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International Symposium on Communication Systems, Networks and Digital Signal Processing, CNSDSP

作者： George-Iulian Uleru Mircea Hulea Zabih Ghassemlooy Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Iasi Romania Photonics Technologt Lab Optical Communications Research Group. FEE Northumbria University Newcastle upon Tyne United Kingdom

ISBN: (数字)9798350348743

ISBN: (纸本)9798350348750

Optical axons with visible light communication (VLC) can be used to connect areas of spiking neurons that are in relative motion to each other. In electro-optical-based spiking neural network the parallel transmission of the spikes generated by many neurons is achieved by multiplexing of optical signals. Alternatively, serial transmission of the optical pulses is possible if the activation rate of the neurons permits additional delays. In low-speed VLC systems, an energy efficient photovoltaic panels (PVs) could be used for energy harvesting and data reception (i.e., photodetectors). In this work, we report a multi-input optical axon VLC link with PV -based receiver and evaluate its performance in terms of the bit error ratio (BER) when PV panel powers the SOMAs of the neurons at the transmitter side. The results show that with power harvesting BER varies between 16% and ~40% when the channel length and misalignment are in the ranges 5 - 15 cm, and 0 - 60 degree, when the ambient light is around 280 lux. In the dark these parameters, when the ambient light is below 10 lux, BER drops under 10% for line of sight and distances up to 5 m.

关键词： Axons Neurons Optical computing Optical fiber networks Optical receivers Adaptive optics Optical transmitters

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SPARSE REPRESENTATIONS OF DYNAMICAL NETWORKS: A COPRIME FACTORIZATION APPROACH

arXiv

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arXiv 2022年

作者： Sabău, Serban Sperila, Andrei Oara, Cristian Jadbabaie, Ali Electrical and Computer Engineering Department Stevens Institute of Technology HobokenNJ07030 United States Faculty of Automatic Control and Computers "Politehnica" University of Bucharest Sector 6 060042 Romania CambridgeMA02139 United States

We study a class of dynamical networks modeled by linear and time-invariant systems which are described by state-space realizations. For these networks, we investigate the relations between various types of factorizations which preserve the structure of their component subsystems’ interconnection. In doing so, we provide tractable means of shifting between different types of sparsity-preserving representations and we show how to employ these factorizations to obtain distributed implementations for stabilizing and possibly stable controllers. By formulating all these results for both discrete- and continuous-time systems, we develop specialized distributed implementations that, up to this point, were only available for networks modeled as discrete-time *** Codes 93A14, 93B99, 93C05 © 2022, CC BY.

关键词： Continuous time systems

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Service Orientation in Holonic and Multi-Agent Manufacturing 1

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丛书名： Studies in Computational Intelligence

1000年

作者： Theodor Borangiu Damien Trentesaux André Thomas Sergio Cavalieri

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Handwritten Signature Recognition using Parallel CNNs and Transfer Learning for Forensics

Handwritten Signature Recognition using Parallel CNNs and Tr...

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： Jaouhar Fattahi Feriel Sghaier Mohamed Mejri Ridha Ghayoula Emil Pricop Baha Eddine Lakdher Department of Computer Science and Software Engineering Laval University Quebec Canada Carthage National Engineering School Carthage University Tunis Tunisia Faculty of Engineering University of Moncton Canada Computers & Electronics Department Automatic Control Petroleum-Gas University of Ploieşti Ploieşti Romania Faculty of Science University of Monastir Monastir Tunisia

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

Handwritten signatures hold paramount importance in legal, financial, and administrative domains, necessitating the development of robust signature recognition tools for forensic applications. This paper introduces a handwritten signature recognition (HSR) model employing Parallel Convolutional Neural Networks (CNN) tailored for forensic endeavors. Utilizing the parallel processing capabilities of CNN, our proposed approach adeptly analyzes and extracts discriminative features from handwritten signature images to facilitate precise recognition. In addition, we leverage several transfer learning techniques by parallelizing proven pre-trained CNNs. Extensive experimentation validates the efficacy of our approach on a standard dataset, demonstrating high accuracy and resilience in signature recognition tasks. The proposed approach exhibits substantial promise in augmenting forensic investigations by automating signature verification processes, thereby bolstering fraud detection efforts and upholding the integrity of legal documentation.

