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Houseplant leaf classification system based on deep learning algorithms J. Electr. Syst. Inf Technol Pub Date : 2024-04-07 Hersh M. Hama, Taib Sh. Abdulsamad, Saman M. Omer
Botanical experts are typically relied upon to classify houseplants since even subtle differences in characteristics such as leaves can distinguish one species from another. Therefore, an automated system for recognizing houseplant leaves with accuracy and reliability becomes a valuable asset for the identification of indoor plant species. In this paper, a houseplant leaf classification system utilizing
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Early prediction of chronic kidney disease based on ensemble of deep learning models and optimizers J. Electr. Syst. Inf Technol Pub Date : 2024-04-03 Dina Saif, Amany M. Sarhan, Nada M. Elshennawy
Recent studies have proven that data analytics may assist in predicting events before they occur, which may impact the outcome of current situations. In the medical sector, it has been utilized for predicting the likelihood of getting a health condition such as chronic kidney disease (CKD). This paper aims at developing a CKD prediction framework, which forecasts CKD occurrence over a specific time
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Enhanced resource allocation strategies to improve the spectral efficiency in massive MIMO systems J. Electr. Syst. Inf Technol Pub Date : 2024-03-08 Angelina Misso
The accuracy of the channel state information is important for correct channel estimation. However, when conducting channel estimation, more resources are allocated to pilots for estimation compared to data transmission. Furthermore, when the number of users increases, the number of pilots for estimation increases. Subsequently, there is an increase in the transmission overhead and hence reduces the
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Design and development of an IoT-based intelligent water quality management system for aquaculture J. Electr. Syst. Inf Technol Pub Date : 2024-03-06 Olumide Oluseye Olanubi, Theddeus Tochukwu Akano, Olumuyiwa Sunday Asaolu
Water quality is generally known to directly affect the health and growth rate of aquatic organisms and determines the success of any aquaculture fish production. However, water quality problems are difficult to detect early in aquaculture production facilities, largely because it requires a high level of technical understanding of the physio-chemical properties of water. In this research, an IoT-based
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Design and implementation of domestic dual-SIM telesecurity alarm system using voice code recognition J. Electr. Syst. Inf Technol Pub Date : 2024-03-05 Johnpaul Uzozie Okafor, Akinyinka Olukunle Akande, Cosmas Kemdirim Agubor
Violent crime cases which include, robbery, rape, and homicide are terribly on the rise, and the role of security in combating this menace cannot be overemphasized. This research presents a security device that aims at fighting violent crimes using voice recognition technology. The work also tends to solve the issue of network downtime when the user is out of reach for help in time of attack. In this
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Sensor placement algorithm for faults detection in electrical secondary distribution network using dynamic programming method: focusing on dynamic change and expansion of the network configurations J. Electr. Syst. Inf Technol Pub Date : 2024-02-23 Daudi Charles Mnyanghwalo, Shamte Juma Kawambwa
Modern power grids are developing toward smartness through the use of sensors in gathering data for situation awareness, visibility, and fault detection. In most developing countries, fault detection in the electrical secondary distribution network (SDN) is very challenging due to the lack of automated systems for network monitoring. Systems for monitoring faults require sensor placement on each node
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Comparing pre-trained models for efficient leaf disease detection: a study on custom CNN J. Electr. Syst. Inf Technol Pub Date : 2024-02-23 Touhidul Seyam Alam, Chandni Barua Jowthi, Abhijit Pathak
Leaf disease detection is a crucial task in modern agriculture, aiding in early diagnosis and prevention of crop infections. In this research paper, authors present a comprehensive study comparing nine widely used pre-trained models, namely DenseNet201, EfficientNetB3, EfficientNetB4, InceptionResNetV2, MobileNetV2, ResNet50, ResNet152, VGG16, and Xception, with our newly developed custom CNN (Convolutional
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CNN-optimized text recognition with binary embeddings for Arabic expiry date recognition J. Electr. Syst. Inf Technol Pub Date : 2024-02-21 Mohamed Lotfy, Ghada Soliman
