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相关概念视频

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
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Trapezoidal Rule01:26

Trapezoidal Rule

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Estimating the distance traveled by a vehicle using its recorded velocity over time is a common problem in physics and engineering. When velocity data is available at discrete time intervals, rather than as a continuous function, numerical integration methods such as the trapezoidal rule are often employed to approximate the total displacement.The trapezoidal rule works by dividing the total time interval into several equal segments. Within each segment, the recorded velocities at the endpoints...
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Errors in Global Positioning System01:26

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Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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Schemas01:42

Schemas

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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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相关实验视频

Updated: Jan 18, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
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对智能手机远程算法的验证,用于对驾驶员的行程进行分类.

Jeffrey P Ebert1,2, Ruiying A Xiong1,2, Arjun Patel1,2

  • 1Perelman School of Medicine, University of Pennsylvania .

Transportation research interdisciplinary perspectives
|September 10, 2025
PubMed
概括
此摘要是机器生成的。

这项研究发现,智能手机的远程算法可以准确地区分驾驶员和非驾驶员的旅行. 该算法实现了高整体准确性,证明了其在基于使用的汽车保险应用中的潜力.

关键词:
驾驶员分类算法 驾驶员分类算法准确度 准确度 准确度 准确度 准确度驾驶员风险评分 驾驶员风险评分移动远程信息学应用程序自然主义的研究自然主义的研究.基于使用的保险.

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相关实验视频

Last Updated: Jan 18, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
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科学领域:

  • * 移动传感和远程信息技术
  • * 运输安全和保险技术

背景情况:

  • * 准确地将车辆的行程分类为驾驶员或非驾驶员对于远程信息应用至关重要,特别是在基于使用的汽车保险中.
  • *现有的远程算法依赖智能手机数据来推断驾驶行为,但它们的准确性需要持续评估.

研究的目的:

  • * 评估智能手机远程算法在将汽车旅行分类为驾驶员或非驾驶员时的准确性.
  • * 评估算法在各种旅行类型和用户环境中的性能.

主要方法:

  • * 一项为期4周的研究使用了"驾驶方式"研究远程应用程序,反映了主要汽车保险公司使用的算法.
  • * 参与者通过应用程序调查每周审查和自我报告错误分类的旅行.
  • *分析的重点是整体准确性,敏感性 (驾驶员行程分类) 和特异性 (非驾驶员行程分类).

主要成果:

  • * 在区分驾驶员和非驾驶员的行程方面,总体准确度高 (96.5%).
  • * 卓越的灵敏度 (97.5%) 正确识别驾驶员的旅行.
  • *对于非驾驶员的旅行,特异性略低但可接受 (91.2%) ,具有显著的变化.

结论:

  • *智能手机的远程算法在驾驶员与非驾驶员的行程分类方面表现出高准确度.
  • * 算法的性能在各种手机,车辆和驾驶条件中都是稳定的.
  • * 这项技术在远程信息学和汽车保险环境中对准确的数据收集有显著的前景.