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Smart Home Energy Visualizer: A Fusion of Data Analytics and Information VisualizationVisualiseur d'énergie pour maison intelligente : Une fusion de l'analyse de données et de la visualisation d'informations IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2022-01-01 Abdelkareem Jaradat,Hanan Lutfiyya,Anwar Haque
While technology advancements are continuously improving, the energy efficiency of household appliances, energy consumption analysis, and providing feedback to consumers on this analysis remains a critical issue in ensuring the effectiveness of such improvements. Visual feedback is a promising technique for promoting energy conservation by applying demand response (DR) in smart home energy management
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An Isolated Dual-Input Half-Bridge DC-DC Boost Converter With Reduced Circulating Power Between Input Ports Convertisseur boosteur DC-DC isolé à double entrée et demi-point avec une puissance de circulation réduite entre les ports d'entrée IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2022-01-01 Kiran R,R. Kalpana
This article addresses a dual-input half-bridge DC–DC converter for proper utilization of renewable energy sources (RESs). The proposed system includes two different variable sources to examine the power distribution in each module, two high-frequency transformers (HFTs), and a three-leg converter (TLC) at secondary. The TLC is connected in parallel structure to gain reduced circulating power between
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A Novel Plug-In Core Design for Three-Phase Transformers Une nouvelle conception de noyau enfichable pour les transformateurs triphasés IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2022-01-01 Dogancan Celen,Sibel Zorlu Partal
In this study, in order to reduce stacking time and production costs of transformer electrical sheets, a new Plug-In core model has been proposed. This Plug-In transformer was designed as a three-phase transformer made with M330-50A electrical steel with a rated power of 4.7 kVA and then produced as a prototype. Both the proposed transformer model and a reference EI-core transformer with same rated
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Evaluation of Human Intervention-Based Hybrid Approach for Position and Depth Estimation With Error Correction Évaluation d'une approche hybride basée sur l'intervention humaine pour l'estimation de la position et de la profondeur avec correction d'erreur IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Rajesh Kannan Megalingam,Ashwin Kashyap Nellutla,Sriteja Gone,Sakthiprasad Kuttankulangara Manoharan,Sreekanth Makkal Mohandas,Shree Rajesh Raagul Vadivel,Chennareddy Pavanth Kumar Reddy
Position and depth (PD) estimation is one of the key characteristics of autonomous robots. Robots are often challenged to visualize an alien environment remotely, alongside the control mechanism, and estimate the PD of objects. For the robot to reach out to an object, it needs to know the object’s position in a 3-D space. The design of the robot’s vision system is crucial. In this research work, we
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Guest Editorial Special Issue on EPEC 2020 Éditorial Invité Numéro Spécial sur EPEC 2020 IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Gregory Kish,Konstantin Gerasimov
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Stochastic Optimal Power Flow in Hybrid Power System Using Reduced-Discrete Point Estimation Method and Latin Hypercube Sampling Flux de puissance stochastique optimal dans un sysème électrique hybride à l'aide de la méthode d'estimation du point discret réduit et de l'échantillonnage de l'hypercube latin IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Reza Taghavi,Haidar Samet,Ali Reza Seifi,Ziad M. Ali
Stochastic nature of some input variables dictates the requisite of probabilistic analysis in power systems operation and planning. Wind generation is considered as a main source of intermittency in power systems due to the uncertain nature of wind speed. The proposed probabilistic optimal power-flow (POPF) method investigates spatial correlation among sources to attain more practical output distributions
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Investigation on Connected System of Axial-Flux Permanent Magnet Synchronous Generator and Linear Induction Motor Étude du système connecté d'un générateur synchrone à aimant permanent avec un flux axial et d'un moteur à induction linéaire IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Yu-Seop Park
This article investigates the influence of power converters and linear induction motor (LIM) without energy storage system on an axial-flux permanent magnet synchronous generator (PMSG) based on electromagnetic field characteristic analysis. First, the axial-flux PMSG and the LIM are introduced with characteristic analysis results, and their verification is addressed by a finite element method (FEM)
