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24th International Conference on Computational Problems of electrical engineering, CPEE 2023

作者： Bajtos, Marek Radil, Roman Janousek, Ladislav Bajtos, Marek Dang, Nhat University of Zilina Faculty of Electrical Engineering and Information Technology Department of Electromagnetic and Biomedical Engineering Zilina Slovakia University of Colorado Boulder Department of Electrical Computer and Energy Engineering BoulderCO United States

ISBN: (纸本)9798350330342

This article presents numerical simulations focused on static magnetic fields, employing a Mu-metal cage for shielding against the geomagnetic field. The objective is to verify, how homogeneous and uniform magnetic field within the magnetic field applicator is created. Square Helmholtz coils are employed to ensure this homogeneity. Observations indicate a 5.3% deviation in the B-field when the coils are supplied with a DC current of 110 mA. In the absence of a DC field supply, a 12% deviation is observed. The impact of extremely low-frequency electromagnetic fields and static magnetic fields on living organisms is well-documented, emphasizing the significance of even small changes and deviations in the magnetic field. This underscores the importance of employing a Mu-metal cage when investigating the effects of these fields. Numerical simulations using specialized software demonstrate that the highly permeable Mu-metal box provides approximately 90% shielding efficiency against the geomagnetic field. © 2023 IEEE.

关键词： Magnetic fields

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Experimental Protocol for Biological Experiments on Petri Dishes 14

Experimental Protocol for Biological Experiments on Petri Di...

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14th International Conference on Measurement, MEASUREMENT 2023

作者： Bajtos, Marek Janousek, Ladislav Radil, Roman Carnecka, Lucia Paulecova, Kristina University of Zilina Faculty of Electrical Engineering and Information Technology Department of Electromagnetic and Biomedical Engineering Zilina Slovakia University of Colorado Boulder Department of Electrical Computer and Energy Engineering BoulderCO United States

ISBN: (纸本)9788097262976

In this paper, the experimental protocol for the further exposition of low-frequency magnetic fields on biological cells is established. Experiments for one-week mass controlling of Petri dishes with YPD agar and Saccharomyces cerevisiae inoculum are performed. Firstly, four groups of samples are prepared to find out the proper volume of inoculum with the lowest standard deviation between the samples. Secondly, the dedicated volume of inoculum is used for another set of experiments for comparison with YPD agar plates without the yeast cells. The statistical evaluation of two groups of data is determined. © 2023 Institute of Measurement Science, Slovak Academy o.

关键词： Yeast

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A Review of Deep Learning Applications in Lung Ultrasound Imaging of COVID-19 Patients

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biomedical engineering Frontiers 2022年第1期3卷 31-47页

作者： Lingyi Zhao Muyinatu A.Lediju Bell Department of Electrical and Computer Engineering Johns Hopkins UniversityBaltimoreUSA Department of Computer Science Johns Hopkins UniversityBaltimoreUSA Department of Biomedical Engineering Johns Hopkins UniversityBaltimoreUSA

The massive and continuous spread of COVID-19 has motivated researchers around the world to intensely explore,understand,and develop new techniques for diagnosis and *** lung ultrasound imaging is a less established approach when compared to other medical imaging modalities such as X-ray and CT,multiple studies have demonstrated its promise to diagnose COVID-19 *** the same time,many deep learning models have been built to improve the diagnostic efficiency of medical *** integration of these initially parallel efforts has led multiple researchers to report deep learning applications in medical imaging of COVID-19 patients,most of which demonstrate the outstanding potential of deep learning to aid in the diagnosis of *** invited review is focused on deep learning applications in lung ultrasound imaging of COVID-19 and provides a comprehensive overview of ultrasound systems utilized for data acquisition,associated datasets,deep learning models,and comparative performance.

关键词： diagnosis lung Lung

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Genome-wide exploratory analysis for NARAC dataset with preparation for haplotype block partitioning through minor allele frequency quality control viewpoint

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Iran Journal of computer Science 2023年第4期6卷 387-396页

作者： Saad, Mohamed N. Zareef, Galena W. Ibrahim, Fatma S. Said, Ashraf M. Hamed, Hisham F. A. Biomedical Engineering Department Faculty of Engineering Minia University Minia Egypt Biomedical Engineering Department Misr University for Science and Technology 6th of October City Egypt Bioinformatics Department Faculty of Computer and Information Minia University Minia Egypt Computer and Software Engineering Department Misr University for Science and Technology 6th of October City Egypt Department of Electrical Engineering Faculty of Engineering Egyptian-Russian University Cairo Egypt Electrical and Electronics Engineering Department Faculty of Engineering Minia University Minia Egypt

This article provides a detailed description, analysis, and visualization of a case–control genome-wide genotypic dataset from the North American Rheumatoid Arthritis Consortium (NARAC). The data is presented in terms of the number of females and males in both cases and controls, as well as the percentage of missing data. The number of alleles and genotypes is also counted, and the minor allele frequency (MAF) is calculated for each single nucleotide polymorphism (SNP). The data is further classified into four categories based on the SNP's MAF, namely, very rare, rare, low frequency, and common SNPs. The regions of these categories in the chromosome are investigated to determine the proportion of SNPs in coding locations and other regions. It is observed that each category has a different proportion in each region of consequence annotation. The data composition in terms of alleles and genotypes is found to be greatly disproportionate. The results present clear insights into the data and its MAF, which can be compared with other datasets. These findings can aid researchers in gaining a comprehensive understanding of such case–control datasets and bring accurate insights into the data. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023.

