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

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

Design Example: Alignment of a Road Line Using GIS

21
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...
21
PD Controller: Design01:26

PD Controller: Design

154
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
154

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

Trajectories and Bidirectional Associations between Loneliness and Non-suicidal Self-Injury among Chinese Adolescents.

Journal of youth and adolescence·2026
Same author

Transient distortions of the South Atlantic Anomaly radiation environments driven by electric fields.

Nature communications·2026
Same author

Immune responses and cross-protection elicited by parasitic versus free-living ciliate vaccines in koi carp (Cyprinus carpio).

Fish & shellfish immunology·2026
Same author

Nutritional Value and Food Safety Assessment of Single-Cell Protein Derived from <i>Ralstonia eutropha</i> for Food Applications.

Foods (Basel, Switzerland)·2026
Same author

A Polysaccharide-Based Iron-Curcumin Carbon Dot Hydrogel Dressing with Photothermal and Nanozyme Catalysis for Infected Wound Healing.

ACS applied materials & interfaces·2026
Same author

Transcriptomic Analysis of Fermented Chinese Chive Selectively Attenuating Deoxynivalenol-Induced Ovarian Toxicity in Mice.

Antioxidants (Basel, Switzerland)·2026

相关实验视频

Updated: May 15, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K

一种基于深度学习和多目标优化来划定交通低排放控制区的方法.

Shuqi Xue1,2, Hong Zou3, Qiang Feng4

  • 1Engineering Research Center of Road Transportation Decarbonization, Ministry of Education, Chang'an University, Xi'an, 710018, People's Republic of China.

Environmental monitoring and assessment
|April 8, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一种先进的深度学习模型来分析PM2.5污染,以优化交通低排放控制区 (TLEZ). 这些发现为创建有效的低,超低和零排放区提供了数据驱动的框架.

关键词:
环境管理环境管理人类健康 人类健康 人类健康控制污染的方法 控制污染的方法交通拥堵 交通拥堵交通污染 交通污染

更多相关视频

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

436
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.2K

相关实验视频

Last Updated: May 15, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

436
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.2K

科学领域:

  • 环境科学 环境科学
  • 城市规划 城市规划
  • 数据科学数据科学数据科学

背景情况:

  • 目前的交通低排放控制区 (TLEZ) 面临实施挑战.
  • 准确分析PM2.5度对于有效划分区域至关重要.
  • 现有的方法缺乏全面的时空分析和社会环境考虑.

研究的目的:

  • 开发一个复杂的模型来分析TLEZ内的PM2.5度.
  • 整合各种数据源,包括出租车车队的PM2.5数据,道路网络特征和时间序列数据.
  • 建立一个多目标优化框架,以确定最佳的TLEZ边界,考虑到环境和社会影响.

主要方法:

  • 利用出租车队的PM2.5数据与静态道路网络和动态时间序列功能相结合.
  • 采用了集结卷积神经网络 (CNN),长期短期记忆 (LSTM) 和注意力机制 (AM) 的深度学习模型进行时空分析.
  • 开发了一个多目标优化模型,用非主导排序遗传算法II (NSGA-II) 解决,以确定区域划分的帕雷托最佳解决方案.

主要成果:

  • 深度学习模型准确地捕获了复杂的空间和时间PM2.5分布模式.
  • 多目标优化确定了低排放区,超低排放区和零排放区的最佳边界.
  • 该框架提供了一个平衡的方法,考虑环境质量和居民福祉.

结论:

  • 本研究提出了一种新的数据驱动方法,用于使用先进的AI技术优化TLEZ.
  • 拟议的框架为决策者和城市规划者提供了可操作的见解,以设计更有效和公平的排放控制区.
  • 整合现实数据和复杂的建模可以提高城市污染管理策略的精度和响应性.