发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
Evaluation of Vehicle Body Styling Based on AHP and EWM Method 基于AHP和EWM方法的车身造型评价
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00098
Qin Ju, Weizhen Liu, J. Ruan
{"title":"Evaluation of Vehicle Body Styling Based on AHP and EWM Method","authors":"Qin Ju, Weizhen Liu, J. Ruan","doi":"10.1109/AIAM54119.2021.00098","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00098","url":null,"abstract":"To reduce the error of subjective description of abstract perceptual images in the process of automobile shape design, the paper puts forward an ideal and reliable evaluation method which calculates the weighted scores through the EMW and AHP method in both the subjective and objective aspects to determine the final design scheme. The subjective weights of each index are obtained by establishing the judgment matrix through AHP method to quantify the effects of abstract semantics in the automobile modeling descriptions and the consistency checking method is used to verify the coordination of indexes in the matrix. The objective weights of each index are obtained through EWM theory by calculate the information entropy of each evaluation index. The combination weights are optimized by the Lagrange multiplier method and the results are applied to the evaluation of the body styling design to determine the final design solution. The method takes four concept car body preliminary modeling solutions as the evaluation object, and selects the best design solution while providing a reliable reference for the subsequent car modeling design direction, and the evaluation result reflect both the subjective and objective evaluation of car modeling, which improves the evaluation accuracy and provide psychological evidence.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"44 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":"121242656","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
Flow-Pronged Defense against Adversarial Examples 针对对抗性例子的流动防御
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00059
Shenghong He, Chao Yi, Zongheng Zongheng, Yunyun Dong
{"title":"Flow-Pronged Defense against Adversarial Examples","authors":"Shenghong He, Chao Yi, Zongheng Zongheng, Yunyun Dong","doi":"10.1109/AIAM54119.2021.00059","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00059","url":null,"abstract":"Recent studies have shown that deep neural networks are susceptible to interference from adversarial examples. Adversarial examples are adding imperceptible noise to the data. Currently, there are many types of adversarial examples in image classification, and these adversarial examples can easily lead to DNN misclassification. Therefore, it is essential to design AEs detection methods to allow them to be rejected. In the paper, we propose Flow-Pronged Defense (FPD) for adversarial examples, which is a framework for protecting neural network classification models from adversarial examples. FPD does not need to modify the protected classifier, which includes a FLOW model and a residual network classifier. The Flow model transforms the adversarial examples so that the classifier can better classify the adversarial examples and clean examples. The residual network strengthens the difference between disturbance and clean data through cross-layer connections. Compared with the state-of-the-art method, many experiments show that FPD has higher accuracy and generalization ability.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"24 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":"125576074","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
Multi-Robot Cooperative Hunting Based on Virtual Reality Technology 基于虚拟现实技术的多机器人协同狩猎
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00121
Qisong Zhang
{"title":"Multi-Robot Cooperative Hunting Based on Virtual Reality Technology","authors":"Qisong Zhang","doi":"10.1109/AIAM54119.2021.00121","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00121","url":null,"abstract":"Multi-robot cooperative rounding up is one of the important methods to test the intelligence level of multi-robot system. In order to test the intelligence of multi-robot system, a multi-robot cooperative rounding up system is established in this paper. In order to realize the rounding up system, this paper uses finite state machine to simplify the rounding up behavior of multi-robot. At the same time, in order to observe the multi-robot system more intuitively, this paper uses Vega software to realize virtual reality technology and applies it to the rounding up system established in this paper. Experiments show that the virtual reality technology based on VEGA can effectively simulate the multi-robot roundup, so that observers can observe the system more intuitively and effectively, so as to find out whether there are problems in the system.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"1 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":"128984685","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
Efficient Management of Power Grid Technical Transformation Project Under the Environment of Power Internet of Things Based on Kmeans++ 基于kmeans++的电力物联网环境下电网技改项目高效管理
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00107
Xiao-guang Qi, Lei An, Jianjun Wang
