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5th IEEE International Conference on Communication, Computing and Industry 6.0, C2I6 2024

作者： Thapa, Samir Asrari, Arash Naderi, Ehsan Fajri, Poria Purdue University Northwest Department of Electrical and Computer Engineering HammondIN United States Arkansas State University College of Engineering and Computer Science Department of Electrical Engineering JonesboroAR United States University of Nevada Department of Electrical and Biomedical Engineering RenoNV United States

ISBN: (纸本)9798350379884

This paper presents the design of a standalone hybrid renewable energy system (HRES) for a hospital in Lafayette, Indiana, USA, to enhance energy reliability and reduce costs. The proposed system integrates photovoltaic (PV) panels, wind turbines, batteries, and a backup diesel generator. Using Hybrid Optimization Model for Electric Renewables (HOMER) software, the system is optimized for cost-effectiveness and sustainability, while electrical Transient Analyzer program (ETAP) software is employed to ensure a safe operation under varying conditions. Results verify that the developed HRES meets the hospital's energy needs, significantly reduces operational costs, and minimizes carbon emissions, offering a sustainable model for healthcare facilities. © 2024 IEEE.

关键词： Windmill

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Comparative Analysis of Photoplethysmogram (PPG) Waveform Characteristics Across Various Body Sites Under Normal and Apneic Conditions 46

Comparative Analysis of Photoplethysmogram (PPG) Waveform Ch...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Rahme, Joe Saleh, Sahera Al-Sadek, Tamara Amatoury, Jason Khraiche, Massoud American University of Beirut Biomedical Engineering Program Beirut Lebanon American University of Beirut Department of Electrical Engineering Beirut Lebanon

ISBN: (纸本)9798350371499

Detecting sleep apnea through wearable devices poses challenges due to the condition's variability across populations and the inconsistencies in measurements attributed to current wearable technologies. This study aims at comparing photoplethysmogram (PPG) waveform characteristics in healthy subjects, including the change in amplitude, width, and time to peak (Tp) of the signal. PPG signals were recorded at six different body sites (wrist upper, wrist lower, ring finger, thumb, neck, and head) under both simulated normal and apneic conditions. A key objective of this work was to identify optimal LED intensities for detecting these waveform features at each site, providing valuable insights for future development of PPG hardware by pinpointing the most effective intensities. Additionally, the research aims for a better understanding of the variation of the PPG waveform between different body sites. © 2024 IEEE.

关键词： Photoplethysmography

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Application of TQWT based filter-bank for sleep apnea screening using ECG signals

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Journal of Ambient Intelligence and Humanized Computing 2024年第1期15卷 893-904页

作者： Nishad, Anurag Pachori, Ram Bilas Acharya, U. Rajendra Discipline of Electrical Engineering Indian Institute of Technology Indore Indore453552 India Department of Electronics and Computer Engineering Ngee Ann Polytechnic Singapore599489 Singapore Department of Biomedical Engineering School of Science and Technology SIM University Singapore599491 Singapore Department of Biomedical Engineering Faculty of Engineering University of Malaya Kuala Lumpur50603 Malaysia

The sleep apnea is a disease in which there is the absence of airflow during respiration for at least 10 s. It may occur several times during the night sleep. This disease can lead to many types of cardiovascular diseases. To detect this disease, signals obtained from many channels of polysomnography are to be observed visually by physicians for the long duration. This procedure is expensive, time-consuming, and subjective. Hence, it is required to build an automated system to detect the sleep apnea with few channels. This paper uses single-lead electrocardiogram (ECG) signal to detect apneic and non-apneic events. The proposed method uses tunable-Q wavelet transform (TQWT) based filter-bank instead of TQWT to decompose the segment of ECG signal into several constant bandwidth sub-band signals. Then centered correntropies are computed from the various sub-band signals. The obtained features are then fed to the various classifiers to select the optimum performing classifier. In this work, we have obtained the highest classification accuracy, specificity, and sensitivity of 92.78%, 93.91%, and 90.95% respectively using random forest classifier. Hence, our developed prototype is ready for validation with the huge database and clinical usage. © Springer-Verlag GmbH Germany, part of Springer Nature 2018.

关键词： Filter banks

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A Remedial Action Scheme Against False Data Injection Cyberattacks Targeting ULTC Transformers in Smart Distribution Systems

A Remedial Action Scheme Against False Data Injection Cybera...

