晨光机床掌控国际炭素装备话语权

中国历来是高精密制造设备进口国,晨光公司高档数控炭素装备生产线的高调出口,堪称我国企业界创新发展的典范。近日,地处苏中大平原扬子江畔的泰兴市晨光高新技术开发有限公司门前披红挂绿,彩旗飘扬,鞭炮齐鸣,戒     

Research on image segmentation of Miao costume patterns based on the RSKP-UNet model北大核心CSCD

The Miao nationality is the sixth largest ethnic group in China which has a history of thousands of years. It has created a unique material culture and spiritual culture in its development process and the Miao costume is a highly condensed collection of the material and spiritual culture of the Miao nationality. As one of the unique symbols of Miao culture the Miao costume has profound cultural heritage and cultural connotations. The patterns of the Miao costume are particularly eye-catching as they not only symbolize the wisdom of the Miao people in thousands of years of production and life but also symbolize the pursuit of the good spirit of the Miao people. However under the impact of modern pop culture and foreign culture these cultural symbols are gradually disappearing. In order to protect and inherit them the Miao costume pattern segmentation has become the most important work. However the Miao costume pattern segmentation is quite difficult. At present there are few studies on the extraction classification identification and preservation of the features of Miao costume pattern segmentation. With the excellent segmentation performance of the U-Net model and the advantages of easy deployment the paper improves the basic structure of the U-Net model and proposes a Miao costume pattern segmentation algorithm based on the RSKP-UNet Residual Selective-Kernel Parallel U-Net model. The algorithm adds Residual modules in the encoder part of the U-Net model to improve the feature extraction capability of the model and embeds the SKNet modules and ParNet modules in the decoder part to enhance the feature expression capability of the model. The paper uses evaluation metrics to measure the segmentation performance of the model and compares it with four segmentation models based on deep learning. The paper not only combines the current research focus-deep learning and attention mechanism but also introduces the Lovász-hinge loss function to effectively solve the problem of class imbalance in the Miao costume patterns. The RSKP-UNet model is better than other models in various segmentation indicators. Compared with the benchmark model U-Net the Dice coefficient IoU precision recall and accuracy are improved by 6. 98% 11. 07% 2. 89% 6. 75% and 3. 92% . The segmentation algorithm proposed in this paper realizes the extraction of the element content of the Miao costume patterns through image segmentation of Miao costume patterns which can be used to build the Miao costume pattern database in this way thus helping designers relevant researchers and organizations to provide research foundation and completing the protection and inheritance of the Miao costume culture. The paper also provides some reference for the segmentation research of other minority costume patterns. © 2022 Authors. All rights reserved.     

一种数控玻璃切割机运动控制系统的设计

介绍了国内外运动控制系统的研究现状,以及数控玻璃切割机的机械结构和工作原理,针对数控玻璃切割机结构特点和控制功能需求,设计了一套以4轴运动控制器为核心,配合伺服电机组成数控玻璃切割机运动控制系统,并详细介绍了该运动控制系统的各部分组成。同时还设计了相应的人机交互界面,配合硬件系统使用,可以同时实现Y、Z两轴同步运动,Y、Z两轴和X轴平面插补,C轴跟随切割轨迹自动旋转,从而完成玻璃轮廓轨迹的切割加工,并提高生产加工效率。     

环氧豆油丙稀酸酯齐聚物的合成研究

介绍了环境豆油丙烯酸酯齐聚物的合成步骤，讨论了反应温度、反应时间、催化剂的种类和含量、阻聚剂的含量对齐聚物合成反应的影响。通过试验确定了最佳合成条件，并用红外光谱对齐聚物的结构进行了表征。     

3-氨基喹啉与常用基体在MALDI-TOFMS测定天然提取植物多糖的比较

采用3-氨基喹啉(3-AQ)、二元基体3-AQ/2,5-二羟基苯甲酸(DHB)及常用于糖类物质测定的DHB和二元基体DHB/1-羟基异喹啉(1-HIQ)对一天然提取植物糖样进行了基体辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)分析。实验结果表明:此植物糖样由线形和环形聚己糖组成,其最大分子量至少达3000 Da;3-AQ与常用基体DHB及DHB/HIQ相比较,能提供更准确、更全面的样品组成及分子结构信息,且具有优越于常用基体解吸电离环状糖分子的能力。     

常州轻工职业技术学院周丽华设计作品选 新中式家具设计

正设计说明:当浑厚的木质与青花邂逅,它们原本各自绽放的美丽被紧紧缠绕,散发出无尽的飘逸与韵味。本组新中式家具设计以青花为切入点,结合多元化的材质,将明式家具的一些设计元素提炼成符号,融入现代设计理念,诠释对新中式家具的理解。     

用MAD-3螯合树脂分离大量钴中微量铜

对于金川有色金属公司电解钴液中微量铜的试样,我们曾采用极谱法和原子吸收光度法直接测定,都末获得准确结果。采用三氯甲烷(或四氯化碳)-铜试剂(或双硫腙)萃取比色时,不能显示出正常的颜色,且该法存在操作烦琐,有机溶剂污染环境等缺点。因此,寻求分离铜的简便,有效方法无疑是一项很有意义的工作。     

分散剂对有色体系中颜料分散稳定性的影响

从测定环氧豆油丙烯酸酯和立素尔大红分散体系在贮存前后细度变化和相对沉降率入手，讨论了分散剂的种类、用量、添加方式和复合对分散体系稳定性的影响。通过实验确定了使体系稳定的最佳条件。     

基于概念层次树的例外挖掘方法研究

例外检测能够在诸如电子商务、信用卡欺骗及气象数据分析等领域中挖掘真正未预料到的知识,人们注意到,已有发现例外的方法只能处理数值型属性,同时不允许用户动态地改变参数。在此,文章基于“概念层次树”、“语义距离”及“语义贴近度”等概念,研究了SDB—例外及FCB—例外,并给出了挖掘这些例外的有效算法。     

基于滴定法原理研制的氰离子浓度在线分析仪

针对金浸出工艺对氰离子浓度测定的需求,研制了溶液中氰离子浓度在线分析仪。该仪器以硝酸银滴定法为基础,对HJ484—2009法进行了一定的改进,实现了对溶液中氰离子浓度的自动在线测定。介绍了在线分析仪的测定原理、硬件以及测量过程,考察了在线分析仪的各项性能。结果表明,氰离子浓度在线分析仪运行稳定、重复性好、精密度高,分析结果与现场手工分析基本一致,加标回收率在98.1%～102.0%,可满足现场氰离子浓度在线检测的需求。