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SSRN 2023年

作者： Attia, Nehal F. Faheem Said Ahmed, Mohamed T. Alshewimy, Mahmoud A.M. Computer and Automatic Control Dept. Faculty of Engineering Tanta University Tanta Egypt

Among the various ways of self-expression and communication between people, communication by speaking prevails. Speech presents a significant challenge for some disabled people, such as the deaf, hearing impaired, wordless, and dumb persons. Therefore, these people rely on the use of sign language to interact with others. Sign language is a system of movements and visual messages that ensure the integration of these individuals into groups that communicate vocally. On the other side, it is necessary to understand the gestures and linguistic semantics of these individuals. The main objective of this study is to establish a new model that enhances the performance of the existing paradigms in use for the recognition of American Sign Language (ASL). Therefore, three enhanced deep-learning models of YOLOv5 for recognizing the alphabetic and numeric information conveyed by hand motions are presented in this paper. These models depend on using different attention approaches. The suggested models were evaluated using the MU HandImages ASL dataset. The proposed models yielded superior results compared to those achieved by the initial version of YOLOv5. The modified models have reached their maximum accuracy of 98.9%, maximum recall of 97.5%, maximum mAP 0.5 of 99.2%, and maximum mAP 0.5:0.95 of 98.9%. © 2023, The Authors. All rights reserved.

关键词： computer vision

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A hierarchical and modular agent-oriented framework for power systems co-simulations

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Energy Informatics 2022年第4期5卷 48页

作者： De Vizia, Claudia Macii, Alberto Patti, Edoardo Bottaccioli, Lorenzo Dept. of Control and Computer Engineering Politecnico di Torino Turin Italy Interuniversity Dept. of Regional and Urban Studies Politecnico di Torino Turin Italy

During the last decades, numerous simulation tools have been proposed to faithfully reproduce the different entities of the grid together with the inclusion of new elements that make the grid "smart". Often, these domain-specific simulators have been then coupled with co-simulation platforms to test new scenarios. In parallel, agent-oriented approaches have been introduced to test distributed control strategies and include social and behavioural aspects typical of the consumer side. Rarely, simulators of the physical systems have been coupled with these innovative techniques, especially when social and psychological aspects have been considered. In order to ease the re-usability of these simulators, avoiding re-coding everything from scratch, we propose a hierarchical and modular agent-oriented framework to test new residential strategies in the energy context. If needed, the presented work enables the user to select the desired level of details of the agent-based framework to match the corresponding physical system without effort to test very different scenarios. Moreover, it allows adding on top of the physical data, behavioural aspects. To this end, the characteristics of the framework are first introduced and then different scenarios are described to demonstrate the flexibility of the proposed work: (i) a first stand-alone scenario with two hierarchy levels, (ii) a second co-simulation scenario with a photovoltaic panel simulator and (iii) a third stand-alone scenario with three hierarchy levels. Results demonstrate the flexibility and ease of use of the framework, allowing us to compare several scenarios and couple new simulators to build a more and more complex environment. The framework is in the early stages of its development. However, thanks to its properties in the future it could be extended to include new actors, such as industries, to get the full picture. © 2022, The Author(s).

关键词： Smart power grids

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Deep Learning-Based Retinal Blood Vessel Segmentation Using U-Net Architecture

Deep Learning-Based Retinal Blood Vessel Segmentation Using ...

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E-Health and Bioengineering Conference (EHB)

作者： Ligia-Gabriela Boazu Marian-Alexandru Petraru Otilia Zvorișteanu Dept. of Computer Science and Engineering Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iași Iași Romania

ISBN: (数字)9798331532147

ISBN: (纸本)9798331532154

Retinal blood vessel segmentation is an essential component in the diagnosis and monitoring of various ophthalmological conditions, such as diabetic retinopathy, glaucoma or macular degeneration, providing valuable information about the state of blood vessels and ocular blood circulation. Traditional methods for segmenting blood vessels from retinal images present certain limitations in terms of accuracy and robustness, especially under variable lighting conditions, the presence of artifacts or low-quality images. However, current techniques based on convolutional neural networks have demonstrated the ability to achieve precise and robust segmentations in a variety of conditions, outperforming traditional methods. Nevertheless, neural networks face challenges regarding the limited availability of retinal image datasets necessary for training and evaluating these solutions. In this paper we describe a solution for retinal blood vessel segmentation using the U-Net architecture. This neural network achieves impressive results even with very small datasets, demonstrating the efficiency and robustness of the U-Net architecture for retinal blood vessel segmentation.

