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3rd IEEE International Conference on Electronic engineering, ICEEM 2023

作者： GadAllah, Mohammed Tarek Mohamed, Abd El-Naser A. Hefnawy, Alaa A. Zidan, Hassan E. El-Banby, Ghada M. Mohamed Badawy, Samir Computers and Systems Department El Nozha Cairo Egypt Menoufia University Faculty of Electronic Engineering Electronics and Electrical Communications Engineering Department Menoufia Egypt Menoufia University Faculty of Electronic Engineering Industrial Electronics and Control Engineering Department Menoufia Egypt

ISBN: (纸本)9798350323511

Photoacoustic (PA) sensing is a crossbred technique relied on light-produced ultrasonic signals due to a phenomenon called the PA effect. PA imaging (PAI), which is based originally on PA sensing, has been utilized efficiently in breast cancer identification and characterization over the last few years. In this paper, a numerical simulation study in silico has been applied, utilizing COMSOL Multiphysics platform basing on the Finite Element Method (FEM), for breast cancer sizes' differentiating by PA sensing. A time-dependent study has been applied on COMSOL resulting in different measured PA signals from different tumor sizes measured at a constant measuring point on the surface of the simulated breast, showing the different shape for each PA signal and its frequency spectrum for the different tumor sizes. Statistical analysis for some resulting simulated PA signals has been performed by MATLAB software, deducing that the produced standard deviation values may be considered as a quantitative indication mark of the breast cancer's size and hence its dangerous degree. The study's results help in numerical modeling for more PA sensing and imaging applications. © 2023 IEEE.

关键词： Multiphysics

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Fractional-order binary bat algorithm for feature selection on high-dimensional microarray data

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Journal of Ambient Intelligence and Humanized Computing 2023年第6期14卷 7453-7467页

作者： Esfandiari, Ahmad Farivar, Faezeh Khaloozadeh, Hamid Department of Computer and Mechatronics Engineering Science and Research Branch Islamic Azad University Tehran Iran Department of Systems and Control Faculty of Electrical Engineering K. N. Toosi University of Technology Seyed-Khandan Shariati Ave. Tehran16317-14191 Iran

High-dimensional microarray data suffer from the confounding effects of irrelevant, redundant and noisy genes on the scalability and efficiency of classification algorithms. In order for an effective dimensionality reduction and the selection of informative genes, this paper introduces a novel approach using fractional calculus concepts. This study proposes a modified version of binary the bat algorithm named fractional-order binary bat algorithm (FBBA) able to control the convergence process using more historical memory of bat behaviors. The gene selection technique contains a two-stage hybrid filter/wrapper method which employs a new correlation-based feature clustering (CFC) algorithm in the filter stage and the FBBA in the wrapper stage. The CFC-FBBA is evaluated on ten microarray gene expression datasets by employing the support vector machine classifier with a k-fold Monte Carlo cross validation data partitioning model. Furthermore, the results show that the CFC-FBBA, while minimizing the size of the gene subset, achieves the highest classification accuracy in most cases compared to several state-of-art hybrid techniques. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Classification (of information)

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Optimization of a Power Supply Using 3 Types of Converters of a Discharge Lamp-Electronic Ballast System for Water Purification 2

Optimization of a Power Supply Using 3 Types of Converters o...

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2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023

作者： Aissa-Bokhtache, Aicha Latroch, Maamar Toualbia, Asma Maamar, Alla Eddine Toubal Boucherit, Mohamed Seghir Faculty of Technology Department of Electrical Engineering Chlef Algeria University of m'Hamed Bougara of Boumerdes Faculty of Technology Department of Electrical Systems Engineering Boumerdes Algeria National Polytechnic School of Algiers Control Processes Laboratory Algiers Algeria

ISBN: (纸本)9798350314243

Water is a crucial resource that has been experiencing a continuous decline in quality over the years. Therefore, treating water has become a top priority, and the need to respect it has been recognized since ancient times. UV-c technology is an excellent solution that addresses both of these requirements effectively. The concept of UV bactericidal treatment involves the generation of ultraviolet rays inside a treatment chamber containing water. To ensure the effectiveness of UV-c disinfection, it is crucial to provide a reliable power supply to the low-pressure mercury-argon discharge lamps. In this research, the main objective is to determine the most optimal power source. To achieve this goal, the discharge lamp-electronic ballast system will be powered by three different types of converters. The first power supply utilizes a conventional converter, consisting of a half-bridge rectifier and inverter with PWM control. The second power supply employs a 4-cell serial multicell converter, which adopts a control strategy that modulates duty cycles. The third power supply is based on a single-phase matrix converter. In order to achieve the desired amplitude and frequency, a linear adjustment of the current is applied using a PI regulator. This approach aims to improve the quality of the current waveform and reduce total harmonic distortion (THD). The simulations for these power supply configurations were conducted using Matlab/Simpower system. © 2023 IEEE.