Recognizing Arabic dot-matrix digits is a challenging problem due to the unique characteristics of dot-matrix fonts, such as irregular dot spacing and varying dot sizes. This paper presents an approach for recognizing Arabic digits printed in dot matrix format. The proposed model is based on convolutional neural networks (CNN) that take the dot matrix as input and generate embeddings that are rounded
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Improved-RSSI-based indoor localization by using pseudo-linear solution with machine learning algorithms J. Electr. Syst. Inf Technol Pub Date : 2024-02-17 M. W. P. Maduranga, Valmik Tilwari, Ruvan Abeysekera
With the rapid advancement of the Internet of Things and the popularization of mobile Internet-based applications, the location-based service (LBS) has attracted much attention from commercial developers and researchers. Received signal strength indicator (RSSI)-based indoor localization technology has irreplaceable advantages for many LBS applications. However, due to multipath fading, noise, and
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Generalized antenna sequence spatial modulation (GASSM): a novel framework for enhanced PHY layer security and energy efficiency J. Electr. Syst. Inf Technol Pub Date : 2024-01-29 Joseph A. Obadha, Peter O. Akuon, Vitalis K. Oduol
In antenna sequence spatial modulation (ASSM), the spatial and symbol domains are both used to encode information. The sequencing of the antennas’ transmissions within given time slots and the symbol carried in those time slots represent information in the spatial and symbol domains, respectively. The receiver’s task is to decode this sequence of transmission and to detect the symbol carried in the
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Characterization of resonant coupled inductor in a wireless power transfer system J. Electr. Syst. Inf Technol Pub Date : 2024-01-24 Alan P. Nebrida
Wireless power transfer (WPT) has garnered significant interest as a potentially transformative technology in the energy sector, as it presents a novel approach to powering and charging devices. The functionality of this technology is predicated upon the utilization of electromagnetic coupling to facilitate the wireless transmission of energy between two entities. Despite the considerable potential
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A hybrid deep learning technique for spoofing website URL detection in real-time applications J. Electr. Syst. Inf Technol Pub Date : 2024-01-24 Bridget C. Ujah-Ogbuagu, Oluwatobi Noah Akande, Emeka Ogbuju
Website Uniform Resource Locator (URL) spoofing remains one of the ways of perpetrating phishing attacks in the twenty-first century. Hackers continue to employ URL spoofing to deceive naïve and unsuspecting consumers into releasing important personal details in malicious websites. Blacklists and rule-based filters that were once effective at reducing the risks and sophistication of phishing are no
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Inexpensive short-circuit current limiter and switching device based on one commutation circuit for a three-phase system J. Electr. Syst. Inf Technol Pub Date : 2024-01-18 A. R. Ahmed, Abdallah M. Hamada, Saady Hasan, K. M. Abdel-Latif
The escalating levels of fault currents resulting from short circuits, particularly in the context of distribution generators, have presented a critical need for the widespread implementation of fault current limiters (FCLs) in power systems. Despite their evident advantages, the extensive adoption of FCLs has been hindered by the high production costs associated with these devices. To address this
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Financial technology decision support systems J. Electr. Syst. Inf Technol Pub Date : 2024-01-15 Alper Pahsa
The financial technology industry was the first and most successful to combine machine learning algorithms based on big data with artificial intelligence techniques. The use of decision support systems (DSSs) procedures will deliver financial products, service channels, service methodologies, and risk management in the quickest and most cost-efficient manners. The deep service value chain’s high-end
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Classification of COVID-19 patients from HRCT score prediction in CT images using transfer learning approach J. Electr. Syst. Inf Technol Pub Date : 2024-01-05 Jitendra Tembhurne
COVID-19 had a huge impact on patients and medical systems all around the world. Computed tomography (CT) images can effectively complement the reverse transcription-polymerase chain reaction testing (RT-PCR) and offer results much faster than RT-PCR test which assists to prevent spread of COVID-19. Various deep learning models have been recently proposed for COVID-19 screening in CT scans as a tool
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Optimizing juice extraction in sugar mills: application of time delay compensation with intelligent controllers J. Electr. Syst. Inf Technol Pub Date : 2024-01-04 Mohamed T. F. Saidahmed, Ahmed M. Attiya Ibrahim, Basma Gh. Elkilany