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3-D Path Planning Using Improved RRT* Algorithm for Robot-Assisted Flexible Needle Insertion in Multilayer Tissues Planification de la trajectoire en 3D à l'aide de l'algorithme RRT* amélioré pour l'insertion d'une aiguille flexible assistée par robot dans des tissus multicouches IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Yongkang Zhang,Zhiyang Ju,Hui Zhang,Zhi Qi
In the field of minimally invasive surgery, flexible needles can avoid blood vessels and organs more flexibly compared to rigid needles. One of the main challenges when using flexible needles to reach lesions is planning a suitable path. Due to the non-holonomic characteristic of the flexible needle dynamics and the tissue deformation caused by the needle tip during the insertion, the accessibility
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Cable Insulation Fault Identification Using Partial Discharge Patterns Analysis Identification des défauts d'isolation des cêbles à l'aide de l'analyse des modèles de décharges partielles IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Omar H. Abu-Rub,Qasim Khan,Shady S. Refaat,Hazem Nounou
This study deals with internal defects existing or occurs in cable insulation due to stress over its operation. The most popular tool for identifying and assessing insulation-based flaws is partial discharge (PD) analysis for every power cable and solid insulant. Characterization of defects is of utmost significance for overall degradation intensity and possible deterioration evaluation. In this article
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Optimization of Three-Phase Feeder Load Balancing Using Smart Meters Optimisation de l'équilibrage de la charge d'une alimentation triphasée à l'aide de compteurs intelligents IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Lina Alhmoud,Waleed Marji
Power losses in distribution systems are among the most important performance indicators of electricity distribution companies’ economic operations. Therefore, the distribution system should be planned adequately to ensure working within permissible limits. Suppose that the actual losses are higher than the standard ones; the companies are economically penalized; otherwise, they obtain a profit. Continuous
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Image-Based Incipient Fault Classification of Electrical Substation Equipment by Transfer Learning of Deep Convolutional Neural Network Classification des défauts naissants basée sur l'image des équipements de sous-station par apprentissage par transfert d'un réseau de neurones convolutifs profonds IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Xiangyu Guan,Wei Gao,Hui Peng,Naiqiu Shu,David Wenzhong Gao
A transfer learning-based deep convolutional neural network (DCNN) is employed in this article to identify several typical electrical substation equipment incipient faults. Image dataset contains 11 000 captured electrical substation equipment images, and each image inside the dataset was labeled as normal condition or typical incipient faults (insulation oil leakage, insulator contamination, rusting
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Power Stability and Frequency Control Techniques of DG for a High Penetration Wind-Based Energy Storage System Using Integral-Derivative Controller Techniques de contrôle de la stabilité de la puissance et de la fréquence de la DG pour un système de stockage à haute pénétration d'énergie à base d'éolienne utilisant un contrôleur intégral-dérivé IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Md Jahidur Rahman,Tahar Tafticht,Mamadou Lamine Doumbia
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Analysis and Design Tool for Wireless Power Transfer for Multiple Applications Purposes Outil d'analyse et de conception pour le transfert d'énergie sans fil à des fins d'applications multiples IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Ivan A. Hernandez-Robles,Xiomara Gonzalez-Ramirez,Nestor D. Galan-Hernandez,Juan M. Ramirez-Arredondo
Computer-aided tool called design tool for wireless power transfer (DWPT) was created with the aim of designing wireless power transfer (WPT) systems and analyzing its relevant parameters that affect the output power estimation. This tool is capable of predicting the output power by considering various factors, such as transmitter/receiver coils separation, coils dimensions and geometric shape, averaged
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Practical Receiving Strategy and Radar Waveform Extraction Technology in Radar-Embedded Communications Stratégie de réception pratique et technologie d'extraction des formes d'onde radar dans les communications embarquées par radar IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Baoguo Li,Chengan Zhang,Jianqiu Xu,Yongkang Yao
Radar-embedded communication (REC) systems use a series of radar echoes as a mask to send covert communication signals. In this article, we consider a multiapproach method to improve the reliability of the message reception process in REC systems. First, a match-after-filtering strategy is proposed to improve the overall reliability of message reception. Theoretical analysis and simulation results
