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2024 Asia Pacific Conference on Innovation in Technology, APCIT 2024

作者： Muthuswamy, Jayanthi Parvathy, A. Reddy, Chanda V Sree, B. Hima Reddy, B. Dheeraj Chowdary, G. Krithi New Horizon College of Engineering Department of Electronics and Communication Engineering Bengaluru India SASTRA University School of Electrical and Electronics Engineering Thanjavur India K. S Institute of Technology Department of Computer and Communication Engineering Bengaluru India

ISBN: (纸本)9798350361537

In the field of wireless communications, the design and optimization of microstrip patch antennas play a crucial role in achieving efficient and reliable wireless connectivity. This paper is used to explore the performance characteristics of an inset-fed patch microstrip antenna employing various substrates. In this work, we investigate the impact of substrate selection on the antenna's performance in order to advance ourunderstanding and contribute to the development of more effective wireless communication systems. The effectiveness of inset-fed patch microstrip antennas using various substratematerials is examined in this proposed work. In order to fabricate antennas, a variety of substrates, including as FR-4, high-frequency dielectrics, are used. Gain, radiation patterns, and impedance matching are the main considerations. Engineers can choose the best materials and insights into how substrate features affect antenna characteristics. This proposedwork provides valuable suggestion for antenna design and optimization by investigating radiation patterns, gain, and return loss for each substrate using computer Simulation Technology (CST) Microwave studio. © 2024 IEEE.

关键词： Slot antennas

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Application of Support Vector Machine Algorithm in Real-time Bearing Fault Diagnostic Model for Single-phase Induction Motor using Hilbert-Huang Transform as Feature Extractor 7

Application of Support Vector Machine Algorithm in Real-time...

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7th International Conference on electrical, Telecommunication and computer engineering, ELTICOM 2023

作者： Herrera, Francis Gabriel M. Mortera, Maurice Benjamin E. Ostia, Conrado F. Mapúa University Department of Electrical Electronics and Computer Engineering Manila City Philippines

ISBN: (纸本)9798350385526

The most common motor fault among electrical motors is a bearing fault. Different bearing faults produce different vibrations which can be recognized by machine learning algorithms. A real-time mechanical motor bearing fault diagnosis system using a Support Vector Machine classifier and Hilbert-Huang Transform as feature extraction was proposed in this study. The real-time motor bearing fault diagnosis model system was run using MATLAB software to communicate with an accelerometer as a vibration sensor. Six (6) bearing fault types were used to simulate different bearing faults. The average accuracy obtained during the testing of the model was 78.96%. © 2023 IEEE.

关键词： Empirical mode decomposition

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High Performance Tracking Optimal Linear Matrix Inequality-Fractional-order PI for MIMO Processes 1

High Performance Tracking Optimal Linear Matrix Inequality-F...

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1st International Conference on Innovative engineering Sciences and Technological Research, ICIESTR 2024

作者： Devan, P. Arun Mozhi Nagarajapandian, M. Anitha, T. Assaad, Maher Hussin, Fawnizu Azmadi Universiti Teknologi Petronas Department of Electrical and Electronics Engineering Seri Iskandar32610 Malaysia Sri Ramakrishna Engineering College Department of Electronics and Instrumentation Engineering Tamil Nadu Coimbatore India Ajman University Department of Electrical and Computer Engineering Al Jerf 1 Ajman United Arab Emirates

ISBN: (纸本)9798350348637

The simple design, tuning, and quick implementation of the PI family of controllers influence single-input, single-output (SISO) process control applications. However, with the industrial revolution, many industrial processes are now designed as multiple-input multi-output (MIMO) systems. The conventional controllers in this process produce suboptimal performance due to the system's non-linear, interacting, and dynamic nature. A linear matrix inequality-based fractional-order PI (LMIFPI) controller is proposed to address and overcome the quadruple-tank system's (QTS) interaction behaviour. In addition, the simulated annealing (SA) optimization algorithm is employed to determine the controller parameters using the integral square error (ISE) as the desired objective function. Experimental results indicate that the proposed controller achieved an almost 33.1652% faster settling time, a 7.651% reduction in overshoot, and a nearly 1.7% quicker rise time performance. © 2024 IEEE.

关键词： MIMO systems

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Harvesting Renewable Energy from Foot Pedal Using Rotational Electromagnetic Induction Flywheel 15

Harvesting Renewable Energy from Foot Pedal Using Rotational...

