Effect of diamond-like carbon (DLC) on the properties of the NiTi alloys

NiTi alloy has found wide application in the biomedical field due to its unique shape memory effect, superelasticity and biocompatibility. However, the materials are vulnerable to surface corrosion and the most serious issue is out-diffusion of toxic Ni ions from the substrate into body tissues and fluids. In this paper, NiTi alloys were coated with diamond-like carbon (DLC) fabricated by plasma immersion ion implantation and deposition (PIIID) to improve their corrosion resistance and blood compatibility without sacrificing their shape memory effect and superelasticity. The structure of the films and the depth profiles between the films and substrate were studied using Raman spectroscopy and XPS, respectively. The phase transformation temperature, superelasticity, anticorrosion behavior and Ni ions release of the coated and uncoated sample were investigated by DSC, tensile tests, potentiodynamic polarization and AAS, respectively. The hemocompatibilty of the coated and uncoated samples was measured using clotting time and platelet adhesion. The results shows that the films is DLC accompanying with the formation of the mixing layer, and the DLC films can markedly improve the corrosion resistance and the hemocompatibility, obviously increase the ratio of albumin-to-fibrinogen and effectively block the Ni ions release of the NiTi alloys without sacrificing its superelasticity and changing its phase transformation temperature. The research results suggest DLC films prepared by PIIID could improve the in vivo performance of NiTi alloys implanted into the human body.     

一种改进的活性边表区域填充算法

为提高区域填充效率,对三种常见的区域填充算法进行了介绍和分析,并对其中优势较为明显的活性边表区域填充算法进行了进一步改进。改进算法针对原始算法的不足,充分利用多边形顶点信息,建立了活性边动态发现机制,使得算法时间效率和空间效率都得到提高;同时,为填充自相交多边形,又提出一种简单有效的基于扫描线的多边形自相交点探测方法,使得算法的适用性得到进一步增强。实验结果表明,算法的改进取得了很好的效果。     

最大熵和条件随机场模型相融合的藏文人名识别

藏文人名识别是藏文信息处理领域研究的难点之一,其识别效果直接影响到藏文自动分词的精度和相关应用系统的性能,包括藏汉翻译、藏文信息检索、文本分类等。该文在分析藏文人名构成规律和特点的基础上,提出了一种最大熵和条件随机场相融合的藏文人名识别方法。实验表明,该方法可以获取较好的识别效果,在我们的测试集上F-测度值到达了93.08%。     

基于相关性阈值的NSCT图像去噪方法研究

利用非下采样Contourlet变换(NSCT)平移不变性、多分辨率、多方向的优点,提出一种基于尺度相关与阈值去噪相结合的非下采样Contourlet变换图像去噪方法。首先对噪声图像进行非下采样Contourlet变换,得到各个尺度各个方向子带的系数,然后采用相关系数归一的方法,结合Bayesian自适应阈值来达到更好的去噪效果。仿真实验表明,该方法在提高去噪后图像的峰值信噪比的同时,有效保留了图像的纹理信息,避免伪吉布斯现象,改善了图像的视觉效果。     

基于粒子群算法的轨道电路补偿电容故障诊断方法

为了延长轨道电路传输距离,改善传输效果。本文提出一种机车信号感应电压幅值包络仿真模型,它是基于均匀传输线理论,通过补偿电容对机车信号感应电压幅值包络的影响规律,使用改进粒子群算法得到当前状态下补偿电容的最优值,进而对补偿电容的故障进行诊断。仿真结果表明,这种诊断方法是可行和有效的,能快速准确地定位故障补偿电容,替补偿电容的故障诊断提供了新的有效手段。     

新疆加甫沙尔苏地区中酸性小岩体型矿化蚀变遥感异常提取与找矿

中酸性小岩体的内部及附近的围岩中常形成与岩浆岩体有关的大型、超大型矿床,已成为找矿工作的一个重点方向。由于地质工作程度的限制,中酸性小岩体易被遗漏,严重制约了该类型矿化的发现。在新疆西准噶尔达尔布特断裂带下盘加甫沙尔苏地区找矿工作中,通过综合分析,提出了以遥感手段为主导的中酸性小岩体型矿化找矿模型:利用ASTER数据,通过图像增强处理、图像解译识别中酸性小岩体并提取蚀变遥感异常,结合地质、化探信息综合分析后确定重点检查区域。野外检查发现了加甫沙尔苏斑岩型钼矿化点,证实了该方法的有效性。该方法可以为西部地区中酸性小岩体型矿产资源勘查提供借鉴。     

Preparation and characterization of a PMMA/Ce(OH)3, Pr2O3/graphite nanosheet composite

An easy process for the synthesis of poly(methyl methacrylate)/Ce(OH)₃, Pr₂O₃/graphite nanosheet (PMMA/Ce(OH)₃, Pr₂O₃/NanoG) composite was developed. Graphite nanosheets (NanoG) were prepared by treating the expanded graphite with sonication in aqueous alcohol solution. The PMMA/Ce(OH)₃, Pr₂O₃/NanoG composites were prepared via in situ polymerization of MMA monomer in the presence of graphite nanosheets and Ce(OH)₃, Pr₂O₃ through reverse micelle template, in which the methyl methacrylate was designated as the oily phase. The composites were then dispersed with chloroform and coated on glass slides to form films. Scanning and transmission electron microscopy were used to characterize the structure and dispersion of the graphite nanosheets and the composites. The results showed that the high-aspect-ratio structure of the nanosheets played an important role in forming a conducting network in the PMMA matrix. From thermogravimetric analysis, the introduction of graphite nanosheets and inorganic nanopartices exhibited a beneficial effect on the thermal stability of PMMA.     

基于主题和链接分析的微博社区发现算法

针对传统社区发现方法大多基于链接或主题关系, 且没有考虑获取微博用户社会信息时的限制, 无法有效识别微博中多个社区的问题, 提出了一种综合基于主题和链接分析的微博社区发现算法来挖掘微博中多个社区。算法首先研究微博用户的链接及博文主题特性, 定义了链接相关度和主题相关度公式; 然后推出用户总相关度公式, 以此来计算节点间的传递概率, 用改进后的标签传递算法对用户分类; 最终划分出兴趣相似且社会联系紧密的用户群。真实数据集上的仿真实验验证了该方法的合理性和有效性。     

一种基于局部冲突分配的证据组合规则

Dempster-Shafer证据理论广泛应用于信息融合中, 但是在证据高冲突情况下基于经典D-S证据组合规则的融合结果存在问题。针对这一问题, 提出了一种基于局部冲突分配的证据组合规则。首先基于Jousselme证据距离获得各个证据体的信任度和加权平均证据, 然后由定义的焦元距求其每一个焦元的绝对距离, 并以此获得焦元信任度。最后实验结果表明, 所提算法提高了证据合成结果的可靠性和合理性。     

杂交粒子群算法在列车运行调整中的应用研究

针对列车运行调整存在约束条件多、求解难度大等问题, 结合城市轨道交通列车运行特点, 建立了优化的列车运行调整模型。在此基础上, 引入遗传算法中的杂交思想, 采用改进后的粒子群算法对此模型进行求解, 给出了求解算法的具体步骤, 并采用西安地铁2号线数据进行仿真验证。结果表明, 采用杂交粒子群算法解决列车运行调整问题是一种有效的方法, 并且其优化能力优于标准粒子群算法。