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16th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2025

作者： Barcelos, Eduardo A. Campagnucci, Pamela R. A. N. Munoz, Daniel M. Amaral, Wellington A. Haddad, Sandro A. P. Mechatronics Graduate Program Faculty of Technology Department of Mechanical Engineering Electronics Engineering Undergraduate Program University of Brasilia Faculty of Gama DF Brasilia Brazil

ISBN: (纸本)9798331522124

With the advancement of semiconductor technologies, the need for efficient power management solutions in integrated systems, such as RISC-V architecture-based microcontrollers, becomes increasingly critical. However, there is a lack of studies comparing current reference architectures in terms of performance and robustness, particularly in 22nm technologies. In this paper, we present a comparative analysis of two current reference designs implemented in the same technology-referred to as Reference Design A and Reference Design B. We focus on their approaches to thermal compensation, supply stability, and layout optimizations. Through simulations and experimental tests, we evaluate the performance of each design within a power management system that includes DC-DC converters and LDO regulators. Our results indicate that Design A exhibits superior power supply rejection with a PSRR of -85 dB, while Design B demonstrates enhanced energy efficiency and thermal stability, achieving a nominal current of 5.14 μA and a temperature coefficient of 16.21 ppm. These findings underscore the importance of balancing energy efficiency, thermal stability, and power supply variation rejection when selecting current references for low-power, high-reliability applications, such as those in the Internet of Things (IoT). © 2025 IEEE.

关键词： Integrated circuit layout

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Small Sample Prediction of Wordle Games Based on Optimized Convolutional Neural Networks 3

Small Sample Prediction of Wordle Games Based on Optimized C...

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3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, CAMMIC 2023

作者： Mo, Xu Wang, Weizhi Yang, Shuaikang Wang, Yunxiang Geng, Yiming School of Mechatronics Engineering Henan University of Science and Technology Henan Luoyang471000 China

ISBN: (数字)9781510667617

ISBN: (纸本)9781510667600

The Wordle game was very popular after it was launched, attracting many players in the early stage. Under the rules of the game, the different characteristics of words may affect the distribution of scores in the different mode. The purpose of this report is to establish a model to study on the percentage distribution of attempts to submit reports. The innovation of this paper lies in the combination of convolutional neural network (CNN), bidirectional long and short term memory network (BiLSTM) and double attention mechanism (DA), and proposes a DCNN-BiLSTM network structure suitable for small sample prediction. Finally, a good prediction result is obtained. © 2023 SPIE.

关键词： Convolutional neural networks

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Numerical Analysis of Seal Force Under Brush Seal Hysteresis Effect 11th

Numerical Analysis of Seal Force Under Brush Seal Hysteresis...

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11th IFToMM International Conference on Rotordynamics, IFToMM 2023

作者： Wei, Yuan Ran, Xuhe Chen, Zhaobo Jiao, Yinghou School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China School of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9783031404580

Brush seal has certain advantages over traditional labyrinth seal. As the hysteresis characteristics of the brush seal is a key factor affecting its sealing performance, it is particularly important to conduct in-depth study on the seal force. This paper takes hysteresis as the premise of research, and establishes the model of brush seal force with whole circle bristles under the hysteresis considering the 3D bending of bristles, and set up the dynamic equation of brush seal force for whole circle bristles. This work further studies the influence of system parameters on the brush seal force under the hysteresis, and compares the influence of each system parameter on seal force. And then compared with the model without hysteresis to study the influence degree of hysteresis effect on seal force. The results show that the hysteresis has a great influence on the variation trend of brush seal force, and the seal force is much smaller when the hysteresis effect is taken into account than that not considered. The increase of bristle inclination is beneficial to increase the stability of the rotor system, but for the seal force on the rotor, the greater lay angle is not better. It is of great significance to study the seal force under the lag of brush seal to further understand the sealing characteristics of brush seal. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Seals

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DYNAMIC CHARACTERISTICS OF V-SHAPED POCKET BEARING UNDER THERMAL-MECHANICAL COUPLING EFFECT

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UPB Scientific Bulletin, Series D: Mechanical engineering 2024年第1期86卷 47-60页

作者： Huang, Jie Liu, Yanbin Li, Xuying Yang, Kun Ling, Jinbo School of Mechatronics Engineering Henan University of Science and Technology Henan Luoyang471003 China Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province Henan University of Science and Technology Henan Luoyang471003 China

