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SSRN 2025年

作者： Rahman, Md Hafizur Shahid, Ashhad Ali Haque, Tansu Sila Gulzar, Muhammad Majid Shafiullah, Md Systems & Control Engineering King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia Department of Mechatronics Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh KFUPM Dhahran31261 Saudi Arabia

For the safe transfer of petroleum products, pipeline leak detection is crucial since leaks present serious dangers, including financial losses, health risks, and environmental harm. In order to detect pipeline breaches, especially pinhole-sized leaks, with high accuracy, this study combines acoustic emission (AE) technology with machine learning (ML) approaches. Three different datasets are used in the study: the GPLA-12 dataset, which uses AE signals to simulate real-world pipeline conditions under various gas pressures, noise levels, and sensor types;a pipeline corrosion dataset, which examines how corrosion affects the formation of leaks;and a Roboflow image dataset, which uses deep learning techniques to enable visual leak detection. By addressing various operational issues, each dataset strengthens the detection system’s resilience. Data standardization, augmentation, and label modifications were all part of the dataset processing. After evaluating a number of machine learning and deep learning classifiers, Naive Bayes was shown to have the best accuracy for AE-based detection. XGBoost fared better on the pipeline corrosion dataset than other methods like Random Forest, KNearest Neighbours (KNN), and Logistic Regression. The YOLOv8 model was used to process the Roboflow image dataset in order to locate visual leaks. The findings show that AE-based sensing, sophisticated image analy- © 2025, The Authors. All rights reserved.

关键词： Health risks

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An EMG-Based Objective Function for Human-in-the-Loop Optimization

An EMG-Based Objective Function for Human-in-the-Loop Optimi...

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IEEE International Conference on Rehabilitation Robotics (ICORR)

作者： María Alejandra Díaz Sander De Bock Philipp Beckerle Jan Babič Tom Verstraten Kevin De Pauw Human Physiology and Sports Physiotherapy Research Group Brussels Human Robotic Research Center Vrije Universiteit Brussel Brussels Belgium Department of Electrical Engineering and the Department of Artificial Intelligence in Biomedical Engineering Institute of Autonomous Systems and Mechatronics Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Germany Department of Automation Biocybernetics and Robotics Laboratory for Neuromechanics and Biorobotics Jožef Stefan Institute Ljubljana Slovenia Faculty of Electrical Engineering University of Ljubljana Ljubljana Slovenia Robotics and Multibody Mechanics Research Group Vrije Universiteit Brussel and Flanders Make Brussels Belgium

Advancements in wearable robots aim to improve the users' motion, performance, and comfort by optimizing, mainly, energetic cost (EC). However, EC is a noisy measurement with a physiological delayed response that requires long evaluation periods and wearing an uncomfortable mask. This study aims to estimate and minimize an EMG-based objective function that describes the natural energetic expenditure of individuals walking. This objective is assessed by combining multiple electromyography (EMG) variables from the EMG intensity and muscle synergies. To evaluate this objective function simply and repeatedly, we prescribed step frequency (SF) via a metronome and optimized this frequency to minimize muscle activity demands. Further, a linear mixed-effects model was fitted for EC, with the EMG variables as fixed-effects and a random intercept that varies by participant. After the model was fitted to the data, a cubic polynomial was used to identify the optimal SF that reduces the overall EMG-based objective function. Our analysis outlines that the proposed objective function is comparable to the EC during walking, the primary objective function used in human-in-the-loop optimization. Thus, this EMG-based objective function could be potentially used to optimize wearable robots and improve human-robot interaction.

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Intelligent fault tolerance control using long short-term memory for efficient system performance under fault conditions

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Scientific Reports 2025年第1期15卷 1-16页

作者： El-Mahdy, Mostafa H. Ali, Abdelrahman O. Hassan, O.H. El-Gendy, Eman M. Saafan, Mahmoud M. Mechatronics Department Faculty of Engineering Ahram Canadian University Cairo Egypt Mechanical Power Engineering Department Faculty of Engineering Mansoura University Mansoura Egypt Faculty of Engineering Mansoura National University Mansoura Egypt Computers Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

Fault-Tolerant control (FTC) is a crucial field within control systems engineering that focuses on designing systems capable of maintaining desired performance and stability even in the presence of faults. This study introduces a data-driven fault-tolerant control system that enhances the operation of control systems in the presence of faults. The system is designed on a single Long Short-Term Memory (LSTM), which replaces the units responsible for diagnosis and control reconfiguration. The LSTM-FTC system does not require diagnostic and process models, which is a significant advantage over traditional model-based methods. The factory I/O is interfaced with MATLAB through the implementation of the digital twin idea, which allows for the simulation and validation of the suggested approaches. These approaches are then applied to an assembler case study that included both faultless and multiple faulty sensors. The training process reaches 6553 iterations with Root Mean Square Error (RMSE) equal to at six minutes and 17 s. The results of the simulation demonstrate the effectiveness of the proposed approaches. The accuracy of the system outputs in the faultless and worst-case scenarios are 92.81% and 67.16% respectively. © The Author(s) 2025.

