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相关概念视频

Control Systems01:10

Control Systems

1.4K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
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Open and closed-loop control systems01:17

Open and closed-loop control systems

1.0K
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
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Improving Translational Accuracy02:07

Improving Translational Accuracy

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2.7K
Load-frequency control01:28

Load-frequency control

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Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
268
Control Systems: Applications01:25

Control Systems: Applications

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Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
748
Stereotype Content Model02:16

Stereotype Content Model

14.9K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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相关实验视频

Updated: Sep 18, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
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基于边缘计算的英语翻译模型使用模糊的语义最佳控制技术.

Na Wang1

  • 1Jiaozuo Teachers College, Jiaozuo, Henan, China.

PloS one
|June 25, 2025
PubMed
概括

本研究介绍了一种边缘计算翻译模型 (FSRL-P2O),可以提高英语翻译的准确性. 它使用模糊语义属性和强化学习与近接政策优化来提高机器翻译质量.

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:

  • 对于准确的英语翻译的日益增长的需求需要机器翻译的进步.
  • 现有的模型面临着模糊性和不理想的词汇选择的挑战,影响翻译质量.
  • 边缘计算为本地化,高效处理翻译任务提供了潜力.

研究的目的:

  • 提出基于边缘计算的翻译模型 (FSRL-P2O),以提高英语翻译的准确性.
  • 为了利用模糊的语义属性和强化学习与近接政策优化 (PPO) 来改进翻译.
  • 解决机器翻译中的不确定性,包括域外数据和低质量的引用.

主要方法:

  • 语料库数据预处理和特征提取.
  • 模糊的语义相似度测量使用Jaccard系数来量化语义相似度.
  • 实施强化学习 (RL) 和近接政策优化 (PPO) 作为最佳控制技术.

主要成果:

  • FSRL-P2O模型显示了更好的翻译准确性和更高的语义相似性.
  • 模糊的语义分析有效地减少了翻译中的不确定性.
  • RL和PPO优化了翻译政策,提高了整体输出质量.

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结论:

  • 拟议的FSRL-P2O模型显著提高了英语翻译的质量和准确性.
  • 整合模糊语义相似性和RL/PPO提供了一个强大的方法来应对机器翻译的挑战.
  • 边缘计算有助于高效准确的机器翻译,满足现代需求.