2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)最新文献_第3页

Visual feature recognition of human motion in sequence images based on 3D skeleton 基于三维骨架的序列图像人体运动视觉特征识别

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/IAAI51705.2020.9332907

Tao Lei

引用次数: 0

Multimedia Assisted Sharing Platform of Higher Education Resources in the Era of Internet of Things 物联网时代高等教育资源多媒体辅助共享平台

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/iaai51705.2020.9332857

Tan Bin

引用次数: 0

Deformation Monitoring Method of Large Section Shallow Buried Tunnel Based on GNSS Technology 基于GNSS技术的大断面浅埋隧道变形监测方法

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/iaai51705.2020.9332839

Neng Li

{"title":"Deformation Monitoring Method of Large Section Shallow Buried Tunnel Based on GNSS Technology","authors":"Neng Li","doi":"10.1109/iaai51705.2020.9332839","DOIUrl":"https://doi.org/10.1109/iaai51705.2020.9332839","url":null,"abstract":"In the deformation monitoring of large-section shallow buried tunnels, the traditional monitoring methods are affected by the temporal and spatial effects of tunnel construction, resulting in insufficient safety of the monitoring methods. Therefore, a deformation monitoring method based on GNSS technology for large cross-section shallow excavation tunnel is proposed. The GNSS automation equipment and its technology are combined to realize the real-time acquisition of monitoring data, and the displacement trend diagram of monitoring points is displayed. According to the known monitoring parameters, the basis for judging the deformation stability is determined. Combined with the calculation results of tunnel surrounding rock and support structure parameters, the optimal fitting monitoring results are obtained. The experimental results show that the total power factor of the designed large-section shallow buried tunnel deformation monitoring method based on GNSS technology is stable, the monitoring results are basically consistent with the actual tunnel deformation, and its safety has been improved.","PeriodicalId":232194,"journal":{"name":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","volume":"23 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":"133312445","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

Design of Data Acquisition System for Highway Bridge Health Monitoring Based on Internet of Things 基于物联网的公路桥梁健康监测数据采集系统设计

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/iaai51705.2020.9332866

Tang Li, Yin Hongyan

{"title":"Design of Data Acquisition System for Highway Bridge Health Monitoring Based on Internet of Things","authors":"Tang Li, Yin Hongyan","doi":"10.1109/iaai51705.2020.9332866","DOIUrl":"https://doi.org/10.1109/iaai51705.2020.9332866","url":null,"abstract":"With the continuous development of the transportation industry, highway bridge health has become one of the important factors affecting the development of the transportation industry. The traditional highway bridge health monitoring data collection system is used to monitor the bridge, and the system's data operation ability is poor. The main reason is that the traditional system data collection module setting technology is poor, and the data collection hardware and the system adaptability price difference. Therefore, the highway bridge health monitoring data acquisition system based on the Internet of things is designed. Use IoT technology to optimize the sensors and data acquisition hardware in the hardware part of the traditional system. Frequency method is used as the main algorithm of data acquisition module. According to the characteristics of bridge data, the logical relationship of database is set. Choose Modbus protocol as the system transmission protocol to realize data collection and transmission. So far, the design of the road and bridge health monitoring data collection system based on the Internet of Things is completed. Compared with the traditional system, the system has larger data throughput and better performance than the traditional system. It can be seen that the system has high data collection capabilities and is suitable as the main data source for highway and bridge health monitoring.","PeriodicalId":232194,"journal":{"name":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","volume":"8 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":"133415095","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: 2

Research on Track and Field Attitude Coordination Tracking Correction Method Based on Projection Tracking 基于投影跟踪的田径姿态协调跟踪校正方法研究

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/IAAI51705.2020.9332855

Yang Chuan

引用次数: 1

Path Planning Method of Self-Propelled Bridge Inspection Vehicle based on Support Vector Machine 基于支持向量机的自行式桥梁检测车路径规划方法

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/iaai51705.2020.9332865

Chen Yujie, Chen Qiang

{"title":"Path Planning Method of Self-Propelled Bridge Inspection Vehicle based on Support Vector Machine","authors":"Chen Yujie, Chen Qiang","doi":"10.1109/iaai51705.2020.9332865","DOIUrl":"https://doi.org/10.1109/iaai51705.2020.9332865","url":null,"abstract":"Present, there is a high rate of missing inspection in the path planning method of bridge inspection vehicle, and the planning path is repeated, which affects the detection efficiency. In order to overcome the above technical deficiencies, a self-propelled bridge inspection vehicle path planning method based on support vector machine is designed. Through the sample training based on support vector machine, the maximum interval method is used to partition the hyperplane to reduce the collision of obstacles. The grid method is used to construct the environment model of the bridge to determine the specifications of the grid. Each grid is given different values and meanings to represent different environmental information. Finally, the path planning of the operation vehicle is realized. In the experiment, two methods are used to plan the path of a bridge inspection project, and the two paths obtained from the plan are evaluated. The experimental results show that the path of the inspection vehicle obtained by the designed path planning method can achieve all-round coverage of the bridge inspection. And there is no path duplication, which verifies the effectiveness of the design method.","PeriodicalId":232194,"journal":{"name":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","volume":"39 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":"116261478","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

Efficiency Evaluation of Mixed Mathematics Teaching in Basic Mathematics Curriculum Under the Background of Internet Plus 互联网+背景下基础数学课程混合数学教学效率评价

