International Journal of Computers


ISSN: 1998-4308
Volume 13, 2019

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of NAUN Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

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Volume 13, 2019


Title of the Paper: Business Intelligence in the World of IoT

 

Authors: Hanaa Mohammad Said, Abdel-Badeeh M. Salem

Pages: 28-32

Abstract: A rapidly developing area in industry is the Internet of Things (IoT). In recent years numerous IoT research and application projects have been done in a joint industry university consortium or by universities. However, an important question to be further addressed is on the value creation by IoT industry applications where these applications in the sense of this paper are solutions using IoT technologies to: improve industrial manufacturing processes, create new service or supervision means for industrial installations, enable new and efficient ways to offer an optimized infrastructure, operate production plants, reduce operational cost or improve human safety in industrial areas. The present paper brings together experts from industry, academia and research offering: a view on the IoT application in industrial environments, expected evolution of IoT technology, the challenges, and the use in future factories, on connected and holistic processes. This paper is intended to contribute to an IoT supported paradigm change in industrial service, manufacturing, and over life sustainable industrial activities, how data mining methods, tools for data warehouse, and learning algorithms can be used in the context of the Internet of the Things(IoT), the decision-making process Business intelligence, Data warehousing & Data Mining, Exploration of data (laboratory), Preparation of data, Series, Regression, Clustering, Classification, Clustering and other Examples: Marketing models, logistics and production models, data envelopment analysis and the study of methods, algorithms and tools and their implementation in real systems.


Title of the Paper: Sampling - Reconstruction Algorithms of Gaussian Narrow- Band Process Realizations with an Arbitrary Number of Samples

 

Authors: V. Kazakov, F. Mendoza

Pages: 23-27

Abstract: In contrast to the well-known method of describing the sampling-recovery algorithm (SRA) of narrow-band processes, the method based on the conditional mean rule is used. This method provides the possibility of obtaining the optimal SRA when the number and location of samples are arbitrary. The basic functions (non-SINC functions) and the error recovery functions of the SRA realizations of some narrow-band Gaussian processes are investigated.


Title of the Paper: Power Management for Energy Harvesting over LEACH Protocol

 

Authors: Moner Alsader, Al Savvaris

Pages: 18-22

Abstract: Wireless Sensor Network devices are characterized by resource constraints such as computational power, memory and energy. Since these devices are powered by batteries, it may not be possible to replace batteries for recharging and therefore, energy harvesting techniques such as Piezoelectric and Thermoelectric can be used if necessary so that the lifetime of these devices can be extended. This paper presents power management for energy harvesting over LEACH protocol. Experimental results based on the NS-3 simulation platform has shown that Low Energy Adaptive Clustering Hierarchy (LEACH) routing protocol improves the energy efficiency for Piezoelectric energy harvesting in aircraft compared to that of direct simulation.


Title of the Paper: Enhanced Performance of Developed Two-Step (Hybrid/PMU) Linear State Estimator Model

 

Authors: Shaymaa M. Khamis, Nabil H. Abbasy

Pages: 11-17

Abstract: This paper proposes a novel hybrid state estimation method. In traditional EMS (Energy Management System), the ordinary hybrid state estimation technique employs both conventional measurements from the SCADA (Supervisory Control and Data Acquisition) and PMU (Phasor Measurements Unit) measurements in the state estimation software. Alternatively PMU measurements can be added through a post-processing or pre-processing step with the results of traditional state estimator to obtain the final estimation results. While this paper presents a new two-step (hybrid/PMU) algorithm where the first step adopts a hybrid state estimation SCADA/PMU and the second step is a linear state estimation comprises PMU measurements and the state vector resulting from the first step; consequently a double hybridization is achieved. Alexandria (330 km north Cairo, Egypt) 22 -bus system is used as case study. The simulation results demonstrate that the proposed algorithm enhances the precision and accuracy of state estimation greatly because the PMU measurements hybridize in two successively steps. Better dynamic behavior as compared with other state estimators is obtained.


Title of the Paper: A Review of Commutation Problem in Matrix Converter

 

Authors: Farshad Soltanian

Pages: 1-10

Abstract: Matrix converters have attractive features including their high density power and bidirectional power flow. One of the challenges of matrix converter is commutation problem. Commutation problem in matrix converter is more complex than other common converters such as AC-DC-AC converters because there isn't any natural free – wheeling path in matrix converters. In this article, different commutation methods have been considered and compared with each other such as current sign based commutation which is a base method in these converters, voltage based commutation that decreases commutation time and improved the waveforms ,and commutation circuits that it has different circuits itself that they don't need to determine the sign of current. The simulation of two methods have been proposed and compared with each other.