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International Journal on
Information Technology
(IREIT)
September 2013
(Vol. 1 N. 5)








    Power Protection and Management Course for an Electrical Engineering Technology Program

    by Francisco J. Perez-Pinal, Jose C. Nuñez-Perez, Ismael Araujo-Vargas

    Vol. 1. n. 5, pp. 278-284

     

    Abstract - This paper reports a new course in power protection and management course for an Electrical Engineering Technology Program at Mohawk College. Motivations, fundamentals and practical recommendations based on inquiry-based model are also covered.

    Copyright © 2013 Praise Worthy Prize S.r.l. - All rights reserved

     

    Keywords: Distributed Generation, Smart Grid, Power Protection.

     

    Development of Machine Learning Models to Predict Student Performance in Computer Literacy Courses

    by George Anderson, Oduronke T. Eyitayo

    Vol. 1. n. 5, pp. 285-291

     

    Abstract - This paper reports on a study carried out to build machine learning models for the purpose of predicting student performance in a second course of a two-course sequence, based on performance in various aspects of the first course’s exam. Detailed data is collected from the first course’s exam, which is a multiple choice exam, using an Optical Mark Recognition scanner. This data is then pre-processed and used to build machine learning models. Several machine learning models are experimented with, yielding excellent results for predicting Pass or Fail (greater than 93% accuracy), validating our hypothesis that our approach can be used to help students with preventative measures in order to increase pass rates in the courses concerned.

    Copyright © 2013 Praise Worthy Prize S.r.l. - All rights reserved

     

    Keywords: Computational University Administration, Educational Data Mining, Machine Learning, Student Performance Prediction.

     

    The Use of GIS in Tourism Supply and WEB Portal Development

    by Verka Jovanovic, Angelina Njegus

    Vol. 1. n. 5, pp. 292-299

     

    Abstract - The tourism industry has widely adopted Geographic Information Systems (GIS) in order to improve service quality, visibility and tourists' experience. The paper demonstrates that GIS is becoming increasingly critical for both the tourism demand and supply. The convergence between the services of Web 3.0 generation, along with the social networking sites, mobile applications, and GIS that operate in Cloud Computing business environment has set a new trend in the IT field. However, the growth of spatial data availability has provided a strong stimulus to the development and usage of georeferenced web applications in tourism. The use case model for B2B2C Destination Management System with interactive tourist maps is represented.

    Copyright © 2013 Praise Worthy Prize S.r.l. - All rights reserved

     

    Keywords: Geographic Information Systems, Destination Management Systems, Tourism.

     

    Managing Software Project Risks (Implementation Phase) with Proposed Stepwise Regression Analysis Techniques

    by Abdelrafe Elzamly, Burairah Hussin

    Vol. 1. n. 5, pp. 300-312

     

    Abstract - Regardless how much effort we put for the success of software projects, many software projects have very high failure rate and risks are everywhere in life. Risk is not always avoidable, but it is controllable. The aim of this paper is to present new techniques by which we can study the impact of different risk management techniques and different risk factors on software development projects. The new technique uses the stepwise regression to managing the risks in a software project and reducing risk with software process improvement. Top ten software risk factors (Implementation phase) and thirty control factors were presented to respondents. The results show that all risks in software projects were important in software project manager perspective, whereas all controls are used most of time, and often. These tests were performed using regression analysis to compare the controls to each of the risk factors to determine if they are effective in mitigating the occurrence of each risk factor and selecting best model. We referred the risk management techniques were mitigated on ten top software risk factors in Table XLVI. The study has been conducted on a group of software project managers. Successful project risk management will greatly improve the probability of project success.

    Copyright © 2013 Praise Worthy Prize S.r.l. - All rights reserved

     

    Keywords: Software Project Management, Risk Management, Software Risk Factors, Implementation Phase, Risk Management Techniques, Stepwise Regression Analysis Techniques.

     







 
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