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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Are We Meeting Pedagogic Requirements? – The Quadratic Equation
Russell Jay Hendel
(pages: 1-7)

Facilitating Effective Student Participation in an Online Environment
Nanda van der Stap, Risa Blair
(pages: 8-11)

Virtual Global Classrooms without Walls: Collaborative Opportunities for Higher Learning Engagement
Cathy MacDonald, Debra Sheppard-LeMoine
(pages: 12-16)

Augmented Reality as Visual Communication for People with ASD
Esteban Menéndez, María Daniela López de Luise
(pages: 17-21)

Study of Race Condition: A Privilege Escalation Vulnerability
Tanjila Farah, Rashed Shelim, Moniruz Zaman, Delwar Alam
(pages: 22-26)

From the Lab to the Field: 3D Technology Supporting Study and Conservation Processes on Ancient Egyptian Artefacts
Paola Buscaglia, Elena Biondi, Alessandro Bovero, Tomasso Quirino
(pages: 27-32)

Digital Forensics Compute Cluster (DFORC2) – A New High Speed Distributed Computing Capability for Digital Forensics
Daniel Gonzales, Zev Winkelman, Trung Tran, Ricardo Sanchez, Dulani Woods, John Hollywood
(pages: 33-38)

Proposal of a Bus Location System Based on Participatory Sensing with BLE Devices and Smartphones
Katsuhiro Naito, Katsuyuki Tanaka
(pages: 39-44)

Technical Change and Employment in an Emerging Economy
Humberto Merritt
(pages: 45-53)

Interpretation of the Results of a Case Study about Impacts and Influences of Exogenous Variables in the Planning of Chronogram and Budget in Software Projects
Altino José Mentzingen de Moraes
(pages: 54-59)

Flipped Classroom – A Flexible Way of Teaching Technology Usage for Diagnostics in the Medical Subdomain ENT
Walter Koch, Jochen Schachenreiter, Klaus Vogt, Gerda Koch
(pages: 60-64)

ERP Selection: The Lifeblood of an Organization
Desmond (Tres) Bishop
(pages: 65-69)

Proposing an Education System to Judge the Necessity of Nuclear Power in Japan
Ariyoshi Kusumi
(pages: 70-74)

Biometric Encryption System for Increased Security
Ranjith Jayapal, Pramod Govindan
(pages: 75-80)

BIM as a Structural Safety Study Tool in Case of Fire - BIMSCIP
Marcelo Franco Porto, José Ricardo Queiroz Franco, Luiza Giori Barcellos Correa, Lucas Vinicius Ribeiro Alves, Renata Maria Abrantes Baracho
(pages: 81-86)

Evaluating the Construct Validity of Basic Science Curriculum Assessment Instrument for Critical Thinking: A Case-Study
Chau-Kuang Chen, Adriana Marie Horner, Michelle Scott, Stephanie C. McClure
(pages: 87-92)

The Outer Banks Study – Physio-Chemical Parameters for Water Quality Testing/Professional Development Program for Teachers
Joseph Stringer, Timothy Bowman, Keith Vinson, Catherine Warnecke, Nora Lewis, William Slattery, Suzanne K. Lunsford
(pages: 93-97)


 

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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