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相关概念视频

Field Application of Global Positioning System01:28

Field Application of Global Positioning System

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The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
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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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Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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相关实验视频

Updated: Jan 16, 2026

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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基于物联网和雾计算的实时智能停车系统通过实践案例研究来评估.

Mohammed Alaa Ala'anzy1,2, Assyl Abilakim3, Raiymbek Zhanuzak4,5

  • 1School of Microelectronics and Data Science, Anhui University of Technology, Maanshan, 243002, China. m.alanzy@ieee.org.

Scientific reports
|September 29, 2025
PubMed
概括

一个新的智能停车系统使用雾计算来有效地管理城市地区的停车位. 该系统可减少交通拥堵,优化资源使用,为智慧城市提供可持续的解决方案.

关键词:
云计算是一种云计算.雾计算的计算方法物联网 (IoT) 的物联网 (IoT) 的物联网.停车位 停车位 停车位智慧城市是智慧城市.

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科学领域:

  • 计算机科学 计算机科学
  • 城市规划 城市规划
  • 环境科学 环境科学

背景情况:

  • 城市人口和私人车辆使用量正在增加,导致交通拥堵和停车困难.
  • 不高效的停车场搜索浪费时间,燃料和能量,影响城市的可持续性.
  • 智能停车系统对于高效的城市交通和城市可持续发展至关重要.

研究的目的:

  • 通过使用雾计算引入基于来源的智能停车系统.
  • 加强城市环境中的实时停车位管理和资源分配.
  • 改善城市流动性,减少交通对环境的影响.

主要方法:

  • 一个具有四层层次的层次性雾计算架构被设计为高效的数据处理和资源利用.
  • 集成了一个来源组件,为用户提供实时停车可用性洞察.
  • 使用iFogSim2工具包进行模拟,以评估系统性能与基于云的方法相比.

主要成果:

  • 基于雾的智能停车系统在端到端延迟,执行成本和能源消耗方面表现出比基于云的系统更好的性能.
  • 该系统有效地减少了网络使用量,并优化了停车位的利用率.
  • 在SDU大学公园进行的一项现实实例研究证实了该系统的有效性,特别是在高峰时段.

结论:

  • 与传统的基于云计算的方法相比,雾计算为智能停车系统提供了更高效,更快速的响应解决方案.
  • 拟议的系统通过减少拥堵和优化资源配置,有助于环保的城市交通.
  • 这种方法通过有效解决停车挑战,支持开发更智能,更可持续的城市环境.