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.
{"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}
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.
{"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}
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.
{"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}
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.
{"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}
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.
{"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}
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.
{"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}
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.
{"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}
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.
{"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}
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.
{"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}
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.
{"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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：