The juice extraction process plays a crucial role in the sugar production industry, but it often faces challenges due to time delays that can negatively impact efficiency and quality. This paper introduces a Time Delay Compensation (TDC) technique aimed at mitigating this issue. The TDC technique is specifically designed to minimize the adverse effects of time delays, thereby improving control performance
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A market definition paradigm equilibrium voltage analysis of ageing and temperature in lithium-ion cells J. Electr. Syst. Inf Technol Pub Date : 2024-01-02 Samuel O. Enochoghene, Thomas K. Yesufu
This study was on the use of the market definition paradigm (MDP) to track ageing and temperature effects in lithium–ion cells. This was with a view to using the technique to obtain a sequence of equilibrium voltages from readily available datasets in order to profile the effects of ageing and temperature on cells and batteries. The method employed involved using the MDP with its capability to obtain
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Artificial intelligence-based optimal EVCS integration with stochastically sized and distributed PVs in an RDNS segmented in zones J. Electr. Syst. Inf Technol Pub Date : 2024-01-02 Ebunle Akupan Rene, Willy Stephen Tounsi Fokui
The growing interest in electric vehicles (EVs) for transportation has led to increased production and government support through legislation since they offer environmental benefits such as reduced air pollution and carbon emissions compared to conventional combustion engine vehicles. This shift toward EV technology aligns with the goal of preserving the natural environment. To fully utilize EVs, effective
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A review on action recognition for accident detection in smart city transportation systems J. Electr. Syst. Inf Technol Pub Date : 2023-11-27 Victor A. Adewopo, Nelly Elsayed, Zag ElSayed, Murat Ozer, Ahmed Abdelgawad, Magdy Bayoumi
Accident detection and public traffic safety is a crucial aspect of safe and better community. Monitoring traffic flow in smart cities using different surveillance cameras plays a crucial role in recognizing accidents and alerting first responders. In computer vision tasks, utilizing action recognition (AR) has contributed to high-precision video surveillance, medical imaging, and digital signal processing
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Sentiment analysis from textual data using multiple channels deep learning models J. Electr. Syst. Inf Technol Pub Date : 2023-11-23 Adepu Rajesh, Tryambak Hiwarkar
Text sentiment analysis has been of great importance over the last few years. It is being widely used to determine a person’s feelings, opinions and emotions on any topic or for someone. In recent years, convolutional neural networks (CNNs) and long short-term memory (LSTM) have been widely adopted to develop such models. CNN has shown that it can effectively extract local information between consecutive
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A novel ANFIS-controlled customized UPQC device for power quality enhancement J. Electr. Syst. Inf Technol Pub Date : 2023-11-20 S. Srimatha, Balasubbareddy Mallala, J. Upendar
Power quality is crucial for the reliable and efficient operation of domestic and industrial loads. Nonlinear power electronic converter loads have increased in usage, which has led to a decline in both voltage and current quality. To overcome these power quality issues, a universal power quality compensator (UPQC) has been developed and integrated into the power distribution network. The UPQC comprises
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Object detection using convolutional neural networks and transformer-based models: a review J. Electr. Syst. Inf Technol Pub Date : 2023-11-20 Shrishti Shah, Jitendra Tembhurne
Transformer models are evolving rapidly in standard natural language processing tasks; however, their application is drastically proliferating in computer vision (CV) as well. Transformers are either replacing convolution networks or being used in conjunction with them. This paper aims to differentiate the design of convolutional neural networks (CNNs) built models and models based on transformer,
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Analysis of grounding system transient with consideration of soil ionization and mutual coupling effect J. Electr. Syst. Inf Technol Pub Date : 2023-11-14 Kaushal Pratap Sengar, Kandasamy Chandrasekaran
The grounding system of an electrical substation provides safety to both operator and equipment. The lightning current waveform has a major influence on the dynamic performance of ground electrodes. If lightning current is large enough, soil will be ionized, which will have a great effect on the transient performance of the grounding system. Many numerical models have been developed to evaluate the
