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相关概念视频

Assessing Body Temperature - Axilla01:14

Assessing Body Temperature - Axilla

1.2K
Procedural Guide for Assessing Axillary Body Temperature using a Digital Thermometer:
Step 1: Perform hand hygiene and put on clean gloves to maintain infection control and prevent cross-contamination.
Step 2: Prepare the patient by explaining the procedure to ensure understanding and cooperation. Ensure privacy, expose the axilla, and inform the patient that minimal movement is crucial for an accurate reading.
Step 3: Adjust the patient’s clothing to expose only the axilla. It minimizes...
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Thermal expansion and Thermal stress: Problem Solving01:27

Thermal expansion and Thermal stress: Problem Solving

2.1K
San Francisco's Golden Gate Bridge is exposed to temperatures ranging from -15 °C to 40 °C. At its coldest, the main span of the bridge is 1275 m long. Assuming that the bridge is made entirely of steel, what is the change in its length between these temperatures?
To solve the problem, first, identify the known and unknown quantities. The initial length (L) of the bridge is 1275 m, the coefficient of linear expansion (α) for steel is 12 x 10-6/°C, and the change in temperature (ΔT) is 55...
2.1K
Equipments Used to Measure Body Temperature01:13

Equipments Used to Measure Body Temperature

1.7K
Body temperature can be assessed using various devices and measured in Celsius or Fahrenheit.
Glass-bulb Thermometer:
Glass-bulb thermometers are hollow glass tubes with a bulb tip containing liquid such as ethanol or mercury. Historically, glass bulb mercury thermometers were the standard device to measure body temperature. Today, mercury thermometers are prohibited in many countries due to the hazardous effects of mercury and the risk of exposure if the glass bulb breaks. In general,...
1.7K
Assessing Body Temperature - Temporal Artery01:19

Assessing Body Temperature - Temporal Artery

1.0K
Here is a stepwise guide to assessing the body temperature at the temporal artery using a temporal artery thermometer
Step 1: Perform hand hygiene and don a fresh pair of gloves to prevent cross-infection and ensure patient safety.
Step 2: Explain the procedure to the patient to establish trust. Clear communication establishes trust with the patient, ensures they understand what to expect, promotes cooperation, and enhances comfort during the procedure.  
Step 3: Assess the patient's...
1.0K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.0K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.0K
Thermosensation01:43

Thermosensation

33.6K
Peripheral thermosensation is the perception of external temperature. A change in temperature (on the surface of the skin and other tissues) is detected by a family of temperature-sensitive ion channels called Transient Receptor Potential, or TRP, receptors. These receptors are located on free nerve endings. Those detecting cold temperatures are closer to the surface of the skin than the nerve endings detecting warmth. These thermoTRP channels, while temperature selective, have relatively...
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相关实验视频

Updated: Jan 11, 2026

Infrared Thermography for the Detection of Changes in Brown Adipose Tissue Activity
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周边安全利用热物体检测

Georgios Orfanidis1, Konstantinos Ioannidis1, Stefanos Vrochidis1

  • 1Centre for Research and Technology Hellas-CERTH, Thermi, GR 57001 Thessaloniki, Greece.

Sensors (Basel, Switzerland)
|November 13, 2025
PubMed
概括
此摘要是机器生成的。

热成像为安全系统提供了强大的24小时检测,优于传统方法. 本研究评估了人工智能物体检测模型的热谱,以提高监控能力.

关键词:
在红外线下,红外线是红外线.关键基础设施的重要基础设施.对象检测检测对象检测对象检测监控监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督热热的热量是可以实现的.

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相关实验视频

Last Updated: Jan 11, 2026

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科学领域:

  • 计算机科学 计算机科学
  • 工程 工程师 工程师 工程师
  • 安全技术 安全技术

背景情况:

  • 人工智能 (AI) 越来越多地应用于各种领域,包括安全和监视.
  • 自动监控系统越来越普遍,推动对先进技术的需求.
  • 热探测提供了诸如24小时运行和对环境变化的稳定性等优势.

研究的目的:

  • 评估用于监控的热自动检测系统的有效性.
  • 评估AI物体检测模型在热频谱中的安全作用.
  • 确定热成像对于可靠和高效的威胁检测的适用性.

主要方法:

  • 检查仅在热/红外频谱中运行的物体检测模型.
  • 基于检测能力和效率来评估系统性能.
  • 评估对不同照明和天气条件的强度.

主要成果:

  • 热检测提供连续,不间断的监控能力.
  • 热频谱中的AI模型显示了有效识别威胁的潜力.
  • 该技术展示了对环境和照明挑战的弹性.

结论:

  • 热自动检测系统是先进监控的可行组成部分.
  • 人工智能驱动的热成像提高了安全机制的可靠性和效率.
  • 对于监控应用,建议对热物体检测模型进行进一步评估.