European Journal of Electrical Engineering and Computer Science <table width="80%" cellpadding="10" align="center"> <tbody> <tr> <td rowspan="4" valign="top" width="20%"><img src="/public/site/images/zaratushtra/dergi_kapak2.jpg" alt="jets" align="left" border="0" hspace="10"> <button style="background: #10C9F5; cursor: pointer; font-size: 15px; font-style: bold; text-align: center; color: white; margin: 5px; padding: 5px 5px 5px 5px; border-radius: 15px; border: 2px solid #0D0A0A; width: 275px;" type="button"><strong>DOI</strong> : 10.240818/EJECE</button> <button style="background: #10C9F5; cursor: pointer; font-size: 15px; font-style: bold; text-align: center; color: white; margin: 5px; padding: 5px 5px 5px 5px; border-radius: 15px; border: 2px solid #0D0A0A; width: 275px;" type="button"><strong>ISSN</strong> : 2506-9853</button> <button style="background: #10C9F5; cursor: pointer; font-size: 15px; font-style: bold; text-align: center; color: white; margin: 5px; padding: 5px 5px 5px 5px; border-radius: 15px; border: 2px solid #0D0A0A; width: 275px;" type="button"><strong>Impact Factor</strong> : 0,69</button> <button style="background: #10C9F5; cursor: pointer; font-size: 15px; font-style: bold; text-align: center; color: white; margin: 5px; padding: 5px 5px 5px 5px; border-radius: 15px; border: 2px solid #0D0A0A; width: 275px;" type="button"><strong>Publication Frequency:</strong> Bimonthly</button> <button style="background: #10C9F5; cursor: pointer; font-size: 15px; font-style: bold; text-align: center; color: white; margin: 5px; padding: 5px 5px 5px 5px; border-radius: 15px; border: 2px solid #0D0A0A; width: 275px;" type="button"><strong>Country of Origin:</strong> Belgium</button></td> <td align="right" valign="bottom" width="20%" height="70px">Â&nbsp;<img src="/public/site/images/zaratushtra/new10_e0.gif" alt="gif" border="0"></td> <td align="left" valign="bottom" height="125px"><button style="background: #A2E3FF; cursor: pointer; font-size: 15px; font-style: bold; text-align: center; color: blue; padding: 8px 16px; border-radius: 10px; border: 2px solid #4CAF50; width: 300px;" type="button">CALL FOR PAPER -VOL. 2/ ISSUE 7, 2018</button></td> </tr> <tr> <td rowspan="3" align="right" valign="top" width="20%">Â&nbsp;</td> <td align="left" valign="top" height="75px"><button style="background: #A2E3FF; cursor: pointer; font-size: 15px; font-style: bold; text-align: center; color: blue; padding: 8px 16px; border-radius: 10px; border: 2px solid #4CAF50; width: 300px;" type="button">SUBMIT YOUR PAPER FOR PEER REVIEW</button></td> </tr> <tr> <td align="left" valign="top"> <p style="font-size: 17px; margin: 6px;">SubmitÂ&nbsp;<a href="/index.php/ejece/user/register"><span style="text-decoration: underline;"><strong>Online</strong></span></a>Â&nbsp;or byÂ&nbsp;<span style="text-decoration: underline;"><a href=""><strong>E-mail</strong></a></span> to<br>Â&nbsp;<a href=""></a></p> </td> </tr> </tbody> </table> <table style="width: 100%;" cellpadding="7"> <tbody> <tr> <td>Â&nbsp; <iframe src="" width="450" height="250" frameborder="0"></iframe></td> <td valign="top" bgcolor="FAFAFA"> <p><span style="color: blue;">Â&nbsp;<strong><span style="font-size: 140%; color: blue;"> â–ºÂ&nbsp;</span> <span style="font-size: 140%; color: blue; text-decoration: underline;">What does EJECE do</span></strong></span> <strong><span style="font-size: 140%; color: blue;"> ?</span></strong><strong><em>Â&nbsp;</em></strong></p> <p><strong>European Journal of ElectricalÂ&nbsp;<strong>Engineering</strong> and Computer Science</strong>Â&nbsp;(EJECE) is a peer-reviewedÂ&nbsp;international journal publishes <strong>bimonthly</strong>Â&nbsp;full-length state-of-the-artÂ&nbsp;research papers, reviews, case studies related to <strong>all areas of <a href="/index.php/ejece/about/editorialPolicies#focusAndScope">Electrical Engineering and Computer Science</a></strong>.Â&nbsp;</p> <p>All submitted articles:</p> <ul> <li class="show">must be <strong>original</strong></li> <li class="show">must be<strong> previously unpublished research results</strong></li> <li class="show">must be <strong>experimental or theoretical</strong></li> <li class="show">and will be <strong>peer-reviewed</strong></li> <li class="show">may not be <strong>considered for publication elsewhere at any time during the review period</strong></li> </ul> <p><strong>Â&nbsp;</strong>EJECE is published by<strong>Â&nbsp;<a href="">European Open Access Publishing (EUROPA Publishing)</a></strong>Â&nbsp;</p> </td> </tr> </tbody> </table> <table style="width: 100%;" cellpadding="3"> <tbody> <tr> <td valign="top" bgcolor="FAFAFA"> <p><strong>Â&nbsp; Â&nbsp; Â&nbsp;<span style="font-size: 140%; color: blue;">â–ºÂ&nbsp;<span style="text-decoration: underline;">How do we do it</span></span> <span style="font-size: 140%; color: blue;"> ?