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Monte Carlo-based Strategy for Assessing the Impact of EEG Data Uncertainty on Confidence in Convolutional Neural Network Classification

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IEEE Access 2025年 13卷 85342-85362页

作者： Nzakuna, Pierre Sedi Gallo, Vincenzo Paciello, Vincenzo Lay-Ekuakille, Aime Lusala, Angelo Kuti University of Salerno Dpt. of Industrial Engineering Fisciano84084 Italy University of Salento Dpt. of Engineering for Innovation Lecce73100 Italy ISPT-Kin Dpt. of Electronics Kinshasa Congo University of Kinshasa Dpt. of Electrical and Computer Engineering Polytechnic Faculty Kinshasa Congo

Electroencephalography (EEG) data acquisition process in Brain-computer Interfaces (BCIs) is inevitably affected by uncertainty which introduces variability in the data. This variability, often over-looked, affects the training and testing of neural network (NN) models. This study evaluates the impact of systematic bias (±2%) plus aleatoric uncertainty (2–5% random Gaussian perturbations) on the classification confidence of the EEGNet model for four class-Motor Imagery (MI) tasks using the BCI Competition IV 2a dataset. Through two Monte Carlo simulations with 100 iterations each, perturbed datasets were generated to mimic real-world EEG acquisition uncertainties. Softmax outputs served to analyze overlap in predicted probabilities and quantify model confidence in classification decisions. We introduce robust evaluation metrics, including the proportion of area under the curve (AUC) of probability density functions (PDFs) ≥ 70% accuracy, overlap coefficients, and percentile-based thresholding, which provide a more comprehensive assessment of model performance, capturing not only accuracy but also confidence and ambiguity in predictions. Results show that the robustness of EEGNet in the face of realistic measurement uncertainties is prone to inter-subject variability, with the model achieving higher confidence for Subject 1 (average 90.52%) compared to Subject 2 (62.96%). EEGNet demonstrates resilience to directional calibration shifts in the data, with model confidence varying by 0.22% for Subject 1 and by 6.24% for Subject 2, showing that aleatoric precision errors dominate over small systematic shifts. Our approach provides a rigorous framework for quantifying the impact of measurement variability on EEG-based BCI classification, thereby enhancing reliability and generalizability in practical BCI deployments. © 2013 IEEE.

关键词： Convolutional neural networks

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Definition System of Human Body Position in Virtual Reality 16

Definition System of Human Body Position in Virtual Reality

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16th IEEE International Conference on Advanced Trends in Radioelectronics, Telecommunications and computer engineering, TCSET 2022

作者： Diachok, Roman Klym, Halyna Vasylchyshyn, Ivanna Karbovnyk, Ivan Lviv Polytechnic National University Specialized Computer Systems Dpt. Lviv Ukraine Lviv Polytechnic National University Theoretical and General Electrical Engineering Dpt. Lviv Ukraine Ivan Franko National University of Lviv Electronics and Computer Technologies Dpt. Lviv Ukraine

ISBN: (纸本)9781665468619

System for determining the position of the human body in the virtual world has been designed, implemented and researched. The system consists of two independent subsystems: subsystem for collecting, processing and transmitting data on the position of the human body and subsystem for visualizing collected data to the virtual world. In general, the system measures the position of the human body, processes the data, generates the set of commands for the virtual world and sends these commands to the virtual reality helmet for processing. Schemes of the system and algorithm of system's functioning are offered. The system using quaternions and Euler angles was investigated. Also was shown that the system works more efficiently when using quaternions. © 2022 IEEE.

关键词： Virtual reality

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Physical & Chemical Water-sorption Processes in the MgAl2O4Ceramics 12

Physical & Chemical Water-sorption Processes in the MgAl2O4C...

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12th IEEE International Conference "Nanomaterials: Applications and Properties", NAP 2022

作者： Klym, Halyna Karbovnyk, Ivan Vasylchyshyn, Ivanna Lviv Polytechnic National University Specialized Computer Systems Dpt. Lviv Ukraine Ivan Franko Nationak University Of Lviv Electronics And Computer Technology Dpt. Lviv Ukraine Lviv Polytechnic National University Theoretical And General Electrical Engineering Dpt. Lviv Ukraine

ISBN: (数字)9781665489829

ISBN: (纸本)9781665489829

Structural properties and physical and chemical water-sorption processes were investigated in the humidity-sensitive MgAl2O4 ceramics sintered at 1300 °C for 2 h under the influence of water. It is shown that ceramics has developed the structure of grains, grain boundaries and pores with trimodal pore size distribution. It is established that absorbed water in ceramics result in more intensive trapping of positrons in extended defects near grain boundaries. Furthermore, the presence of water in the inner structure of ceramics leads to specific fragmentation of free volume in the nanopores and ortho-positronium decaying in the water. © 2022 IEEE.

