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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.0K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.0K
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

442
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
442
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

5.2K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
5.2K
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

2.0K
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
2.0K
Mechanical Systems01:22

Mechanical Systems

464
Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
464
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

1.1K
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
1.1K

You might also read

Related Articles

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

Sort by
Same author

JOINclusion: A serious mobile game for promoting ethnocultural empathy in schools.

The British journal of developmental psychology·2026
Same author

Leveraging technologies for data management and sharing to foster collaboration and implement data spaces.

Data in brief·2026
Same author

Dataset for multi-perspective traffic video analysis.

Scientific data·2026
Same author

A Survey on the Computing Continuum and Meta-Operating Systems: Perspectives, Architectures, Outcomes, and Open Challenges.

Sensors (Basel, Switzerland)·2026
Same author

Reproducing Cold-Chain Conditions in Real Time Using a Controlled Peltier-Based Climate System.

Sensors (Basel, Switzerland)·2025
Same author

Source-Free Model Transferability Assessment for Smart Surveillance via Randomly Initialized Networks.

Sensors (Basel, Switzerland)·2025

Related Experiment Video

Updated: Dec 7, 2025

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

3.7K

An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural

Panagiotis Trakadas1, Pieter Simoens2, Panagiotis Gkonis1

  • 1General Department, National and Kapodistrian University of Athens, Sterea Ellada, 34400 Dirfies Messapies, Greece.

Sensors (Basel, Switzerland)
|September 29, 2020
PubMed
Summary

This study introduces a holistic approach for integrating artificial intelligence (AI) in manufacturing, fostering collaboration across sites for enhanced business intelligence and secure operations. It addresses the current lack of AI integration in Industry 4.0 systems.

Keywords:
IoT manufacturingartificial intelligenceindustry 4.0sensing-based IIoTsmart sensing

More Related Videos

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.0K
High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
06:11

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

Published on: September 26, 2025

368

Related Experiment Videos

Last Updated: Dec 7, 2025

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

3.7K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.0K
High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
06:11

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

Published on: September 26, 2025

368

Area of Science:

  • Manufacturing Technology
  • Artificial Intelligence
  • Industry 4.0

Background:

  • Industry 4.0 enables efficient production through data analytics, but AI integration remains fragmented.
  • Current data-driven decisions are isolated, limiting overall manufacturing system optimization.
  • A gap exists in fully integrating artificial intelligence across all manufacturing processes.

Purpose of the Study:

  • To present a holistic integration of artificial intelligence (AI) in manufacturing through enhanced collaboration.
  • To promote AI adoption by optimizing business intelligence, incorporating human-in-the-loop systems, and enabling secure federation.
  • To address challenges in AI implementation within manufacturing contexts.

Main Methods:

  • Proposing an architectural approach built on three technical pillars.
  • Extending existing layers within the Reference Architectural Model for Industry 4.0.
  • Defining new layers for human-in-the-loop collaboration and secure federation, incorporating AI-powered security mechanisms.

Main Results:

  • An architectural approach for holistic AI integration in manufacturing.
  • Enhanced collaboration frameworks including human-in-the-loop and secure federation.
  • Discussion of system implementation, industrial applications, and business impacts.

Conclusions:

  • The proposed architecture facilitates a more integrated and collaborative use of AI in manufacturing.
  • This approach enhances business intelligence, operational efficiency, and security across manufacturing sites.
  • It provides a foundation for broader AI adoption and impact within Industry 4.0 environments.