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

SECURITY EVALUATION IN COLLABORATIVE M-LEARNING SYSTEMS

The paper analyses the security issues related to m-learning applications. The collaborative systems are classified, emphasizing on collaborative systems from the mobile learning field. The security of informatics applic...

STATISTICAL DETERMINATION OF THE SEQUENCE AND CHRONOLOGY OF THE ERUPTION OF THE FIRST PERMANENT MOLARS AND INCISORS IN ROMANIAN CHILDREN

Teeth eruption is a dynamic, genetically dictated process which is a part of the odontogenesis and comprises all of the tooth’s movement from the bone crypt where it formed until reaching the occlusal plane and starting...

NOWCASTING ECONOMIC TIME SERIES: REAL VERSUS FINANCIAL COMMON FACTORS

In this paper we want to assess the impact of real and financial variables in nowcasting smoothed GDP. We implement the generalized dynamic factor model, on which Eurocoin indicator is based. We can assess that, during t...

Book Review on PIATA MUNCII INTRE FORMAL SI INFORMAL (LABOUR MARKET BETWEEN FORMAL AND INFORMAL) by Silvia PISICA, Valentina VASILE and Vergil VOINEAGU

National economy is functioning and generates results both in formal (“official”) area and in the informal (“unregulated”, “unofficial”, “unstructured”) area of the economy. The informal sector exists, to a higher or low...

Testing: First Step Towards Software Quality

This article’s purpose is to present the benefits of a mature approach to testing and quality activities in an engineering organization, make a case for more education with respect to software quality and testing, and pr...

Download PDF file
  • EP ID EP119204
  • DOI -
  • Views 99
  • 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