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2024 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2024

作者： Naderi, Ehsan Asrari, Arash Fajri, Poria College of Engineering and Computer Science Arkansas State University Department of Electrical Engineering JonesboroAR United States Purdue University Northwest Department of Electrical and Computer Engineering HammondIN United States University of Nevada Electrical and Biomedical Engineering Department RenoNV United States

ISBN: (纸本)9798350352290

This paper proposes an on-line remedial action scheme (OLRAS) in order to mitigate the voltage violations caused by false data injection attacks (FDIAs) targeting under load tap changing (ULTC) transformers in smart distribution systems. The FDIA framework contains two different phases. In the attack phase, distribution system operator (DSO), being in attacker's shoe, considers cyberattack scenarios through compromising the results of volt-var optimization problem in a radial distribution grid modified with distributed energy resources (DERs) such as photovoltaic (PV) units and wind turbines (WTs). The outcome of the attack phase will be the compromised voltage profile of the distribution grid showing different rates of voltage violations. In the reaction phase, the DSO rapidly identifies a customized distribution feeder reconfiguration (CDFR) in order to update the flows of active and reactive power throughout the targeted distribution system and recover the voltage profile. The objective functions of the proposed CDFR are defined to minimize the impacts of such cyberattacks targeting ULTCs within distribution grids. This will empower DSOs to react to severe cyberattacks, bypassing the detection stage, and address the voltage violations in a timely manner. The effectiveness of the proposed OLRAS is validated on an IEEE test system. © 2024 IEEE.

关键词： Distribution transformers

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Development of Novel-Epoxy-Based Transformer Bushing Insulator for High Breakdown Voltage (BDV) 3

Development of Novel-Epoxy-Based Transformer Bushing Insulat...

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3rd International Conference on Emerging Trends in electrical, Control, and Telecommunication engineering, ETECTE 2024

作者： Siddique, Abubakar Akram, Laraib Aslam, Waseem Mishal, Areeba Shahid, Muhammad Usama Ahmed, Haseeb Department of Electrical and Biomedical Engineering Khwaja Fareed University of Engineering and Information Technology Rahim Yar Khan Pakistan Department of Electrical Electronics & Computer Engineering University of Sargodha Sargodha Pakistan

ISBN: (纸本)9798331504861

In today’s trends, nanocomposites have garnered significant interest due to their potential to enhance dielectric properties and be used as insulators. Incorporating nanoparticles into the base epoxy makes achieving highly efficient dielectric materials feasible. However, the low electric field stress management capability and insufficient relative permittivity of typical epoxy provide a hindrance. Efforts have been made to overcome these limitations by adding nanosized fillers with high relative permittivity to the epoxy to enhance the dielectric properties. This research study focuses on the development of Novel-Epoxy-Based Transformer Bushing Insulator using nanomaterial Al2O3 and SiO2. The epoxy resin served as the base material, with nano-fillers added to improve its dielectric properties. The hardener was added to initiate the curing process and create a highly crosslinked structure. Surfactants were introduced to improve the interaction between the epoxy resin and nanoparticles. The nano-silica and nano-alumina particles were combined in different ratio configurations to create the nanocomposites by using the preparation method;Sol-Gel and Green Synthesis, which were subsequently tested for their dielectric properties. The proposed sample is the nanocomposite made by the green synthesis method and with the combination of 0.3 g + 0.3 g of the nanoparticle. Results show improved dielectric strength of the proposed nanocomposites compared to conventional porcelain materials. This paper presents an environment friendly approach for developing epoxy-based transformer bushing insulators, offering enhanced performance. ©2024 IEEE.

关键词： Permittivity

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computer-free computational imaging: optical computing for seeing through random media

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Light(Science & Applications) 2022年第7期11卷 4-5页

作者： Yunzhe Li Lei Tian Department of Electrical and Computer Engineering Boston UniversityBostonMA02215USA Department of Biomedical Engineering Boston UniversityBostonMA02215USA

Diffractive Deep Neural Network enables computer-free,all-optical“computational imaging”for seeing through unknown random diffusers at the speed of light.

关键词： random free enable

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Lecture Hall Monitoring System using Access Control Mechanism at the University of Ghana 9

Lecture Hall Monitoring System using Access Control Mechanis...

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9th IEEE International Conference on Adaptive Science and Technology, ICAST 2024

作者： Adjaye, Aboagye Isaac Abdul-Kadir, Napari Kelly, Norman Michael, Amui Longdon, Sowah Nii Percy, Okae Alidu, Abubakari Kan-Dapaah, Kwabena University of Ghana Department of Computer Engineering Ghana Academic City University College Department of Electrical and Electronic Engineering Ghana University of Ghana Department of Biomedical Engineering Ghana

ISBN: (纸本)9798350385403

In an era where technology is evolving rapidly, there is a need to efficiently secure access control systems within educational institutions and office environments. Access control systems are crucial in ensuring the security and legal access to physical and digital resources. In this research, a system was designed and implemented to monitor the lecture hall and office environment within the School of engineering Sciences, University of Ghana. The system integrated multiple layers of access controls, including biometric fingerprint recognition, Radio Frequency Identification (RFID) card authentication, and personal identification number (PIN). A database was generated to identify people who use the facilities. This provided a robust and user-friendly hybrid system. The system leverages modern database technologies to record and manage access, enabling real-time monitoring of lecture halls and office spaces. Moreover, it offers a user-friendly interface for administrators, lecturers, lab attendants, and other users. The database generated could also be used to check class attendance. The results demonstrate significant improvements in security, attendance tracking, and overall access management efficiency in the School of engineering Sciences. © 2024 IEEE.

