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


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Editorial Advisory Board's Chair
William Lesso

Editor-in-Chief
Nagib C. Callaos


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The International Institute of
Informatics and Systemics

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Effect of Flow on Cultured Cell at Micro-Pattern of Ridge Lines
Haruka Hino, Shigehiro Hashimoto, Yusuke Shinozaki, Hiromi Sugimoto, Yusuke Takahashi
(pages: 1-7)

Bridging the Semantic and Lexical Webs: Concept-Validating and Hypothesis-Exploring Ontologies for the Nexus-PORTAL-DOORS System
Adam Craig, Seung-Ho Bae, Carl Taswell
(pages: 8-13)

The Learning Science through Theatre Initiative in the Context of Responsible Research and Innovation
Zacharoula Smyrnaiou, Elena Georgakopoulou, Menelaos Sotiriou, Sofoklis Sotiriou
(pages: 14-22)

Perceptions and Preferences of High School Students in STEM: A Case Study in Connecticut and Mississippi
Bin (Brenda) Zhou, Clifford Anderson, Feng Wang, Lin Li
(pages: 23-26)

A Study on the Meaning of the ‘Lifelong Learning to Be’ Implicated in the Philosophy of Nietzsche
Kwanchun Lee, Soo Yeon Choi, Un Shil Choi
(pages: 27-32)

Barriers to Social Innovation and Ways of Overcoming them in Latvia
Karine Oganisjana, Yuliya Eremina, Salome Gvatua, Benjamin Ngongo Kabwende, Ozoemena Joseph Chukwu
(pages: 33-38)

Unmanned Aerial Vehicle-Based Automobile License Plate Recognition System for Institutional Parking Lots
Julian Dasilva, Ricardo Jiménez, Roland Schiller, Sanja Zivanovic González
(pages: 39-43)

Dialectal Atlas of the Arab World - between Intention and Reality
Oleg Redkin, Olga Bernikova
(pages: 44-47)

IT Risk and Chaos Theory: Effect on the Performance of South African SMEs
Anass Bayaga, Stephen Flowerday, Liezel Cilliers
(pages: 48-53)

How to Apply the User Profile Usability Technique in the User Modelling Activity for an Adaptive Food Recommendation System for People on Special Diets
Lucrecia Llerena, Nancy Rodríguez, Pablo Gómez-Abajo, John W. Castro
(pages: 54-63)

Policies, Legislation and Regulatory Compliance Governance Impact on Strategic Management of Higher Education and Research Institutions in Latvia
Anita Straujuma, Inga Lapina, Elina Gaile-Sarkane, Modris Ozolins
(pages: 64-69)

Parallel Prediction of Stock Volatility
Priscilla Jenq, John Jenq
(pages: 70-73)

Hacking a Bridge: An Exploratory Study of Compliance-Based Information Security Management in Banking Organization
Tesleem Fagade, Theo Tryfonas
(pages: 74-80)

Improvement in the Physical and Psychological Well-Being of Persons with Spinal Cord Injuries by Means of Powered Wheelchairs Driven by Dual Power Wheels and Mobile Technologies
Yee-Pien Yang, Li-Jen Weng, Ye-Yu Yeh, Hui-Fen Mao, Ray-I. Chang
(pages: 81-87)

Data Mediation with Enterprise Level Security
Kevin E. Foltz, William R. Simpson
(pages: 88-93)


 

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

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