Aiming at the problem of thermal deformation in bearing at high rotation speed, which affects the working accuracy of bearing, the influence of thermal-mechanical coupling on the dynamic characteristics of V-shaped pocket cylindrical roller bearing was studied. The heat transfer theory was used to establish the bearing thermal network model considering the V-shaped pocket, and the temperature of each node and the thermal deformation of each component were obtained. The bearing dynamics model considering thermal-mechanical coupling was established by combining with multi-body dynamics theory. The effect of the operating conditions on the thermal deformation of the V-shaped pocket was analyzed, and the evolution law of cage slip rate and the collision force between the roller and V-shaped pocket under the action of thermal-mechanical coupling was explored. The results indicate that under high rotation speed and light load, the influence of speed and load on the temperature rise and thermal deformation of the V-shaped pocket is relatively small. However, when the rotation speed is in the range of 18000~21000r/min, the cage slip rate decreases with the increase of speed, while when the load is in the range of 100~500N, the cage slip rate increases with the growth of load. In addition, the collision force between the roller and V-shaped pocket under the consideration of thermal deformation increases greatly compared with that without thermal deformation. © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Rollers (machine components)

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Research on Size Calibration Algorithm of Dark-field Flaw on Optics Surface Based on Convolutional Neural Network

Research on Size Calibration Algorithm of Dark-field Flaw on...

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2024 Applied Optics and Photonics China: Optical Sensing, Imaging technology, and Applications, AOPC 2024

作者： Wang, Bei Yin, Zhaoyang Zhou, Shicheng Zhao, Linjie Chen, Mingjun Cheng, Jian School of Mechatronics Engineering Harbin Institute of Technology Harbin China State Key Laboratory of Robotics and System Harbin Institute of Technology 150001 China

ISBN: (数字)9781510687820

ISBN: (纸本)9781510687813

Optics in high-power solid-state laser devices will be damaged and adhere to contaminates on the surface during manufacturing and operation, which reduces the service life. To facilitate the positioning and recognition of the flaw (damage and contaminates) in the process of automatic repair, the dark-field flaw size calibration algorithm was studied. In this paper, a flaw size calibration model based on convolutional neural network was established. The size, exposure time, and loss function of damage and contaminate were optimized respectively. The training parameter of the damage regression model is determined to be size of less than 500μm, 30ms of exposure time and SmoothL1 loss function, and the parameter of contaminate is 0-100μm, 20ms of exposure and SmoothL1 loss function. After data balancing, the calibration precision was improved. To improve the calibration consistency of the full-size segment, a comprehensive size calibration strategy is proposed. The CNN regression algorithm is used for small size, and the pixel-level calibration algorithm is used for large size. Compared with the single regression calibration algorithm, the relative error and absolute error of the calibration results of small damage ( © 2024 SPIE.

关键词： Solid state lasers

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Enhancing Machine Learning Capabilities in Injection Molded Part Quality Prediction Using Transfer Learning Models 26

Enhancing Machine Learning Capabilities in Injection Molded ...

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26th International Conference on mechatronics technology, ICMT 2023

作者： Huang, Ming-Shyan Chen, Chia-Chin National Kaohsiung University of Science and Technology Dept. of Mechatronics Engineering Kaohsiung Taiwan

ISBN: (纸本)9798350381429

Machine learning using quality indices does not require a large amount of data for model training to obtain accurate prediction results, which is conducive to the practical application of quality prediction in injection molding. However, previous approaches to model training were limited to case-by-case processing. When a new case emerges, data needs to be re-collected for training, which consumes a lot of time and cost. This study applies a transfer learning model to generate a quality prediction model based on the sensed in-mold pressure profile and features extracted from product quality. Later, in a similar situation, keeping the original model parameters, only a small amount of data is needed to update the model to perform the new goal. This study uses the weight prediction of two injection molded optical components of similar dimensions as a case study. Experimental results show that transfer learning saves model training time and demand for training data while achieving the desired goal. © 2023 IEEE.

关键词： Injection molding

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Degradation stage prediction of rolling bearing based on fuzzy correlation dimension and maximum entropy particle filter

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Hangkong Dongli Xuebao/Journal of Aerospace Power 2025年第6期40卷

作者： Cheng, Li Ma, Wensuo Gao, Zuobin School of Information Engineering Henan University of Science and Technology Henan Luoyang471023 China School of Mechatronics Engineering Henan University of Science and Technology Henan Luoyang471003 China

Considering the problem in calculating the correlation dimension using the hard threshold function that may lead to boundary disturbances, a fuzzy correlation dimension method was proposed and then used to extract the degradation features of rolling bearing. In view of the small sample prediction characteristics for the degradation stage of rolling bearing and the lack of confidence interval estimation for prediction results in traditional particle filtering, the maximum entropy particle filtering method was proposed. The experimental results showed that the fuzzy correlation dimension was consistent with the evolution trend of rolling bearing vibration signals, and can accurately extract the rolling bearing vibration performance degradation feature. Meanwhile, the average relative error of the proposed maximum entropy particle filter was only 1.31%, and the average absolute error was only 6.94, which was significantly lower than traditional particle filters and GM models. The added interval prediction function made the prediction results more diverse. © 2025 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.

