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2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)最新文献

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Research on Key Technologies of Intelligent Robots in Modern Cold Storage 现代冷库智能机器人关键技术研究
2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM) Pub Date : 2022-10-01 DOI: 10.1109/AIAM57466.2022.00062
Hong Zhang, Dapeng Dong
{"title":"Research on Key Technologies of Intelligent Robots in Modern Cold Storage","authors":"Hong Zhang, Dapeng Dong","doi":"10.1109/AIAM57466.2022.00062","DOIUrl":"https://doi.org/10.1109/AIAM57466.2022.00062","url":null,"abstract":"Aiming at the weak links such as cold storage inspection and logistics transportation, the most important nodes in the cold chain logistics industry, this paper proposes an intelligent cold storage robot, which replaces manual completion of equipment in special environments through highly intelligent robotics and image recognition technologies. The detection and diagnosis of the running status realizes the full coverage inspection of the equipment area. It has the functions of security inspection, logistics transportation, temperature and humidity, gas detection, various image recognition, attitude recognition, etc. It has been proved by empirical evidence that it has greatly alleviated the problem of weak personnel on duty, the security has been further improved.","PeriodicalId":439903,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124424050","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 the Identification of Artworks Based on Image Recognition 基于图像识别的艺术品识别研究
2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM) Pub Date : 2022-10-01 DOI: 10.1109/AIAM57466.2022.00096
Hua Li
{"title":"Research on the Identification of Artworks Based on Image Recognition","authors":"Hua Li","doi":"10.1109/AIAM57466.2022.00096","DOIUrl":"https://doi.org/10.1109/AIAM57466.2022.00096","url":null,"abstract":"In the era of big data, digital recognition technology is particularly important, and with the continuous upgrading of relevant information technology, beyond recognition technology has been widely developed in various fields. Through computer information technology as a way of information transmission.it is the basis of digital image processing technology as well as related recognition technology. In the \"metaverse\" environment, a large number of outstanding paintings are made into digital images and used for \"big data\" recognition. In order to find such artwork images better and faster, a more scientific and effective recognition method needs to be explored. In this paper, we compare the advantages and disadvantages of feature extraction and classification design with existing methods, and improve and optimize the feature extraction and classification recognition algorithm after completing artwork pre-processing. Finally, the performance of the method is verified by experimental analysis.","PeriodicalId":439903,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)","volume":"24 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120935050","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 machine learning algorithm in porosity calculation 机器学习算法在孔隙度计算中的应用
2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM) Pub Date : 2022-10-01 DOI: 10.1109/AIAM57466.2022.00154
Yuwei Zhang, Qingguo Zhang
{"title":"Application of machine learning algorithm in porosity calculation","authors":"Yuwei Zhang, Qingguo Zhang","doi":"10.1109/AIAM57466.2022.00154","DOIUrl":"https://doi.org/10.1109/AIAM57466.2022.00154","url":null,"abstract":"Reservoir porosity is an important parameter to reflect reservoir performance. At present, the logging data with high correlation with core analysis porosity and porosity are usually selected to build a multiple linear regression model to calculate reservoir porosity. Some formation porosity information may be lost due to the ignorance of logging data with low correlation, and the multicollinearity of the variables may lead to the instability of the regression model when using logging data for multivariate comprehensive analysis and increase the calculation error .In view of the above problem, this paper comprehensive reaction formation acoustic, electric, properties of well logging data, using principal component regression (PCR) algorithm, Levenberg-Marquardt (LM) algorithm to optimize the BP neural network and multiple linear regression, respectively, on the porosity in Q4 target calculation, the results showed that LM - BP neural network, PCR and the relative error of the multiple linear regression were 7.10%, 10.63% and 14.99% respectively.","PeriodicalId":439903,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)","volume":"482 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122498295","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
Structure Recognition for Object Detection and Tracking Based on Star Catalogue 基于星表的目标检测与跟踪结构识别
2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM) Pub Date : 2022-10-01 DOI: 10.1109/AIAM57466.2022.00058
Jiaxi Xu, Changzhen Qiu, Luping Wang