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/IAAI51705.2020.9332871

Ma Xiao-Xiao

{"title":"Efficiency Evaluation of Mixed Mathematics Teaching in Basic Mathematics Curriculum Under the Background of Internet Plus","authors":"Ma Xiao-Xiao","doi":"10.1109/IAAI51705.2020.9332871","DOIUrl":"https://doi.org/10.1109/IAAI51705.2020.9332871","url":null,"abstract":"In the background of Internet plus, when assessing the efficiency of the mixed teaching classroom in the basic mathematics course, the data samples are affected by isolated noise points, resulting in the excessive error of the final classroom teaching efficiency evaluation. In view of this deficiency, we study a method of classroom teaching efficiency evaluation of the mixed mathematics teaching in the background of Internet plus. From different perspectives, the paper determines the efficiency evaluation index, delimits the different stages of the mixed teaching classroom, calculates the risk of classroom efficiency under the Internet + ”mode, searches the evaluation value of the index by using the distance weighted proximity regression method, controls the external interference in the data set, and constructs the classroom efficiency evaluation function. We will prepare 20 classes of mixed teaching data sets and build an Internet plus experimental environment, using two traditional classroom teaching efficiency evaluation methods and the classroom efficiency evaluation method designed to carry out the experiment. The results show that the evaluation error produced by the classroom efficiency evaluation method is the smallest.","PeriodicalId":232194,"journal":{"name":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","volume":"33 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":"116662814","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

Quality Control of Phase Change Energy Storage and Thermal Insulation Building Materials based on Optical Fiber Sensing Technology 基于光纤传感技术的相变储能保温建筑材料质量控制

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/iaai51705.2020.9332836

Tian Man-li, Shi Cui-ping

{"title":"Quality Control of Phase Change Energy Storage and Thermal Insulation Building Materials based on Optical Fiber Sensing Technology","authors":"Tian Man-li, Shi Cui-ping","doi":"10.1109/iaai51705.2020.9332836","DOIUrl":"https://doi.org/10.1109/iaai51705.2020.9332836","url":null,"abstract":"In recent years, the use of phase change energy storage and thermal insulation building materials has gradually expanded. In order to effectively control the use effect of phase change energy storage and thermal insulation building materials, a quality control method for phase change energy storage and thermal insulation building materials based on optical fiber sensing technology is proposed. Complete the selection of optical fiber sensor components to achieve high-precision collection and processing of building material data. The main evaluation basis is obtained by using extension set theory, and the data association degree of building material quality is studied. The comprehensive evaluation analysis method is used to complete the quality evaluation and control of building materials. So far, the design of the quality control method for phase change energy storage thermal insulation building materials based on optical fiber sensing technology is completed. Through the comparison of experiments, it can be seen that this method has a better quality control effect than the traditional method of phase change energy storage insulation building materials.","PeriodicalId":232194,"journal":{"name":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","volume":"37 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":"121339842","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 Online Proofreading System for Business English Translation Based on Machine Vision 基于机器视觉的商务英语翻译在线校对系统设计

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/iaai51705.2020.9332885

Hong Xu

{"title":"Design of Online Proofreading System for Business English Translation Based on Machine Vision","authors":"Hong Xu","doi":"10.1109/iaai51705.2020.9332885","DOIUrl":"https://doi.org/10.1109/iaai51705.2020.9332885","url":null,"abstract":"The translation work of business English is becoming more and more complicated, and the accuracy of translation cannot be maintained at a high level. Therefore, it is necessary to use an online proofreading system to make up for the lack of English translation software. However, due to the traditional online proofreading system, the design of the translation logic is relatively fragmented, resulting in the constant changes in the proofreading node layout and affecting the proofreading results. Therefore, an online proofreading system for business English translation based on machine vision is designed. In terms of hardware, connect a new type of single-chip microcomputer in the system and redesign the control circuit. On the software side, it calculates vocabulary similarity by tracking business English vocabulary; calculating semantic similarity based on content characteristics, and designing the system's online proofreading logic based on machine vision theory, and then resetting the system's online intelligent proofreading method. Experimental results: Compared with the system under the traditional design, the proofreading node of the design system deployment and control has a certain regularity. After proofreading the English translation, the accuracy of the translated content has been greatly improved.","PeriodicalId":232194,"journal":{"name":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","volume":"56 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":"121547146","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

Construction Material Concrete Quality Detection Method based on Ultrasonic Tomography Technology 基于超声层析成像技术的建筑材料混凝土质量检测方法

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI) Pub Date : 2020-12-25 DOI: 10.1109/IAAI51705.2020.9332895

Qiang Chen, Yujie Chen

{"title":"Construction Material Concrete Quality Detection Method based on Ultrasonic Tomography Technology","authors":"Qiang Chen, Yujie Chen","doi":"10.1109/IAAI51705.2020.9332895","DOIUrl":"https://doi.org/10.1109/IAAI51705.2020.9332895","url":null,"abstract":"The current quality detection methods for building materials concrete are inaccurate in the processing results of sound waves and amplitude signals, resulting in low accuracy of the propagation velocity and wave velocity dispersion in the detected concrete, and inaccurate quality strength detection results, so based on ultrasonic tomography technology The characteristics of the design of construction materials concrete quality inspection methods. Collect ultrasonic velocity and amplitude signals, and eliminate the abnormal signals in the collected sound velocity and amplitude; make full use of the ultrasonic tomography technology in the internal propagation of the medium, and the characteristics of digital imaging, complete the image transformation, establish the concrete mathematical model, output the internal image of concrete, and complete the concrete quality detection. Experimental results: The proposed construction material concrete quality inspection method, when inspecting the construction material concrete, the dispersion of the propagation velocity and the wave velocity in the detected concrete, compared with other inspection methods, the construction material concrete quality inspection method The result is more accurate.","PeriodicalId":232194,"journal":{"name":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","volume":"4 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":"123704148","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