Structural Identification and Comparison of Intelligent Mobile Learning Environment

Journal Title: Journal of Applied Quantitative Methods - Year 2007, Vol 2, Issue 4

Abstract

This paper proposes a methodology using graph theory, matrix algebra and permanent function to compare different architecture (structure) design of intelligent mobile learning environment. The current work deals with the development/selection of optimum architecture (structural) model of iMLE. This can be done using the criterion as discussed in the paper.

Authors and Affiliations

Nitin UPADHYAY, Vishnu Prakash AGARWAL

Keywords

Related Articles

Research about Implementing E-Procord – New Medical and Modeling Approaches in It&C Age Applied on Cardiovascular Profile Evaluation at Molecular Level

This paper offers a new homogeneous approach and intends to provide a starting model with implemented elements useful in medicine and national health policies proposals. The final model will be entitled e-ProCord and it...

The Empirical Analysis of the Effects of Economic Growth and Exchange Rate on Current Account Deficit: Romania and Turkey Samples

The aim of this study is to analyse the effects of economic growth and real effective exchange rate on current account deficit for Romania and Turkey using Structural Vector Autoregressive Analysis (SVAR). For this purpo...

Test Power in Comparison Difference between Two Independent Proportions

In this study, the effect of population proportion difference (effect size) and the relation between sample sizes on test power in comparing two independent proportions were investigated. At the end of 50 000 simulation...

A Model for Evaluating the Software Reliability Level

The COTS utilization in the software development is one of the nowadays software production characteristics. This paper proposes a generic model for evaluating a software reliability level. The model can be, also, used t...

Productivity Assessment and Improvement Measurement of Decision Making Units - An Application for Ranking Cities in Israel

In this paper we will demonstrate how productivity and improvement rate of urban organizational units (called also Decision Making Units - DMU's) may be assessed when measured along several time periods. The assessment a...

Download PDF file
  • EP ID EP119204
  • DOI -
  • Views 116
  • Downloads 0

How To Cite

Nitin UPADHYAY, Vishnu Prakash AGARWAL (2007). Structural Identification and Comparison of Intelligent Mobile Learning Environment. Journal of Applied Quantitative Methods, 2(4), 363-374. https://europub.co.uk./articles/-A-119204