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

Neural Circuits01:25

Neural Circuits

1.8K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.8K
Hedgehog Signaling Pathway02:33

Hedgehog Signaling Pathway

7.7K
The Hedgehog gene (Hh) was first discovered due to its control of the growth of disorganized, hair-like bristles phenotype in Drosophila, much like hedgehog spines. Hh plays a crucial role in the development of organs and the maintenance of homeostasis in both invertebrates and vertebrates. However, while Drosophila has only one Hh protein, mammals have multiple functional Hedgehog proteins - Sonic (Shh), Desert (Dhh), and Indian Hedgehog (Ihh). All of these homologous proteins have adapted to...
7.7K
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.3K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.3K

You might also read

Related Articles

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

Sort by
Same author

Augmentation of Human Action Datasets with Suboptimal Warping and Representative Data Samples.

Sensors (Basel, Switzerland)·2022
Same author

Recognition of Fingerspelling Sequences in Polish Sign Language Using Point Clouds Obtained from Depth Images.

Sensors (Basel, Switzerland)·2019
See all related articles

Related Experiment Video

Updated: Oct 8, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K

Extended Hierarchical Fuzzy Interpreted Petri Net.

Michał Markiewicz1, Lesław Gniewek1, Dawid Warchoł1

  • 1Department of Computer and Control Engineering, Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, W. Pola 2, 35-959 Rzeszów, Poland.

Sensors (Basel, Switzerland)
|December 28, 2021
PubMed
Summary

This study introduces hierarchical Fuzzy Interpreted Petri Nets (FIPN) using macroplaces for improved process control. The approach enhances visualization and precision in systems utilizing analogue sensors.

Keywords:
Petri netscomputer simulationcontrol systemsfuzzy netshierarchical netsinterpreted nets

More Related Videos

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.7K
Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling
10:45

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Published on: May 31, 2017

13.3K

Related Experiment Videos

Last Updated: Oct 8, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.7K
Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling
10:45

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Published on: May 31, 2017

13.3K

Area of Science:

  • Computer Science
  • Control Engineering
  • Artificial Intelligence

Background:

  • Petri Nets (PNs) offer graphical representation and formal description for sequential and concurrent control.
  • Hierarchical modeling is a key aspect of advanced Petri Net applications.
  • Fuzzy Interpreted Petri Nets (FIPN) enable direct integration of analogue sensors for process control.

Purpose of the Study:

  • To propose a novel concept and definition for hierarchical structures in Fuzzy Interpreted Petri Nets (FIPN).
  • To introduce macroplaces as a mechanism for hierarchical modeling within FIPNs.
  • To enhance process control through improved visualization and precision.

Main Methods:

  • Introduction of the macroplace concept with defined input, output, and input-output places.
  • Proposal of macroplace instance functionality and a hierarchy graph.
  • Implementation of the hierarchical FIPN concept in a computer simulator (HFIPN-SML).

Main Results:

  • Successful implementation of hierarchical Fuzzy Interpreted Petri Nets (FIPN) with macroplaces.
  • Demonstration of enhanced visualization capabilities for complex control systems.
  • Validation of more precise process control through the FIPN hierarchical approach.

Conclusions:

  • The proposed hierarchical structure for FIPN, utilizing macroplaces, offers significant advantages for process control.
  • The HFIPN-SML simulator effectively implements and demonstrates the benefits of this hierarchical approach.
  • This method provides a robust framework for integrating analogue sensors and achieving superior control outcomes.