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Photostriction effect and electric properties of La-doped PMN-PT transparent ferroelectric ceramics

International Journal of Smart and Nano Materials 2024年第2期15卷 296-311页

作者： Zhiqiang Song Zhuo Zhang Yirong Yu Dabin Lin Department of Automation and Robotics Engineering School of AutomationWuxi UniversityWuxiChina School of Optoelectronic Engineering Xian Technological UniversityXi'anChina

Ferroelectric ceramics display a remarkable photostriction effect,which could facilitate the prevention of electromagnetic interference and promote the integration and miniaturization of actuator systems,indicating potential applications in glim-mer *** this work,highly transparent La-doped 0.9Pb(Mg1/3Nb2/3)O3-0.1PbTiO3(0.9PMN-0.1PT)ceramicswere synthesized using a solid-state reaction method in an oxyge-nated *** and SEM were used to analyze the phase structure of the dense samples,which displayed a pure perovskite structure,with no trace of a pyrochlore *** La doping,the phase transitiontemperature shows a decreasing trend,and its dielectric constant could reach up to 20,*** P-E loop of the samples was gradually refined into a straight line with an increase in the doping *** La doping,the transparency of the 0.9PMN-0.1PT cera-mics was significantly enhanced and reached up to 61%at the near-infrared ***,the photogenerated voltage and deformation of the La-doped 0.9PMN-0.1PT ceramics were investigated under ultraviolet light of various *** 20 s of irradiation at an intensity of 800 mW/cm²,the max-imum voltage and deformation,with values of 40 V and 250 nm,respectively,were both found in the 1%La-doped 0.9PMN-0.1PT ceramics.

关键词： Photostriction ferroelectric Raman piezoelectric

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Neural Network Algorithm Based on LVQ for Myocardial Infarction Detection and Localization Using Multi-Lead ECG Data

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Computers, Materials & Continua 2025年第3期82卷 5257-5284页

作者： Kassymbek Ozhikenov Zhadyra Alimbayeva Chingiz Alimbayev Aiman Ozhikenova Yeldos Altay Department of Robotics and Engineering Tools of Automation Satbayev UniversityAlmaty050010Kazakhstan Joldasbekov Institute of Mechanics and Engineering Almaty050010Kazakhstan

Myocardial infarction(MI)is one of the leading causes of death globally among cardiovascular diseases,necessitating modern and accurate diagnostics for cardiac patient *** the available functional diagnostic methods,electrocardiography(ECG)is particularly well-known for its ability to detect ***,confirming its accuracy—particularly in identifying the localization of myocardial damage—often presents challenges in *** study,therefore,proposes a new approach based on machine learning models for the analysis of 12-lead ECG data to accurately identify the localization of *** particular,the learning vector quantization(LVQ)algorithm was applied,considering the contribution of each ECG lead in the 12-channel system,which obtained an accuracy of 87%in localizing damaged *** developed model was tested on verified data from the PTB database,including 445 ECG recordings from both healthy individuals and MI-diagnosed *** results demonstrated that the 12-lead ECG system allows for a comprehensive understanding of cardiac activities in myocardial infarction patients,serving as an essential tool for the diagnosis of myocardial conditions and localizing their damage.A comprehensive comparison was performed,including CNN,SVM,and Logistic Regression,to evaluate the proposed LVQ *** results demonstrate that the LVQ model achieves competitive performance in diagnostic tasks while maintaining computational efficiency,making it suitable for resource-constrained *** study also applies a carefully designed data pre-processing flow,including class balancing and noise removal,which improves the reliability and reproducibility of the *** aspects highlight the potential application of the LVQ model in cardiac diagnostics,opening up prospects for its use along with more complex neural network architectures.

