2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture最新文献

{"title":"Application of Data Mining Technology in Investigation","authors":"Genwang Li","doi":"10.1145/3495018.3495373","DOIUrl":"https://doi.org/10.1145/3495018.3495373","url":null,"abstract":"Data mining is one of the data processing technology, it can extract effective information from a variety of data, so as to help people make decision analysis. DMT (Data Mining Technology) mainly includes three elements: the first is the method element, which is the link and bridge between the other two elements; the second is the condition element, which is the object of the first element; the last is the basic element, which is the realistic basis of the other two elements. In order to explore the effect of DMT in investigation, with the consent of relevant departments, we selected a public security organ as the experimental investigation object. The final experimental results show that the participation rate of DMT in public security investigation is higher and higher, and the final rate is as high as 95%. With the application of this technology in investigation, the efficiency of the cases cracked is also increasing The number of cases cracked has increased from 1000 in 2017 to 6000 in 2020, and the number of cases cracked has increased six times in four years.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83783595","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}

{"title":"Research on Financial Risk Control Model and Algorithm Based on Machine Learning under the Background of Rural Revitalization Strategy","authors":"Shaoyi Li","doi":"10.1145/3495018.3501225","DOIUrl":"https://doi.org/10.1145/3495018.3501225","url":null,"abstract":"The strategy of rural revitalization is of great significance to the reconstruction of rural economic growth, in which rural industries, represented by the integration and development of rural industries, have sprung up. The purpose of this paper is to use machine learning (ML) technology to build an effective risk control model, so as to help Internet finance enterprises better control the loan risk. Sample data of Internet financial platform borrowers are extracted from multiple dimensions, and then the data are further processed, and the data used to build the model is extracted by feature engineering. Combined with the Gradient Boosting Decision Tree (GBDT) algorithm in ML algorithm, the comprehensive evaluation is carried out by using the basic information of bank customers, flow records, user detection information and user detection scale. The performance of the wind control model is further improved by ML, which provides guidance and reference for the performance improvement of the model.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"132 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79646326","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}

{"title":"Application Analysis of Artificial Intelligence Target Controlled Infusion in Clinical Anesthesia Operation","authors":"Li Yuan, Guo-li Li, Zhitao Teng, Jin-liang Teng","doi":"10.1145/3495018.3495389","DOIUrl":"https://doi.org/10.1145/3495018.3495389","url":null,"abstract":"Medical data are too scattered, complex and ethically difficult. Its development in the field of surgery is still in the initial stage of exploration. But with the development of machine deep learning, it is necessary for surgeons and data experts to strengthen interdisciplinary cross-disciplinary cooperation in order to promote the progress of AI in the field of surgical operation, and finally realize AI driven automatic robot for surgical operation. This process is long and hard, which requires a long time of effort from surgeons and data experts, and steadily promote the development of artificial intelligence, so as to achieve achievements. Many clinical operations require anesthesia, local anesthesia or general anesthesia. Artificial anesthesia can not control the dose and concentration of drugs accurately, which leads to the prolonged recovery time of patients and affects physiological function. In addition, the related research confirmed that target controlled intravenous anesthesia can effectively maintain the plasma drug concentration during operation, achieve the ideal anesthesia depth and reduce the stress response of operation. This paper discusses the application of artificial intelligence technology and target controlled infusion in clinical anesthesia. With the aid of the big data learning function of artificial intelligence, the paper analyzes the combination of body indexes of each patient and data of database, and summarizes the anesthesia infusion scheme for each patient. 84 patients who underwent laparoscopic appendicitis in a third class hospital from June 2018 to June 2019 were randomly divided into two groups, 42 patients in each group. The ratio of the number of men and women in the control group was 21:21, the age was between 18 and 55 years old; the ratio of the number of men and women in the control group was 21:21, and the age was between 18 and 55 years. There was no significant difference between the two groups (P > O.05), which was in line with the requirements of comparison.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83403288","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}

{"title":"Intelligent File Management System Based on Artificial Intelligence","authors":"Yan-liang Wang","doi":"10.1145/3495018.3501172","DOIUrl":"https://doi.org/10.1145/3495018.3501172","url":null,"abstract":"For the purpose to solve the disadvantages of traditional manual file management, this paper proposes a novel intelligent file management system based on artificial intelligence. The system combines the artificial intelligence technology, from the current background of the times and social needs, to achieve a unified specification of the file management process. In addition, the system also has the functions of character recognition, intelligent workflow management, intelligent electronic form management, micro service and format conversion. The results show that the system improves the intelligence and availability of file management.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"113 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83482188","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}

{"title":"Decoupling analysis of traffic system carbon emission and coordination degree physical model","authors":"C. Hao, Yan-Hui Xin","doi":"10.1145/3495018.3501152","DOIUrl":"https://doi.org/10.1145/3495018.3501152","url":null,"abstract":"Urban transportation has been the main component of China's urban carbon emission. Under the background of carbon emission reduction, the development of low-carbon transportation while ensuring stable economic growth has become an inevitable requirement of the whole social and economic development. The research on the decoupling relationship between urban traffic carbon emission and economic growth has great theoretical and practical value for building a low-carbon transportation system with coordinated social and economic development. Based on Tapio Decoupling index, this paper constructs a decoupling index model of urban traffic carbon emission to analyze the decoupling state of urban traffic carbon emission and urban economic development in China. Through the example verification, it is found that the decoupling state between China's urban traffic carbon emission and economic growth value shows an improvement trend on the whole, although it shows varying degrees of fluctuation.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80872568","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}

