Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

365
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...
365
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

666
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
666
Root-Locus Method01:19

Root-Locus Method

172
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...
172
Hydraulic Jump: Problem Solving01:16

Hydraulic Jump: Problem Solving

80
To analyze a hydraulic jump in a rectangular channel with a flow speed of 6 meters per second, follow these steps:Calculate Effective Upstream Velocity:When the downstream gate closes, a hydraulic jump forms, traveling upstream at 2 meters per second. This wave speed combines with the initial channel flow velocity, creating an effective upstream velocity.Identify Flow Velocities Before and After the Hydraulic Jump:Upstream of the hydraulic jump, the effective flow velocity includes both the...
80

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Similarity Matching Networks: Hebbian Learning and Convergence Over Multiple Timescales.

Neural computation·2026
Same author

Distributionally robust free energy principle for decision-making.

Nature communications·2025
Same author

Feasibility and Safety of a Three-Dimensional Sheath for Right Ventricular Septal Endomyocardial Biopsy.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions·2025
Same author

Comparative Effectiveness of Midazolam-Based Sedation on the Need for Intracranial Pressure Lowering Therapies in Traumatic Brain Injury.

Neurotrauma reports·2025
Same author

Composite Nanostructures for the Production of White Light.

Molecules (Basel, Switzerland)·2024
Same author

Reconstructing higher-order interactions in coupled dynamical systems.

Nature communications·2024
Same journal

Peripheral B-cell receptor repertoire predicts immune-related adverse events following immune checkpoint inhibitor therapy in advanced renal cell carcinoma.

Scientific reports·2026
Same journal

Effects of black soldier fly (Hermetia illucens L.) larvae zoocompost on the mineral element content of blue honeysuckle berries.

Scientific reports·2026
Same journal

Investigation on absorption refrigeration performance of R1243zf with imidazolium ionic liquid as the working pairs.

Scientific reports·2026
Same journal

DeepTriage-CN: integrating clinical text with vital signs for emergency department admission prediction in an aging population.

Scientific reports·2026
Same journal

Gold nanoparticles as dual-action antiviral agents: disruption of SARS-CoV-2 viral envelopes and RNA integrity.

Scientific reports·2026
Same journal

Comparison of capillary microsampling and venous blood for multi-pathogen serosurveillance.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Jul 15, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.4K

爬行:智能停车场的轮子上的众包算法.

Émiland Garrabé1, Giovanni Russo2

  • 1Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, 84084, Fisciano, Italy. egarrabe@unisa.it.

Scientific reports
|October 3, 2023
PubMed
概括
此摘要是机器生成的。

我们介绍了智能停车 (CRAWLING) 的轮子上的众包算法,这是一项车载服务,使用联网汽车来众包数据以实现最佳路由. 该系统有效地协调车辆以适应实时道路状况并最大限度地降低成本.

更多相关视频

Author Spotlight: A Smartphone-Based Imaging Method for C. elegans Lawn Avoidance Assay
07:39

Author Spotlight: A Smartphone-Based Imaging Method for C. elegans Lawn Avoidance Assay

Published on: February 24, 2023

9.9K
Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform
07:20

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform

Published on: November 28, 2018

9.2K

相关实验视频

Last Updated: Jul 15, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.4K
Author Spotlight: A Smartphone-Based Imaging Method for C. elegans Lawn Avoidance Assay
07:39

Author Spotlight: A Smartphone-Based Imaging Method for C. elegans Lawn Avoidance Assay

Published on: February 24, 2023

9.9K
Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform
07:20

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform

Published on: November 28, 2018

9.2K

科学领域:

  • 智能运输系统 智能运输系统
  • 控制理论 控制理论
  • 数据科学数据科学数据科学

背景情况:

  • 互联汽车为数据收集和智能路由提供了新的机会.
  • 现有的路由算法经常与动态,异质的数据流和随机行为作斗争.

研究的目的:

  • 介绍智能停车场 (CRAWLING) 轮式众包算法的设计和有效性.
  • 为了使联网汽车能够众包数据,以优化路由任务.
  • 在动态环境中开发数据驱动路由的控制理论框架.

主要方法:

  • 开发了一个控制理论表述,用于一个最佳的数据驱动的控制问题.
  • 为CRAWLING服务设计了一个通用的模块化架构.
  • 将异质数据流和随机行为纳入路由模型.

主要成果:

  • 模拟表明,CRAWLING有效地协调车辆,以便实时适应道路条件.
  • 该系统使汽车能够通过最大化环境回报来最大限度地降低其成本功能.
  • 拟议的架构在各种示例场景中被证明是有效的.

结论:

  • 爬行提供了一个原则性的方法,用于众包车载路由连接车辆.
  • 系统处理异质数据的能力和随机性提高了路由效率.
  • 开源架构促进了进一步的研究和结果的复制.