Mohamad Aizi Salamat
Universiti Tun Hussein Onn Malaysia

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Pattern Analysis of Goals Scored in Malaysia Super League 2015 Nazim Razali; Aida Mustapha; Filipe Manuel Clemente; Md Fauzi Ahmad; Mohamad Aizi Salamat
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp718-724

Abstract

This paper is set to study the pattern of goals scored across 132 matches in 2015 Malaysian Super League (MSL). Despite of well-known researches in European football, no information in Malaysian football teams has been done consistently. To identify the patterns, this research focuses on goals scored based on timing that includes scoring frequency, the impact of first goal achieved by team towards the final match outcome, as well as the impact of having home advantage for matches during MSL 2015.  The findings of this paper will provide useful information on MSL besides helping coaches with fresh insight for creating effective training and tactical plan as the time progressed during match. At the same time, players will also be more prepared for a consistent performance especially when training for matches as the visiting teams.
Concept of minimizing the response time for reducing dynamic data redundancy in cloud computing Wan Nurazieelin Wan Abd Manan; Mohamad Aizi Salamat
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp1597-1602

Abstract

Reduction of dynamic data redundancy in cloud computing is one of the best ways to maintain the storage capacity from being fully utilized. Cloud storage is a part of cloud computing technology which holds a high demand in any organization for reducing the cost of purchasing and maintaining storage infrastructures. Increase in the number of users will require a larger storage capacity for storing their data. Reduction of dynamic data redundancy allows service providers to be energy savvy and minimize maintenance cost. Recent researches focus more on static data nature despite its limited capability as compared to dynamic data characteristic in cloud storage. Therefore, this paper theoretically compares various techniques for reduction of redundant dynamic data in cloud computing and suggests the best technique for completing the task in terms of response time.