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相关概念视频

Mechanical Systems01:22

Mechanical Systems

165
Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
165
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
290
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

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The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
608
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...
547
Control Systems01:10

Control Systems

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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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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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工程和人工智能:促进协同作用

Ramalingam Chellappa1,2, Guru Madhavan3, T E Schlesinger1

  • 1Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.

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PubMed
概括
此摘要是机器生成的。

人工智能 (AI) 和机器学习 (ML) 正在改变工程,但在准确性,偏见和安全性方面面临挑战. 这篇论文探讨了AI.

关键词:
人工智能的人工智能是人工智能.自主系统是指自主系统.伦理和责任伦理和责任材料和制造业的材料和制造业的材料.机器人技术 机器人工程 机器人工程

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科学领域:

  • 工程和计算机科学 工程和计算机科学
  • 人工智能和机器学习

背景情况:

  • 由数据和计算能力推动的AI和ML的进步,影响了各种领域.
  • 关键的挑战包括准确性,可信度,安全性,偏见,可解释性和性能漂移.
  • 在数据稀缺领域的影响是有限的.

研究的目的:

  • 检查AI和ML对工程系统的影响.
  • 在人工智能驱动的工程中解决安全和性能保证问题.
  • 分析进展和挑战,以增强工程-人工智能协同作用.

主要方法:

  • 关于工程中的AI/ML应用的文献综述.
  • 分析当前的进展和发现的挑战.
  • 检查安全和绩效保证策略.

主要成果:

  • 人工智能/机器学习越来越多地被整合到工程领域,如自动驾驶汽车和材料发现.
  • 在AI/ML系统的可靠性,安全性和偏见方面,仍然存在重大挑战.
  • 工程原理和AI/ML之间的协同作用需要进一步开发强大的应用程序.

结论:

  • 加强工程-人工智能协同作用对于可靠和安全的部署至关重要.
  • 解决AI/ML挑战对于在数据有限的工程领域的更广泛采用至关重要.
  • 未来的研究应该专注于针对工程应用的强大的AI/ML方法.