2022 IEEE International Conference on Mechatronics and Automation (ICMA)最新文献_第8页

Study on the Effect of Eddy Current for Inductive Angle Sensor with Resonant Structure 涡流对谐振结构电感式角度传感器影响的研究

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856108

Chengyu Hu, Zaimin Zhong, Junxing Li

引用次数: 0

Autoencoder and Deep Neural Network based Energy Consumption Analysis of Marine Diesel Engine 基于自编码器和深度神经网络的船用柴油机能耗分析

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856051

Defu Zhang, Kangli Wang, Jianfeng Gao, Xiuming Che

引用次数: 0

EEG based Mental Workload Assessment by Power Spectral Density Feature 基于功率谱密度特征的脑电脑力负荷评估

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856376

Yang Liu, Shanshan Shi, Yu Song, Qiang Gao, Zeyu Li, Haotian Song, Siyuan Pang, Dong Li

引用次数: 2

Deep learning based detection of plant nutrient deficiency symptom and design of multi-layer greenhouse system 基于深度学习的植物营养缺乏症检测及多层温室系统设计

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856335

Peijian Qu, Nan Liu, Zhengpeng Qin, Tianbo Jin, Hongze Fu, Zihao Li, Peisheng Sang

{"title":"Deep learning based detection of plant nutrient deficiency symptom and design of multi-layer greenhouse system","authors":"Peijian Qu, Nan Liu, Zhengpeng Qin, Tianbo Jin, Hongze Fu, Zihao Li, Peisheng Sang","doi":"10.1109/ICMA54519.2022.9856335","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9856335","url":null,"abstract":"In view of the current situation that the per capita cultivated land in agriculture is insufficient, the yield per mu is reduced and the degree of intelligence in the traditional greenhouse is low, A multi-layer intelligent farm with deep learning algorithm is proposed. Firstly, the overall design of the system is described in detail, including multi-layer greenhouse frame, water, fertilizer and medicine integrated machine, two-dimensional interpolation inspection robot, ventilation fan, fluorescent lamp, circulating water curtain; Secondly, the electrical system and cloud control system are designed. Finally, a deep learning network based on YoloV4-Tiny is installed on Raspberry PI to solve the image recognition problem of rose deficiency and insect pests. After a large number of experimental tests, it is found that the speed and accuracy of using YOLOV4-Tiny are improved compared with using YOLOV4. It solves the common problems of difficult to capture objects and slow recognition of features in other types of greenhouse systems, meets the requirements of ensuring good plant growth in different environments, and ensures the high quality and efficient operation of the greenhouse system.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":" 24","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132124290","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

GAN-DRSN based Inter-turn Short Circuit Fault Diagnosis of PMSM 基于GAN-DRSN的PMSM匝间短路故障诊断

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856224

Ming Li, Manyi Wang, Longmiao Chen, Liuxuan Wei

引用次数: 0

Improved Genetic Algorithm for Multi-agent Task Allocation with Time Windows 带时间窗的多智能体任务分配改进遗传算法

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856377

Juan Li, Ning Fang

引用次数: 2

Application of MODBUS Communication Protocol in Intelligent Prestress Tension Robot MODBUS通信协议在智能预应力张拉机器人中的应用

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856178

Xianhui Liu, Luyuan Liu, Jianqiang Li, Fan Yang

{"title":"Application of MODBUS Communication Protocol in Intelligent Prestress Tension Robot","authors":"Xianhui Liu, Luyuan Liu, Jianqiang Li, Fan Yang","doi":"10.1109/ICMA54519.2022.9856178","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9856178","url":null,"abstract":"The prefabricated concrete structure is conducive to the development of China’s building industrialization. It is one of the important directions for the development of China’s building structure, of which prestressed concrete structure is an important part of the prefabricated concrete structure. The key technology to achieve prestressed concrete is the tension of the prestressed steel strand. The tensioning process includes: 1 The prestressed steel strand penetrates the tension hole of the tensioning equipment. 2 the tensioning equipment continues to tension the prestressed steel strand. Among them, the perforation process of tension has always been manually realized. At present, industrial intelligence includes all walks of life, and equipment related to construction projects also conform to the development of intelligence. The intelligent tensioning robot proposed in this paper is based on the tensile equipment to add a robotic arm, sensors, etc., which can automatically find tensioning holes to facilitate the perforation process when the prestressed ribs are stretched, with the purpose of improving the efficiency of perforation, improving the safety of the tensioning process, and reducing the dependence of tensile construction on labor. In this article, the method of collecting anchor plate position information is introduced, and the modular program of MODBUS communication based on Delta PLC is provided.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133833628","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