{"title":"Efficient Management of Power Grid Technical Transformation Project Under the Environment of Power Internet of Things Based on Kmeans++","authors":"Xiao-guang Qi, Lei An, Jianjun Wang","doi":"10.1109/AIAM54119.2021.00107","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00107","url":null,"abstract":"The power grid technological transformation project is a key work of the power grid. In the Internet of Things (IOT) environment, it can realize the actual time information passing to the center processing computer, it will give birth to various innovative application products and stimulate a new business model. This paper gives a frame of the IOT new technology application of the power grid, especially for grid technology transformation project. From the sensors in the power grid IOT new technology, the data and the node status can be capture into the power company, and the clustering method such as Kmeans ++ algorithm can be used to identify the healthy status of the node, and make a decision to whether to take the project transformation of the voltage sag. Finally, a case study proves that the proposed method is effective of the power grid technological transformation projects decision.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"1 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":"129137559","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
Kinematics Analysis of Gear Transmission System of Artillery Elevating Mechanism 火炮升降机构齿轮传动系统运动学分析
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00020
D. Si, Jun Yan, Guifeng Xiao
{"title":"Kinematics Analysis of Gear Transmission System of Artillery Elevating Mechanism","authors":"D. Si, Jun Yan, Guifeng Xiao","doi":"10.1109/AIAM54119.2021.00020","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00020","url":null,"abstract":"A virtual prototype model of the artillery gear transmission system is established, and the speed step function is applied on the motor gear for kinematic analysis. Instantaneous speed of each gear and its transmission shaft is obtained, which is verified by comparison with the theoretical value. The results show that the virtual prototype model can accurately reflect the transmission ratio of each gear pair of the elevating mechanism, which can provide technical support for the subsequent research on the idling characteristics of the gear transmission of the elevating mechanism.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"4 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113994605","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
A Simple Method for Estimate Critical Velocity of Cold Spraying Via SP 一种估算冷喷涂临界速度的简单方法
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00052
Wenjie Hu, Kun Tan, S. Markovych, Tingting Cao
{"title":"A Simple Method for Estimate Critical Velocity of Cold Spraying Via SP","authors":"Wenjie Hu, Kun Tan, S. Markovych, Tingting Cao","doi":"10.1109/AIAM54119.2021.00052","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00052","url":null,"abstract":"This study used the SPH method in Abaqus/Explicit to simulate different powders' cold spraying collision deposition processes, which proposed the deformation coefficient Y between the depth of the foundation pit and the size of powders after deformation determine the critical velocity of powders. The results show that different powders have different critical velocities. The Y value of powders with different properties is in a specific range or unique value, which is feasible to predict the critical velocity of cold spraying; compared with the results of previous studies, the accuracy is high. The research results have specific guiding significance for enriching the determination method of critical velocity of cold spraying.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"36 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132444422","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
Weight Estimation Method of Coal and Gangue on Conveyor Belt Based on Instance Segmentation 基于实例分割的输送带煤、矸石重量估计方法
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00093
Dongjun Li, Guoying Meng, Zhiyuan Sun, Lili Xu, Wei Cui
{"title":"Weight Estimation Method of Coal and Gangue on Conveyor Belt Based on Instance Segmentation","authors":"Dongjun Li, Guoying Meng, Zhiyuan Sun, Lili Xu, Wei Cui","doi":"10.1109/AIAM54119.2021.00093","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00093","url":null,"abstract":"Due to the factor of energy structure, coal will be the main energy in China for a long time in the future. With mechanized mining, gangue will be mixed into the coal. In order to improve the efficiency of coal production and realize intelligent sensing, the weight statistics of coal and gangue on the conveyor belt have become a hot research topic for many researchers. At present, the weight statistics of coal and gangue are mainly carried out through washing analysis in the subsequent processing links, but the measurement results cannot be timely fed back and guide the optimization of mining work, which restricts the construction of intelligent mines. In this paper, an image-based weight estimation system of coal and gangue on conveyor belt is established by combining deep learning-based case segmentation algorithm and linear regression model. The experimental results show that the whole system has good stability and the measurement accuracy is 87%, which provides a new intelligent solution for coal production and utilization.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"73 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":"128894656","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 Ultrasonic Phased Array Inspection Parameter Setting Based on 3D Imaging and Multi-signal Characterizationy 基于三维成像和多信号特性的超声相控阵检测参数设置研究