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A New Approach to Increase the Thrust Force of Tubular Linear Voice Coil Motor Une nouvelle approche pour augmenter la force de poussée d'un moteur linéaire tubulaire à bobine mobile IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Mumtaz Mutluer
In recent years, design studies of tubular linear voice coil motors for linear movement have been increasing. This is because the motor has performance criteria, such as high thrust force, high thrust density, and low thrust ripple. Therefore, different motor models and magnetic modeling have been studied. In these studies, especially the solutions that increase the air-gap magnetic flux density were
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Dynamic Phasor Modeling and Analysis of Three-Phase DC/DC/AC MMCs for Hybrid AC/DC Grids Modélisation et analyse de phaseur dynamique des MMCs triphasés CC/CC/CA pour les réseaux hybrides CA/CC IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Abraham Rojas Tarango,Gregory J. Kish
The first comprehensive three-phase state-space dynamic phasor model (DPM) for the emerging class of dc/dc/ac modular multilevel converters (MMCs) is presented that accounts for both dc/dc and dc/ac power transfer mechanisms. The phasor model is derived in the $\alpha \beta ~0$ -frame and includes frequency components from dc to third harmonic, which is shown to yield a high degree of matching for
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EV Fleet as Virtual Battery Resource for Community Microgrid Energy Storage Planning Le parc de véhicules électriques comme ressource de batterie virtuelle pour la planification du stockage d'énergie des micro-réseaux communautaires IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Qiyun Dang,Di Wu,Benoit Boulet
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Forecasting Hourly Solar Radiation Using Artificial Intelligence Techniques Prévision du rayonnement solaire horaire à l'aide de techniques d'intelligence artificielle IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Chibuzor N. Obiora,Ali N. Hasan,Ahmed Ali,Nancy Alajarmeh
Recently, photovoltaic (PV) cell technology has witnessed significant developments and improvements. However, solar power is still unattractive to some consumers due to its unpredictability. Therefore, accurate prediction of solar irradiance continues to be critical for stable solar power. In this article, a proposed methodology to improve PV systems’ reliability and stability, using state-of-the-art
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Gaussian Mixture Model for the Estimation of Multiyear Solar Irradiance Probability Density Modèle de mélange gaussien pour l'estimation de la densité de probabilité de l'irradiance solaire pluriannuelle IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Maisam Wahbah,Tarek H. M. EL-Fouly,Bashar Zahawi,Samuel F. Feng
The increasing popularity of photovoltaic resources and the connection of solar farms in larger sizes to power distribution networks make it imperative for network designers to assess the variability of available solar resources at a given location. This is normally achieved by attempting to obtain an accurate estimation of the probability density function (pdf) of solar irradiance at the given site
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Analysis of Key Performance Indicators for Local Electricity Markets' Design Analyse des indicateurs clés de performance pour la conception des marchés locaux de l'électricité IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Godwin C. Okwuibe,Mukund Wadhwa,Thomas Brenner,Peter Tzscheutschler,Thomas Hamacher
Local electricity markets (LEMs) are investigated as a solution to provide consumers and prosumers the opportunity to have control over their electricity-related choices and make savings on their energy bills. This work analyzes market design factors, such as the number of update intervals per trading slot, the production-to-consumption (PtC) ratio, and pricing scenarios that influence the performance
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Voltage-Source Converter Harmonic Characteristic Modeling Using Hammerstein-Wiener ApproachModélisation des caractéristiques harmoniques d'un convertisseur tension-source à l'aide de l'approche Hammerstein-Wiener IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Ahmed S. Abdelsamad,Johanna M. A. Myrzik,Elias Kaufhold,Jan Meyer,Peter Schegner
Power electronic (PE) penetration in energy networks has been increasing rapidly in recent years due to the campaign to rely on distributed generation as a clean, sustainable energy source. This increase leads to new challenges and stability problems occurring because of the increase in the harmonic current injected into the power network. To study and address such issues, accurate and computationally