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15th International Conference on computer and Automation engineering, ICCAE 2023

作者： Montalban, Patricia Angelica R. Pizarra, Nyxzel S. Magwili, Glenn V. Mapua University Department of Electrical Electronics and Computer Engineering Manila City Philippines

ISBN: (纸本)9798350396225

Philippines is one of the highest electricity prices in the ASEAN where harnessing renewable energy using wasted human effort is necessary. The global pandemic COVID-19 is spreading and because of this, establishments have required sanitation. The study's main objective is to Develop a Rotational Electromagnetic Induction Flywheel using Foot Pedal as Actuation to Harvest Renewable Energy. T-test was used to validate the results using the battery percentage of a power bank as the parameter, where there is a significant difference between single and multiple actuations with an attached mechanical dispenser and without. The system was able to harness an average of 0.30992 Watt-hour and 6.11476 Watt-hour in 5 daily trials for single and multiple controlled set-ups without mechanical dispenser respectively. An average of 0.2441 Watt-hour and 5.0027 Watt-hour for single and multiple controlled set-ups with mechanical dispenser correspondingly. Lastly, an average of 3.2924 Watt-hour in 5 daily trials for uncontrolled set-up. © 2023 IEEE.

关键词： Electromagnetic induction

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2D Polynomial Regression Modeling for Predictive Analysis of Glucose Concentration in NP-Model Fractal Microwave Sensor Using Frequency and Transmission Coefficient Disparities 13

2D Polynomial Regression Modeling for Predictive Analysis of...

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13th International electrical engineering Congress, iEECON 2025

作者： Nantapanich, Nutyada Mahatthanajatuphat, Pisit Wongsin, Norakamon Lee, Wilaiporn Rajamangala University of Technology Thanyaburi Faculty of Engineering Department of Electronics and Telecommunication Engineering Pathum Thani Thailand Yothinburana School Regular Program in Mathematics-Science Bangkok Thailand King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangkok Thailand

ISBN: (纸本)9798331543952

The article introduces a two-dimensional polynomial regression model for the predictive analysis of glucose concentration in a fractal microwave sensor NP model, utilizing frequency and transmission coefficient differences to examine their correlation with glucose concentration levels. The sensor employed in this investigation is fabricated on an economical FR-4 substrate to minimize costs. The sensor structure is developed with the fractal structure reduction method established by the NP model to operate at a frequency of roughly 2.97 GHz. The CST Studio software is utilized to analyze the findings from the simulation of the suggested sensor structure. Furthermore, the proposed sensor is integrated into a test apparatus comprising a sensor platform and a liquid tube constructed from PPA material. The liquid under examination is a glucose and water mixture at varying concentrations. It was analyzed using a VNA instrument to evaluate its frequency response and the magnitude of the alteration in the transmission coefficient. The values are utilized to create a two-dimensional polynomial regression model. The experiments demonstrated that the proposed sensor model possesses an Adjusted R² value of 0.99499 and an average error of approximately 3.57% for glucose concentration analysis throughout the range of 5% to 30%, with sensitivities of 0.00879 dB/% for insertion loss and 0.092 MHz/% for frequency variation, facilitating accurate glucose concentration prediction analysis. © 2025 IEEE.

关键词： Polynomial regression

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Enhanced DehazeFormer: an image and video haze removal method based on SwinTransformer for superior quality

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Multimedia Tools and Applications 2025年 1-33页

作者： Ayoub, Abeer El-Shafai, Walid Aouf, Mohamed Abd El-Samie, Fathi E. Hamad, Ehab K. I. El-Rabaie, S. Electrical Engineering Department Faculty of Engineering Aswan University Aswan81542 Egypt Prince Sultan University Riyadh11586 Saudi Arabia Department of Electronics and Electrical Communication Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Biomedical Engineering Department Higher Technological Institute P.O. Box 228 Tenth of Ramadan City Egypt Department of Information Technology College of Computer and Information Sciences Princess Nourah bint Abdulrahman University Riyadh84428 Saudi Arabia

