软件学院实训基地建设思考与实践

以河南大学软件学院为背景,从软件学院实训基地建设的指导思想、建设内容、主要模块和取得的成效等方面对软件学院实训基地的建设进行了分析和研究。     

基于氧化锆传感器的氧含量校正及接口电路设计

通过对氧含量测量的现实意义的探讨,以及目前应用较为广泛的氧化锆传感器相关原理的研究,介绍了一种对由氧化锆传感器测得的电压信号进行一系列数据处理,除去误差影响,计算出所需要的待测气体准确的氧体积含量步骤的方法,最后给出传感器与MCU接口电路的硬件设计。     

蜂王浆产品中10-羟基-2-癸烯酸的含量稳定性研究

10-羧基-2-癸烯酸(10-HDA)是蜂王浆特有的不饱和脂肪酸,在其质量标准中特别规定了其含量要求。采用纳米技术制备纳米脂质体可提高其稳定性,本文以包封率为评定指标,采用乙醇注入-超声法制备了10-HDA纳米脂质体,并用液相色谱测定其中的10-HDA含量,比较了五种蜂王浆产品中10-HDA的含量稳定性。结果发现,10-HDA纳米脂质体包封率可达98.3%,同时其含量最为稳定,而其它四种蜂王浆产品中10-HDA含量不稳定,随着时间的延长呈下降趋势。     

基于金属氧化物气体传感器的气味罗盘的实验分析研究

设计一种由TGS2620金属氧化物气体传感器构建的气味罗盘系统。研制了气味罗盘的信号采样系统及辅助电路。在点气源及平流环境下对该系统进行了360°静态气源定位实验,提取传感器阻值响应比为特征量,并论证了该特征量与罗盘偏转角度α的对应关系。实验表明气味罗盘对相差30°方向的气源据有较大的响应差,以响应比值为特征量进行分析能够排除同类型传感器个体差异对分析结果的影响。     

将硬件引入“面向对象程序设计”课程实验教学

针对“面向对象程序设计”课程实验内容的设置容易使学生产生学之无用的思想及学后不会用的问题,结合电子信息专业培养特色,压缩了传统的、基本的实验内容,增加了应用性强的实验项目,并将硬件引入实验教学。实践表明,改进后的实验教学模式效果良好。     

SAR图像斑点噪声整体变分偏微分方程滤波算法研究

SAR图像固有的斑点噪声严重影响了图像的判读和后续处理,因此抑制SAR图像斑点噪声显得尤其重要。一个良好的斑点噪声抑制算法应该在降低斑点噪声的同时,能很好地保持图像的细节特征,但现有的去噪算法没有一种能够完美地解决这个问题的。本文基于SAR图像斑点噪声滤波的重要性以及存在的问题,将整体变分偏微分方程用于去除斑点噪声。根据整体偏微分方程建立了去噪模型,并分析了模型的性能和参数选择的重要性。通过实验验证了该算法的有效性,并以峰值信噪比（PSNR）为评价准则,利用多项式拟合方法选择了最优参数。引入边缘保持指数(EPI),与其他滤波算法比较,本算法在去除噪声的同时较好地保持了边缘。     

多安全模式内容管理系统研究

内容管理系统是目前企业信息管理领域的研究热点。该文介绍了企业内容管理系统的意义和技术发展趋势,并分析了现在企业系统中存在的问题。针对中小企事业单位的需求,设计和实现了易特内容管理系统,尤其在安全性上的改进,保障了企业各类信息的安全可靠。其实现思路对于提高内容管理系统在企业的应用提供了很好的参考价值。     

Open source content contributors’ response to free-riding: The effect of personality and context

We address concerns about the sustainability of the open source content model by examining the effect of external appropriation, whereby the product of open source contributors’ efforts is monetized by a party that did not contribute to the project, on intended effort withdrawal (reduction in contribution level). We examine both the personality of contributors and their contextual motivations to contribute, using a scenario-based survey of Wikipedia contributors. The findings suggest that perceived justice of the open source license terms, and intrinsic motivations are both negatively related with effort withdrawal intentions. Moreover, we find that the effect of the fairness personality trait on effort withdrawal is stronger for individuals who are low in perceived justice and weaker for individuals high in justice. The findings of factors predicting effort withdrawal contribute to the open source literature, which tends to focus on contribution and motivations, but not on what impacts changes in individual contribution levels.     

Solid-state potentiometric SO2 sensor combining NASICON with V2O5-doped TiO2 electrode

A compact tubular sensor based on NASICON (sodium super ionic conductor) and V₂O₅-doped TiO₂ sensing electrode was designed for the detection of SO₂. In order to reduce the size of the sensor, a thick-film of NASICON was formed on the outer surface of a small Al₂O₃ tube; furthermore, a thin layer of V₂O₅-doped TiO₂ with nanometer size was attached on the NASICON as a sensing electrode. This paper investigated the influence of V₂O₅ doping and sintering temperature on the characteristics of the sensor. The sensor attached with 5 wt% V₂O₅-doped TiO₂ sintered at 600 °C exhibited excellent sensing properties to 1–50 ppm SO₂ in air at 200–400 °C. The EMF value of the sensor was almost proportional to the logarithm of SO₂ concentration and the sensitivity (slope) was −78 mV/decade at 300 °C. It was also seen that the sensor showed a good selectivity to SO₂ against NO, NO₂, CH₄, CO, NH₃ and CO₂. Moreover, the sensor had speedy response kinetics to SO₂ too, the 90% response time to 50 ppm SO₂ was 10 s, and the recovery time was 35 s. On the basis of XPS analysis for the SO₂-adsorbed sensing electrode, a sensing mechanism involving the mixed potential at the sensing electrode was proposed.     

Following non-stationary distributions by controlling the vector quantization accuracy of a growing neural gas network

In this paper, an original method extended from growing neural gas (GNG-T) [B. Fritzke, A growing neural gas network learns topologies, in: G. Tesauro, D.S. Touretzky, T.K. Leen (Eds.), Advances in Neural Information Processing Systems 7, MIT Press, Cambridge, MA, 1995, pp. 625–632] is presented. The method performs continuously vector quantization over a distribution that changes over time. It deals with both sudden changes and continuous ones, and is thus suited for the video tracking framework, where continuous tracking is required as well as fast adaptation to incoming and outgoing people. The central mechanism relies on the management of the quantization resolution, that copes with stopping condition problems of usual GNG inspired methods. Application to video tracking is presented.