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63rd IEEE Conference on Decision and control, CDC 2024

作者： Zhang, Jiaojiao Zhu, Linglingzhi Johansson, Mikael Kth Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science StockholmSE-100 44 Sweden Chinese University of Hong Kong Department of Systems Engineering and Engineering Management Hong Kong

ISBN: (纸本)9798350316339

We introduce a novel differentially private algorithm for online federated learning that employs temporally correlated noise to enhance utility while ensuring privacy of continuously released models. To address challenges posed by DP noise and local updates with streaming non-iid data, we develop a perturbed iterate analysis to control the impact of the DP noise on the utility. Moreover, we demonstrate how the drift errors from local updates can be effectively managed under a quasi-strong convexity condition. Subject to an (, δ) DP budget, we establish a dynamic regret bound over the entire time horizon, quantifying the impact of key parameters and the intensity of changes in dynamic environments. Numerical experiments confirm the efficacy of the proposed algorithm. © 2024 IEEE.

关键词： Federated learning

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Computationally Efficient Kalman Filter Framework for Intra-Frame Image Reconstruction with a Rolling Shutter Camera

Computationally Efficient Kalman Filter Framework for Intra-...

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IEEE International Conference on Image Processing

作者： Sabeethan Kanagasingham Andrew R. Mills Visakan Kadirkamanathan Department of Automatic Control and Systems Engineering The University of Sheffield Sheffield United Kingdom

ISBN: (数字)9798350349399

ISBN: (纸本)9798350349405

This paper addresses the problem of reconstructing image sequences from a rolling shutter camera-based thermal image acquisition system that integrates the image field over an exposure time. It proposes a novel approach to extend the distributed Kalman filtering framework for intra-frame reconstruction. This accounts for the exposure effect through a state-augmentation model, while respecting the row-byrow image acquisition process. Additionally, two alternative rolling shutter scan strategies: interlaced-x and random, are explored to mitigate delays in observing abrupt changes inherent in sequential rolling shutter scans. Simulation results demonstrate that the proposed approach effectively accommodates exposure and achieves reliable intra-frame reconstruction quality. The interlaced-x scan strategy, with x equal to the size of the image partition block, emerges as the preferred choice, highlighting improved performance in recovering from sudden events. The augmented distributed Kalman filter offers a scalable solution to enhance temporal resolution and overall reliability of thermal imaging of dynamic thermal processes.

关键词： Image resolution Simulation Thermal variables measurement Three-dimensional printing Size measurement Time measurement Steady-state

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A Review of Manufacturing Technologies of Soft Magnetic Composites for Electric Machines 5

A Review of Manufacturing Technologies of Soft Magnetic Comp...

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5th IEEE International Conference on Modern Electrical and Energy System, MEES 2023

作者： Manko, Roman Dmytro, Rieznik Vukotic, Mario Rupnik, Urban Miljavec, Damijan Corovic, Selma University of Ljubljana Faculty of Electrical Engineering Ljubljana Slovenia Kremenchuk Mykhailo Ostrohradskyi National University Department of Systems of Automatic Control and Electric Drive Kremenchuk Ukraine

ISBN: (纸本)9798350359787

In this article the review of the existing manufacturing technologies of the soft magnetic materials have been performed. The existing technological protocols for production of the electrically insulated powders and their further treatment towards manufacturing of the soft magnetic materials are provided. The influences of different technological processes on the mechanical, electrical and magnetic properties of the resulting soft magnetic materials have been reviewed and described. Finally, the usage and implementation of the soft magnetic composites in the field of electric motor design have been discussed. © 2023 IEEE.

