Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

680
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...
680
Short-distance Transport of Resources02:12

Short-distance Transport of Resources

16.2K
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.
16.2K
Distributed Loads01:19

Distributed Loads

559
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
559
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

73
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
73
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

140
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
140
Design of Columns under a Centric Load01:17

Design of Columns under a Centric Load

145
The design of columns under centric load is a fundamental aspect of structural engineering and is critical for ensuring the stability and integrity of structures. Euler's and Secant's formulas are central to understanding and calculating the critical load and deformation behaviors of columns, providing a basis for safe and effective structural design.
Euler's formula is applicable under the assumption that the column is a perfect, straight, homogenous prism, and it is operating...
145

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Performance and microbial community of the CANON process in a sequencing batch membrane bioreactor with elevated COD/N ratios.

Water science and technology : a journal of the International Association on Water Pollution Research·2020
Same author

Stable oxygen isotope constraints on nitrate formation in Beijing in springtime.

Environmental pollution (Barking, Essex : 1987)·2020
Same author

UV-assisted synthesis of long-wavelength Si-pyronine fluorescent dyes for real-time and dynamic imaging of glutathione fluctuation in living cells.

Journal of materials chemistry. B·2020
Same author

An ultrafast responsive BODIPY-based fluorescent probe for the detection of endogenous hypochlorite in live cells.

Journal of materials chemistry. B·2020
Same author

A reductant-resistant ratiometric, colorimetric and far-red fluorescent probe for rapid and ultrasensitive detection of nitroxyl.

Journal of materials chemistry. B·2020
Same author

Ratiometric fluorescence imaging of endogenous selenocysteine in cancer cell matrix.

Journal of materials chemistry. B·2020

Related Experiment Video

Updated: Jul 26, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

607

Optimization design of railway logistics center layout based on mobile cloud edge computing.

Xiaoling Zhang1

  • 1Transportation Management College, Zhengzhou Railway Vocational and Technical College, Zhengzhou, Henan, China.

Peerj. Computer Science
|June 22, 2023
PubMed
Summary

This study introduces a two-tier unloading strategy for intelligent railway logistics, reducing time delay by 40%. The approach optimizes task offloading between onboard devices, vehicular edge computing (VEC), and cloud servers for enhanced efficiency.

Keywords:
Cloud computingEdge calculationRailway logistics centerUnloading strategy

More Related Videos

Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method
09:16

Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method

Published on: May 12, 2023

1.2K
Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.2K

Related Experiment Videos

Last Updated: Jul 26, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

607
Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method
09:16

Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method

Published on: May 12, 2023

1.2K
Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.2K

Area of Science:

  • Logistics and Supply Chain Management
  • Computer Engineering
  • Transportation Systems

Background:

  • Railway freight transportation is crucial for economic development, with efficiency depending on logistics center optimization.
  • Intelligent railway logistics requires advanced computing solutions like edge collaboration, balancing cloud resources with real-time needs.
  • Existing cloud-edge collaboration introduces wireless communication delays, impacting real-time performance.

Purpose of the Study:

  • To design and evaluate a novel two-tier unloading strategy algorithm for intelligent railway logistics.
  • To minimize task execution time delay in cloud-edge computing environments for railway operations.
  • To optimize task offloading decisions considering onboard, vehicular edge computing (VEC), and cloud resources.

Main Methods:

  • Developed a two-tier unloading strategy algorithm to address optimization challenges.
  • Calculated task costs across onboard devices, vehicular edge computing (VEC), and cloud computing servers.
  • Simulated the proposed strategy against existing unloading methods to assess performance.

Main Results:

  • The proposed two-tier unloading strategy effectively reduces overall time delay.
  • Simulation results demonstrate a significant time delay reduction of approximately 40% compared to other strategies.
  • The algorithm optimizes task unloading decisions for improved railway logistics efficiency.

Conclusions:

  • The designed two-tier unloading strategy is effective in mitigating time delays in intelligent railway logistics.
  • This approach offers a viable solution for enhancing the performance of cloud-edge collaboration in transportation systems.
  • Optimizing task offloading is key to achieving efficient and real-time operations in modern railway logistics.