2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)最新文献_第3页

Kinematics Analysis of a Fully Driven Single Pendulum Spherical Mobile Robot 全驱动单摆球形移动机器人运动学分析

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046480

Minggang Li, Hanxu Sun, Long Ma, Ping Sun

引用次数: 0

A Two-phase Type Identification and Subclass Classification Model for Glass Artifacts 玻璃制品的两阶段类型识别与子类分类模型

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046522

Yutong Li, Zerui Xu, Mizi Sun, Tao Liu, Zheng Chen, R. Qiu

{"title":"A Two-phase Type Identification and Subclass Classification Model for Glass Artifacts","authors":"Yutong Li, Zerui Xu, Mizi Sun, Tao Liu, Zheng Chen, R. Qiu","doi":"10.1109/ICARCE55724.2022.10046522","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046522","url":null,"abstract":"This paper focuses on the type identification and subclass classification of glass based on the chemical composition data of glass artifacts. While many papers have been conducted from the perspective of chemistry majors based on direct machine detection of chemical substances, this paper focuses on the analysis of data on the properties and chemical composition of glass artifacts based on mathematical modeling to develop a two-phase model for glass type identification and subclass classification. Since the application scenario of the model is archaeological species of ancient glass, the glass types considered in this paper are high potassium glass and lead-barium glass, which were widely circulated in ancient China and surrounding countries. Phase I was based on binary logistic regression to determine whether the type of glass artifacts belonged to high potassium glass or lead-barium glass. After testing the test set, the accuracy of type discrimination was 94%. The second phase utilizes SPSS based hierarchical clustering algorithm for subclassification. After that, the appropriate number of subclasses to be divided can be derived based on the folded graph of clustering coefficients derived from the elbow rule. Finally, this paper presents an accuracy test of the model through test subsets and suggests that the idea of using mathematical-statistical modeling methods to analyze the chemical composition of substances can be extended to the studies related to the chemical composition analysis of all artifacts.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123467699","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

Speech Recognition Model of Civil Aviation Radiotelephony Communication Based on Improved Conformer 基于改进改进型的民航无线电话通信语音识别模型

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046493

Ze-ping Xiao, Guimin Jia, Bo Shi

{"title":"Speech Recognition Model of Civil Aviation Radiotelephony Communication Based on Improved Conformer","authors":"Ze-ping Xiao, Guimin Jia, Bo Shi","doi":"10.1109/ICARCE55724.2022.10046493","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046493","url":null,"abstract":"Radiotelephony communication has a special grammatical structure and pronunciation, and it is difficult to apply the model of generic speech recognition directly to the field of radiotelephony communication. We propose a Conv1DSlide-Conformer model for speech recognition of radiotelephony communication. The sliding-window attention mechanism is used instead of the self-attention mechanism to improve the decoding speed of the model and increase the adaptability of the model to radiotelephony communication. The convolutional module is used instead of the feedforward neural network module to make the encoder focus more on local information. The improved Conformer model processes the FBANK features of radiotelephony communication and can extract high-dimensional features that better fit the characteristics of radiotelephony communication. The use of concatenated temporal classification (CTC) combined with a data augmentation strategy assists training to speed up convergence during model training and reduce the complexity of model training. Decoding is assisted by CTC and language models to improve the performance of speech recognition. The experimental results show that the improved Conformer speech recognition model in this paper reduces the word error rate to 8.1% and 7.8% on the actual Chinese radiotelephony communication speech dataset.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121047123","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

Enterprise Pollution Emission Monitoring System Based on Deep Learning of Power Data 基于电力数据深度学习的企业污染排放监测系统

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046638

Lin Zhao, H. Wang, Zhen-Yu Zhang, Shu-Ming Feng, W. Gu, Xu Shi, Jialiang Miao

{"title":"Enterprise Pollution Emission Monitoring System Based on Deep Learning of Power Data","authors":"Lin Zhao, H. Wang, Zhen-Yu Zhang, Shu-Ming Feng, W. Gu, Xu Shi, Jialiang Miao","doi":"10.1109/ICARCE55724.2022.10046638","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046638","url":null,"abstract":"The current situation of polluting enterprises is that they are numerous and widely distributed. The traditional supervision means only have regular inspection and public reporting, which is difficult to achieve effective monitoring. Based on the existing hardware of intelligent electricity meters, combined with Internet of things technology, Convolution Recurrent Neural Network, Long Short-Term Memory and other technologies, we build an automatic monitoring system for pollution enterprises based on power data. The system can automatically identify different types of equipment according to the load characteristics. By comparing and analyzing the operation of the enterprise’s pollutant production equipment and pollutant treatment equipment, it can detect the illegal sewage discharge behavior of enterprises in time. The experimental verification shows that the overall recognition mean square error of the model is only 0.5, and the accuracy of the model is higher than that of RNN model and LSTM model. The system can accurately and timely detect violations, filling the regulatory loopholes of the Environmental supervision department for enterprises.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123834951","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