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Multiunmanned Aerial Vehicle Path Planner on Graphics Processing Unit IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Vincent Roberge,Mohammed Tarbouchi
Using multiple unmanned aerial vehicles (UAVs) improves the efficiency of reconnaissance, surveillance, and search and rescue missions. This article presents a path-planning software for a team of UAVs utilizing graphics processing units (GPUs). The UAVs are tasked to visit multiple points of interest (POIs) in a 3-D environment, and the software finds an optimized solution that assigns the POIs to
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Nonuniform Scattering of Microwave Radiation Due to Layered DUSA Storm: Theory and Experiment IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Kamal M. Harb,Sheikh Sharif Iqbal Mitu,Mahfuz Ullah,Hussein Attia
Wireless communication networks of desert-belt nations can be severely compromised by frequent dust/sand (DUSA) storms. Existing attenuation and scattering models for electromagnetic (EM) waves often consider homogeneous DUSA media. This article proposes an analytical model of a layer-based DUSA storm to monitor the EM attenuation from different DUSA layers. A lab-based experimental setup is used to
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Prediction of Software Effort in the Early Stage of Software Development: A Hybrid Model IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Prerana Rai,Shishir Kumar,Dinesh Kumar Verma
The key challenge that project managers face during software development is the accurate prediction of the software effort. Improper prediction leads either to overestimation or underestimation of the software effort, which can have disastrous consequences for the stakeholders. This article attempts to design a model that gives an accurate prediction of effort in the initial phase of the software development
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Short-Term Load Forecasting for Jordan Power System Based on NARX-ELMAN Neural Network and ARMA Model IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Lina Alhmoud,Qusay Nawafleh
Over the past few years, there is a vast expansion of the Jordan National Energy Sector. Hence, National Electrical Power Company (NEPCO) sheds more light on load forecasting. It tries to build a rigid bridge between the academic and industrial fields. Subsequently, this work presents a study of short-term load forecasting (STLF) for the Jordanian power system. Three techniques are used: the nonlinear
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Design and Modeling of a New MEMS Capacitive Microcantilever Sensor for Gas Flow Monitoring Conception et modélisation d’un nouveau capteur MEMS capacitif à microcantilevers pour la surveillance du débit de gaz IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Abbas Panahi,Pouya Ghasemi,Mohammad Hossein Sabour,Sebastian Magierowski,Ebrahim Ghafar-Zadeh
A new capacitive microelectromechanical system (MEMS) microcantilever gas flow sensor is introduced for application in industrial gas flow measurement pipelines. The chip encompasses microcantilevers with different lengths (50, 100, 250, and $400~\mu \text{m}$ ) and the same thickness and wideness of 2 and $50~\mu \text{m}$ , respectively. Besides MEMS sensor development, we have designed a customized
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Optimal Design of IPT Bipolar Power Pad for Roadway-Powered EV Charging Systems IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Hassan Jafari,Temitayo O. Olowu,Maryam Mahmoudi,Arif Sarwat
This article proposes a multiobjective design optimization of rectangular bipolar power pads (BPP) for dynamic inductive power transfer (IPT) with application in electric vehicles. Minimization of IPT’s design cost, loss that includes core and winding, and maximization of the IPT system’s tolerance against horizontal/vertical misalignment are considered as objective functions during the optimization
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Empirical Mode Decomposition for Analysis and Filtering of Speech Signals IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Mohammed Usman,Mohammed Zubair,Hany S. Hussein,Mohd Wajid,Mohammed Farrag,Syed Jaffar Ali,Mohammad Shiblee,Mohammed Sayeeduddin Habeeb
Speech signals typically have a stationary interval of 20–30 ms. Due to this, most speech processing techniques split speech signals into segments shorter than the stationary interval to take advantage of the piecewise stationary property of speech. However, there is no way to guarantee that the segments coincide with the stationary timescales inherent in the signal. Furthermore, how do we analyze
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Detecting DNS Typo-Squatting Using Ensemble-Based Feature Selection & Classification Models Détection du typosquattage DNS à l'aide de modèles de sélection et de classification basés sur un ensemble de caractéristiques IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Abdallah Moubayed,Emad Aqeeli,Abdallah Shami