关键词： Nanopores

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DPPL Hallway Tracker: Hospital Contact Tracing During the COVID-19 Pandemic 9

DPPL Hallway Tracker: Hospital Contact Tracing During the CO...

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9th Scholar's Yearly Symposium of Technology, engineering and Mathematics, SYSTEM 2023

作者： Marinoni, Christian Ponzi, Valerio Comminiello, Danilo Dpt. of Information Engineering Electronics and Telecommunications Sapienza University of Rome Via Eudossiana 18 Roma00184 Italy Department of Computer Control and Management Engineering Sapienza University of Rome Via Ariosto 25 Roma00185 Italy Institute for Systems Analysis and Computer Science Italian National Research Council Via dei Taurini 19 Roma00185 Italy

During the COVID-19 pandemic, the use of a people tracking system could have been crucial, particularly in sensitive environments, such as hospitals. DPPL Hallway Tracker is a framework that uses security camera footage to determine which rooms in a corridor a person has entered. It generates a database containing all the people identified and allows quick identification of potential cases of infection based on the time spent in a room and its maximum capacity. DPPL Hallway Tracker is structured in two phases: detection and re-identification. In the first phase, it exploits Mask RCNN to identify people and room doors. In the second one, it uses the deep association metric model from DeepSORT to re-identify a person as he leaves a room. © 2023 Copyright for this paper by its authors.

关键词： COVID-19

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Use of QUIC Protocol for Efficient Data Transmission Over Satellite in Emergency Scenario

Use of QUIC Protocol for Efficient Data Transmission Over Sa...

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International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)

作者： Armir Bujari Mirko Franco Claudio E. Palazzi Mattia Quadrini Cesare Roseti Francesco Zampognaro Department of Computer Science and Engineering University of Bologna Bologna Italy Department of Mathematics University of Padua Padua Italy Research and Development RomARS S.r.l. Rome Italy Electronics Engineering Dpt. University of Rome “Tor Vergata” Rome Italy

During emergency situations, reliable and fast communication is crucial for an effective response and coordination of recovery and rescue operations. However, regular communication means may not be always available nor reliable. In this scenario, constellations of Low Earth Orbit satellites can offer high bandwidth capabilities with (relatively) low latency, making them ideal for supporting disaster management teams on the ground and complementing (or replacing) terrestrial telecommunication infrastructures. In this context, the use of the recently defined QUIC protocol can provide the possibility to seamlessly switch from ground communication to satellite ones when needed. In this paper, we discuss the case study of satellite communication in an emergency scenario, assessing via a simulation study the benefits achievable by QUIC under varying queuing parameters and congestion control algorithm behavior.

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Symbolic Meta-Modeling of RIS-Assisted FSO Communication Channels

TechRxiv

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TechRxiv 2023年

作者： Ndjiongue, Alain Richard Ngatched, Telex M.N. Dobre, Octavia A. Haas, Harald Shin, Hyundong The Faculty of Engineering and Applied Science Memorial University of Newfoundland Canada The Department of Electrical and Computer Engineering McMaster University Canada The LiFi Research and Development Center Dpt. Electronic and Electrical Engineering The University of Strathclyde Glasgow United Kingdom The School of Electronics and Information Kyung Hee University 1 Seocheon Kihung Kyungki Yongin446-701 Korea Republic of

Due to their advantages and role in the beyond fifth-generation mobile network, free-space optical (FSO) communication systems continue to gain attention. The line-of-sight (LoS) link in FSO communications is fundamental as it delivers all the power detected by the user. Therefore, its obstruction is detrimental to the transmission system. In the event of an obstruction, the LoS requirements can be met by introducing the reconfigurable intelligent surface (RIS) technology. However, with the implementation of an RIS infrastructure, FSO channels are divided into two sub-channels, creating an inherent diversity end-to-end (e2e) channel model. In this paper, leveraging on the Meijer G-functions, which are symbolic representations of mathematical functions, we derive symbolic models for e2e RIS-assisted FSO systems that are built on the probability density functions (PDFs) of the fading model characterizing the sub-channels. We study some of the most popular models, derive closed-form expressions of PDFs, cumulative distributions, and moment-generating functions that are further exploited to analyze systems’ performance. By comparing scenarios in which the sub-channels are similar and different, we provide a clear understanding of how the overall RIS-assisted FSO channel behaves, along with comparative results based on commonly used models. © 2023, CC BY.

关键词： Probability density function

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A comprehensive evaluation of cache utilization characteristics in large scale WSN considering network driven cache replacement techniques 5

A comprehensive evaluation of cache utilization characterist...

