2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)最新文献_第6页

Prediction Method of High Frequency Electromagnetic Noise of Micro Electric Vehicle based on Wavelet Time-Frequency Analysis 基于小波时频分析的微型电动汽车高频电磁噪声预测方法

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/iaai51705.2020.9332884

Lu Shouqing, Cheng Peng

{"title":"Prediction Method of High Frequency Electromagnetic Noise of Micro Electric Vehicle based on Wavelet Time-Frequency Analysis","authors":"Lu Shouqing, Cheng Peng","doi":"10.1109/iaai51705.2020.9332884","DOIUrl":"https://doi.org/10.1109/iaai51705.2020.9332884","url":null,"abstract":"In order to reduce the high-frequency electromagnetic noise of micro-electric vehicles, a method for predicting high-frequency electromagnetic noise of micro-electric vehicles based on wavelet time-frequency analysis is proposed. Through the electromagnetic structure design and excitation source, the motor vibration and noise are analyzed to obtain the high-frequency electromagnetic noise harmonics of electric vehicles. The time-step finite element method is used to calculate the electromagnetic force wave of the induction motor used for driving the electric vehicle, and the electromagnetic noise information is collected. Randomly sort the collected power supply margins of electric vehicles connected to charging, correct the corresponding data feature values, establish accurate motor CAD models and FEA models, and complete the prediction of high-frequency electromagnetic noise of micro-electric vehicles. By optimizing the shape of the permanent magnet and the stator potting and sealing, the improved motor was tested and verified, the noise results before and after optimization were compared, and the effectiveness of the motor noise reduction design was proved.","PeriodicalId":232194,"journal":{"name":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132096358","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

The Design of Ideological and Political Classroom Teaching Resource Sharing System Based on Streaming Media Technology 基于流媒体技术的思想政治课堂教学资源共享系统设计

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/IAAI51705.2020.9332906

Li-Bin Duan

{"title":"The Design of Ideological and Political Classroom Teaching Resource Sharing System Based on Streaming Media Technology","authors":"Li-Bin Duan","doi":"10.1109/IAAI51705.2020.9332906","DOIUrl":"https://doi.org/10.1109/IAAI51705.2020.9332906","url":null,"abstract":"The traditional ideological and political classroom teaching resource sharing system has a small number of concurrent users and long information retrieval time. Aiming at the above problems, a ideological and political classroom teaching resource sharing system based on streaming media technology is designed. In the hardware design, the type of ARM development board is designed, the functions of each interface are allocated, and the digital mobile TV receiver stick and the built-in WIFI module are designed. In the software design, the streaming media technology is introduced, and the data packet format in the transmission protocol is standardized to ensure that the playback will not be paused due to temporary network congestion. Next, software modeling of the system is performed to create a user architecture use case diagram, Set up the database, and complete the design of the ideological and political classroom teaching resource sharing system based on streaming media technology through the hardware design and software design of the system. The simulation experiment results show that in the simulation experiment of the designed teaching system, compared with the conventional teaching system, the number of concurrent users is higher and the information retrieval time is faster.","PeriodicalId":232194,"journal":{"name":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128752864","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: 3

Key Technologies of Distributed Transactional Database Storage Engine 分布式事务性数据库存储引擎关键技术

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/iaai51705.2020.9332810

Haiyong Xu, Guo Chen, Chun Zhang, Jingxue Zhou, Huang Wei, Xiaoxin Gao

{"title":"Key Technologies of Distributed Transactional Database Storage Engine","authors":"Haiyong Xu, Guo Chen, Chun Zhang, Jingxue Zhou, Huang Wei, Xiaoxin Gao","doi":"10.1109/iaai51705.2020.9332810","DOIUrl":"https://doi.org/10.1109/iaai51705.2020.9332810","url":null,"abstract":"With the development of information technology at home and abroad and the rapid popularization of mobile Internet, the data of business systems has increased exponentially. The processing and storage capabilities of traditional centralized databases are facing great challenges. Distributed databases have become the only way for enterprises to transform their digitalization. At the same time, in order to break through the market monopoly of traditional database vendors, it is a strong demand for the domestic database market to realize the localization of distributed database brands. This technical research paper constitutes a storage engine for distributed databases by studying consistent hash distributed storage, data sharding technology and transaction consistency. On the basis of the above technical research, further discussion on the hierarchical design of distributed storage engines, distributed system expansion and data rebalancing, provides theoretical and practical basis for creating mature and stable distributed database innovative products.","PeriodicalId":232194,"journal":{"name":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129926506","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

Numerical Simulation Analysis of Non-Contact Mechanical Seal Performance based on Neural Network 基于神经网络的非接触机械密封性能数值模拟分析

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/IAAI51705.2020.9332827

Xiong Ru-yi

引用次数: 1

Design of RF Robot Autonomous Obstacle Avoidance System Based on Deep Learning 基于深度学习的射频机器人自主避障系统设计

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/iaai51705.2020.9332859

Zhao Dan, Li Ya-Ping

{"title":"Design of RF Robot Autonomous Obstacle Avoidance System Based on Deep Learning","authors":"Zhao Dan, Li Ya-Ping","doi":"10.1109/iaai51705.2020.9332859","DOIUrl":"https://doi.org/10.1109/iaai51705.2020.9332859","url":null,"abstract":"In order to make the obstacle avoidance performance of the radio frequency robot more intelligent, this research designed an autonomous obstacle avoidance system for the radio frequency robot based on deep learning. The system is composed of five modules. The sensor module mainly adopts the complementary measurement scheme of ultrasonic sensor unit and infrared sensor unit, while adding angle measurement sensor unit; communication module includes CAN communication unit and serial communication unit; drive module uses DC motor as power, The selected DC motor uses Jinli Motor JRK-365S as the driving motor of the obstacle avoidance system; the obstacle detection module is mainly based on image processing for obstacle detection; the sample library module is designed based on deep learning, and the system is constructed for obstacle avoidance through BP neural network algorithm Sample library. On this basis, through the combination of hardware and software in the module, the autonomous obstacle avoidance of radio frequency robot is realized. The experimental results show that the system has a strong obstacle avoidance ability.","PeriodicalId":232194,"journal":{"name":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121289191","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

