信号的最大概率,从而为异常信号的提纯提供了准确依据.针对相似度较高的两个异常信号进行提纯处理,在提纯过程中充分考虑到信号采集时间间隔和时延,从而保证了实时性要求.实验结果表明,利用改进算法进行无人机异常信号挖掘,能够提高异常信号挖掘的及时性和准确性.     

基本圆构建简单图形几何变换的研究

随着科学技术的进步,计算机广泛应用到各个领域和行业,二维基本图形是计算机图形学表示复杂图形的基础,利用高效率的二维图形变换方法尤为重要。基于二维图形的基本变换规则提出新方法,对基本图形的平移变换、比例变换、旋转变换等做出改进,主要论述简单二维基本图形的变换,例如三角形、矩形和圆形,尽可能统一到＂基本圆＂中进行处理和变换。     

基于孤立像素点去除的车牌ROI区域快速定位方法研究

车牌识别（LPR）作为当前较为广泛研究的热门课题之一,已经日趋成熟和完善,但传统车牌提取算法中仍然存在对单个像素点过分依赖、识别率不高等问题。提出一种基于孤立像素点去除的车牌感兴趣区域提取方法,在Sobel算子边缘检测算法的基础上,采用基于行列比例和周围相似度两种方法,对单像素点进行处理,有效去除影响感兴趣区域中的孤立点,突出车牌特征并提高识别精度。实验结果表明,该方法较传统方法识别速率平均提高约5%,识别精度平均提高约15%。