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

Distribution Reliability and Automation01:25

Distribution Reliability and Automation

541
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
541
Buoyancy and Stability for Submerged and Floating Bodies01:11

Buoyancy and Stability for Submerged and Floating Bodies

2.7K
In fluid mechanics, buoyancy and stability are key concepts for understanding the behavior of submerged and floating bodies. When a stationary body is fully or partially submerged in a fluid, the fluid exerts a force on the body known as the buoyant force. This force acts vertically upward through a point called the center of buoyancy, which is the center of the displaced fluid volume. According to Archimedes' principle, the magnitude of the buoyant force is equal to the weight of the fluid...
2.7K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.2K
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...
1.2K
Distributed Loads01:19

Distributed Loads

1.0K
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...
1.0K
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

555
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
555
Transformers in Distribution System01:27

Transformers in Distribution System

539
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
539

You might also read

Related Articles

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

Sort by
Same author

Isolation and characterization of microplastics from human blood samples by confocal RAMAN microscopy.

MethodsX·2026
Same author

One-year outcomes by index treatment in older patients with acute cholecystitis. Protocol of the international, prospective, observational GOLDENEYE study.

Cirugia espanola·2025
Same author

One-year outcomes of elderly acute cholecystitis patients by index treatment.

Frontiers in surgery·2025
Same author

Sequential versus Standard Triple Therapy for First-Line <i>Helicobacter pylori</i> Eradication: An Update.

Antibiotics (Basel, Switzerland)·2024
Same author

Oribatid mites in different Mediterranean crop rotations fertilized with animal droppings.

Experimental & applied acarology·2023
Same author

An Inexpensive Unmanned Aerial Vehicle-Based Tool for Mobile Network Output Analysis and Visualization.

Sensors (Basel, Switzerland)·2023

Related Experiment Video

Updated: Feb 25, 2026

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

1.5K

An Optimized, Data Distribution Service-Based Solution for Reliable Data Exchange Among Autonomous Underwater

Jesús Rodríguez-Molina1, Sonia Bilbao2, Belén Martínez3

  • 1Research Center on Software Technologies and Multimedia Systems for Sustainability (Centro de Investigación en Tecnologías Software y Sistemas Multimedia Para la Sostenibilidad-CITSEM), Campus Sur UPM, Ctra. Valencia, Km 7, Madrid 28031, Spain. jesus.rodriguezm@upm.es.

Sensors (Basel, Switzerland)
|August 8, 2017
PubMed
Summary

Managing heterogeneous autonomous vehicles underwater is challenging due to unreliable communication. This study introduces a semantic middleware using Data Distribution Service (DDS) to improve interoperability and cooperative missions for maritime operations.

Keywords:
autonomous underwater vehiclescyber-physical systemsmiddleware

More Related Videos

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

9.8K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

1.6K

Related Experiment Videos

Last Updated: Feb 25, 2026

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

1.5K
Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

9.8K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

1.6K

Area of Science:

  • Robotics and Autonomous Systems
  • Distributed Systems
  • Marine Technology

Background:

  • Underwater environments pose unique challenges for cooperative autonomous vehicle systems, including low bandwidth and unreliable data transmission.
  • Managing heterogeneous vehicles with diverse hardware and communication protocols requires robust interoperability solutions.
  • Existing cyber-physical systems often struggle with the complexities of underwater, distributed networks.

Purpose of the Study:

  • To present a Publish/Subscribe-based semantic middleware designed for unreliable underwater scenarios.
  • To enhance interoperability among cooperative and heterogeneous autonomous maritime vehicles.
  • To address the specific communication and data management issues in underwater distributed systems.

Main Methods:

  • Development of a semantic middleware solution leveraging multiple iterations of the Data Distribution Service (DDS) standard.
  • Integration of essential components for maritime operations: device/service registration, context awareness, and application layer access.
  • Interweaving middleware with wireless and acoustic networking technologies for comprehensive maritime communication.

Main Results:

  • Demonstrated satisfactory system performance through implementation details and test results.
  • Validated the middleware's effectiveness in both laboratory and real-world deployment scenarios.
  • Successfully addressed challenges of low bandwidth, unreliable transport, and hardware heterogeneity in underwater vehicle communication.

Conclusions:

  • The proposed semantic middleware effectively manages heterogeneous autonomous vehicles in cooperative underwater missions.
  • The DDS-based solution enhances vehicle interoperability and system reliability in challenging maritime environments.
  • The architecture provides a robust foundation for future advancements in autonomous maritime operations.