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The effect of electricity consumption determinants in household load forecasting models J. Electr. Syst. Inf Technol Pub Date : 2023-11-13 Hussein A. Bakiri, Hadija Mbembati
Usually, household electricity consumption fluctuates, often driven by several electrical consumption determinants such as income, household size, and price. Recently, research studies on the investigation of predictor variables in household electricity consumption have increased especially in the developing and newly industrialized countries. However, the studies just focus on identifying the predictor
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The impact of image augmentation techniques of MRI patients in deep transfer learning networks for brain tumor detection J. Electr. Syst. Inf Technol Pub Date : 2023-11-08 Peshraw Ahmed Abdalla, Bashdar Abdalrahman Mohammed, Ari M. Saeed
The exponential growth of deep learning networks has enabled us to handle difficult tasks, even in the complex field of medicine. Nevertheless, for these models to be extremely generalizable and perform well, they need to be applied to a vast corpus of data. In order to train transfer learning networks with limited datasets, data augmentation techniques are frequently used due to the difficulties in
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Application of bidirectional LSTM deep learning technique for sentiment analysis of COVID-19 tweets: post-COVID vaccination era J. Electr. Syst. Inf Technol Pub Date : 2023-11-06 Oluwatobi Noah Akande, Morolake Oladayo Lawrence, Peter Ogedebe
Social media platforms, especially Twitter, have turned out to be a major source of data repositories. They have become a platform that citizens can use to voice their concerns about issues that affect them. Most importantly, during the COVID-19 era, the platform was greatly used by governments and health organizations to sensitize people about the safety guidelines that they must adhere to so as to
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Techniques of infrared thermography for condition monitoring of electrical power equipment J. Electr. Syst. Inf Technol Pub Date : 2023-10-20 Ezechukwu Kalu Ukiwe, Steve A. Adeshina, Jacob Tsado
The application of computer vision continues to widen with advancement in technology. Imaging systems which provide necessary inputs to the computer-vision-based models can come in various ways. Such as X-ray images, Computed Tomography (CT) scan images, and Infrared (IR) images. This paper is a review of different application areas of infrared thermography (IRT) for monitoring the status of electrical
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Maximum power point tracking of a partially shaded solar photovoltaic system using a modified firefly algorithm-based controller J. Electr. Syst. Inf Technol Pub Date : 2023-10-19 Idoko Sunday John, Abubakar Abdulkarim, Gbenga A. Olarinoye
Solar photovoltaic (PV) system is one of the most promising power systems based on renewable energy sources, with several advantages compared to others. However, solar PV systems have a challenge of low conversion efficiency because most of the irradiances of the sun, which are channelled to the PV panels, are not fully utilized for power consumption. A more challenging situation of the system occurs
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Dielectric materials development using bio-waste: a review J. Electr. Syst. Inf Technol Pub Date : 2023-10-19 Norazwina Zainol, Nurfarhana Mustafa, Nor Hazwani Aziz, Azahani Natasha Azman, Mohamad Shaiful Abdul Karim
The increasing global demand for food due to population expansion has led to the intensification of the agricultural sector. However, this escalation in agricultural production has brought together undesirable consequences as more waste is produced, leading to growing environmental concerns as proper disposal of these wastes is necessary. Valorization of these bio-wastes into dielectric materials offers
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Characterization of the coding gain for M-PSK with conjoint signals under correlated Nakagami-m fading channels J. Electr. Syst. Inf Technol Pub Date : 2023-10-11 Edwin Omosa, Peter Akuon, Hongjun Xu, Vitalis Oduol
In the paper, a comprehensive analysis is presented on the conjoint coding gain achieved in arbitrarily correlated M-ary phase-shift keying (M-PSK) signals in a spatial diversity system. The system operates over Nakagami-m fading channels and is affected by additive white Gaussian noise (AWGN). The proposed signal synthesizer primarily induces an even phase shift in the output signals. To enhance the
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Management of Var sources for the reactive power planning problem by oppositional Harris Hawk optimizer J. Electr. Syst. Inf Technol Pub Date : 2023-09-19 Swetha Shekarappa G, Sheila Mahapatra, Saurav Raj
