Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

29,939 Article Results

Review on optimal planning and operation of charging stations for electric vehicles

10.11591/ijape.v14.i2.pp359-372
M. S. Arjun , N. Mohan , K. R. Satish , Arunkumar Patil , D. P. Somashekar
Several factors need to be taken into account while planning the locations of electric vehicle charging stations. The thoughtful design and arrangement of charging stations, as a crucial component of the infrastructure supporting electric vehicles, is essential for the advancement of these kinds of vehicles. However, a number of intricate aspects, including policy economics, charging demand, user comfort when charging, and traffic circumstances, influence the design and arrangement of charging stations. With the goal to uncover competing interests and opportunities for collaboration in the operation and development of charging infrastructure, this study intends to assist researchers and technology developers in investigating cutting-edge techniques from the viewpoint of each constituent. Additionally, only a strong electric vehicle charging station (EVCS) infrastructure may provide some of the answers to the most basic EV concerns, like EV cost and range. The literature claims that several sorts of techniques, objective functions, and constraints for issue formulation have been used by the scholars. In addition, sensitivity analysis, vehicle to grid strategy, integration of distributed generation, charging kinds, objective functions, restrictions, EV load modelling, uncertainty, and optimization methodologies are examined for the most recent research publications. Discussions occur as well regarding the effects of the EV load on the distribution network, the environment, and the economy.
Volume: 14
Issue: 2
Page: 359-372
Publish at: 2025-06-01

Speed control of induction motor using fuzzy logic based on internet of things

10.11591/ijape.v14.i2.pp488-497
Charles Ronald Harahap , F. X. Arinto Setyawan , Desi Budiati
The aim of this research was to propose an innovative method of controlling the speed of an induction motor (IM) using fuzzy logic, integrated with internet of things (IoT). To achieve this aim, fuzzy logic was used to increase the performance of IM in order to obtain stable speed and high system response even in the presence of disturbances. Moreover, fuzzy logic relied on rules that used linguistic variables, and its main advantage was simple yet highly accurate, enabling the system to be efficient for determining parameters compared to the time-consuming and inefficient trial-and-error method. In this research, IoT implementation used Blynk platform to control and monitor IM speed remotely. Additionally, the components used in this research included an inverter, gate driver, Arduino Mega 2560, and NodeMCU ESP8266. Pulse width modulation (PWM) was required to obtain rotational speed of the motor through MOSFET switching process. The gate driver amplified PWM signal from Arduino Mega 2560, allowing MOSFET to operate. As a result, IM achieved a stable speed, and the system response followed the reference using fuzzy logic. In addition to this process, the system could be controlled and monitored remotely. Finally, the control system was successful, and the results were presented to show the viability of the proposed method.
Volume: 14
Issue: 2
Page: 488-497
Publish at: 2025-06-01

Development of character extraction techniques to detect chicken gender based on egg shape

10.11591/ijeecs.v38.i3.pp1851-1861
Adil Setiawan , Yuhandri Yuhandri , Muhammad Tajuddin
This research investigates the differentiation of chicken sex based on egg shape images by developing an innovative eccentricity shape feature extraction method. The goal is to determine the sex of chickens before hatching, by identifying the sex of the egg prior to incubation. Images of eggs are captured using a smartphone camera, creating a dataset of 150 images each of male and female eggs, with expert assistance. The research aims to accurately identify male and female eggs, aiding breeders in sorting them. The research introduces a unique method to expand the eccentricity value range, enhancing the precision of egg shape analysis. Characteristic extraction results include: area = 1290194, eccentricity = 6.56, contrast = 0.03, correlation = 0.99, energy = 0.44, and homogeneity = 0.98, with a previous value of 0.72. For Feature Selection, the values obtained are: eccentricity = 0.901188049, Area = 0.73, Energy = 0.03, Contrast = 0.01, Homogeneity = 0.01, and Correlation = 0.01. These findings demonstrate significant improvements in differentiating chicken sex from egg images, showcasing the effectiveness of the newly developed eccentricity shape feature extraction method.
Volume: 38
Issue: 3
Page: 1851-1861
Publish at: 2025-06-01