关键词： Deep learning Handwriting recognition Forensics Face recognition Transfer learning Feature extraction Fraud Convolutional neural networks Standards Resilience

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Development of a Decision Support Tool for Intelligent Manufacturing using Classification and Correlation Analysis

Development of a Decision Support Tool for Intelligent Manuf...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Dariusz Król Jan Skowroński Maciej Zareba Krzysztof Bartecki Department of Information Systems Faculty of Computer Science and Management Wrocław University of Science and Technology Poland Legnicka 55F 53–203 Wrocław Wrocław University of Science and Technology Poland DSR Legnicka 55F 53—203 Wrocław Poland Institute of Automatic Control Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Poland

The development of the Production Unit Performance Management Tool (PUPMT), a monitoring and diagnostic tool to select basic signals that have a significant impact on output KPIs, is based on a hierarchical analysis of key performance indicators presented in the ISO 22400 standard. The growing number of quantified signals, such as ambient temperature or even the frequency of vibrations makes decision support tools more intelligent. Moreover, they also include predictive analysis in addition to online presentation of the current state of resources. PUPMT tool allows identifying key events that have a significant impact on current or future benefit in production output. It also allows what-if type analysis, running the simulation of the impact of the proposed changes, and the results of this simulation depend on the effects of similar changes that occurred in the past in a given smart manufacturing environment. Thanks to the automatic identification of potential dependencies, the proposed solution adapts to the specifics of a given environment or even a selected production unit. The paper describes the most important methods featured in the tool. Specifically, it considers a signal classification method, a signal correlation analysis and selection of key factors affecting the efficiency of the production process. In order to verify the methods various tests were carried out to calculate and control of OEE index on 20 production units. Finally, we conclude current results and future research directions.

关键词： Conferences Cybernetics

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Game controller Based On Biomedical Signals

Game Controller Based On Biomedical Signals

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International Conference on Methods and Models in Automation and Robotics

作者： Aleksandra Kawala-Janik Michal Podpora Arkadiusz Gardecki Wojciech Czuczwara Jerzy Baranowski Waldemar Bauer Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology ul. Proszkowska 76 bud. 1 45-756 Opole Poland AGH University of Science and Technology Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering al. Mickiewicza 30 30-059 Krakow Poland

ISBN: (纸本)9781479987023

Modern, based on biomedical signals interfaces have become recently very complex, however the complexity does not always lead to increased functionality or usability. In particular, when it comes to handicapped users, the currently available solutions are far from satisfactory. In this paper an innovative approach for biomedical signals based interfaced with the implementation of an inexpensive gaming headset Emotiv EPOC was presented. The main goal was to design, and develop an intuitive and user-friendly interface based on implementation of various biomedical signals such as EEG or EMG. The project was primarily intended for handicapped users as a replacement for traditional interfaces such as keyboard or mouse, however its potential use was extended. The proposed system differs from the already existing interfaces mainly because of its versatility to work with various biomedical signals, thus enabling a single interface to be controlled with different devices. Initial investigation has proven that Emotiv EPOC headset could be applied as an inexpensive, easily available on the open market tool for Human-computer Interaction (HCI) systems for the gaming purpose.

关键词： Information Interfaces Human-computer Interaction (HCI) User Interfaces electroencephalography (EEG) Brain-computer Interfaces (BCI) non-integer filter games control gaming

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Multi-loop Sliding-Mode control for a Battery Charger Using a Quadratic Buck Converter

Multi-loop Sliding-Mode Control for a Battery Charger Using ...

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IEEE Annual Southern Power Electronics Conference (SPEC)

作者： Oswaldo López-Santos F. Flores-Bahamonde C. A. Torres-Pinzón Reham Haroun Hugo Valderrama-Blavi Juan A. Garriga Luis Martínez-Salamero Group of Automatic Control and Industrial Electronics Rovira i Virgili University Tarragona Spain Energy Transformation Center Faculty of Enigineering Universidad Andres Bello Chile Faculty of Electronic Engineering Universidad Santo Tomás Colombia Department of Computer Science and Industrial Engineering University of Lleida Lleida Spain

In this paper, the quadratic buck converter (QBC) is proposed as competitive alternative to implement a battery charger. Since, QBC is a high order system, the required control is designed to follow the conventional constant-current constant-voltage regime by means of three loops. Namely, i) an inner-loop operating in sliding mode to control the current of the closest inductor to the input port providing the properly stability of the system, ii) a first outer loop designed to regulate the battery voltage providing the reference of the inner loop, and finally iii) a second outer loop to regulate the battery current modifying the reference of the voltage loop. Proportional Integral (PI) controllers are used in both outer loops. Simulation results are presented validating the theoretical study.

