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Human-Computer Interaction, Optimization and Robotic Applications (HORA), International Congress on

作者： Muliyadi Muliyadi Melinda Melinda Yuwaldi Away Syahrul Gazali Doctoral Program School of Engineering Post Graduate Program Universitas Syiah Kuala Banda Aceh Indonesia Electrical Engineering Department Politeknik Negeri Lhokseumawe Aceh Indonesia Dept. Electrical Engineering and Computer Engineering Faculty Universitas Syiah Kuala Banda Aceh Indonesia Dept. Neurology Universitas Syiah Kuala Banda Aceh Indonesia Mahar Mardjono National Brain Center Hospital Jakarta Indonesia

ISBN: (数字)9798331510886

ISBN: (纸本)9798331510893

The increasing prevalence of autism spectrum disorder (ASD) in recent decades has underscored the need for more accurate and objective diagnostic methods. Electroencephalography (EEG) holds promise as a tool in ASD neurobiological research due to its ability to capture neural oscillatory activity with high temporal resolution. This study aims to analyze the neurophysiological differences between individuals with ASD and neurotypical populations by examining EEG data using Hjorth parameters. The preprocessing stage involved using a Butterworth filter to enhance EEG signal quality by eliminating noise in the frequency range of 4-40 Hz. The Hjorth parameters, including Activity, Mobility, and Complexity, were used to assess the statistical characteristics of the EEG signals. The analysis was conducted on EEG data collected from 5 typical individuals and 5 ASD ASD subjects. Our findings reveal that the Hjorth Activity parameter is notably lower in the ASD group across all regions, with the most significant differences observed in the left and right frontal areas, where average activity measures 0.236 μV 2 and 0.060 μV 2 in ASD individuals, compared to 0.512 μV 2 and 0.138 μV 2 in the neurotypical group. However, the Hjorth Complexity and Mobility values remained consistent between the two groups, implying that the fundamental structure of the EEG signals is relatively preserved. These findings offer insights into the neurobiological mechanisms of ASD and suggest the potential use of Hjorth parameters in developing more targeted interventions for individuals with ASD.

关键词： Human computer interaction Autism Frontal lobe Noise Neural activity Electroencephalography Complexity theory Signal resolution Robots Optimization

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Partial Discharge Source Classification Based on Machine Learning and PRPD

Partial Discharge Source Classification Based on Machine Lea...

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International Conference on High Voltage engineering and Application, ICHVE

作者： João Victor Jales de Melo George Rossany Soares de Lira Edson Guedes Da Costa Pablo Bezerra Vilar Antonio Francisco Leite Neto Lenilson Andrade Barbosa Allan David Da Costa Silva Ana Cristina de Freitas Marotti André Irani Costa Post-graduate Program Federal University of Campina Grande Campina Grande Brazil Electrical Engineering Department Federal University of Campina Grande Campina Grande Brazil Eletrobras S.A. Rio de Janeiro Brazil

ISBN: (数字)9798350374988

ISBN: (纸本)9798350374995

A method for analyzing partial discharges is proposed to detect faults and evaluate the operational status of electrical system assets. Initially, the effectiveness of the method was hindered by electromagnetic interferences affecting the sensor, including corona, surface discharges, and radio signals. To address this challenge, multiple layers of signal processing were introduced. This paper proposes a new methodology for noise removal and classification of partial discharge sources based on clustering pulses by attributes derived from their shape. Consequently, it became feasible to distinguish partial discharges from the various sources of interference present in the measurements. The methodology was tested using a dataset of partial discharge measurements obtained from Current Transformers at an Eletrobras group substation in Brazil. Through this testing, the methodology proved capable of assessing the status of the analysed equipment.

