Automation and machine learning最新文献

Design and Application of ElasticSearch Cluster Automated Operation and Maintenance Management System Based on Tianjing DevOps Platform 基于天津DevOps平台的ElasticSearch集群自动化运维管理系统设计与应用

Automation and machine learning Pub Date : 2023-01-01 DOI: 10.23977/autml.2023.040301

引用次数: 0

Three-dimensional Digital Reconstruction and Application of AR_MR Technology in Medicine 三维数字重建及AR_MR技术在医学中的应用

Automation and machine learning Pub Date : 2023-01-01 DOI: 10.23977/autml.2023.040202

{"title":"Three-dimensional Digital Reconstruction and Application of AR_MR Technology in Medicine","authors":"","doi":"10.23977/autml.2023.040202","DOIUrl":"https://doi.org/10.23977/autml.2023.040202","url":null,"abstract":"With the rapid development of modern medical technology, the training of medical imaging professionals is changing with each passing day, and science and technology are developing rapidly, especially 3D digital reconstruction and AR_MR technology are applied to medical clinic and medical education. With the continuous transformation of medical technology mode, it is the most important problem for modern medical technology to discuss how 3D digital reconstruction and AR_MR technology can better meet the convenience characteristics and connotation of early diagnosis and treatment. Aiming at the discussion of 3D digital reconstruction and AR_MR technology, this paper applies 3D digital reconstruction and AR_MR technology to many technologies and directions in medicine. Combining with practical medical application and continuous exploration, this study systematically analyzes the application of AR_MR technology and 3D digital reconstruction technology in medicine, which proves the operability, feasibility and sustainable development of 3D digital reconstruction and AR_MR technology in medical technology. It provides a new idea and perspective for the development of modern virtual imaging and the integration of virtual reality technology and medicine.","PeriodicalId":474230,"journal":{"name":"Automation and machine learning","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135498434","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

Computer Aided Foreign Language Translation Optimization Algorithm Based on Human-computer Interaction 基于人机交互的计算机辅助外语翻译优化算法

Automation and machine learning Pub Date : 2023-01-01 DOI: 10.23977/autml.2023.040201

{"title":"Computer Aided Foreign Language Translation Optimization Algorithm Based on Human-computer Interaction","authors":"","doi":"10.23977/autml.2023.040201","DOIUrl":"https://doi.org/10.23977/autml.2023.040201","url":null,"abstract":"Machine translation technology has made great progress in the past few decades, especially the proposal of statistical machine translation technology. If the meaning of the translation can be roughly understood in a limited field of some specific languages, it can be said that it has not reached the level of correctly expressing the meaning of the original text in all fields of all languages. Computer assisted translation technology has been widely developed as a viable alternative to machine translation. Interactive machine translation technology is one of the feasible models. In order to verify the feasibility of computer-aided translation in foreign language translation, this technology has been widelyused. Optimization algorithm based on human-computer interaction, this paper tests the translation accuracy and speed of computer-aided foreign language translation and traditional translation under different sentences (words, phrases, sentences, paragraphs). The test results show that the translation accuracy of computer-aided foreign language translation optimization algorithm based on human-computer interaction is higher than that of traditional translation under words, phrases, sentences and paragraphs, and the translation accuracy is more than 96%, while the highest accuracy of traditional translation is only 94.38%; In terms of translation speed, human-computer interaction translation is still faster, reaching 4.41 sentences / second. It fully proves the superiority and feasibility of the translation optimization algorithm proposed in this paper.","PeriodicalId":474230,"journal":{"name":"Automation and machine learning","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135498439","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

Visual Simulation of Interactive Information of Robot Operation Interface 机器人操作界面交互信息的可视化仿真

Automation and machine learning Pub Date : 2023-01-01 DOI: 10.23977/autml.2023.040209

{"title":"Visual Simulation of Interactive Information of Robot Operation Interface","authors":"","doi":"10.23977/autml.2023.040209","DOIUrl":"https://doi.org/10.23977/autml.2023.040209","url":null,"abstract":"At present, the robot operation information interface is faced with many unreasonable parts, such as the slow processing speed of the interaction information of the operation interface and the low accuracy of robot control. In view of this phenomenon, a visual simulation study on the interaction information of the robot operation interface is proposed. There is interactive information in man-machine operation interface, including manipulating objects and information points, integrating interactive information units, using knowledge element to process interactive information in robot operation interface to obtain information fusion set, and processing and processing interactive information. The information fusion set collected the basic information of the operator in many aspects, calculated the basic elements of the measurement information, calculated the entropy value by the algorithm, combined with different weight values, and calculated the fusion value comprehensively by adding the weighted values. After the weighted weight processing value into the controller for calculation, calculation of various deviations, omit the value and supplementary items, adjust all parameters to control the robot. And according to the real-time situation of robot operation interface interaction information, constantly adjust various parameters to adapt to new scenes. This paper studies the principle and content of visual simulation of interactive information of robot operation interface, and expounds the outstanding performance of visual simulation of interactive information of robot operation interface to improve the convenience of interaction. The data show that the interactive information visualization simulation of robot operation interface has significant results in visualization and high control accuracy.","PeriodicalId":474230,"journal":{"name":"Automation and machine learning","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135498437","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 feedforward compensation control of permanent magnet synchronous motor based on load period fluctuation 基于负载周期波动的永磁同步电机前馈补偿控制研究

Automation and machine learning Pub Date : 2023-01-01 DOI: 10.23977/autml.2023.040302

引用次数: 0

A Collaborative Filtering Algorithm Based on Sentiment Analysis in Review Texts 基于情感分析的评论文本协同过滤算法

Automation and machine learning Pub Date : 2023-01-01 DOI: 10.23977/autml.2023.040210

引用次数: 0