关键词： And long short-term memory network Assembler Passive fault tolerant controllers Robust controller Sensors faults

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Introducing GyroSym: a single-wheel robot

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International Journal of Dynamics and control 2020年第2期8卷 404-417页

作者： Forouhar, Moein Abedin-Nasab, Mohammad H. Liu, Guangjun School of Mechanical Engineering Sharif University of Technology Tehran11365-9567 Iran Department of Biomedical Engineering Rowan University GlassboroNJ08028 United States Systems and Control Lab Ryerson University TorontoONM5B 2K3 Canada

In this paper, GyroSym, a compact highly-stable single-wheel robot is introduced. Symmetrical flywheels have been used as its stabilization mechanism to keep the wheel upright. Thanks to the type of the flywheel used, the dynamic equations of the robot is simplified, the torque needed to tilt the spin axis is reduced, and the space is drastically minimized. Besides, a centrifugal clutch is used to smooth the motion of the robot in forward motion. Two controllers, fuzzy and fuzzy-Padé, were implemented based on their ability to stabilize the robot. Although both prevented the GyroSym from falling over, neither can entirely cancel out the effects of nonlinear behaviors that is present in the response, represented as high-frequency low domain noise. However, fuzzy-Padé demonstrated more efficient functionality, response, and mathematical simplicity which made it a perfect choice for stabilizing the GyroSym. Experimental results of a prototype have validated that of the mathematical analysis and simulations. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： controllers

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Quantitatively mapping local quality of super-resolution microscopy by rolling Fourier ring correlation

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Light(Science & Applications) 2023年第12期12卷 2826-2844页

作者： Weisong Zhao Xiaoshuai Huang Jianyu Yang Liying Qu Guohua Qiu Yue Zhao Xinwei Wang Deer Su Xumin Ding Heng Mao Yaming Jiu Ying Hu Jiubin Tan Shiqun Zhao Leiting Pan Liangyi Chen Haoyu Li Innovation Photonics and Imaging Center School of Instrumentation Science and EngineeringHarbin Institute of TechnologyHarbinChina Key Laboratory of Ultra-Precision Intelligent Instrumentation of Ministry of Industry and Information Technology Harbin Institute of TechnologyHarbinChina Biomedical Engineering Department International Cancer InstitutePeking University Cancer Hospital and InstituteHealth Science CenterPeking UniversityBeijingChina The Key Laboratory of Weak-Light Nonlinear Photonics of Education Ministry School of Physics and TEDA Institute of Applied PhysicsFrontiers Science Center for Cell ResponsesNankai UniversityTianjinChina State Key Laboratory of Membrane Biology Beijing Key Laboratory of Cardiometabolic Molecular MedicineInstitute of Molecular MedicineNational Biomedical Imaging CenterSchool of Future TechnologyPeking UniversityBeijingChina Department of Control Science and Engineering Harbin Institute of TechnologyHarbinChina School of Mathematical Sciences Peking UniversityBeijingChina Unit of Cell Biology and Imaging Study of Pathogen Host Interaction The Center for MicrobesDevelopment and HealthKey Laboratory of Molecular Virology and ImmunologyShanghai Institute of Immunity and InfectionChinese Academy of SciencesShanghaiChina School of Life Science and Technology Harbin Institute of TechnologyHarbinChina PKU-IDG/McGovern Institute for Brain Research BeijingChina Beijing Academy of Artificial Intelligence BeijingChina Frontiers Science Center for Matter Behave in Space Environment Harbin Institute of TechnologyHarbinChina Key Laboratory of Micro-Systems and Micro-Structures Manufacturing of Ministry of Education Harbin Institute of TechnologyHarbinChina

In fluorescence microscopy,computational algorithms have been developed to suppress noise,enhance contrast,and even enable super-resolution(SR).However,the local quality of the images may vary on multiple scales,and these differences can lead to *** mapping methods fail to finely estimate the local quality,challenging to associate the SR scale ***,we develop a rolling Fourier ring correlation(rFRC)method to evaluate the reconstruction uncertainties down to SR *** visually pinpoint regions with low reliability,a filtered rFRC is combined with a modified resolution-scaled error map(RSM),offering a comprehensive and concise map for further *** demonstrate their performances on various SR imaging modalities,and the resulting quantitative maps enable better SR images integrated from different ***,we expect that our framework can become a routinely used tool for biologists in assessing their image datasets in general and inspire further advances in the rapidly developing field of computational imaging.

