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相关概念视频

Bus Impedance Matrix01:24

Bus Impedance Matrix

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Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
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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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Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
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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. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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从预测到预防:使用文本挖掘和可解释的机器学习进行城市公共汽车事故分析.

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  • 1Adam Smith Business School, University of Glasgow, Glasgow, UK.

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此摘要是机器生成的。

这项研究使用机器学习来分析城市公共汽车事故,识别滑板车碰撞和突然停止等关键风险因素. 这些发现为改善运输安全提供了可操作的见解.

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莎普利的添加式解释.公共汽车事故分析可以解释的机器学习话题建模主题建模

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科学领域:

  • 运输安全运输安全
  • 数据科学数据科学数据科学
  • 风险分析 风险分析

背景情况:

  • 城市公共汽车事故在人口密地区带来了重大的安全和运营挑战.
  • 事故数据往往包含非结构化的叙事信息,对于了解原因至关重要.
  • 现有的分析方法可能缺乏有效安全干预所需的解释性.

研究的目的:

  • 开发和验证机器学习框架,用于识别,量化和解释导致严重公共汽车事故的因素.
  • 通过整合非结构化文本数据,提高事故严重程度模型的预测准确性和可解释性.
  • 为利益相关者提供可操作的见解,以实施有针对性的安全措施.

主要方法:

  • 整合一个结构主题模型 (STM) 来从叙事数据中提取事故场景.
  • 使用极端梯度提升 (XGBoost) 分类器来预测事故严重程度.
  • 应用夏普利添加式解释 (SHAP) 用于模型预测的全球和本地解释.

主要成果:

  • 机器学习框架通过结合文本衍生事故模式,显著提高了预测准确性和可解释性.
  • 确定的主要风险因素包括与电动滑板车的后方碰撞,导致乘客受伤的突然停止,以及交通拥堵中左转的机动.
  • SHAP分析提供了明确的,可操作的洞察力,在整体和特定事件层面上对事故造成的原因.

结论:

  • 开发的分析框架有效地整合了结构化和非结构化数据,以进行可解释的运输风险建模.
  • 调查结果为司机,运输运营商和决策者提供了切实可行的指导,以减轻城市公共汽车事故风险.
  • 模块化方法为各种运输和安全领域的风险分析提供了可转移的基础.