</span>Â&nbsp;Â&nbsp;</strong>Â&nbsp;</p> <p><strong>Open Access Policy</strong><br><br>EJECE provides immediate open access to its content on the principle that making research freely available after publication on the journal website to the public supports a greater global exchange of knowledge.</p> <p><img src="/public/site/images/zaratushtra/open_access.jpg" alt=""></p> <hr align="left" width="250px"> <p><strong>Zero Tolerance for PlagiarismÂ&nbsp;</strong></p> <p>EJECEhas a policy of “Zero Tolerance on the Plagiarism”. We check the plagiarism issue through two methods: reviewer check and plagiarism prevention tool (</p> <p>All submissions will be checked by plagiarism prevention software before being sent to reviewers.</p> <p>Â&nbsp;<img src="/public/site/images/zaratushtra/no_plagiarism.jpg" alt=""></p> <hr align="left" width="250px"> <p><strong>Digital Archiving PolicyÂ&nbsp;</strong></p> <p>EJECEuses LOCKSS system as digital archiving policy. LOCKSS ensures the long-term survival of Web-based scholarly publications. Namely, your publication will remain digitally available forever for free under Creative Commons License.</p> <p><img src="/public/site/images/zaratushtra/clockss_lockss.png" alt=""></p> <hr align="left" width="250px"> <p>Â&nbsp;Â&nbsp;<strong>IndexingÂ&nbsp;</strong></p> <p><br><span class="auto-style5">All EJECE content is indexed withÂ&nbsp;<a href="">CrossRef</a>Â&nbsp;and assigned aÂ&nbsp;<a href="">Digital Object Identifier (DOI)</a>. This means that all of our references are made available so that citations can be tracked by the publishing community.</span></p> <p><img src="/public/site/images/zaratushtra/indexing_policy21.jpg" alt=""></p> <hr align="left" width="250px"> <p>Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp; Â&nbsp;Â&nbsp;</p> <p><strong>Paper Selection and Publishing Process</strong></p> <p><em>a) Submission Acknowledgement</em></p> <p>When you submit a manuscript online, you will receive a submission acknowledgement letter sent by the online system automatically. For email submission, the editor or editorial assistant sends an e-mail confirmation to the submission’s author within one to three working days. If you fail to receive this confirmation, please check your bulk email box or contact the editorial assistant.</p> <p><em>b) Basic Review</em></p> <p>The editor or editorial assistant determines whether the manuscript fits the journal’s focus and scope. Next, a check for the similarity rate is done using CrossCheck, powered by iThenticate. Any manuscripts out of the journal’s scope or containing plagiarism, including self-plagiarism, are rejected.</p> <p><em>c) Peer Review</em></p> <p>We use a double-blind system for peer review; both reviewers’ and authors’ identities remain anonymousÂ&nbsp;to authors. The paper will be peer-reviewed by two or three experts;Â&nbsp;one is an editorial staff and the other two are external reviewers.Â&nbsp;The review process may take two to four weeks.</p> <p><em>d) DecisionÂ&nbsp;</em></p> <p>The decisionÂ&nbsp;(Acception, Revision or Decline)Â&nbsp;is based on the suggestions of reviewers. If there is a different opinion between reviewers, the editor will arrive to a balanced decision based on all the comments, or a second round of peer-reviewing may be initiated.<span style="background-color: #ffffff;">Â&nbsp;</span></p> <p><em>e) Publication Fee</em></p> <p>In order to start copyediting process, <a href="/index.php/ejece/about/submissions#authorFees">Paper Publication Fee</a>Â&nbsp;must be paid.Â&nbsp;</p> <p><em>f) Copyediting Process-Step </em>1 :<em>Â&nbsp;Journal Template Adaptation</em></p> <p>The authors need to re-edit the paper, using the template. The re-edited paper should use the template provided by us and meet the formatting requirements outlined in the Author Guidelines.</p> <p>All accepted manuscripts are obligated to adapt the layout of the paper according to the journal's template. EJERS provides a<span class="Apple-converted-space">Â&nbsp;</span><a href="">.DOCX template format</a>, and also accepts<span class="Apple-converted-space">Â&nbsp;</span><a href="">IEEE journal LaTeX template format</a>.</p> <p><em>g) Copyediting Process-Step 2</em></p> <p>After receiving the revised paper. Our editing staff will work on the layout and format. After the process, we will invite you to check the paper again.</p> <p><em>h) Online Publication &amp; Indexing</em></p> <p>E-journal in .PDF Â&nbsp;format will be available on the journal’s webpage free of charge for download. In addition, a DOI identifier will be assigned to your paper, and you will be informed regarding to the DOI number.</p> <p>Â&nbsp;Â&nbsp;</p> <p>Â&nbsp;</p> </td> </tr> </tbody> </table> en-US <p>The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.</p> <p>Submission of the manuscript represents that the manuscript has not been published previously and is not considered for publication elsewhere.