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

Reinforcement Schedules01:24

Reinforcement Schedules

135
Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
135
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

550
Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...
550
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

302
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...
302
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

631
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...
631
Design Example: Distributing Reinforcements in Concrete Sections01:22

Design Example: Distributing Reinforcements in Concrete Sections

83
The topic explores the practical aspects of adjusting steel reinforcements within a concrete beam section to meet specific design requirements. When designing a reinforced concrete beam, it is essential to distribute the steel reinforcements properly to ensure structural integrity and efficiency. The example provided details a scenario where a beam requires a total steel cross-section of 4 square inches. The engineer identifies that the available steel bars have a nominal diameter of 1.693...
83
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

45
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
45

You might also read

Related Articles

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

Sort by
Same author

Low-intensity stimulation drives macrophage efferocytosis via ACSL4 lipid remodeling and CCL9-CCR1 signaling for tendon-bone healing.

Science advances·2026
Same author

A Palladium(IV) Amido Alkyl System Relevant to C(sp<sup>3</sup>)-N Bond Formation.

Journal of the American Chemical Society·2026
Same author

Sorting Nexin 10 Mediates Endosomal Acidification and Autophagy to Promote Influenza A Virus Infection.

Viruses·2026
Same author

Correction: An N-heterocyclic carbene-based pincer system of palladium and its versatile reactivity under oxidizing conditions.

Dalton transactions (Cambridge, England : 2003)·2026
Same author

Oleic Acid Promotes Milk Fat Synthesis by Stimulating GPR40-Gα<sub>q</sub>-PI3K/Akt-SREBP1-Dependent Fatty Acid Uptake.

Journal of agricultural and food chemistry·2026
Same author

Expression of Concern.

Bone & joint research·2026

Related Experiment Video

Updated: Jun 12, 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

3.2K

A dynamic yard space reservation algorithm based on reward-penalty mechanism.

Beng Xuan1, Chengji Liang1, Xiaoming Yang2

  • 1Institute Logistics Science and Engineering, Shanghai Maritime University, Shanghai, 201306, China.

Heliyon
|September 26, 2024
PubMed
Summary

This study introduces a novel dynamic yard slot reservation system for container terminals. The new method improves yard efficiency and port productivity by minimizing truck wait times and optimizing space utilization.

Keywords:
Container terminal yardDynamic reservation algorithmResource conflictReward-penalty mechanismYard space allocation

More Related Videos

An Innovative Running Wheel-based Mechanism for Improved Rat Training Performance
07:51

An Innovative Running Wheel-based Mechanism for Improved Rat Training Performance

Published on: September 19, 2016

8.9K
An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
07:42

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents

Published on: August 2, 2018

13.5K

Related Experiment Videos

Last Updated: Jun 12, 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

3.2K
An Innovative Running Wheel-based Mechanism for Improved Rat Training Performance
07:51

An Innovative Running Wheel-based Mechanism for Improved Rat Training Performance

Published on: September 19, 2016

8.9K
An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
07:42

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents

Published on: August 2, 2018

13.5K

Area of Science:

  • Operations Research
  • Logistics Management
  • Supply Chain Optimization

Background:

  • Container terminals face challenges with high yard occupancy, leading to reduced capacity and inefficient space usage.
  • Traditional yard allocation methods do not account for dynamic container arrivals or operational conflicts.
  • Inefficiencies result in increased truck waiting times and longer travel distances within the terminal.

Purpose of the Study:

  • To develop an innovative approach for improving container terminal yard efficiency.
  • To address the limitations of traditional yard space allocation methods.
  • To minimize operational conflicts and optimize resource utilization in container yards.

Main Methods:

  • Dividing yard container retrieval into discrete time intervals.
  • Dynamically reserving yard slots within each interval using a novel algorithm.
  • Implementing a time-series reward-penalty mechanism for reservation feedback and future potential.
  • Considering past reservation data and future reservation needs for continuous container grouping.

Main Results:

  • The proposed dynamic reservation algorithm significantly enhances yard efficiency.
  • The method effectively minimizes operational conflicts and reduces distances between terminal blocks and berths.
  • Experimental scenarios demonstrated superior performance compared to static and other dynamic algorithms.
  • Overall port productivity shows marked improvement with the new approach.

Conclusions:

  • The dynamic reservation system offers a significant advancement in container terminal yard management.
  • This approach effectively tackles the complexities of real-time demands and dynamic container flows.
  • The reward-penalty mechanism ensures efficient and continuous container grouping, optimizing space.
  • The study highlights a pathway to enhanced operational performance and productivity in container terminals.