2022 25th International Conference on Mechatronics Technology (ICMT)最新文献

Comparison of Different Types of Lens for Defect Detection of Inner Thread Based on Deep Learning 基于深度学习的不同类型内螺纹缺陷检测镜头的比较

2022 25th International Conference on Mechatronics Technology (ICMT) Pub Date : 2022-11-18 DOI: 10.1109/ICMT56556.2022.9997762

Lih-Ping Huang, Anh-Tuan Dang, Q. Hsu

引用次数: 0

Modeling and Feedback Linearization of an Electric Hovercraft for Path Tracking 电动气垫船路径跟踪建模与反馈线性化

2022 25th International Conference on Mechatronics Technology (ICMT) Pub Date : 2022-11-18 DOI: 10.1109/ICMT56556.2022.9997746

William Retnaraj, S. Sengupta, T. Dinh, J. Chong

引用次数: 0

An Improved Energy Management Strategy for Fuel Cell Hybrid Power System Based on Compensator Design of DC-DC Converters 基于DC-DC变换器补偿器设计的燃料电池混合动力系统能量管理改进策略

2022 25th International Conference on Mechatronics Technology (ICMT) Pub Date : 2022-11-18 DOI: 10.1109/ICMT56556.2022.9997745

H. Trinh, H-V-A Truong, K. Ahn

引用次数: 0

Image Tracking and Prediction of Offshore Tsunami with Particle Filters 基于粒子滤波的近海海啸图像跟踪与预测

2022 25th International Conference on Mechatronics Technology (ICMT) Pub Date : 2022-11-18 DOI: 10.1109/ICMT56556.2022.9997649

Miin-Jong Hao, Wen-Xin Hsu

{"title":"Image Tracking and Prediction of Offshore Tsunami with Particle Filters","authors":"Miin-Jong Hao, Wen-Xin Hsu","doi":"10.1109/ICMT56556.2022.9997649","DOIUrl":"https://doi.org/10.1109/ICMT56556.2022.9997649","url":null,"abstract":"In this paper, a particle filter based estimation and tracking method is developed as the auxiliary system to determine the trajectory of the float ball on offshore for tsunami detection. The computer vision techniques combined with the particle filtering algorithm have been successfully applied to the detection and recognition of a rapid moving object. For the nonlinear dynamics of tsunami, the trajectory tracking and detection of the tsunami is carried out by means of the camera image of floating balls on offshore. The round frame will be set up and the weight of each particle will be evaluated according to the assigned color values and the similarity degrees between particles are calculated following the prediction, updating, and resampling processes. Gradually the centroid of particles is recalculated after the resampling process that will close to the true object trajectory. Compare the updated trajectory to the reference level, an abnormal rise of the sea level can be detected and the tsunami warning can be issued such that people on coastal would be evacuated in time. Our simulation results show that the proposed algorithm is effective in detection and tracking the approaching waves of rapid rising.","PeriodicalId":217521,"journal":{"name":"2022 25th International Conference on Mechatronics Technology (ICMT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115524535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low-cost and sustainable Pick and Place solution by machine vision assistance 通过机器视觉辅助实现低成本和可持续的取放解决方案

2022 25th International Conference on Mechatronics Technology (ICMT) Pub Date : 2022-11-18 DOI: 10.1109/ICMT56556.2022.9997663

Elven Kee, Chong Jun Jie, Choong Zi Jie, Michael Lau

引用次数: 0

Automatic Generation of Personalized Golf Video Using Integrated Technologies and Methods 使用集成技术和方法自动生成个性化高尔夫视频

2022 25th International Conference on Mechatronics Technology (ICMT) Pub Date : 2022-11-18 DOI: 10.1109/ICMT56556.2022.9997719

Fu-Kuei Chen, Hsin-Piao Lin, Chao-Hsu Yang

引用次数: 0

Autonomous Boundary Detection Using Image Recognition for Robotic Lawn Mower 基于图像识别的割草机自动边界检测

2022 25th International Conference on Mechatronics Technology (ICMT) Pub Date : 2022-11-18 DOI: 10.1109/ICMT56556.2022.9997764

Meng-Huai Wu, Chia-Wei Chang, Jyh-Cheng Yu

{"title":"Autonomous Boundary Detection Using Image Recognition for Robotic Lawn Mower","authors":"Meng-Huai Wu, Chia-Wei Chang, Jyh-Cheng Yu","doi":"10.1109/ICMT56556.2022.9997764","DOIUrl":"https://doi.org/10.1109/ICMT56556.2022.9997764","url":null,"abstract":"Most robotic lawnmowers adopt buried metal wires to define their working area, which is labor and time-consuming. This study applies the fusion of multiple sensors, including an inertial measurement unit (IMU), wheel encoders, light detection and ranging (LiDAR), and an RGB-D camera, to automatically detect the boundary of the lawn and construct the navigation map. Visual simultaneous localization and mapping (vSLAM) are adopted based on an RGB-D camera. For the boundary pavement or obstacles lower or similar to grass height, a support vector machine (SVM) is applied to identify boundaries and obstacles and establish the augmented Octomap with virtual walls. A set of image processing methods is proposed to lower the computing load of the embedded system and transfer the image data into point cloud data to construct the navigation map. The robot operating system (ROS)-based control system of the prototype was built using the embedded system (Jetson Nano, NVIDIA; Santa Clara, CA, USA) and control boards (ARM STM32, STMicroelectronics; Geneva, Switzerland). The proposed method could be further used in the process of map construction and navigation.","PeriodicalId":217521,"journal":{"name":"2022 25th International Conference on Mechatronics Technology (ICMT)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123072426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Internal Temperature Variations of Lithium-Ion Batteries During Fast Charging 锂离子电池快速充电时内部温度变化分析

