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

Neural Control of Respiration01:18

Neural Control of Respiration

4.5K
The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
4.5K
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

510
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
510

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

FireSmoke-FL: a privacy-preserving federated learning framework for real-time fire and smoke detection.

Scientific reports·2026
Same author

Sustainability assessment of underwater wireless communication networks using fuzzy-TOPSIS for marine environmental protection.

Marine pollution bulletin·2026
Same author

Study on Quality Markers for Hypoglycemic Effects of Moringa oleifera Leaves by the Integration of Network Pharmacology, Fingerprint, and Multi-Index Quantitative Analysis.

Biomedical chromatography : BMC·2026
Same author

Experimental evaluation of bond performance between substrate and overlay concrete using bonding agents and mechanical connectors.

Scientific reports·2026
Same author

Energy-optimized 6G communication framework with intelligent resource allocation for massive IoT networks.

Scientific reports·2026
Same author

LightTrack-ReID: A lightweight and occlusion-robust framework for multi-object tracking.

PloS one·2026
Same journal

Therapeutic potential of crude protein extracts from two Egyptian freshwater snails Lanistes carinatus and Bellamya unicolor.

Scientific reports·2026
Same journal

Microbial contamination of donor corneas and post-keratoplasty endophthalmitis: a comparison between Japanese and U.S. eye banks using cold storage.

Scientific reports·2026
Same journal

Prevalence and contributing factors of virological non-suppression among adult patients on first-line antiretroviral therapy in tertiary hospitals in Ethiopia.

Scientific reports·2026
Same journal

An in vitro comparison of color stability between alkasite and different restorative materials in various staining solutions.

Scientific reports·2026
Same journal

Toward accessible mRNA LNP formulation: systematic evaluation of mixing strategies and key parameters.

Scientific reports·2026
Same journal

A network analysis of personality traits, mentalizing, and psychological health in Chinese college students.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Jan 10, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

448

一个深度强化学习集成的空中RIS系统,用于增强战斗情报.

Mian Muhammad Kamal1, Syed Zain Ul Abideen2, Sajed Ahmad3

  • 1School of Electronics and Communication Engineering, Quanzhou University of Information Engineering, Quanzhou, 362000, China.

Scientific reports
|November 25, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了用于集成传感和通信系统 (ISAC) 的空中可重新配置智能表面 (A-RIS). 这种新的方法通过最小化干扰和适应战场条件来增强军事通信和目标识别.

关键词:
深度强化学习 (DRL) 是一种深度强化学习.综合传感和通信 (ISAC) 系统可重新配置的智能表面 (RIS)

更多相关视频

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

6.0K
Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
06:20

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

Published on: December 6, 2024

3.2K

相关实验视频

Last Updated: Jan 10, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

448
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

6.0K
Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
06:20

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

Published on: December 6, 2024

3.2K

科学领域:

  • 电气工程 电气工程
  • 计算机科学 计算机科学
  • 人工智能的人工智能

背景情况:

  • 军事行动需要强大的沟通和情势意识,特别是当视线受到阻碍时.
  • 综合传感和通信 (ISAC) 系统提供同时数据传输和目标检测,但在效率,可靠性和干扰方面面临挑战.
  • 优化ISAC系统的复杂环境,如混乱的战场仍然是一个重要的研究问题.

研究的目的:

  • 提出一种新的空中可重新配置智能表面 (A-RIS) 方法,用于增强综合传感和通信 (ISAC) 系统.
  • 在严格的SINR约束下,优化系统性能,包括传输光束成形,RIS相位转移和A-RIS路径.
  • 为了应对自我干扰和混乱的挑战,在军事通信和传感中产生了回声.

主要方法:

  • 开发了一个新的空中可重新配置智能表面 (A-RIS),集成到一个ISAC系统中,具有中央基站,目标传感和用户.
  • 采用深度增强学习 (DRL) 共同优化BS传输光束成形,RIS相位转移和A-RIS路径.
  • 在严格的信号与干扰加噪声比 (SINR) 约束下确保优化.

主要成果:

  • 在系统性能方面取得了显著的改进,包括尽量减少自我干扰和杂乱回声.
  • 在应对动态战场条件时,展示了自适应的RIS相位转移能力.
  • 与传统方法相比,在提高通信可靠性和目标识别方面表现出优异的性能.

结论:

  • 拟议的A-RIS方法显著提高了ISAC系统在具有挑战性的军事环境中的可靠性和性能.
  • 基于DRL的优化有效地管理干扰,并适应不断变化的条件,改善通信和传感.
  • 这种方法为克服当前军事通信和情境意识技术的局限性提供了一个有希望的解决方案.