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

Gas Chromatography: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

338
In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...
338

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

Dual-Mode Gated Thermal Switch with Branched Interface for Self-Adaptive Thermoregulation.

ACS applied materials & interfaces·2026
Same author

Programmable Dielectrophoretic Assembly of Carbon Nanotube Arrays for Multidirectional Strain Sensor.

Small methods·2026
Same author

Study on rock energy and microscopic failure under different stress states.

Scientific reports·2026
Same author

From metabolic fingerprints to field solutions: engineering the apple rhizosphere microbiome via host-directed Bacillus recruitment for sustainable apple replant disease control.

Microbiome·2025
Same author

A robust deep learning approach for rock discontinuity identification from large scale 3D point clouds.

Scientific reports·2025
Same author

Experimental study of high-voltage pulse blasting-electrokinetic method for remediation of Cr, Cd and pyrene co-contaminated soil.

Journal of hazardous materials·2025
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jun 10, 2025

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.4K

一个基于物体检测算法的爆炸性运输车辆的驾驶警报系统.

Jinshan Sun1,2, Ronghuan Zheng3, Xuan Liu3

  • 1State Key Laboratory of Precision Blasting, Jianghan University, Wuhan 430056, China.

Sensors (Basel, Switzerland)
|October 16, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了使用物体检测的爆炸物运输车辆的新警报系统. 该系统有效地检测周围的车辆,并提醒司机防止危险情况,提高运输安全.

关键词:
YOLOv4 对象检测算法蜂自动机是一个自动机.爆炸物运输车辆使用爆炸物.智能识别识别是一种智能识别.

更多相关视频

Quantitative Detection of Trace Explosive Vapors by Programmed Temperature Desorption Gas Chromatography-Electron Capture Detector
07:57

Quantitative Detection of Trace Explosive Vapors by Programmed Temperature Desorption Gas Chromatography-Electron Capture Detector

Published on: July 25, 2014

19.9K
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.3K

相关实验视频

Last Updated: Jun 10, 2025

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.4K
Quantitative Detection of Trace Explosive Vapors by Programmed Temperature Desorption Gas Chromatography-Electron Capture Detector
07:57

Quantitative Detection of Trace Explosive Vapors by Programmed Temperature Desorption Gas Chromatography-Electron Capture Detector

Published on: July 25, 2014

19.9K
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.3K

科学领域:

  • 道路安全工程 道路安全工程
  • 交通运输中的人工智能
  • 危险物质管理 危险物质管理

背景情况:

  • 爆炸性运输车辆面临着周围交通造成的重大风险,包括异常接近和变更车道.
  • 碰撞和不足的避开机动可能导致灾难性的爆炸和火灾.
  • 现有的安全措施可能无法充分解决动态交通相互作用.

研究的目的:

  • 开发和验证爆炸物运输车辆的智能预警系统.
  • 增强驾驶员在运输过程中的决策和降低风险.
  • 提高运输危险材料的整体安全性.

主要方法:

  • 实施一个物体检测算法 (YOLOv4),用于实时监控周围的车辆.
  • 利用消费者级别的摄像头进行全面的车身监控.
  • 基于游戏理论的蜂自动机模型的开发,以模拟驾驶员行为和交通互动.

主要成果:

  • 开发的预警系统成功地识别和隔离了周围的车辆.
  • 模拟演示了系统在关键场景中发出及时警告的能力.
  • 警报系统有效地帮助驾驶员避免风险,确保安全驾驶.

结论:

  • 基于物体检测的预警系统有效地减轻了与爆炸物运输相关的风险.
  • 该系统增强了驾驶员在动态交通环境中的意识和决策能力.
  • 这项技术为危险物质运输的安全协议提供了重大进步.