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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

34
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...
34
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

49
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
49
Manipulation and Analysis01:21

Manipulation and Analysis

26
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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相关实验视频

Updated: Jul 4, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

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任务分配和路径规划机制基于等级匹配程度和任务相似性在参与式人群感知中.

Xiaoxue He1, Yubo Wang2, Xu Zhao2

  • 1School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China.

Sensors (Basel, Switzerland)
|January 26, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了参与式人群感知 (PCS) 的多任务分配和路径规划问题 (MTAPP). 它提出了一种新的算法,通过匹配任务能力和考虑任务相似性来最大限度地提高用户实用性,提高效率和利.

关键词:
年级匹配度的学位.基于等级匹配度和相似性的机制 (GSBM).改进的群优化 (IACO) 算法多任务分配 (MTA) 是指多任务分配.参与式人群感知 (PCS)任务相似性 任务相似性

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相关实验视频

Last Updated: Jul 4, 2025

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科学领域:

  • 计算机科学 计算机科学
  • 移动计算 移动计算
  • 数据科学数据科学数据科学

背景情况:

  • 参与式人群传感 (PCS) 使用移动设备传感器进行数据收集.
  • 现有的PCS研究往往忽略了任务关联和用户能力匹配.
  • 不高效的任务分配导致数据质量差,资源浪费.

研究的目的:

  • 引入一个多任务分配和路径规划问题 (MTAPP),以优化PCS.
  • 最大化整体用户效用,定义为利与时间比.
  • 改进PCS中的任务分配和路径生成.

主要方法:

  • 开发了一个等级匹配度和基于相似性的机制 (GSBM).
  • 建立了一个数学模型来分析任务相似性对完成的影响.
  • 采用了改进的群优化 (IACO) 算法来实现效用最大化.

主要成果:

  • GSBM有效地将用户的能力与任务相匹配,增强收入决定能力.
  • 任务相似性对用户任务完成率产生积极影响.
  • 在关键性能指标上,IACO算法显著优于其他方法.

结论:

  • 拟议的MTAPP框架和GSBM机制提高了PCS的效率.
  • IACO算法为优化参与式人群传感提供了一个强大的解决方案.
  • 这种方法导致更好的任务覆盖,完成率,利和分配理性.