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相关概念视频

Optimization Problems01:26

Optimization Problems

24
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
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Velocity and Position by Graphical Method01:34

Velocity and Position by Graphical Method

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Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to...
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Design Example: Forces in Sluice Gate01:11

Design Example: Forces in Sluice Gate

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In hydraulic engineering, sluice gates are essential for managing water flow through channels, reservoirs, and irrigation systems. Sluice gates, acting as vertical barriers, regulate water by adjusting the gate's opening height, which changes the velocity and pressure of water flowing beneath the gate. Understanding the forces involved is crucial to designing sluice gates that can withstand dynamic pressure differences, especially when the gate is closed or partially open.
Key variables in...
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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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Root-Locus Method01:19

Root-Locus Method

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A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
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Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

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Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
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相关实验视频

Updated: Jan 18, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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室内行人位置通过基于滑动窗户的因子图表优化.

Yu Cheng1, Haifeng Li2, Xixiang Liu1

  • 1School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
概括

本研究介绍了一种先进的室内行人定位方法,使用智能手机传感器和变压器+TCN模型进行精确的步骤长度估计. 新方法显著提高了在具有挑战性的室内环境中的定位准确性和可靠性.

关键词:
在FGO的FGO.在GNSS中使用GNSS.在PDR中使用PDR.TCN TCN 是一个数字.变压器变压器变压器变压器

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科学领域:

  • 机器人和智能系统 机器人和智能系统
  • 传感器融合和导航
  • 机器学习用于信号处理.

背景情况:

  • 全球导航卫星系统 (GNSS) 由于信号阻塞和多路径效应,在室内无效.
  • 配备微电机系统 (MEMS) 传感器的智能手机提供了室内定位的潜力.
  • 准确的室内行人定位对于各种应用至关重要.

研究的目的:

  • 使用智能手机传感器开发一种高精度和可靠的室内行人死亡计数 (PDR) 方法.
  • 为了提高步骤长度估计的准确性和稳定性.
  • 为了提高室内整体定位性能.

主要方法:

  • 使用惯性测量单元 (IMU) /PDR预集成来减轻惯性导航分歧.
  • 开发了一种结合变压器和时间卷积网络 (TCN) 架构的新型步骤长度估计算法.
  • 实现了滑窗因子图形优化 (SW-FGO) 使用加速度计,陀螺仪和磁力计数据进行准确的姿势估计.

主要成果:

  • 与传统的FGO相比,提出的SW-FGO融合方法提高了29.68%的定位精度.
  • 基于变压器+TCN的步骤长度估计算法在口袋模式下将绝对位置误差降低了42.15%,而不是LSTM.
  • 变压器+TCN模型实现了1.61%的步骤长度估计误差,精度提高了24.41%.

结论:

  • 拟议的基于变压器+TCN和SW-FGO的PDR方法显著提高了室内行人定位的准确性和可靠性.
  • 这种新的方法有效地解决了复杂的室内环境中传统方法的局限性.
  • 这项技术有望改善室内导航和基于位置的服务.