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手腕骨自动识别是实现骨龄评定自动化的关键。以数字化仪采集数据为基础,研究了模式识别与模糊数学在手腕骨自动识别中的应用理论和方法。实验证明,模式识别的应用是成功的。 相似文献
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针对在高能等离子体X射线诊断中的Kirkpatrick-Baez (KB)高分辨显微控制较困难的问题,基于Denauit-Hartenbery (DH)原理,率先提出了双5自由度KB镜成像结构,分析了双机械手的各个连杆坐标系和位姿结构的运动学方程,从理论上分析双5自由度KB镜的像差.在此基础上搭建双5自由度KB镜光路系统,编制了KB镜控制流程,并获取了清晰的十字成像.实验结果表明,该方法设计的双5自由度机械手控制方法可以实现KB镜的精确控制,从而得到高精度分辨成像效果. 相似文献
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文章总结了梧州市常用的沉管灌注桩、钻孔灌注桩和人工挖孔桩在以花岗岩残积土为桩基持力层时施工中的特点及容易出现的问题 ,并提出相应的解决办法 相似文献
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Maurizio Gemelli Massimo D'Orazio Luigi Folco 《Geostandards and Geoanalytical Research》2015,39(1):55-69
We evaluate the performance of a hand‐held XRF (HHXRF) spectrometer for the bulk analysis of iron meteorites. Analytical precision and accuracy were tested on metal alloy certified reference materials and iron meteorites of known chemical composition. With minimal sample preparation (i.e., flat or roughly polished surfaces) HHXRF allowed the precise and accurate determination of most elements heavier than Mg, with concentrations > 0.01% m/m in metal alloy CRMs, and of major elements Fe and Ni and minor elements Co, P and S (generally ranging from 0.1 to 1% m/m) in iron meteorites. In addition, multiple HHXRF spot analyses could be used to determine the bulk chemical composition of iron meteorites, which are often characterised by sulfide and phosphide accessory minerals. In particular, it was possible to estimate the P and S bulk contents, which are of critical importance for the petrogenesis and evolution of Fe‐Ni‐rich liquids and iron meteorites. This study thus validates HHXRF as a valuable tool for use in meteoritics, allowing the rapid, non‐destructive (a) identification of the extraterrestrial origin of metallic objects (i.e., archaeological artefacts); (b) preliminary chemical classification of iron meteorites; (c) identification of mislabelled/unlabelled specimens in museums and private collections and (d) bulk analysis of iron meteorites. 相似文献
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文中利用数据手套和跟踪器获取手臂各关节运动数据,根据关节运动限制对所获取数据进行处理,建立了符合人体运动规律的虚拟手臂数学模型,实现了虚拟环境中与试验者的手臂同步运动、效果逼真的虚拟手臂模型. 相似文献
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A pseudo-random number generator which is easy to remember and uses the very simple sequences 321 and 123 can be readily implemented on any available hand calculator. The generator is given by the recursive relation: Ri=321 × Ri–1+123, and is initiated using any 5-digit number for Ri–1
and saving the rightmost 5 digits of Ri
for the next Ri–1;the two leftmost digits of Ri
then yield an acceptable random number between 00 and 99. Alternately, a much better generator is given which can be jotted down in a notebook or taped to the back of your calculator. 相似文献
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设计了一种容易实现的数字近景摄影测量系统,以测定缺乏纹理的手骨表面形状和两骨间的几何吻合度 相似文献