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相关概念视频

Flame Photometry: Overview01:02

Flame Photometry: Overview

573
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...
573
Flame Photometry: Lab01:16

Flame Photometry: Lab

244
In a flame photometer, when a solution like potassium chloride is aspirated into the flame, the solvent evaporates, leaving behind dehydrated salt. This salt dissociates into free gaseous atoms in their ground state. Some of these atoms absorb energy from the flame, leading to their excitation. The excited atoms return to the ground state, emitting photons at characteristic wavelengths. Because only electronic transitions are involved, the resulting emission lines are very narrow. The intensity...
244
Gas Chromatography: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

368
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...
368
Atomic Fluorescence Spectroscopy01:29

Atomic Fluorescence Spectroscopy

291
Atomic fluorescence spectroscopy (AFS) is an analytical technique that involves the electronic transitions of atoms in a flame, furnace, or plasma being excited by electromagnetic (EM) radiation. When these atoms absorb energy, they become excited and subsequently release energy as they return to their original state. This emitted light, or "fluorescence," is observed at a right angle to the incident beam. Both absorption and emission processes transpire at distinct wavelengths, which...
291
Atomic Emission Spectroscopy: Interference01:30

Atomic Emission Spectroscopy: Interference

183
In atomic emission spectroscopy (AES), high-temperature atomizers excite a broad range of elements and molecules that generate complex emissions from sources such as oxides, hydroxides, and flame combustion products in the flame or plasma. Several strategies can be employed to minimize spectral interferences caused by overlapping emission lines or bands. These include increasing instrument resolution, choosing alternative emission lines, optimally placing the detector in low-background regions,...
183

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相关实验视频

Updated: Jun 28, 2025

Wind Tunnel Experiments to Study Chaparral Crown Fires
09:27

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火焰目标图像的实时检测算法

Jing Zhao1

  • 1School of Computer Science and Engineering, Nanjing University of Science & Technology, Nanjing 210094, China.

Computational intelligence and neuroscience
|April 18, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了YOLO+,这是一种用于实时火焰检测的新算法,可以显著提高供应链中小型物体的准确性和速度. 改进的方法达到99.5%的准确性,缺失率很低.

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Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames
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Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
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科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 工业安全 工业安全 工业安全

背景情况:

  • 准确和快速的火焰检测,特别是供应链中的小型物体,在研究中是一个持续的挑战.
  • 现有的算法往往难以达到实时应用所需的速度和精度.

研究的目的:

  • 开发一种新的实时目标检测算法,专门用于对小物体进行增强的火焰识别.
  • 提高供应链环境中的火焰检测系统的准确性和效率.

主要方法:

  • 实现多尺度特征融合,以加强用于小物体识别的特征提取.
  • 集成的K-意味着集成到先前的界限框中,以提高检测准确度.
  • 在YOLO+算法中利用特定的火焰特征来最大限度地减少假阳性并提高检测效率.

主要成果:

  • YOLO+算法实现了99.5%的高准确率.
  • 显示了1.3%的低遗漏率.
  • 达到每秒72的检测速度.

结论:

  • 与传统的YOLO系列算法相比,YOLO+算法在火焰检测任务中提供了更高的性能.
  • 该算法的速度和准确性使其非常适合在供应链应用中实时检测火焰.
  • 该研究强调了多尺度聚变和K介质聚类在改善小物体检测方面的有效性.