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Design and Finite Element Analysis of the Three Rings Gear Reducer 三环齿轮减速器的设计与有限元分析
2022 World Automation Congress (WAC) Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934763
Yuejin Liang, Jonathan M. Caballero, Ronaldo Juanatas, Y. Wei, Zhang Bao, Wang Jin
{"title":"Design and Finite Element Analysis of the Three Rings Gear Reducer","authors":"Yuejin Liang, Jonathan M. Caballero, Ronaldo Juanatas, Y. Wei, Zhang Bao, Wang Jin","doi":"10.23919/WAC55640.2022.9934763","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934763","url":null,"abstract":"Three section reducer plays an important role in various industries of heavy industry The research object is symmetrical three ring reducer. According to the basic parameter requirements, the important parts of the three rings gear reducer are calculated and designed, and the static analysis is carried out based on ANSYS Workbench. The calculation and simulation results show that the structure of the designed the three rings gear reducer can meet the application requirements.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123200752","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
Construction of Intelligent Evaluation System for Video Content Based on Big Data in the Context of 5G1 5G1背景下基于大数据的视频内容智能评价体系构建
2022 World Automation Congress (WAC) Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934191
Dianyi Wu, Siwei Long, Yan Zhou, Sucheng Chen
{"title":"Construction of Intelligent Evaluation System for Video Content Based on Big Data in the Context of 5G1","authors":"Dianyi Wu, Siwei Long, Yan Zhou, Sucheng Chen","doi":"10.23919/WAC55640.2022.9934191","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934191","url":null,"abstract":"With the development of 5G technology, content is no longer closed and one-dimensional. Openness, sharing and co-construction, and multilateral cooperation have become common phenomena in content production, transmission, distribution, and trading. The survival rules of the traditional content industry have emerged. However, the original evaluation mechanism cannot adapt to the needs of the current open and massive content industry. Therefore, the author tried to propose a content evaluation model based on big data.In this study, the author first sorted out the changes in the content industry, proposed that the current mature big data industry provides a technical basis for the implementation of content evaluation models, and further proposed the basic principles that the content evaluation model should meet, and build on this basis A content evaluation model composed of three-dimensional data is adopted. Through flexible processing of three-dimensional data, different requirements for evaluation in various links of the content industry can be realized.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117215794","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 Development of Wiping Rehabilitation System Using Leap Motion for Patients With Upper Limb Paralysis 上肢瘫痪患者跳跃运动擦拭康复系统的研制
2022 World Automation Congress (WAC) Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934258
K. Nagamune, Masafumi Kubota, Hideaki Matsuo, Yuta Mifuku
{"title":"A Development of Wiping Rehabilitation System Using Leap Motion for Patients With Upper Limb Paralysis","authors":"K. Nagamune, Masafumi Kubota, Hideaki Matsuo, Yuta Mifuku","doi":"10.23919/WAC55640.2022.9934258","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934258","url":null,"abstract":"The development of medical technology and medical devices has extended the lifespan of many people, but it has caused problems in an aging society. Elderly people are more likely to suffer injuries due to age-related muscle weakness and cerebrovascular diseases such as stroke occur at a higher rate in the elderly. These injuries and illnesses are known to cause motor dysfunction as a sequela. Motor dysfunction affects daily movements. Therefore, the importance of rehabilitation to recover motor dysfunction is increasing. In addition, rehabilitation of the elderly takes longer time to recover than that of the young. Therefore, physical therapists and occupational therapists require a lot of time to monitor and support patient rehabilitation, which is a heavy burden. In addition, the course of treatment is often performed based on the subjectivity of the they, and it is not possible to know the quantitative results. Elderly people who need long-term rehabilitation are more likely to lose motivation, and it is thought that knowing the progress of treatment will keep the motivation. Some rehabilitation simulations have been developed to solve these problems. In this study, we developed a virtual wiping rehabilitation system using Leap Motion and studied its effectiveness. In this experiment, we measured with the right and left hands with the range of motion. The measurement items are the position of the hand, the pressure that the hand exerts on the desk, and the end time of rehabilitation. In the experiment, it was possible to measure the movement of each hand under different conditions. Differences could be observed in both the completion time and the hand motions required to complete the wiping task.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117321232","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
Research and Practice on the construction of deep learning algorithm experimental platform 深度学习算法实验平台构建的研究与实践
2022 World Automation Congress (WAC) Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934376
Hehai Yu
