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17th International Conference on Open Source Systems and Technologies, ICOSST 2023

作者： Rahman, Muhammad Zia Ur Akbar, Muhammad Azeem Usman, Muhammad Tahir, Muhammad Hurrirah Shahzaib Riaz, Muhammad Tanveer Khan, Muhammad Abbas Lahore Faisalabad Campus Mechatronics and Manufacturing Engineering Dept. of Mechanical Faisalabad Pakistan Lappeenranta University of Technology Department of Information Technology Lappeenranta53851 Finland Lahore Faisalabad Campus Dept. of Mechatronics and Control Engineering Faisalabad Pakistan Balochistan University of Information Technology Engineering and Management Sciences Department of Electrical Engineering Quetta87300 Pakistan

ISBN: (纸本)9798350381320

Sign language is used by the deaf to interact with hearing individuals in the community. Despite the fact that sign language is often used, the general population is unaware of it, and only hearing-impaired people are familiar with its usage. In this article, we have created a system for real-Time sign language recognition in order to communicate with folks who are deaf or hard of hearing by using Pakistan Sign Language (PSL) as its sign language. Ten types or indications of PSL are differentiated in this study. Flex sensors in the glove can detect the position of certain fingers. The MPU-6050, a micro-electro-mechanical device is used to capture the unique characteristics of the hand's movement in a 3D space. In this setup, a Raspberry Pi 3B serves as the microcontroller. MPU-6050 and Flex sensors performance are integrated with additional elements including mean, energy, variance, and correlation for classification. In our investigation, we have collected information from over 3,000 movement feature samples from different people. To increase the precision of the proposed methodology, we have incorporated several machine learning classification algorithms. © 2023 IEEE.

关键词： Support vector machines

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Instability-Driven 3D bioprinting for engineering composite bio-inks

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Engineered Regeneration 2024年第3期5卷 350-360页

作者： Jing Ma Cheng Qi Zhou Liu Si Meng Tiantian Kong Department of Biomedical Engineering School of MedicineShenzhen UniversityShenzhenGuangdong 518000China Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control EngineeringShenzhen UniversityShenzhenGuangdong 518000China College of Chemistry and Environmental Engineering Shenzhen UniversityShenzhenGuangdong 518000China Department of Urology Shenzhen Institute of Translational MedicineThe First Affiliated Hospital of Shenzhen UniversityShenzhen Second People’s HospitalShenzhenGuangdong 518037China

Extrusion-based 3D bioprinting techniques are revolutionizing bioengineering by facilitating the creation of com-plex 3D *** review offers a thorough overview of extrusion-based 3D bioprinting methods,par-ticularly highlighting the innovative electric-assisted coil-write 3D bioprinting *** review begins by explicating the fundamental principles underlying various extrusion-based 3D bioprinting *** covers the printing equipment composition,suitable materials for 3D bioprinting,and the latest breakthroughs in tech-nology.A critical aspect of this review is the in-depth comparison of the strengths and weaknesses associated with each 3D bioprinting *** electro-microfluidic extrusion method and the electric-assisted coil-write 3D bioprinting technology are *** advanced technology successfully overcomes the limitations of conventional extrusion-based methods,notably in the precise printing of intricately curved line structures with high resolution and *** method ingeniously integrates mechanical motion for creating microscale features with electrical coiling for sub-micron details,thus achieving remarkable printing speeds and structural *** review concludes by exploring the potential applications and future advancements of this state-of-the-art *** underscores the ability of electric-assisted coil-write 3D bioprinting to develop pioneering materials and micro-devices for a variety of technological sectors,highlighting its transformative impact in bioengineering.

关键词： Bioprinting Extrusion Coiling Electrospinning Instability

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Biomass Fuel Classification from Agricultural Residues Using Machine Learning 12

Biomass Fuel Classification from Agricultural Residues Using...