关键词： Electrocardiography 12-lead electrocardiogram myocardial infarction heart disease learning vector quantization algorithm machine learning

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A trajectory-level robot skill learning method based on fuzzy systems

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Science China(Information Sciences) 2025年第5期68卷 38-52页

作者： Chao ZENG Zhen DENG Boyang TI Yongsheng GAO Department of Computer Science University of Liverpool School of Mechanical Engineering and Automation Fuzhou University State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences State Key Laboratory of Robotics and System Harbin Institute of Technology

Learning from demonstration(LfD) allows for the effective transfer of human manipulation skills to a robot by building a model that represents these skills based on a limited number of demonstrated ***,a skilllearning model that can comprehensively satisfy multiple requirements,such as computational complexity,modeling accuracy,trajectory smoothness,and robustness,is still ***,this work aims to provide such a model by employing fuzzy ***,we introduce an LfD model named Takagi-Sugeno-Kang fuzzy system-based movement primitives(TSKFMPs),which exploits the advantages of the fuzzy theory for effective robotic imitation learning of human *** work formulates the TSK fuzzy system and gradient descent(GD) as imitation learning models,leveraging recent advancements in GD-based optimization for fuzzy *** study takes a two-step strategy.(ⅰ) The input-output relationships of the model are established using TSK fuzzy systems based on demonstration *** this way,the skill is encoded by the model parameter in the latent space.(ⅱ) GD is used to optimize the model parameter to increase the modeling accuracy and trajectory *** further explain how learned trajectories are adapted to new task scenarios through local *** conduct multiple tests using an open dataset to validate our method,and the results demonstrate performance comparable with those of other ***,we implement it in a real-world case study.

关键词： robot skill learning movement primitives TSK fuzzy systems gradient descent robotics

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Enhancing retinal fundus image classification through Active Gradient Deep Convolutional Neural Network and Red Spider Optimization

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Neural Computing and Applications 2024年第26期36卷 16607-16619页

作者： Subramaniam, Krishnakumar Naganathan, Archana Department of Robotics and Automation Sri Ramakrishna Engineering College Coimbatore India Department of Electrical and Electronics Engineering PSG College of Technology Coimbatore India

Retinal fundus image classification is pivotal for the early detection of various eye disorders. Leveraging advancements in deep learning, this research introduces a robust framework for retinal fundus image classification. In this research paper, we introduce a novel methodology that integrates the Active Gradient Deep Convolutional Neural Network (AG-DCNN) architecture with the Red Spider Optimization (RSO) algorithm. Extensive evaluations conducted on well-established retinal image datasets such as DRIVE, STARE, CHASE DB1, HRF, DRISHTI-GS, and RFMiD illustrate substantial enhancements in classification accuracy, sensitivity, and specificity when compared to conventional approaches. The AG-DCNN with RSO exhibits superior performance and remarkable generalization abilities across diverse datasets. This novel approach not only enhances the latest advances in retinal image classification but also holds promise for early disease diagnosis and improved patient care. Through extensive examinations, our proposed method consistently outperforms established techniques, establishing itself as the benchmark in retinal fundus image classification. The integration of AG-DCNN and RSO showcases its efficacy and potential impact in advancing the field of medical image analysis. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Image classification

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Multi-Occupancy Activity Recognition Based on Deep Learning Models Fusing UWB Localisation Heatmaps and Nearby-Sensor Interaction

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IEEE Internet of Things Journal 2025年第11期12卷 16037-16052页

作者： Anguita-Molina, Miguel Angel Cardoso, Pedro J. S. Rodrigues, Joao M. F. Medina-Quero, Javier Polo-Rodriguez, Aurora University of Granada Department of Computer Engineering Automation and Robotics 18071 Spain University of Algarve Nova Lincs and Institute of Engineering Faro8005-139 Portugal

Human Activity Recognition focuses on developing systems and techniques to recognise and categorise human actions automatically based on sensor data. This study combines ultra-wideband technology and binary sensors to describe and recognise daily activities in real-world environments with multiple occupants, ensuring accurate user localisation through non-invasive and privacy-respecting methods. A novel method that combines wearables with ultra-wideband technology, which allows the generation of heatmaps for accurate positioning, and binary sensors, which collect nearby interaction with daily activities in naturalistic conditions, is presented. A dataset comprised of real-world data collected from three individuals in a real-life environment (house) was compiled. Advanced deep learning models are implemented to effectively fuse spatiotemporal information, leading to an encouraging performance in recognition of daily activities. The promising results suggest that this approach could be viable for large-scale deployments in future smart environments. © 2014 IEEE.