Reactive power management has grown more crucial for increased synchronization in modern power systems, since transmission loss minimization is a basic condition for secure power system operation. This paper proposes the Oppositional-based Harris Hawk Optimizer technique as an advanced meta-heuristic nature inspired methodology, which is applied on the conventional Ward Hale 6 bus system and the IEEE
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Classifying blinking and winking EOG signals using statistical analysis and LSTM algorithm J. Electr. Syst. Inf Technol Pub Date : 2023-09-19 Ahmed M. D. E. Hassanein, Ahmed G. M. A. Mohamed, Mohamed A. H. M. Abdullah
Detection of eye movement types whether the movement of the eye itself or blinking has attracted a lot of recent research. In this paper, one method to detect the type of wink or blink produced by the eye is scrutinized and another method is proposed. We discuss what statistical analysis can teach us about detection of eye movement and propose a method based on long short-term memory (LSTM) networks
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Forecasting household energy consumption based on lifestyle data using hybrid machine learning J. Electr. Syst. Inf Technol Pub Date : 2023-09-19 seidu agbor abdul rauf, Adebayo F. Adekoya
Household lifestyle play a significant role in appliance consumption. The overall effects are that, it can be a determining factor in the healthy functioning of the household appliance or its abnormal functioning. The rapid growth in residential consumption has raised serious concerns toward limited energy resource and high electricity pricing. The propose 134% electricity tariffs adjustment by Electricity
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Allocation of synchronized phasor measurement units for power grid observability using advanced binary accelerated particle swarm optimization approach J. Electr. Syst. Inf Technol Pub Date : 2023-09-04 Rohit Babu, Saurav Raj, Sheila Mahapatra
Large-scale power grid observability is still a challenge because of deteriorating infrastructure and the incorporation of renewable energy sources. A smart grid that makes use of cutting-edge technology, such as a phasor measurement unit (PMU), is an excellent option for monitoring and bringing networks up to speed with the latest information. Latterly, the considerable investment required for the
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GMA: Gap Imputing Algorithm for time series missing values J. Electr. Syst. Inf Technol Pub Date : 2023-08-30 Abd Alhamid Rabia Khattab, Nada Mohamed Elshennawy, Mahmoud Fahmy
Data collected from the environment in computer engineering may include missing values due to various factors, such as lost readings from sensors caused by communication errors or power outages. Missing data can result in inaccurate analysis or even false alarms. It is therefore essential to identify missing values and correct them as accurately as possible to ensure the integrity of the analysis and
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Healthcare predictive analytics using machine learning and deep learning techniques: a survey J. Electr. Syst. Inf Technol Pub Date : 2023-08-29 Mohammed Badawy, Nagy Ramadan, Hesham Ahmed Hefny
Healthcare prediction has been a significant factor in saving lives in recent years. In the domain of health care, there is a rapid development of intelligent systems for analyzing complicated data relationships and transforming them into real information for use in the prediction process. Consequently, artificial intelligence is rapidly transforming the healthcare industry, and thus comes the role
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The robust \(H_{\infty }\) control of stochastic neutral state delay systems J. Electr. Syst. Inf Technol Pub Date : 2023-08-25 Rajagounder Ravi Kumar, R. Naveen, V. Anandhi, A. Sudha
In this paper, the resilient stochastic neutral state delay system with the Markov chain problem is examined. It offers output feedback control based on discrete state space delay and uncertainty that appear under traditional delay-independent conditions and exist under neutral stochastic state delays. Lyapunov theory can be used to solve the formulation $$x_c(t)=x(t)-Cx(t-\tau )$$ for the intended
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Voltage-controlled oscillator based analog-to-digital converter in 130-nm CMOS for biomedical applications J. Electr. Syst. Inf Technol Pub Date : 2023-08-21 Dina M. Ellaithy
Medical implants and portable wireless sensors are the most serious of biomedical applications due to the dependence on limited battery lifetime. Consequently, energy efficiency integrated circuits designs must be put to higher attention. A particular distinguishing contribution of this paper is its focus on the power consumption that affects battery life and the heat dissipated for biomedical applications
