基于电容传感器的纸张计数仪设计

为了实现纸张快速、无损精确计数,设计了一种基于电容传感器的纸张计数仪。计数仪以STM32F103单片机为控制器,利用两块铜片构成平行极板电容器,采用FDC2214芯片对微小电容响应信号进行检测。经过已知数量的纸张对系统标定后,即可完成未知数量纸张的精确检测。实验结果表明,当被测纸张数量在(1～120)张时,该系统测量精度高,稳定性较好,具有一定的实用价值,当测量纸张数过大时,系统准确度变差,为纸张快速、无损检测提供一种新的方法和技术支撑。     

智能三坐标视觉测量在线标定

利用三坐标测量机能够精准平移的优势,采取单摄像机进行双目视觉测量。实验分析采用张正友标定法,在MATLAB实验环境下对内外参数进行计算和标定,给出实验结果并分析实验误差来源。     

工程放样中GPS(RTK)的应用

本文介绍GPS-RTK的使用方法及操作步骤,并利用GPS-RTK在工程测量中进行曲线放样,对测量结果进行精度分析。通过对放样点的精度分析,得出GPS-RTK的测量精度可以达到工程放样精度要求的结论,以工程实例说明GPS-RTK具有工作效率高、定位精度高、全天候作业、数据处理能力强和操作简单易于使用等特点。     

纤维金属层板的拉伸性能研究

GLARE是一种先进的混杂层板材料,由高韧度薄铝合金层和高强度玻璃纤维/环氧树脂层交替铺设而成,具有独特的轻质、耐疲劳、耐冲击、高阻燃性和耐腐蚀属性.系统地对GLARE层板进行了静力拉伸测试,展示了铺层结构和铺层类型对其静力学性能的影响,并对混杂模型的适用性进行了验证.结果显示:采用混杂模型法预测GLARE层的轴向弹性模量具有较高的精度,但进行强度预测时对于部分类型的层板需要考虑纤维的桥接作用.     

PBNA： An Improved Probabilistic Biological Network Alignment Method

Biological network alignment is an important research topic in the field of bioinformatics. Nowadays almost every existing alignment method is designed to solve the deterministic biological network alignment problem.However, it is worth noting that interactions in biological networks, like many other processes in the biological realm,are probabilistic events. Therefore, more accurate and better results can be obtained if biological networks are characterized by probabilistic graphs. This probabilistic information, however, increases difficulties in analyzing networks and only few methods can handle the probabilistic information. Therefore, in this paper, an improved Probabilistic Biological Network Alignment（PBNA） is proposed. Based on Iso Rank, PBNA is able to use the probabilistic information. Furthermore, PBNA takes advantages of Contributor and Probability Generating Function（PGF） to improve the accuracy of node similarity value and reduce the computational complexity of random variables in similarity matrix. Experimental results on dataset of the Protein-Protein Interaction（PPI） networks provided by Todor demonstrate that PBNA can produce some alignment results that ignored by the deterministic methods, and produce more biologically meaningful alignment results than Iso Rank does in most of the cases based on the Gene Ontology Consistency（GOC） measure. Compared with Prob method, which is designed exactly to solve the probabilistic alignment problem, PBNA can obtain more biologically meaningful mappings in less time.     

拉格斯特-隆贝格重力仪在煤田勘探上的应用

根据煤田与围岩存在密度差,会引起重力异常的实际情况,本文采用重力法进行煤田勘探,首先分析了重力勘探的可行性,然后在介绍了拉格斯特重力仪工作原理和技术指标的基础上,使用拉格斯特重力仪进行了煤田勘探,研究了煤田重力勘测的工作过程以及对重力异常的校正。     

倾斜储油罐的变位识别与罐容表标定

本文使用分析的方法研究了倾斜储油罐的变位识别与罐容表标定问题,精确地给出了油位高度与储油量之间的关系式.