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24th International Conference on Computational Problems of electrical engineering, CPEE 2023

作者： Karpiuk, Nazar Klym, Halyna Vasylchychyn, Ivanna Lviv Polytechnic National University Department of Specialized Computer Systems Lviv Ukraine Lviv Polytechnic National University Department of Theoretical and General Electrical Engineering Lviv Ukraine

ISBN: (纸本)9798350330342

This scientific research is devoted to the analysis and testing of the Haar cascade classifier method for face recognition. The paper also justifies the choice of algorithm and provides a description of the implementation of the system on which the analysis was conducted. During the research, the developed system was tested on a sample of facial photographs that included images at different distances from the camera, different lighting conditions, and with different facial positions in the camera's plane of view. An analysis of the test results was conducted, and conclusions were drawn regarding the factors that should be considered when designing and using a facial recognition system to achieve high accuracy. © 2023 IEEE.

关键词： Face recognition

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Adaptive inter-intradomain alignment network with class-aware sampling strategy for rolling bearing fault diagnosis

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Science China(Technological Sciences) 2023年第10期66卷 2862-2870页

作者： GAO QinHe HUANG Tong ZHAO Ke SHAO HaiDong JIN Bo LIU ZhiHao WANG Dong National Key Discipline Laboratory of Armament Launch Theory&Technology Rocket Force University of EngineeringXi’an 710025China Key Laboratory of Road Construction Technology&Equipment Ministry of Education Chang’an UniversityXi’an 710054China College of Mechanical and Vehicle Engineering Hunan UniversityChangsha 410082China Institute of Systems and Robotics Department of Electrical and Computer EngineeringUniversity of CoimbraCoimbra 3030-290Portugal

Existing unsupervised domain adaptation approaches primarily focus on reducing the data distribution gap between the source and target domains,often neglecting the influence of class information,leading to inaccurate alignment *** by this observation,this paper proposes an adaptive inter-intra-domain discrepancy method to quantify the intra-class and inter-class discrepancies between the source and target ***,an adaptive factor is introduced to dynamically assess their relative *** upon the proposed adaptive inter-intradomain discrepancy approach,we develop an inter-intradomain alignment network with a class-aware sampling strategy(IDAN-CSS)to distill the feature *** classaware sampling strategy,integrated within IDAN-CSS,facilitates more efficient *** multiple transfer diagnosis cases,we comprehensively demonstrate the feasibility and effectiveness of the proposed IDAN-CSS model.

关键词： unsupervised domain adaptation inter-class domain discrepancy intra-class domain discrepancy class-aware sampling strategy

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Development of a Lower Limb Gait Asymmetry Index with Cyclogram Analysis Using Image Processing 12

Development of a Lower Limb Gait Asymmetry Index with Cyclog...

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12th RSI International Conference on robotics and Mechatronics, ICRoM 2024

作者： Etaati, Sepideh Javaherat, Fatemeh Delrobaei, Mehdi K. N. Toosi University of Technology Faculty of Electrical Engineering Department of Mechatronics Tehran Iran K. N. Toosi University of Technology Advanced Robotics and Automated Systems lab. Faculty of Mechanical Engineering Tehran Iran

ISBN: (纸本)9798331529734

Ahstract- This study focuses on developing a gait asymmetry index and applying image processing techniques to cyclogram analysis. We evaluated gait asymmetry under different walking conditions, specifically examining the effects of wearing a knee brace and holding a weight in hand. Using inertial measurement units (IMUs), we collected gait data to analyze knee, hip, and ankle angles in the sagittal plane. The joint kinematics data were assessed using our proposed asymmetry index, which combines image processing techniques and linear regression models. The proposed asymmetry index incorporates cyclogram area, trend symmetry, and the longest length of the cyclogram shape, effectively capturing variations in symmetry and providing a comprehensive measure. The results demonstrate that the proposed asymmetry index can effectively distinguish between different gait conditions. The findings potentially offer insights for researchers and clinicians in human biomechanics, aiding in the planning of interventions and the assessment of motion patterns, as well as for developers of bipedal walking robots in the field of robotic locomotion, enhancing their ability to design hardware and evaluate motion patterns. © 2024 IEEE.