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00126
Lin Liu, Jingchang Wang, Jialun Zhan
{"title":"Research on Ultrasonic Phased Array Inspection Parameter Setting Based on 3D Imaging and Multi-signal Characterizationy","authors":"Lin Liu, Jingchang Wang, Jialun Zhan","doi":"10.1109/AIAM54119.2021.00126","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00126","url":null,"abstract":"Ultrasonic phased array has the functions of ultrasonic array, 3D imaging, and defect multi-signal characterization. However, there are problems in current detection such as effective parameter setting and inconsistent identification standards for defect characteristic signals. Based on the principle of ultrasonic phased array imaging, the experimental research on the setting of effective parameters for concrete cavity defect detection is carried out in this paper. The results show that the selection of wave velocity and frequency is the key factor to improve the accuracy of 3D imaging. For 20mm concrete cavity, when the frequency is less than 25kHz, the system cannot detect defects. When the working frequency is increased to 45KHZ, the defect imaging accuracy is gradually improved. When the frequency is increased to 60kHZ, the detection accuracy is reduced. The ultrasonic shear wave velocity is in direct proportion to the detection imaging depth. When the difference between the actual wave velocity and the set wave velocity is 10%, the influence of the detection imaging depth is small. When the difference between the actual wave velocity and the set wave velocity is greater than 20%, the detection imaging depth has a great impact, and the difference between the defect position and the actual value is too large, which may cause the system to be unable to detect the existence of defects.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"18 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":"127806555","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 English Writing System Based on Machine Learning 基于机器学习的英语写作系统设计
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00058
H. Zhao, Yingshu Yu
{"title":"Design of English Writing System Based on Machine Learning","authors":"H. Zhao, Yingshu Yu","doi":"10.1109/AIAM54119.2021.00058","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00058","url":null,"abstract":"Recently, artificial intelligence and machine learning have developed rapidly, but their application in helping learners improve their English writing is very limited. The author designs a new English writing system based on machine learning to improve the level of English writing. In this article, the author introduces the background and development of deep learning, natural language processing and machine translation. Then the author introduces how to build the framework of recurrent neural network, obtain training related data and reliable results by selecting model of sequence to sequence, so as to enhance English writing ability. Finally, the author discusses both the advantages and limitations of selecting data and building models, as well as the direction of future research and improvement.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"119 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":"116853445","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
Transmission Method of the Rendered Image based on Cube Environment Mapping 基于立方体环境映射的渲染图像传输方法
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00070
Genyuan Zhang, Xiuyang Zhang
{"title":"Transmission Method of the Rendered Image based on Cube Environment Mapping","authors":"Genyuan Zhang, Xiuyang Zhang","doi":"10.1109/AIAM54119.2021.00070","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00070","url":null,"abstract":"The communication between server and browser is the basic problem of remote rendering under B / S architecture. This paper first describes the difficulties of rendered image transmission, then analyzes the model characteristics in virtual reality environment, and summarizes the user action law based on the model characteristics. Because there are a large number of view rotation operations and view movement operations, and the view rotation operations are more frequent than the view movement operations, a rendered image transmission method based on cube environment mapping is proposed for view rotation; When the user rotates the view angle, it does not rely on the server rendering, but directly re renders the picture under the current view angle from the existing data. Compared with the direct transmission of 3D scene data and direct rendering results, the method proposed in this paper has nothing to do with the complexity of 3D scene and the computing power of the terminal. It can realize remote rendering with zero bandwidth pressure.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"23 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":"126143576","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
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信