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关键词： CAD likelihood analysis   Coronary artery calcium   Coronary artery disease  

关键词： 智能纺织品   可穿戴交互   女性主义  

摘要： 本文围绕数字智能纺织品与可穿戴技术在戏剧及电影场景中的深度嵌入,梳理女性主义理论与性别表演论在当代视觉媒介中的新走向,探讨多感知服装系统如何凭借生理与环境数据,扩充女性角色的叙事维度。本文先厘清身体、技术与权力结构的交互逻辑,其后提出情绪反馈服饰、空间边界装置、触觉共振链路等可落地路径,进而构建剧作结构与硬件设计的协同框架。分析指出,感知阈值编排、多模态情境模型与身体地图策略,能够为女性主体带来更为立体的表达渠道,也为舞台影视创作提供可操作的工程范式。

关键词： Spinopelvic   Biplane videoradiography   Statistical shape modeling   Standing posture   Hip   Femoroacetabular impingement syndrome  

摘要： Spinopelvic morphology and alignment have been theorized to play a role in causing femoroacetabular impingement syndrome symptoms in individuals with cam morphology. However, prior studies have used hip morphological and alignment measurements that are interdependent, limiting understanding of form-function relationships.

关键词： 禁用偶氮染料   纺织品   差异分析  

摘要： 针对纺织品领域GB/T 17592—2024《纺织品禁用偶氮染料的测定》的现状,聚焦进出口纺织品禁用偶氮染料实施中标准方法的验证及应用实际,开展纺织品禁用偶氮染料的测定标准差异分析。对纺织品禁用偶氮染料测定的新旧标准进行详细分析比较,分析试剂、设备、耗材等领域技术变化要点,进一步加深对新标准的理解,为日常快速正确地运用新方法对进出口纺织品禁用偶氮染料进行检测提供技术指导。

关键词： 可视化教学   CAD   微课   教学资源建设  

摘要： 随着教育数字化的发展,为职业教育构建专业资源已变得至关重要,其有助于拓展优质资源的使用范围、推动教育教学创新与变革、提升职业教育的质量。文章通过构建基于可视化教学理念的计算机辅助设计(Computer Aided Design,CAD)微课资源,实现CAD操作技能的可视化呈现。微课资源的教学案例以“项目式”牵引,学习任务以“地图式”导航,技能点支持“字典式”检索,为个性化学习提供支撑。微课设计整合企业产品工程图,通过开展项目式学习、模拟职业情境、设计个性化学习路径等教学手段,将教学重心由知识传授转向能力培养,进而契合产业升级背景下对技术人才的需求。

关键词： 水利工程CAD课程   主动+互动”模式   教学改革  

摘要： 针对学生在学习水利工程CAD课程时所面临的实践参与度低、师生互动不佳等问题,提出了“主动+互动”模式,以进一步提升学生自主实践能力和协作交流水平。本文分析了水利工程CAD课程传统教学存在的问题,从教学理念、教学模块、教学手段3个方面提出了教学改革创新思路,并探讨了教学创新实践成果,以期为水利专业课程教学改革提供科学参考。

关键词： 计算机辅助设计   定制开发   电力工程   变形监测  

摘要： 针对电力工程变形监测中基于AutoCAD绘图存在的批量处理、跨文档复用与交互效率低等问题,本文基于Visual ***平台,运用C#语言集成NetDXF组件实现了专用CAD绘图工具的定制开发,研发了线段、矩形、正多边形、指北针等常用图元,支持参数化批量生成、交互式跨文档图形提取与迁移,在界面上集成网格辅助定位与实时坐标显示。工程应用结果表明,该工具简化了绘图流程,降低了对AutoCAD的直接依赖,提升了绘图效率。

关键词： Coronary artery disease   Myocardial infarction   Myocardial ischemia   Myocardial perfusion imaging   Photon-counting computed tomography   CAD   Coronary artery disease   CAD-RADS   Coronary Artery Disease–Reporting and Data System   CCTA   Coronary computed tomography angiography   CT   Computed tomography   FFR   Fractional-flow-reserve   MDE   Myocardial delayed enhancement   MPI   Myocardial perfusion imaging   MRI   Magnetic resonance imaging   PCCT   Photon-counting computed tomography  

摘要： Coronary computed tomography angiography (CCTA) is now widely recognized as an effective imaging method for ruling out coronary artery disease (CAD), primarily due to its excellent negative predictive value. According to guidelines, functional ass...

关键词： 负半径滚子机构   异向等距曲线   必失真/或失真取值域   运动保真解域  

摘要： 负半径滚子机构运动失真问题极易发生、非常突出。通过揭示凸轮理论轮廓、工作轮廓为异向等距曲线,获得了基于凸轮理论轮廓的运动保真新判据。以基圆半径和偏距构造二维坐标系,采取离散-遍历方法,发现必失真/或失真取值域,提出非滚子型/滚子型失真的新概念。讨论了行程、往程/返程运动角以及运动规律对必失真区域的影响。以滚子半径建立垂直数轴,分析了两类滚子半径取值分布特征。基于上述坐标系和数轴构建三维坐标系,获得了运动保真的解域和非解域,深入剖析了两类非解域内的“燕尾交叉Ⅰ型/Ⅱ型”两类凸轮轮廓形貌特征。运动保真解域直观阐释满足运动保真条件的凸轮基本参数取值域、机构最小尺寸解等。通过设计案例验证了所提出理论与方法的正确性和有效性。

关键词： Solid modeling   Predictive models   Transformers   Software   Computational modeling   Mathematical models   Three-dimensional displays   Large language models   Image edge detection   Geometry   CAD sketch   detection transformer   geometric primitive   hierarchical graph construction   intermediate outputs  

摘要： Computer-Aided Design (CAD) sketches, composed of geometric primitives and constraints, are fundamental to CAD models and play a critical role in industrial design and manufacturing. Leveraging artificial intelligence to convert hand-drawn sketches and rendered images into CAD sketches has the potential to streamline and accelerate the design process. Existing approaches predominantly focus on separately learning primitives and constraints, often employing two-stage methods or learnable tokens to model these elements independently. However, such methods fail to fully exploit the intrinsic relationships between primitives and constraints. In this paper, we propose LuBan, a lightweight, end-to-end model for CAD sketch generation that eliminates the need for separate constraint models or tokens. LuBan leverages the DEtection TRansformer (DETR) architecture for primitive modeling and distinguishes between parametric and non-parametric features. By deriving sub-primitive features from the intermediate outputs of the primitive model, LuBan facilitates constraint prediction, effectively capturing the inherent relationships between primitives and constraints. This enables the generation of CAD sketches as hierarchical graphs. Qualitative and quantitative experiments on both precise and hand-drawn renderings demonstrate that LuBan achieves state-of-the-art performance. Ablation studies further confirm its superiority over independently trained primitive models, validating its effectiveness. Additionally, LuBan embodies the principle of "what you draw is what you get," offering significant enhancements to the design process for designers.