{"title":"Research and Practice on the construction of deep learning algorithm experimental platform","authors":"Hehai Yu","doi":"10.23919/WAC55640.2022.9934376","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934376","url":null,"abstract":"This paper studies the research and practice of the construction of deep learning algorithm experimental platform. The research and practice of the construction of deep learning algorithm experimental platform is a project aimed at developing a software platform for the research and practice in the field of deep learn-ing. The main purpose of this platform is to promote communication with researchers, developers, students and practitioners from all over the world. Through this platform, we hope to improve our understanding of alu-minum technology and its applications. Deep learning is machine learning based on artificial neural network. Machine learning methods can also be divided into su-pervised learning and unsupervised learning. For exam-ple, convolutional neural network is a machine learning model under supervised learning, and deep confidence network is a machine learning model under unsupervised learning.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133491967","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 billboard recognition system based on deep learning neural network 基于深度学习神经网络的广告牌识别系统的设计与实现
2022 World Automation Congress (WAC) Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934490
Bing Li
{"title":"Design and implementation of billboard recognition system based on deep learning neural network","authors":"Bing Li","doi":"10.23919/WAC55640.2022.9934490","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934490","url":null,"abstract":"This paper studies the design and implementation of billboard recognition system based on deep learning neural network. Billboard recognition system is based on neural network. The main idea behind the system is to identify billboards by using a set of image features. These functions are used to train neural net-works, so it can also be applied to other applications. What are the benefits of using neural networks? Compared with traditional methods (such as regression analysis and clustering algorithms), neural networks have many advantages because they can provide better results at lower computational cost than these methods. The billboard recognition system is based on neural network. Neural network architecture of billboard recognition system in this paper, we will discuss how to use python programming language to create a neural network for recognizing images and texts. We will also learn how to train neural networks using a back propagation algorithm with an example data set and a 94% accuracy score.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133976805","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
Mining and Analysis of Power Data Models Based on Neural Network Prediction 基于神经网络预测的电力数据模型挖掘与分析
2022 World Automation Congress (WAC) Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934481
Shaodong Zhao
{"title":"Mining and Analysis of Power Data Models Based on Neural Network Prediction","authors":"Shaodong Zhao","doi":"10.23919/WAC55640.2022.9934481","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934481","url":null,"abstract":"In recent years, with the transformation of our country’s economic structure, the consumption level of residents has gradually increased, and the volume of various consumer credit businesses of commercial banks has increased sharply, which has made the bank’s risk management and control work facing huge challenges. Traditional risk assessment methods mainly rely on the market experience of credit personnel. The results of risk assessment are greatly affected by personal subjective factors. In addition, in the face of increasing data volume and business volume, traditional assessment methods are inefficient, have long business cycles, and are accurate. It is difficult to guarantee. Therefore, this article aims to study the application of electricity data in personal credit risk assessment of commercial banks. On the basis of analyzing the causes of personal credit risk, the characteristics of personal credit risk and the application of electricity data in personal credit risk assessment, a personal credit assessment model is established through the data mining method of neural network, and the model is predicted. The prediction results show that the overall prediction accuracy rate of the model on the training data set is 86%, and the prediction accuracy rate of the test data set is 78%. The neural network model has high prediction accuracy, low data requirements and good results.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129921273","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 of English Online Learning Platform Based on Deep Learning Technology 基于深度学习技术的英语在线学习平台设计
2022 World Automation Congress (WAC) Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934238
B. Liu
