Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

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

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Data augmentation for Arabic text classification: a review of current methods, challenges and prospective directions.

PeerJ. Computer science·2025
Same author

TF-BERT: Tensor-based fusion BERT for multimodal sentiment analysis.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

Enhancing traditional Chinese medical named entity recognition with Dyn-Att Net: a dynamic attention approach.

PeerJ. Computer science·2024
Same author

An optimized BERT fine-tuned model using an artificial bee colony algorithm for automatic essay score prediction.

PeerJ. Computer science·2024
Same author

A multi-view representation technique based on principal component analysis for enhanced short text clustering.

PloS one·2024
Same author

A normalization model for repeated letters in social media hate speech text based on rules and spelling correction.

PloS one·2024

相关实验视频

Updated: May 20, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

335

基于总结输出面积的长度控制抽象总结的增强变压器.

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
概括
此摘要是机器生成的。

这项研究引入了一种新的抽象总结方法,该方法使用图像处理来控制总结长度. 改进的T5和GPT模型调整摘要以适应特定的输出槽,改善长度控制.

关键词:
抽象的文本总结 抽象的文本总结计算机视觉 计算机视觉 计算机视觉自然语言处理自然语言处理.总结长度控制 总结长度控制

更多相关视频

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation
16:23

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

11.2K
Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites
07:45

Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites

Published on: September 27, 2024

2.0K

相关实验视频

Last Updated: May 20, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

335
Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation
16:23

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

11.2K
Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites
07:45

Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites

Published on: September 27, 2024

2.0K

科学领域:

  • 自然语言处理自然语言处理.
  • 计算机视觉 计算机视觉
  • 人工智能的人工智能

背景情况:

  • 当前的抽象总结模型生成单个总结,缺乏精确的长度控制.
  • 现有的长度可控制的方法难以在长度限制范围内选择相关信息.

研究的目的:

  • 为长度可控的抽象总结开发一种新的方法.
  • 整合一个图像处理阶段来确定总结输出槽大小.
  • 调整增强的T5和GPT模型,以生成完美适合指定时段的摘要.

主要方法:

  • 一种新的方法,集成图像处理阶段来确定总结输出插槽大小.
  • 使用增强的T5和GPT模型进行抽象总结.
  • 使用一个插槽的计算面积来定制摘要生成.

主要成果:

  • 拟议的模型成功地生成了根据特定输出时段量身定制的抽象摘要.
  • 在CNN/Daily Mail数据集上的实验评估表明优越的长度控制总结性能.
  • 图像处理集成有效指导摘要长度的调整.

结论:

  • 新型的图像处理集成方法为抽象总结提供了有效的长度控制.
  • 增强的T5和GPT模型可以被调整,以产生与情境相关的,长度特定的摘要.
  • 这种方法推进了需要精确的摘要长度调整的实际应用.