The domain name system (DNS) is a crucial component in the current IP-based Internet architecture. However, it suffers from several security vulnerabilities. This is because it does not have proper data integrity and origin authentication mechanisms. This article focuses on the typo-squatting vulnerability (a vulnerability often neglected). Typo-squatting is when attackers register a domain name that
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Assessing the Rate Impact of Conservation and Demand Management: A New Mathematical ModelÉvaluation de l'impact tarifaire de la conservation et de la gestion de la demande : Un nouveau modèle mathématique IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Jessie Ma,Bala Venkatesh
While numerous studies examine the causal relationships of electricity rates on conservation and of conservation on variable costs, little work has been done on the missing links of conservation on fixed costs and on overall electricity rates. This article presents a new model to scientifically quantify these two gaps and complete the economic picture of conservation. This knowledge can equip government
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Three-Stage Priority List Unit Commitment for Large-Scale Power Systems Considering Ramp Rate Constraints IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Abdullah M. Elsayed,Ahmed M. Maklad,Sobhy M. Farrag
This article introduces a new, fast, and efficient priority list (PL) unit commitment (UC) for large-scale power systems considering ramp rate constraints. The proposed three-stage technique decomposes the UC problem into subproblems. These subproblems are PL formation of the generation units, switching power limits of the generation units, unit status calculation, and economic dispatch of the committed
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HBC-Based 3Ø System for Wide Range of Power Conversion IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Pothuraju Pandi,M. Subbarao,Suresh K.
The significance of this research work is the hidden bidirectional chopper (HBC) in three-phase systems for the production of a wide range of voltages. Modes of operation in the electrical system ensure productivity and quality, so the proposed system requires four modes of operation. Four modes of approaches are buck rectification, boost inversion, direct rectification, and direct inversion: the first
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Parameter Estimation of AC Transmission Line Considering Different Bundle Conductors Using Flux Linkage Technique IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Muhammad Suhail Shaikh,Changchun Hua,Munsif Ali Jatoi,Muhammad Mohsin Ansari,Aleem Ahmed Qader
The transmission line is the backbone of the power system. A transmission-line working principle is based on its components: inductance, capacitance, and resistance. These components are important in operation, and designing transmission lines as the voltage drop in the power transmission lines depends on these components. In this research work, the flux linkage technique has been proposed to calculate
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DSSim: A Freeware Tool for Behavioral Simulation of Discrete-Time ΣΔ Modulators IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Arturo E. Vazquez-Gutierrez,Juan J. Ocampo-Hidalgo,Jesus E. Molinar-Solis,Grethell G. Perez-Sanchez,Heberto Ferreira-Medina
This work presents a freeware, user-friendly tool for the behavioral simulation of discrete-time-, single-bit-, sigma–delta modulators. This program was written in Java, which enables its operation in multiple operative-system platforms. The simulation engine is based on a stack machine, which iterates the system’s linear difference equations. A dedicated parser extracts these equations from a graphical
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Power-Aware Coexistence of Wi-Fi and LTE in the Unlicensed Band Using Time-Domain Virtualization IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Sara Zimmo,Abdallah Moubayed,Ahmed Refaey Hussein,Abdallah Shami
The rapid increase of mobile devices requires more network capacity as limited licensed spectrum is diminishing access to long-term evolution (LTE) users. As increasing licensed spectrum becomes costly, a cost-effective solution that improves network capacity is needed. Another overlooked issue is spectrum efficiency, where unused resources could be allocated to more LTE users. This article proposes
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Localization for Intelligent Systems Using Unsupervised Learning and Prediction Approaches IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Paul Mirdita,Zain Khaliq,Ahmed Refaey Hussein,Xianbin Wang
