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相关概念视频

Temperature Dependent Deformation01:12

Temperature Dependent Deformation

166
In a nonhomogeneous rod made up of steel and brass, restrained at both ends and subjected to a temperature change, several steps are involved in calculating the stress and compressive load. Due to the problem's static indeterminacy, one end support is disconnected, allowing the rod to experience the temperature change freely. Next, an unknown force is applied at the free end, triggering deformations in the rod's steel and brass portions. These deformations are then calculated and added...
166
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

82
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
82
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

43
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
43
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

2.5K
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
2.5K
Calculating Standard Deviation01:08

Calculating Standard Deviation

7.5K
The standard deviation is the most common measure of variation. It is a value that tells us how far a data value is from the mean value in a dataset. Further, the standard deviation is always a positive value or zero.
The standard deviation value is small when all the data is concentrated close to the mean. Here the data exhibits low variation. The standard deviation value is larger when the data values are more spread out from the mean. Here, the data displays high...
7.5K
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.6K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.6K

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相关实验视频

Updated: Jul 16, 2025

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

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对分布式温度数据的空间衍生式压缩方法.

Luís C B Silva, Marcelo E V Segatto

    Applied optics
    |September 14, 2023
    PubMed
    概括
    此摘要是机器生成的。

    一种用于分布式温度传感器的新数据压缩方法使用空间导数来减少数据量. 这种技术有效地删除冗余信息,而不牺牲空间分辨率,简化数据处理.

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    相关实验视频

    Last Updated: Jul 16, 2025

    Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
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    Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

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    科学领域:

    • 光学传感技术的技术
    • 数据科学和信号处理数据科学和信号处理

    背景情况:

    • 先进的分布式光学传感器产生了大量的数据集,这给处理和存储带来了重大挑战.
    • 目前的数据处理方法很难有效地管理光纤传感器的高分辨率,远程测量.

    研究的目的:

    • 引入一种专门为分布式温度传感数据设计的新型数据压缩方法.
    • 解决处理和存储来自先进光学传感器系统的大量数据的挑战.

    主要方法:

    • 拟议的方法利用温度信号的空间导数来识别和消除冗余的数据点.
    • 这种方法应用于温度数据,适应传感纤维沿线的加热和冷却变化.

    主要成果:

    • 通过去除冗余的空间温度变化,实现了1.5×的平均数据压缩比.
    • 压缩方法成功地保持了温度测量的空间分辨率.

    结论:

    • 基于空间导数的压缩方法为从分布式温度传感器管理大数据集提供了简单有效的解决方案.
    • 这种技术是多功能和适用于各种热形状,提高光学传感数据分析的实用性.