Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Field Application of Global Positioning System01:28

Field Application of Global Positioning System

286
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...
286
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

309
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
309
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

364
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...
364
Errors in Global Positioning System01:26

Errors in Global Positioning System

307
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,...
307
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

436
The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
436
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

226
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
226

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Exploring Spatial Distribution of Intrinsic Oxide Trap by Decoupling Channel Thickness Effects in Amorphous IGZO TFTs.

ACS applied materials & interfaces·2026
Same author

Metal-Induced Oxygen Diffusion-Aware Design of a-IGZO TFTs for Boosting Performance.

ACS applied materials & interfaces·2026
Same author

Causal Inference in the Presence of Missing Outcome and Treatment Variables: Triply Robust Estimator and Sensitivity Analysis.

Statistics in medicine·2026
Same author

Large language model-based screening of substances and their composition from safety data sheets for high-resolution chemical exposure assessment.

Journal of exposure science & environmental epidemiology·2026
Same author

Reconfigurable Adaptive Synapse and Logic Device by Ambipolar Ferroelectric Semiconductor.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

On the robustness of truncated negative binomial regression model: application to field epidemiology.

Journal of applied statistics·2026
Same journal

The combined impact of chemical and non-chemical stressors on adverse health outcomes: an overview of reviews from the epidemiological literature and experimental animal studies.

Journal of exposure science & environmental epidemiology·2026
Same journal

Diet and mycoestrogen exposure in a pregnancy cohort: the Jersey Babies pilot study.

Journal of exposure science & environmental epidemiology·2026
Same journal

Source apportionment of fine particulate matter (PM<sub>2.5</sub>) personal exposures: findings from the Household Air Pollution Intervention Network (HAPIN) study in rural Guatemala.

Journal of exposure science & environmental epidemiology·2026
Same journal

The impact of geomagnetic disturbances on mortality from respiratory tract infections in the USA, 2000-2019.

Journal of exposure science & environmental epidemiology·2026
Same journal

Metabolome-wide association study identifies metabolites associated with human exposure to perfluoroalkyl substances.

Journal of exposure science & environmental epidemiology·2026
Same journal

Contribution of non-dietary indoor exposure pathways to total phthalate intake of 324 children in Tianjin, China.

Journal of exposure science & environmental epidemiology·2026
查看所有相关文章

相关实验视频

Updated: Jan 9, 2026

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

2.9K

开发基于全球定位系统跟踪数据的个人暴露评估微环境分类模型.

Jiwoong Yu1, Hyunwoo Jeon2, Kiyoung Lee2,3

  • 1Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.

Journal of exposure science & environmental epidemiology
|December 10, 2025
PubMed
概括
此摘要是机器生成的。

通过使用全球定位系统 (GPS) 数据,提高了对空气污染的个人暴露的准确评估. 结合移动模式和GPS信号质量的机器学习模型提高了微环境分类,以更好地估计空气污染暴露.

关键词:
深度学习是一种深度学习.全球定位系统全球定位系统机器学习 机器学习微环境的分类方式个人暴露评估 个人暴露评估

更多相关视频

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.4K
An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

3.3K

相关实验视频

Last Updated: Jan 9, 2026

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

2.9K
Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.4K
An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

3.3K

科学领域:

  • 环境流行病学环境流行病学
  • 地理空间数据分析.
  • 机器学习应用 机器学习应用

背景情况:

  • 准确的个人对空气污染的暴露评估对于环境流行病学至关重要.
  • 传统方法依赖于时间活动日记,这可能是繁的.
  • 区分室内和室外污染物度是一个重大挑战.

研究的目的:

  • 开发和评估使用全球定位系统 (GPS) 追踪数据的微环境分类模型.
  • 提高个人对空气污染暴露评估的准确性.
  • 探索机器学习和深度学习对这项任务的有用性.

主要方法:

  • 利用了来自韩国空气污染物暴露 (KAPEX) 模型项目的数据.
  • 开发了用于二,三,四级微环境分类的分类模型.
  • 将个人移动模式和GPS信号质量纳入机器学习 (ML) 和深度学习 (DL) 模型.

主要成果:

  • 随机森林实现了高精度 (AUROC 0.963为两级,0.958为三级).
  • 提升在四级分类中表现最好 (AUROC 0.918).
  • 移动模式和GPS信号质量显著提高了分类准确性.

结论:

  • 将移动模式和GPS信号质量集成到ML模型中,可以大大提高微环境分类的准确性.
  • 这种方法为个人对空气污染暴露的评估提供了更强大的方法.
  • 机器学习模型,特别是随机森林和提升,表现出强的表现.