Development of a Robotic Palpation System and Evaluation of the Burden to an Operator in the Palpation 机器人触诊系统的研制及触诊操作者负担的评估

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9855969

Taiga Kitano, Mina Asari, C. Ishii

{"title":"Development of a Robotic Palpation System and Evaluation of the Burden to an Operator in the Palpation","authors":"Taiga Kitano, Mina Asari, C. Ishii","doi":"10.1109/ICMA54519.2022.9855969","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9855969","url":null,"abstract":"In this paper, a laparoscopic surgical robot equipped with a new palpation system which can identify the location of an imitation tumor under use of a trocar was developed based on our previous studies. In robotic surgery, when palpation is performed under use of the trocar, it is difficult to realize force or tactile sense of the touched object because the forceps is affected by contact with the trocar. Therefore, cancelation of an influence of the trocar on the forceps was attempted by using the neural network which was previously trained the influence of the trocar on the forceps. In order to verify an effectiveness of the developed palpation system, location identification experiments were carried out for both longitudinal and lateral directions palpation, in which identification of location of the imitation tumor was attempted for 4 kinds of sample with each different tumor location, respectively. The results showed the effectiveness of the neural network, and identification error of location of the imitation tumor was less than 1mm. In addition, the physical burden added to the operator while performing palpation work using the developed palpation system was evaluated by comparison of the energy expenditure obtained through the analysis of expired gas under the following conditions; (a) only force feedback was conducted, (b) only tactile feedback was conducted, and (c) both force and tactile feedbacks were conducted. The result showed that the physical burden to the operator under the condition (c) was smallest.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132689185","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

Estimation of Local Height of Microstructure Based on Depth from Focus Method 基于聚焦深度法的微结构局部高度估计

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856152

Yuezong Wang, Lina Qiu, Haoran Jia

{"title":"Estimation of Local Height of Microstructure Based on Depth from Focus Method","authors":"Yuezong Wang, Lina Qiu, Haoran Jia","doi":"10.1109/ICMA54519.2022.9856152","DOIUrl":"https://doi.org/10.1109/ICMA54519.2022.9856152","url":null,"abstract":"In order to measure the height of local areas on the surface of microstructures, an efficient computational method based on image sequence sharpness retrieval is proposed. First, a small depth-of-field visual system of a few microns is formed using a zoom microscope lens and a high magnification objective lens, which is moved equidistantly along the longitudinal direction to acquire image sequences of the local surface of the silicon sphere. Then, each image sequence is preprocessed to remove some of the blurred interfering images. Finally, the sharpness of the image sequence is calculated. In the first step, the sharpness of the image sequence is calculated by various methods; in the second step, the sharpness data are analyzed and counted to find the location of the sharpest image, and the height of the location is acquired by a Z-axis translation stage with a longitudinal grating ruler to obtain the height of the local area on the surface of the microstructure corresponding to the sharpest image. The experimental results show that the accurate sharpest image in the image sequence can be obtained by using the method in this paper, and the retrieval accuracy reaches 99.40%, which is obviously better than the existing sharpness methods.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117158393","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

A carrier loop error compensation method for GNSS/SINS deep integration under high dynamics 高动态下GNSS/SINS深度集成的载波环路误差补偿方法

2022 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856395

Jiaxing Sun, X. Xiao, Hanling Li

引用次数: 0