{"title":"Structure Recognition for Object Detection and Tracking Based on Star Catalogue","authors":"Jiaxi Xu, Changzhen Qiu, Luping Wang","doi":"10.1109/AIAM57466.2022.00058","DOIUrl":"https://doi.org/10.1109/AIAM57466.2022.00058","url":null,"abstract":"When the queue constituted by warcrafts and ships are deployed, they often move in fixed formation, which like the structure of galaxies in the universe. This work proposes a structure recognition like star pattern matching. It connects each of the three targets into a triangle, then get the angle and sides from the point we interest. In the next frame, triangle similarity will be used to match the structure from previous \"star catalogue\". This work changes the pixel-level feature of image into a simple \"star catalogue\". The star catalogue provides a huge help to detection and tracking in fixed formation because it records key information between different object. In the experiment, the method has achieved high accuracy with its characteristics of light weight and fast.","PeriodicalId":439903,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)","volume":"14 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115718808","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 Dual-channel Text Feature Extraction Method Based on Neural Network 基于神经网络的双通道文本特征提取方法研究
2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM) Pub Date : 2022-10-01 DOI: 10.1109/AIAM57466.2022.00083
Li Wang, Bin Wang
{"title":"Research on Dual-channel Text Feature Extraction Method Based on Neural Network","authors":"Li Wang, Bin Wang","doi":"10.1109/AIAM57466.2022.00083","DOIUrl":"https://doi.org/10.1109/AIAM57466.2022.00083","url":null,"abstract":"In the existing research on Chinese natural language processing text feature extraction has always been a core problem in this field, and the advantages and disadvantages of text feature extraction performance are important factors that directly affect the performance of text processing technology. This research offers a dual-channel feature extraction method based on neural networks in order to handle this challenge of text feature extraction from the perspectives of local information and context global information of text sentences. The text's local features are extracted using GCN, while the text's overall semantic features are extracted using BiLSTM, and the full connected neural network is used to fuse the local eigenvector with the global eigenvector to obtain the final features of the text. To confirm the efficiency of the suggested feature extraction technique, the suggested approach is used to classify news material in this research. The outcomes of the experiments demonstrate that the performance of the suggested method outperforms that of the GCN and BiLSTM feature extraction methods used independently. When compared to other feature extraction approaches, this method's experimental results are still better.","PeriodicalId":439903,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115304153","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 Night Scene Image Enhancement Algorithm Based on Half-pixel Constraint 基于半像素约束的夜景图像增强算法研究
2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM) Pub Date : 2022-10-01 DOI: 10.1109/AIAM57466.2022.00019
Zhendong Wang, Wei Sun, Fu Zhou
{"title":"Research on Night Scene Image Enhancement Algorithm Based on Half-pixel Constraint","authors":"Zhendong Wang, Wei Sun, Fu Zhou","doi":"10.1109/AIAM57466.2022.00019","DOIUrl":"https://doi.org/10.1109/AIAM57466.2022.00019","url":null,"abstract":"Due to the relatively concentrated distribution of gray value in night scene image, it is often necessary to improve the visual effect of the image by widening and lifting the gray value, so as to further clarify the details and facilitate the subsequent processing operation. To solve the problem that the traditional contrast enhancement algorithm often enlarges the noise when processing the image, which affects the visual quality of the enhanced image, a half pixel constrained image enhancement algorithm is proposed. The algorithm divides the night scene image into bright and dark regions according to the gray value corresponding to the half pixel of the image, and uses bi-directional histogram equalization to realize the half pixel constraint in the bright region, so as to suppress the signal-to-noise ratio, while the traditional double histogram equalization is still used in the dark region. The experimental results show that the algorithm can better preserve the details of the original night scene image, and has the ability to deal with the noise interference.","PeriodicalId":439903,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115815344","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 Evolutionary Behavior Tree AI for Neural MMO Challenge 神经MMO挑战的进化行为树AI
2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM) Pub Date : 2022-10-01 DOI: 10.1109/AIAM57466.2022.00069
Kun Zhang, Chi Xu
