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相关概念视频

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...
1.1K
Types Of Transformers01:16

Types Of Transformers

977
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...
977
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

157
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...
157
Transformers in Distribution System01:27

Transformers in Distribution System

103
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...
103
Per-Unit Sequence Models01:26

Per-Unit Sequence Models

74
An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
74
Energy Losses in Transformers01:21

Energy Losses in Transformers

876
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...
876

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用变压器对术语项目进行自动映射.

Alberto Purpura1, Joao Bettencourt-Silva1, Natasha Mulligan1

  • 1IBM Research, Dublin, Ireland.

AMIA ... Annual Symposium proceedings. AMIA Symposium
|January 15, 2024
PubMed
概括

本研究引入了一种自动化方法,将生物医学本体学课程映射到术语术语中,显著改善了用于临床数据分析的知识图表创建. 该系统实现了人类水平的性能,帮助研究人员组织复杂的医疗信息.

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科学领域:

  • 生物信息学是一种生物信息学.
  • 医疗信息学 医疗信息学
  • 自然语言处理自然语言处理.

背景情况:

  • 生物医学本体学对于分析临床文本数据,通过类层次结构组织信息至关重要.
  • 将概念映射到专家开发的术语中对于构建知识图表至关重要,但需要大量的劳动力.
  • 目前用于将本体类映射到术语的方法需要广泛的手册审查.

研究的目的:

  • 提出一种自动化的方法和可重复的框架,用于在本体学类和术语术语之间学习映射.
  • 为了利用统一医疗语言系统 (UMLS) 的词汇库来实现这一映射过程.
  • 提高生物医学信息学知识图表构建的效率和准确性.

主要方法:

  • 开发了一个自动化系统来学习生物医学本体学课程和UMLS术语之间的映射.
  • 创建了一个可重复的框架,以确保映射过程的一致性和可扩展性.
  • 利用自然语言处理 (NLP) 技术来促进信息的提取和组织.

主要成果:

  • 拟议的自动化系统在将本体学类映射到术语中,实现了与人类专家相提并论的性能.
  • 与国家医学图书馆开发的现有系统相比,表现出了显著的性能改进.
  • 成功创建了一个有效和准确的知识图表构建框架.

结论:

  • 自动化方法显著减少了绘制生物医学本体学的术语所需的手工工作.
  • 开发的框架为生物医学信息学研究人员提供了可扩展和有效的解决方案.
  • 这一进步为临床数据分析和推断提供了更强大的知识图表生成.