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Related Concept Videos

Transformers in Distribution System01:27

Transformers in Distribution System

101
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
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Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

149
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
149
Three-Winding Transformers01:19

Three-Winding Transformers

222
Three identical single-phase transformers can be configured to form a three-phase transformer connection, which involves high-voltage and low-voltage windings. The high-voltage windings are denoted by capital letters A-B-C, while the low-voltage windings are labeled with lowercase letters a-b-c, representing their respective phases. This notation helps distinguish between the high and low voltage sides of the transformer.
In the per-unit equivalent circuit of a grounded Y-Y three-phase...
222
Transformers01:26

Transformers

1.1K
A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
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Methods of Obtaining Topography01:25

Methods of Obtaining Topography

63
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
63
Types Of Transformers01:16

Types Of Transformers

965
Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
965

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Transformers for Remote Sensing: A Systematic Review and Analysis.

Ruikun Wang1,2, Lei Ma3, Guangjun He1,2

  • 1Beijing Institute of Satellite Information Engineering, Beijing 100095, China.

Sensors (Basel, Switzerland)
|June 19, 2024
PubMed
Summary

Transformers in remote sensing (RS) show high accuracy in land use classification and fusion. Further research is needed to improve their parameter efficiency and inference speed for broader applications.

Keywords:
change detectionclassificationconvolutional neural networkdeep learningimage fusionobject detectionrecurrent neural networks (RNNs)segmentationtime series

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Area of Science:

  • Remote Sensing
  • Computer Vision
  • Artificial Intelligence

Background:

  • Transformer models have seen increased research in remote sensing (RS) since 2021.
  • A review of transformer applications in RS is currently lacking.

Purpose of the Study:

  • To quantitatively analyze major research trends of transformers in RS over the past two years.
  • To identify key application domains and performance characteristics of transformers in RS.

Main Methods:

  • A quantitative analysis of transformer research in RS was conducted.
  • Applications were categorized into eight domains: LULC classification, segmentation, fusion, change detection, object detection, object recognition, registration, and others.

Main Results:

  • Transformers demonstrate higher accuracy in land use/land cover (LULC) classification and data fusion.
  • Stable performance was observed in segmentation and object detection tasks.
  • Transformers require more parameters than convolutional neural networks (CNNs) and need improved inference speed.
  • Common application scenes include urban, farmland, and water bodies, primarily in natural sciences like agriculture and environmental protection.

Conclusions:

  • Transformers offer significant potential in various RS applications, particularly in classification and fusion.
  • Addressing parameter count and inference speed are crucial for advancing transformer performance in RS.
  • Future research should focus on optimizing transformer architectures for RS data and expanding their application scope.