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相关概念视频

Simplified Synchronous Machine Model01:30

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The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
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In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
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Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
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An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
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Movement joints in buildings are essential design elements that accommodate inevitable motions caused by various factors such as temperature changes, moisture content variations, and structural deflections. These motions, if not considered in design and construction, can lead to unsightly or dangerous damage. Movement joints are incorporated in different forms to manage these stresses and allow materials to move without causing distress.
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开发一种机器学习模型来绘制新建筑 gentrification:一种混合方法的方法.

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  • 1Department of Civil, Environmental, and Architectural Engineering, Drexel University, Pennsylvania, Philadelphia, United States of America.

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此摘要是机器生成的。

这项研究使用人工智能 (AI) 和社区投入来识别费城的新建 gentrification. 机器学习模型准确地检测出反映当地 gentrification 线索的发展,改善城市趋势映射.

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科学领域:

  • 城市研究 城市研究
  • 地理信息系统 (GIS) 是指地理信息系统.
  • 人工智能 (AI) 是一种人工智能.

背景情况:

  • 新建的 gentrification 显著改变了美国的城市景观.
  • 现有的文献往往忽视了建筑环境的作用,导致了不准确的 gentrification 地图.
  • 机器学习 (ML),特别是计算机视觉,为分析城市街景变化提供了先进的功能.

研究的目的:

  • 根据社区定义的建筑线索,开发和验证一个ML模型来识别新建的 gentrification.
  • 将当地居民的见解与人工智能结合起来,以便对 gentrification 有细微的理解.
  • 为了提高 gentrification 趋势映射和预测的准确性.

主要方法:

  • 费城的社区焦点小组确定了新建筑 gentrification 的当地视觉指标.
  • 训练了一个ResNet-50深度学习模型来识别这些已识别的架构特征.
  • 用测试准确度和曲线下面面积 (AUC) 评分来评估模型性能.
  • 结果与使用内核密度估计 (KDE) 地图的市政许可数据进行了比较.

主要成果:

  • 微调的ResNet-50模型实现了84.0%的测试准确率和84.0%的AUC得分.
  • 该研究成功地将社区衍生数据与人工智能集成在一起,用于本地化 gentrification 识别.
  • 使用KDE地图的可视化突出显示了新版本开发的空间趋势.

结论:

  • 结合人工智能和社区投入的新型混合方法方法可以准确地识别本地特定的新建 gentrification.
  • 这种方法提高了城市发展和 gentrification 分析的精度.
  • 这些发现有助于更准确的城市规划和关于社区变化的政策制定.