Voltage profile enhancement in grid system using expert system

10.11591/ijape.v14.i2.pp449-458
G. Sathish Goud , R. Senthil Kumar
Frequent and severe blackouts are been attributed to insufficient voltage stability, resulting in voltage collapse. To mitigate this issue and ensure adequate voltage stability and damping in power systems, this study explores smart grid solutions. The proposed control strategies are applied to a distribution static synchronous compensator (DSTATCOM) within a multi-machine system. The recommended approach, radial basis function neural network (RBFNN)-DSTATCOM with support vector machine (SVM), incorporates a PI controller to minimize system deviations. The damping performance of the RBFNN-DSTATCOM controller is analyzed against a fixed-parameter proportional-integral (PI)-DSTATCOM controller. Simulation analysis indicates that the proposed RBFNN-DSTATCOM controller effectively enhances power system stability under various disturbances and operating conditions. Critical bus graphs are provided for scenarios both with and without the DSTATCOM. A parametric evaluation is conducted using the 'powergui' toolbox based on the system's standard ratings. Finally, a comparative analysis is presented, utilizing the results from both systems, with all graphs plotted against time using the power system analysis toolbox (PSAT) in MATLAB.
Volume: 14
Issue: 2
Page: 449-458
Publish at: 2025-06-01

Optimizing diabetes prediction using machine learning: a random forest approach

10.11591/ijaas.v14.i2.pp454-468
Aone Maenge , Tshiamo Sigwele , Cliford Bhende , Chandapiwa Mokgethi , Venumadhav Kuthadi , Blessing Omogbehin
Diabetes, a leading cause of global mortality, is responsible for millions of deaths annually due to complications such as heart disease, kidney failure, and stroke. Projections indicate that 700 million people will be affected by diabetes in 2045, placing immense strain on global healthcare systems. Early detection and accurate prediction of diabetes are essential in mitigating complications and reducing mortality rates. However, existing diabetes prediction frameworks face challenges, including imbalanced datasets, overfitting, inadequate feature selection, insufficient hyperparameter tuning, and lack of comprehensive evaluation metrics. To address these challenges, the proposed random forest diabetes prediction (Random DIP) framework integrates advanced techniques such as hyperparameter tuning, balanced training, and optimized feature selection using a random search cross-validation (RandomizedSearchCV). This framework significantly improves predictive accuracy and ensures reliable clinical applicability. Random DIP achieves 99.4% accuracy, outperforming related works by 7.23%, the area under curve (AUC) of 99.6%, surpassing comparable frameworks by 7.32%, a recall of 100%, exceeding existing models by 9.65%, a precision (97.8%), F1-score (98.9%), and outperformance of 6.69%. These metrics demonstrate Random DIP's excellent capacity to identify diabetes cases while minimizing false negatives (FPs) and providing reliable predictions for clinical use. Future work will focus on integrating real-time clinical data and expanding the framework to accommodate multi-disease prediction for broader healthcare applications.
Volume: 14
Issue: 2
Page: 454-468
Publish at: 2025-06-01

Optimization of sales by applying e-commerce and digital marketing through social networks

10.11591/ijeecs.v38.i3.pp2079-2089
Misael Lazo-Amado , Paico-Campos Meyluz
Companies must have a strategy plan to satisfy their users and implement new methods to work with technology since people nowadays are more related to technology avoiding traditional sales and having virtual sales is why it has the objective of optimizing sales in companies by applying e-commerce and digital marketing through social networks. The methodology was carried out with Scrum, which has five stages (planning meeting, sprint backlog, daily meetings, sprint review, and retrospective review) that allows to comply with each established sprint showing as a result a functional project. As a result indicates the solution of each phase of the methodology getting the ecommerce system, with a validation by 7 experts specialized in (realism, integration, adaptability, technology, innovation, functionality, and usability) indicating a total of 93% showing a perfect state of the system and meets the satisfaction for the user and finally indicates the development of digital marketing by the social network Facebook showing a great improvement in their sales reaching up to triple their sales.
Volume: 38
Issue: 3
Page: 2079-2089
Publish at: 2025-06-01