关键词： Electric motors

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System Optimal Routing and Distribution of Benefits on National Road Networks

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Transportation Research Procedia 2025年 82卷 2532-2545页

作者： Alexander Roocroft Giuliano Punzo Muhamad Azfar Ramli Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom Institute of High Performance Computing A*STAR Singapore

Rerouting drivers from selfish route choices to system-optimal traffic patterns has the potential to improve the performance of existing infrastructure. Previous research has looked into assessing the potential of rerouting through the empirical price of anarchy, a measure of network efficiency. However, studies using real-world measurements have been limited by methodological accuracy and network size. Also, they have lacked understanding of the spatial distribution of benefits from rerouting and the relationship with marginal external cost road charges that can be used for implementation. In this article, we create an accurate data-driven traffic assignment model of England's Strategic Road Network. We use it to calculate the national price of anarchy, which is found to be almost 1 implying gains from rerouting at the national scale are minimal and smaller than in other studies. The results show the distribution of rerouting benefits varies strongly with different network zones and demand profiles. This did not match the distribution of marginal external cost charges. Some zones have noticeable benefits from rerouting although the overall network benefit is small, however, these zones do not coincide with where the largest road charges have to be applied for system-optimal rerouting. These results have implications for rerouting implementation.

关键词： Strategic Road Network Empirical Price of Anarchy National Traffic Assignment

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Improving Workplace Safety in the Cargo Industry through Posture Monitoring using Mediapipe and Machine Learning 17

Improving Workplace Safety in the Cargo Industry through Pos...

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17th International Conference on INnovations in Intelligent systems and Applications, INISTA 2023

作者： Cobb, Buket Sonbas Candan, Fethi Harran University Department of Electrical-Electronics Engineering Sanliurfa63190 Turkey University of Sheffield Department of Automatic Control and Systems Engineering SheffieldS1 3JD United Kingdom

ISBN: (纸本)9798350338904

This research reveals the potential of Mediapipe with machine learning methods in addressing the critical need for real-time posture monitoring, offering a promising solution for creating secure work environments and improving health and safety conditions not only in the cargo industry but also in other fields, such as healthcare, sports, and industry. The findings indicate that the Random Forest Classifier demonstrates the highest accuracy in classifying untrained movements, indicating its potential for developing a posture correction warning system. Further research is needed to validate the findings and explore real-world applications. Overall, this study contributes to the advancement of workplace safety and sets the foundation for future developments in posture monitoring systems using Mediapipe and machine learning using Python programming. © 2023 IEEE.

关键词： Python

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A Lightweight Target Following Architecture for Indoor Mobile Robot

A Lightweight Target Following Architecture for Indoor Mobil...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Fuli Wang Windo Hutabarat Ashutosh Tiwari Department of Automatic Control and Systems Engineering The University of Sheffield Sheffield United Kingdom

ISBN: (数字)9798350340266

ISBN: (纸本)9798350340273

Manufacturing efficiency and transport operations are being significantly improved by mobile robots. As the implementation of a configurable, lightweight, and stateof-the-art robotic system is required for current manufacturing sectors to maximize the use of mobile robots, this paper presents a software architecture comprised of perception and action systems for human following in real time. The perception system uses the YOLOv8 computer vision model to identify and estimate human pose. Additionally, an algorithm is developed using the 3D information from a stereo camera to determine which target and whether to follow. Once the perception system perceives the desired target information, the action system can control and coordinate the robot using the ROS. Experimental results from the physical robot demonstrate the feasibility of the system architecture.

关键词： computer vision Three-dimensional displays Service robots Software architecture Robot kinematics Computational modeling systems architecture

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Learning Input Driven Dynamic Bayesian Networks with Measurement Noise

Learning Input Driven Dynamic Bayesian Networks with Measure...

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International Conference on Machine Learning and Applications (ICMLA)

作者： David Veres Ping Li Visakan Kadirkamanathan Department of Automatic Control and Systems Engineering The University of Sheffield Sheffield United Kingdom

ISBN: (数字)9798350374889

ISBN: (纸本)9798350374896

Dynamic Bayesian Networks (DBNs) are useful tools for modelling complex systems whose network representations can be elicited a priori or learnt from data. In this paper, a maximum likelihood Doubly-Iterative Expectation Maximization (DI-EM) Algorithm is developed for the identification of grey-box ARMAX state-space model representations of DBNs involving known, noisy measurement processes. The grey-box model incorporates network dependencies among time series variables and exploits time series data of low longitudinal and high cross-sectional dimensions. A network learning procedure is developed using a score-based structure-selection method to find the underlying network of an input-driven dynamical system. By computing a finite data version of the Bayesian Information Criterion (BIC) for small sample sizes, the proposed method's performance is investigated on simulated and real-world data. The algorithm recovers the underlying ground-truth networks of simulated systems under finite data criteria with Jaccard Coefficient values of up to 0.84, and selects structures with improved weighted mean-squared error loss over a baseline black-box model fit on real-world data.

