Proceedings of Engineering and Technology Innovation https://ojs.imeti.org/index.php/PETI <p><strong><em>Proceedings of Engineering and Technology Innovation</em></strong> (PETI), ISSN 2518-833X (Online), ISSN 2413-7146 (Print), is an international, multidiscipline, open access, peer-reviewed scholarly journal, and dedicated to provide a fast publishing platform for researchers, developers, technical managers, and educators in the field of technology innovation. The official abbreviated titile is <em><strong>Proc. eng. technol. innov.</strong></em> It is published by Taiwan Association of Engineering and Technology Innovation. Currently, there is<em><strong> no any charge</strong></em> for submission and publication of the papers submitted to PETI. You are invited to submit your works to the journal.</p> <p>PETI is indexed by:</p> <p><img src="/public/site/images/allen/DOAJ-small2.png">&nbsp;<img src="http://ojs.imeti.org/public/site/images/ijeti/google6.png" alt="">&nbsp;&nbsp; <img src="http://ojs.imeti.org/public/site/images/ijeti/CNKI1.png" alt="">&nbsp;&nbsp; <img src="http://ojs.imeti.org/public/site/images/allen/ProQuest-4.png" width="74" height="35">&nbsp;&nbsp; <img src="http://ojs.imeti.org/public/site/images/ijeti/Resarch_Bible6.png" alt="">&nbsp;&nbsp;<img src="http://ojs.imeti.org/public/site/images/ijeti/WorldCat6.png" alt="">&nbsp;&nbsp;<img src="http://ojs.imeti.org/public/site/images/allen/academia-13.png"> <img src="http://ojs.imeti.org/public/site/images/ijeti/TOCs6.jpg" alt=""> &nbsp;<img src="/public/site/images/allen/Publons-22.5_1.png"> &nbsp; <img src="/public/site/images/allen/crossref3.png" width="92" height="42"></p> <p>Under evaluation of SCI(E), Scopus, Compendix(EI), INSPEC, etc.</p> <p>&nbsp;</p> Taiwan Association of Engineering and Technology Innovation en-US Proceedings of Engineering and Technology Innovation 2413-7146 <hr> <p style="line-height: 150%;"><span style="font-family: Times New Roman;">Submission of a manuscript implies: that the work described has not been published before that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication. Authors can retain copyright of their article with no restrictions. Also, author can post the final, peer-reviewed manuscript version (postprint) to any repository or website.</span></p> <p>&nbsp;</p> <p style="line-height: 150%;"><img alt="" src="/public/site/images/ijeti/cc.png"><br><span style="font-family: Times New Roman, Times, serif;">Since Oct. 01, 2015, PETI will publish new articles with Creative Commons Attribution Non-Commercial License, under </span><span style="font-family: Times New Roman, Times, serif;"><a href="https://creativecommons.org/licenses/by-nc/4.0/">The Creative Commons Attribution Non-Commercial 4.0 International (CC BY-NC 4.0) License</a>.<br>The Creative Commons Attribution Non-Commercial (CC-BY-NC) License permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes</span></p> A Method Based on Only Currents for Determining Fault Direction in Radial Distribution Networks Integrated with Distributed Generations https://ojs.imeti.org/index.php/PETI/article/view/8420 <p>Nowadays, more distributed generations (DGs) are connected to a radial distribution network, so conventional overcurrent relays cannot operate correctly when a fault occurs in the network. This study proposes a method to determine the fault direction in a three-phase distribution network integrated with DGs. The obtained pre-fault and fault currents are utilized to extract their phasors by the fast Fourier transform, and the phase angle difference between the positive-sequence components of the pre-fault and fault currents is used. Moreover, the method only uses the local current measurement to calculate and identify the phase angle change of the fault current without using the voltage measurement. Matlab/Simulink software is used to simulate the three-phase distribution network integrated with DGs. The faults with different resistances are assumed to occur at backward and forward fault locations. The simulation results show that the proposed method correctly determines the fault direction.</p> Ngo Minh Khoa Tran Xuan Khoa Copyright (c) 2021 Ngo Minh Khoa, Tran Xuan Khoa http://creativecommons.org/licenses/by-nc/4.0 2021-12-24 2021-12-24 20 01 11 10.46604/peti.2021.8420 Closed Loop V/f Speed Control of Multilevel Inverter Fed Induction Motors Using PID and Fuzzy Logic Controllers https://ojs.imeti.org/index.php/PETI/article/view/8232 <p>The Volts per Hertz (V/f) speed control method makes induction motors available to be used in variable speed applications. However, the great harmonic distortion in supply voltage is a major issue of this method. Therefore, this study focuses on decreasing the harmonic distortion in the supply to induction motors. For that, the use of thirty-one-level multilevel inverters (MLIs) is investigated. Another drawback of the V/f speed control method is the use of proportional-integral-derivative (PID) controllers as speed controllers, which are difficult to be tuned precisely. To overcome this, the use of fuzzy logic controllers is investigated. The whole model is developed and simulated in MATLAB/SIMULINK by varying two variables, i.e., reference speed and load torque, one at a time using each controller. The observations for the changes in speed, torque, stator current, and supply voltage to the induction motors are made. The system’s performance using fuzzy logic controllers is found superior.