2022 IEEE International Conference on Mechatronics and Automation (ICMA)最新文献

Research on The Optimal Sound Path of LCR Wave Detection Method and The Optimal Thickness Range of The Tested Sample LCR波检测方法最优声路及被测样品最优厚度范围的研究

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856039

Q. Pan, Wei Li, Peilu Li, Lang Xu, Sa Li, Yunmiao Zhang, X. Zhou, Haoshen Yu

引用次数: 0

Design of Fatigue Grade Classification System Based on Human Lower Limb Surface EMG Signal 基于人体下肢表肌电信号的疲劳等级分类系统设计

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9855927

Kai Zhao, Jian Guo, Shuxiang Guo, Qiang Fu

{"title":"Design of Fatigue Grade Classification System Based on Human Lower Limb Surface EMG Signal","authors":"Kai Zhao, Jian Guo, Shuxiang Guo, Qiang Fu","doi":"10.1109/ICMA54519.2022.9855927","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9855927","url":null,"abstract":"With the deepening of the aging of China’s population, more and more people suffer from stroke. Stroke has three characteristics: high morbidity, high mortality, and high disability rate. At present, stroke has become one of the main causes of human death, and the population suffering from a stroke in China is gradually becoming younger, many patients can not work and live normally, destroying many happy families. However, stroke is not invincible. Once suffering from stroke, patients can still live and work independently as long as they actively carry out rehabilitation training. The surface EMG signal contains abundant physiological information and has remarkable effects on nerve rehabilitation and orthopedic rehabilitation. Patients with rehabilitation training less training can not play a rehabilitation effect, and excessive training is easy cause secondary injuries, therefore, this paper will design a fatigue state classification system based on surface EMG signals of human lower limb muscles, and analyze the fatigue state of patients’ lower limbs by collecting surface EMG signals of target muscles of human lower limbs, to ensure that patients can not only carry out effective training but also not cause secondary injuries due to excessive training.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115240396","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: 2

Study on Real-time Recognition of Underwater Live Shrimp by the Spherical Amphibious Robot Based on Deep Learning 基于深度学习的球形两栖机器人对水下活虾的实时识别研究

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856265

Shaolong Wang, Jian Guo, Shuxiang Guo, Qiang Fu, Jigang Xu

{"title":"Study on Real-time Recognition of Underwater Live Shrimp by the Spherical Amphibious Robot Based on Deep Learning","authors":"Shaolong Wang, Jian Guo, Shuxiang Guo, Qiang Fu, Jigang Xu","doi":"10.1109/ICMA54519.2022.9856265","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9856265","url":null,"abstract":"In this paper, spherical robots are used for the detection and identification of lobsters in aquaculture. Lobster farmers are often faced with tasks such as observation, feeding, and fishing, which are all done manually, with low efficiency and high operating costs. Therefore, this paper proposes a real-time underwater lobster detector based on Generative Adversarial Networks and Convolutional Neural Networks, implemented by a spherical amphibious robot. Firstly, the underwater lobster image dataset is established, and the improved GAN algorithm and data increment method are used for data enhancement preprocessing. Secondly, the single-shot multi-frame detector (SSD) is improved as follows, using the lightweight network MobileNetV2 as the backbone of the SSD network; in the network prediction layer, using depthwise separable convolution instead of standard convolution to accelerate inference; compressing the fully connected layer The parameters construct a lightweight model. Finally, the model is trained on the underwater lobster dataset and deployed on a spherical amphibious robot, and the changes in the loss function value during training before and after image enhancement and algorithm improvement are plotted. Two sets of experimental test results show that the model optimizes the target recognition accuracy of underwater lobsters, and the recognition accuracy reaches 90.32%. The reduced model size facilitates model deployment and is only 24MB in size. The model has good stability and high recognition accuracy in identifying lobsters in complex situations.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115312293","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

Design And Simulation Of Implantable Carotid Sinus Electrical Stimulator 植入式颈动脉窦电刺激器的设计与仿真

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856032

Pinzheng Ni, Haoyang Liu, H. Yuan, Mengqi Cheng, Nan Xiao

引用次数: 0

A Real-time Artificial Intelligence Recognition System on Contaminated Eggs for Egg Selection 一种用于虫卵选择的实时人工智能识别系统

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856045

C. Chiang, Yu-Hsiang Wu, Ching-Hsien Chao

引用次数: 1

Research on real-time positioning and map construction technology of intelligent car based on ROS 基于ROS的智能汽车实时定位与地图构建技术研究

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856339

R. Liu, Zhiwei Guan, Bin Li, Guoqiang Wen, B. Liu

引用次数: 0

Parameter Optimization of PID Controller Based on Improved Sine-SOA Algorithm 基于改进正弦- soa算法的PID控制器参数优化

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9855989

Ma You, Yanjuan Wu, Yunliang Wang, Xiyang Xie, Chen Xu

{"title":"Parameter Optimization of PID Controller Based on Improved Sine-SOA Algorithm","authors":"Ma You, Yanjuan Wu, Yunliang Wang, Xiyang Xie, Chen Xu","doi":"10.1109/ICMA54519.2022.9855989","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9855989","url":null,"abstract":"Aiming at the problem that the traditional PID controller was not ideal, the parameters could not be adjusted to the best state, and the control system could not achieve good control effect, an improved seagull optimization algorithm (SOA) based on improved Sine chaotic mapping was proposed to optimize the parameters of PID controller. Sine mapping strategy was adopted to make the initial seagull population evenly distributed in the search space, to improve the shortcomings of the seagull optimization algorithm, such as low solution accuracy, slow convergence speed and easy to fall into premature convergence, and improve the convergence speed and convergence accuracy of the algorithm. Eight standard test functions were tested, and the improved gull optimization algorithm was compared with the unimproved gull algorithm, particle swarm optimization algorithm (PSO), beetle antennae search algorithm (BAS), particle swarm optimization -beetle antennae search algorithm (PSO-BAS) and the seeker optimization algorithm (TSOA), to verify that the improved gull optimization algorithm has better optimization effect. The improved algorithm is applied to a second-order system and double closed-loop DC motor speed regulation system to optimize the parameters of PID controller. The results show that the algorithm has high precision, simple principle, better convergence precision and faster convergence speed.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117210749","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: 3

Study on Marine Diesel Engine Fault Identification Based on Neural Network 基于神经网络的船用柴油机故障识别研究

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856137

Defu Zhang, Tongyu Hou, J. Yang, Jianjiang Xiao

引用次数: 0

Periodic Event-Triggered Resilient Control for Multiarea Interconnected Power Systems under Denial-of-Service Attacks 拒绝服务攻击下多区域互联电力系统的周期性事件触发弹性控制

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856389

Qiang Gao, Ziyu Du, Yu Song, Yuehui Ji

引用次数: 0

Building-level Demand-side Energy Management Based on Game Theory 基于博弈论的建筑需求侧能源管理

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856118

Yang Zhang, Yunfei Ma, Shuang Zhang, Lixian Chen, Hongda Liu

引用次数: 0