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Force Classification01:22

Force Classification

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Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
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Classification of Systems-II01:31

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Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
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Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
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在 IoV 中实时驾驶员识别:深度学习和云集成方法.

Hassan Muwafaq Gheni1,2, Laith A AbdulRahaim1, Abdallah Abdellatif3

  • 1Electrical Engineering Department, College of Engineering, University of Babylon, Babylon, Iraq.

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概括

本研究介绍了一种使用深度学习和云集成的用于汽车互联网 (IoV) 的新型实时驾驶员识别系统. 该系统实现了高精度,增强了车辆安全和车队管理.

关键词:
云计算是一种云计算.深度学习是一种深度学习.驾驶员行为 驾驶员行为驾驶员身份识别 驾驶员身份识别车辆的互联网 车辆的互联网

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 汽车工程 汽车工程

背景情况:

  • 汽车互联网 (IoV) 需要强大的系统来实现运营效率和安全.
  • 无端到端解决方案对于在IoV环境中管理实时数据至关重要.

研究的目的:

  • 在 IoV 中引入一种用于实时驾驶员识别的创新方法.
  • 开发一个集成的云和深度学习解决方案,用于 IoV 数据管理和驱动器识别.

主要方法:

  • 集成谷歌云,Thingsboard和Apache Kafka用于数据处理.
  • 卷积神经网络 (CNN) 和多头自我注意力用于驾驶员识别的应用.
  • 对"安全性"和"收集"数据集的验证.

主要成果:

  • 实现了99.95%的准确性和F1得分,超过了以前的方法.
  • 即使有传感器数据异常,也保持了96.2%的准确性.
  • 证明了对数据异常的弹性.

结论:

  • 拟议的端到端 IoV 系统能够准确识别驾驶员.
  • 该系统支持优化车队管理,增强车辆安全性和个性化驾驶体验.
  • 该研究强调了道路安全和运输管理方面的潜在改进.