关键词： Genome-wide association study Genome-wide exploratory analysis Minor allele frequency Single nucleotide polymorphism Variant annotation

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A Multifunctional Hydrogel with Multimodal Self-Powered Sensing Capability and Stable Direct Current Output for Outdoor Plant Monitoring Systems

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Nano-Micro Letters 2025年第4期17卷 1-24页

作者： Xinge Guo Luwei Wang Zhenyang Jin Chengkuo Lee Department of Electrical&Computer Engineering National University of Singapore4 Engineering Drive 3Singapore 117576Singapore Center for Intelligent Sensors and MEMS(CISM) National University of Singapore5 Engineering Drive 1Singapore 117608Singapore NUS Graduate School-Integrative Sciences and Engineering Program(ISEP) National University of SingaporeSingapore 119077Singapore Research Center for Sustainable Urban Farming(SUrF) National University of SingaporeSingapore 117558Singapore

Smart farming with outdoor monitoring systems is critical to address food shortages and sustainability *** systems facilitate informed decisions that enhance efficiency in broader environmental *** outdoor systems equipped with energy harvesters and self-powered sensors often struggle with fluctuating energy sources,low durability under harsh conditions,non-transparent or non-biocompatible materials,and complex ***,a multifunctional hydrogel is developed,which can fulfill all the above requirements and build selfsustainable outdoor monitoring systems solely by *** can serve as a stable energy harvester that continuously generates direct current output with an average power density of 1.9 W m^(-3)for nearly 60 days of operation in normal environments(24℃,60%RH),with an energy density of around 1.36×10^(7)J m^(-3).It also shows good self-recoverability in severe environments(45℃,30%RH)in nearly 40 days of continuous ***,this hydrogel enables noninvasive and self-powered monitoring of leaf relative water content,providing critical data on evaluating plant health,previously obtainable only through invasive or high-power consumption *** potential extends to acting as other self-powered environmental *** multifunctional hydrogel enables self-sustainable outdoor systems with scalable and low-cost production,paving the way for future agriculture.

关键词： Self-powered sensor Hydrogel Energy harvester Outdoor farming Self-sustainable IoT

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Date Fruit Classification System using Deep Transfer Learning 10

Date Fruit Classification System using Deep Transfer Learnin...

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10th International Conference on Future Internet of Things and Cloud, FiCloud 2023

作者： Abuowda, Zainab Ramadan, Shorouk Salam, Nour Gad, Abdalla Yousaf, Jawad Hassan, Taimur Ghazal, Mohammed Almajali, Eqab Abu Dhabi University Electrical Computer and Biomedical Engineering Department Abu Dhabi United Arab Emirates University of Sharjah Department of Electrical Engineering Sharjah United Arab Emirates

ISBN: (纸本)9798350316353

Nowadays, developing an accurate computer vision system for classifying the type and maturity stage of date fruit is essential for designing an efficient and smart robotic harvesting solution. In this study, we proposed an effective deep transfer learning-based system for automatically classifying five distinct date types on bunches (Naboot saif, Khalas, Barhi, Meneifi, and Sullaj) with four different maturity stages (Immature, Khalal, Rutab, and Tamar) using transfer learning approach on pre-trained deep convolutions neural networks. Resenet-50 and AlexNet networks were trained on the available dataset for the two classification tasks (date types and maturity stage). The findings of performed various experiments suggested that the proposed Resenet-50 outperforms the AlexNet with maximum achieved accuracies of 95.1% and 94.7% for date type and maturity stage classification, respectively. The study's findings are to be utilized in designing an intelligent robotic harvesting mechanism for efficient monitoring and harvesting of date fruits in a natural environment. © 2023 IEEE.

关键词： Harvesting

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Safer Navigation: The AI-Powered Smart Cane for the Visually Impaired 16

Safer Navigation: The AI-Powered Smart Cane for the Visually...

