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Tracking daily paths in home contexts with RSSI fingerprinting based on UWB through deep learning models

Multimedia Tools and Applications 2024年 1-25页

作者： Polo-Rodríguez, A. Valera, J.C. Peral, J. Gil, D. Medina-Quero, J. Department of Computer Engineering Automation and Robotics University of Granada Granada18071 Spain Alicante03690 Spain Department of Software and Computing Systems University of Alicante Alicante03690 Spain

The field of human activity recognition has evolved significantly, driven largely by advancements in Internet of Things (IoT) device technology, particularly in personal devices. This study investigates the use of ultra-wideband (UWB) technology for tracking inhabitant paths in home environments using deep learning models. UWB technology estimates user locations via time-of-flight and time-difference-of-arrival methods, which are significantly affected by the presence of walls and obstacles in real environments, reducing their precision. To address these challenges, we propose a fingerprinting-based approach utilizing received signal strength indicator (RSSI) data collected from inhabitants in two flats (60 m2 and 100 m2) while performing daily activities. We compare the performance of convolutional neural network (CNN), long short-term memory (LSTM), and hybrid CNN+LSTM models, as well as the use of Bluetooth technology. Additionally, we evaluate the impact of the type and duration of the temporal window (future, past, or a combination of both). Our results demonstrate a mean absolute error close to 50 cm, highlighting the superiority of the hybrid model in providing accurate location estimates, thus facilitating its application in daily human activity recognition in residential settings. © The Author(s) 2024.

关键词： Ultra-wideband (UWB)

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Parks-McClellan Algorithm-Based Active Damping Strategy Applied to Grid-Connected Inverters 8

Parks-McClellan Algorithm-Based Active Damping Strategy Appl...

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8th Southern Power Electronics Conference and the 17th Brazilian Power Electronics Conference, SPEC / COBEP 2023

作者： Filho, José De Arimatéia O. Bressanini, Gabriel Lucas Curi Busarello, Tiago Davi De Oro Arenas, Luis Silva, Paulo Fernando Morales Paredes, Helmo Kelis Sorocaba Brazil Department of Control Automation and Computing Engineering Blumenau Brazil

ISBN: (纸本)9798350321128

In recent years, grid-connected inverters have gained wide prominence, primarily attributed to the surge in distributed energy resources. To ensure the reliable operation of these inverters, it is crucial to adequately damp the resonance peak of the LCL filter at the inverter output. By achieving this, the grid-connected inverter guarantees the system's stability while minimizing the harmonic content in the current injected into the distribution grid. To address this issue, this paper proposes the utilization of digital differentiators in conjunction with optimized wideband differentiators, which are designed using the Parks-McClellan (PM) algorithm. These differentiators are applied specifically to the LCL filter capacitor voltage to dampen the resonance peak effectively. Simulation results univocally demonstrate the effectiveness of the proposed approach. © 2023 IEEE.

关键词： Active damping capacitor voltage digital differentiator LCL-filter Parks-McClellan algorithm

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Flying Start of a Synchronous Reluctance Machine Based on Opposite Active Voltage Pulses

Flying Start of a Synchronous Reluctance Machine Based on Op...

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2024 International Conference on Electrical Machines, ICEM 2024

作者： Pravica, Luka Jukic, Filip Sumina, Damir Erceg, Igor University of Zagreb Faculty of Electrical Engineering and Computing Department of Electric Machines Drives and Automation Zagreb Croatia

ISBN: (纸本)9798350370607

Synchronous reluctance machines (SynRMs) are increasingly used in various applications, such as energy conversion systems and electric drives. In addition to standard control algorithms, some of these applications also require the implementation of flying start methods that aim to estimate the rotor speed and angle before the SynRM is connected to the converter. In this way, synchronization between the SynRM and the converter is achieved, and the inrush current is reduced. This paper proposes a new method for the flying start of SynRMs based on symmetric and opposite active voltage vectors and a second-order generalized integrator (SOGI) with a frequency-locked loop (FLL). Applying such a voltage vector pattern to the terminals of a rotating SynRM induces phase current spikes whose sampled counterparts have a sinusoidal waveform. According to the derived mathematical model of the SynRM in the stationary αβ reference frame, the induced β-axis current contains no DC offset and is therefore passed to the SOGI-FLL structure to estimate the rotor angle and speed. Moreover, applying the opposite active vectors ensures a lower current distortion, guarantees the accuracy of the estimation and reduces the generated torque. The proposed method was verified by simulations in Matlab Simulink. © 2024 IEEE.

