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

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

939
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
939

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

Characteristics of Splenic CD8αβ<sup>+</sup> γδT Cells in Plasmodium yoelii Infection.

Parasite immunology·2026
Same author

The LEF1-LAG3 axis regulates CD4<sup>+</sup> T cell function during Plasmodium yoelii NSM infection.

Parasites & vectors·2026
Same author

HIF-1α/HMOX1-Mediated Ferroptosis in Macrophages Exacerbates Malaria Progression.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology·2026
Same author

TGF-β regulated Tim-3 sustains macrophage phagocytic function and confers protection in Plasmodium yoelii NSM-infected mice.

Parasites & vectors·2026
Same author

NFATc1 regulates LAG3+CD8+ T cells in the spleen of mice infected with Plasmodium yoelii NSM.

PLoS neglected tropical diseases·2025
Same author

Identification of Static Loads in Wharf Mooring Cables Using the Influence Coefficient Method.

Sensors (Basel, Switzerland)·2025

相关实验视频

Updated: Jul 19, 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

基于神经网络的Wi-Fi指纹定位方法 室内定位

Hui Zhu1, Li Cheng1, Xuan Li1

  • 1College of Electrical Information, Wuhan Institute of Technology, Wuhan 430205, China.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个新的Wi-Fi室内定位模型,使用卷积神经网络和3D射线跟踪. 它大大减少了数据收集时间,并实现了高精度,解决了资源限制.

关键词:
3D 射线追踪 3D 光线追踪在室内定位Wi-Fi.卷积神经网络是一种卷积神经网络.无线电信号强度的强度是什么

更多相关视频

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.3K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.7K

相关实验视频

Last Updated: Jul 19, 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
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.3K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.7K

科学领域:

  • 计算机科学 计算机科学
  • 电气工程 电气工程
  • 信号处理 信号处理

背景情况:

  • 室内Wi-Fi定位对于基于位置的服务至关重要.
  • 传统的指纹采集方法需要大量的,耗时的数据收集.
  • 资源的局限性阻碍了准确的室内定位的广泛采用.

研究的目的:

  • 开发一种新的室内本地化模型,简化数据收集.
  • 为了提高Wi-Fi室内定位的准确性和效率.
  • 克服与传统方法相关的资源限制.

主要方法:

  • 使用指纹技术与卷积神经网络 (CNN) 相结合.
  • 采用3D射线追踪技术来模拟接收信号强度强度 (RSSI).
  • 在通过模拟生成的RSSI热图指纹数据集上训练CNN模型.

主要成果:

  • 拟议的模型大大减少了数据收集所涉及的时间和劳动力.
  • 在模拟的真实场景中达到高达99.09%的验证准确性.
  • 证明了该模型在克服资源限制方面的有效性.

结论:

  • 基于CNN的室内定位模型提供了一个高效和准确的解决方案.
  • 3D射线追踪模拟有效生成RSSI指纹数据集.
  • 这种方法提高了Wi-Fi室内定位的可行性和性能.