Effective assessment of power transformer insulation using time-varying model without temperature constraints

10.11591/ijape.v14.i2.pp373-381
Sachin Yashawant Sayais , Chandra Madhab Banerjee
This paper proposes a method for insulation diagnosis using the time-varying model. The parameters of the stated model are unique and can be recognized by the polarization current. Several methodologies have been reported for insulation diagnosis using various insulation models. However, moisture information without considering the effect of measurement temperature is bound to provide inaccurate result. Temperature significantly affects the dielectric response of materials. As the temperature rises, various important changes take place. Increased temperatures can boost molecular mobility, resulting in higher polarization, which in turn affects the material's dielectric constant and loss. Additionally, higher temperatures typically raise conductivity due to improved charge carrier mobility, further influencing the dielectric response. Hence, the effect of measurement temperature on insulation diagnosis is discussed in this paper so that responses recorded at different temperatures can be effectively compared. The proposed methodology for determining insulation state is tested using data from real-life power transformers.
Volume: 14
Issue: 2
Page: 373-381
Publish at: 2025-06-01

Analyzing the key factors and perspectives of stakeholders in pavement maintenance

10.11591/ijaas.v14.i2.pp336-344
Jaykumar Soni , Rajesh Gujar , MohammedShakil S. Malek
Road infrastructure is important for societal and economic development; therefore, it is crucial to maintain the durability and safety of the pavements. The present study investigates the domain of pavement maintenance by thoroughly analyzing the factors affecting the quality of pavement considering diverse groups of stakeholders. The study explored various flexible pavement defects (distress factors i.e., potholes, alligator cracks, longitudinal cracks, transverse cracks, hungry surfaces, streaking, shoving, rutting, and raveling). The opinions of stakeholders from various sectors such as public, private, and academia are collected through surveys, interviews, and detailed discussions. The collected data is analyzed using advanced statistical tools such as analysis of variance (ANOVA), post hoc test, criticality index, and Spearman rank correlation, which revealed patterns and correlations between stakeholder views. This study highlights diverse perspectives on pavement distress factors, providing valuable insights into the decision-making process. The findings of this research will help policymakers prioritize pavement maintenance based on the prevailing distresses, highlighting the importance of informed decision-making in pavement maintenance and management practices.
Volume: 14
Issue: 2
Page: 336-344
Publish at: 2025-06-01

Crowdfunding platform integrated with cryptocurrency payment support

10.11591/ijaas.v14.i2.pp598-608
Rosalina Rosalina , Genta Sahuri
Crowdfunding platforms often face challenges such as high transaction fees, limited global accessibility, and reliance on traditional banking systems, which restrict participation and efficiency. These limitations hinder the full potential of crowdfunding, particularly for global contributors and projects. This research addresses these issues by proposing the development of a mobile crowdfunding platform integrated with cryptocurrency payment support. By incorporating cryptocurrency, the platform aims to reduce transaction costs, remove geographical barriers, and enhance transaction security through blockchain technology. The platform is built using a cross-platform mobile framework to ensure broad accessibility while integrating cryptocurrency gateways for decentralized financial transactions. This allows for real-time, secure, and low-cost payments, offering a transparent and efficient process for both contributors and fundraisers. Additionally, the platform's design supports scalability to accommodate various cryptocurrencies and an expanding user base. The findings demonstrate that cryptocurrency payment integration significantly improves transaction speed, reduces fees, and enhances security compared to traditional payment methods. It also fosters global participation, increasing engagement in crowdfunding initiatives.
Volume: 14
Issue: 2
Page: 598-608
Publish at: 2025-06-01