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Real-time fault diagnosis system for electrical panel using embedded systems J. Electr. Syst. Inf Technol Pub Date : 2023-07-28 Parsa Parsafar, Payam Qaderi Baban
Regular maintenance inspections are necessary for industrial electrical panels. The project incorporated an IoT system that leverages embedded systems to streamline and expedite this process. This implementation rendered the electrical panel in real-time, enabling more efficient maintenance procedures. The project utilized an Odroid embedded system board as the central system controller and designed
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Design of PFC converter with stand-alone inverter for microgrid applications J. Electr. Syst. Inf Technol Pub Date : 2023-07-21 Sujith Boddu, Arnab Ghosh
The proposed topology is used to connect a single-phase and a three-phase renewable energy resources to the grid. The single-phase source is coupled to a single-phase PFC boost converter, which enhances the input PF utilizing two feedback loops: outer voltage loop control and inner current loop control. The basic hightlight is to study the PFC converter in microgrid application where renewables are
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MRDPGA: a multiple restart dynamic population genetic algorithm for scheduling road traffic J. Electr. Syst. Inf Technol Pub Date : 2023-07-17 Babangida Zachariah, Sanjay Misra, Philip O. Odion, Saidu R. Isah
A genetic algorithm is a biologically inspired stochastic approach to finding solutions to optimization problems. However, unlike its deterministic counterpart, it cannot guarantee a globally optimal solution since it may be trapped within a local optimum of the search space. Most researchers have focused on proposing new techniques for various parameters of genetic algorithms. That is a mutation,
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Transformer faults in tanzanian electrical distribution networks: indicators, types, and causes J. Electr. Syst. Inf Technol Pub Date : 2023-07-10 Hadija Mbembati, Hussein A. Bakiri
Transformers are essential and costly components of electrical secondary distribution networks (ESDNs). Distribution transformers provide electricity to low-voltage consumers that need a consistent power supply for their daily tasks. Transformer faults have an impact on ESDN power reliability. Even though several studies have attempted to investigate fault parameters; types, causes, and indicators
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Adaptive IIR model identification using chaotic opposition-based whale optimization algorithm J. Electr. Syst. Inf Technol Pub Date : 2023-07-10 Souvik Dey, Provas Kumar Roy, Angsuman Sarkar
Infinite impulse response (IIR) filter system recognition is a serious issue nowadays as it has many applications on a diversity of platforms. The whale optimization algorithm (WOA) is a novel nature-motivated population-based meta-heuristic algorithm where the hunting techniques of humpback whales are implemented to solve many optimization problems. But the main disadvantage of WOA is its stagnant
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Machine learning framework with feature selection approaches for thyroid disease classification and associated risk factors identification J. Electr. Syst. Inf Technol Pub Date : 2023-06-16 Azrin Sultana, Rakibul Islam
Thyroid disease (TD) develops when the thyroid does not generate an adequate quantity of thyroid hormones as well as when a lump or nodule emerges due to aberrant growth of the thyroid gland. As a result, early detection was pertinent in preventing or minimizing the impact of this disease. In this study, different machine learning (ML) algorithms with a combination of scaling method, oversampling technique
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Low-cost fuzzy logic-controlled home energy management system J. Electr. Syst. Inf Technol Pub Date : 2023-06-15 Furkan Acun, Mehmet Çunkaş
This paper presents a low-cost method for real-time energy management in residences. Light, motion, temperature, and sound sensors are system inputs. Lighting, heating, and cooling output powers are set according to sensor data and consumer conditions. The system is controlled by using three different fuzzy logic inference engines together with a microcontroller, sensors, and Nextion HMI display. The
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Performance evaluation of a low-cost real time COVID-19 health monitoring system J. Electr. Syst. Inf Technol Pub Date : 2023-06-14 Mayada Abdelgadir Ahmed, Monzir Hashim Mohammed, Ibrahim Hassan Ahmed