关键词： Ultra-wideband (UWB)

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Robust control of isopropyl benzene production process using H_(∞) loop shaping control scheme

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Journal of Control and Decision 2024年第1期11卷 153-163页

作者： Vinila Mundakkal Lakshmanan Aparna Kallingal Sreepriya Sreekumar Department of Chemical Engineering National Institute of Technology CalicutKozhikodeKeralaIndia Department of Robotics and Automation Adi Shankara Institute of Engineering and TechnologyKaladyIndia

This paper discusses robust control strategy for isopropyl benzene production process using the method of loop shaping H_(∞) *** cumene production process is a part of phenol plant in HOCL,Kochi.H_(∞) control of the propylene concentration is done *** H_(∞) controller is derived from the linearised model of the *** optimal H_(∞) controller is obtained by simplifying two algebraic Riccati *** proposed PID-like H_(∞) controller provides a single tuning parameter which makes the controller design more *** proposed controller has been compared with other robust controllers like H_(2) and *** H_(∞) controller is found to be superior in a wide frequency range and has a feature of low distortion and good regulating *** reactor model has been developed in COMSOL Multiphysics with the parameters obtained from HOCL plant,*** model extracted is reduced using model order reduction for the controller design.

关键词： Cumene reactor H_(∞)loop shaping model order reduction Riccati equation PID control stability robustness

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Recent Advancement in Bioabsorbable Metals and Their Alloys for Implant Application—a Review

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Journal of The Institution of Engineers (India): Series D 2024年 1-17页

作者： Kadam, K.S. Gadakh, V.S. Department of Mechanical Engineering Dr. Vithalrao Vikhe Patil College of Engineering Ahmednagar414111 India Department of Automation and Robotics Engineering Amrutvahini College of Engineering Sangamner Ahmednagar422608 India

The emergence of bioabsorbable implant materials has generated significant enthusiasm in medical and engineering research. The present systematic review study thoroughly examines the development, characteristics, uses, and difficulties associated with bioabsorbable materials, specifically emphasizing magnesium, zinc, iron, and alloys. Bioabsorbable implant materials have become popular in orthopaedic and dental surgery because they enhance tissue regeneration while minimizing foreign body responses. Using bioabsorbable implant materials can lessen the requirement for implant removal operations while also improving patient outcomes. Developing bioabsorbable implant materials is a fascinating field of study with the potential to transform medical implant technology. The present systematic review study thoroughly examines the development, characteristics, uses, and difficulties associated with bioabsorbable materials, specifically emphasizing magnesium, zinc, iron, and alloys. The novelty of the present review is that a roadmap for future research is outlined. Thus, the present review thoroughly analyses the latest discoveries in bioabsorbable materials, providing valuable insights that could improve implant technology and significantly transform medical treatments and patient care. © The Institution of Engineers (India) 2024.

关键词： Magnesium alloys

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Characterization and Mechanical Behaviour of Nano-Al2O3 Reinforced Polymer Composites

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Journal of The Institution of Engineers (India): Series D 2024年 1-12页

作者： Mahesh, K.S. Satheesh, J. Department of Robotics & amp Automation JSS Academy of Technical Education Bengaluru India Department of Mechanical Engineering SJB Institute of Technology Bengaluru India

This study presents an experimental investigation into the mechanical behaviour and characterisation of Nano-Al2O3 reinforced polymer composites, aiming to enhance the understanding of their structural performance. The incorporation of nanoscale Al2O3 particles into polymer matrices has gained attention for its potential to improve the mechanical properties of the resulting composites. In this research, 1 wt% Nano-Al2O3 was dispersed within a polymer matrix through a systematic fabrication process. The mechanical behaviour of the developed composites was evaluated through a comprehensive set of experiments, including compression testing, flexural testing, and impact testing. The results provided insights into the effects of Nano-Al2O3 content on the strength, stiffness, and impact resistance of the composites. Microstructural characterisation using techniques such as scanning electron microscopy and X-ray diffraction were employed to analyse the dispersion of nanoparticles and the resulting changes in the composite structure. The findings from this experimental investigation contribute to the current knowledge base on Nano-Al2O3 reinforced polymer composites and offer valuable information for optimising the fabrication process to achieve desired mechanical properties. © The Institution of Engineers (India) 2024.