Road pavement deformation using remote sensing technique

10.11591/ijaas.v14.i2.pp345-351
Kishan Patel , Rajesh Gujar
The road surface reflects the status of the city’s infrastructure. Road safety and driving comfort can be affected by the rough surface. To minimize road hazards, pavement conditions must be periodically inspected for damaged surfaces. A quick and efficient data collection can be provided by the radar images. For a large spatial coverage, radar image provides a non-destructive data collection technique for analyzing road conditions and classifying distress. The surface distress can be correlated by analyzing the images collected from high-resolution cameras and satellites. This article outlines the applicability of synthetic aperture radar (SAR) and interferometric synthetic aperture radar (InSAR) based images to manage and monitor pavement infrastructure. Therefore, the detection of deteriorating surfaces can be improved by analyzing the radar images timely. The results showed the deficiencies on the surface that can be used to mitigate bad pavement conditions and allow road users to use good road infrastructure with safety and comfort.
Volume: 14
Issue: 2
Page: 345-351
Publish at: 2025-06-01

Methodology for incisive foraging of high-risk junctions and elimination of injected false data in smart grid

10.11591/ijape.v14.i2.pp347-358
Poulami Ghosh , Subrata Biswas , Prithwiraj Purkait
The present work represents a method for identification of the vulnerable nodes in smart grid as well as assessment of the performance of voltage stability indicator technique with the help of weighted least square scheme. in today’s smart grid system, false data injection (FDI) is the major issue to supply uninterruptedly at demand side in advanced metering infrastructure (AMI). The recent blackouts are the consequence of non-identifying FDI as research on FDI is not considered under power system analysis. In our research, vulnerable nodes of a power system network have been identified and a state estimation method was used to eliminate superfluous data for those identified nodes. Voltage stability indicator (VSI) based state estimation have been used successfully to make the smart grid system error free as possible. VSI method has been used first to find the vulnerable nodes of the grid after that the efficient state estimation method i.e. optimal weighted least square (optimal WLS) have been employed to get refined result. Results show that VSI based technique in concurrence with optimal WLS has potential to eliminate undesirable data with sensible level of precision.
Volume: 14
Issue: 2
Page: 347-358
Publish at: 2025-06-01

Speed control of BLDC motor using PID controller

10.11591/ijape.v14.i2.pp401-411
Tirunagari Bhargava Ramu , Sreevardhan Cheerla , Ravi Kumar Kallakuta , Kaja Krishna Mohan , Syed Inthiyaz , Nelaturi Nanda Prakash , Bodapati Venkata Rajanna , Cheeli Ashok Kumar
The current state of science, technology, and industrial revolutions did not occur overnight. Many years of empirical study attempts by human intelligence have led to the world's current status. As a result, new technologies and innovations would constantly propel human civilization forward. Another outstanding invention of the present day is the brushless DC (BLDC) motor. This paper outlines the design of a BLDC motor control system utilizing MATLAB/Simulink software. The main aim of this project is to control the speed and to obtain time domain specifications of PID controller. The application of speed control of motor is vast and also required to maintain the work efficient without any disturbance, the power consumption, and any other fuel to run. On the basis of this the brushless DC motor as application is selected because of reduction in losses and also the power. The PID control system is built to control the speed of the motor and gives the precise output. The universal bridge is used to amplify the current in the output of the application. PID controller reduces the error and increases the stability of the system.
Volume: 14
Issue: 2
Page: 401-411
Publish at: 2025-06-01

Solar and battery input super boost DC–DC converter for solar powered electric vehicle

10.11591/ijape.v14.i2.pp479-487
Aerpula Yadagiri , Srinivasa Rao Talagadadeevi , Seetamraju Venkata Bala Subrahmanyeswara Rao , Bitra Janardhana Rao , Syed Inthiyaz , Nelaturi Nanda Prakash , Bodapati Venkata Rajanna , Cheeli Ashok Kumar
The electric vehicle (EV) is increasingly emerging as an attractive solution to reduce reliance on fossil fuels in India. In commercial EVs, solar photovoltaic (PV) technology is employed both to charge the battery and power the vehicle. However, the conventional bidirectional DC-DC converter layout results in underutilization of solar PV power when the battery's state of charge (SOC) reaches maximum capacity. This work offers a unique dual input super boost (DISB) DC-DC converter designed specifically for solar-powered electric vehicles (EVs) to address the aforementioned challenge. The recently suggested converter operates in six different modes to effectively capture solar photovoltaic (PV) power. Notable benefits of this design include a wide range of speed control and fewer conduction devices in each mode, which eventually result in increased overall efficiency. An extensive analysis of the suggested DISB DC-DC converter is carried out by the study, encompassing detailed examination of operating waveforms and dynamic evaluations. Furthermore, the converter's performance and operation under the six different modes are verified through simulation.
Volume: 14
Issue: 2
Page: 479-487
Publish at: 2025-06-01

