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相关概念视频

Social Traps01:41

Social Traps

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Social traps are negative situations where people get caught in a direction or relationship that later proves to be unpleasant, with no easy way to back out of or avoid. The concept was orignally introduced by John Platt who applied psychology to Garrett Hardin's "Tragedy of the Commons", where in New England herd owners could let their cattle graze in the common ground. This situation seems like a good idea, but an individual could have an advantage. If they owned...
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Short-distance Transport of Resources02:12

Short-distance Transport of Resources

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Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
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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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相关实验视频

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Trajectory Data Analyses for Pedestrian Space-time Activity Study
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最小的出租车车队算法考虑人类的时空行为.

Zhi-Dan Zhao1,2, Yu Wang1,2, Wei-Peng Nie3,4,5

  • 1Complexity Computation Lab, Department of Computer Science, School of Engineering, Shantou University, Shantou 515063, China.

Chaos (Woodbury, N.Y.)
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概括
此摘要是机器生成的。

本研究介绍了用于城市旅行计划的空间时间霍普克罗夫特-卡普 (STHK) 算法. 该算法优化了车队规模,减少了旅行时间和距离,从而降低了排放.

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科学领域:

  • 城市规划是城市规划.
  • 运输科学 运输科学
  • 计算机科学 计算机科学

背景情况:

  • 越来越多的旅行数据有助于研究用户行为.
  • 用户旅行计划对于理论和实际应用至关重要.

研究的目的:

  • 开发一个高效的城市旅行安排解决方案.
  • 尽量减少车队规模,同时考虑行程时间和距离.

主要方法:

  • 提出了空间时间霍普克罗夫特-卡普 (STHK) 算法.
  • 开发了一个考虑时间和空间成本的旅行安排解决方案.

主要成果:

  • STHK算法减少了81%的车队卸载时间和58%的卸载距离.
  • 算法保留了人类旅行行为的异质特征.
  • 优化的车队规模满足了城市旅行的需求.

结论:

  • 该STHK算法有效地减少了旅行时间,距离,能源消耗和碳排放.
  • 旅行计划结果与人类旅行特征保持一致.
  • 该算法在城市移动方面具有重要的理论和实践价值.