This article proposes the manifold alignment algorithm, followed by learning models for prediction in indoor localization within intelligent systems. Processing data to and from multiple data sets can lead to increased time complexity and a greater demand for disk space and memory if the system is not properly scaled. Herein, the proposed manifold alignment algorithm introduces dimensionality reduction
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A Game Theory Strategy-Based Bidding Evaluation for Power Generation Market IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Saurabh Kumar,Bharti Dwivedi,Nitin Anand Shrivastava
In a deregulated power market, the economical-risk due to real-time pricing is critical as it is not permitted to alter the decisions taken once. The existing generation market needs improvement in terms of enhancing its effectiveness and reliability. This article presents a game-theoretic approach-based bidding strategy decision-making through a case study. In this case, three thermal generating units
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Improving the Performance of Short-Term Load Forecast Using a Hybrid Artificial Neural Network and Artificial Bee Colony Algorithm Amélioration des performances de la prévision de la charge à court terme à l’aide d’un réseau neuronal artificiel hybride et d’un algorithme de colonies d’abeilles artificielles IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Kamran Hassanpouri Baesmat,Iman Masodipour,Haidar Samet
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An Improved Threefold Interleaved PFC Circuit With Better Voltage Profile and Optimizing Current-Sharing Method IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Abolfazl Babaei,Iman Kaffashan,Adib Abrishamifar
In this article, a threefold interleaved power factor correction (PFC) circuit is proposed. The main purpose of this circuit is to reduce the output voltage and current ripples. This reduction in the value of the voltage and current ripples leads the output filter of the converter to have a smaller size. Furthermore, the proposed converter in this article can share the input current between the inductors
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A Novel Intrusion Detection System for RPL-Based Cyber–Physical Systems IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Mridula Sharma,Haytham Elmiligi,Fayez Gebali
The physical layer of cyber–physical systems (CPSs) is composed of resource-constrained devices connected in a wireless sensor network (WSN). Although this layer is easy to deploy, in most cases, it has many security issues. Several intrusion detection systems (IDSs) have been proposed and tested as effective and efficient solutions to detect only a few known attacks. In this article, we propose a
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Assessing the Impact of Alternative Responses to COVID-19: Stopping the Spread in Newfoundland and Labrador, Canada IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Michael G. Chislett,Paige T. Phillips,Brett Snider,Edward A. McBean,John Yawney,S. Andrew Gadsden
The COVID-19 global health crisis has had a significant impact on societies worldwide. To evaluate the effectiveness of transmission prevention strategies, infectivity modeling can be used to interpret and analyze various virus responses. In this study, compartmental modeling approaches are used to model and quantify the success of various control techniques, such as social behaviors. Newfoundland
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MODY-Net: Moving Object Detection Using Multiscale Output Ensemble Y-Network IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Islam I. Osman,Mohamed S. Shehata
Detecting the moving objects in a video is a challenging task. Most of the currently existing methods work on a pixel level. Working on a pixel level is usually inaccurate because the pixel intensity level may change due to illumination, dynamic background, camera movement, and many other challenges. This is why, in this article, a deep network is proposed, which learns to extract features that are
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Cooperative Caching Scheme for Machine-to-Machine Information-Centric IoT Networks IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Satish Anamalamudi,Mohammed Saeed Alkatheiri,Eesa Al Solami,Abdur Rashid Sangi
Information-centric networks (ICNs), a foreseen future Internet architecture, are focusing on the content itself rather than its hosting location. With this, the existing Internet protocol (IP)-based host-centric communication model can be transformed into a content-centric communication model with the support of in-network caching, name-based routing, and location-independent content domain names
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Deep Neural Network Modeling of Different Antenna Arrays; Analysis, Evaluation, and Application IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Somayeh Komeylian
Array signal processing and systems brings merit for synthesizing the optimal radiation pattern for steering the mainbeam in the direction of interest as well as suppressing interference signals in the direction of not interest while preserving the beamwidth. In this study, we have rigorously represented the deep neural network (DNN) modeling of the different geometries of the antenna arrays in three
