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相关概念视频

Instrument Calibration01:12

Instrument Calibration

683
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
683
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

4.1K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
4.1K
Temperature Measurement Sites01:14

Temperature Measurement Sites

3.2K
A thermometer measures body temperature. The common sites for measuring body temperature are the oral cavity, axillary region, temporal artery, and skin surface, such as the forehead, abdomen, and axilla. True core body temperature is assessed in the rectum, tympanic membrane, pulmonary artery, esophagus, and urinary bladder.
Oral: When assessing oral temperature, the thermometer tip should be placed under the tongue in the posterior sublingual pocket. It offers accurate readings and can be...
3.2K
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
Thermometers and Temperature Scales01:22

Thermometers and Temperature Scales

7.1K
Any physical property that depends consistently and reproducibly on temperature can be used as the basis of a thermometer. For example, volume increases with temperature for most substances. This property is the basis for the common alcohol thermometer and the original mercury thermometers. Other properties used to measure temperature include electrical resistance, color, and the emission of infrared radiation.
As many physical properties depend on temperature, the variety of thermometers is...
7.1K
Distance Corrections01:15

Distance Corrections

275
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
275

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相关实验视频

Updated: Jan 16, 2026

Method for Simultaneous fMRI/EEG Data Collection during a Focused Attention Suggestion for Differential Thermal Sensation
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使用机器学习算法对灵活温度传感器进行温度校准.

Ui-Jin Kim1, Ju-Hun Ahn2, Ji-Han Lee1

  • 1Department of Aerospace Engineering and the Program in Aerospace Systems Convergence, Inha University, Incheon 21999, Republic of Korea.

Sensors (Basel, Switzerland)
|September 27, 2025
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概括
此摘要是机器生成的。

用于结构健康监测的灵活温度传感器由于热歇斯底里而面临可靠性问题. 在静态数据上训练的LSTM模型有效校准这些传感器,在动态条件下提高精度.

关键词:
在EHD喷墨打印机上使用.深度神经网络是一个神经网络.灵活的温度传感器是一个灵活的温度传感器.长期短期记忆 长期短期记忆

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科学领域:

  • 材料科学 材料科学 材料科学
  • 传感器技术 传感器技术
  • 结构健康监测 结构健康监测

背景情况:

  • 热波动对大结构如桥梁和建筑物构成风险.
  • 灵活的温度传感器对于结构健康监测 (SHM) 系统至关重要.
  • 印刷传感器表现出复杂的动态歇斯底里,挑战其可靠性.

研究的目的:

  • 为EHD喷墨打印灵活温度传感器开发可靠的校准方法.
  • 为了应对传感器读数中动态歇斯底里的挑战.
  • 在快速的热变化下提高SHM系统的准确性.

主要方法:

  • 使用EHD喷墨印刷制造灵活的温度传感器的制造.
  • 开发和培训一个长期短期记忆 (LSTM) 校准模型.
  • 模型训练完全基于准静态温度数据 (20-70°C).
  • 使用未见的动态温度数据进行验证.

主要成果:

  • 与准静态数据上的多项式回归相比,LSTM模型在预测错误中实现了33.563%的改进.
  • 在动态数据上测试时,LSTM模型的RMSE从12.451°C下降到4.899°C.
  • 静态训练的LSTM模型在动态条件下表现出卓越的概括能力.

结论:

  • 数据驱动型号,特别是LSTM,为校准灵活打印传感器提供了强大的解决方案.
  • 开发的LSTM方法在现实世界SHM应用中显著提高了传感器可靠性.
  • 这种方法提高了大型结构中热监测的准确性和可靠性.