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相关概念视频

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
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Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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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.
In the absence...
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Relative Motion Analysis using Rotating Axes01:25

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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
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Reducing Line Loss01:18

Reducing Line Loss

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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
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Updated: May 25, 2025

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在复杂的开放牧场环境中优化黑牛跟踪,使用YOLOv8嵌入式多摄像头系统.

Su Myat Noe1, Thi Thi Zin2, Ikuo Kobayashi3

  • 1Interdisplinary Graduate School of Agriculture and Engineering, University of Miyazaki, Miyazaki, 889-2192, Japan.

Scientific reports
|February 25, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种定制的多摄像头多牛追踪 (MCMCT) 系统,用于精确监测黑牛. 该系统达到95.61%的准确性,改善了精准农业中的牲畜管理.

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科学领域:

  • 农业工程 农业工程
  • 计算机视觉 计算机视觉
  • 动物科学动物科学

背景情况:

  • 日常活动监测对于黑牛的福利和农场管理至关重要.
  • 人工智能和计算机视觉的进步为畜牧业监测提供了新的可能性.
  • 传统的单摄像头系统在复杂的开放牧场环境中难以准确跟踪.

研究的目的:

  • 开发一种新的定制多摄像头多牛追踪 (MCMCT) 系统,用于精确监测黑牛.
  • 克服单摄像头设置在开放牧场环境中检测和跟踪牛的局限性.
  • 提高精准农业中的牲畜行为分析,健康评估和期事件预测.

主要方法:

  • 该MCMCT系统使用了跟踪通过检测模型,并以YOLO v8细分模型作为骨干.
  • 采用多摄像头 (四个摄像头) 的方法来改善复杂环境中的覆盖和准确性.
  • 与细分任何模型 (SAM) 集成可自动提取牛口罩区域,减少手动标签.

主要成果:

  • 在使用4个摄像头的10个案例中,YOLOv8-MCMCT系统实现了平均95.61%的多对象跟踪精度 (MOTA).
  • 该系统以每秒30的速度处理数据,展示了高效的实时性能.
  • 对比分析显示,MCMCT的性能优于Bot-sort,Byte-track和OC-sort等最先进的跟踪方法.

结论:

  • 在精密畜牧业中,MCMCT系统提供了一个强大的非接触式解决方案,用于自动监测牲畜.
  • 该系统在各种农场环境中表现出高精度和适应性,无需进行广泛的再培训.
  • 这项研究有助于改善畜牧业监测,农业效率和农场管理实践.