Vol. 12 No. 10 OCT 2014
Vol. 12 No. 10 OCTOBER 2014 International Journal of Computer Science and Information Security
Publication OCTOBER 2014, Volume 12 No. 10 (Download Full Journal) (Archive) (Download 2)
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Copyright © IJCSIS. This is an open access journal distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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1. Paper 30091404: New Approach in hybrid Movie Recommender Systems Using Collaborative Filtering and Content-Based Filtering Methods (pp. 1-6)
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Monireh Amini, Department of Computer Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran
Mahdi Nasiri, Computer Engineering Department, Iran University of Science and Technology, Tehran, Iran
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Abstract — Nowadays, with confronted huge volumes of data produced in the world that created this data in organizations, banks, military centers, hospitals, etc. Recommender systems are generated to deal with the problems of huge volumes of data. These systems help to users in many different fields among the massive volume of information to make the right decision. Recommender system by analyzing user behavior suggests to users appropriate services, like electronic stores. Also in today's world, the Internet provides vast amount of data to users.
But if not available effective management on aggregate data, these data will be a barrier to progress. Nowadays, with the development of information systems need before than capable of directing users towards goods and services they are desire. But if effective management on aggregate data is not available, these data will be a barrier to progress. Therefore, in this article we offer a new proposed approach by using a hybrid method. To evaluate the proposed approach we used Movie Lens standard dataset. Also we used two techniques of collaborative filtering and content based filtering. For the proposed approach we offer four models. Finally, these models compared by accuracy of prediction and classification error.
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Keywords: Recommender System, Collaborative Filtering, Content-Based Filtering, Hybrid Filtering, Spiking Neural Network
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2. Paper 30091412: Virtualization and Live Migration in VirtualBox (pp. 7-11)
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Ledina Karteri (1), Aurora Çenga (2), Igli Tafa (3), Julian Fejzaj (4)
Europian University of Tirana (1)
Polytechnic University of Tirana (2,3)
Tirana University (4)
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Abstract — Virtualization is a very efficient mechanism that has improved machines use. This technique has been implemented in many systems and it helps utilize a single physical machine to run different operating systems simultaneously. Another benefit of virtualization is Live Migration. Such feature allows us to move virtual machines to different hosts easily. In this article I will install different operating systems in my laptop and try to migrate them to another computer to share data in a short amount of time.
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Keywords: virtualization; teleportation; virtual machine; hypervisor; live migration;
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3. Paper 31081438: Study the Performance of Fountain Codes in Wireless Communication Systems (pp. 12-25)
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N. M. El-Gohary (1), F. E. Abd El-Samie (2) & M. M.Fouad (1)
(1) Department of Electronics and Communication, Faculty of Engineering, Zagazig University, Egypt.
(2) Department of Electronics and Communication, Faculty of Electronics Engineering, Menofia University, Egypt.
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Abstract - In wireless, satellite, and space communication systems reducing error is critical. High bit error rates of the wireless communication system require employing various coding methods on the data transferred. To address the large latency and degraded network throughput due to the retransmission triggered by frame loss in high speed wireless networks, the purpose of this paper is to study and investigate the performance of fountain codes that is used to encode and decode the data stream in digital communication. This solution intelligently encodes a number of redundant frames from original frames upon link loss rate so that a receiver can effectively recover lost original frames without significant retransmissions. Since then, many digital Fountain coding methods have been invented such as Tornado codes, Luby transform (LT) codes and Raptor codes.
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Keywords: wireless communication systems, fountain codes, Tornado codes, Luby transform, Raptor codes
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4. Paper 31081347: An Optimal Energy-Efficient Clustering Protocol in Wireless Sensor Networks Using Genetic Algorithm (pp. 26-30)
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Ayat Kazemi, Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Boroujerd, Iran
Ehsan akhtarkavan, Electronic and Computer Engineering, Islamic Azad University, Garmsar branch, Garmsar, Iran
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Abstract — A sensor network has many sensor nodes with limited energy. One of the important issues in these networks is the increase of the life time of the network. This paper proposes a hybrid algorithm which, acts on the network and using genetic algorithm at first stage to choose the best sensors as a cluster head and using sleep/wake up mechanism for redundant sensors in the second stage. This algorithm will balance the energy consumption in the network and improve the network life time and coverage preservation.
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Keywords-component, Wireless Sensor Network, Genetic Algorithm, Clustering, Sleep/Wakeup Mechanism, lifetime.
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