Application of Pre-installed Smart Box-type Substation in Engineering Project Management under the Environment of Internet of things 物联网环境下预装式智能箱式变电站在工程项目管理中的应用

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/IAAI51705.2020.9332826

Hao Wu, H. Yu, Xuexia Wang

{"title":"Application of Pre-installed Smart Box-type Substation in Engineering Project Management under the Environment of Internet of things","authors":"Hao Wu, H. Yu, Xuexia Wang","doi":"10.1109/IAAI51705.2020.9332826","DOIUrl":"https://doi.org/10.1109/IAAI51705.2020.9332826","url":null,"abstract":"In order to improve the progress management of substation project, the application of prefabricated smart box substation in project management under the environment of Internet of things is studied. Based on the analysis of the research status of prefabricated smart box substation project management at home and abroad, combined with the characteristics of substation engineering construction management, the schedule management process is redefined, and the influencing factors of the whole process of substation project implementation progress in the early stage, the early stage and the construction stage are analyzed, and the fuzzy comprehensive evaluation method based on AHP is established The evaluation model of progress management in the whole process of substation construction project is established, the comprehensive quantitative method of schedule management is obtained, and the control countermeasures of substation project schedule management are proposed. And taking the construction of a substation project as an example, the project schedule was compiled, the schedule influencing factors of the various stages of the project were analyzed, and the effectiveness of the power station in the project schedule management work was evaluated, so as to provide future schedule management for similar projects. A basis worthy of reference.","PeriodicalId":232194,"journal":{"name":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116170200","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 Fault Diagnosis System for Electric Vehicle Motor Based on Virtual Instrument 基于虚拟仪器的电动汽车电机故障诊断系统设计

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/iaai51705.2020.9332903

Zongping Yang, Yangyong Liu

引用次数: 0

Road Performance Evaluation of Modified Steel Slag Asphalt Mixture based on Chaos Optimization Neural Network 基于混沌优化神经网络的改性钢渣沥青混合料路用性能评价

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/IAAI51705.2020.9332833

Yan Zhou, Dong-xia Liu

{"title":"Road Performance Evaluation of Modified Steel Slag Asphalt Mixture based on Chaos Optimization Neural Network","authors":"Yan Zhou, Dong-xia Liu","doi":"10.1109/IAAI51705.2020.9332833","DOIUrl":"https://doi.org/10.1109/IAAI51705.2020.9332833","url":null,"abstract":"The road performance evaluation method, determining the asphalt mixture inaccurate evaluation index, resulting in a stable and freeze-thaw splitting strength variation inaccurate assessment before and after immersion, is proposed for this neural network based on chaos optimization slag Modified Asphalt Mixture Pavement performance evaluation methods. Analysis of Modified slag asphalt mixture, the performance index of the composition is determined slag modified asphalt road performance evaluation index; full Chaotic optimization neural network convergence speed fast convergence and high accuracy, the establishment of road performance evaluation model; calculating road pavement structural strength performance index and a coefficient, road assessment modified asphalt with slag porous. Experimental results show that the modified bitumen slag study Mixes performance evaluation method when evaluating slag modified asphalt road performance, stability and freeze-thaw splitting strength change before and after immersion of the right path performance, evaluate the results more accurate.","PeriodicalId":232194,"journal":{"name":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126055616","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

Fault Feature Recognition Method of Intelligent Manufacturing Equipment based on Virtual Instrument 基于虚拟仪器的智能制造装备故障特征识别方法

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/IAAI51705.2020.9332898

Wang Jun-ru

引用次数: 0

Preprocessing Method of Structured Big Data in Human Resource Archives Database 人力资源档案数据库结构化大数据预处理方法

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/iaai51705.2020.9332880

Zhang Cai-ming, Chu Hao-nan

{"title":"Preprocessing Method of Structured Big Data in Human Resource Archives Database","authors":"Zhang Cai-ming, Chu Hao-nan","doi":"10.1109/iaai51705.2020.9332880","DOIUrl":"https://doi.org/10.1109/iaai51705.2020.9332880","url":null,"abstract":"In order to solve the problem of false report and concealed report, this paper studies the characteristics of human resource and wage information statistics data, proposes the preprocessing method of structured big data of human resource archives database, adopts the outlier detection technology of data mining, and designs an adaptive detection method of human resource file data based on Hybrid clustering. In depth analysis of the advantages and limitations of big data preprocessing method, combined with the advantages of the two algorithms, make up for the limitations of the human resource file database structure, so that the detection process can eliminate manual intervention, and achieve the ability of adaptive calculation of initial parameters. Through the preprocessing method of structured big data of human resource archives database, the abnormal data in human resource statistical data is found. In order to verify the pre-processing method of structured big data of human resource archives database proposed in this paper, the enterprise data of enterprise wage summary table collected by statistics bureau is used. The experimental results show that the method can achieve the effect of expert detection in the detection of abnormal data, which can provide reference for the statistical department.","PeriodicalId":232194,"journal":{"name":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133783580","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: 4