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Related Concept Videos

Transformers01:26

Transformers

1.0K
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...
1.0K
Three-Winding Transformers01:19

Three-Winding Transformers

180
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...
180
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

127
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...
127
Reducing Line Loss01:18

Reducing Line Loss

137
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
137
Types Of Transformers01:16

Types Of Transformers

937
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...
937
Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

372
The practical equivalent circuits of single-phase two-winding transformers exhibit significant deviations from their idealized versions due to the inherent properties of winding resistance and finite core permeability. These properties result in real and reactive power losses, affecting the transformer's performance. Understanding these deviations is crucial for designing more efficient transformers.
In a practical transformer, each winding exhibits resistance and leakage reactance. The...
372

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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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Enhanced transformer for length-controlled abstractive summarization based on summary output area.

Yusuf Sunusi1, Nazlia Omar1, Lailatul Qadri Zakaria1

  • 1Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.

Peerj. Computer Science
|March 26, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for abstractive summarization that uses image processing to control summary length. Enhanced T5 and GPT models adapt summaries to fit specific output slots, improving length control.

Keywords:
Abstractive text summarizationComputer visionNatural language processingSummary length control

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Area of Science:

  • Natural Language Processing
  • Computer Vision
  • Artificial Intelligence

Background:

  • Current abstractive summarization models generate single summaries, lacking precise length control.
  • Existing length-controllable methods struggle to select relevant information within length constraints.

Purpose of the Study:

  • To develop a novel approach for length-controllable abstractive summarization.
  • To integrate an image processing phase for determining summary output slot size.
  • To adapt enhanced T5 and GPT models for generating summaries that perfectly fit designated slots.

Main Methods:

  • A novel approach integrating an image processing phase to determine summary output slot size.
  • Utilizing enhanced T5 and GPT models for abstractive summarization.
  • Employing the computed area of a slot to tailor summary generation.

Main Results:

  • The proposed model successfully generates abstractive summaries tailored to fit specific output slots.
  • Experimental evaluations on the CNN/Daily Mail dataset demonstrate superior length-controlled summarization performance.
  • The image processing integration effectively guides summary length adaptation.

Conclusions:

  • The novel image processing-integrated approach offers effective length control for abstractive summarization.
  • Enhanced T5 and GPT models can be adapted to produce contextually relevant, length-specific summaries.
  • This method advances practical applications requiring precise summary length adaptation.