关键词： Robot programming

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Prediabetes detection in unconstrained conditions using wearable sensors

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Clinical Nutrition Open Science 2024年 58卷 163-174页

作者： Tatli, Dimitra Papapanagiotou, Vasileios Liakos, Aris Tsapas, Apostolos Delopoulos, Anastasios Multimedia Understanding Group Dpt. of Electrical and Computer Engineering Faculty of Engineering AUTH Greece Embedded Systems Laboratory Institute of Electrical and Micro Engineering EPFL Lausanne Switzerland IMPACT Research Group Dpt. of Medicine Karolinska Institutet Huddinge Sweden Diabetes Centre Second Medical Department at Ippokratio General Hospital Thessaloniki Greece

Prediabetes is a common health condition that often goes undetected until it progresses to type 2 diabetes. Early identification of prediabetes is essential for timely intervention and prevention of complications. This research explores the feasibility of using wearable continuous glucose monitoring along with smartwatches with embedded inertial sensors to collect glucose measurements and acceleration signals respectively, for the early detection of prediabetes. We propose a methodology based on signal processing and machine learning techniques. Two feature sets are extracted from the collected signals, based both on a dynamic modeling of the human glucose-homeostasis system and on the Glucose curve, inspired by three major glucose related blood tests. Features are aggregated per individual using bootstrap. Support Vector Machines are used to classify normoglycemic vs. prediabetic individuals. We collected data from 22 participants for evaluation. The results are highly encouraging, demonstrating high sensitivity and precision. This work is a proof of concept, highlighting the potential of wearable devices in prediabetes assessment. Future directions involve expanding the study to a larger, more diverse population and exploring the integration of CGM and smartwatch functionalities into a unified device. Automated eating detecting algorithms can also be used. © 2024 The Authors

关键词： Continuous glucose monitors Machine learning Prediabetes Signal processing

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Problems in Control systems of Electric Drives of Metalworking Machines

Problems in Control Systems of Electric Drives of Metalworki...

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2024 Conference of Young Researchers in electrical and Electronic engineering, ElCon 2024

作者： Lazovskiy, Nikolay V. Kundyukov, Oleg A. Ershov, Kirill K. St. Petersburg State Electrotechnical University 'LETI' Department of Robotics and Automation of Production Systems Saint Petersburg Russia Petersburg State University of Industrial Technologies and Design Department of Automated Electric Drive and Electrical Engineering Saint Saint Petersburg Russia

The types of errors of machine tools are considered. Methods for increasing the productivity of machine tools and the accuracy of processing workpieces are analyzed. Promising directions for the development of electri... 详细信息

ISBN: (纸本)9798350360646

关键词： automation control systems electric drives metalworking machines

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A Tool to Optimize the Participation of BESS to the UK Ancillary Services Market

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IFAC-PapersOnLine 2024年第2期58卷 106-111页

作者： Virginia Casella Alice La Fata Stefano Suzzi Giulia Barbero Riccardo Barilli Department of Informatics Bioengineering Robotics and Systems Engineering University of Genoa Italy Electrical Electronics and Telecommunication Engineering and Naval Architecture Department University of Genoa Italy Renantis Milan Italy

In the last decade, several applications and studies have demonstrated that, thanks to their fast response time, Battery Energy Storage systems (BESSs) are a promising technology to incorporate operational flexibility in grids and plants, opening to the possibility of providing a set of different grid services. In this context, this paper defines an optimization model to encode UK market rules and output the optimal set of offers on day-ahead and intraday markets, dynamic frequency response services and imbalance settlement, with a specific focus on a BESS. The proposed mathematical model includes BESS technical constraints and market temporal sequencing, also modelling the State Of Energy Management. Limitations on the number of cycles per day and optimization of the battery use are implemented. A Mixed Integer Linear Programming problem is defined to reduce the computational burden and to integrate the model in the Energy Management System (EMS) developed by the University of Genoa. Specific tests have been performed, allowing to compare scenarios in which ancillary services are enabled or not. According to the results, Dynamic Frequency Response services are the most profitable market. The integration in the EMS of the constraints related to the encoded market sections allows to exploit this tool to evaluate the profitability of investments involving a BESS over long time horizon.

