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9th International Conference on Sport Sciences Research and Technology Support, icSPORTS 2021

作者： Langevin, Antoine Begin, William Lavalliere, Martin Beaulieu, Louis-David Menelas, Bob-Antoine J. Gaboury, Sebastien Bouchard, Kevin Gagnon, Ghyslain Paquette, Linda Department of Electrical Engineering Ecole de Technologie Superieure Montreal Canada Department of Health Sciences Universite du Quebec Chicoutimi Canada Department of Computer Sciences and Mathematics Universite du Quebec Chicoutimi Canada

ISBN: (纸本)9789897585395

Wearable sensors are very popular in monitoring sport performances and increasingly used in scientific research. However, several scientific and ethical issues regarding pricing, raw data accessibility, validity and commercial access to user's data are linked with these devices. To address these limitations, an open-source device, called Emotibit, was designed through crowdfunding. The aim of this study is to evaluate the criterion validity of this new open-source device's physiological components in resting position. To this end, heart rate (HR) and heart rate variability (HRV) via photoplethysmography (PPG) and electrodermal activity (EDA) were assessed and compared with a medical grade reference device, the FlexComp Infiniti. The Bland-Altman plot and ratio (BAr) results indicate a good validity for HR estimation with a BAr of 0.02. However, results suggest an insufficient validity for HRV, as well as EDA amplitude and number of activation events estimation. These results are comparable to other studies using PPG for HRV estimation, but the EDA components need adjustment in regard to the sensitivity of the device. We analyze the validity issues associated with open source technology, and conclude that further improvements are required to qualify its accuracy with statistical significance. This study also contributes to the wearable sensors studies by identifying and describing the many challenges associated with the democratization of access to biosensing technology. Copyright © 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

关键词： Wearable sensors

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Port-Hamiltonian Modeling and Control of Electric Vehicle Charging Stations

arXiv

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arXiv 2024年

作者： Gernandt, Hannes Severino, Bernardo Zhang, Xinyi Mehrmann, Volker Strunz, Kai The Department of Mathematics Bergische Universität Wuppertal Wuppertal42119 Germany The Fraunhofer Research Insitution for Energy Infrastructures and Geothermal Systems IEG Cottbus03046 Germany The Department of Mathematics Technische Universität Berlin Berlin10623 Germany The SENSE Laboratory Department of Electrical Engineering and Computer Sciences Technische Universität Berlin Berlin10587 Germany

Electric vehicles (EV) are an important part of future sustainable transportation. The increasing integration of EV charging stations (EVCSs) in the existing power grids require new scaleable control algorithms that maintain the stability and resilience of the grid. Here, we present such a control approach using an averaged port-Hamiltonian model. In this approach, the underlying switching behavior of the power converters is approximated by an averaged non-linear system. The averaged models are used to derive various types of stabilizing controllers, including the typically used PI controllers. The pH modeling is showcased by means of a generic setup of an EVCS, where the battery of the vehicle is connected to an AC grid via power lines, converters, and filters. Finally, the control design methods are compared for the averaged pH system and validated using a simulation model of the switched charging station. © 2024, CC BY.

关键词： Electric vehicles

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Evaluation the Optimal Appraisal of the Employee in Uncertainty Situation Using the Fuzzy Linear Programing Problems

SSRN

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SSRN 2024年

作者： Slathia, Shivali Kumar, Rakesh Aledaily, Arwa N. Dhiman, Gaurav Kaur, Amandeep Singh, Dalwinder Department of Mathematics Lovely Professional University Punjab Phagwara144411 India Department of Computer Science and Technology Lovely Professional University Punjab Phagwara144411 India College of Computer Science and Engineering University of Ha’il Hail Saudi Arabia Department of Computer Science Government Bikram College of Commerce Patiala147001 India University Centre for Research and Development Department of Computer Science and Engineering Chandigarh University Mohali Gharuan140413 India Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun248002 India Division of Research and Development Lovely Professional University Phagwara144402 India Chitkara University Institute of Engineering and Technology Chitkara University Punjab 140601 India Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon

This paper aims to provide a methodology for ascertaining the most suitable employee appraisal in ambiguous circumstances by employing fuzzy linear programming. In order to find the optimum solution, the suggested methodology transforms many criteria, such as job performance, communication skills, flexibility, and leadership abilities, into a fuzzy linear programming problem. The approach is made to deal with the ambiguity and imprecision that come with employee appraisal, making it a more effective and dependable tool for making decisions. The proposed technique is tested using a case study, which shows how well it handles ambiguity and offers the best options for employee evaluation. The findings demonstrate that the fuzzy linear programming approach offers more accurate and trustworthy evaluations, particularly in ambiguous circumstances, and might be a useful tool for businesses looking to improve their staff rating procedure. © 2024, The Authors. All rights reserved.

关键词： Decision making

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The Composite Approach for Linear Fractional Programming Problem in Fuzzy Environment

SSRN

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SSRN 2024年

作者： Dhiman, Gaurav Yasmeen, Safia Kaur, Amandeep Kaur Singh, Dalwinder Devi, Ritika Kaur, Ravinder Kumar, Rakesh Department of Mathematics Lovely Professional University Punjab Phagwara144411 India College of Computer Science and Engineering University of Ha’il Kingdom of Ha’il Saudi Arabia Department of Computer Science Government Bikram College of Commerce Patiala147001 India University Centre for Research and Development Department of Computer Science and Engineering Chandigarh University Mohali Gharuan140413 India Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun248002 India Division of Research and Development Lovely Professional University Phagwara144402 India Chitkara University Institute of Engineering and Technology Chitkara University Punjab 140601 India Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon Department of Computer Science and Technology Lovely Professional University Punjab Phagwara144411 India

This paper proposes a composite strategy for solving linear fractional programming problems in an imprecise environment. To manage the uncertainties and imprecisions associated with real-world decision-making situations, the strategy efficiently combines the benefits of both fuzzy programming and linear fractional programming techniques. The suggested method uses a fuzzy programming methodology to fuzzify the right-hand value of the constraints, then uses a linear fractional programming strategy to obtain the best outcome. Defuzzification is utilized for converting the fuzzy dilemma into a precise problem, which is then solved using linear programming strategies. The effectiveness of the suggested strategy in resolving complicated decision-making issues in fuzzy environments is shown through a case study. The results indicate that the composite approach can provide a robust and efficient solution to a variety of real-world problems with decision-making. © 2024, The Authors. All rights reserved.

关键词： Decision making

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Causality-based Subject and Task Fingerprints using fMRI Time-series Data

arXiv

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arXiv 2024年

作者： Song, Dachuan Shen, Li Duong-Tran, Duy Wang, Xuan Department of Electrical and Computer Engineering George Mason University FairfaxVA United States Department of Biostatistics Epidemiology and Informatics Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Mathematics United States Naval Academy AnnapolisMD United States

Recently, there has been a revived interest in system neuroscience causation models due to their unique capability to unravel complex relationships in multi-scale brain networks. In this paper, our goal is to verify the feasibility and effectiveness of using a causality-based approach for fMRI fingerprinting. Specifically, we propose an innovative method that utilizes the causal dynamics activities of the brain to identify the unique cognitive patterns of individuals (e.g., subject fingerprint) and fMRI tasks (e.g., task fingerprint). The key novelty of our approach stems from the development of a two-timescale linear state-space model to extract ‘spatio-temporal’ (aka causal) signatures from an individual’s fMRI time series data. To the best of our knowledge, we pioneer and subsequently quantify, in this paper, the concept of ‘causal fingerprint.’ Our method is well-separated from other fingerprint studies as we quantify fingerprints from a cause-and-effect perspective, which are then incorporated with a modal decomposition and projection method to perform subject identification and a GNN-based (Graph Neural Network) model to perform task identification. Finally, we show that the experimental results and comparisons with non-causality-based methods demonstrate the effectiveness of the proposed methods. We visualize the obtained causal signatures and discuss their biological relevance in light of the existing understanding of brain functionalities. Collectively, our work paves the way for further studies on causal fingerprints with potential applications in both healthy controls and neurodegenerative diseases. Copyright © 2024, The Authors. All rights reserved.