关键词： Partial discharges Partial discharge measurement Substations Current transformers Current measurement Noise Fault location

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An Efficient Three-Factor Authenticated Key Agreement Technique Using FCM Under HC-IoT Architectures

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Computers, Materials & Continua 2022年第7期72卷 1373-1389页

作者： Chandrashekhar Meshram Agbotiname Lucky Imoize Sajjad Shaukat Jamal Parkash Tambare Adel R.Alharbi Iqtadar Hussain Department of Post Graduate Studies and Research in Mathematics Jayawanti Haksar Government Post-Graduation CollegeCollege of Chhindwara UniversityBetul460001M.P.India Department of Electrical and Electronics Engineering Faculty of EngineeringUniversity of LagosAkokaLagos100213Nigeria Department of Electrical Engineering and Information Technology Institute of Digital CommunicationRuhr University44801BochumGermany Department of Mathematics College of ScienceKing Khalid UniversityAbhaSaudi Arabia Water Resources&Applied Mathematics Research Lab Nagpur440027India College of Computing and Information Technology University of TabukTabuk71491Saudi Arabia Mathematics Program Department of MathematicsStatistics and PhysicsCollege of Arts and SciencesQatar University2713DohaQatar

The Human-Centered Internet of Things(HC-IoT)is fast becoming a hotbed of security and privacy *** users can establish a common session key through a trusted server over an open communication channel using a three-party authenticated key *** of the early authenticated key agreement systems relied on pairing,hashing,or modular exponentiation processes that are computationally intensive and *** order to address this problem,this paper offers a new three-party authenticated key agreement technique based on fractional chaotic *** new scheme uses fractional chaotic maps and supports the dynamic sensing of HC-IoT devices in the network architecture without a password *** projected security scheme utilized a hash function,which works well for the resource-limited HC-IoT *** results show that our new technique is resistant to password guessing attacks since it does not use a ***,our approach provides users with comprehensive privacy protection,ensuring that a user forgery attack causes no ***,our new technique offers better security features than the techniques currently available in the literature.

关键词： Three-party authenticated key agreement anonymity fractional chaotic maps Chebyshev polynomial password table human-centered internet of things(HC-IoT)

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Artificial Intelligence-Based Recommendation System for Detecting and Diagnosing Broken Bars in Induction Motors Under Transient Operation

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IFAC-PapersOnLine 2024年第19期58卷 1156-1161页

作者： Narco A.R. Maciejewski Roberto Z. Freire Anderson L. Szejka Thiago P.M. Bazzo Sofia M.A. Lopes Rogério A. Flauzino Department of Electrical Engineering - DAELT-CT Universidade Tecnológica Federal do Paraná - UTFPR Curitiba PR 80230-90 Brazil Production and Systems Engineering - PPGEPS-PB Energy Systems - PPGSE-CT Industrial and Systems Engineering Graduate Program - PPGEPS Pontifical Catholic University of Parana - PUCPR Curitiba PR 80215-901 Brazil Electrical Engineering - PPGEE-SC São Carlos School of Engineering - EESC Universidade de São Paulo - USP São Carlos SP 13566-590 Brazil

Three-phase induction motors are the main elements for converting electrical energy into mechanical energy and are extensively used in industry. Reducing maintenance costs becomes an incentive for developing systems capable of identifying defects. This research proposes a framework for recommending machine learning algorithms that diagnose and detect broken bar defects in three-phase induction motors under transient operation based on artificial intelligence. Employing experimental data, features were extracted and selected based on current, voltage, and vibration. A protocol of insertion of white noise showed that the proposed framework admitted 80% of noise without losing the predictive capacity based on a multicriteria performance measure.

关键词： condition monitoring fault detection fault classification machine learning maintenance engineering smart systems three-phase induction motor

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Design trade-offs of PV dc-dc module integrated converter: standards constraints

Design trade-offs of PV dc-dc module integrated converter: s...