关键词： resolution local enable

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Smart Maracas: An Innovative Triboelectric Nanogenerator for Earthquake Detection and Energy Harvesting

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SSRN 2023年

作者： Chandrasekhar, Arunkumar Basith, Sayyid Abdul Vivekananthan, Venkateswaran Khandelwal, Gaurav Maria Joseph Raj, Nirmal Prashant Purusothaman, Yuvasree Kim, Sang Jae Nanosensors and Nanoenergy Lab Sensor Systems Lab Department of Sensor and Biomedical Technology School of Electronics Engineering Vellore Institute of Technology Tamil Nadu Vellore632014 India Center for Flexible Electronics Department of Electronics and Communication Engineering Koneru Lakshmaiah Education Foundation Andhra Pradesh 522302 India James Watt South Building School of Engineering University of Glasgow G12 8QQ United Kingdom Energy Harvesting Research Group School of Physics and Astronomy SUPA University of St Andrews United Kingdom Department of Materials Science and Engineering The Pennsylvania State University University ParkPennsylvania16802 United States Nanomaterials and Systems Laboratory Faculty of Applied Energy Systems Major in Mechatronics Engineering Jeju National University Korea Republic of Jeju National University Jeju63243 Korea Republic of

In an era marked by a growing demand for sustainable energy solutions and resilient disaster management systems, the convergence of innovative technologies holds the promise of addressing multifaceted challenges. This manuscript explores the multifunctional capabilities of the "smart maracas", a novel triboelectric nanogenerator (TENG) designed to harvest mechanical energy and simultaneously serve as an earthquake sensor. The smart maracas is a striking example of the potential of TENGs to harness mechanical motion for practical applications. The device converts mechanical energy into electrical power through meticulous engineering, opening avenues for self-sustaining power sources in various domains. The manuscript outlines the device's structural design, working principle, and real-time applications, spanning bio-mechanical energy harvesting, vibrational energy scavenging, rotational energy harvesting, and a unique sensing application for door monitoring. A pivotal aspect of this research revolves around the smart maracas' role as an earthquake sensor. Rigorous experiments were conducted to assess the device's responsiveness to simulated seismic forces. Notably, a linear relationship with an R² value of 0.9989 was established between the voltage generated by the smart maracas and seismic acceleration. This remarkable correlation underscores the device's precision and reliability in detecting seismic events, opening doors for cost-effective earthquake monitoring solutions. © 2023, The Authors. All rights reserved.

关键词： Earthquakes

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Non-proteolytic ubiquitination of HBx controls HBV replication

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Virologica Sinica 2024年第2期39卷 338-342页

作者： Xiangpeng Sheng Yi Yang Min Zhu Linlin Zhou Fang Zhu Yuanfei Zhu Siying Dong Hui Kong Honghua Wang Ji Jiang Mingyue Wan Mingyang Feng Qiang Deng Yumin Xu Qing You Ronggui Hu State Key Laboratory for Animal Disease Control and Prevention Harbin Veterinary Research InstituteChinese Academy of Agricultural SciencesHarbin 150069China State Key Laboratory of Molecular Biology Shanghai Institute of Biochemistry and Cell BiologyCenter for Excellence in Molecular Cell ScienceChinese Academy of SciencesShanghai 200031China Key Laboratory of Systems Health Science of Zhejiang Province School of Life ScienceHangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China Department of Thoracic Surgery Ruijin HospitalShanghai Jiaotong University School of MedicineShanghai 200025China Shanghai Key Laboratory of Plant Molecular Sciences College of Life SciencesShanghai Normal UniversityShanghai 200234China Department of Pathogenic Biology West China School of Basic Medical Sciences&Forensic MedicineSichuan UniversityChengdu 610041China School of Medicine Guizhou UniversityGuiyang 550025China Key Laboratory of Medical Molecular Virology(MOE&MOH) School of Basic Medical SciencesFudan UniversityShanghai 200032China Department of Hospital Infection Management Department of Infectious DiseasesRuijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200025China School of Biomedical Engineering Shanghai Jiao Tong UniversityShanghai 200240China

