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

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An Improved ICP Point Cloud Registration Algorithm Based on Three-Points Congruent Sets 基于三点同余集的改进ICP点云配准算法
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00088
Pengwei Yu, Yongqian Yang, Aizhong Tian, Changqing Du, Xiaofan Liu, Biying Pei, Kaixin Gu, Yimu Guo, Songyang Che
{"title":"An Improved ICP Point Cloud Registration Algorithm Based on Three-Points Congruent Sets","authors":"Pengwei Yu, Yongqian Yang, Aizhong Tian, Changqing Du, Xiaofan Liu, Biying Pei, Kaixin Gu, Yimu Guo, Songyang Che","doi":"10.1109/AIAM54119.2021.00088","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00088","url":null,"abstract":"ICP (Iterative Closest Point) is the most widely used point cloud registration algorithm. However, some shortcomings still exist in this algorithm, such as (1) the need to manually determine the initial value of the registration; (2) the low efficiency for large-scale point cloud registration. Therefore, this paper proposes an improved ICP point cloud registration algorithm based on the three-points congruent sets. Firstly, the algorithm narrows the search of corresponding points by extracting 3D-SIFT key points. Then, possible corresponding points are confirmed by the position relationship between the centroid and key points. The optimal transformation matrix can also be determined based on the error function. Finally, the two point clouds are accurately aligned according to the resulted optimal transformation matrix and ICP algorithm. Experimentally, the algorithm is proved to be efficient without manual intervention.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133993585","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 intelligent ring type internal fixture 智能环形内夹具的设计
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00018
Xin Wang
{"title":"Design of intelligent ring type internal fixture","authors":"Xin Wang","doi":"10.1109/AIAM54119.2021.00018","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00018","url":null,"abstract":"With the proposal of Made in China 2025, the structure of the product is transformed from the original solid structure into economic durable type, thin-wall, shell type structure application is more and more widely, because of the structural characteristics of thin-wall parts, thin-wall parts in the process of processing, especially in the welding deformation is very large. This paper describes the design idea, the selection of technical parameters, the overall mechanical structure design process of the intelligent ring type internal support fixture to prevent deformation in the welding process of thin wall parts, and the force analysis of the internal support fixture, and the design of its control system. This kind of internal fixture is a kind of intelligent fixture with high efficiency and wide application range, which is mainly used for positioning and clamping thin-wall parts to prevent deformation during welding.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134024015","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
Using Graph Attention Network to Predicte Urban Traffic Flow 基于图注意力网络的城市交通流预测
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00095
Gaohao Zhou, Changyuan Wang, Qiang Mei
{"title":"Using Graph Attention Network to Predicte Urban Traffic Flow","authors":"Gaohao Zhou, Changyuan Wang, Qiang Mei","doi":"10.1109/AIAM54119.2021.00095","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00095","url":null,"abstract":"In recent years, deep learning has been widely used in image classification and natural language processing and has achieved quite good results. Graphs are a very important part of computer algorithms and data structures. Graph structures can find lost of mappings in natural world. It emphasizes the relationship between nodes and link, and this property is widely used in social network processing, risk control, cyber security, and smart cities. The traffic flow problem is an important factor that plagues urban development. Large cities need to consider many factors when planning new construction, such as the distribution of residential communities, natural topography, and even underground pipelines. The city construction process adjusts the current traffic flow, inevitably impacting the original urban transportation network. The uncertainty of such impact is one of the reasons why many urban construction schemes are difficult to advance. Here we propose a graph attention mechanism-based urban traffic flow prediction, and we propose a method that separates the urban grid layout and traffic calculation to handle remapping. Our model can accurately predict both global and local traffic in cities while achieving satisfactory results in regression evaluation metrics, and our model is also a lightweight model that provides a basis for future research on small-scale devices.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132215007","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
Performance of Reinforcement Learning on Traditional Video Games 强化学习在传统电子游戏中的表现
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00063
Yuanxi Sun
{"title":"Performance of Reinforcement Learning on Traditional Video Games","authors":"Yuanxi Sun","doi":"10.1109/AIAM54119.2021.00063","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00063","url":null,"abstract":"Reinforcement learning is a model structure that learns and updates the model based on receiving the reward and feedback of certain environments. In recent researches, reinforcement learning has been shown to be very effective in a well- defined or simulated environment to identify optimal strategies for solving given problems. This work test the performance of several Deep Reinforcement Learning model structures on a classic video game, Flappy bird. This project wants to further analyze the performance of different settings of deep Q networks and policy gradient models, to see how different model structures affect the training speed, accuracy, and efficiency. The author has found that the Double DQN model can achieve the best score among all deep learning models, whereas the Q-table model can achieve a better score with a proper feature extraction method, as the environment is rather simple.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134228065","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
Intelligent Parking Space Sharing System 智能车位共享系统
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00118
Weijia Hong, Zhiyu You, Boran Xiao, Jianbo Ma, Kailun Hong
{"title":"Intelligent Parking Space Sharing System","authors":"Weijia Hong, Zhiyu You, Boran Xiao, Jianbo Ma, Kailun Hong","doi":"10.1109/AIAM54119.2021.00118","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00118","url":null,"abstract":"The development of the national economy has produced a dramatic increase in the number of urban resident cars, thus the contradiction between car park supply and demand is increasingly prominent in crowded business centers or even small and medium cities. Aiming at the imbalance between supply and demand of space parking spaces, difficulty in parking outside, time-consuming parking, etc., an intelligent parking space sharing system is designed in this study, which uses the Internet of Things cloud platform to connect car owners and idle parking space resources to realize resource sharing and generate economic benefits. Specifically, the functions of parking space management (unlocking and locking) and parking space status detection are realized through the license plate intelligent recognition technology, and the information interaction with the background cloud server and the mobile APP provides necessary data information for the system operation. In addition, a platform for parking space rental is provided for users, so that they can rent parking spaces, inquire about the number of idle parking spaces, automatically settle accounts, navigate parking spaces and other functions through the mobile APP. This project can greatly change the low utilization rate of parking spaces in the current society, reduce the problems of traffic jam and parking difficulty caused by finding parking spaces, and bring additional benefits to lessors to achieve win-win results.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114516370","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