</p> (European Journal of Electrical Engineering&Computer Science) (support) Wed, 03 Mar 2021 10:01:55 -0500 OJS 60 Need of Sentiments Analysis with CF for Quality Recommendations <p class="Abstract">Recommendation system (RS) help user for purchasing the right product of their interest within the affordable right price. Presently many RS make use of only filtering methods to recommend products to the user which is not taking care of the quality of products. Quality of products can be found from textual reviews available on various e-commerce websites and hence this RS performs Sentiment Analysis (SA)of extracted relevant textual reviews along with Collaborative Filtering (CF) to give accurate and good quality recommendations to the user. Reviews are analyzed using optimized Artificial Neural Network (ANN) which shows notified improvement than traditional ANN on real-time extracted data of reviews.CF performance is proved by using the standard dataset of movilense used in many research papers. Results show high recall and accuracy of CF for the recommendation of products to the target user.</p> Seema P. Nehete, Satish R. Devane Copyright (c) 2021 Seema P. Nehete, Satish R. Devane Sat, 20 Mar 2021 00:00:00 -0400 A Solution to Frequency Splitting in Magnetic Resonance Wireless Power Transfer Systems Using Double Sided Symmetric Capacitors <p>The technology of wireless power transfer using magnetic resonance coupling has become a subject of interest for researchers with the proliferation of mobile. The maximum efficiency is achieved at a specific gap between the resonators in the system. However, the resonance frequency splits as the gap declines or gets smaller. Different methods have been studied to improve this such as frequency tracking and impedance matching, including capacitive tuning. However, the system has to maintain the same working frequency to avoid moving out of the license exempt industrial, scientific, and medical (ISM) band; and the efficiency must be as large as possible. In this paper, a symmetric capacitance tuning method is presented to achieve these two conditions and solve the splitting problem. In the proposed method, the maximum efficiency at one of the splitting frequencies is moved to match the original resonance frequency. By comparison to other works, both simulation and experiment show considerable improvements for the proposed method over existing frequency tracking and impedance matching methods. The paper also presents a proposal to apply this method automatically which can achieve wireless charging for electronic applications with high efficiency and through variable distance.</p> Thabat Thabet, John Woods Copyright (c) 2021 Thabat Thabet, John Woods Sat, 20 Mar 2021 00:00:00 -0400 Addressing Mode and Bit Extensions to the Thumb-2 Instruction Set Architecture <p class="Abstract">Thumb-2 is the most recent instruction set architecture for ARM processors which are one of the most widely used embedded processors. In this paper, two extensions are proposed to improve the performance of the Thumb-2 instruction set architecture, which are addressing mode extensions and sign/zero extensions combined with data processing instructions. To speed up access to an element of an aggregated data, the proposed approach first introduces three new addressing modes for load and store instructions. They are register-plus-immediate offset addressing mode, negative register offset addressing mode, and post-increment register offset addressing mode. Register-plus-immediate offset addressing mode permits two offsets and negative register offset allows offset to be a negative value of a register content. Post-increment register offset mode automatically modifies the offset address after the memory operation. The second is the sign/zero extension combined with a data processing instruction which allows the result of a data processing operation to be sign/zero extended to accelerate a type conversion. Several least frequently used instructions are reduced to provide the encoding space for the new extensions. Experiments show that the proposed approach improves performance by an average of 8.6% when compared to the Thumb-2 instruction set architecture.