关键词： Heuristic algorithms Computational modeling Time series analysis Noise Machine learning Data models Bayes methods State-space methods Noise measurement Dynamical systems

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Comparison of Photovoltaic System Performance under Different Conditions 5

Comparison of Photovoltaic System Performance under Differen...

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5th IEEE International Conference on Modern Electrical and Energy System, MEES 2023

作者： Pavlik, Marek Kalinov, Andrii Technical University of Koice Department of Electric Power Engineering Koice Slovakia Kremenchuk Mykhailo Ostrohradskyi National University Department of Systems of Automatic Control and Electric Drive Kremenchuk Ukraine

ISBN: (纸本)9798350359787

With increasing energy prices, greater attention is being directed towards alternative energy sources. Common households are increasingly adopting photovoltaic systems to reduce their electricity costs. However, many households are unaware that various situations can impact the production of solar energy. In this contribution, a research study was conducted where a small portion of the photovoltaic panel was shaded. The results demonstrate how even minor shading can affect the production of electrical energy from the photovoltaic panel. Additionally, it is important to realize that many photovoltaic systems consist of photovoltaic panels connected in series. This contribution highlights how a single damaged or shaded photovoltaic panel can influence the production of other photovoltaic panels in the series. © 2023 IEEE.

关键词： Photoelectrochemical cells

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Enhancing 3D Human Skeleton Key-point Detection through Weakly Supervised Learning and Multi-level Attention Mechanisms

Enhancing 3D Human Skeleton Key-point Detection through Weak...

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2023 IEEE EMBS Special Topic Conference on Data Science and engineering in Healthcare, Medicine and Biology, IEEECONF 2023

作者： Xu, Meng Gong, Yuanhao Dogramadzi, Sanja University of Sheffield Department of Automatic Control and Systems Engineering SheffieldS10 2TN United Kingdom Shenzhen University Faculty of Electronics and Information Engineering China

ISBN: (纸本)9798350383386

With the soaring interest in understanding the dynamics of human body skeletons for applications such as action recognition and video understanding, the significance of precise 3D key-point detection has become increasingly prominent. Despite the advancements, existing approaches struggle to address the issues of occlusions and limited annotated data. This paper proposes a novel framework integrating a multilevel attention mechanism and weakly supervised 3D key-point generation to tackle these prevalent issues, enhancing both the accuracy and efficiency of human pose estimation. © 2023 IEEE.

关键词： Musculoskeletal system

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Fuzzy Comprehensive Evaluation based NLOS Identification for UWB Indoor Positioning

Fuzzy Comprehensive Evaluation based NLOS Identification for...

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2024 Mid-term Symposium on Spatial Information to Empower the Metaverse

作者： Li, Jinkun Xiu, Chundi Wang, Feng Selezneva, Maria S. Yang, Dongkai Department of Electronic and Information Engineering Beihang University Beijing100191 China International Innovation Institute Beihang University Hangzhou311115 China Department of Automatic Control Systems Bauman Moscow State Technical University Russia

Ultra-wideband (UWB) positioning technology stands out from many indoor positioning technologies with its advantages of high precision. However, non-line-of-sight (NLOS) propagate leads to heavy range error and reduces position accuracy, this paper proposes a NLOS identification method based on channel impulse response (CIR), which includes three stages. Firstly, CIR based feature selection is carried out, which includes correlation analysis of calculated features. Secondly, fuzzy comprehensive evaluation model is introduced to NLOS identification. Finally, time of arrival (TOA) based location estimation is realized after NLOS ranging error mitigation. Simulation results show that the average identification rate of NLOS can exceed 86%, and the average positioning error can be reduced by about 0.5m. © Author(s) 2024.

关键词： Ultra-wideband (UWB)

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