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16th International Conference on Developments in eSystems engineering, DeSE 2023

作者： Gad, Abdalla Fteiha, Bara' Alatawi, Jawaher Mohammed, Mahra Almansoori, Mahra Ghazal, Mohammed Yousaf, Jawad Almajali, Eqab Hussain, Abir Jafar Abu Dhabi University Electrical Computer and Biomedical Engineering Department Abu Dhabi United Arab Emirates University of Sharjah Department of Electrical Engineering Sharjah United Arab Emirates

ISBN: (纸本)9798350381344

This work proposes a flexible, foldable, lightweight, robust, and smart cane to aid visually impaired individuals and patients in navigating unfamiliar environments safely. The developed smart cane is equipped with an ultrasonic sensor, RFID reader, and an AI machine vision sensor for object detection and identification in the range of 30 cm to 9 m. A mobile application with a text-to-voice feature is developed that connects with the cane using Bluetooth to provide voice warnings to the user based on processed sensor output. The developed cane is also equipped with a vibration sensor activated when an obstacle is closer than 30 cm, serving as a backup of voice warnings. Object detection and classification using multiple sources (AI vision sensor, ultrasonic sensor, and RFID readers) ensures robust and uninterrupted operation in case of failure of one sensor. In emergencies, users can send text messages with their location to a pre-selected caretaker's phone number using the installed SOS button. The rechargeable battery offers more than 24 hours of operation and warns users when the battery is low. The prototype has been successfully executed and tested in various environments and aims to improve the safety and quality of life for visually impaired individuals and hospital patients. © 2023 IEEE.

关键词： Object detection

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EEG2Text: Open Vocabulary EEG-to-Text Translation with Multi-View Transformer

EEG2Text: Open Vocabulary EEG-to-Text Translation with Multi...

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2024 IEEE International Conference on Big Data, BigData 2024

作者： Liu, Hanwen Hajialigol, Daniel Antony, Benny Han, Aiguo Wang, Xuan Virginia Tech Department of Computer Science BlacksburgVA United States Virginia Tech Department of Electrical and Computer Engineering BlacksburgVA United States Virginia Tech Department of Biomedical Engineering and Mechanics BlacksburgVA United States

ISBN: (纸本)9798350362480

Deciphering the intricacies of the human brain has captivated curiosity for centuries. Recent strides in Brain-computer Interface (BCI) technology, particularly using motor imagery, have restored motor functions such as reaching, grasping, and walking in paralyzed individuals. However, unraveling natural language from brain signals remains a formidable challenge. Electroencephalography (EEG) is a non-invasive technique used to record electrical activity in the brain by placing electrodes on the scalp. Previous studies of EEG-to-text decoding have achieved high accuracy on small closed vocabularies, but still fall short of high accuracy when dealing with large open vocabularies. We propose a novel method, EEG2Text, to improve the accuracy of open vocabulary EEG-to-text decoding. Specifically, EEG2Text leverages EEG pre-training to enhance the learning of semantics from EEG signals and proposes a multi-view transformer to model the EEG signal processing by different t spatial regions of the brain. Experiments show that EEG2Text has superior performance, outperforming the state-of-the-art baseline methods by a large margin of up to 5% in absolute BLEU and ROUGE scores. EEG2Text shows great potential for a high-performance open-vocabulary brain-to-text system to facilitate communication. Our code is available at: https://***/ForeverNightmare/EEG2Text. © 2024 IEEE.

关键词： Electroencephalography

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Algorithmic optimization of quantum optical storage in solids

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Physical Review Research 2024年第3期6卷 033153-033153页

作者： Yisheng Lei Haechan An Zongfeng Li Mahdi Hosseini Department of Electrical and Computer Engineering and Applied Physics Program Elmore Family School of Electrical and Computer Engineering

Quantum memory devices with high storage efficiency and bandwidth are essential elements for future quantum networks. Solid-state quantum memories can provide broadband storage, but they primarily suffer from low storage efficiency. We use passive optimization and algorithmic optimization techniques to demonstrate nearly a sixfold enhancement in quantum memory efficiency. In this regime, we demonstrate coherent and single-photon-level storage with a high signal-to-noise ratio. The optimization technique presented here can be applied to most solid-state quantum memories to significantly improve the storage efficiency without compromising the memory bandwidth.

关键词： Quantum communication

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Infrastructure-dependent ramp-metering control for METANET-s 63

Infrastructure-dependent ramp-metering control for METANET-s

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Kamalifar, Ayda Cenedese, Carlo Cucuzzella, Michele Ferrara, Antonella University of Pavia Department of Electrical Computer Science and Biomedical Engineering Pavia27100 Italy Eth Zürich Department of Information Technology and Electrical Engineering Zürich Switzerland Nijenborgh 4 Groningen9747 AG Netherlands

ISBN: (纸本)9798350316339

In this paper, we propose a novel infrastructure-dependent ramp-metering control for the recently proposed METANET with service station (METANET-s) model, i.e., a second-order macroscopic traffic model that, compared to the classical METANET, incorporates the dynamics of service stations on highways. We study the effect of a ramp-metering control scheme on a highway stretch with a service station and show that it is capable of actively regulate internal traffic demand attempting to exit the service station via its on-ramp, on top of contributing to decrease the traffic congestion on the mainstream. In fact, the proposed control scheme effectively prevents the backlog of vehicles attempting to merge back onto the mainstream. This dynamic control mechanism is further endowed by a route guidance control strategy increasing the share of vehicles stopping at the service station during main-stream congestion periods, e.g. via incentives. The combined effect of our control schemes allows to take full advantage of the presence of service stations, reducing the overall traffic congestion. Simulation results demonstrate the effectiveness of the proposed control strategies. © 2024 IEEE.

关键词： Traffic congestion

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