关键词： Training Macular degeneration Image segmentation Neural networks Blood vessels Network architecture Retina Robustness Monitoring Biomedical imaging

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Enhancing Learning and Therapy for Children with Autism: Innovative Activities with the NAO Robot

Enhancing Learning and Therapy for Children with Autism: Inn...

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E-Health and Bioengineering Conference (EHB)

作者： Iustina-Bianca Bulai Otilia Zvorişteanu Dept. of Computer Science and Engineering Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iaşi Iaşi Romania

ISBN: (数字)9798331532147

ISBN: (纸本)9798331532154

Worldwide, autism affects 1 in 100 children, with diagnoses steadily rising since the 2000s. Romania lacks official statistics on autism prevalence, but global estimates suggest similarity. Children with autism struggle with social interactions and verbal communication, prompting interest in social robots for therapy and education. Tailored robot-assisted sessions offer potential for cognitive development, vocabulary enhancement, social interaction, and behavioral stimulation like concentration and attention. The NAO robot's user-friendly design, technical capabilities, and integrated features make it well-suited for these purposes. This paper presents activities that exemplify the concept of “learning through play,” allowing children to engage in exploration, experimentation, and effective learning in an enjoyable manner.

关键词： Autism Vocabulary Hospitals Social robots Education Biomedical engineering

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Method for Increasing the OpAmp's Speed on the Basis of Complementary 'Folded' Cascodes

Method for Increasing the OpAmp's Speed on the Basis of Comp...

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2024 Conference of Young Researchers in Electrical and Electronic engineering, ElCon 2024

作者： Kleimenkin, Dmitriy V. Pakhomov, Ilya V. Denisenko, Darya Y. Don State Technical University Dept. of Scientific Research Dept. of Information Systems and Radio Engineering Rostov-on-Don Russia Don State Technical University Dept. of Scientific Research Dept. of Instrumentation and Biomedical Engineering Rostov-on-Don Russia Don State Technical University Dept. of Scientific Research Rostov-on-Don Russia Southern Federal University Dept. of Automatic Control Systems Rostov-on-Don Russia

ISBN: (纸本)9798350360646

The paper presents a promising method of increasing by more than an order of magnitude the maximum slew rate (SR) of integrated operational amplifiers (OpAmps) based on two-cycle 'folded' cascodes. This method is based on the introduction of special differentiating transient correction circuits into the classical circuits of OpAmps. Developed on the basis of the MH2XA031 array chip, the high-speed OpAmp is recommended for practical use in the subclass of so-called discrete-analog SC-filters on switched capacitors, for which (in some important cases) higher SR values are required. The effect of significantly improving the OpAmp's speed is to provide higher output current levels of the two-cycle 'folded' cascode that recharges the integrating correction capacitor during the transient edge. The OpAmp's speed performance in the large-signal mode is increased from 248.7 ~V / μ s to 4148 ~V / μ s as a result of this. © 2024 IEEE.

关键词： BJT GaAs high-temperature chips high-temperature integrated resistors nJFET operational amplifier

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Design of Output and Impacts control Systems

Design of Output and Impacts Control Systems

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2023 International Russian Automation Conference, RusAutoCon 2023

作者： Gaiduk, Anatoly Prokopenko, Nikolay Chumakov, Vladislav Southern Federal University Scientific Design Office Robotics and Control Systems Taganrog Dept. of Automatic Control Systems Rostov-on-Don Russia Don State Technical University Dept. of Scientific Research Dept. of Information Systems and Radio Engineering Rostov-on-Don Russia

ISBN: (纸本)9798350345551

To design linear control systems a new method is suggested on the basis of the principle of output and impacts control. The main difference of this principle consists in the use of only measurable variables and separate operators for each input signal of the control device. The design problem has a solution if the plant is completely controllable, and at least the controllable variable is measured. The suggested approach makes it possible to eliminate the well-known contradiction between the accuracy and stability of systems with control on deviation, and to provide the required astatism orders or selective invariance to the external actions. At the same time, the conditions of ensuring the direct indicators of the transient quality and the physical implementation of the control device are taken into account. The coefficients of the equation of the output and impacts control device are determined by solving a system of linear algebraic equations. The control device can be implemented on the basis of either operational amplifiers or sufficiently high-speed digital automation tools. The suggested method can be applied for designing high-quality linear control systems for various purposes. © 2023 IEEE.

关键词： Operational amplifiers

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Averaged Models and Analysis of a Three-Phase CSI as a Dual of a Three-Phase VSI 25

Averaged Models and Analysis of a Three-Phase CSI as a Dual ...

