水下三维声呐扫测技术在超大型沉井中的应用

五峰山长江大桥北锚碇沉井基础长100.7m、宽72.1m、高56m,沉井平面尺寸大,下沉深度深,为目前世界规模最大沉井。沉井下沉施工为本工程的关键工序,也是施工风险最大的工序,本项目在不排水下沉过程中,首次引进水下三维声呐扫测技术,将水面以下的沉井井壁、刃脚状态通过软件显示在图像上,实现了沉井下沉过程可视化,为沉井顺利下沉提供了有力的技术保障,并为后续沉井及围堰施工提供良好的借鉴。     

基于数据挖掘的船舶平面分段智能调度模型设计

为了平衡船舶平面分段调度的决策速度与性能,克服调度优先规则与优化算法各自的弊端,开发智能调度原型软件,以配置7个工位的船舶平面分段流水线为例,经过调度知识模式和特征定义、灰狼算法求解、训练数据构建,构造决策树、神经网络、支持向量机三种机器学习模型,从中选取与研究问题最匹配的模型,实例计算对比模型的调度性能,验证了所提模型的有效性。     

中低速磁浮列车用新型空气弹簧的研制

介绍了中低速磁浮列车用新型空气弹簧的设计、有限元分析计算和试验情况。计算和试验结果表明,新型空气弹簧能够满足中低速磁浮列车的有关设计要求。     

Recognition of red cell and megakaryocyte based L-shaped envelope function

In order to explore the cell composition and its metabolism, it is important to let computer recognize the cells and get the counts of different cells for a sample. This paper proposes an L-shaped envelop function and the related fuzzy clustering method as a way to identify the megakaryocyte and the red cell from the sliced marrow image. This method is useful when the staining is insufficient and the color cannot be used as the identifying factor. This method uses the experimental histogram data to fit the L-shaped function and then use it as the envelop for the match test. The fuzzy c-means (FCM) performance index is used to test the adjacent area and get the minimum and finally secure the identification. The new method is not limited to megakaryocyte or red cell and can be used for general purposes of cell recognition. Tests show that this envelop function can ensure the recognition rate with different staining batches and can reach satisfied counting under similar illumination condition.