The visual quality of images and videos is significantly degraded by atmospheric particles such as smoke and dust, leading to the haze problem, which is characterized by low contrast and a whitish veil obscuring the content. Dehazing techniques have been developed to mitigate these effects and restore sharp, visually appealing imagery. This paper presents an enhanced dehazing approach, referred to as the Enhanced DehazeFormer technique, which integrates both preprocessing and dehazing stages to produce high-quality dehazed images. The proposed method incorporates a three-step preprocessing phase aimed at reducing noise and enhancing dynamic range, issues commonly introduced by measurement device errors and other external factors. Prior to dehazing, each image or video frame undergoes homomorphic filtering, followed by Contrast Limited Adaptive Histogram Equalization (CLAHE) and a fast dehazing algorithm to further improve visual quality. The dehazing stage utilizes an extended and customized Swin Transformer architecture, known as DehazeFormer, which is tailored specifically for haze removal tasks. The preprocessed frames are input into the modified Swin Transformer to generate dehazed outputs of superior visual quality. The proposed technique is thoroughly evaluated on visible images, Near-Infrared (NIR) frames, and real-world hazy datasets to assess its effectiveness. Evaluation metrics include entropy, Peak Signal-to-Noise Ratio (PSNR), Feature Similarity Index (FSIM), Feature Similarity Index Chromatic (FSIMC), edge intensity, average gradient, and correlation, all of which are used to quantitatively measure dehazing performance. Furthermore, histograms and spectral entropy analyses are employed to compare the proposed method against other dehazing techniques. A comparative analysis is conducted using five frames from each type of visible and NIR videos to assess the performance of the baseline DehazeFormer and the enhanced DehazeFormer technique. Additional eva

关键词： Image enhancement

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High Efficiency Bridgeless Single-Power-Conversion Battery Charger for Light Electric Vehicles

High Efficiency Bridgeless Single-Power-Conversion Battery C...

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2023 IEEE International Conference on Intelligent and Innovative Technologies in Computing, electrical and electronics, ICIITCEE 2023

作者： Kumar, M. Sai Rangarajan, Shriram S. Shiva, Chandan Kumar Nookala, Shruthi Sriram, Kunda Deepthi, Nuka Sai Vipul, Deva Nishitha, Gudelli SR University Department of Electrical and Electronics Engineering Telangana Warangal506371 India Dayananda Sagar College of Engineering Department of Electrical and Electronics Engineering Karnataka Bengaluru India Clemson University Department of Electrical and Computer Engineering ClemsonSC United States

ISBN: (纸本)9781665462631

Due to the high efficiency and power factor of rechargeable batteries, they require high-power-density and bridgeless single-conversion battery chargers. In this paper, we introduce a bridgeless AC-DC converter that can provide high efficiency and low reverse-recovery losses. The proposed device features a series-resonance current injection system and a linear feedback algorithm to control the output power. Because of the simplicity of the circuit construction, it has a high efficiency and power factor. The suggested charger's theoretical concepts are tested in an actual setting using a 1.7 kW prototype. © 2023 IEEE.

关键词： Charging (batteries)

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Controller Design for Hybrid AC/DC Microgrid System with Renewable Sources and Motor Loads 3

Controller Design for Hybrid AC/DC Microgrid System with Ren...

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3rd International Conference on Advances in electrical, Computing, Communication and Sustainable Technologies, ICAECT 2023

作者： Sen, Sachidananda Rangarajan, Shriram S. Shiva, Chandan Kumar Vedik, B. Kumar, Ritesh Shruthi, N. SR University Department of Electrical and Electronics Engineering Telangana Warangal506371 India Dayananda Sagar College of Engineering Department of Electrical and Electronics Engineering Karnataka Bengaluru India Clemson University Department of Electrical and Computer Engineering ClemsonSC United States

ISBN: (纸本)9781665494007

The present trends in power system is gradually shifting towards the vision of smart grids. Here, the present distribution system is moving from being passive to active in nature because of increasing penetration of Renewable Energy Sources (RESs). This is resulting into formation of microgrids (MGs) having its own sources and loads. Now, the grid connected and islanded mode are operated in MGs. The working of MGs in presence of motor loads is very crucial control problem due to low inertia in the RESs. This paper introduces the integrated ac/dc MG that are applicable in a real-time controller design, which include renewable energy conservation and motor loads. When the hybrid microgrid is separated from the utility grid, it is works in special mode for acceptance of intermittent generation of the RESs. This calls for storage of the energy to provide good quality power supply to the loads especially the motor loads. It proposes the power flow control of the ac/dc hybrid MG with the help of converters which are of bidirectional nature. An AC/DC dual-powered converter is capable of cutting off active and passive power which are connected to ac to dc bus and it controls the frequency of the MG system and power flow. The output from generator is connected to the solar by the function of maximum power point tacking which is high by using a DC/DC booster converter. The battery banks that are attached to store the energy and increases the stability of the system. Because of low inertial characteristics of power electronic converters, the working of motor load is emphasized. The test results are presented to confirm the proposed AC/DC hybrid MG control scheme. © 2023 IEEE.

