融合视觉风格和标签约束的少数民族服装图像解析

目的 少数民族服装款式结构复杂,视觉风格各异。由于缺少民族服装语义标签、局部特征繁杂以及语义标签之间存在相互干扰等因素导致少数民族服装图像解析准确率和精度较低。因此,本文提出了一种融合视觉风格和标签约束的少数民族服装图像解析方法。方法 首先基于本文构建的包含55个少数民族的服装图像数据集,按照基本款式结构、着装区域、配饰和不同视觉风格自定义少数民族服装的通用语义标签和民族语义标签,同时设置4组标注对,共8个标注点;然后,结合自定义语义标签和带有标注对的训练图像,在深度完全卷积神经网络SegNet中加入视觉风格以融合局部特征和全局特征,并引入属性预测、风格预测和三元组损失函数对输入的待解析图像进行初步解析;最后,通过构建的标签约束网络进一步优化初步解析结果,避免标签相互干扰,得到优化后的最终解析结果。结果 在构建的少数民族服装图像数据集上进行验证,实验结果表明,标注对有效提升了局部特征的检测准确率,构建的视觉风格网络能够有效融合少数民族服装的全局特征和局部特征,标签约束网络解决了标签之间相互干扰的问题,在结合视觉风格网络和标签约束网络后,能够明显提升少数民族服装解析的平均精度,像素准确度达到了90.54%。结论 本文提出的融合视觉风格和标签约束的少数民族服装图像解析方法,能够提高少数民族服装图像解析的准确率和精度,对传承祖国文化、保护非物质文化遗产具有很好的意义。     

结合边缘轮廓和姿态特征的人体精确解析模型

针对着装场景中由于人体姿态、边缘轮廓、服装配饰的复杂性以及着装部位关节点被遮挡等因素导致人体解析精度较低的问题,提出一种结合边缘轮廓和姿态特征的人体精确解析模型.首先采用残差网络ResNet-101作为主干网络表征输入人体图像进行初步人体解析,得到粗解析特征;然后构建边缘轮廓模块,结合上采样后的全局和局部特征得到人体边缘轮廓;再基于着装姿态定义着装姿态损失函数,通过姿态估计模块提取人体姿态特征;最后联合粗解析特征、边缘轮廓和姿态特征,并定义结构损失和人体解析损失的组合函数输出精确的解析结果.在多个数据集上的实验结果表明,该模型的mIoU评测指标提高了1.96％,在人体的着装姿态和部位遮挡等方面获得了更准确的语义分割结果,能有效地提高着装人体解析的精度.     

一款基于运输机场飞行训练保障系统的分析与研究

飞行训练工作是为民航发展提供飞行人才,但在面对空域资源日趋紧张情况下,飞行训练工作压力日益增大,安全保障需要提高,以减轻管制和飞行指挥人员的工作负荷并有效提升工作效益.飞行训练保障系统研制的目的是针对运输机场和通用航空的特点,提出研制信息集成交换共享系统,保障航班和飞行训练安全.     

Research and Practice of Hybrid Teaching for Software Testing based on Interactive Learning

To address the problems of insufficient number of personalized exercises and cases and teachers' lack of grasp of students' weak knowledge points in the current software testing online courses, we study the strategy of establishing and updating intelligent exercise sets and case libraries and analyze the answers and dig out the weak points of knowledge through group intelligence reasoning and interactive machine learning methods. This will help teachers to make uniform and targeted explanations, reduce manual judgment, and achieve intelligent teaching quality reform, and implement the educational concepts of "keeping up with the times" and "teaching according to students' abilities".     

A necessary and sufficient stability criterion for networked predictive control systems

Stability of a networked predictive control system subject to network-induced delay and data dropout is investigated in this study. By modeling the closed-loop system as a switched system with an upper-triangular structure, a necessary and sufficient stability criterion is developed. From the criterion, it also can be seen that separation principle holds for networked predictive control systems. A numerical example is provided to confirm the validity and effectiveness of the obtained results.     

不同抗剪模型下高强混凝土剪力墙数值模拟分析

基于修正斜压场理论和扰动应力场模型分别对不同剪跨比的高强混凝土剪力墙拟静力试验进行数值模拟,得到相应的滞回曲线和骨架曲线。与试验数据对比,结果表明：较之于修正斜压场理论模型,基于扰动应力场模型计算的PΔ滞回曲线与试验PΔ滞回曲线吻合更好,得到的破坏形态及裂缝分布图与试验基本相同。充分说明了基于扰动应力场模型的有限元数值模型能够较好地模拟循环荷载作用下的高强混凝土剪力墙构件的滞回特性。     

Sustainability-guided life-cycle design and assessment for bio-based composite foams: Integrate flame retardancy/lightweight in usage and energy utilization after service

Sustainable development strategy has aroused a great interest in biomass resources as alternative raw materials. A kind of biomass-derived poly(butylene succinate) (PBS), has been developed as porous foams to reduce resource exhaustion and meet lightweight demands. For fire-safety in-service, graphene oxide (GO) was functionalized by 9,10-dihydro-9-oxa-10-phosphaphenanthrene-10-oxide (DOPO) to combine flame-retardant elements and heat-barrier function. Hence, a very low loading level of P-containing GO as only 5 wt% could reduce peak heat release rate (pHRR) and total heat release (THR) of PBS-based foams by 58.5% and 22.3%, respectively. Meanwhile, N-/P-doped mesoporous char with a specific surface area of 136 m²/g, which derived from combustion of flame-retardant foaming PBS, contributes to a potential of energy storage applications in the capacitor or the anode of Li-ion battery with long-term stability. Overall, the sustainability of bio-based polyester could integrate lightweight of foaming, and be extended to utilization after use via facile combustion inspired by flame-retardancy design.     

亚光清漆在车身上的应用和修补

随着大家对汽车外观表面的更多需求,亚光清漆也逐渐被使用。本文主要结合极星汽车厂的第一代跑车 -Polestar 1的亚光清漆应用经验,对亚光清漆的作用机理,工艺流程和常见问题进行分析,完成亚光清漆的顺利投产。相较于高光清漆的应用,亚光清漆对洁净度和修补手法要求更高。     

高性能脱硫脱白技术在水泥超低排放中的应用

介绍了高性能脱硫脱白技术的主要特点及其应用。本技术是高性能湿法脱硫技术和相变凝聚节水脱白技术的高效耦合。应用结果表明：脱硫塔出口SO2和粉尘含量分别达到22.8 mg/Nm3和6.6 mg/Nm3,远低于设计值,脱硫除尘效率分别为99.6%和78%;相变凝聚器出口粉尘含量3.15 mg/Nm3,协同除尘效率高达52.2%,回收冷凝水14.5 t/h,收水率78.4%。相变凝聚节水脱白技术实现了在水泥行业超低排放中的首台套应用,具有冷凝收水、协同除尘、有色烟羽控制等多重功效,对水泥行业超低排放改造具有重要的借鉴价值。     

热连轧冶金过程组织性能预报技术

本文简要介绍了热连轧冶金过程中组织性能预报技术的研究内容和研究方法以及该技术在工业生产中的应用和作用.