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12th IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2024

作者： Pachauri, Nikhil Gupta, Himanshu Verma, Om Prakash Kumar Singh, Sushil Verma, Deepak Rn, Ravikumar Manipal Academy of Higher Education Department of Mechatronics Manipal Institute of Technology Manipal India Manipal Institute of Technology Manipal Academy of Higher Education Department of Instrumentation and Control Engineering Karnataka Manipal India Dr B R Ambedkar National Institute of Technology Jalandhar Department of Instrumentation and Control Engineering Jalandhar India Marwadi University Department of Computer Engineering of Computer Engineering Gujarat Rajkot India Marwadi University Dept. of Computer Engineering Gujarat Rajkot India

ISBN: (纸本)9798350340204

This work incorporates an adaptive learning-based boosting (ADboost) ML classifier to classify four types of fuel: agricultural residue, coals, wood, and produced biomass. Further, the ADboost's hyperparameters, such as learning rate, maximum number of splits, and minimum leaf size are adjusted using teaching learning-based optimization (TLBO), resulting in TADboost. The performance of TADboost is compared against various popular ML (NN, BAG, NB, and SVM) models. Simulated result reveals that the suggested classifiers outperform other compared ML classifiers for fuel classification with the classification accuracy, precision, recall, F1-score, and kappa as 0.9659, 0.9671, 0.9449, 0.9558, and 0.9482, respectively. © 2024 IEEE.

关键词： Adversarial machine learning

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System Identification and Position control of Pneumatic Actuator 9

System Identification and Position Control of Pneumatic Actu...

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9th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2023

作者： Lababidi, Sami Ibad Sahlan, Shafishuhaza Muftah, Mohamed Naji Faudzi, Ahmad LAthif Mohd Ali, Fuead Universiti Teknologi Malaysia Faculty of Electrical Engineering Control Mechatronics and Engineering Department Skudai. Johor Malaysia University Kuala Lumpur Malaysian Institute of Information Technology Kuala Lumpur Malaysia

ISBN: (纸本)9798350343380

In this paper, to improve the system's performance for precise control of the developed pneumatic cylinder model, a proportional-integral-derivative (PID) controller is designed. The paper demonstrates that by using the obtained mathematical model and implementing the PID controller through the developed human-machine interface (HMI) in MATLAB, precise position control of the pneumatic actuator can be achieved, overcoming the challenges posed by the nonlinear behaviour of pneumatic actuators and leading to improved system performance in various industrial industrial applications. The PID model was optimized using both the Auto tuning and Ziegler-Nichols tuning methods, resulting in the best performance with response times of 0.534 seconds (Ts), 0.375 seconds (Tr), and an overshoot of 0.0799% (OS%). © 2023 IEEE.

关键词： Three term control systems

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Fabrication of helical flutes on the micro-drill surface by micro-EDM using composite disc foil electrodes

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International Journal of Advanced Manufacturing Technology 2025年第5期138卷 2357-2367页

作者： Xu, Bin Liu, Weitong Lian, Manqun Lei, Jianguo Wu, Xiaoyu Fu, Lianyu Zhao, Chunyang Zhang, Canbin Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control Engineering Shenzhen University Guangdong Shenzhen518060 China Shenzhen Jinzhou Precision Technology Corp Shenzhen518116 China State Key Laboratory of Ultra-Precision Machining Technology Department of Industrial and Systems Engineering The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong

Micro-drills are widely used in the micro-hole machining of printed circuit boards. Helical flutes, the core feature of micro-drills, play a crucial role in chip discharge. Precision grinding technology is commonly used for machining the helical flutes in micro-drills. Grinding is a contact machining technology that generates a grinding force during the process. When the diameter of the micro-drill is minimal (Φ ≤ 100 µm), the grinding force is extremely prone to cause deformation or even fracture of the micro-drill, leading to a decreased yield. To overcome the above problem, the paper proposed an approach to fabricate a helical flute structure on the surface of a micro-drill by micro electrical discharge machining (micro-EDM) using a beryllium-copper-tin composite disc foil electrode (CDFE). Micro-EDM, a type of non-contact machining, can effectively avoid the disadvantage of grinding the helical flute of the micro-drill. Through an orthogonal experiment, the effects of the rotation velocity of the CDFE, machining voltage, and pulse duration ratio on the machining quality of the helical flutes were analysed in detail. Finally, with 4000 r/min CDFE rotation velocity, 24 V machining voltage, 1 µs pulse duration and 3 µs pulse interval, a helical flute structure with a surface roughness Ra of 0.381 µm was successfully machined on the surface of a 70 µm diameter micro-drill. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

关键词： Surface roughness

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Effective State Estimation for a Class of Nonlinear Systems using Soft Actor-Critic Reinforcement Learning

Effective State Estimation for a Class of Nonlinear Systems ...