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Bacterial Foraging Algorithm & Demand Response Programs for a Probabilistic Transmission Expansion Planning With the Consideration of Uncertainties and Voltage Stability Index IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Ibrahim Alhamrouni,Mohamed Salem,Mohd. Khairil Rahmat,Pierluigi Siano
The rapid growth of the power system with respect to many uncertainties has made the transmission expansion planning (TEP) problem more tedious. This article proposes a novel holistic method to solve the TEP problem in the deregulated market environment considering uncertainties at the load side. A mixed-integer nonlinear programming model has been considered in solving the raised issue. A bacterial
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Examining EMF Time Series Using Prediction Algorithms With R IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Zeydin Pala
In this study, electric field strength ( $E$ ) levels of high-voltage lines were measured monthly in Sütlüce (38°N, 41°E), Muş, Turkey, between 2014 and 2018, and the obtained 60 monthly mean values were used as time series (TS) to forecast next 12 months by using conventional statistical and deep learning (DL) algorithms. In addition to the conventional statistical and DL algorithms developed for
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An Optimized Zero-Current, Zero-Voltage, and Three-Level DC–DC Converter IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Abolfazl Babaei,Iman Kaffashan,Adib Abrishamifar
In this article, an optimized zero-voltage and zero-current pulsewidth modulation converter is proposed by investigating conventional converters widely used in dc grids. In this presented model, instead of using three-phase power switches, single-power switches are employed since single-power MOSFETs and IGBTs have lower switching loss and simpler drive circuit than the other module series. Therefore
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Weighted Frequent Itemset Mining Using Weighted Subtrees: WST-WFIM IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Saeed Nalousi,Yousef Farhang,Amin Babazadeh Sangar
There is a wide range of association rules mining algorithms concerning the importance of weighted data to extract frequent rules. In some algorithms, each item has only one weight in the data set, while, in others, each item in each segment of the data set has only one specific weight. In this work, a new efficient algorithm named weighted frequent itemset mining using weighted subtrees (WST-WFIM)
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Compact Bit-Parallel Systolic Multiplier Over GF(2 m ) IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Atef Ibrahim,Fayez Gebali,Yassine Bouteraa,Usman Tariq,Tariq Ahanger,Khaled Alnowaiser
This article presents a compact and efficient bit-parallel systolic array structure for multiplication over the extended binary field, GF(2 $^{m}$ ). The systolic array has a regular arrangement with local connections, making it more suitable for VLSI implementations. Also, it has the merits of having hardware complexity of order $\mathcal{O}(m)$ that distinguishes it from the previously reported bit-parallel
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Fault Ride-Through Analysis of Current- and Voltage-Source Models of Grid Supporting Inverter-Based Microgrid IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Elutunji Buraimoh,Innocent E. Davidson
Withstanding fault is a crucial technical challenge for inverter-based systems. Evolving grid codes require microgrids to possess fault ride-through (FRT) capabilities and support the grid voltage recovery. The traditional grid forming and grid feeding models lack such abilities. Consequently, this article enhanced these traditional models with droop control-virtual impedance and secondary power reference
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A New Energy Storage System Configuration to Extend Li-Ion Battery Lifetime for a Household IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Mehdi Alimardani,Mehdi Narimani
A new home energy storage system (HESS) configuration using lithium-ion batteries is proposed in this article. The proposed configuration improves the lifetime of the energy storage devices. The batteries in this system can be charged by either using solar panels when solar energy is available or by using the grid power when the electricity cost is at its lowest rate during off-peak hours. In the proposed
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Analysis and Design Optimization of Tubular Linear Voice Coil Motor for High Thrust Force and Low Copper Loss IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Mumtaz Mutluer