关键词： MATLAB

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Towards Evaluating the Security of Wearable Devices in the Internet of Medical Things 11

Towards Evaluating the Security of Wearable Devices in the I...

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11th RSI International Conference on Robotics and Mechatronics, ICRoM 2023

作者： Vaseghi, Yas Behara, Behnaz Delrobaei, Mehdi K. N. Toosi University of Technology Faculty of Electrical Engineering Department of Systems and Control Tehran Iran K. N. Toosi University of Technology Faculty of Electrical Engineering Department of Biomedical Engineering Tehran Iran K. N. Toosi University of Technology Faculty of Electrical Engineering Department of Mechatronics Tehran Iran

ISBN: (纸本)9798350308105

The Internet of Medical Things (IoMT) offers a promising solution to improve patient health and reduce human error. Wearable smart infusion pumps that accurately administer medication and integrate with electronic health records are an example of technology that can improve healthcare. They can even alert healthcare professionals or remote servers during operational failure, preventing distressing incidents. However, as the number of connected medical devices increases, the risk of cyber threats also increases. Wearable medication devices based on IoT attached to patients' bodies are prone to significant cyber threats. Being connected to the Internet exposes these devices to potential harm, which could disrupt or degrade device performance and harm patients. To ensure patient safety and well-being, it is crucial to establish secure data authentication for internet-connected medical devices. It is also important to note that the wearability option of such devices might downgrade the computational resources, making them more susceptible to security risks. This paper implements a security approach to a wearable infusion pump. We discuss practical challenges in implementing security-enabled devices and propose initial solutions to mitigate cyber threats. © 2023 IEEE.

关键词： Wearable technology

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Unscented Kalman Filter for State of Charge Estimation of Lithium Titanate Battery 20

Unscented Kalman Filter for State of Charge Estimation of Li...

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20th International Conference on electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2023

作者： Dardchuntuk, Joshua Chun-Ken Banjerdpongchai, David Faculty of Engineering Chulalongkorn University Center of Excellence in Intelligent Control Automation of Process Systems Department of Electrical Engineering Pathumwan 254 Phayathai Road Bangkok10330 Thailand

ISBN: (纸本)9798350310467

An accurate estimation of the state of charge (SoC) of lithium titanate (LTO) batteries is required for their effective operation and management. In this study, we propose an unscented Kalman filter (UKF) approach for estimating the SoC of LTO batteries, which are challenging to assess due to the nonlinear voltage-SoC relationship and aging impact. Our approach uses a state and measurement model based on LTO's electrochemical characteristics and employs sigma points and weights to address nonlinearities. According to the findings of our research, the UKF-based methodology has high accuracy, rapid convergence, and resilience to discharge rate, outperforming or matching the capabilities of existing state-of-the-art approaches. This work provides a novel and effective solution for LTO battery SoC estimation, useful for applications in electric vehicles, energy storage, and smart grid energy systems. © 2023 IEEE.

关键词： Battery management systems

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Performance Comparison of Lightweight CNN Models for Drone Collision Avoidance Dataset 20

Performance Comparison of Lightweight CNN Models for Drone C...

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20th International Conference on electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2023

作者： Zufar, Rifqi Nabila Banjerdpongchai, David Chulalongkorn University Center of Excellence in Intelligent Control Automation of Process Systems Department of Electrical Engineering Faculty of Engineering 254 Phayathai Road Bangkok Pathumwan10330 Thailand

ISBN: (纸本)9798350310467

Collision Avoidance System (CAS) is important for drone safety. CAS consists of three steps e.g., obstacle sensing, collision prediction, and collision avoidance. Collision prediction enables drones to gain information, process information, and estimate whether the object has a risk of collision. Convolution Neural Network (CNN) is one of the methods that can be employed for collision prediction. However, CNN is a method that needs a large data in the training. Dario Pedro et al. provided a dataset called the CoLANet dataset that consists of VDOs of collision drones. Subsequently, they proposed a new algorithm called Neural Network Pipeline which has a Convolution Neural Network (CNN) part to extract the feature from a couple of images. CNN extracts images by using MobileNetV2 as a pre-trained model. They chose MobileNetV2 due to training performance from another dataset. This paper aims to assess the performance of lightweight CNN models using the CoLANet dataset. The models will be trained on the Keras library with parameters of fewer than ten million. The models will be validated by Confusion Matrix and Receiver Operating Characteristics. In conclusion, we examine which pre-trained CNN model has the best performance and suggest ongoing work. © 2023 IEEE.

