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

Olfaction01:25

Olfaction

44.5K
The sense of smell is achieved through the activities of the olfactory system. It starts when an airborne odorant enters the nasal cavity and reaches olfactory epithelium (OE). The OE is protected by a thin layer of mucus, which also serves the purpose of dissolving more complex compounds into simpler chemical odorants. The size of the OE and the density of sensory neurons varies among species; in humans, the OE is only about 9-10 cm2.
The olfactory receptors are embedded in the cilia of the...
44.5K

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

Methane Emissions from Household Gas Stoves: Significance and Mitigation Potential.

Environmental science & technology·2026
Same author

Global observational coverage of onshore oil and gas methane sources with TROPOMI.

Scientific reports·2023
Same author

Development and validation of a route planning methodology for vehicle-based remote measurements of methane and other emissions from oil and gas wells and facilities.

Journal of the Air & Waste Management Association (1995)·2022
Same author

Author Correction: Weather constraints on global drone flyability.

Scientific reports·2021
Same author

Weather constraints on global drone flyability.

Scientific reports·2021

相关实验视频

Updated: Jul 24, 2025

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.3K

多种气味源定位算法的比较

Marshall Staples1,2, Chris Hugenholtz1, Alex Serrano-Ramirez2

  • 1Centre for Smart Emissions Sensing Technologies, Department of Geography, University of Calgary, Calgary, AB T2N 1N4, Canada.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
概括

与Dempster-Shafer理论相比,独立后部 (IP) 算法在流中多个气味源定位方面优越. IP可以最大限度地减少假阳性,准确地识别气味来源.

关键词:
气体来源的定位和定位移动机器人的嗅觉.远程气体传感器的使用

更多相关视频

Localization of Odorant Receptor Genes in Locust Antennae by RNA In Situ Hybridization
09:30

Localization of Odorant Receptor Genes in Locust Antennae by RNA In Situ Hybridization

Published on: July 13, 2017

8.1K
Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
09:00

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

14.7K

相关实验视频

Last Updated: Jul 24, 2025

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.3K
Localization of Odorant Receptor Genes in Locust Antennae by RNA In Situ Hybridization
09:30

Localization of Odorant Receptor Genes in Locust Antennae by RNA In Situ Hybridization

Published on: July 13, 2017

8.1K
Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
09:00

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

14.7K

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 人工智能的人工智能
  • 流体动力学 流体动力学

背景情况:

  • 自主多重气味源定位 (MOSL) 对于识别排放源至关重要.
  • 流的流体流向对精确的气味源检测提出了重大挑战.

研究的目的:

  • 评估和比较独立后部 (IP) 和Dempster-Shafer (DS) 理论算法对MOSL的性能.
  • 在不同的环境和搜索条件下了解这些算法的局限性和有效性.

主要方法:

  • 实施占用网格映射用于源概率评估.
  • 在不同的环境和气味搜索参数下测试了IP和DS算法.
  • 使用地球移动器的距离尺度量化本地化性能.

主要成果:

  • 知识产权算法通过减少虚假正源归因,显示出卓越的性能.
  • 实验室正确地确定了实际的气味来源位置.
  • DS理论算法在识别源时,错误地将排放归因于许多非源地点.

结论:

  • IP算法是一个更合适的方法,用于多个气味源定位在动荡的流体流环境.
  • 为了实际应用,需要进一步了解算法性能.