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5th International Conference of engineering Against Failure, ICEAF-V 2018

作者： Panagiotou, Christos Antonopoulos, Christos Koubias, Stavros Applied Electronics Laboratory Electrical and Computer Engineering Dpt. University of Patras Greece

WSNs as adopted in current smart city deployments, must address demanding traffic factors and resilience in failures. Furthermore, caching of data in WSN can significantly benefit resource conservation and network performance. However, data sources generate data volumes that could not fit in the restricted data cache resources of the caching nodes. This unavoidably leads to data items been evicted and replaced. This paper aims to experimentally evaluate the prominent caching techniques in large scale networks that resemble the Smart city paradigm regarding network performance with respect to critical application and network parameters. Through respective result analysis valuable insights are provided concerning the behaviour of caching in typical large scale WSN scenarios. © The Authors, published by EDP Sciences, 2018.

关键词： Smart city

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IxaMed at CLEF eHealth 2018 task 1: ICD10 coding with a sequence-to-sequence approach 19

IxaMed at CLEF eHealth 2018 task 1: ICD10 coding with a sequ...

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19th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2018

作者： Atutxa, A. Casillas, A. Ezeiza, N. Fresno, V. Goenaga, I. Gojenola, K. Martínez, R. Oronoz, M. Perez-De-Viñaspre, O. Dpt. Languages and Computer Systems School of Engineering UPV EHU Bilbao Spain Dpt. Electricity and Electronics Fac. of Science and Technology UPV EHU Leioa Spain Dpt. Languages and Computer Systems Faculty of Informatics UPV EHU Donostia-San Sebastian United States Dpt. Languages and Computer Systems School of Computer Engineering UNED Madrid Spain

Hospital systems routinely assign disease codes (ICD10 codes) to medical records. The challenge stands on treating natural and nonstandard language in which doctors express their diagnoses and, additionally, to solve a large-scale classification problem, as there are thousands of possible codes. In this working notes paper, we present our system and the results of the CLEF 2018 eHealth Evaluation Task 1 on Multilingual Information Extraction-ICD10 coding. This benchmark addresses information extraction in written text with focus on several languages, specifically Hungarian, Italian and French. The goal is to automatically assign ICD10 codes to diagnostic terms of death certificates. The problem can be cast in different ways, for example as a multilabel classification task or as sequence-to-sequence prediction. Our proposal follows this last approach, with promising results, well above the average results for the task. It only relies on the material provided by the task organizers, allowing the application of the same system to all datasets.

关键词： Machine learning

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Interoperability for embedded systems in JFML software: An Arduino-based implementation

Interoperability for embedded systems in JFML software: An A...

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2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018

作者： Arcos, Francisco Jesús Soto-Hidalgo, José Manuel Vitiello, Autilia Acampora, Giovanni Alcalá-Fdez, Jesús Dpt. of Computer Science and A.I. University of Granada Granada18071 Spain Dpt. of Electronics and Computer Engineering University of Córdoba Córdoba Spain Department of Computer Science University of Salerno Salerno Italy Dpt. of Physics Ettore Pancini University of Naples Federico II Naples Italy

ISBN: (纸本)9781509060207

Fuzzy Logic Systems have been successfully used in a wide range of real-world problems. They can include a priori expert knowledge and represent systems for which it is not possible to obtain a mathematical model. The standard IEEE Std 1855TM-2016 was established to provide the fuzzy community with a unique and well-defined tool allowing a fuzzy logic system design completely independent from the specific hardware/software. Recently, the library Java Fuzzy Markup Language (JFML) offers a complete implementation of the standard, however, the actual version of the JFML does not support the development of fuzzy inference systems on specific types of hardware. The aim of this paper is to develop an interoperability module to design and running FLS for embedded systems in JFML, concretely for Arduino boards. In addition, a communication protocol between JFML and Arduino boards is also defined, removing the limited computing capacity usually offered by embedded systems. A case study with a wall-following fuzzy controller to manage a mobile robotic in two environments is developed in order to illustrate the potential of the new interoperability module. © 2018 IEEE.

关键词： Open source software

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Analysis of Crystallization Processes on the Surface of Ge-Ga-Se Glasses for electronics and IR Photonics

Analysis of Crystallization Processes on the Surface of Ge-G...

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IEEE International Conference on electronics and Nanotechnology (ELNANO)

作者： Halyna Klym Ivan Karbovnyk Yuriy Kostiv Ivanna Vasylchyshyn Specialized Computer System Dpt. Lviv Polytechnic National University Lviv Ukraine Electronics and Computer Technologies Dpt. Ivan Franko National University of Lviv Lviv Ukraine Information Technology Security Dpt. Lviv Polytechnic National University Lviv Ukraine Theoretically and General Electrical Engineering Dpt. Lviv Polytechnic National University Lviv Ukraine

ISBN: (纸本)9781538663844

Surface crystallization processes in the 80GeSe 2 -20Ga 2 Se 3 chalcogenide glasses annealed at 380 °C for 25 h and 80 h were studied using atomic force microscopy method. It is shown that crystallites of GeSe 2 phase are formed in the crystallized glasses on the surface. Optimal conditions of crystallization process were selected for preparation of glasses for IR photonics and sensor electronics.

关键词： Glass Annealing Surface morphology Crystallization Surface treatment Chalcogenides Histograms

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