Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.

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Published by
The International Institute of Informatics and Cybernetics


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(A Community of about 40.000.000 Academics)


Honorary Editorial Advisory Board's Chair
William Lesso (1931-2015)

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org
 

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Quality Assurance

Editors

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Call for Special Articles
 

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Integrating Reviewing Processes


Utilization of Artificial Intelligence by Students in Interdisciplinary Field of Biomedical Engineering
Shigehiro Hashimoto
(pages: 1-5)

Transdisciplinary Applications of Data Visualization and Data Mining Techniques as Represented for Human Diseases
Richard S. Segall
(pages: 6-15)

Beyond Status Quo: Why is Transdisciplinary Communication Instrumental in Innovation?
James Lipuma, Cristo Leon
(pages: 16-20)

How We Can Locate Validatable Foundations of Life Themes
Jeremy Horne
(pages: 21-32)

Bringing Discipline into Transdisciplinary Communications -The ISO 56000 Family of Innovation Standards-
Rick Fernandez, William Swart
(pages: 33-39)

To AI Is Human: How AI Tools with Their Imperfections Enhance Learning
Martin Cwiakala
(pages: 40-46)

Knowledge, Learning and Transdisciplinary Communication in the Evolution of the Contemporary World
Rita Micarelli, Giorgio Pizziolo
(pages: 47-52)

Human Complexity vs. Machine Linearity: Tug-of-War Between Two Realities Coexisting in Precarious Balance
Paolo Barile, Clara Bassano, Paolo Piciocchi
(pages: 53-62)

A Cybernetic Metric Approach to Course Preparation
Russell Jay Hendel
(pages: 63-70)

The Impact of Artificial Intelligence on Education
John Jenq
(pages: 71-76)

Bridging the Gap: Harnessing the Power of Machine Learning and Big Data for Media Research
Li-jing Arthur Chang
(pages: 77-84)

Image Processing, Computer Vision, Data Visualization, and Data Mining for Transdisciplinary Visual Communication: What Are the Differences and Which Should or Could You Use?
Richard S. Segall
(pages: 85-92)

Identification – The Essence of Education
Jeremy Horne
(pages: 93-99)

The Greek-Roman Theatre in the Mediterranean Area
Maria Rosaria D’acierno Canonici Cammino
(pages: 100-108)

Examination of AI and Conventional Teaching Approaches in Cultivating Critical Thinking Skills in High School Students
Luis Castillo
(pages: 109-112)

Thoughts, Labyrinths, and Torii
Maurício Vieira Kritz
(pages: 113-119)

Can Two Human Intelligences (HIs or Noes) and Two Artificial Intelligences (AIs) Get Involved in Interlinguistic Communication? – A Transdisciplinary Quest
Ekaterini Nikolarea
(pages: 120-128)


 

Abstracts

 


ABSTRACT


Comparing the Solution of the Navier-Stokes Equations Using a Fixed Point Iterative Method and Using COMSOL Multiphysics

Blanca Bermúdez Juárez, Beatriz Bonilla Capilla, José David Alanis Urquieta, Alejandro Rangel Huerta, Wuiyebaldo Fermín Guerrero Sanchez


In this paper, we compare the solutions for the Navier-Stokes equations with moderate and very high Reynolds numbers obtained using a Fixed Point Iterative Method with those obtained using COMSOL Multiphysics. Despite the advantages of COMSOL, we want to show that our results, using a Fixed Point Iterative method agree as much as possible, with those obtained with COMSOL. Results for viscous incompressible flows in 2D are presented, using the Stream Function-vorticity formulation of the Navier-Stokes equations. The Fixed point Iterative Method uses Finite Differences and a uniform mesh; COMSOL uses the Finite Element Method and the formulation in primitive variables and the mesh is refined in some places; streamline and crosswind diffusion are also used. Results are reported, in the case of the lid-driven cavity problem for Reynolds numbers in the range of 5000 ≤ Re ≤ 100000.

As the Reynolds number increases, the time and the step mesh have to be refined, both for time and space in order to capture the fast dynamics of the flow and numerically, because of stability reasons. The advantages of our code are: it is “transparent” and easily modifiable, so, it can be used for solving other problems. We are looking forward to parallelize it.

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