关键词： Electric drives

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Endoscopy-assisted lightweight diagnosis system based on transformers for colon polyp detection

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Optoelectronics Letters 2025年第1期21卷 57-64页

作者： FAN Weiming YU Jiahui JU Zhaojie School of Automation and Electrical Engineering Shenyang Ligong UniversityShenyang 110159China Department of Biomedical Engineering Zhejiang UniversityHangzhou 310058China School of Computing University of PortsmouthPO13HEUK

The integration of endoscopy has significantly propelled the diagnosis and treatment of gastrointestinal diseases,with colonoscopy establishing itself as the primary method for early diagnosis and preventive care in colorectal cancer(CRC).Although deep learning holds promise in mitigating missed polyp rates,modern endoscopy examinations pose additional challenges,such as image blurring and *** study explores lightweight yet powerful attention mechanisms,introducing the spatial-channel transformer(SCT),an innovative approach that leverages spatial channel relationships for attention weight *** method utilizes rotation operations for inter-dimensional dependencies,followed by residual transformation,encoding inter-channel and spatial information with minimal computational *** experiments on the CVC-Clinic DB polyp detection dataset,addressing endoscopy pitfalls,underscore the superiority of our SCT over other state-of-the-art *** proposed model maintains high performance,even in challenging scenarios.

关键词： diagnosis utilize holds

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Robust facial expression recognition via lightweight reinforcement learning for rehabilitation robotics

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Optoelectronics Letters 2025年第2期21卷 97-104页

作者： CHEN Yifan FAN Weiming GAO Hongwei YU Jiahui JU Zhaojie School of Computing University of PortsmouthPO13HEUK School of Automation and Electrical Engineering Shenyang Ligong UniversityShenyang 110159China Department of Biomedical Engineering Zhejiang UniversityHangzhou 310027China

This paper proposes a lightweight reinforcement network (LRN) and auxiliary label distribution learning (ALDL)based robust facial expression recognition (FER) *** designed representation reinforcement (RR) network mainly comprises two modules,i.e.,the RR module and the auxiliary label space construction (ALSC) *** RR module highlights key feature messaging nodes in feature maps,and ALSC allows multiple labels with different intensities to be linked to one ***,LRN has a more robust feature extraction capability when model parameters are greatly reduced,and ALDL is proposed to contribute to the training effect of LRN in the condition of ambiguous training *** tested our method on FER-Plus and RAF-DB datasets,and the experiment demonstrates the feasibility of our method in practice during rehabilitation robots.

关键词： rehabilitation lightweight auxiliary

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Enhanced Discrete-Time Differentiators for State Observers of Sensorless Permanent Magnetic Synchronous Motor Drives 8

Enhanced Discrete-Time Differentiators for State Observers o...

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8th Southern Power Electronics Conference and the 17th Brazilian Power Electronics Conference, SPEC / COBEP 2023

作者： Curi Busarello, Tiago Davi Federal University of Santa Catarina Department of Control Automation and Computing Engineering Blumenau Brazil

ISBN: (纸本)9798350321128

In sensorless motor drive applications, the rotor and the speed of the rotor are usually estimated through state observer algorithms. A key part of such algorithm is the computation of the derivative of the rotor position, resulting in the estimated rotor speed. computing derivatives brings challenges due to their inherent noise amplification characteristic. This paper presents enhanced discrete-time differentiators for state observers of sensorless permanent magnetic synchronous motor drives. A class of discrete-time differentiators based on finite impulse response filters and one based on Kalman filter are proposed. Details about how to obtain the coefficients of the differentiators are presented. To verify the performance of the proposed differentiators, all of them were executed in F28379D LaunchPad microcontroller. Results show that the proposed discrete-time differentiators compute the derivative of the rotor position signal in a satisfactory manner, even in the presence of noise. © 2023 IEEE.

关键词： Differentiators digital filters Kalman filter state observer

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VITMST++: Efficient Hyperspectral Reconstruction Through Vision Transformer-Based Spatial Compression

IEEE Open Journal of Signal Processing

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IEEE Open Journal of Signal Processing 2025年 6卷 398-404页

作者： Silveira, Ana C. Caznok do Carmo, Diedre S. Ueda, Lucas H. Fantinato, Denis G. Costa, Paula D. P. Rittner, Leticia Universidade Estadual de Campinas Department of Computer Engineering and Automation School of Electrical and Computer Engineering Campinas13083-852 Brazil Universidade Estadual de Campinas CPQD Recod.AI Institute of Computing Campinas13083-852 Brazil

Hyperspectralchannel reconstruction transforms a subsampled multispectral image into hyperspectral imaging, providing higher spectral resolution without a dedicated acquisition hardware and camera. Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction (MST++) is a state-of-the-art channel reconstruction technique, but it faces memory limitations for high spatial-resolution images. In this context, we introduced VITMST++, a novel architecture incorporating Vision Transformer embeddings for spatial compression, multi-resolution image context, and a custom channel-weighted loss. Developed for the ICASSP 2024 HyperSkin Challenge, VITMST++ outperforms the state-of-the-art MST++ in both performance and computational efficiency in channel reconstruction. In this work, we perform a deeper analysis on the main aspects of VITMST++ efficiency, quantitative performance, and generalization to other datasets. Results show that VITMST++ achieves similar values of SAM and SSIM hyperspectral reconstruction metrics when compared to state-of-the-art methods, while consuming up to three fold less memory and needing up to 10 times fewer multiply-add operations. © 2020 IEEE.