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Brazilian Power Electronics Conference, COBEP

作者： Miréli Binder Vendruscolo João Paulo Costa Lima Leandro Michels António Manuel Santos Spencer Andrade Marcello Mezaroba Graduate Program in Electrical Engineering (PPGEE) Federal University of Santa Maria Santa Maria Brazil

ISBN: (纸本)9781665421300

Module-integrated dc/dc converter (MIC) is a converter approach that has been of increasing importance in photovoltaic (PV) system applications. These systems comprise PV modules integrated with dc/dc converter that step-up voltage and perform maximum power point tracking (MPPT) for each module. However, these converters present many challenges related both to user safety and electrical circuit protection. This paper presents an analysis of how the most important standards addressing quality, efficiency, safety, and operational requirements impact the design of MICs. Based on this analysis, it is discussed design trade-offs for MIC designers and future trends intelligent modules (MLPE). This paper proposes how these standards are handled by intelligent modules (MLPE), such as optimizers, microinverters, and MICs.

关键词： Maximum power point trackers Photovoltaic systems Microwave integrated circuits Voltage Market research Power electronics Safety

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Interoperability Middleware for IIoT Gateways based on Standard Ontologies and AAS

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IFAC-PapersOnLine 2023年第2期56卷 9831-9836页

作者： Pedro Henrique Morgan Pereira Gustavo Cainelli Carlos Eduardo Pereira Edison Pignaton de Freitas SENAI Institute of Innovation in Integrated Solutions in Metal Mechanics São Leopoldo Brazil Institut für Automation und Kommunikation e.V. Magdeburg (ifak) Germany Graduate Program of Electrical Engineering (PPGEE) Universidade Federal do Rio Grande do Sul Porto Alegre Brazil

Recent advancements in microelectronics, information technology, and communication protocols have led to smaller devices with greater processing capabilities and lower energy consumption. These developments have contributed to the growing number of physical devices used in industrial environments that are interconnected and communicate through the internet, allowing for the realization of Industry 4.0 and the Industrial Internet of Things (IIoT). Numerous companies are involved in producing these devices, each using different communication protocols, data structures, and IoT platforms. This has resulted in interoperability issues that need to be addressed. To mitigate these issues, this paper proposes an interoperability middleware for IIoT gateways that adopts ontologies based on international standards (IEEE 1872-2015) and the asset administration shell (AAS) using industrial frameworks.

关键词： Interoperability Industry 4.0 IIoT Middleware Gateway Asset Administration Shell Information Integration Industrial Ontology

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Adaptive Control Applied to Half-Bridge Synchronous Buck Converter using LCL Filter for Charging Batteries

Adaptive Control Applied to Half-Bridge Synchronous Buck Con...

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Power Electronics and Control (SEPOC), Seminar on

作者： Vinícius Descovi Rodrigues João Vitor Merlo Jonas Roberto Tibola Rodrigo Varella Tambara Research and Development Center in Electrical Engineering - NUPEDEE Federal University of Santa Maria Santa Maria Brasil Graduate Program in Electrical Engineering - PPGEE Federal University of Santa Maria Santa Maria Brasil Research and Development Center in Electrical and Computational Systems - GSEC Federal University of Santa Maria Santa Maria Brasil Group of Power Electronics and Control - GEPOC Federal University of Santa Maria Santa Maria Brasil

ISBN: (数字)9798350379419

ISBN: (纸本)9798350379426

This paper proposes a discrete-time Model Reference Adaptive Controller (MRAC), applied to a Half-Bridge synchronous buck converter for charging batteries. The system uses an LCL filter that interfaces the power converter and the batteries. A virtual plant method is proposed for better transitory response of the adaptive control system. The model reference utilizes a reduced order, to simplify the project of the adaptive controller. Simulation results are presented for validation of the control project.

关键词： Seminars Adaptation models Buck converters Simulation Power electronics Batteries Topology Adaptive control

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Learning-Based Fast VVC Affine Motion Estimation

Learning-Based Fast VVC Affine Motion Estimation

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Fernando Sagrilo Marta Loose Ramiro Viana Gustavo Sanchez Guilherme Corrêa Luciano Agostini Graduate Program in Electrical Engineering (PPGEE) UNIPAMPA Alegrete RS Brazil Federal Institute of Farroupilha (IFFar) Jaguari Brazil Graduate Program in Computing (PPGC) UFPel Pelotas RS Brazil Video Technology Research Group (ViTech) UFPel Pelotas RS Brazil Federal Institute of Sertão Pernambucano (IFSertaoPE) Salgueiro PE Brazil