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A Plagiarism Detection Architecture Based on OpenStack Services

A Plagiarism Detection Architecture Based on OpenStack Servi...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Georgian Vodă Adrian Alexandrescu Directorate of Informatization and Digital Communications “Gheorghe Asachi” Technical University of Iaşi Iaşi România Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iaşi Iaşi România

Plagiarism is a well-known problem that impacts the academic community. The escalation of source code plagiarism affects the quality of computer science and technology education. This article approaches a novel architecture for an academic plagiarism detection system focused on projects and source code. A part of the detection process is based on a few already existing open-source tools. All the system components use the OpenStack Cloud platform services for scalability, parallel processing of files, and load balancing. The solution also integrates with an identity and access management system, which contains users, roles, and cohorts. The proposed solution is an efficient approach for both organizing assignments at which students upload projects and for detecting plagiarism in all the submitted assignments.

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Software Implementation of a Smart Bracelet Prototype to Monitor Vital Signs, Locate, and Track COVID-19 Patients in Quarantine Zone

Software Implementation of a Smart Bracelet Prototype to Mon...

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Blockchain, Smart Healthcare and Emerging Technologies (SmartBlock4Health), IEEE International Conference on

作者： Hasan K. Naji Nicolae Goga Ammar J. M. Karkar Haider Abdullah Ali Mandana Falahi Iuliana Marin Popa Ramona-Cristina Doctoral School of Automatic Control and Computers University POLITEHNICA of Bucharest Bucharest Romania Faculty of Engineering in Foreign Languages University POLITEHNICA of Bucharest Bucharest Romania Molecular Dynamics Group University of Groningen Groningen Netherlands Department of electronic and communication engineering IT research and development centre University of Kufa Najaf Iraq Faculty of Automatic Control and Computers University POLITEHNICA of Bucharest Bucharest Romania Department of Computer Engineering Techniques Madenat Alelem University Collage Baghdad Iraq University POLITEHNICA of Bucharest Bucharest Romania

ISBN: (纸本)9781665460156

This paper describes the design and software implementation of a wearable prototype that allows users to monitor the vital signs of COVID-19 patients in quarantine areas. This prototype consists of two parts, the bracelet, andthe Base control unit (BCU). The bracelet is built with ESP8266 and sensors as main components, as well as the battery and other parts needed to fulfill the system's purpose (monitoring the vital signs of COVID-19 patients). At the same time, the Raspberry Pi (SCB) single board computer and GSM/GPRS/HAT are the main components of the Basic control Unit (BCU). The current work describes the main parts of the pseudocode, as well as the activity diagram for the microcontroller and Raspberry Pi. This paper describes the mechanism of sending alert messages, whereby the system's ability to configure two types of alert messages; (1) physician Messages (these Messages will be sent to the physicianassociated with the patient if one or more vital signs reach a critical value; these messages contain all measurements of a patient's vital signs); (2) Authorize messages (these messages will be sent if the quarantine rules are violated; the patient's location will be sent to the authorized person as a Google Mapslink). Also, this paper describes the graphical user interface for communication, management,. and interaction between the users of the system.

关键词： COVID-19 Microcontrollers Prototypes Medical services Sensor systems Real-time systems Sensors

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Implementation of Non-Integer Order Filtering for the Purpose of Disparities Detection in Beta Frequencies - A Pilot Study

Implementation of Non-Integer Order Filtering for the Purpos...

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International Conference on Methods and Models in Automation and Robotics

作者： Aleksandra Kawala-Janik Magda Zolubak Waldemar Bauer Bartosz Nazimek Tomasz Sobolewski Radek Martinek Marcin Sowa Mariusz Pelc Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Science and Technology Krakow Poland Department of Neurosurgery University Hospital in Opole Opole Poland Faculty of Electrical Engineering Silesian University of Technology Gliwice Poland Department of Cybernetics and Biomedical Engineering VSB-Technical University of Ostrava Ostrava Czech Republic

In this work the authors of the hereof paper describe pilot study on implementation of fractional order filtering applied for the purpose of disparities detection in Beta Frequencies. The Beta waves frequency range can be split into three sections, where the information provided by particular section enables more accurate medical diagnosis. Spectral analysis used in this study allowed appropriate isolation of the Beta waves. Implementation of non-integer order filtering in such study is innovative and provided some promising results.

关键词： Electroencephalography Spectrogram Electronic mail Frequency measurement Transfer functions Electrical engineering Stress

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