关键词： State space methods

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Machinery Fault Diagnoses in High-Voltage Circuit Breakers Using Empirical Mode Decomposition-Support Vector Machine Model

Machinery Fault Diagnoses in High-Voltage Circuit Breakers U...

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Distributed Computing and electrical Circuits and Electronics (ICDCECE), IEEE International Conference on

作者： Mohammed Al-Farouni A.V.V. Sudhakar Divya G Bala Dhandayuthapani V. Gandla Shivakanth Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Electrical and Electronics Engineering SR University Warangal India Department of ECE Nitte Meenakshi Institute of Technology Bengaluru India Department of IT College of Computing and Information Sciences University of Technology and Applied Sciences Shinas campus Shinas Oman Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Hyderabad Telangana India

ISBN: (数字)9798350318609

ISBN: (纸本)9798350318616

The circuit breakers have a flaw in their trip mechanism. Early mechanical faults like coil-plunger jam are hard to report using traditional fault diagnosis based on the coil current. However, users still have difficulty understanding and trusting the diagnosis results since the standard EMD is opaque in terms of interpretability. In this work, an Empirical Mode Decomposition with Support Vector Machine (EMP-SVM) proposed for machinery fault diagnosis. This work uses the vibration signal recovered from the trip process as an intrinsic time series of the data. At first, The Improved EMD is a data-adaptive multiresolution approach that breaks down signals into physically relevant components based on vibration and coil current signals. Lastly, utilizing the characteristics that were retrieved, the SVM is used to diagnose the defect. The implemented improved EMP-SVM model demonstrates superior performance, achieving Precision of (98.37 % ), recall of (91.03%) and F1-Score of (96.34%). When compared to previous models like Improved Dempster-Shafer Evidence Theory-Echo State Neural Network (IDSET-ESNN) and Phase Space Reconstruction with Support Vector Machine (PSR-SVM).

关键词： Support vector machines Vibrations Computational modeling Circuit breakers High-voltage techniques Vectors Circuit faults

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Invariants and Reversibility In Polynomial Systems of Ode

SSRN

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SSRN 2024年

作者： Grašič, Mateja Jarrah, Abdul Salam Romanovski, Valery G. Faculty of Natural Science and Mathematics University of Maribor Koroška Cesta 160 MariborSI-2000 Slovenia Institute of Mathematics Physics and Mechanics Jadranska 19 LjubljanaSI-1000 Slovenia Department of Mathematics and Statistics American University of Sharjah Sharjah United Arab Emirates Faculty of Electrical Engineering and Computer Science University of Maribor Koroška cesta 46 MariborSI-2000 Slovenia Center for Applied Mathematics and Theoretical Physics Mladinska 3 MariborSI-2000 Slovenia

This paper explores a relationship between invariants of certain group actions and the time-reversibility of two-dimensional polynomial differential systems exhibiting a $1:-1$ resonant singularity. We focus on the connection of time-reversibility with the Sibirsky subvariety of the center variety, which encompasses systems possessing a local analytic first integral near the origin. An algorithm for generating the Sibirsky ideal for these systems is proposed and the algebraic properties of the ideal are examined. Furthermore, using a generalization of the concept of time-reversibility we study $n$-dimensional systems with a $1:\zeta:\zeta^2:\dots:\zeta^{n-1}$ resonant singularity, where $n$ is prime and $\zeta$ is a primitive $n$-th root of unity. We study the invariants of a Lie group action on the parameter space of the system, leveraging the theory of binomial ideals as a fundamental tool for the analysis. Our study reveals intriguing connections between generalized reversibility, invariants, and binomial ideals, shedding light on their complex interrelations. © 2024, The Authors. All rights reserved.