This paper presents a fast Affine Motion Estimation (AME) of Versatile Video Coding (VVC) Standard, based on Machine Learning and using Random Forest (RF) classification method. This encoding approach develops an RF model for each block size. The models were trained with information extracted during the VVC encoding process of the current, parent, and neighboring Coding Units (CU). Each model is applied to predict whether the Affine Motion Estimation (AME) will be skipped or not for that CU size. The proposed solution achieves a reduction of 20% on average in AME encoding time, with an insignificant impact of 0.07% on BD-BR.

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Analysis of the Effect of Capacitors on the Voltage Generated by a 3-Phase Induction Generator

Analysis of the Effect of Capacitors on the Voltage Generate...

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2022 International Conference on electrical engineering and Informatics, ICELTICs 2022

作者： Syukri, Mahdi Syuhada, Ahmad Tarmizi Suriadi Ramadhani, Satika Marwan Affan, Muzailin Yanis, Muhammad Universitas Syiah Kuala Doctoral Program School of Engineering Post Graduate Program Banda Aceh23111 Indonesia Universitas Syiah Kuala Dept. of Mechanical and Industrial Engineering Banda Aceh Indonesia Universitas Syiah Kuala Dept. of Electrical and Computer Engineering Banda Aceh Indonesia Universitas Syiah Kuala Dept. of Geophisic Engineering Banda Aceh Indonesia Universitas Syiah Kuala Dept. of Informatics Fmipa Banda Aceh Indonesia

ISBN: (数字)9781665487665

ISBN: (纸本)9781665487665

Induction motors can be operated as induction generators when additional capacitors are added to the stator terminals. Capacitors connected to induction generators can generate voltage and can provide reactive power. The advantage of induction generators can be used in small-scale plants such as micro-hydro power plants. However, the weakness of induction generators are weak voltage regulation and dependence on capacitors to generate voltage. This study conducted a test to see how the effect of capacitor capacity on the voltage generated by a induction generator when serving multiple incandescent lamp loads. The capacitor used is connected with a wye connection because the Wye connection can generate a higher voltage than the Delta connection circuit. This research has been successfully carried out with variations in capacitor values, namely 45 F, 60 F, and 75 F and variations in lamp load values, namely 5W, 15W, 25W, 40W and 60W. Based on the results of the study, the induction generators uses a 45 F capacitor with a load of 5 W, the terminal voltage for line to line is 374 V. However, when using a 75 F capacitor with a 60W load, the terminal voltage for line to line is 239 V. The terminals voltage of the induction generators can also be kept at a constant 380 V by providing varying capacitor values even though it serves varying loads. © 2022 IEEE.

关键词： Asynchronous generators

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Unidirectional Five-Level Rectifiers for WECS Applications

Unidirectional Five-Level Rectifiers for WECS Applications

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IEEE Energy Conversion Congress and Exposition, ECCE

作者： Amanda P. Monteiro Cursino B. Jacobina Bahia Filipe A. C. Sousa Reuben P. R. Post-Graduate Program in Electrical Engineering - PPgEE/COPELE Federal University of Campina Grande (UFCG) Campina Grande Paraíba Brazil Federal University of Bahia (UFBA) Salvador Brazil

This paper proposes two three-phase five-level power conversion systems. They can be employed in a wind energy converter system (WECS) application as the machine side rectifier, connected to the permanent magnet synchronous machine (PMSM) by an open-end winding (OEW) arrangement. Compared to the conventional topology, proposed ones lack the use of six clamping diodes in their structures. Even though, they also achieve the same power quality as the conventional one. Besides, proposed configurations may have fewer semiconductor devices in the current path, providing slightly lower power losses. Furthermore, the control system used ensures the synchronization between voltage and current, providing a high power factor operation. The converter equations, pulse-width modulation technique, and control strategy are detailed. Simulation and experimental results are provided in order to confirm their performance and feasibility.

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