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2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024

作者： Figueroa, Brayan S. Riano, Cristhian I. Pena, Cesar A. Alvares, Alberto University of Brasilia Department of Mechanical and Mechatronics Engineering Brasilia Brazil University of Pamplona Department Mechatronic Engineering Pamplona Colombia

ISBN: (纸本)9798350374575

This research project seeks to develop a measurement system compatible with digital technologies and based on artificial vision to operate within a closed-loop architecture that provides data to compensate for manufacturing errors. The main requirement for the measurement system is to determine both dimensional and geometric deviation errors in prismatic pieces. Initially, the variables involved in these measurement processes must be identified, the error determined, each measured feature digitally represented, applied through automatic feature recognition algorithms, and codified data transfer between CAD/CAM systems. The system must have a local measurement (in the machine) and the possibility of being used on site outside the machine. Data transfer should promote system integration and overcome interoperability barriers by using neutral languages to encode results. Finally, the results obtained are compared with the designed system and with the MITUTOYO M574 coordinate measurement machine. © 2024 IEEE.

关键词： Smart manufacturing

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Electro-humidity responsive soft actuators based on cellulose nanofibers-nanocrystals for bioinspired applications

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Science China Technological Sciences 2025年

作者： Fan WANG Ruibin QI Yujiao WU Qinchuan LI Junhui ZHANG Sukho PARK School of Mechanical Engineering Zhejiang Sci-Tech University State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST)

Multifunctional responsive actuators have garnered considerable attention for their potential applications in soft robots, wearable devices, smart displays, environmental sensing, and biomimetic systems. Herein, we present a multifunctional color-changing ionic soft actuator that integrates electrical actuation and humidity-induced color-changing functionalities,fabricated using carboxylated cellulose nanofibers, ionic liquids, polyvinyl alcohol, cellulose nanocrystals, and poly(ethylene glycol) diacrylate. The electro-humidity responsive actuator exhibited remarkable actuation performance, including a maximum tip displacement(10.2 mm), low driving voltage(as low as 1.0 V), high operational stability(95.2% reliability after 2000actuation cycles), broad working frequency range(0.2–3.0 Hz), and exceptional tolerance to humid environments(90% relative humidity). In addition, the actuator showcased reversible and integrated color-changing capabilities. These features enabled the design of innovative devices, such as biomimetic flowers and smart color-changing windows with tunable optical ***, this multifunctional actuator provides a promising platform for applications in soft robots, optical anti-counterfeiting systems, information storage materials, and intelligent home technologies.

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Real-time monitoring of fast gas dynamics with a single-molecule resolution by frequency-comb-referenced plasmonic phase spectroscopy

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PhotoniX 2024年第1期5卷 357-372页

作者： Duy-Anh Nguyen Dae Hee Kim Geon Ho Lee San Kim Dong-Chel Shin Jongkyoon Park Hak-Jong Choi Seung-Woo Kim Seungchul Kim Young-Jin Kim Department of Mechanical Engineering Korea Advanced Institute of Science and Technology(KAIST)Science TownDaejeon 34141South Korea Department of Mechatronic Engineering Faculty of Mechanical EngineeringHo Chi Minh City University of Technology(HCMUT)Vietnam National UniversityHo Chi Minh CityVietnam Department of Cogno-Mechatronics Engineering College of Nanoscience and NanotechnologyPusan National UniversityBusan 46241South Korea Department of Optics and Mechatronics Engineering College of Nanoscience and NanotechnologyPusan National UniversityBusan 46241South Korea School of Mechanical and Aerospace Engineering Nanyang Technological University(NTU)50 Nanyang AvenueSingapore 639798Singapore Institute of Machinery and Materials Nano-Convergence Mechanical Systems Research DivisionKorea156Gajeongbuk-RoYuseong-GuDaejeon 34103South Korea

Surface plasmon resonance(SPR)sensors are based on photon-excited surface charge density oscillations confined at metal-dielectric interfaces,which makes them highly sensitive to biological or chemical molecular bindings to functional metallic *** nanostructures further concentrate surface plasmons into a smaller area than the diffraction limit,thus strengthening photon-sample ***,plasmonic sensors based on intensity detection provide limited resolution with long acquisition time owing to their high vulnerability to environmental and instrumental ***,we demonstrate fast and precise detection of noble gas dynamics at single molecular resolution via frequency-comb-referenced plasmonic phase *** photon-sample interaction was enhanced by a factor of 3,852 than the physical sample thickness owing to plasmon resonance and thermophoresis-assisted optical confinement *** utilizing a sharp plasmonic phase slope and a high heterodyne information carrier,a small atomic-density modulation was clearly resolved at 5 Hz with a resolution of 0.06 Ar atoms per nano-hole(in 10^(11)RIU)in Allan deviation at 0.2 s;a faster motion up to 200 Hz was clearly *** fast and precise sensing technique can enable the in-depth analysis of fast fluid dynamics with the utmost resolution for a better understanding of biomedical,chemical,and physical events and interactions.