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25th IEEE International Conference on Industrial Technology, ICIT 2024

作者： Pujol, Pau Boira Dòria-Cerezo, Arnau Griñó, Robert Universitat Politècnica De Catalunya Barcelona Spain Ioc Universitat Politècnica De Catalunya Dept. Electrical Engineering Barcelona Spain Ioc Universitat Politècnica De Catalunya Dept. Automatic Control Barcelona Spain

ISBN: (纸本)9798350340266

The averaged model of a current source inverter (CSI) as a voltage source inverter (VSI) dual is presented in this paper. The differential equations defining the CSI are in-troduced in matrix representation for phase-to-phase and phase-to-neutral voltages and expressed using the Clarke and Park transformations. This multiple-input, multiple-output system is studied through the transfer function matrix of the linearized model, and the results are related to original CSI dynamics. Finally, open-loop simulations using Matlab/Simulink and realtime Typhoon-HIL have been carried out to validate the models. © 2024 IEEE.

关键词： Simulink

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Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-And-Crazy-Idea Paper

Neuro-Symbolic Empowered Denoising Diffusion Probabilistic M...

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2023 Forum on Specification and Design Languages, FDL 2023

作者： Capogrosso, Luigi Mascolini, Alessio Girella, Federico Skenderi, Geri Gaiardelli, Sebastiano Dall'Ora, Nicola Ponzio, Francesco Fraccaroli, Enrico Di Cataldo, Santa Vinco, Sara Macii, Enrico Fummi, Franco Cristani, Marco Dept. of Engineering for Innovation Medicine University of Verona Italy Dept. of Control and Computer Engineering Polytechnic of Turin Italy Dept. of Regional and Urban Studies and Planning Polytechnic of Turin Italy Dept. of Computer Science University of North Carolina at Chapel Hill United States

ISBN: (纸本)9798350307375

Industry 4.0 involves the integration of digital technologies, such as IoT, Big Data, and AI, into manufacturing and industrial processes to increase efficiency and productivity. As these technologies become more interconnected and interdependent, Industry 4.0 systems become more complex, which brings the difficulty of identifying and stopping anomalies that may cause disturbances in the manufacturing process. This paper aims to propose a diffusion-based model for real-Time anomaly prediction in Industry 4.0 processes. Using a neuro-symbolic approach, we integrate industrial ontologies in the model, thereby adding formal knowledge on smart manufacturing. Finally, we propose a simple yet effective way of distilling diffusion models through Random Fourier Features for deployment on an embedded system for direct integration into the manufacturing process. To the best of our knowledge, this approach has never been explored before. copy;2023 IEEE. © 2023 IEEE computer Society. All rights reserved.

关键词： Industry 4.0

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MIRROR: MiRNA regulation-level differential network to study sex and ethnic disparities in cancer 46

MIRROR: MiRNA regulation-level differential network to study...

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

作者： Alfano, Caterina Filetti, Marco Farina, Lorenzo Petti, Manuela Sapienza University of Rome Dept. of Experimental Medicine Rome Italy Fondazione Policlinico Universitario A. Gemelli Irccs Phase 1 Unit Rome Italy Sapienza University of Rome Dept. of Computer Control and Management Engineering PhD Program in Network Oncology and Precision Medicine Rome Italy Sapienza University of Rome Dept. of Computer Control and Management Engineering Rome Italy

ISBN: (纸本)9798350371499

Cancer disparities are adverse differences in cancer measures that exist among certain population groups. Given that the role they play not only in the disease prognosis but also in therapy response, there is an urgent need to understand what causes them. Most studies investigate these disparities by analyzing transcriptomic data and in particular miRNAs for their regulatory role, but only focusing on expression levels. To face this challenge we propose MIRROR, a new method which analyzes a differential co-expression network of miRNAs between patients' cohorts, to study the role they play at the target genes' level. Doing so, we can study the altered molecular mechanism that are linked to cancer disparities. The application of MIRROR to two different cases of cancer disparities has demonstrated its efficacy in identifying molecular players involved in the considered disparity, presenting itself as a viable option to approach this challenge. © 2024 IEEE.

关键词： differential network modeling disparities in cancer graph theory miRNA-target association transcriptomics

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Robust control of Right Invertible Nonlinear Systems

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IFAC-PapersOnLine 2024年第5期58卷 144-151页

作者： Alberto Isidori Dept. of Computer Control and Management Engineering “Sapienza” University Rome Italy

In a MIMO a nonlinear system having the same number of inputs and outputs, if certain coefficients that characterize its normal form have a special structure, a number of relevant design problems can been successfully addressed. In this paper we consider the more general case of a system having more inputs than outputs, we show that such special structure implies the regularity of the algorithm for construction of a right-inverse, and we show how a recently developed design method for robust control can be implemented on this class of MIMO systems.

关键词： Nonlinear systems multivariable systems right-invertibility normal forms feedback linearization

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