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相关概念视频

Potential Due to a Polarized Object01:29

Potential Due to a Polarized Object

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A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...
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Polymerization generates chiral centers along the entire backbone of a polymer chain. Accordingly, the stereochemistry of the substituent group has a significant effect on polymer properties. Polymers formed from monosubstituted alkene monomers feature chiral carbons at every alternate position in the polymer backbone. Relative to the predominant orientation of substituents at the adjacent chiral carbons, the polymer can exist in three different configurations: isotactic, syndiotactic, and...
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Polymers are classified as linear or branched on the basis of their chain architecture. The polymer chains in linear polymers have a long chain-like structure with minimal to no branching at all. Even if a polymer features large substituent groups on the monomer, which appear as branches to the skeleton, it is not considered a branched polymer. A branched polymer contains secondary polymer chains that arise from the main polymer chain. The branching occurs when the polymer growth shifts from...
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Polarimetry finds application in chemical kinetics to measure the concentration and reaction kinetics of optically active substances during a chemical reaction. Optically active substances have the capability of rotating the plane of polarization of linearly polarized light passing through them—a feature called optical rotation. Optical activity is attributed to the molecular structure of substances. Normal monochromatic light is unpolarized and possesses oscillations of the electrical...
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In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
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Updated: Sep 11, 2025

Layer Microdissection of Tricuspid Valve Leaflets for Biaxial Mechanical Characterization and Microstructural Quantification
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使用极度对称激光激光雷达 (LiDAR) 主动成像的像素材料分类.

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    此摘要是机器生成的。

    这项研究引入了一种新的LiDAR系统,用于使用穆勒矩阵测量进行材料识别. 该系统在分类材料方面达到高达84%的准确性,显示了先进场景特征的前景.

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    科学领域:

    • 光学和光子学 在光学和光子学.
    • 材料科学 材料科学 材料科学
    • 机器学习 机器学习

    背景情况:

    • 像LiDAR这样的活性成像系统为像素级分析提供了详细的电磁特性.
    • 穆勒矩阵测量为材料识别提供了丰富的信息.
    • 之前的工作证明了使用新型LiDAR系统准确估计材料穆勒矩阵.

    研究的目的:

    • 扩展LiDAR接收器处理以实现自主材料识别和场景表征.
    • 探索使用模拟的LiDAR数据与真实世界的穆勒矩阵测量对像素表面进行分类的数学技术.
    • 评估基于穆勒矩阵数据的材料分类机器学习算法的性能.

    主要方法:

    • 使用LiDAR系统测量每个像素的对角米勒矩阵.
    • 采用了时间变化的传输激光偏振和双通道偏振分析仪.
    • 开发了用于自主材料识别和场景表征的接收器处理.
    • 将实验室测量的穆勒矩阵数据集纳入用于分类评估的模拟中.
    • 执行模拟,包括波形生成,环境模拟,特征提取和分类.

    主要成果:

    • 在35个单独的材料类别中达到高达70%的分类准确度.
    • 在将材料分成五个超级类时,达到84%的分类准确度.
    • 展示了基于穆勒矩阵的LiDAR在材料识别方面的潜力.

    结论:

    • 拟议的LiDAR系统和处理技术显示出对自主材料识别和场景特征的承诺.
    • 准确性取决于假设一个对角的穆勒矩阵.
    • 将这种方法与其他分类方法相结合,可以进一步提高准确性.