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International Conference on Computer Theory and Applications (ICCTA)

作者： Sohila Megahed Ayman El-Badawy Automation and Control German International University Mechatronics Engineering Department German University in Cairo

ISBN: (数字)9798331529680

ISBN: (纸本)9798331529697

A state estimator using soft actor-critic (SAC) reinforcement learning (RL) algorithm is presented in this paper. Estimating states of non linear systems is a challenging task due to the inherent complexities of such systems, including uncertainties, nonlinearities, and measurement noise. Motivated by the need to address these limitations, thereby enhancing control performance, this work proposes an efficient state estimation technique. Specifically, we aim to replace the computationally expensive gain calculation within the Extended Kalman Filter (EKF) with the output of a neural network trained using the SAC algorithm. This approach eliminates the requirement for explicit computation of the covariance and Jacobian matrices, which are significant bottlenecks in the EKF. Consequently, the estimation process exhibits improved efficiency, particularly after the neural network has been adequately trained. To validate the efficacy of the proposed technique, a deep RL agent was implemented, trained, and tested on an unmanned aerial vehicle (UAV) system. The convergence of the estimation error and the observed 71% reduction in simulation execution time serve as evidence for the accuracy and efficiency of this estimation method.

关键词： Estimation error Accuracy Neural networks Reinforcement learning Autonomous aerial vehicles Real-time systems Mathematical models Vectors State estimation Nonlinear systems

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Vision-Based Dexterous Motion Planning by Dynamic Movement Primitives with Human Hand Demonstration

Vision-Based Dexterous Motion Planning by Dynamic Movement P...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Nuo Chen Ya-Jun Pan Department of Mechanical Engineering Advanced Control and Mechatronics Lab Dalhousie University Halifax Canada

ISBN: (数字)9798350394085

ISBN: (纸本)9798350394092

This paper proposes a vision-based framework for a 7 -degree-of-freedom robotic manipulator, with the primary objective of facilitating its capacity to acquire information from human hand demonstrations for the execution of dexterous pick-and-place tasks. Most existing works only focus on the position demonstration without considering the orientations. In this paper, by employing a single depth camera, MediaPipe is applied to generate the three-dimensional real-world coordinates of a human hand, thereby comprehensively recording the hand’s motion, encompassing the trajectory of the wrist, orientation of the hand, and grasp motion. A mean filter is applied during data pre-processing to smooth the raw data. The demonstration is designed to pick up an object at a specific angle, navigate around obstacles in its path, and subsequently, deposit it within a sloped container. The robotic system demonstrates its learning capabilities, facilitated by the implementation of dynamic movement primitives, enabling the assimilation of user actions into its trajectories with different start and end points. Experimental studies are carried out to demonstrate the effectiveness of the work.

关键词： Wrist Navigation Robot kinematics Dynamics Robot vision systems Manipulators Trajectory

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Oxidation-induced superelasticity in metallic glass nanotubes

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Nature Materials 2024年第1期23卷 52-57页

作者： Li, Fucheng Zhang, Zhibo Liu, Huanrong Zhu, Wenqing Wang, Tianyu Park, Minhyuk Zhang, Jingyang Bönninghoff, Niklas Feng, Xiaobin Zhang, Hongti Luan, Junhua Wang, Jianguo Liu, Xiaodi Chang, Tinghao Chu, Jinn P. Lu, Yang Liu, Yanhui Guan, Pengfei Yang, Yong Department of Mechanical Engineering College of Engineering City University of Hong Kong Kowloon Tong Hong Kong Institute of Physics Chinese Academy of Sciences Beijing China Songshan Lake Materials Laboratory Dongguan China Beijing Computational Science Research Center Beijing China Department of Material Science and Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Materials Science and Engineering College of Engineering City University of Hong Kong Kowloon Tong Hong Kong College of Mechatronics and Control Engineering Shenzhen University Shenzhen China Department of Mechanical Engineering The University of Hong Kong Pok Fu Lam Hong Kong Department of System Engineering College of Engineering City University of Hong Kong Kowloon Tong Hong Kong

Although metallic nanostructures have been attracting tremendous research interest in nanoscience and nanotechnologies, it is known that environmental attacks, such as surface oxidation, can easily initiate cracking on the surface of metals, thus deteriorating their overall functional/structural properties 1–3. In sharp contrast, here we report that severely oxidized metallic glass nanotubes can attain an ultrahigh recoverable elastic strain of up to ~14% at room temperature, which outperform bulk metallic glasses, metallic glass nanowires and many other superelastic metals hitherto reported. Through in situ experiments and atomistic simulations, we reveal that the physical mechanisms underpinning the observed superelasticity can be attributed to the formation of a percolating oxide network in metallic glass nanotubes, which not only restricts atomic-scale plastic events during loading but also leads to the recovery of elastic rigidity on unloading. Our discovery implies that oxidation in low-dimensional metallic glasses can result in unique properties for applications in nanodevices. © 2023, The Author(s), under exclusive licence to Springer Nature Limited.