</p> Dae-Hwan Kim Copyright (c) 2021 Dae-Hwan Kim Mon, 22 Mar 2021 09:45:48 -0400 Modelling of an Optimized Microgrid Model by Integrating DG Distributed Generation Sources to IEEE 13 Bus System <p>Due to the rapid increase in energy demand with depleting conventional sources, the world’s interest is moving towards renewable energy sources. Microgrid provides easy and reliable integration of distributed generation (DG) units based on renewable energy sources to the grid. The DG’s are usually integrated to microgrid through inverters. For a reliable operation of microgrid, it must have to operate in grid connected as well as isolated mode. Due to sudden mode change, performance of the DG inverter system will be compromised. Design and simulation of an optimized microgrid model in MATLAB/Simulink is presented in this work. The goal of the designed model is to integrate the inverter-interfaced DG’s to the microgrid in an efficient manner. The IEEE 13 bus test feeder has been converted to a microgrid by integration of DG’s including diesel engine generator, photovoltaic (PV) block and battery. The main feature of the designed MG model is its optimization in both operated modes to ensure the high reliability. For reliable interconnection of designed MG model to the power grid, a control scheme for DG inverter system based on PI controllers and DQ-PLL (phase-locked loop) has been designed. This designed scheme provides constant voltage in isolated mode and constant currents in grid connected mode. For power quality improvement, the regulation of harmonic current insertion has been performed using LCL filter. The performance of the designed MG model has been evaluated from the simulation results in MATLAB/ Simulink.</p> Bisma Imtiaz, Imran Zafar, Cui Yuanhui Copyright (c) 2021 Bisma Imtiaz, Imran Zafar, Cui Yuanhui Wed, 24 Mar 2021 10:18:27 -0400 Investigation Break Down Voltages for High Density Polyethylene Cables Using Multiple Regression <p>This paper illustrated the electrical characteristic of High Density Polyethylene (HDPE) by adding an alumina trihydrate (ATH)filler At concentrations vary from 0% to 40%.</p> <p>Multiple Regression Analysis (MRA) was used to find the best suitable curve between the percentages of ATH filler and the Break down Voltages (kV/mm).</p> Hussein M. Nabil, Loai S. Nasrat, Salah M. Kamel Copyright (c) 2021 Hussein M. Nabil, Loai S. Nasrat, Salah M. Kamel Sat, 27 Mar 2021 00:00:00 -0400 Artificial Neural Network Models for Rainfall Prediction <p class="Abstract">Rainfall prediction is an important meteorological problem that can greatly affect humanity in areas such as agriculture production, flooding, drought, and sustainable management of water resources. The dynamic and nonlinear nature of the climatic conditions have made it impossible for traditional techniques to yield satisfactory accuracy for rainfall prediction. As a result of the sophistication of climatic processes that produced rainfall, using quantitative techniques to predict rainfall is a very cumbersome task. The paper proposed four non-linear techniques such as Artificial Neural Networks (ANN) for rainfall prediction. ANN has the capacity to map different input and output patterns. The Feed Forward Neural Network (FFNN), Cascade Forward Neural Network (CFNN), Recurrent Neural Network (RNN), and Elman Neural Network (ENN) were used to predict rainfall. The dataset used for this work contains some meteorological variables such as temperature, wind speed, humidity, rainfall, visibility, and others for the year 2015-2019. Simulation results indicated that of all the proposed Neural Network (NN) models, the Elman NN model produced the best performance. We also found out that Elman NN has the best performance for the year 2018 (having the lowest RMSE, MSE, and MAE of 6.360, 40.45, and 0.54 respectively). The results indicated that NN algorithms are robust, dependable, and reliable algorithms that can be used for daily, monthly, or yearly rainfall prediction.</p> Emmanuel Gbenga Dada, Hurcha Joseph Yakubu, David Opeoluwa Oyewola Copyright (c) 2021 Emmanuel Gbenga Dada, Hurcha Joseph Yakubu, David Opeoluwa Oyewola Fri, 02 Apr 2021 09:58:01 -0400 Convolutional Neural Networks(CNN) based Eye-Gaze Tracking System using Machine Learning Algorithm <p>To avoid the rising number of car crash deaths, which are mostly caused by drivers' inattentiveness, a paradigm shift is expected. The knowledge of a driver's look area may provide useful details about his or her point of attention. Cars with accurate and low-cost gaze classification systems can increase driver safety. When drivers shift their eyes without turning their heads to look at objects, the margin of error in gaze detection increases. For new consumer electronic applications such as driver tracking systems and novel user interfaces, accurate and effective eye gaze prediction is critical. Such systems must be able to run efficiently in difficult, unconstrained conditions while using reduced power and expense. A deep learning-based gaze estimation technique has been considered to solve this issue, with an emphasis on WSN based Convolutional Neural Networks (CNN) based system. The proposed study proposes the following architecture, which is focused on data science: The first is a novel neural network model that is programmed to manipulate any possible visual feature, such as the states of both eyes and head location, as well as many augmentations; the second is a data fusion approach that incorporates several gaze datasets. However, due to different factors such as environment light shifts, reflections on glasses surface, and motion and optical blurring of the captured eye signal, the accuracy of detecting and classifying the pupil centre and corneal reflection centre depends on a car environment. This work also includes pre-trained models, network structures, and datasets for designing and developing CNN-based deep learning models for Eye-Gaze Tracking and Classification.