2021 IEEE International Conference on Mechatronics and Automation (ICMA)最新文献

Fault Grouping Bias Strategy of Thrust Allocation for Dynamic Positioning Ship 动力定位船舶推力分配故障分组偏置策略

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512630

Fuguang Ding, Junfeng Zhang, Yuanhui Wang

{"title":"Fault Grouping Bias Strategy of Thrust Allocation for Dynamic Positioning Ship","authors":"Fuguang Ding, Junfeng Zhang, Yuanhui Wang","doi":"10.1109/ICMA52036.2021.9512630","DOIUrl":"https://doi.org/10.1109/ICMA52036.2021.9512630","url":null,"abstract":"In order to solve the problem of thrust allocation when the thruster fails during the dynamic positioning (DP) operation of surface ship, this paper proposes a grouping bias thrust allocation algorithm for the thruster in failure mode. Firstly, the performance parameter representing the fault condition was introduced into the objective optimization function to refine the fault condition and its corresponding constraints; Secondly, a minimum bias algorithm was proposed to improve the algorithm, which could avoid the thrusters to enter the thrust forbidden zone due to bias operation and improves the maneuverability of the ship; Finally, a novel thrust allocation strategy in different failure mode was designed by combining with minimum bias algorithm and grouping bias algorithm, which could take different groups to bias according to the failure mode of the thrusters. The simulation results showed that the proposed improvements and strategy could make the ship operate normally with thrusters failure, and ensure that the thrusters in other groups were not affected by the failure and worked smoothly.","PeriodicalId":339025,"journal":{"name":"2021 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123290891","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

Study on Contact Force Prediction for the Vascular Interventional Surgical Robot based on Parameter Identification 基于参数辨识的血管介入手术机器人接触力预测研究

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512714

Shuxiang Guo, X. Liao, Jian Guo

引用次数: 0

Research on Sonar Image Denoising Method Based on Fixed Water Area Noise Model 基于固定水域噪声模型的声纳图像去噪方法研究

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512575

Min Chen, Lei Li, Ze-long Li, Xiaomei Xie

{"title":"Research on Sonar Image Denoising Method Based on Fixed Water Area Noise Model","authors":"Min Chen, Lei Li, Ze-long Li, Xiaomei Xie","doi":"10.1109/ICMA52036.2021.9512575","DOIUrl":"https://doi.org/10.1109/ICMA52036.2021.9512575","url":null,"abstract":"Aiming at solving the problem that the imaging quality of underwater sonar is greatly affected by the noise of underwater environment, a sonar image denoising method based on the noise model of fixed water area is proposed. In this paper, the theoretical model of ambient noise in fixed water area is established, and the estimated parameters of the theoretical model are obtained through experimental tests. Then, these parameters are used as the key parameters of guided filtering based on frequency domain filtering pretreatment to denoise sonar image. The simulation results show that the proposed sonar image denoising method is superior to the traditional method in structural similarity(SSIM) and peak-signal-to-noise ratio(PSNR) compared with the traditional methods such as direct guided filtering, mean filtering and median filtering, at the same time, the image edge information and the clarity of the texture area are well maintained, which can effectively overcome the problem of texture loss and edge blurring caused by the traditional method. The research results of this paper have positive significance for improving the quality of sonar imaging in fixed waters.","PeriodicalId":339025,"journal":{"name":"2021 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126645695","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

An Evaluation of RGB-Thermal Image Segmentation for Snowy Road Environment 积雪路面环境下rgb热图像分割评价

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512708

Sirawich Vachmanus, Ankit A. Ravankar, T. Emaru, Yukinori Kobayashi

{"title":"An Evaluation of RGB-Thermal Image Segmentation for Snowy Road Environment","authors":"Sirawich Vachmanus, Ankit A. Ravankar, T. Emaru, Yukinori Kobayashi","doi":"10.1109/ICMA52036.2021.9512708","DOIUrl":"https://doi.org/10.1109/ICMA52036.2021.9512708","url":null,"abstract":"There has been significant progress in the field of autonomous vehicles in recent years. Many successful attempts to realize self-driving in urban areas have been possible due to the advancement in sensor technology and accelerated computing. However, several challenges exist to achieve autonomous driving in challenging scenarios such as in harsh weather. Inclement weather conditions such as rain, fog, or snow can severely hamper visibility and lead to accidents on the road. Particularly snowy road conditions are challenging due to the slippery road surfaces and hidden lane markings because of snow cover. Such conditions are challenging for autonomous vehicles because of the inability to track distinct visual features in such weather conditions. Most existing image segmentation methods that perform well in clear weather conditions fail in snowy environments. Due to the low gradient of color pixels, the snow-covered objects become a challenge to recognize. This work evaluates some of the state-of-the-art semantic segmentation methods for classifying snow road surfaces using RGB images. We present an entirely new dataset for feature classification in different light conditions (day and night). We tested several existing publicly available deep learning methods and evaluated their efficiency for feature detection in snow conditions. Notably, this work utilizes multiple inputs semantic segmentation techniques to classify snowy road conditions for snow removal machines. Human classification in snow cover is crucial for the safety during the operation of such machines. Therefore we utilize thermal maps and camera images to improve image segmentation efficiency in human detection during snow conditions. The results show that using a thermal map can improve human segmentation efficiency in a snowy environment, especially during the nighttime.","PeriodicalId":339025,"journal":{"name":"2021 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126748727","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

