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Research on the construction of smart museum big data model 智慧博物馆大数据模型构建研究
International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667467
Zhiming Zhang, Lingling Hu
{"title":"Research on the construction of smart museum big data model","authors":"Zhiming Zhang, Lingling Hu","doi":"10.1117/12.2667467","DOIUrl":"https://doi.org/10.1117/12.2667467","url":null,"abstract":"The current situation of Museum data is generally faced with common problems such as scattered data resources, lack of high-quality cataloguing and labeling information, and difficult data management, resulting in the phenomenon of low data utilization. It is suggested that the establishment of a special institution to centrally manage Museum data assets, the unified design of Museum big data model, and the improvement of data analysis capability are the three measures to improve the big data capability. Two big data model design methods from technology to business and from business to technology are described. We study the three key points of building the museum big data model. The comprehensive application of the above measures, design methods and technical points can effectively ensure the continuous improvement of the museum's big data capability.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124882434","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
Big data real-time processing architecture based on Hadoop 基于Hadoop的大数据实时处理架构
International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667514
Yong Cao
{"title":"Big data real-time processing architecture based on Hadoop","authors":"Yong Cao","doi":"10.1117/12.2667514","DOIUrl":"https://doi.org/10.1117/12.2667514","url":null,"abstract":"The data generated in the Internet age is increasing exponentially. Sometimes such a huge amount of data cannot be processed in time, and people cannot dig out useful information from it. In order to realize the efficient processing of massive data, this paper develops a big data real-time processing architecture based on the Hadoop platform, uses HBase as the database, and combines the C# programming language and the MapReduce programming mode to design a big data processing system, so that users can view and upload data through mobile devices. The data processing results of the cloud computing center. The performance test of MapReduce and various functional modules of the big data processing architecture is carried out. The test results show that MapReduce has certain advantages in processing big data, and the data processing time of each functional module increases with the increase of data volume.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121989002","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
Image recognition for defect screening of circuit board plug-in solder joints 用于电路板插入焊点缺陷筛选的图像识别
International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667302
Yufeng Luo, Li Shen
{"title":"Image recognition for defect screening of circuit board plug-in solder joints","authors":"Yufeng Luo, Li Shen","doi":"10.1117/12.2667302","DOIUrl":"https://doi.org/10.1117/12.2667302","url":null,"abstract":"For small and medium-sized electronic enterprises to produce plug-in circuit boards, due to the size of the enterprise, order requirements and other reasons, small and medium-sized electronic enterprises usually use manual visual inspection of plug-in circuit boards for inspection. Based on the Vision Developments Module of LabView software, we can detect the solder joint defects of plug-in circuit boards. According to the actual production of different types of circuit boards, the solder joints are classified, and then the representative qualified solder joints are extracted to make standard solder joint templates, which are matched with the images of the plug-in circuit boards to be tested through multiple template geometry matching to achieve automatic detection of solder joints with 93% detection accuracy.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123403863","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 virtual reality technology in the treatment of bulimia nervosa and binge eating disorder 虚拟现实技术在神经性贪食症和暴食症治疗中的应用
International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667221
Shaoying Peng, Tian Guo, Ting Wang
{"title":"Application of virtual reality technology in the treatment of bulimia nervosa and binge eating disorder","authors":"Shaoying Peng, Tian Guo, Ting Wang","doi":"10.1117/12.2667221","DOIUrl":"https://doi.org/10.1117/12.2667221","url":null,"abstract":"With the continuous development of computer technology and human-computer interaction system, virtual reality technology has been widely used in all aspects of social life.The application of virtual reality technology in psychotherapy provides a new idea for the intervention of eating disorders whose main symptoms are bulimia nervosa and binge eating disorder.In this paper, the application of virtual reality technology in the treatment of bulimia nervosa and binge eating disorder was discussed by reviewing relevant studies at home and abroad, and the future research was prospected.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133647237","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
Human body features recognition using 3D scale invariant feature transform 基于三维尺度不变特征变换的人体特征识别
International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667373
Chenglin Zhou, Ye Yuan
{"title":"Human body features recognition using 3D scale invariant feature transform","authors":"Chenglin Zhou, Ye Yuan","doi":"10.1117/12.2667373","DOIUrl":"https://doi.org/10.1117/12.2667373","url":null,"abstract":"Focusing on applications to the three-dimensional (3D) garment computer aided design (CAD)system, a human features recognition method based on 3D scale invariant feature transformation (SIFT) is proposed in this paper. First of all, pre-processing is performed on the 3D scanned human body, which are the noise reduction and the conversion into point cloud format. Then the 3D scale-invariant feature transformation constrained by directional gradient constraints is used to extract the feature points of the human point cloud model, and the measurement results are recorded. Finally, according to definitions of reference points for garment anthropometry and the actual measurement value corresponding to the human body, the comparison and analysis of diverse recognition algorithms is given. Simulation results show that the proposed method in this paper is valid and effective.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116180909","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
Cable design based on three-dimensional design technology 基于三维设计技术的电缆设计
International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667432
Kejian Nie, Ji Cheng, Xingyun Chen