关键词： Frequency comb Nanohole array Single molecule detection Refractive index High resolution High speed Traceability to time standard

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EEG-TCF2Net: A Novel Deep Interval Type-2 Fuzzy Model for Decoding SSVEP in Brain-Computer Interfaces

EEG-TCF2Net: A Novel Deep Interval Type-2 Fuzzy Model for De...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Contreras, Marcelo Flores, Christian Andreu-Perez, Javier University of Alberta Node Lab at the Mechanical Engineering Edmonton Canada Utec Department of Mechatronics Engineering Lima Peru Utec Centro Bio Utec and Department of Electrical and Mechatronic Engineering Lima Peru University of Campinas DSPCom Laboratory from the Department of Electrical Engineering Campinas Brazil University of Essex Centre for Computational Intelligence Colchester United Kingdom

ISBN: (纸本)9781665410205

The Steady-State Visual Evoked Potential (SSVEP) is a robust method for creating a fast Brain-Computer Interface (BCI);however, the time window of Electroencephalography (EEG) trials has to be reduced to improve the BCI's speed. This reduction leads to a decrease in the Signal-to-noise ratio (SNR), making it more difficult to classify these signals accurately. Conversely, combining Fuzzy Neural Block (FNB) that includes Type-l Fuzzy (T1F) in deep learning architecture has improved classification accuracy over data obtained in noisy environments. However, T1F has limitations in accurately modeling uncertainty and handling complex systems compared to Interval Type-2 Fuzzy (IT2F), which is particularly suitable for applications where robustness, adaptability, and accuracy are crucial. In this work, we proposed a deep learning framework that integrates the FNB using IT2F called FNB- IT2F. It is included parallel to the linear and final layers to assess their effectiveness. Thus, this study presents a unification of EEG- TCNet-LSTM with FNB-IT2F, which we call EEG- TCNet-LSTM-FNB-IT2F (i.e. EEG- TCF2Net). Our results reported a maximum recog-nition accuracy of 51.0% to 76.5% using the proposed method of EEG- TCF2N et in a subject-independent classification across all 10 subjects for 0.2 to 0.5 s time window. Overall, including FNB- IT2F in this deep learning architecture outperformed those without it, as well as baseline methods such as Filter-Bank Canonical Correlation Analysis (FBCCA) [1] and Task-related component analysis (TRCA) [2]. © 2024 IEEE.

关键词： Brain computer interface

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Machine vision for the measurement of machining parameters: A review

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Materials Today: Proceedings 2022年 56卷 1939-1946页

作者： Hashmi, Abdul Wahab Mali, Harlal Singh Meena, Anoj Khilji, Irshad Ahamad Hashmi, Mohammad Farukh Saffe, Siti Nadiah binti Mohd Advanced Manufacturing and Mechatronics Lab Department of Mechanical Engineering Malaviya National Institute of Technology Jaipur302017 India Faculty of Manufacturing and Mechatronic Engineering Technology Universiti Malaysia Pahang Pekan26600 Malaysia Department of Electronics and Communication Engineering National Institute of Technology Warangal 506004 India

Machining parameters have significant value in manufacturing and machining industries as they result in quality and dimensional accuracy of the product. The machining parameters are measured using various machine vision systems. In this review, machine vision and its various procedures have been discussed that are used to measure machining parameters, i.e., tool condition monitoring (TCM) tool wear and surface characteristics like surface roughness, surface defects, etc. Nowadays, Tool condition monitor is a significant machining parameter is developed in manufacturing and machining industries. The development of various techniques of machine vision explore in tool condition monitoring is of significant interest because of the improvement of non-tactile applications and computing hardware. The review also discusses the enhancement of machine vision systems in tool condition monitoring. © 2021

关键词： Computer vision

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Artificial intelligence techniques for implementation of intelligent machining

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Materials Today: Proceedings 2022年 56卷 1947-1955页

For the past few years, the rapid progress and development of artificial intelligence (AI) based technologies have been analyzed for the applications of the intelligent manufacturing industry, i.e., industry 4.0. this has triggered a valuable transformation in means, models, and ecosystems within the manufacturing industry and AI development. With the advancement in manufacturing technology, there is a need to execute these technologies and AI more efficiently and cost-effectively. It can be possible by combining traditional manufacturing and machining technologies with recently developed intelligent manufacturing technologies comprising hardware and software techniques. This review paper discusses various AI implementation-based intelligent manufacturing industries with their architecture and technology systems based on the integration of AI with manufacturing and information communication. Furthermore, AI-based manufacturing application, their implementation, and current development in intelligent manufacturing have also been discussed. © 2021

关键词： Artificial intelligence

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Artificial Vision System for Digital Inspection of Dimensional and Geometric Measurements in Closed-Loop Manufacturing Architecture

Artificial Vision System for Digital Inspection of Dimension...

