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

1.2K
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...
1.2K
Types Of Transformers01:16

Types Of Transformers

1.1K
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...
1.1K
Transformers in Distribution System01:27

Transformers in Distribution System

167
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...
167
The Ideal Transformer01:26

The Ideal Transformer

926
In single-phase two-winding transformers, two windings are coiled around a magnetic core characterized by cross-sectional area A and magnetic permeability μ. A phasor current i1 enters the left winding while i2 exits the right winding, establishing the fundamental working of the transformer through electromagnetic principles.
Ampere's Law forms the basis of understanding the magnetic field within the transformer. It states that the integral of the magnetic field intensity's...
926
Source Transformation01:15

Source Transformation

9.7K
Source transformation is a fundamental technique employed in circuit analysis, offering a valuable tool for simplifying complex electrical circuits. This technique involves the replacement of either a voltage source in series with a resistor by a current source in parallel with a resistor, or vice versa. The key concept here is that when the original sources are deactivated (turned off), the equivalent resistance at the circuit's end terminals remains the same.
It is essential to note that when...
9.7K
Energy Losses in Transformers01:21

Energy Losses in Transformers

986
In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
The first cause can be  the high resistance of the...
986

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

An improved LEACH algorithm integrated with Quantum Beluga Whale optimization for adaptive cluster configuration and energy efficiency in wireless sensor networks.

Scientific reports·2026
Same author

The influence of strontium oxide promoter on green methanol fuel production over Cu-Zn/Cr<sub>2</sub>O<sub>3</sub> catalysts via CO<sub>2</sub> hydrogenation.

Scientific reports·2026
Same author

Advanced detection of coronary artery disease using a GAN-transformer model on plasma cytokine profiles.

Scientific reports·2026
Same author

RETRACTION: Comparative efficacy of semaglutide versus liraglutide on weight loss and glycaemic control.

Endocrine connections·2026
Same author

Trace detection of carbaryl pesticide in food samples via a highly efficient and novel g-C<sub>3</sub>N<sub>4</sub>/MXene-based electrochemical sensor.

Food chemistry·2026
Same author

Deep learning-based multi-class classification of thyroid disorders on Tc-99m scintigraphy using modified DenseNet-201.

Digital health·2026

相关实验视频

Updated: Sep 18, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

693

塔斯基:以方面为基础的情绪分析的转换器,具有上下文意图集成的整合.

Hassan Nazeer Chaudhry1, Farzana Kulsoom2, Zahid Ullah Khan3

  • 1Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy, Milano, Città Metropolitana di Milano, Italy.

PeerJ. Computer science
|June 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基于变压器的方面级情感分类与意图 (TASCI) 模型. 塔斯基通过将方面级分类与意图分析相结合来增强情绪分析,以更准确地检测用户意见.

关键词:
视角级别情感分类的分类.自然语言处理自然语言处理.情感分析是一种情感分析.变压器 变压器 变压器

更多相关视频

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

3.1K
Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
08:32

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks

Published on: September 5, 2019

5.7K

相关实验视频

Last Updated: Sep 18, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

693
RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

3.1K
Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
08:32

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks

Published on: September 5, 2019

5.7K

科学领域:

  • 自然语言处理自然语言处理.
  • 人工智能的人工智能
  • 计算语言学 计算语言学

背景情况:

  • 传统的情绪分析往往无法捕捉到用户意图和对特定方面情绪之间的关系.
  • 现有的模型可能忽略了对于准确的意见挖掘至关重要的背景细微差别.

研究的目的:

  • 引入一个新的基于变压器的方面级情感分类与意图 (TASCI) 模型.
  • 通过整合意图分析来增强视角级情绪分类.
  • 提高情感分析的准确性和上下文理解.

主要方法:

  • 使用自我注意力机制的方面提取.
  • 使用基于变压器的模型,从前面的句子中推断意图.
  • 整合方面和意图分析,以实现统一的情绪分类框架.

主要成果:

  • 在基准数据集 (餐厅,笔记本电脑,Twitter) 上取得了最先进的结果.
  • 证明了高准确度:89.10% (餐厅),84.81% (笔记本电脑),79.08% (推特).
  • 获得了高的宏观F1分数:83.38% (餐厅),78.63% (笔记本电脑),77.27% (推特).

结论:

  • 整合意图分析显著改善了面向级情绪分类.
  • 塔斯基模型通过将情绪置于环境中,更准确地反映了用户的意见.
  • 这些发现为跨越不同领域的复杂情绪表达分析制定了新的标准.