{"title":"Cable design based on three-dimensional design technology","authors":"Kejian Nie, Ji Cheng, Xingyun Chen","doi":"10.1117/12.2667432","DOIUrl":"https://doi.org/10.1117/12.2667432","url":null,"abstract":"As the development of power system, more and more transmission line engineering are turning into cable design in city or some built-up areas. Three-dimensional design is a new design method which is more suitable for cable project than traditional CAD 2D design. This paper shows the several work we have made to develop the three-dimensional design and introduces the main design process for the cable three-dimensional design. Finally, a case of hybrid overhead line and cable project is been shown, which shown the advantages of the three-dimensional design for the cable project.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122389148","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
Mature tomato recognition and location algorithm based on binocular vision and deep learning 基于双目视觉和深度学习的成熟番茄识别与定位算法
International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667265
Guohua Gao, Ciyin Shuai, Shuangyou Wang
{"title":"Mature tomato recognition and location algorithm based on binocular vision and deep learning","authors":"Guohua Gao, Ciyin Shuai, Shuangyou Wang","doi":"10.1117/12.2667265","DOIUrl":"https://doi.org/10.1117/12.2667265","url":null,"abstract":"This paper proposes a method combining binocular vision and deep learning to identify and locate ripe tomatoes in greenhouses. First, the CBAM attention mechanism module is added to the YOLO V3 model to improve the robustness of the YOLO V3 model to the greenhouse environment, and then the tomato results identified by the improved YOLOV3 CBAM are fused with the three-dimensional information obtained by the binocular stereo camera. to obtain the threedimensional position information of the tomato fruit. After testing, the model has an accuracy of 89.15% for tomato recognition, the AP is 86.17%, and the F1 value is 82%. The relative error of the tomato fruit positioning is less than 1.5%. Finally, the model was arranged in the greenhouse to test the tomato picking robot, which verifies the practicability of the method.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117135841","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
Researches advanced in face recognition 人脸识别研究取得进展
International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667436
Lyujun Yue
{"title":"Researches advanced in face recognition","authors":"Lyujun Yue","doi":"10.1117/12.2667436","DOIUrl":"https://doi.org/10.1117/12.2667436","url":null,"abstract":"Face recognition has always been a popular research task in the field of computer vision, which aims to identify the people by analyzing the relationship between the local features of the face (nose, mouth, eyes, etc.), and has been widely used in public security, mobile smart devices, transportation and many other fields. Depending on whether there is external occlusion, face recognition task mainly includes unoccluded face recognition and more challenging occluded face recognition. Through a detailed literature survey and analysis, this paper firstly introduces the representative unoccluded face recognition methods from five perspectives: based on geometric features, based on global features, based on local features, based on FaceNet and based on elastic graph matching. The classical methods and principles of occluded face recognition are further introduced, and the above-mentioned representative face recognition algorithms are quantitatively compared and analyzed. Finally, we discuss the remaining problems and future development directions in the field of face recognition.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114365991","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
Error analysis of an unmanned aerial vehicle’s target positioning at sea 无人机海上目标定位误差分析
International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667497
Zhi Wang, Zhangsong Shi, Hao Wu, Pengfei Wu, Zhonghong Wu
{"title":"Error analysis of an unmanned aerial vehicle’s target positioning at sea","authors":"Zhi Wang, Zhangsong Shi, Hao Wu, Pengfei Wu, Zhonghong Wu","doi":"10.1117/12.2667497","DOIUrl":"https://doi.org/10.1117/12.2667497","url":null,"abstract":"This analytic study was performed with the focus on the target positioning of an unmanned aerial vehicle (UAV) and its error. It intended to enhance the positioning accuracy for the strike of naval guns at the targets at sea. A UAV’s target positioning model was first constructed after introducing five coordinate systems from camera coordinate system to geodetic coordinate system as well as the transformation of these coordinate systems. Subsequently, an error analysis model was established with the Monte Carlo method and based on the error sources affecting the accuracy of target positioning. In the end, a numerical simulation was conducted to quantitatively analyze the influence of these error sources on the target positioning accuracy. The simulation results proved that larger positioning errors must be attributed to the UAV’s attitude angle and the distance.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115457914","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 manifold nonnegative matrix decomposition algorithm for weakly supervised text classification 弱监督文本分类的流形非负矩阵分解算法研究
International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI: 10.1117/12.2667485
Weiqiang Xiao, Xiaoli Chai, Danmo Zhang
{"title":"Research on manifold nonnegative matrix decomposition algorithm for weakly supervised text classification","authors":"Weiqiang Xiao, Xiaoli Chai, Danmo Zhang","doi":"10.1117/12.2667485","DOIUrl":"https://doi.org/10.1117/12.2667485","url":null,"abstract":"Traditional text classifiers that rely on supervised learning methods always require a large number of labeled documents. Labeling the documents often requires a certain amount of expertise to ensure the accuracy, which is time-consuming and costly. Therefore, a dataless text classifcation method around a small number of easily accessible label descriptions, ie, seed words,rather than surrounding the labeled documents to provide the supervision information for the classification task, shows a good development prospect. However, since the size of the seed word set is much smaller than the word set contained in the document , many documents do not contain any seed words or even contain some irrelevant seed words, which limits the effect of the seed word supervision. The manifold assumption suggests that highly similar texts tend to belong to the same category, so we maintain a local neighborhood structure for each document and construct a manifold regularizer to spread limited the supervised information between similar documents. We propose a Laplacian Nonnegative Matrix Factorization (LapNMF) method，adding the seed word prior information and document manifold into the framework of non-negative matrix factorization. And use the block corrdinate desent method to solve the problem. Experiments show that in most cases, our LapNMF performs better than the current weakly supervised classification methods, showing certain competitiveness.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115667838","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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