关键词： Metallic glass

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Mn-based MXene with high lithium-ion storage capacity

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Nano Research 2024年第5期17卷 4181-4191页

作者： Yanyan Wu Dongqing Liu Xiaonan Wang Usman Ghani Muhammad Asim Mushtaq Jinfeng Yang Huarui Sun Panagiotis Tsiakaras Xingke Cai School of Science and Ministry of Industry and Information Technology Key Laboratory of Micro-Nano Optoelectronic Information System Harbin Institute of Technology ShenzhenShenzhen 5180552 China Collaborative Innovation Center of Extreme Optics Shanxi UniversityTaiyuan 030006China Institute for Advanced Study Shenzhen UniversityShenzhen 518060China College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518060China Laboratory of Alternative Energy Conversion Systems Department of Mechanical EngineeringSchool of EngineeringUniversity of ThessalyPedion Areos 38834Greece

3d-transition metal(Fe,Co,Ni,and Mn)-based MXene materials have been predicted to demonstrate exceptional electrochemical performance because of their good electrical conductivity and the presence of metallic atoms with multiple charge ***,until now,there have been no reports on MXenes based on Fe,Co,Ni,and Mn,due to the lack of 3d-metal-layered ***,we successfully synthesized the first 3d-transition metal-based MXenes,Mn_(2)CT_(x) by exfoliating a layered precursor derived from the anti-perovskite bulk *** as-prepared Mn_(2)CT_(x) MXene nanosheets were employed as anode materials in lithium-ion batteries,which exhibited stable storage capacity of 764.7 mAh·g^(-1) at 0.5 C,placing its storage capacities at an upper-middle level compared with other reported MXene materials as well as other Mn-based anode ***,this study opens a new avenue for MXene research by synthesizing 3d-transition metal-based MXenes for electrochemical applications.

关键词： Mn_(3)GaC Mn_(2)CT_(x) MXenes lithium-ion battery anode materials negative fading capacity

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Intelligent On-Line System for Monitoring Technical Condition of High-Voltage Cable Couplings

Intelligent On-Line System for Monitoring Technical Conditio...

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2024 International Russian Smart Industry Conference, SmartIndustryCon 2024

作者： Gasiyarov, Vadim R. Voronin, Stanislav V. Radionov, Andrey A. Lyubimov, Ivan V. Evdokimov, Sergey A. Khramshin, Vadim R. Moscow Polytechnic University Department of Automation and Control Moscow Russia South Ural State University Department of Mechatronics and Automation Chelyabinsk Russia Power Engineering and Automated Systems Institute Nosov Magnitogorsk State Technical University Magnitogorsk Russia

ISBN: (纸本)9798350395044

The article provides the characteristics of the end cable couplings of the closed switchgear 110 kV at the electric steelmaking workshop of the metallurgical plant. The functions of the continuous technical condition monitoring system are substantiated, including continuous temperature monitoring and on-line registration of partial discharges in the insulation. The first function provides monitoring of the operational load, and the second has the maximum sensitivity for diagnosing defect propagation. A functional diagram of the developed intelligent on-line system for monitoring technical condition with digital signal transmission is provided. The choice of sensors and processor unit is justified. The authors consider the temperature control system of high-voltage equipment 'WDM-T', including a wireless sensor and an information receiver. The results of monitoring the thermal regime are provided, the advantages of partial discharge analysis are pointed out. The temperature trends of the end couplings included in the cable line phases are considered. The system is implemented on the closed switchgear 110 kV end couplings, its long-term operation has confirmed the effectiveness of technical condition monitoring. The developed system may be a component of an on-line cyberphysical system for monitoring the condition of high-voltage equipment in the electric steelmaking workshop. © 2024 IEEE.

关键词： Electric lines

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