第二部分工作则从前面合成得到的C3对称的三维骨架出发，通过动态共价化学的方法定量地合成得到了一系列刚性的纳米级荧光笼状结构。
In the second part, a readily modifiable structure with C3 symmetry was developed to quantitatively build a series of 3D shape-persistent fluorescent nanocages via dynamic covalent chemistry.
针对3维模型检索算法性能较低的问题，提出了一种基于整数中轴骨架的3维模型检索算法。
To improve the efficiency of 3d model retrieval, an algorithm for 3d model retrieval based on integer medial axis skeleton was proposed in this paper.
先通过预处理提取出血管并进行三维细化，再递归跟踪血管骨架生成特征树并进行遍历提取出血管的分支点和端点。
The vessel skeleton was recursively tracked to generate the feature tree and the tree was traversed consequently to pick up the branch points and end points.
网状聚氨酯泡沫是一种轻质、柔性材料，它由相互连接的经络构成了空间“骨架”结构，这种结构实际上是一种三维的防火屏蔽。
The material is a lightweight flexible foam composed of a skeletal matrix of tiny interconnecting strands which act as a three dimensional fire screen.
对滤波后的条纹图进一步采取二值化、骨架线提取、条纹级数标定、插值一系列操作，得到物体的三维相位信息。
After denoising, a series of operations, binarization, skeleton extraction, fringe order assignation and interpolation, were implemented and the three-dimension phase map was obtained.
将饱和土作为二相介质，考虑土骨架和孔隙流体之间的摩阻力，建立了饱和土中一维压缩波传播的二相动力分析控制微分方程，采用有限差分法求解。
In this paper, the saturated soil is dealt with as a two phase media. Thefric 'ion between the soil skeleton and porous liquid is considered.
论文还利用骨架这种柔性的目标表示，构建了基础的二维目标表示和识别框架。
Also, the basal representation and recognition framework of 2-d objects are built in virtue of the flexible representation of skeletons.
采用不共面的非线性定标模型和考虑运动不确定性的三维重建方法，能恢复逼真的三维人体骨架模型。
A non-coplanar nonlinear calibration model and a reconstruction approach taken uncertainty into consideration are applied to restore 3d human skeleton model.
方法：以空白丸芯、柠檬酸三乙酯、滑石粉、硬脂酸镁、胶体二氧化硅、聚维酮K30等为骨架材料制备吲达帕胺缓释胶囊；
Methods: Using eudragitrs 100, triethyl citrate, hydrated magnesium silicate, magnesium stearate, silicic acid anhydride, povidone K30 and etc as capsules preparation materials.
针对三维目标识别问题，提出了一种基于快速骨架提取的方法。
Aiming at the IR 3d target recognition question, a method based on fast skeleton extraction is proposed.
针对三维目标识别问题，提出了一种基于快速骨架提取的方法。
Aiming at the IR 3d target recognition question, a method based on fast skeleton extraction is proposed.
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