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

Multimachine Stability01:25

Multimachine Stability

587
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
587
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

503
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
503
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

800
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
800
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

522
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...
522
Autocrine Signaling01:01

Autocrine Signaling

52.3K
Autocrine signaling is one of the many signaling mechanisms that function inside multicellular organisms to carry out intercellular communication. In this type of signaling mechanism, the same cell that secretes an extracellular signaling molecule also expresses the receptors to bind and respond to that signaling molecule.
Autocrine Signaling in Macrophages
Under normal physiological conditions, autocrine signaling is essential for maintaining homeostasis. This process is well characterized in...
52.3K
Machines01:19

Machines

586
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
586

You might also read

Related Articles

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

Sort by
Same author

The synergy of methylphenidate- and reconsolidation-based extinction normalizes ventromedial prefrontal function in drug addiction.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Canadian mental health laws: a review of involuntary admission and treatment pending appeal.

CNS spectrums·2025
Same author

Design and Experimental Demonstration of an Integrated Sensing and Communication System for Vital Sign Detection.

Sensors (Basel, Switzerland)·2025
Same author

Decoding complexity: tackling the challenge of how many transcription factors regulate a plant gene.

Transcription·2025
Same author

The neural signature of methylphenidate-enhanced memory disruption in human drug addiction: a randomized clinical trial.

medRxiv : the preprint server for health sciences·2025
Same author

A Reading Range- and Frequency-Reconfigurable Antenna for Near-Field and Far-Field UHF RFID Applications.

Sensors (Basel, Switzerland)·2025

Related Experiment Video

Updated: Feb 18, 2026

Data Communication Based on MQTT in a Polymer Extrusion Process
08:15

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

3.8K

A Collaboration-Oriented M2M Messaging Mechanism for the Collaborative Automation between Machines in Future

Zhaozong Meng1, Zhipeng Wu2, John Gray3

  • 1School of Electrical and Electronic Engineering, University of Manchester, Oxford Road, Manchester M13 9PL, UK. zhaozong.meng@outlook.com.

Sensors (Basel, Switzerland)
|November 23, 2017
PubMed
Summary

This study introduces a collaboration-oriented machine-to-machine (M2M) messaging system for the Industrial Internet of Things (IIoT). It enhances industrial networks with flexible connectivity, ubiquitous messaging, and semantic interoperability for manufacturing applications.

Keywords:
collaborative automationindustrial internet of things (IIoT)industrial networkinteroperabilitymachine-to-machine (M2M)

More Related Videos

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

7.1K
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

468

Related Experiment Videos

Last Updated: Feb 18, 2026

Data Communication Based on MQTT in a Polymer Extrusion Process
08:15

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

3.8K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

7.1K
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

468

Area of Science:

  • Industrial automation
  • Machine-to-machine communication
  • Industrial Internet of Things (IIoT)

Background:

  • Machine-to-machine (M2M) communication is crucial for Industrial Internet of Things (IIoT) networks, enabling collaborative automation and intelligent optimization.
  • Manufacturing IIoT applications present unique challenges for machine communication compared to other Internet of Things (IoT) scenarios.
  • Existing M2M approaches often have technical gaps in addressing the specific requirements of industrial environments.

Purpose of the Study:

  • To address the specificities and technical gaps of M2M communication in manufacturing IIoT applications.
  • To propose a collaboration-oriented M2M (CoM2M) messaging mechanism tailored for industrial needs.
  • To enhance machine collaboration and data interoperability at both communication and semantic levels.

Main Methods:

  • Highlighting key requirements and technical gaps of M2M in industrial applications.
  • Describing a CoM2M messaging mechanism with flexible connectivity, discovery, ubiquitous messaging, and semantic interoperability.
  • Presenting designs for machine collaboration and data interoperability.
  • Illustrating application scenarios with a proof-of-concept implementation (PicknPack food packaging line).

Main Results:

  • The CoM2M messaging mechanism demonstrates suitability for production line-scale interoperability in manufacturing.
  • The proof-of-concept implementation in the PicknPack line validates the proposed methods.
  • The study presents designs for enhanced machine collaboration and data interoperability.

Conclusions:

  • The CoM2M messaging mechanism effectively addresses the challenges of M2M communication in manufacturing IIoT.
  • The proposed approach facilitates flexible connectivity, ubiquitous messaging, and semantic interoperability for industrial applications.
  • The PicknPack implementation provides practical insights into the advantages and potential issues of the CoM2M system.