Dear Editor,Although effective vaccines and antiviral therapies are available,hepatitis B virus(HBV)infection is still a serious global health *** HBV infection remains the principal cause of liver cirrhosis and hepatocellular carcinoma(HCC).HBV is a small DNA virus,owning a~3.2 kb genome that encodes several proteins:viral DNA polymerase,core antigen(HBcAg),E antigen(HBeAg),three surface antigens(PreS1/PreS2/HBsAg),and a regulatory X protein(HBx)(Lamontagne et al.,2016).X protein,named for its lack of homology with any known proteins,is a 154 aa protein that plays an essential role in HBV biology and regulates the development of HCC(Yang et al.,2022).Although previous studies have strongly expanded our understanding of HBx,the regulation of HBx is not completely elucidated.

关键词： infection cirrhosis

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Turning liquid metals into elastic ropes

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Science Bulletin 2020年第24期65卷 2043-2044,M0004页

作者： Cheng Qi Zhou Liu Tiantian Kong College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518000China Department of Environmental and Chemical Engineering Shenzhen UniversityShenzhen 518000China Department of Biomedical Engineering School of MedicineShenzhen UniversityShenzhen 518000China

Liquid metals are a class of metals that are fluids at room temperature. They have surface tension, that is approximately an order of magnitude higher than that of water, owing to the high surface energy of metals. The ultra-high surface tension creates a stream of liquid metal droplets to minimize surface energy, and therefore, creating other shapes is difficult. Enormous efforts have been made to manipulate liquid metals into various shapes and patterns, and are driven by emerging opportunities for soft.

关键词： temperature. 液态金属 metals

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Hydrogen Ion Implantation Induced Cutting Behavior Variation in Plunge Cutting of the Monocrystalline Silicon

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Nanomanufacturing and Metrology 2021年第4期4卷 209-215页

作者： Zejia Zhao E.V.Jelenkovic Gaobo Xiao Zhuoxuan Zhuang Suet To Institute of Semiconductor Manufacturing Research College of Mechatronics and Control EngineeringShenzhen UniversityNan-hai Ave 3688Shenzhen 518060GuangdongPeople’s Republic of China State Key Laboratory of Ultra-precision Machining Technology Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHung HornKowloonHong Kong SARPeople’s Republic of China Zhuhai Bojay Electronics Co. Ltd10 Futian RdXiangzhou DistrictZhuhai.GuangdongPeople’s Republic of China

In this study,surface modification of monocrystalline silicon with two doses of hydrogen ion implantation and the plunge cutting process were conducted to explore the influence of hydrogen ions on the cutting behavior of *** results show that ion implantation is capable of deteriorating or improving the machinability of silicon,depending on the implantation *** cleavages and a reduction of critical depth of cut(CDoC)were observed for the silicon with a low implantation dose in the cutting direction of<100>in comparison to bare silicon,while no cleavage and an increase of CDoC were achieved after implantation with a high dose in the same cutting ***,the ductile cutting and thrust forces of the silicon with the low dose are larger than the bare silicon,but the forces are significantly reduced for the silicon after the high dose of *** variation of the cutting forces is due to the different required stresses to overcome ductile and fracture deformation of silicon.

关键词： Hydrogen ion implantation Plunge cutting Silicon Critical depth of cut Cutting forces

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Multivariable Experiment Design with Application to a Wafer Stage: a Sequential Relaxation Approach for Dealing with Element-Wise Constraints ⁎

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IFAC-PapersOnLine 2020年第2期53卷 8565-8570页

作者： Nic Dirkx Tom Oomen ASML Research Mechatronics & Control Veldhoven The Netherlands Eindhoven University of Technology Department of Mechanical Engineering Control Systems Technology Eindhoven The Netherlands

Optimal Experiment Design (OED) is an essential aspect in accurate Frequency Response Function (FRF) identification of complex systems. The aim of this paper is to optimally design experiments for FRF identification of multivariable motion systems subject to element-wise power constraints. This design problem involves solving a non-convex and generally NP-hard optimization problem. An algorithm to solving this problem approximately is presented based on sequential semi-definite relaxations. Experimental results on a wafer stage show an improvement of the FRF quality using the proposed techniques over traditional excitation design methods.

关键词： Optimal experiment design system identification multivariable systems frequency response function multisines rank constrained optimization non-convex optimization

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