Study of a model of a satellite structure that meets the necessary criteria for stability and rotation in space

10.11591/ijaas.v14.i2.pp502-512
Mahmoud Fadhel Idan , Osamah Mahmood Hussein
The study aimed to create a model of a satellite structure that meets the necessary criteria for stability and rotation in space. The satellite being analyzed has an octagonal shape, with a diameter of 110 cm and a height of 85 cm. A dynamic modeling approach was used to analyze the structural properties, and the finite element method (FEM) was employed for computational analysis. This method allowed for a comprehensive evaluation of stress, displacement, and vibration distribution throughout the structure, providing insight into the behavior of the communications satellite in space. The test model frame consists of plates and bars arranged in an octagonal shape. The analysis utilized the von Mises stress (σvM) criterion to assess the yield strength or brittleness of the chosen material, 7,057 aluminum alloy. The study revealed that the structure demonstrates stability in six different modes but also exhibits deformation due to modifications in the basic arrangement. Additionally, transient fluctuations in the spacecraft's position over a 24-hour cycle result in changes in torque. The structure remains stable within a specified frequency range starting at 150 Hz when subjected to vibration stimuli, and no external instability was detected within this range.
Volume: 14
Issue: 2
Page: 502-512
Publish at: 2025-06-01

Impact of natural-white and red-blue light-emitting diode lighting on hydroponic basil growth and energy efficiency

10.11591/ijaas.v14.i2.pp406-415
Chaiyant Boonmee , Warunee Srisongkram , Wipada Wongsuriya , Patcharanan Sritanauthaikorn , Paiboon Kiatsookkanatorn , Napat Watjanatepin
Advanced phosphor-converted white light-emitting diodes (pc-WLEDs) have been developed to mimic the natural sunlight spectrum, potentially enhancing plant growth compared to traditional red-blue (R-B) LEDs. This study aimed to compare the effects of natural-white pc-WLED (nsW-pcLED) and conventional R-B LED (R:B 3.24) on the growth, yield, and energy efficiency of hydroponically grown sweet basil. It was cultivated in a deep-water culture system under identical conditions with a photosynthetic photon flux density (PPFD) of 200±10 µmol·m⁻²·s⁻¹ and a 16/8 light/dark photoperiod over 28 days. Key growth parameters, including plant height, stem diameter, leaf number, and plant fresh weight (PFW), were measured, while energy consumption was recorded to assess efficiency. Results indicated that nsW-pcLED significantly enhanced growth, with plants achieving an average height of 44.30±1.51 cm, stem diameter of 6.68±0.21 mm, and a PFW of 34.20±6.12 g, compared to 35.88±4.05 cm, 4.66±0.88 mm, and 23.02±5.26 g under R-B LED (p <0.05), respectively. The nsW-pcLED treatment produced an average net growth of 1,221 g·m⁻² versus 536.43 g·m⁻² for R-B LED and delivered 33.05 g·m⁻²·kW·h⁻¹ compared to 11.17 g·m⁻²·kW·h⁻¹, while consuming 23% less energy. These findings highlight nsW-pcLED’s superior performance for indoor hydroponic cultivation. Future studies should explore its application in large-scale systems and across diverse crop species.
Volume: 14
Issue: 2
Page: 406-415
Publish at: 2025-06-01
1 2 3
...
1995 1996
Show 188 of 1996

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration