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24th International Conference on computer Systems and Technologies, CompSysTech 2023

作者： Le Hoang, Nam Porta, Marco Faculty of Information Technology Hanoi University Hanoi Viet Nam Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy

ISBN: (纸本)9798400700477

While eye tracking technology has been around for several years, it has traditionally been implemented on personal computers using specific devices. Eye tracking through smartphones or tablets is much more challenging, because it involves the use of standard cameras and typically significantly fewer computational resources. In this paper, we present a study in which, based on a large dataset of face images acquired via mobile devices, we investigate the influence of some design choices (in particular, related to optimizers, color, and regularization techniques) on a deep learning convolutional architecture. We believe that the results obtained, although preliminary, can provide a useful contribution to a challenging and constantly evolving research field such as that of eye tracking for mobile appliances. © 2023 ACM.

关键词： Eye tracking

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KNX-ZigBee Gateway

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IFAC-PapersOnLine 2024年第9期58卷 85-90页

作者： Dominik Grzegorz David Vala VSB - Technical University of Ostrava Faculty of electrical engineering and computer science Department of cybernetics and biomedical engineering CZ

This work is about building automation. It deals with the implementation of the connection between KNX TP bus and ZigBee wireless technology. The connection focuses on the control of lighting end devices supporting th... 详细信息

关键词： ZigBee ZigBee Lighting IEEE 802.15.4 ISO/OSI KNX TP CC2652RB

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Using Blockchain Technology in Mobile Network to create decentralized Home Location Registry(HLR)

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computer Systems Science & engineering 2021年第11期39卷 287-296页

作者： Behnam Kiani Kalejahi Ruslan Eminov Aga Guliyev Department of Computer Science School of Science and EngineeringKhazar UniversityBakuAzerbaijan Department of Biomedical Engineering Faculty of Electrical and Computer EngineeringUniversity of TabrizTabrizIran

Blockchain can mean many things to many *** is a set of protocols and encryption technologies for securely storing data on a distributed network for the *** is a distributed ledger for business and finance and the technology underlying the explosion of new digital *** technologists,it is the driving force behind the next generation of the *** the other hand,it is a transformational technology facilitating large-scale human progress in previously unimagined ways for the rest of the people,a tool for radically reshaping society and *** view it as a disruptive technology that can be the source of a great deal of fraud,illegal activity,where others see opportunities to bring into existing systems by providing decentralization,transparency,and *** complex technological,economic,and social phenomenon has been the subject of fervent *** calls into question what might have been seen to be established parameters of the modern world like currency,economics,trust,value,and *** is a revolutionary new computing paradigm and one of the most significant,fundamental digital platforms’advances since the *** is an emergent technology experiencing very rapid evolution,and so is our understanding of what it is and what it can *** paper is subject to the use of Blockchain concepts in mobile networks to strengthen the Home Location Registry(HLR)database and make it decentralized for secure transactions and in banking and financial *** also holds potential implications for global *** could make trade more efficient by removing the manual and paper-based processes and introducing streamlined and automated processes.

关键词： Blockchain Mobile Network Home Location Registry Mobile Technology

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Implementing a Robust and Scalable Detect-and-Avoid Algorithm for UAV Navigation in ROS 15

Implementing a Robust and Scalable Detect-and-Avoid Algorith...

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15th International Conference on Information, Intelligence, Systems and Applications, IISA 2024

作者： Meimetis, Dimitrios Daramouskas, Ioannis Lappas, Vaios Perikos, Isidoros Kapoulas, Vaggelis Paraskevas, Michael Nkua Department of Aerospace Science & Technology Athens Greece Computer Technology Institute and Press 'Diophantus' Patras Greece UoP Applied Mechanics Lab Patras Greece UoP Computer Engineering and Informatics Department Patras Greece Computer Technology Institute and Press 'Diophantus' University of Peloponnese Electrical and Computer Engineering Dept. Patras Greece

ISBN: (纸本)9798350368833

Unmanned aerial vehicles (UAVs) have garnered significant attention from the research community during the last decade, due to their diverse capabilities and potential applications. One of the most critical functions that drones must execute efficiently is navigation in real-world environments. This paper presents a decentralized approach for enabling unmanned aerial vehicles (UAVs) to navigate safely in unknown environments and avoid obstacles. Leveraging the Optimal Reciprocal Collision Avoidance (ORCA) algorithm, implemented in the Robot Operating System (ROS), our method facilitates conflict detection and resolution in 2D environments. Through simulations using ROS, Gazebo, and Iris drones, we validate the effectiveness of our approach in scenarios with initial trajectory conflicts. Our work addresses the pressing need for UAVs to autonomously plan and execute safe flights, laying the groundwork for enhanced UAV capabilities in various real-world applications. The simulation results demonstrate the efficiency and robustness of our approach. © 2024 IEEE.

关键词： Drones

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Noise Reduction in Industry Based on Virtual Instrumentation

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computers, Materials & Continua 2021年第10期69卷 1073-1096页

作者： Radek Martinek Rene Jaros Jan Baros Lukas Danys Aleksandra Kawala-Sterniuk Jan Nedoma Zdenek Machacek Jiri Koziorek Faculty of Electrical Engineering and Computer Science Department of Cybernetics and Biomedical EngineeringVSB–Technical University of Ostrava70800Ostrava-PorubaCzechia Faculty of Electrical Engineering Automatic Control and InformaticsOpole University of TechnologyOpolePoland Faculty of Electrical Engineering and Computer Science Department of TelecommunicationsVSB–Technical University of Ostrava70800Ostrava-PorubaCzechia

This paper discusses the reduction of background noise in an industrial environment to extend *** the Industry 4.0 era,the mass development of voice control(speech recognition)in various industrial applications is possible,especially as related to augmented reality(such as hands-free control via voice commands).As Industry 4.0 relies heavily on radiofrequency technologies,some brief insight into this problem is provided,including the Internet of things(IoT)and 5G *** study was carried out in cooperation with the industrial partner Brose CZ spol.s.r.o.,where sound recordings were made to produce a *** experimental environment comprised three workplaces with background noise above 100 dB,consisting of a laser/magnetic welder and a press.A virtual device was developed from a given dataset in order to test selected commands from a commercial speech recognizer from *** tested a hybrid algorithm for noise reduction and its impact on voice command recognition *** virtual devices,the study was carried out on large speakers with 20 participants(10 men and 10 women).The experiments included a large number of repetitions(100 times for each command under different noise conditions).Statistical results confirmed the efficiency of the tested *** welding environment efficiency was 27%before applied filtering,76%using the least mean square(LMS)algorithm,and 79%using LMS+independent component analysis(ICA).Magnetic welding environment efficiency was 24%before applied filtering,70%with LMS,and 75%with LMS+*** workplace environment efficiency showed no success before applied filtering,was 52%with LMS,and was 54%with LMS+ICA.

关键词： 5G hybrid algorithms signal processing speech recognition

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An Interdisciplinary Approach for Environmental Sustainability: A New Metric for Land Use Estimation 13

An Interdisciplinary Approach for Environmental Sustainabili...

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13th International Multi-Conference on Complexity, informatics and Cybernetics, IMCIC 2022

作者： Albanesi, Maria Grazia Department of Electrical Computer and Biomedical Engineering University of Pavia PaviaI-27100 Italy

ISBN: (纸本)9781950492602

This paper describes a new metric for land use estimation based on two indicators: the Anthropentropy Factor, which expresses the impact of anthropic settlements on wild nature, and the Forest Status Quality, which measures quality and extension of the forests according to their ecological components. The novelty of this contribution consists in the combination of the two indicators into a single Smart Land Use Estimator, and in the embedding of a new parameter related to the hydrogeological risk of the territory. This is multidisciplinary study because tools and algorithms of computer Science (image processing) are applied to data and concepts coming from Botany, Hydrology and Geology. For this reason, in the paper, some issues and proposed solutions about the multidisciplinary communication are investigated. The application of this smart indicator is to drive policy makers by suggesting the opportunity or not to build new anthropic settlements for a real sustainable development, by considering both biodiversity preservation and human safety against catastrophic events, such as landslides and floods. The results are presented for a part of the territory in the North of Italy in which the hydrogeologic risk and the impact of human settlements (population density and land use) are particularly high. © 2022 IMCIC 2022 - 13th International Multi-Conference on Complexity, informatics and Cybernetics, Proceedings. All rights reserved.

关键词： Land use

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Residential electrical storage: feasibility study for hybrid residential PV/battery systems in Cyprus

Residential electrical storage: feasibility study for hybrid...

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14th Mediterranean Conference on Power Generation Transmission, Distribution and Energy Conversion (MEDPOWER 2024)

作者： Kypros Tillyros Michael Komodromos Marios Lestas Nicholas Christofides Department of Electrical Engineering Computer Engineering and Informatics Frederick University Nicosia Cyprus

ISBN: (数字)9781837242689

This paper presents a simulation study on integrating grid-connected photovoltaic (PV) systems with a potential to implement battery storage in residential settings. It analyses the performance and feasibility of such systems in enhancing self-consumption and energy export. The simulation model considers factors like household energy demand profiles, and PV output profiles. Through this analysis, it is anticipated to offer insights for homeowners, policymakers, and industry stakeholders on achieving greater energy independence and resilience. Finally, findings show that the attempt to effectively utilise battery storage in a residence while aiming for the most economically feasible system heavily depends on the load demand. It was observed that no matter the profile of the building or the energy utilisation, there is no significant change in energy costs. However, the results manifested an upcoming trend for utilising energy that will prove beneficial for costumers.

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E-Unet: A deep learning method for photoacoustic signal enhancement

E-Unet: A deep learning method for photoacoustic signal enha...

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Photons Plus Ultrasound: Imaging and Sensing 2023

作者： Aggrawal, Deepika Zafar, Mohsin Islam, Md Tarikul Manwar, Rayyan Schonfeld, Dan Avanaki, Kamran Department of Electrical and Computer Engineering University of Illinois ChicagoIL United States Richard and Loan Hill Department of Biomedical Engineering University of Illinois ChicagoIL United States

ISBN: (纸本)9781510658639

We developed a deep learning algorithm, called enhancement Unet (E-Unet), to improve the signal-to-noise ratio (SNR) of signals acquired in a photoacoustic computed microscopy (PAM) system. We tried various combination of custom loss functions which included peak-amplitude, peak-position and mean-squared signal value with Adam optimizer for training purposes. For the testing purposes, we acquired PAM data with complicated phantoms in biological tissue. The performance of the improved signals is evaluated in terms of SNR, structural similarity index (SSIM), root mean square error (RMSE) and Pearson correlation. © 2023 SPIE.

关键词： Signal to noise ratio

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Influence of Gestational Diabetes on Fetal Heart Rate in Antepartum Cardiotocographic Recordings

Influence of Gestational Diabetes on Fetal Heart Rate in Ant...

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2022 Computing in Cardiology, CinC 2022

作者： Steyde, Giulio Daniele, Beniamino Spairani, Edoardo Magenes, Giovanni Signorini, Maria Gabriella Milan Italy University of Pavia Department of Electrical Computer and Biomedical Engineering Pavia Italy

ISBN: (纸本)9798350300970

In pregnancy, diabetes is known to increase the risk of adverse maternal and neonatal outcomes. It would be beneficial to find techniques that allow early investigation of the physio-pathological mechanisms involved to provide clinicians with tools for prevention and therapies. For that, cardiotocography (CTG) is a promising tool. However, the evidence is still scarce and the impact on clinical practice little. In this study, we aim at characterizing the changes induced by gestational diabetes (GDM) on the fetal heart rate series. To do so, we performed a retrospective cohort study on a CTG dataset containing more than 20000 recordings of which 852 belong to 301 GDM-diagnosed patients. We divided the recordings by gestational age (G.A.) into 4 groups (weeks: 31-35, 36, 37,38 to delivery) and for each we identified a control population of equal size matched by comorbidities. We analyzed a comprehensive set of parameters from the time domain, frequency domain and non-linear analysis and assessed variations in median values on each feature. For all G.A. below the 38th week, we found a significant increase in the power in the movement frequency band (p © 2022 Creative Commons.

关键词： Time domain analysis

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A High-Voltage TX/RX Switch with 3.3-V Supply for Ultrasound Imaging Front-End ASICs

A High-Voltage TX/RX Switch with 3.3-V Supply for Ultrasound...

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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： Abdollah Amini Elisabetta Moisello Piero Malcovati Edoardo Bonizzoni Department of Electrical Computer and Biomedical Engineering University of Pavia Italy

ISBN: (数字)9798350377200

ISBN: (纸本)9798350377217

This paper proposes a novel switch implementation for enabling transmitting and receiving (TX/RX) through one single wire in ultrasound imaging transceivers. The proposed structure consists of a resistor and two current sources controlled by a DC loop. This implementation allows driving the primary switch with the low-voltage (LV) power supply available for the transceiver front-end, while providing isolation to the front-end from the high-voltage (HV) pulses required for driving the transducer in TX mode. Furthermore, by employing a DC control loop, the design not only ensures off-isolation, but also allows having zero leakage current. The proposed TX/RX switch has been designed in a 160-nm bipolar-CMOS-DMOS silicon-on-insulator (BCD-SOI) technology with a 3.3-V supply voltage. Simulation results of the proposed structure confirm its effectiveness in achieving isolation voltages of up to 200 V peak-to-peak at 3-MHz operational frequency with -42-dB off-isolation.

关键词： Resistors Low voltage Ultrasonic imaging Transducers Power supplies Imaging Switches High-voltage techniques Transceivers Switching circuits

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