Recently, and to cater for increased needs on health monitoring and data management for COVID-19 patients, there has been a growing interest on the market place as well as on the research community to develop low cost and real time COVID-19 health monitoring system for Sudanese Ministry of Health. Unfortunately, insufficient rooms in isolation centers and hospitals can cause huge risks on Corona patients
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An improved whale optimization algorithm for the model order reduction of large-scale systems J. Electr. Syst. Inf Technol Pub Date : 2023-05-26 Dasu Butti, Sivakumar Mangipudi, Srinivasarao Rayapudi, Madhu Kiran Buddi, Kalyan Raj Kaniganti, Trinayani Chittajallu, Bhavana Rushi Dontu, Vijay Arun Dunna, RamaKrishna Boni, Chenchu Kishore Kumar Kothuri
An improved whale optimization algorithm (IWOA) is developed for the model order reduction (MOR) of large-scale systems (LSS) in this paper. An equivalent reduced order model (ROM) for the higher-order system (HOS) is derived by considering integral square error (ISE) as the objective function using IWOA. Many practical systems of single-input and single-output (SISO) and multi-input and multi-output
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Fault classification of three phase induction motors using Bi-LSTM networks J. Electr. Syst. Inf Technol Pub Date : 2023-05-25 Jeevesh Vanga, Durga Prabhu Ranimekhala, Swathi Jonnala, Jhansi Jamalapuram, Balaji Gutta, Srinivasa Rao Gampa, Amarendra Alluri
The induction motors are back bone of the modern industry and play very important role in manufacturing and transportation sectors. The induction motor faults are mainly classified into internal faults such as inter turn short circuits , broken rotors and external faults such as over load, over voltage faults and asymmetry in supply voltage. The identification of type of fault is very important for
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Investigation of the impact of PSO, ABC, BFO and Cuckoo search optimization techniques on UPFC device for sustainable voltage stability margin improvement J. Electr. Syst. Inf Technol Pub Date : 2023-05-15 Ndubuisi Hyginus Ikeli, Chinemezu Evans Ashigwuike, Ibitayo Isaac Alabi
This paper investigates the enhancement of voltage stability margin using Unified Power Flow Control (UPFC) device tuned with Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Bacterial Foraging Optimization (BFO) and Cuckoo Search techniques (CS) on Nigerian 330 kV 56-bus practical network. In order to have a voltage stable power system, it is good to keep voltages within the acceptable
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Modelling and analysis of three-phase grid-tied photovoltaic systems J. Electr. Syst. Inf Technol Pub Date : 2023-05-10 Abraham Dandoussou, Pierre Kenfack
The global warming of the planet is as a result of human activities. Fossil fuel depletion and its high prices have caused a worldwide economic instability; governments around the world turn to alternative energy sources that are pollution-free. Solar photovoltaic system is one of the biggest renewable energy resources to generate electrical power and the fastest growing power generation in the world
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Ultra-high birefringence with tuneable double zero chromatic dispersion-PCF: a theoretical analysis J. Electr. Syst. Inf Technol Pub Date : 2023-04-25 Emmanuel Kofi Akowuah, Patrick Atsu Agbemabiese, Alexander Kwasi Amoah
This work presents photonic crystal fibres made up of four hexagonal shape of four rings. Four structures have been designed and configured. The structures show improvement in optical properties consecutively to achieve the optimum configuration. The full vectorial finite-element method is adopted for this work. COMSOL Multiphysics is used for the simulation. The results show a birefringence of 1.308 × 10−2
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From face detection to emotion recognition on the framework of Raspberry pi and galvanic skin response sensor for visual and physiological biosignals J. Electr. Syst. Inf Technol Pub Date : 2023-04-18 Varsha Kiran Patil, Vijaya R. Pawar, Shreiya Randive, Rutika Rajesh Bankar, Dhanashree Yende, Aditya Kiran Patil
The facial and physiological sensor-based emotion recognition methods are two popular methods of emotion recognition. The proposed research is the first of its kind in real-time emotion recognition that combines skin conductance signals with the visual-based facial emotion recognition (FER) method on a Raspberry Pi. This research includes stepwise documentation of method for automatic real-time face
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A novel technique for forecasting the optimal production of a wind generator installed at any geographical point located within a very large area J. Electr. Syst. Inf Technol Pub Date : 2023-04-12 Bienvenu Macaire Agbomahena, Kossoko Babatoundé Audace Didavi, Richard Gilles Agbokpanzo