关键词： Drones

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Generic model of IoT Edge device for object monitoring via LoRaWAN

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IFAC-PapersOnLine 2024年第9期58卷 160-165页

作者： Peter Peniak Emília Bubeníková Peter Holečko Department of Control and Information Systems Faculty of Electrical Engineering and Information Technology University of Žilina Slovakia

This article deals with the generic model for object monitoring and tracking in an industrial environment and manufacturing. We focus on the design of generic IoT Edge device model that enables the integration of various LoRa sensors independently on vendor solutions for common use cases. Our model is based on the MQTT protocol, which is proven for sensor applications and gives needed independency on proprietary protocols. The model was implemented in Node-RED software and subsequently validated with sensors of different vendors to confirm the generic approach and base for independent object tracking solutions. The proposed Edge device model supports independent object tracking, such as object status monitoring, localization and triggered events, giving independent approach for tailored solutions and wide application portfolio based on combined different sensors and devices.

关键词： LoRaWAN GPS sensors monitoring tracking generic model MQTT NodeRED

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Design of a Solar Pumping System with Battery Storage Based on Three-Port DC-DC Converter 6

Design of a Solar Pumping System with Battery Storage Based ...

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6th International Youth Conference on Radio Electronics, electrical and Power engineering, REEPE 2024

作者： Zaid, A. Abu Abdelsalam, Ibrahim Marei, M.I. College of Engineering Technology Arab Academy for Science Technology Maritime Transport Electrical Power Systems Department Cairo11742 Egypt College of Engineering Technology Arab Academy for Science Technology Maritime Transport Electrical and Control Department Cairo2033 Egypt Ain Shams University Faculty of Engineering Electrical Power and Machines Department Cairo11769 Egypt

ISBN: (纸本)9798350382891

This paper introduces a design for a photovoltaic (PV) pumping system that incorporates battery bank storage. A three-port DC-DC converter (TPC) is employed to integrate the PV, battery bank, and induction motor drive (IMD) based pumping system. The purpose of the battery bank is to provide support to the pump during shading conditions to prevent frequent suspension and down-thrust situations. Additionally, the proposed system aims to maintain the free-floating impeller operating range by imposing rotational speed limits on the pump. The input ports of the TPC consist of the PV port, which is controlled to harvest the maximum power point (MPP) using the perturb and observe technique, and the battery port. The output port is linked to a DC bus using passive rectifier to supply power to the variable speed V/F IMD. The battery port is regulated to sustain the DC bus voltage in a desired voltage range that ensures the impeller operation under free-floating conditions. The proposed system is simulated using MATLAB/Simulink software. The simulation results are discussed to evaluate the dynamic performance. © 2024 IEEE.

关键词： DC-DC converters

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Correction To: Photovoltaic system fault detection techniques: a review

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Neural Computing and Applications 2024年第29期36卷 18547-18548页

作者： El-Banby, Ghada M. Moawad, Nada M. Abouzalm, Belal A. Abouzaid, Wessam F. Ramadan, E. A. Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering Menoufia University Menouf Egypt Department of Electrical Engineering of Computer and Control Systems Faculty of Engineering Kafrelsheikh University Kafrelsheikh Egypt

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Speed Profile Optimization for Autonomous Electric Bus in Urban Area: Based on Service Route Parameter in Thailand

Speed Profile Optimization for Autonomous Electric Bus in Ur...

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2023 International Conference on Power, Energy and Innovations, ICPEI 2023

作者： Sakulphaisan, Guntinan Son-In, Sirirat Junhuathon, Nitikorn Muankhaw, Theerapol Pathumwan Institute of Technology Faculty of Science and Technology Industrial Technology and Innovation Management Bangkok Thailand Bansomdejchaopraya Rajabhat University Faculty of Engineering and Industrial Technology Electrical Engineering and Automation Control Systems Bangkok Thailand Rajamangala University of Technology Faculty of Engineering Department of Electrical Engineering Thanyaburi Pathumthani Thailand

ISBN: (纸本)9798350344585

This study conducts a comprehensive analysis of optimizing the speed profile of an AE-bus, a critical step in enhancing its operational efficiency. It encompasses three distinct case studies, each targeting specific objectives. The first case emphasizes energy consumption reduction, contributing to overall resource efficiency. The second focuses on eco-conscious speed profiles within predefined travel durations, balancing environmental sustainability and timeliness. The third case prioritizes travel time minimization for streamlined efficiency. Detailed insights into speed adjustments, bus positions, and energy consumption patterns are provided for each case. The findings reveal tailored approaches for energy conservation, speed, and travel time optimization. Additionally, emissions analysis demonstrates that electric buses significantly reduce CO2 emissions compared to conventional NGV buses, showcasing their potential for environmental benefits. © 2023 IEEE.

关键词： Electric buses

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