关键词： Airships

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In-Situ Pt-Decorated,Direct Growth of Mixed Phase 2H/1T–MoSe_(2) on Carbon Paper for Enhanced Hydrogen Evolution Reaction

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Energy & Environmental Materials 2025年第2期8卷 183-191页

作者： Jong-Hwan Park Sun-Woo Kim So Young Lee Yuri Jung Jae-Chul Ro Seong-Ju Park Hyoung-Juhn Kim Dong Han Seo Su-Jeong Suh School of Advanced Materials Science and Engineering Sungkyunkwan UniversityGyeonggi-doSouth Korea Daegu Mechatronics&Materials Institute Daegu 42714Korea Energy Materials&Devices Department of Energy EngineeringKorea Institute of Energy Technology(KENTECH)Naju-si 58330Jeollanam-doSouth Korea

Metal dichalcogenide-based 2D materials,gained considerable attention recently as a hydrogen evolution reaction(HER)*** this work,we synthesized MoSe_(2)-based electrocatalyst via hydrothermal route with varying phase contents(1T/2H)and respective HER performances were evaluated under the acidic media(0.5 M H_(2)SO_(4)),where best HER performance was obtained from the sample consisting of mixed 1T/2H phases,which was directly grown on a carbon paper(167 mV at10 mA cm^(-2))Furthermore,HER performance of electrocatalyst was further improved by in-situ electrodeposition of Pt nanoparticles(0.15 wt%)on the MoSe_(2) surface,which lead to significant enhancement in the HER performances(133 mV at 10 mA cm^(-2)).Finally,we conducted density functional theory calculations to reveal the origin of such enhanced performances when the mixed 1T/2H phases were present,where phase boundary region(1T/2H heterojunction)act as a low energy pathway for H_(2)adsorption and desorption via electron accumulation ***,presence of the Pt nanoparticles tunes the electronic states of the MoSe_(2)based catalyst,resulting in the enhanced HER activity at heterointerface of 1T/2H MoSe_(2) while facilitating the hydrogen adsorption and desorption process providing a low energy pathway for *** results provide new insight on atomic level understanding of the MoSe_(2) based catalyst for HER application.

关键词： 2D materials electrocatalysis HER mixedphase MoSe_(2)

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Filtering in Projection-based Integrators for Improved Phase Characteristics 63

Filtering in Projection-based Integrators for Improved Phase...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Chu, Hoang Van Den Eijnden, S.J.A.M. Heertjes, M.F. Heemels, W.P.M.H. Eindhoven University of Technology Control Systems Technology Section Dept. Mechanical Engineering Netherlands Asml Mechatronics & Measurements Systems Veldhoven Netherlands

ISBN: (纸本)9798350316339

Projection-based integrators are effectively employed in high-precision systems with growing industrial success. By utilizing a projection operator, the resulting projection-based integrator keeps its input-output pair within a designated sector set, leading to unique freedom in control design that can be directly translated into performance benefits. This paper aims to enhance projection-based integrators by incorporating well-crafted linear filters directly into its structure, resulting in a new class of projected integrators that includes the earlier ones, such as the hybrid-integrator gain systems (HIGS), as special cases. The extra design freedom in the form of two filters in the input paths to the projection operator and the internal dynamics allows the controller to break away from the inherent limitations of a linear control design. The enhanced performance properties of the proposed structure are formally demonstrated through i) a describing function analysis, ii) mitigation of the gain-loss problem (occurring in, e.g., HIGS), and iii) numerical case studies showcasing improved time-domain properties. The describing function analysis is supported by rigorously showing incremental properties of the new filtered projection-based integrators, thereby guaranteeing the steady-state responses to be unique and asymptotically stable. © 2024 IEEE.

关键词： Describing functions

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Smart Embedded System for Accident Pre-Alert and Prevention Using Machine Learning 2

Smart Embedded System for Accident Pre-Alert and Prevention ...

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2nd International Conference on Artificial Intelligence and Machine Learning Applications, AIMLA 2024

作者： Shakunthala, M. Vimal Kumar, M.N. Dinesh Reddy, P. Pavan Reddy, P. Sai Sohith Reddy, P. R.M.D. Engineering College Department of Electronics and Communication Engineering Chennai India Sona College of Technology Department of Mechatronics Engineering Salem India

ISBN: (纸本)9798350349221

Road traffic accidents remain a significant global concern, necessitating innovative solutions for accident prevention. This paper introduces a Smart Embedded System for Accident Pre-Alert and Prevention Using Machine Learning (SESAPP) designed to mitigate road safety risks through real-time accident pre-alerts and prevention measures. SESAPP integrates various sensors, including heart rate, ultrasonic, MEMS, eye blink, and alcohol sensors, along with an Arduino Mega microcontroller for data acquisition and processing. Additionally, the system incorporates GPS and GSM modules for location tracking and communication. Python programming language, coupled with Random Forest and Linear Regression algorithms, is employed for data analysis and accident prediction. Experimental results demonstrate the effectiveness of SESAPP in enhancing road safety by accurately predicting potential accidents and triggering timely interventions. © 2024 IEEE.

关键词： Accident prevention

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