关键词： Compression testing

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Advancement in CFD and Responsive AI to Examine Cardiovascular Pulsatile Flow in Arteries:A Review

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Computer Modeling in engineering & Sciences 2024年第12期141卷 2021-2064页

作者： Priyambada Praharaj Chandrakant R.Sonawane Arunkumar Bongale Department of Engineering Science and Humanities JSPM Rajarshi Shahu College of EngineeringPune411033India Robotics and Automation Department Symbiosis Institute of TechnologySymbiosis Institute(Deemed)UniversityPune412115India

This paper represents a detailed and systematic review of one of the most ongoing applications of computational fluid dynamics(CFD)in biomedical *** its various engineering applications,CFD has started to establish a presence in the biomedical *** abnormality,a familiar health issue,is an essential point of investigation by research *** modalities provide cardiovascular structural information but give insufficient information about the hemodynamics of *** study of hemodynamic parameters can be a potential measure for determining cardiovascular *** studies have explored the rheological behavior of blood experimentally and *** paper provides insight into how researchers have incorporated the pulsatile nature of the blood experimentally,numerically,or through various simulations over the *** focuses on how machine learning platforms derive outputs based on mass and momentum conservation to predict the velocity and pressure profile,analyzing various cardiac diseases for clinical *** will pave the way toward responsive AI in cardiac healthcare,improving productivity and quality in the healthcare *** paper shows how CFD is a vital tool for efficiently studying the flow in *** review indicates this biomedical simulation and its applications in healthcare using machine learning and *** AI-based CFD models can impact society and foster the advancement towards responsive AI.

关键词： Pulsatile flow cardiovascular CFD simulation patient-specific GPU-accelerated responsive AI

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High-Velocity Projectile Impact Behaviour of Friction Stir Welded AA7075 Thick Plates

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Defence Technology（防务技术） 2023年第11期29卷 153-163页

作者： R.Praveen S.R.Koteswara Rao G.Selvakumar R.Damodaram Department of Robotics and Automation Karpaga Vinayaga College of Engineering and TechnologyChengalpattu603308TamilNaduIndia Department of Mechanical Engineering Sri Sivasubramaniya Nadar College of EngineeringChennai603110TamilNaduIndia

In this study, high velocity impact behaviour of friction stir welded AA7075-T651 25 mm thick plates were investigated using a 7.62 mm × 51 mm lead core and 7.62 mm × 39 mm steel core projectiles. Prior to ballistic trails, mechanical and metallurgical properties of friction stir welded AA 7075-T651 25 mm thick plates were studied. Microstructural and hardness studies revealed that friction stir welds constituted three distinct regions namely Weld Nugget(WN), Thermo-Mechanically Affected Zone(TMAZ) and Heat Affected Zone(HAZ). Base Material(BM) and all three weld regions were ballistically tested as per military standard NIJ.0108.01 using lead and steel core bullets at maximum permissible velocities of 830 ± 20 and 700 ± 30 m/s, respectively. It has been found that base material(AA7075-T651)and all three weld regions of 25 mm thick plates were able to resist perforation by both types of projectiles used. However depth of penetration has been found to increase from BM to WN, HAZ and TMAZ for both types of projectiles. In all cases steel core projectiles caused higher depth of penetration compared to those caused by lead core projectiles. TMAZs of the friction stir welds were found to be the weakest zone. The fracture that occurred in the base material was spall fragmentation indicating brittle failure, whereas all zones of friction stir welded AA7075-T651 targets with a front petalling, indicating ductile failure. The post-ballistic tested samples showed no significant change in the microstructure of the BM and WN. On the other hand, TMAZ and HAZ showed severe grain deformation in the direction of projectile penetration, and the formation of adiabatic shear bands(ASB). This work showed that 25 mm thick friction stir welded AA7075-T651 joints responded well to ballistic impact loads, making them a good choice for light combat vehicles.

关键词： Aluminum alloy Thick plate Friction stir welding Ballistic performance Depth of penetration

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