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Latin America Congress on Computational Intelligence (LA-CCI)

作者： Brayan S. Figueroa Cristhian I. Riaño Cesar A Peña C Alberto Alvares Department of Mechanical and Mechatronics Engineering University of Brasilia Brasilia Brazil Department Mechatronic Engineering University of Pamplona Pamplona Colombia

ISBN: (数字)9798350374575

ISBN: (纸本)9798350374582

关键词： Temperature measurement Coordinate measuring machines Measurement uncertainty Computer architecture Inspection Parallel processing Data transfer Manufacturing Calibration Wireless fidelity

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SELF-ALIGNMENT OF MICROSTRUCTURES USING LATERAL FLUIDIC FORCE BASED ON LOCAL SPATIAL ASYMMETRY 26

SELF-ALIGNMENT OF MICROSTRUCTURES USING LATERAL FLUIDIC FORC...

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26th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2022

作者： Yue, Tao Gu, Shenyu Zhang, Xinye Li, Long Zhang, Quan Fukuda, Toshio School of Mechatronics Engineering and Automation Shanghai University Shanghai China School of Mechatronic Engineering Beijing Institute of Technology Beijing China Department of Micro-Nano Systems Engineering Nagoya University Nagoya Japan

ISBN: (纸本)9781733419048

In this work, we present a method to achieve the self-alignment of microstructures in the self-assembly process using the lateral fluidic force generated by the local spatial asymmetry. This approach can effectively improve the precision and efficiency of the construction process for three-dimensional microstructures. © 2022 MicroTAS 2022 - 26th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Microstructure

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Error-modified Event-triggered Adaptive Robust Control f or Pneumatic Cylinders using Embedded Controller

Error-modified Event-triggered Adaptive Robust Control f or ...

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International Conference on Advanced Robotics and mechatronics (ICARM)

作者： Yitao Yao Guoliang Tao Ye Chen Department of Mechatronics engineering State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou CHN

ISBN: (数字)9798350385724

ISBN: (纸本)9798350385731

This technical essay introduces an innovative error-modified event-triggered adaptive robust control algorithm designed for pneumatic cylinder systems. Traditional control algorithms, as evidenced by prior literature, often rely on time-based methods that adjust the actuator’s output at fixed intervals, leading to redundant control outputs. In contrast, our approach delves into the utilization of the event-triggered strategy within the complex and nonlinear pneumatic system. While the event-triggered strategy presents advantages, it introduces the measurement error that can compromise tracking accuracy. To address this issue, we incorporate error-based additional robust terms to mitigate tracking errors. Through hardware-in-loop experimental validation, our results affirm that the error-modified event-triggered control algorithm not only reduces communication costs but also ensures superior tracking accuracy compared to the conventional adaptive robust controller.

关键词： Robust control Measurement errors Accuracy mechatronics Event detection Trajectory tracking Service robots Pneumatic systems Voltage control Industrial Internet of Things

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Kinematic Position and Orientation Analysis of a 4 DoF Orthosis for Knee and Ankle Rehabilitation 6

Kinematic Position and Orientation Analysis of a 4 DoF Ortho...

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6th International Conference on Robotics and Automation engineering, ICRAE 2021

作者： Ortiz-Zacarias, Jhon R. Valenzuela-Lino, Yadhira S. Asto-Evangelista, Joel Huamanchahua, Deyby Universidad Continental Department of Mechatronic Engineering Huancayo Peru Universidad Continental Department of Mechatronics Engineering Lima Peru

ISBN: (纸本)9781665406970

Nowadays, lower-limb orthoses facilitate various locomotion tasks for rehabilitation therapies that are repetitive and constant. Therefore, this research presents the kinematic analysis of a 4 DoF orthosis for knee and ankle rehabilitation. To obtain the kinematics of the axes, an analysis was performed from the biomechanical point of view, consequently, the Denavit-Hartenberg (D-H) method was used, which consisted of finding a homogeneous transformation matrix, followed by the orientation, position, and Euler angles;furthermore, the open-source software Jupiter (Phyton) was used as a testing tool. The homogeneous transformation matrix was obtained as a result and the simplification of the direct kinematic matrices was achieved. Finally, the direct kinematic analysis for a 4 DoF orthosis was established using the method of position (D-H), orientation, and Euler angles, which were very useful for the research. © 2021 IEEE.

关键词： Kinematics

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