Industrial Control Intelligent Operation and Maintenance System Based on Zigbee Wireless Communication Technology 基于Zigbee无线通信技术的工业控制智能运维系统
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00104
Jiaqi Fan
{"title":"Industrial Control Intelligent Operation and Maintenance System Based on Zigbee Wireless Communication Technology","authors":"Jiaqi Fan","doi":"10.1109/AIAM54119.2021.00104","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00104","url":null,"abstract":"In order to solve a series of problems of the existing industrial control equipment based on the traditional operation and maintenance system, based on Zigbee networking technology, artificial intelligence and heartbeat detection technology, a set of intelligent operation and maintenance management system of automated industrial control system has been constructed. Through the mutual detection of equipment network and hardware, data analysis and machine learning, the shortcomings of traditional operation and maintenance systems are supplemented, and the cost of manpower and material resources for maintaining equipment and testing equipment operation status is reduced. Improve the reliability of industrial automation operation and maintenance.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":" 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113953204","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
Traditional engines versus all kinds of alternatives: performance and emissions 传统发动机与各种替代品的对比:性能和排放
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00024
Zhenghao Guo, Xiaolei Jia, Yuan Yang
{"title":"Traditional engines versus all kinds of alternatives: performance and emissions","authors":"Zhenghao Guo, Xiaolei Jia, Yuan Yang","doi":"10.1109/AIAM54119.2021.00024","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00024","url":null,"abstract":"This article mainly focuses on the comparison between traditional engines and alternatives in multiple data and points of views. With the development of technology and the energy crisis, new automobile technologies have been invented. Our research on alternatives covers Hybrid electric (plug-in) Vehicle (HEVs), Electric Vehicle and Fuel cells. We analyze them one by one theoretically based on the data from sources. Each technology has its own characteristics and unique points. In our perspective, hybrid electric vehicles will be the transitional and main technology in recent years. Electric vehicles will be the most popular type of vehicle in the future. Fuel cell vehicles have their own benefits and drawbacks and it will not be popularized until the drawbacks are nearly eliminated.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131435986","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
Predictive Analysis and Research Of Python Usage Rate Based on Polynomial Regression Model 基于多项式回归模型的Python使用率预测分析与研究
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00061
Yang Gong, P. Zhang
{"title":"Predictive Analysis and Research Of Python Usage Rate Based on Polynomial Regression Model","authors":"Yang Gong, P. Zhang","doi":"10.1109/AIAM54119.2021.00061","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00061","url":null,"abstract":"Nowadays, more and more people will choose Python to help them accomplish some things, in order to better predict the proportion of Python usage. This paper proposes a polynomial regression analysis model. First, crawl the historical usage data of the python language from the official website; then clean the analysis, use a scatter plot to visualize the relationship between tags and features; then use the training set data to train the polynomial regression Model; Finally, the generalization ability of the model is tested through the test set. After many experiments, it can be known that when the highest number is 9 times, the entire training set score is 0.912862, and the test set score is 0.886600, which achieves a better fitting effect and has a certain practical value, which can be used for popularization.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128614958","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
Path Planning of Arc Additive Remanufacturing for Defective Castings 缺陷铸件电弧增材再制造路径规划
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00056
Chenxu Duan, Pan Zhang
{"title":"Path Planning of Arc Additive Remanufacturing for Defective Castings","authors":"Chenxu Duan, Pan Zhang","doi":"10.1109/AIAM54119.2021.00056","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00056","url":null,"abstract":"According to the characteristics of weld lap and weld layer accumulation in remanufacturing process, the path planning algorithm is studied, and a compound scanning algorithm is proposed to meet the requirements of complete filling and smooth surface in remanufacturing area. The remanufacturing path planning tool is developed by UG secondary development platform, and the path planning result is obtained by importing point cloud data. The robot welding workstation is used to experiment the planning results, and the original shape of the defective mold is basically restored after the experiment, which verifies the correctness of the planning results.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121356959","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
Rendering and Transmission Method based on Model Resolution Expression and User Action Prediction 基于模型解析表达式和用户动作预测的渲染与传输方法
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00071
Genyuan Zhang, Xiuyang Zhang
{"title":"Rendering and Transmission Method based on Model Resolution Expression and User Action Prediction","authors":"Genyuan Zhang, Xiuyang Zhang","doi":"10.1109/AIAM54119.2021.00071","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00071","url":null,"abstract":"The rapid rendering of complex 3D models based on web is a difficult problem, mainly because the rendering ability of web is limited, and the transmission of complex 3D models on the network requires huge bandwidth. In order to solve the above problems, according to the action characteristics of users when browsing complex 3D models, we first predict the viewpoint from the characteristics of users, at the same time, the frequently used viewpoints are pre drawn in the server section, and the pre drawn viewpoint images are transmitted to the client. For viewpoint movement, a rendering and transmission method based on model resolution expression and user action prediction is proposed. When the user moves the viewing angle, according to its moving speed, the multi level of detail technology is used to reduce the rendering quality of some objects that are not easy to be detected by the human eye and reduce the volume of the rendered image, so as to reduce the network load. Considering the influence of network delay on mobile speed detection, this chapter will use action prediction method to improve the accuracy of mobile speed detection.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121466091","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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