{"title":"A Evolutionary Behavior Tree AI for Neural MMO Challenge","authors":"Kun Zhang, Chi Xu","doi":"10.1109/AIAM57466.2022.00069","DOIUrl":"https://doi.org/10.1109/AIAM57466.2022.00069","url":null,"abstract":"The Neural MMO Challenge aims to study robustness and teamwork in large-scale multi-agent environments. AI needs to explore, search and fight in large-scale environments, and get higher scores than other competitors. Therefore, we developed AI based on evolutionary behavior tree, which has the advantages of strong interpretability, low coupling between modules and strong robustness. Specifically, the AI adopts the idea of divide and conquer, divides the decision-making into two levels: team and individual, divides the four task achievements into several subtasks, finds appropriate agents for each subtask according to the current advantages, and then completes specific actions such as attack, foraging, avoidance and collaboration, and optimizes the parameters with evolutionary strategy algorithm.AI won the silver medal in IJCAI 2022 Neural MMO Challenge.","PeriodicalId":439903,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132421810","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
Data-driven Discrete Terminal Sliding Mode Method for Carbon Fiber Diagonal Loom Tension Networked Control 数据驱动的离散终端滑模碳纤维斜向织机张力网络控制方法
2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM) Pub Date : 2022-10-01 DOI: 10.1109/AIAM57466.2022.00132
Xiang Li, Fangjian Ning
{"title":"Data-driven Discrete Terminal Sliding Mode Method for Carbon Fiber Diagonal Loom Tension Networked Control","authors":"Xiang Li, Fangjian Ning","doi":"10.1109/AIAM57466.2022.00132","DOIUrl":"https://doi.org/10.1109/AIAM57466.2022.00132","url":null,"abstract":"A data-driven discrete-time terminal sliding mode control method for carbon fiber diagonal loom tension networked control is proposed in this paper. Firstly, the influence of introducing network factors is fully considered, and a tension model containing network factors is finally established. Then, considering the nonlinear characteristics, a data-driven modeling method is introduced, and the single-step delay method is used to estimate the unknown total disturbance to improve the robustness of the system, a discrete terminal sliding mode surface is designed to compensate the influences of time-delay and packet loss, and a discrete terminal sliding mode controller with prescribed performance constraints is designed to further accelerate the error convergence speed and improve the control accuracy. Finally, the effectiveness of the control method is proved according to the simulation results.","PeriodicalId":439903,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)","volume":"35 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131433481","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 Key Technologies of Pedestrian Detection Based on Deep Learning 基于深度学习的行人检测关键技术研究
2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM) Pub Date : 2022-10-01 DOI: 10.1109/AIAM57466.2022.00153
Huihong Chen
{"title":"Research on Key Technologies of Pedestrian Detection Based on Deep Learning","authors":"Huihong Chen","doi":"10.1109/AIAM57466.2022.00153","DOIUrl":"https://doi.org/10.1109/AIAM57466.2022.00153","url":null,"abstract":"The deep learning pedestrian detection algorithm has the advantages of convolutional neural networks. It can not only improve the shortcomings of poor region selection and poor feature extraction robustness in traditional detection methods, but also extract the feature information of pedestrians more accurately. Therefore, the efficiency of deep learning pedestrian detection greatly exceeds that of traditional detection algorithms. Based on this background, the purpose of this paper is to deeply analyze the application principles of pedestrian detection algorithms based on deep learning.","PeriodicalId":439903,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128667035","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
Analysis of Attitude and Heading Computer System in Magnetic Disturbance State 磁扰动状态下姿态航向计算机系统分析
2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM) Pub Date : 2022-10-01 DOI: 10.1109/aiam57466.2022.00045
Yuanyuan Li, Tong Zhu, Ruyi Li
{"title":"Analysis of Attitude and Heading Computer System in Magnetic Disturbance State","authors":"Yuanyuan Li, Tong Zhu, Ruyi Li","doi":"10.1109/aiam57466.2022.00045","DOIUrl":"https://doi.org/10.1109/aiam57466.2022.00045","url":null,"abstract":"AHRS (Attitude and Heading Reference System) has low attitude accuracy under magnetic disturbance. Because of this, this paper designs an extended Kalman filter-based attitude and heading reference system in a magnetic disturbance state. In general, the AHRS system only uses the Kalman filter and has low attitude accuracy under magnetic disturbance. The AHRS system designed herein first calibrates the distorted magnetic field value under magnetic disturbance by using the ellipsoid fitting algorithm to improve the heading angle accuracy. After that, the data from the magnetometer, accelerometer, and gyroscope are combined using the extended Kalman filter technique. An adaptive measurement noise covariance matrix is created to lessen the influence of carrier vibration and external magnetic disturbance on attitude measurement, which enhances the system’s anti-interference ability and improves attitude measurement accuracy. Experiments show that the system can not only properly use the gyroscope’s drift but also improve the accuracy in attitude estimation, with the root mean square error of the three angles above 0.5°.","PeriodicalId":439903,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)","volume":"48 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131232307","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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