The need to integrate renewable energy sources into the energy mix is felt because of the many advantages they offer over fossil fuels, notably in terms of environmental protection and more uniformly distributed availability. The intermittent and stochastic ones, such as wind power, present many problems to network operators due to the volatile nature of their output power. This work presents a new
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Systematic literature review of the techniques for household electrical appliance anomaly detections and knowledge extractions J. Electr. Syst. Inf Technol Pub Date : 2023-04-12 Seidu Agbor Abdul Rauf, Adebayo F. Adekoya
The demand for electricity at home has increased in recent times globally, this high demand for continuous, stable and affordable power can be attributed to the demand for comfortable lifestyle of consumers but the quality and efficiency of the appliances being used remain questionable. Malfunctioning appliances usually show a power signature statistically different from their normal behavior, which
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A comparative study of big data use in Egyptian agriculture J. Electr. Syst. Inf Technol Pub Date : 2023-04-04 Sayed A. Sayed, Amira S. Mahmoud, Eslam Farg, Amany M. Mohamed, Ahmed M. Saleh, Mohamed A. E. AbdelRahman, Marwa Moustafa, Hisham M. AbdelSalam, Sayed M. Arafat
The Egyptian economy relies heavily on the agricultural sector. As the population grows, arable land will diminish in the next decades. This makes food supply a priority. Big data could help the agriculture sector to address food security, especially in Egypt. In this paper, we examined the role of big data in agriculture in response to three questions: (1) What are the trend in peer-reviewed papers
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Post algebras and ternary adders J. Electr. Syst. Inf Technol Pub Date : 2023-03-27 Daniel Etiemble
Except for qubits for which the different possible values are unordered, the different values of m-valued circuits either with voltage levels, current levels or charge levels are totally ordered. Either at the Math level (Post algebras) or at the circuit level, it means that each multiple valued level must be decomposed into binary levels, processed with binary computation and finally converted into
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Cognitive internet of things-based framework for efficient consumption of electrical energy in public higher learning institutions J. Electr. Syst. Inf Technol Pub Date : 2023-03-23 Ellen A. Kalinga, Simon Bazila, Kwame Ibwe, Abdi T. Abdalla
Electric energy is widely used to power homes, businesses, industries, and Higher Learning Institutions. However, the behavioral trend of using electricity poses challenges in saving energy. Most HLIs electricity users do not switch-off electrical appliances such as lights, fans, and air conditioners when not in use, resulting in high electricity bills and a shorter equipment life span. The literature
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Design and implementation of a secure mobile phone-based route navigator (mGuide), adapted for the visually challenged people J. Electr. Syst. Inf Technol Pub Date : 2023-03-21 Nicholas Ososi Onkoba, Patrick Karimi, Paul Onkundi Nyangaresi
This paper is focused on the development of a turn-by-turn voice navigation mobile application “mGuide” adapted for visually challenged people (VCP). The application was developed in response to the challenges of outdoor navigation by VCP. The application optimizes five map servers to give not only the best real-time routing at any instance but also faster loading and retrieval of route data into the
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Web-based payroll management system: design, implementation, and evaluation J. Electr. Syst. Inf Technol Pub Date : 2023-03-20 Ayah Mohammad Ahmed, Chira Nadheef Mohammed, Akeela Mustafa Ahmad
The management of employees' salaries is an extremely complex task and time-consuming job due to having a large volume of payroll data and calculations. In many developing regions and countries including the Kurdistan Region of Iraq, the accounting processes of salary are manual. This leads to low speed in the calculation processes of deductions and allowances, easy making errors, difficulty to maintain
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An automated guide to COVID-19 and future pandemic prevention and management J. Electr. Syst. Inf Technol Pub Date : 2023-03-16 George Emeka Okereke, Okechukwu Azegba, Emmanuel Chukwudi Ukekwe, Stephenson Chukwukanedu Echezona, Agozie Eneh
In this paper, we present CoFighter, a mobile application for prevention and management of COVID-19 and other related pandemics in the globalized world. We took advantage of the proliferation of mobile smart devices in every home to design and implement an Android application for COVID-19 and similar pandemics. Since the outbreak of COVID-19 pandemic in 2019, there has been even more serious pressures