关键词： Image compression

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Revised Correction Factors in the Specht's Model for Calculation of the Transformer Inrush Current

Revised Correction Factors in the Specht's Model for Calcula...

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2024 International Conference on Electrical Machines, ICEM 2024

作者： Žarko, Damir Hanic, Zlatko University of Zagreb Faculty of Electrical Engineering and Computing Department of Electrical Machines Drives and Automation Unska 3 Zagreb10000 Croatia

ISBN: (纸本)9798350370607

In this study, correction factors are introduced for Specht's analytical model, which is used to estimate the inrush current peaks of transformers and their decay rates. The factors are derived for a set of five transformers using a least squares approach to minimize the discrepancies between the inrush current values from the Specht's model and the transient 2D finite element (FE) simulations. The 2D FE model uses an equivalent permeability of air and copper to mimic the flux linkage vs. current characteristics of the 3D FE model and effectively accounts for the effects of air core inductance at extreme saturation. The study considers the winding connections YNyn and YNd under the assumption that the connection to the grid is made on both the high voltage and the low voltage side. © 2024 IEEE.

关键词： Distribution transformers

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Experimental Investigation of a High-Fidelity Transient Model for an Interior Permanent Magnet Machine with Arbitrary Stator Turn Fault 14

Experimental Investigation of a High-Fidelity Transient Mode...

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14th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2023

作者： Stipetic, Stjepan Kovacic, Marinko Zarko, Damir University of Zagreb Faculty of Electrical Engineering and Computing Department of Electrical Machines Drives and Automation Zagreb Croatia

ISBN: (纸本)9798350320770

An accurate transient model of the machine operating under fault conditions is essential to save time and resources for experimental testing when developing fault-tolerant control strategies. This paper describes the LUT based simulation and experimental verification of the high-fidelity interior permanent magnet machine model with stator turn fault available in the literature. The approach involves the extraction of flux linkage maps of the machine under turn fault conditions using offline static finite element (FE) analysis,and combining it with voltage equations of the machine. The method is not limited to IPM machines and can be used to model stator turn faults in other machines such as surface PM machines, synchronous reluctance machines, switched reluctance machines, wound field synchronous machines, etc. The proposed approach provides a complete representation of the spatial harmonics and magnetic saturation in the presence of inter-turn faults and under all load conditions, making it the most accurate representation of the faulty motor behaviour apart from a time stepping FE coupled analysis. © 2023 IEEE.

关键词： Flux linkage

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Secure Channel Estimation Using Norm Estimation Model for 5G Next Generation Wireless Networks

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Computers, Materials & Continua 2025年第1期82卷 1151-1169页

作者： Khalil Ullah Song Jian Muhammad Naeem Ul Hassan Suliman Khan Mohammad Babar Arshad Ahmad Shafiq Ahmad Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming650500China Department of Computer Science Abbottabad University of Science and TechnologyHavelianAbbottabad22500Pakistan Department of Computing and Electronics Engineering Middle East CollegeMuscat124Oman Department of CS&IT Pak-Austria Fachhochschule Institute of Applied Sciences and Technology MangHaripur22621Pakistan Industrial Engineering Department College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia

The emergence of next generation networks(NextG),including 5G and beyond,is reshaping the technological landscape of cellular and mobile *** networks are sufficiently scaled to interconnect billions of users and *** in academia and industry are focusing on technological advancements to achieve highspeed transmission,cell planning,and latency reduction to facilitate emerging applications such as virtual reality,the metaverse,smart cities,smart health,and autonomous *** continuously improves its network functionality to support these *** input multiple output(MIMO)technology offers spectral efficiency,dependability,and overall performance in *** article proposes a secure channel estimation technique in MIMO topology using a norm-estimation model to provide comprehensive insights into protecting NextG network components against adversarial *** technique aims to create long-lasting and secure NextG networks using this extended *** viability of MIMO applications and modern AI-driven methodologies to combat cybersecurity threats are explored in this ***,the proposed model demonstrates high performance in terms of reliability and accuracy,with a 20%reduction in the MalOut-RealOut-Diff metric compared to existing state-of-the-art techniques.

关键词： Next generation networks massive mimo communication network artificial intelligence 5G adversarial attacks channel estimation information security

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