Code Summarizer 代码史书

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512639

Shreya R. Mehta, Sneha Patil, Nikita S. Shirguppi, V. Attar

引用次数: 0

A Basic Psychophysics Study of Sound Reliability Effects on Audiovisual Integration for Developing New Virtual Reality Device 新型虚拟现实设备开发中声音可靠性对视听集成影响的基础心理物理学研究

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512687

Hongtao Yu, Qiong Wu, Mengni Zhou, Qi Li, Jiajia Yang, Satoshi Takahashi, Y. Ejima, Jinglong Wu

{"title":"A Basic Psychophysics Study of Sound Reliability Effects on Audiovisual Integration for Developing New Virtual Reality Device","authors":"Hongtao Yu, Qiong Wu, Mengni Zhou, Qi Li, Jiajia Yang, Satoshi Takahashi, Y. Ejima, Jinglong Wu","doi":"10.1109/ICMA52036.2021.9512687","DOIUrl":"https://doi.org/10.1109/ICMA52036.2021.9512687","url":null,"abstract":"Although visual virtual reality performance was widely investigated by researchers, it remains unclear that whether semantic reliability of sound can also facilitate the visual virtual reality performance. We investigated the behavioral category performance of living and non-living outlined drawings accompany with a semantic reliable or unreliable sound. We evaluate the living and non-living picture category performance under three multisensory semantic conditions: semantic reliable, semantic unreliable and semantic control (mix with semantic reliable and semantic unreliable stimuli). The reaction time results showed that faster category speed for semantic reliable multisensory presentation condition compared with semantic unreliable multisensory presentation condition whatever the outlined drawing was living or non-living. Such result indicated the multisensory integration facilitate the visual category performance. Additionally, non-living category has a significant advantage than living picture category under semantic unreliable multisensory condition, indicated nonliving objects had robust multisensory representation compared with living objects. This study provided potential theory support for developing new audiovisual virtual reality device or application.","PeriodicalId":339025,"journal":{"name":"2021 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"301 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114584695","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

Robust Optimization Design of Gun Turret Structure for Lightweight 面向轻量化的火炮炮塔结构稳健优化设计

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512747

Yao Ge, Longmiao Chen, Jianhui Tan, Caicheng Yue

{"title":"Robust Optimization Design of Gun Turret Structure for Lightweight","authors":"Yao Ge, Longmiao Chen, Jianhui Tan, Caicheng Yue","doi":"10.1109/ICMA52036.2021.9512747","DOIUrl":"https://doi.org/10.1109/ICMA52036.2021.9512747","url":null,"abstract":"Aiming at the structural optimization problem of a gun turret, the robust optimization model of the turret structure is established. This model takes the thickness of structural rib plate as the design variable, the minimization of the structural mass of the turret as the objective, the maximum displacement and the lowest natural frequency as the constraints. It also considers the influence of the structural instabilities and employs the 6σ robust optimization design method. The samples are obtained by the experimental design method. The radial basis function neural network is used to construct the surrogate model of the turret structure. The precision of the surrogate model is measured by the determination coefficient R2 and the Mean of Normalized Absolute Error MNAE. Finally, the robust optimization results are obtained by using the combinatorial optimization algorithm composed of Particle Swarm Optimization (PSO) algorithm and Sequential Quadratic Programming-NLPQL. The calculation results show that the 6σ robust optimization design method can effectively ensure the robustness of the optimization results. The accuracy of the radial basis function neural network surrogate model can meet the optimization requirements. The mass of structure is reduced by 9.85% after optimization.","PeriodicalId":339025,"journal":{"name":"2021 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129858248","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 Variable Artificial Potential Field Method for Gait Generation of Quadruped Robot 四足机器人步态生成的可变人工势场法

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512753

Feng Zhuo, Wenchuan Jia, Shugen Ma, Jianjun Yuan, Yi Sun

引用次数: 1

Injection Molding of Cell Membrane Perforator with Photochemical Perforation Function and Surface Modification 具有光化学穿孔功能的细胞膜穿孔器的注射成型及其表面改性

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512635

Kohei Kobayashi, K. Imamura, Kiriro Suzuki, Koki Takemasa, T. Saito

引用次数: 1

A CMOS Soil Yeast Count to Frequency Converter for Sensing Yeast Count Applications 一种用于酵母计数检测的CMOS土壤酵母计数到频率转换器

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512809

C. Chiang, Chung-Yu Hsu, Yao-Chieh Huang

引用次数: 1