关键词： Choquet integral

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Improved Synaptic Characteristics in Bilayer Memristor by Post-Oxide Deposition Annealing for Pattern Recognition

Improved Synaptic Characteristics in Bilayer Memristor by Po...

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2022 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2022

作者： Kumar, Dayanand Huang, Yi-Rong Pal, Pratibha Saleem, Aftab Singh, Amit Lee, Hoonkyung Wang, Yeong-Her Tseng, Tseung Yuen National Cheng-Kung University Institute of Microelectronics Department of Electrical Engineering Tainan701 Taiwan Institute of Electronics National Yang Ming Chiao Tung University Hsinchu30010 Taiwan National Cheng Kung University Department of Materials Science and Engineering Tainan70101 Taiwan National Yang Ming Chiao Tung University Department of Electrical Engineering and Computer Science 30010 Taiwan Research Center for Applied Sciences Academia Sinica Taipei11529 Taiwan Konkuk University Department of Physics Seoul05029 Korea Republic of

ISBN: (纸本)9781665409230

We present highly stable bilayer HfO2/TiO2 memristive synapse for neuromorphic computing applications. The memristive synapse shows repetitive 220 Long-term potentiation and depression cycles without any breakdown with total number of 220k pulses. The nonlinear values of potentiation and depression are 2.52 and -2.63, respectively with 1000 conductance pulses (500 pulses of potentiation and 500 pulses of depression). The experimental data of potentiation and depression was used to train HNN for pattern recognition of 28×28 pixels comprising 784 synapses. In 16 iterations, the HNN can be successfully trained to identify the input image with a training accuracy of about 97%. Moreover, the device has good retention (104 s) at 120 °C. These excellent synaptic characteristics of annealed device allows it for artificial intelligence systems in near future. © 2022 IEEE.

关键词： Hafnium oxides

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Constrained Semidefinite Optimization of Reactively Loaded Antenna Arrays: Verification and Tolerances

Constrained Semidefinite Optimization of Reactively Loaded A...

引用

2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021

作者： Nyffenegger, Michel A. Sarris, Costas D. Lang, Hans-Dieter OST - Eastern Switzerland University of Applied Sciences Rapperswil Switzerland University of Toronto Edward S. Rogers Sr. Department of Electrical Computer Engineering TorontoON Canada

ISBN: (纸本)9781728146706

An optimization framework for maximum wireless power transfer efficiency in the near-field adapted for far-field gain maximization under impedance matching constraints is applied on a dipole antenna array to verify its performance on both maximum gain and impedance matching in practice. As shown, the result is well-realizable in practice. Beyond that, the effect of manufacturing tolerances and actual loading component values is analyzed. © 2021 IEEE.

关键词： Antenna arrays

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Optimal Control of a Passive Particle Advected by a Point Vortex 1st

Optimal Control of a Passive Particle Advected by a Point Vo...

引用

1st International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2021

作者： Marques, G. Grilo, T. Gama, S. Pereira, F.L. CMUP - Department of Mathematics FCUP University of Porto Porto Portugal CFisUC - Department of Physics FCTUC University of Coimbra Coimbra Portugal SYSTEC - Department of Electrical and Computer Engineering FEUP University of Porto Porto Portugal

ISBN: (纸本)9783030902407

The objective of this work is to develop a mathematical framework for modeling, control and optimization of the movement of a passive particle advected by a point vortex. Dynamic equations are rewritten in polar coordinates, where the control acts only on the radial coordinate. The optimal control found is explicitly time dependent. This framework should provide a sound basis for the design and control of new advanced engineering systems arising in many important classes of applications, some of which encompass underwater gliders and mechanical fishes. The research effort has been focused in applying necessary conditions of optimality for some class of flow driven dynamic control systems, by using the vortex methods. The control problem of moving a passive particle between two given points driven by this class of flow in a prescribed time and minimizing the energy of the process has been solved by using the maximum principle. © 2021, Springer Nature Switzerland AG.

关键词： Maximum principle

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