关键词： Battery Energy Storage System Energy Management System Electricity Market Dynamic Frequency Response Service

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Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates

arXiv

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arXiv 2024年

作者： Angioni, Daniele Demetrio, Luca Pintor, Maura Oneto, Luca Anguita, Davide Biggio, Battista Roli, Fabio Department of Electrical and Electronic Engineering University of Cagliari Italy Department of Informatics Bioengineering Robotics and Systems Engineering University of Genova Italy

Machine-learning models demand for periodic updates to improve their average accuracy, exploiting novel architectures and additional data. However, a newly-updated model may commit mistakes that the previous model did not make. Such misclassifications are referred to as negative flips, and experienced by users as a regression of performance. In this work, we show that this problem also affects robustness to adversarial examples, thereby hindering the development of secure model update practices. In particular, when updating a model to improve its adversarial robustness, some previously-ineffective adversarial examples may become misclassified, causing a regression in the perceived security of the system. We propose a novel technique, named robustness-congruent adversarial training, to address this issue. It amounts to fine-tuning a model with adversarial training, while constraining it to retain higher robustness on the adversarial examples that were correctly classified before the update. We show that our algorithm and, more generally, learning with non-regression constraints, provides a theoretically-grounded framework to train consistent estimators. Our experiments on robust models for computer vision confirm that (i) both accuracy and robustness, even if improved after model update, can be affected by negative flips, and (ii) our robustness-congruent adversarial training can mitigate the problem, outperforming competing baseline methods. Copyright © 2024, The Authors. All rights reserved.

关键词： Machine learning

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Adaptive-extremum seeking control algorithm to seek the odor source using a multi-agent system 41

Adaptive-extremum seeking control algorithm to seek the odor...

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第41届中国控制会议

作者： Meh Jabeen Qing-Hao Meng Li-Cheng Jin Sheng Jin Zhen-Yu Deng Institute of Robotics and Autonomous Systems School of Electrical and Information EngineeringTianjin University Department of Software Engineering The University of Lahore Tianjin Fire Science and Technology Research Institute of MEM

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This study aims to seek the odor source using a multi-agent *** main challenge of the odor source seeking is to search the optimal extremum in the presence of multiple local extrema in a gradient complex *** this,an adaptive-extremum seeking control(adaptive-ESC) algorithm has been *** are navigated to the vicinity of the source based on an estimated gradient using *** the proposed algorithm,both the integral gain and the amplitude of the perturbation signal are adjusted *** local convergence of the algorithm has been proved using averaging *** performance of the proposed algorithm is validated through simulations by employing a multi-agent system.

关键词： Odor source seeking Extremum seeking control Adaption approaches

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Influence of Elasticity of Elements of Kinematic Chains of Drives of the Main Movement of Lathes on the Dynamics and Accuracy of Maintaining the Spindle Speed

Influence of Elasticity of Elements of Kinematic Chains of D...

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2023 Seminar on electrical engineering, Automation and Control systems: Theory and Practical Applications, EEACS 2023

作者： Kundyukov, Oleg A. Korolev, Vladimir I. Belov, Mikhail P. Ershov, Kirill K. Saint Petersburg Electrotechnical University "LETI" Department of Robotics of Automated Production Systems Saint Petersburg Russia Graduate School of Technology and Energy Department of Automated Electric Drive and Electrical Engineering Saint Petersburg Russia

ISBN: (纸本)9798350358537

Analysis of the elasticity of the elements of the kinematic chains of the drives of the main movement of lathes has been carried out. The study of the influence of elasticity on the dynamics and accuracy of maintaining the speed was carried out in the mathematical environment of Matlab and Simulink. Recommendations for improving the accuracy of maintaining the speed are formulated. © 2023 IEEE.

关键词： Elasticity

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The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1313-1316页

作者： Tianyu Shen Jinlin Sun Shihan Kong Yutong Wang Juanjuan Li Xuan Li Fei-Yue Wang College of Information Science and Technology Beijing University of Chemical TechnologyBeijing 100029China School of Electrical and Information Engineering Jiangsu UniversityZhenjiang 212013China State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and RoboticsCollege of EngineeringPeking UniversityBeijing 100871China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Peng Cheng Laboratory Shenzhen 518000China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China IEEE

THE tremendous impact of large models represented by ChatGPT[1]-[3]makes it necessary to con-sider the practical applications of such models[4].However,for an artificial intelligence(AI)to truly evolve,it needs to possess a physical“body”to transition from the virtual world to the real world and evolve through interaction with the real *** this context,“embodied intelligence”has sparked a new wave of research and technology,leading AI beyond the digital realm into a new paradigm that can actively act and perceive in a physical environment through tangible entities such as robots and automated devices[5].

关键词： Intelligence DAO TAO

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