Adaptive Position and Attitude Trajectory Tracking Control for a Quadrotor UAV 四旋翼无人机自适应位置姿态轨迹跟踪控制

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046429

Yixuan Tian, Chen Li, Wenshang Yu, Jing-Jing Xiong

引用次数: 1

Analytical Calculation of Magnetic Field in 2-Pole Parallel Magnetized Permanent Magnet Machines 两极并联磁化永磁电机磁场解析计算

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046654

Yanyan Zhang, S. Wang, Yimeng Yu, Sisi Chen

{"title":"Analytical Calculation of Magnetic Field in 2-Pole Parallel Magnetized Permanent Magnet Machines","authors":"Yanyan Zhang, S. Wang, Yimeng Yu, Sisi Chen","doi":"10.1109/ICARCE55724.2022.10046654","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046654","url":null,"abstract":"To obtain some performances of 2-pole parallel magnetized permanent magnet (PM) machines quickly, a subdomain method to calculating the open-circuit magnetic field in such machines is proposed. According to material and structural characteristics, we can divide the solution region into three parts having regular shapes. The permanent magnet is the first subdomain and the air-gap is the second subdomain and the stator slots is the third subdomain. Each subdomain is expressed by corresponding governing function in polar coordinate system. The governing functions in those subdomains are solved by variable separation method to obtain the expressions of vector potential distribution and then the field solutions are obtained using interface conditions between the subdomains. Taking a 2-pole/12-slot parallel magnetized prototype permanent magnet machine as example, the flux density in each subdomain is solved via the proposed subdomain method and the predictions are validated through corresponding finite element (FE) method. The verification results illustrate that the subdomain method can solve the open-circuit magnetic field precisely in slotted 2-pole parallel magnetized PM machines.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125910478","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

Knowledge Base Personalized Updation Based on User Profile 基于用户配置文件的知识库个性化更新

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046481

Beiting Yi, Z. Liu

引用次数: 0

VINS-Mask: A ROI-mask Feature Tracker for Monocular Visual-inertial System vin -mask:一种用于单目视觉惯性系统的ROI-mask特征跟踪器

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046501

Jiayu Sun, Fangwei Song, Luping Ji

引用次数: 0

An Improved Optimal Trajectory Planning Method of Six-axis Robotic Manipulators along Prescribed Path Constraints 一种改进的六轴机器人沿规定路径约束的最优轨迹规划方法

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046474

Z. Xiong, Liping Chen, J. Ding

{"title":"An Improved Optimal Trajectory Planning Method of Six-axis Robotic Manipulators along Prescribed Path Constraints","authors":"Z. Xiong, Liping Chen, J. Ding","doi":"10.1109/ICARCE55724.2022.10046474","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046474","url":null,"abstract":"Optimal Control Problem (OCP) is a kind of classical problem with the state space equations, containing the optimal trajectory planning problem of robotic manipulators with complicated path constraints. The optimal control method (OCM) which contains direct and indirect methods is efficient to solve this kind of problems. The Pontryagin maximum principle is the core of the indirect method which includes tedious mathematical derivations, and is hard to work with the complex mechanical system. As the result, the direct methods represented by direct collocation method (DCM) are widely used in the engineering field. They transform the original optimal control problem to nonlinear programming problems (NLP), so that the general NLP solver can be used. There are mainly three different methods based on the above direct methods, including convex optimization (CO) methods, numerical integration (NI) methods and dynamic programming (DP) methods. This paper proposes a brand new idea which can streamline the problem description compared to the CO method, extend the general objective function compared to the NI method, and reduce the cost of storage compared to the DP method, and provides a feasible local optimal solution for the problem. In addition, the simulation experiment satisfies the kinodynamic constraints properly, and the validity of the proposed method is confirmed.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125611992","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 Implementation of MobileRobot Navigation System Based on ROS Platform 基于ROS平台的移动机器人导航系统设计与实现

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046597

Zhe-Kun Jin, Weihua Zhou

引用次数: 2