关键词： Radio frequency identification (RFID)

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Insights on diagnostic signals in single-phase and three-phase induction motors in single-phasing fault 14

Insights on diagnostic signals in single-phase and three-pha...

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14th IEEE International Symposium on Diagnostics for electrical Machines, Power Electronics and Drives, SDEMPED 2023

作者： Minervini, Marcello Frosini, Lucia Meloni, Alberto De Tullio, Riccardo Mantione, Lorenzo University of Pavia Department of Electrical Computer and Biomedical Engineering Pavia Italy

ISBN: (纸本)9798350320770

The aim of this paper is twofold. On the one hand, the applicability of the well-known diagnostic techniques, based on the motor current and stray flux signature analysis, has been experimentally tested both on small single-phase induction motors and on large on-field three-phase induction motors. On the other hand, the single phasing fault in three-phase induction motors, which has rarely been treated in the literature, has been experimentally analyzed and compared to the behavior of the single-phase motor, in order to find characteristic signatures of this fault. Time and frequency domain analyses were performed on current, axial and radial stray flux, and torque signals. The experimental study highlighted the following insights: i) classical motor current signature analysis cannot be easily applied to permanent-capacitor single-phase machines;ii) stray flux analysis reveals the presence of additional harmonic sidebands, even in healthy three-phase induction motors;iii) a rough analysis of the third harmonic in the current spectrum may be sufficient to diagnose the single phasing fault. © 2023 IEEE.

关键词： Induction motors

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A Case Study of Rice Paddy Field Detection Using Sentinel-1 Time Series in Northern Italy 7th

A Case Study of Rice Paddy Field Detection Using Sentinel-1 ...

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7th International Conference on computer Vision and Image Processing, CVIP 2022

作者： Dell’Acqua, Fabio Marzi, David Department of Electrical Computer Biomedical Engineering University of Pavia Pavia Italy

ISBN: (纸本)9783031314063

Whereas a vast literature exists reporting on mapping of rice paddy fields in Asia based on spaceborne data, especially from radar sen¬sors, comparatively little has been done so far on the European context, where production is much smaller in absolute terms. From a scientific standpoint, it would be interesting to characterize rice paddy fields in terms of typical annual trend of radar response in a context where seasons follow different patterns with respect to the Asian one. In this manuscript we report a case study on a designated set of rice paddy fields in north-ern Italy, where the largest fraction of European rice paddy fields are located. Building on previous work, more in-depth analysis of the time trends of radar response is carried out, and some preliminary conclusions on features usable in mapping are presented. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Mapping

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Deep Semantic Segmentation of Echocardiographic Images using Vision Transformers

Deep Semantic Segmentation of Echocardiographic Images using...

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2023 IEEE International Ultrasonics Symposium, IUS 2023

作者： Bosco, Edoardo Casula, Filippo Cotogni, Marco Cusano, Claudio Matrone, Giulia University of Pavia Department of Electrical Computer and Biomedical Engineering Pavia Italy

ISBN: (纸本)9798350346459

Deep learning (DL) methods have revolutionized image segmentation by providing tools to automatically identify structures within images, with high levels of accuracy. In particular, Convolutional Neural Networks (CNN), such as the U-Net and its variants, have achieved remarkable results in many segmentation tasks. Only recently, Vision Transformer (ViT)-based models have emerged and in some cases demonstrated to outperform CNNs in semantic segmentation tasks. However, transformers typically require larger amounts of data for training as compared to CNNs. This can result in a significant drawback given the time-consuming nature of collecting and annotating data, especially in a clinical setting. In particular, only a few studies involved the application of ViT networks for ultrasound image *** this study, we propose one of the earliest applications of ViT-based architectures for segmenting the left heart chambers in 2D echocardiographic images. Indeed, the identification of cardiac structures, like e.g. heart chambers, can be used to derive relevant quantitative parameters, such as atrial and ventricular volumes, the ejection fraction, *** trained and tested several ViT models using the publicly available CAMUS dataset, composed by cardiac image sequences from 500 patients, with the corresponding mask labels of the left ventricle and left atrium. ViT networks performances were then compared to an implementation of the U-Net. We demonstrate how, on this type of data, recent ViT variants can reach and even outperform CNNs, despite the limited data availability. © 2023 IEEE.

关键词： Echocardiography

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