In recent years, studies on the design of the tubular linear voice coil motor (TLVCM) have increased considerably. These studies propose to obtain high thrust force, high efficiency, low thrust ripple, low cost, or low volume. The magnetic equivalent circuit of the motor is created, and for any objective, only one or some parameters are emphasized. In fact, the effect of each geometric parameter of
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A Modified FOC Strategy With Optimal Rotor Flux for FTC of Star-Connected TPIMDs Against Single-Phase Open Fault IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Mohammad Shabandokht-Zarami,Mahmood Ghanbari,Esmaeil Alibeiki,Mohammad Jannati
In this research, a modified field-oriented control (MFOC) strategy with optimal rotor flux for fault-tolerant control (FTC) of star-connected three-phase induction machine drives (TPIMDs) against single-phase open fault (SPOF) is proposed. First, an FTC scheme based on using an unbalanced transformation matrix (TM) for stator current components in order to control the TPIMD during SPOF is presented
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Fast Mapping and Updating Algorithms for a Binary CAM on FPGA IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Azhar Qazi,Zahid Ullah,Abdul Hafeez
Content-addressable memories (CAMs) are used in a variety of applications, such as IP filtering, data compression, and artificial neural networks due to its high-speed lookup. Fast field-programmable gate arrays (FPGAs) are nowadays used to emulate CAMs. These CAM emulations either make use of logical resources or use memory blocks on FPGAs to emulate CAMs. However, such CAM emulation suffers from
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Critical Analysis of Cross-Validation Methods and Their Impact on Neural Networks Performance Inflation in Electroencephalography Analysis IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Mohammed J. Abdulaal,Alexandre J. Casson,Patrick Gaydecki
The performance of a brain–computer interface (BCI) system is usually measured by its classification accuracy. This creates motivation to increase system accuracies. This article investigates the variation of accuracy values in emotion recognition studies and their relation to cross-validation methods. The literature shows values of accuracies ranging from 60% to 99% while using similar classifiers
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Protection Coordination of Bidirectional Overcurrent Relays Using Developed Particle Swarm Optimization Approach Considering Distribution Generation Penetration and Fault Current Limiter Placement IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Mojgan Ghanbari,Majid Gandomkar,Javad Nikoukar
This article is treated with the protection coordination of bidirectional overcurrent relays (OCRs) in distribution power systems to obtain the best performance at a minimum total time dial setting (TDS). High penetration of distribution generation (DG) into distribution systems may significantly affect the protective system; since they increase the short-circuit level by injecting an extra share of
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Drivability Improving Control During Mode Transition Process of Through-the-Road Hybrid Electric Vehicles IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Ling Li,Fazhan Tao,Zhumu Fu
Drivability control in mode transition process of through-the-road hybrid electric vehicles (TTR HEVs) is focused in this article. There is more than one path of energy flow from the power sources to the wheels in TTR HEVs. The torque coupling is achieved through the road. The operation modes and transitions show more diversity than other HEVs. These distinguishing features imply the necessity of remodeling
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Effective Model Predictive Voltage Control for a Sensorless Doubly Fed Induction Generator IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Mahmoud A. Mossa,Ton Duc Do,Ameena Saad Al-Sumaiti,Nguyen Vu Quynh,Ahmed A. Zaki Diab
This article presents a novel model predictive voltage control (MP VC) for a doubly fed induction generator (DFIG) without a speed sensor. The methodology of the considered MP VC is articulated on the direct voltage control by incorporating the deadbeat control principle within the model predictive topology. The derivation of the utilized cost function is accomplished in organized steps. The finite
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Evaluation of Dimensionality Reduction Techniques for Load Profiling Application in Smart Grid Environment IEEE Can. J. Electr. Comput. Eng. (IF 1.7) Pub Date : 2021-01-01 Ahmed Aleshinloye,Muhammad Asif Manzoor,Abdul Bais
The traditional power grid system is evolving toward a smart grid system, which will improve the user experience. However, this system is capable of generating high-dimensional data at a very high sample rate. A common technique for reducing high-dimensional data is dimensionality reduction. With this technique, we are able to reduce the data to a lower dimension, making it suitable for smart grid