{"title":"Design of English Online Learning Platform Based on Deep Learning Technology","authors":"B. Liu","doi":"10.23919/WAC55640.2022.9934238","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934238","url":null,"abstract":"The rise of online education enables us to break through the limitation of space and time, and study with low cost and high efficiency, which has a great impact on traditional education. In the case that traditional education has not been completely replaced, it will form complementary advantages with traditional education, bringing a good situation for the education industry. This paper conducts research on the English online learning platform based on deep learning technology, introduces the deep learning model into the English online learning platform for personalized service, so as to improve students' English learning ability, and tests the designed platform through experiments. Through the test of the platform response time, it can be seen that the response time of the platform is controlled within 6s, which basically meets the design requirements of the platform. It can be seen from the evaluation of the use of the platform that the platform still has some deficiencies, mainly manifested in the complicated function of the platform design.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130973885","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
Risk Assessment of Smart Coal Mine Safety Mining Based on BIM 基于BIM的智能煤矿安全开采风险评估
2022 World Automation Congress (WAC) Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934120
Xiao Wang
{"title":"Risk Assessment of Smart Coal Mine Safety Mining Based on BIM","authors":"Xiao Wang","doi":"10.23919/WAC55640.2022.9934120","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934120","url":null,"abstract":"Coal is an important basic energy source in our country, accounting for about 70% of the total energy, and its development prospects are very broad. Our country has abundant coal reserves, and 95% of coal mining is underground operations. Although major accidents have declined in the past two years, the safety production situation in our country's coal mines is still severe, with a large number of casualties every year. The BIM technology, which is currently in the research and promotion stage, provides an effective way to solve such problems. Promoting the application of BIM technology will be the trend of future development. However, the research on coal mining risk assessment is relatively lagging, and most of the original evaluation methods are not suitable for complex coal mine systems. Therefore, this article is mainly based on BIM-based smart coal mine safety mining RA (Risk Assessment) research. First of all, the analysis of the current situation of coal safety issues shows that the situation of CM (coal mine) safety production in our country is still very severe. Secondly, analyzed the impact of BIM on coal mining RA. The results show that 41% of people believe that BIM technology can improve the accuracy of RA. 37% also pointed out that the application of BIM technology to coal mining RA can help save companies' capital cost.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133265319","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
Application of Artificial Intelligence Technology in the Electronic Information Age 人工智能技术在电子信息时代的应用
2022 World Automation Congress (WAC) Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934532
Xiaogang Gong, Qing Cheng, Xin Wu, Jiayi Wang, Zhuming Feng
{"title":"Application of Artificial Intelligence Technology in the Electronic Information Age","authors":"Xiaogang Gong, Qing Cheng, Xin Wu, Jiayi Wang, Zhuming Feng","doi":"10.23919/WAC55640.2022.9934532","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934532","url":null,"abstract":"With the rapid development of artificial intelligence (AI) technology, mankind has gradually entered the information society, and people are increasingly inseparable from AI technology (AIT) in their daily lives. It provides a lot of convenience for our lives. At the same time, the application of AIT in the electronic information age (EIA) has brought many new opportunities to many important fields, and it is also a very valuable tool for improving the outlook of the world. This article studies the application of AIT in the EIA, and aims to understand AIT and the problems existing in AIT in the EIA. How to give full play to the advantages of AIT and better apply it in the EIA. This article mainly uses statistical analysis and experimental research methods to analyze the application of AIT in the EIA. The survey results show that the surveyed population has a high acceptance of using AIT, and most people believe that the development of AIT in the EIA is very promising. Therefore, it is necessary to study the application of AIT in the EIA.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133686367","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
Research on Algorithm of big data sensor anomaly diagnosis 大数据传感器异常诊断算法研究
2022 World Automation Congress (WAC) Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934257
Wenying Qiu, Weixi Gu
{"title":"Research on Algorithm of big data sensor anomaly diagnosis","authors":"Wenying Qiu, Weixi Gu","doi":"10.23919/WAC55640.2022.9934257","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934257","url":null,"abstract":"With the decrease of sensor cost and the increase of performance, the application of sensor is becoming more and more popular. Sensors in different locations and devices produce different data streams. We expect to analyze the data or events we are interested in in in real time from these data streams. With the increase of the number of sensors, a large number of sensors are organized into the form of networks. How to carry out data mining in sensor network data stream will bring a new challenge. As one of the most important data flow technologies, sliding window technology has been widely studied and applied. By accurately estimating the data distribution in the sliding window, we can carry out anomaly detection and other important applications.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116249233","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
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