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All Journal ComEngApp : Computer Engineering and Applications Journal
Mohsen Askari
Islamic Azad University
Computer Science & IT Engineering

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Journal : comengapp computer engineering and applications journal

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Predicting Academic Performance with Applying Data Mining Techniques (Generalizing the results of two Different Case Studies) Rozita Jamili Oskouei; Mohsen Askari
Computer Engineering and Applications Journal Vol 3 No 2 (2014)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (417.127 KB) | DOI: 10.18495/comengapp.v3i2.81

Abstract

Several research works are attempted to predict students academic performance and assess  the  evaluating students knowledge  or  detecting  students’  weakness and probability of failure in final semester examinations. However, several factors affect the performance of students in different countries or even in different states of one country. Therefore, understanding these factors and analyzing the effects of each one of those factors in each country, is necessary for improving instructors’ decisions in selecting   the best teaching method for helping weak students or   increasing performance  of  other  students. This study is motivated  to  study  the  students’ academic performance in high  school  and  bachelor  degree  studies  in  Iran and comparing these analysis results with the similar study’s results in India.
An Improved Multi-Cycle Deadlock Detection and Resolution Algorithm for Distributed Systems Mohsen Askari; Rozita Jamili Oskouei
Computer Engineering and Applications Journal Vol 3 No 3 (2014)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (974.61 KB) | DOI: 10.18495/comengapp.v3i3.89

Abstract

Distributed systems exhibit a high degree of resource and data sharing creating a state in which deadlocks might make their appearance. Since deadlock detection and resolution  is one of the important concerns in distributed systems which lead to minimizing available resources, therefore instigating   the  system  throughput decrease.  Our  proposed algorithm detects and resolves  the  multi-cycle  deadlocks, whether the initiator is involved in the deadlock cycle directly or indirectly. Also the chance  of  phantom  deadlock  detection is minimized. This  algorithm  not  only  can manage the simultaneous execution of it but also detects the multi-cycle deadlocks in  the  distributed  systems. Our  algorithm introduces a modified probe and victim message  structure. Moreover,  no  extra  storage  required  to  store  prob message  in each node which is known as memory overhead in the distributed systems.
Co-Authors Rozita Jamili Oskouei