Journal of
Systemics, Cybernetics and Informatics
HOME   |   CURRENT ISSUE   |   PAST ISSUES   |   RELATED PUBLICATIONS   |   SEARCH     CONTACT US
 



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.

Indexed by
DOAJ (Directory of Open Access Journals)Benefits of supplying DOAJ with metadata:
  • DOAJ's statistics show more than 900 000 page views and 300 000 unique visitors a month to DOAJ from all over the world.
  • Many aggregators, databases, libraries, publishers and search portals collect our free metadata and include it in their products. Examples are Scopus, Serial Solutions and EBSCO.
  • DOAJ is OAI compliant and once an article is in DOAJ, it is automatically harvestable.
  • DOAJ is OpenURL compliant and once an article is in DOAJ, it is automatically linkable.
  • Over 95% of the DOAJ Publisher community said that DOAJ is important for increasing their journal's visibility.
  • DOAJ is often cited as a source of quality, open access journals in research and scholarly publishing circles.
JSCI Supplies DOAJ with Meta Data
, Academic Journals Database, and Google Scholar


Listed in
Cabell Directory of Publishing Opportunities and in Ulrich’s Periodical Directory


Published by
The International Institute of Informatics and Cybernetics


Re-Published in
Academia.edu
(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
 

Editorial Advisory Board

Quality Assurance

Editors

Journal's Reviewers
Call for Special Articles
 

Description and Aims

Submission of Articles

Areas and Subareas

Information to Contributors

Editorial Peer Review Methodology

Integrating Reviewing Processes


How Does Logical Dynamics Assist Interdisciplinary Education and Research in Addressing Cognitive Challenges?
Mengqin Ning, Jiahong Guo
(pages: 1-6)

Inter-Corrective Meta-Dialogue on Constructive Impact of Trans-disciplinary Communication in Modern Education
Vinod Kumar Verma
(pages: 7-9)

Intergenerational Learning for Older and Younger Employees: What Should Be Done and Should Not?
Gita Aulia Nurani, Ya-Hui Lee
(pages: 10-15)

On the Ontological Notion of Education
Jeremy Horne
(pages: 16-24)

Research-Based Learning in Intergenerational Dialogue and Its Relationship to Education
Sonja Ehret
(pages: 25-29)

Role-Playing in Education: An Experiential Learning Framework for Collaborative Co-design
Cristo Leon, James Lipuma, Sirimuvva Pathikonda, Rafael Arturo Llaca Reyes
(pages: 30-38)

The Emergent Role of Artificial Intelligence as Tool in Conducting Academic Research
Bilquis Ferdousi
(pages: 39-46)

The Impact of Cybernetic Relationships Between Education and Work-Based Learning
Birgit Oberer, Alptekin Erkollar
(pages: 47-51)

The Notions of Education and Research
Nagib Callaos, Jeremy Horne
(pages: 52-62)

Towards Sustainable Legal Education Reform: Interdisciplinary and Transdisciplinary Approaches in Albania's Justice System
Adrian Leka, Brunilda Haxhiu
(pages: 63-67)

Transdisciplinary Research and the Gift Economy
Teresa Henkle Langness
(pages: 68-75)


 

Abstracts

 


ABSTRACT


Mathematical Relationship Between Particle Reynolds Number and Ripple Factor using Tapi River Data, India.

S. M. Yadav, B. K. Samtani, K. A. Chauhan


The computation of bed load allows for the fact that only part of the shear stress is used for transport of sediments and some of the shear stress is wasted in overcoming the resistance due to bed forms therefore the total shear stress developed in the open channel requires correction in the form of correction factor called ripple factor. Different methods have been followed for correcting the actual shear stress in order to compute the sediment load. Correction factors are based on particular characteristics grain size of particle. In the present paper the ripple factor has been obtained for non uniform bed material considering the various variables like discharge, hydraulic mean depth, flow velocity, bed slope, average diameter of particle etc. by collecting the field data of Tapi river for 15 years for a particular gauging station. The ripple factor is obtained using Meyer Peter and Muller formula, Einstein Formula, Kalinske’s formula, Du Boy’s formula, Shield’s formula, Bagnold’s formula, average of six formulae and multiple regression analysis. The variation of ripple factor with particle Reynolds Number is studied. The ripple factor obtained by different approaches are further analyzed using Origin software and carrying out multiple regression on the 15 years of data with more than 10 parameters, ripple factor by multiple regression has been obtained. These values are further analysed and giving statistical mean to the parameters a relationship of power form has been developed. The ripple factor increases with the increase in the value of Particle Reynolds number. The large deviation is observed in case of Kalinske’s approach when compare with other approaches

Full Text