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相关概念视频

Flame Photometry: Overview01:02

Flame Photometry: Overview

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Flame photometry, also known as flame emission spectrometry, is a technique used for the qualitative and quantitative analysis of elements present in a sample using a flame as the source of excitation energy. The concept of flame photometry was realized in the early 1860s by Kirchhoff and Bunsen, who discovered that specific elements emit characteristic radiation when excited in flames. The first instrument developed for this purpose was used to measure sodium (Na) in plant ash using a Bunsen...
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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
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How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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相关实验视频

Updated: Sep 10, 2025

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
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在异质无人机网络中基于混合金和火焰优化算法的覆盖路径规划

K Karthik1, C Balasubramanian2, R Praveen3

  • 1Department of Electronics and Communication Engineering, P.S.R.R. College of Engineering, Sivakasi, Tamil Nadu, 626140, India. karthikkesavan@psrr.edu.in.

Scientific reports
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PubMed
概括

本研究介绍了无人机覆盖路径规划的混合优化算法. 这种新方法提高了效率,减少了任务完成和执行时间,从而覆盖了整个地区.

关键词:
覆盖路径的规划金的优化算法火焰优化算法兴趣地区无人驾驶飞行器 (UAV)

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相关实验视频

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科学领域:

  • 机器人技术
  • 人工智能
  • 运营研究

背景情况:

  • 无人驾驶飞行器 (UAV) 能够有效地调查目标地区, 覆盖路线规划 (CPP) 非常重要.
  • 优化不同能力的无人机飞行路径面临重大挑战.
  • 减少能源消耗和任务完成时间是基于无人机的覆盖任务的关键目标.

研究的目的:

  • 提出一种新的混合优化算法,用于使用异质无人机有效的覆盖路径规划 (CPP).
  • 提高无人机在指定的目标地区的效率和有效性.
  • 优化飞行路径以减少能源消耗和提高飞行性能.

主要方法:

  • 为CPP开发混合金和火焰优化算法 (HGJMFOA).
  • 整合线性编程模型,以确定单个无人机的最佳点对点飞行路径.
  • 使用HGJMFOA探索和利用可行的路径,以确定最短的路径并尽量减少飞行时间.

主要成果:

  • 通过HGJMFOA的方法,表现指标得到了显著的改善.
  • 将任务完成时间缩短了21.34%.
  • 减少了24.56%的偏差率和34.19%的执行时间.

结论:

  • 拟议的HGJMFOA战略有效地优化了异质无人机的覆盖路径规划.
  • 多样化无人机之间的合作实现了最佳覆盖范围,传感器范围的利用,以及卓越的飞行性能.
  • 模拟结果验证了算法在缩短时间和提高总体任务效率方面的有效性.