关键词： Dynamic loads

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Building Robust Fraud Detection Model for Insurance Claims Using SMOTE 3rd

Building Robust Fraud Detection Model for Insurance Claims U...

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3rd International Conference on Universal Threats in Expert Applications and Solutions, UNI-TEAS 2024

作者： Malathi, M. Armash, S. M. Mohammed Kavitha, S. Chinthamani, B. Sinthia, P. Department of Electronics and Communication Engineering Rajalakshmi Institute of Technology Chennai India UG Scholar Department of Computer and Communication Engineering Rajalakshmi Institute of Technology Chennai India Department of Electrical and Electronics Engineering Saveetha Engineering College Chennai India Department of Electronics and Instrumentation Engineering Easwari Engineering College Chennai India Department of Biomedical Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9789819738090

The insurance fraud claim detection is a critical task in the insurance industry. Various methodologies were proposed in terms of detecting fraud claims but the main thing is handling the proportionality between the fraud and non-fraud cases in the dataset before it was given to the model, in that case class imbalance may occur. Class imbalance where the number of fraudulent claims is significantly lower than legitimate claims which pose a challenge for accurate fraud detection. In this paper, we employed [Elreedy and Atiya in Inf Sci 505:32–64, 2019] Synthetic Minority Over-sampling Technique (SMOTE) algorithm to address the imbalance problem and enhance the performance of the fraud claim detection model. SMOTE is a popular technique for oversampling the minority class by creating synthetic samples that are similar to the existing minority class instances. By generating synthetic examples, SMOTE helps in balancing the class distribution and allows the model to learn from a more representative dataset. This technique is particularly effective when the available data is limited and insufficient to capture the complexities of the limited class. This process results in a larger and more balanced dataset, enabling the model to learn from a diverse range of fraudulent claim patterns. By applying SMOTE to our dataset, we are able to overcome the class imbalance issue and improve the performance of the fraud claim detection model. The resampled dataset provides a more accurate representation of the underlying distribution, leading to enhanced detection of fraudulent claims. We evaluate the performance of the model by measuring various metrics such as accuracy, precision, recall and F1-score. Our findings demonstrate the effectiveness of SMOTE in addressing class imbalance with improved random forest and LightGBM model for fraud claim detection process. The utilization of SMOTE contributes to better identification of fraudulent insurance claims, reducing potential losses an

关键词： Crime

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Development of a Smart Convenience Outlet with Radio Frequency Identification (RFID) Reader and Android Application for Power Monitoring, Control, and Protection of electrical Home Appliances 14

Development of a Smart Convenience Outlet with Radio Frequen...

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14th IEEE Control and System Graduate Research Colloquium, ICSGRC 2023

作者： Simbulan, Ron Jerome M. Navalta, Ivan Christopher U. Ostia, Conrado F. Mapúa University Department of Electrical Electronics and Computer Engineering Manila City Philippines

ISBN: (纸本)9798350346237

This study presents a system that features power consumption monitoring per user, timer control, budget limit, automatic shutdown of standby appliances and provides protection from overloading, overvoltage and undervoltage. The prototype can be activated via an RFID card or mobile application. Each user has an account, and each account has a respective registered RFID card. The account and RFID card enable user identification which can aid in the fair distribution of electricity consumption and bill among roommates or users in an apartment or dormitory based on their actual appliance usage. A generated report is provided for both the users and the landlord. The system used PZEM-004T for measuring voltage and current. The percentage error computation was done on the current reading of the prototype and the clamp meter, in which the system has 95.15% to 99.94% accuracy in terms of current reading. On the other hand, the system has 99.30% to 99.90% accuracy in terms of voltage reading, in which the system voltage reading is compared to the reading of a multimeter. Given these features, the prototype can reduce excessive use of appliances, promotes fair distribution of electricity bill, and provides protection for overvoltage, undervoltage and overloading. © 2023 IEEE.

关键词： Electric power utilization

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