不同pH值和F-浓度人工唾液对钛/瓷结合的影响

研究了不同pH值和F-浓度人工唾液对钛/瓷结合性能的影响.将实验室制备的钛瓷粉分层烧结于钛片上,浸泡于37℃,pH2.7、pH7.0/F-100 μg·mL-1与pH2.7/F-100 μg·mL-1的人工唾液中,测量了浸泡7d和30d试件的三点弯曲结合强度,应用扫描电镜观察了瓷剥脱后钛表面的形貌,并进行了EDX分析.结果显示:pH2.7/F-100 μg·mL-1组试件的钛/瓷结合强度明显低于未浸泡组,其余各组与未浸泡组相比无显著差异.研究结果提示:酸性环境中,F-的存在可使钛/瓷结合强度降低,而酸性环境和低浓度的F-环境对钛/瓷结合强度则没有明显影响,口腔内有钛瓷修复体的患者应慎用含氟口腔产品.     

原位反应合成TiN／Al2O3复合材料

以Al和TiO2为初始原料，经高能球磨及热压烧结工艺，原位合成了TiN／Al2O3复合材料。利用DTA，XRD及SEM等方法结合热力学计算，研究了该粉体的高能球磨过程和球磨粉体在后续热处理中的物相形成及转化规律。同时研究了以高能球磨及热压烧结工艺所制备的复合材料的力学性能和显微结构。结果表明：在球磨过程中粉料吸附并溶解了N2气，在后续热处理中原位反应形成了Ti2AlN相，当温度升高到一定程度时分解形成TiN，这有助于材料的致密化并使其力学性能提高。球磨粉体在1300℃、30MPa、保温、保压60min热压烧结条件下，可得到性能优异的TiN/Al2O3复合材料，该材料的抗弯强度为850MPa，断裂韧性为5．7MPa·m^1/2。     

放电等离子体烧结原位制备SiC-TiC-Ti3SiC2复合材料

采用Ti,Si,C以及少量的Al,应用放电等离子体烧结设备,在1350℃烧结得到不含有TiC的SiC-Ti3SiC2复合材料,其中SiC理论体积含量为50%.材料表面气孔率为2.72%.材料的硬度为10.09 GPa,断裂韧性为5.66MPa·m1/2,硬度低的原因是由于材料不够致密.提高烧结温度到1450℃,XRD结果表明材料中有了TiC的存在,这说明提高烧结温度以后,Ti3SiC2发生了分解.但是材料表面气孔率为0.64%,材料的硬度达到了18.07 GPa,同时,材料的断裂韧性值达到了6.30 MPa·m1/2.实验表明,仅提高烧结温度100℃,使Ti3SiC2部分分解得到TiC,就能够提高材料的硬度和断裂韧性.     

基于光谱和时相特征的夏玉米遥感识别

精确提取作物种植面积一直是农业遥感关注的主要问题之一。综合运用低分辨率的时相变化特征和中分辨率的光谱特征,提出一种夏玉米识别方法。首先基于MODIS NDVI时间序列曲线,分析夏玉米在时相变化上的识别特征,构建识别模型。夏玉米纯像元利用识别模型识别,而耕地和非耕地类型的植被产生的混合像元,则基于像元分解办法获取耕地组分的NDVI时序特征,再利用识别模型判定,然后结合土地利用数据根据空间关系得到中分辨率结果;玉米与其他作物的混合像元则利用中分辨率尺度光谱差异加以区分。研究结果表明,在伊洛河流域主要农业区,识别精度达到90.33%,为作物类型识别提供了新的思路。     

基于主动学习的微博聚类分析

K Means聚类算法由于无法准确确定初始化聚类中心,容易造成 聚类结果准确率低下。对微博数据聚类时,可能会导致无法正确反映兴趣热点。本文 设计了基于主动学习的聚类算法,在确定初始聚类中心过程中应用Min Max主动学习策略, 使 得算法每次在很小数量的查询后都会提供数据点供用户进行初始中心点确认,并在K Means算 法中重新计算聚类中心时设置其权重值,从而减少迭代的数量,提高聚类结果的准确 率,并将这一算法运用于微博聚类分析,得出微博热门话题。     

Towards understanding the gamification upon users’ scores in a location-based social network

Online social platform, such as Wikipedia and Foursquare, has been increasingly exploded due to not only various useful services provided but also social gaming mechanisms that can keep users actively engaged. For example, users are awarded ”virtual goods” like badges and points when they contribute to the community in the network by voluntarily sharing ideas and other information. In this paper, we aim to examine the effectiveness of a social gamification mechanism, named user scores, designed in Foursquare which is one of most popular location-based social networks. A user’s score in Foursquare is an aggregate measure based on recent check-in activities of the user, which reflects a snapshot summary of the user’s temporal and spatial behaviors. Whenever a user checks in to a venue, a list of scores of the user’s friends are visible to the user via a ”leaderboard” which ranks these users’ scores in a descending order. Given a pair of friends who participate in a score competition in such a gimification mechanism, we identify if one user’s scores have significant influence on the other user’s scores by utilizing the Granger Causality Test. To understand what types of users and what types of friends tend to participate in the score competition (i.e., their check-ins are more likely driven by such a gamification mechanism), we extract users’ features (e.g. user’s degree) as well as the features of pairs of friends (e.g., number of common friends, score similarity and ranking difference) to examine whether these features have correlations with those pairs of users who are identified as being involved in the score game. The identified influence on user scores has the important implication on applications including friend and venue recommendations in location-based social networks.     

An efficient algorithm for the tensor product model transformation

The tensor-product (TP) model transformation was proposed recently as a numerical and automatically executable method which is capable of transforming linear parameter varying (LPV) state-space models into the higher order singular value decomposition (HOSVD) based canonical form of polytopic models. The crucial disadvantage of the TP model transformation is that its computational load explodes with the density of discretization and the dimensionality of the parameter vector of the parameter-varying state-space model. In this paper we propose a new algorithm that leads to considerable reduction of the computation in the TP model transformation. The main idea behind the modified algorithm is to minimize the number of discretized points to acquire as much information as possible. The modified TP model transformation can readily be executed on a regular computer efficiently and concisely, especially in higher dimensional cases when the original TP model transformation fails. The paper also presents numerical examples to show the effectiveness of the new algorithm.     

盖下坝水电站坝址区岩溶发育情况初步分析

盖下坝水电站工程为高山峡谷型电站,坝址区及附近岩石为碳酸盐岩,属中等坚硬易溶岩.岩溶发育是影响本工程库水外渗的重大工程地质问题之一.从施工开挖揭示的各种溶蚀现象中分析岩溶发育特征及其规律,为防渗设计提供依据.     

一种面向中小企业PDM系统的设计与实现

根据中小企业在信息化建设中对于产品数据管理的实际需求,针对某一具体行业设计了一个适合中小企业的产品数据管理系统。分析系统的开发平台和采用基于．Net框架下采用B／S模式的系统结构,阐述系统具有的图档管理、产品结构和配置管理、项目管理和安全管理等主要功能。应用结果表明,该系统能有效地提高企业对产品数据管理的效率。