2022 25th International Conference on Mechatronics Technology (ICMT) Pub Date : 2022-11-18 DOI: 10.1109/ICMT56556.2022.9997706

Nessa Fereshteh Saniee, Nithin Somasundaran, B. Gulsoy, T. Vincent, M. Amor-Segan, J. Marco

{"title":"Analysis of Internal Temperature Variations of Lithium-Ion Batteries During Fast Charging","authors":"Nessa Fereshteh Saniee, Nithin Somasundaran, B. Gulsoy, T. Vincent, M. Amor-Segan, J. Marco","doi":"10.1109/ICMT56556.2022.9997706","DOIUrl":"https://doi.org/10.1109/ICMT56556.2022.9997706","url":null,"abstract":"One of the major challenges that limits the fast charging of Lithium-ion batteries is Lithium (Li) plating at low temperatures. To reduce Li-plating an increased environmental temperature is commonly used. However, the uncertainties in the measurement of key battery internal states such as temperature, is a limiting factor to find the best fast charging profile that considers battery performance, degradation, and safety of the electric vehicles (EVs). We have used our state-of-the-art instrumented cells equipped with internal data acquisition and microcontroller, forming smart cells, that enable sensor data to be transmitted via a USB to a data logger. We demonstrate here that commercially available 21700 format cells were successfully instrumented and gave direct information on internal temperature for continuous fast charging rates from C/2 to 2.5C. The internal temperature was found to be considerably higher than that of the surface of the cell (between 10 and 14°C at 2.5C charge rate). A gradient of up to 2°C was found between the positive and negative end of each cell that became more prominent for higher charge rates. Li-plating was detected for all C-rates below 25°C even though, the internal temperature rose above 30°C when the cells were charged at 2.5C with an ambient temperature of 0°C. At a higher ambient temperature of 40°C, the cell’s internal temperature rose (to ~62°C) beyond the safe limits defined by the manufacturer’s datasheet whilst the external temperature recorded (~52°C) was within the manufacturer’s defined safe operating limits.","PeriodicalId":217521,"journal":{"name":"2022 25th International Conference on Mechatronics Technology (ICMT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126974668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Intelligent Adjustment of Temperature Control Parameters Based on Deep Reinforcement Learning for Stretch Blow Molding Machine 基于深度强化学习的拉伸吹塑机温控参数智能调节

2022 25th International Conference on Mechatronics Technology (ICMT) Pub Date : 2022-11-18 DOI: 10.1109/ICMT56556.2022.9997684

Ping-Cheng Hsieh, Guan-Lin Su, Yi-Te Lin, Wei-Bo Lin

{"title":"Intelligent Adjustment of Temperature Control Parameters Based on Deep Reinforcement Learning for Stretch Blow Molding Machine","authors":"Ping-Cheng Hsieh, Guan-Lin Su, Yi-Te Lin, Wei-Bo Lin","doi":"10.1109/ICMT56556.2022.9997684","DOIUrl":"https://doi.org/10.1109/ICMT56556.2022.9997684","url":null,"abstract":"Stretch blow molding is the main technology used in the production of PET bottles. The stretch blow molding machine is usually composed of preform infeed system, transfer system, heating system, molding system, bottle discharge system, etc. Among them, the temperature control of the heating system is one of the key factors affecting the quality of PET bottle, especially in the face of the environmental temperature changes greatly between morning and evening in some seasons. The on-site operators of the stretch blow molding machine often need to adjust the infrared heating lamps in the heating system several times. The adjustment process is highly dependent on experience of the personnel. It has become a production challenge for the bottle manufacturers. Therefore, this paper takes the heating system of the stretch blow molding machine as the object and uses the deep reinforcement learning method to develop an intelligent adjustment technique of temperature control parameters. The proposed method can improve the problems such as the interference of environmental temperature changes and the aging variation of infrared heating lamps. The experimental results show that the proposed method can adjust the temperature control parameters automatically in the heating process to eliminate the effect of the environmental temperature change and to control the surface temperature of the preforms stably within ±3 °C of the target temperature (the requirement is within±5 °C).","PeriodicalId":217521,"journal":{"name":"2022 25th International Conference on Mechatronics Technology (ICMT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122192373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Steering Control of a Legged Walking Machine Composed of Many Leg Mechanism Units with 1DoF 由多腿机构单元组成的一自由度足式步行机的转向控制

2022 25th International Conference on Mechatronics Technology (ICMT) Pub Date : 2022-11-18 DOI: 10.1109/ICMT56556.2022.9997640

N. Iwatsuki, Soichiro Shikanai, Takuya Miyazaki

引用次数: 0