</p> Prakash Kanade, Fortune David, Sunay Kanade Copyright (c) 2021 Prakash Kanade, Fortune David, Sunay Kanade Wed, 07 Apr 2021 00:00:00 -0400 Review of Voice Controlled Robotic Arm-Raspberry Pi <p>One of the most essential life skills is to be able to communicate easily. In order to produce greater comprehension, communication is described as transmitting knowledge. Communication and technologies are not mutually exclusive. Speech Recognition is a technique that facilitates the processing of voice information to text and is independent of the speaker. This enables it to be used in various applications, from digital assistants to machinery control. The aim of this paper is to study numerous robotic vehicles powered by human speech commands. To accomplish this functionality, most of these systems run with the use of an android smart phone that transmits voice commands to a raspberry pi. The voice-operated robot is used to build one moving object. It is moved as per the voice recognition module commands, and the robot obtains that command. The robot compares the command with the stored software and then sets the command using wireless communication as per voice. These suggested methods would be useful for devices such as assistive robotics for people with disabilities or automotive applications such as work robots.</p> B. Shoban Babu, V. Priyadharshini, Prince Patel Copyright (c) 2021 B. Shoban Babu, V. Priyadharshini, Prince Patel Wed, 10 Mar 2021 09:05:55 -0500 A Novel Approach of Frequent Itemsets Mining for Coronavirus Disease (COVID-19) <p>The global pandemic of new coronaviruses (COVID-19) has infected many people around the world and became a worldwide concern since this disease caused illness and deaths. The vaccine and drugs are not scientifically established, but patients are recovering with antibiotic drugs, antiviral medicine, chloroquine, and vitamin C. Now it is obvious to the world that a quicker and faster solution is needed for monitoring and combating the further spread of COVID-19 worldwide, using non-clinical techniques, for example, data mining tools, enhanced intelligence, and other artificial intelligence technologies. In this paper, association rule mining is developing for the frequent itemsets discovery in COVID-19 datasets, and the extraction of effective association relations between them. This is done by demonstrates the analysis of the Coronavirus dataset by using the Apriori_Association_Rules algorithm. It involves a scheme for classification and prediction by recognizing the associated rules relating to Coronavirus. The major contribution of this study employment determines the effectiveness of the Apriori_Association_Rules algorithm towards a classification of medical reports. The experimental results provide evidence of the Apriori_Association_Rules algorithm regarding the execution time, memory consumption, and several associated rules that reflect its potential applications to different contexts. Therefore, the Apriori_Association_Rules algorithm will be very useful in healthcare fields to demonstrate the latest developments in medical studies fighting COVID-19.</p> Mai Shawkat, Mahmoud Badawi, Ali I. Eldesouky Copyright (c) 2021 Mai Shawkat, Mahmoud Badawi, Ali I. Eldesouky Mon, 15 Mar 2021 09:37:18 -0400 Mobile and Location Based Service using Augmented Reality: A Review <p>MAR (Mobile Augmented Reality) is delegated an innovation that gives similar capacities as AR (Augmented Reality), yet without the actual limitations of the area of an exploration office or testing region. A Location-Based Service (LBS) is an application for portable figuring which gives clients administrations dependent on their topographical area. Area based administrations are getting progressively famous with the ascent of cell phones with an ever increasing number of highlights (particularly Apple's iPhone and Android-based gadgets). Increasingly more substance is improved with geo-information and can subsequently be seen in a virtual climate, however in real, portable conditions and in a setting delicate way fit to the requirements of the client. The definition and advantages of versatile increased reality and area based administrations and the mix of portable enlarged reality and area based administrations are broke down in this article. The issues are examined alongside the upsides and downsides.</p> Prakash Kanade, Jai Prakash Prasad Copyright (c) 2021 Prakash Kanade, Jai Prakash Prasad Thu, 18 Mar 2021 00:00:00 -0400