{"title":"Research on the Deep Mining of Chinese Language Learning by Internet New Media Information Technology","authors":"Ying Huang","doi":"10.1145/3495018.3495294","DOIUrl":"https://doi.org/10.1145/3495018.3495294","url":null,"abstract":"With the continuous popularization of computers and networks, a new language form of network language has emerged at the historic moment. At present, it is believed that the new media network language has brought a certain impact on the language learning of school students, but the impact on different cities and different regions must be different. The purpose of this article is to study the influence of the new media network language on the development of Chinese language, literature and culture and its significance in the future. This paper uses big data algorithms and in-depth mining algorithms to initially construct a data model that simulates the influence of new media network languages on the development of Chinese language, literature and culture, and sorts out the basic process of the influence of new media network languages on the development of Chinese language, literature and culture. The experimental results show that Interviews and questionnaire surveys were conducted with experimental students. More than 90% of the students believed that the influence of new media network language on the development of Chinese language, literature and culture has a positive significance.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89315607","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}

{"title":"Analysis of Influence Factors for Buried Corroded Flushing Carbon Steel Pipeline Under Multiple Loads","authors":"Qiao-Qi Li, Xingwang Wang","doi":"10.1145/3495018.3495057","DOIUrl":"https://doi.org/10.1145/3495018.3495057","url":null,"abstract":"Corrosion was one of the main factors that caused the failure of buried pipelines. In this paper, the buried flushing carbon steel pipeline with external corrosion defect was taken as the research object, considering the nonlinear characteristic of pipe-soil contact, and the nonlinear variation of soil temperatures changed with buried depth, the finite element model of pipeline was established with solid element. Then, the corroded pipeline subjected the multiple loads of gravity, internal pressure, temperature difference and soil force, the key part of which strength was calculated. Meanwhile, how the ambient temperature, relative corrosion depth and operating pressure influenced on pipeline strength were discussed respectively. The results showed that: there was a reverse increasing trend between the environment temperature and the equivalent stress of corroded pipeline; the equivalent stress of pipeline increased when the relative corrosion depth and operating pressure increased; when the three types of influence factors were considered synthetically, from July to September was the best time to do the flushing work for the flushing pipeline with acceptable defect.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84819823","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}

{"title":"Design of Automatic Control System for Dry Anaerobic Fermentation of Kitchen Waste","authors":"Lan Zhu, Weicheng Ma, Lin Huang, Wei Liang, Zhen Cheng, Y. Zheng","doi":"10.1145/3495018.3501192","DOIUrl":"https://doi.org/10.1145/3495018.3501192","url":null,"abstract":"In this paper, the expert system of artificial intelligence automatic control system is designed to identify each stage of the internal fermentation reaction process of food waste anaerobic fermentation tank, and complete the real-time monitoring and whole process control. By automatically adjusting the temperature, pH, pressure and other environmental factors in the tank, the heat-resistant anaerobic fermentation bacteria in the fermenter are in a suitable growth environment, and the efficiency and quality of methane production by anaerobic fermentation bacteria are improved. The intelligent system can complete all the work such as feeding, adjusting environmental parameters in the tank, stirring, collecting and monitoring methane production, and removing primary reactants. It can automatically identify various parameters in the tank from the whole process of feeding to discharging. Display and save the data, report the abnormal situation in time and take the corresponding processing procedures. The direct control of anaerobic fermentation tank adopts STM32 single chip microcomputer and DSP as the lower machine, laptop computer as the upper machine, equipped with expert system.Nano-Fe3O4 iron powder was innovatively used to complete the work of temperature regulation module and agitation module, and the fermentation efficiency of anaerobic bacteria was improved.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90624789","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}

{"title":"Design Scheme of Intelligent English Teaching Aid System Based on Artificial Intelligence Technology","authors":"Qian Wu","doi":"10.1145/3495018.3501171","DOIUrl":"https://doi.org/10.1145/3495018.3501171","url":null,"abstract":"In order to overcome the problems of traditional English teaching aids, this paper proposes a novel design scheme of intelligent English teaching aids system based on artificial intelligence technology. Starting from the traditional English teaching aids, the design explores the feasibility of the organic combination of artificial intelligence technology and traditional English teaching aids. Based on this, the design scheme also fully combines the artificial intelligence technology and intelligent speech technology, which can identify whether the students’ pronunciation is accurate, and score and feedback. The results show that the design can solve the limitations of traditional English teaching aids and improve students’ autonomous learning ability.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79654573","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}

{"title":"Design and Engineering Application of Ultra-Light Steel Truss Support System for Cantilever Beam Cover","authors":"Sheng-Gang Xu, Meng-Hsiu Wu, Xiaoyan Yang","doi":"10.1145/3495018.3501236","DOIUrl":"https://doi.org/10.1145/3495018.3501236","url":null,"abstract":"The new urban expressway viaduct in soft-soil area is faced with some difficulties, such as poor geological conditions, construction site shortage, and rapid increase in the cost of pond dregs and earthwork. Therefore, the temporary support system of ultra-light large-span covered beam with cantilever is designed. The dead load of cantilever-truss is 15 tons, the cantilever is 9.5 meters, and it can bear the temporary load of 480 tons of cover beam construction. The engineering practice shows that the ultra-light large-span covered beam with cantilever reduces the requirements for traditional technology on temporary measures of material input, lifting machinery and operators. The comprehensive cost and operation cycle of this project are only 45% and 60% of full floating rear axle framing, which has significant economic value and social benefits.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90759422","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}