</p> Aravinda Shilpa Konathala Mamillapalli Rose Mary Bade Mounica Gudla Meghana Jyothula Renuka Devi Copyright (c) 2021 Aravinda Shilpa Konathala, Mamillapalli Rose Mary, Bade Mounica, Gudla Meghana, Jyothula Renuka Devi http://creativecommons.org/licenses/by-nc/4.0 2021-10-18 2021-10-18 20 12 23 10.46604/peti.2021.8232 Supervised Learning Based Classification of Cardiovascular Diseases https://ojs.imeti.org/index.php/PETI/article/view/7217 <p>Detecting cardiovascular disease (CVD) in the early stage is a difficult and crucial process. The objective of this study is to test the capability of machine learning (ML) methods for accurately diagnosing the CVD outcomes. For this study, the efficiency and effectiveness of four well renowned ML classifiers, i.e., support vector machine (SVM), logistics regression (LR), naive Bayes (NB), and decision tree (J48), are measured in terms of precision, sensitivity, specificity, accuracy, Matthews correlation coefficient (MCC), correctly and incorrectly classified instances, and model building time. These ML classifiers are applied on publically available CVD dataset. In accordance with the measured result, J48 performs better than its competitor classifiers, providing significant assistance to the cardiologists.</p> Arif Hussain Hassaan Malik Muhammad Umar Chaudhry Copyright (c) 2021 Arif Hussain, Hassaan Malik, Muhammad Umar Chaudhry http://creativecommons.org/licenses/by-nc/4.0 2021-09-30 2021-09-30 20 24 34 10.46604/peti.2021.7217 Artifact Removal Methods in EEG Recordings: A Review https://ojs.imeti.org/index.php/PETI/article/view/7653 <p>To obtain the correct analysis of electroencephalogram (EEG) signals, non-physiological and physiological artifacts should be removed from EEG signals. This study aims to give an overview on the existing methodology for removing physiological artifacts, e.g., ocular, cardiac, and muscle artifacts. The datasets, simulation platforms, and performance measures of artifact removal methods in previous related research are summarized. The advantages and disadvantages of each technique are discussed, including regression method, filtering method, blind source separation (BSS), wavelet transform (WT), empirical mode decomposition (EMD), singular spectrum analysis (SSA), and independent vector analysis (IVA). Also, the applications of hybrid approaches are presented, including discrete wavelet transform - adaptive filtering method (DWT-AFM), DWT-BSS, EMD-BSS, singular spectrum analysis - adaptive noise canceler (SSA-ANC), SSA-BSS, and EMD-IVA. Finally, a comparative analysis for these existing methods is provided based on their performance and merits. The result shows that hybrid methods can remove the artifacts more effectively than individual methods.</p> Mariyadasu Mathe Padmaja Mididoddi Battula Tirumala Krishna Copyright (c) 2021 Mariyadasu Mathe, Padmaja Mididoddi, Battula Tirumala Krishna http://creativecommons.org/licenses/by-nc/4.0 2021-08-24 2021-08-24 20 35 56 10.46604/peti.2021.7653 Dynamic Power Management Model for a Wireless Sensor Node https://ojs.imeti.org/index.php/PETI/article/view/8455 <p>Dynamic power management (DPM) is an efficient technique to design low-power and energy-efficient nodes for wireless sensor networks. This article demonstrates the stochastic behaviour of an input event arrival which is modelled with first-in first-out (FIFO) queue and a single server. An event-driven sensor node is developed based on semi-Markov model. The article investigates the factors affecting the performance of the individual sensor node with detailed analysis considering power consumption and lifetime to be the performance metrics under study. The results demonstrate the impact of the change in event arrival and the probability of change detection on the performance of the node. It is observed that (i) the number of generated events increases with the change in the average value of the distribution which affects the service time in turn resulting in a variation of the server utilization, and that (ii) the increase in the detection probability increases the power consumption decreasing the lifetime of the node.</p> Rakhee Kallimani Sridhar Iyer Copyright (c) 2021 Rakhee Kallimani, Sridhar Iyer http://creativecommons.org/licenses/by-nc/4.0 2021-11-17 2021-11-17 20 57 67 10.46604/peti.2021.8455 5G F-OFDM Waveform Based Software-Defined Radio Technology https://ojs.imeti.org/index.php/PETI/article/view/8887 <p>Filtered-orthogonal frequency division multiplexing (F-OFDM) is a quasi-orthogonal waveform candidate for the applications of the fifth generation (5G) communication system. In this study, an F-OFDM waveform with unequal sub-band sizes is proposed to improve the spectrum efficiency (SE) of the 5G system. The proposed waveform is modeled with the Blackman window-sinc filter and is developed based on the software-defined radio (SDR) technology for practical implementation. The result shows that the F-OFDM performance of the simulation and hardware implementation is approximately the same. The SE using the proposed F-OFDM waveform is 6% and 5.8% higher than the SE using the conventional OFDM waveform under the simulation in the LabVIEW NXG simulator and under the practical use in the universal software radio peripheral (USRP) platform, respectively.</p> Dia Mohamad Ali Zhraa Zuheir Yahya Copyright (c) 2021 Dia Ali, Zhraa Yahya http://creativecommons.org/licenses/by-nc/4.0 2021-12-29 2021-12-29 20 68 80 10.46604/peti.2022.8887