Conference on Computer Graphics, Artificial Intelligence, and Data Processing最新文献

{"title":"RS-fusion: a novel virtual reality localization method based on RTK and visual SLAM","authors":"Zhitian Li, Weimin Zhang, Ye Tian, Fangxing Li","doi":"10.1117/12.2674691","DOIUrl":"https://doi.org/10.1117/12.2674691","url":null,"abstract":"Virtual reality technology is a new multidisciplinary integrated technology, in which localization technology is the key technology to determine the user experience, and is the core of VR technology. RTK and visual slam are two common localization technologies, however they are limited by satellite conditions and rely heavily on feature point extraction and matching effects, which will affect the accuracy of localization process. So as to achieve high-precision virtual reality spatial localization, this paper proposed a novel virtual reality localization method called RS-fusion, which combined the RTK carrier phase difference technology and the visual SLAM technology by Kalman fusion. In addition, the gain matrix is used to calculate the spatial displacement state to meet the accuracy requirements of virtual reality and augmented reality localization in indoor and outdoor environment, and to obtain a more matching virtual reality fusion effect and simulation mapping. Experiment results show the robustness of the method and RS-fusion can realize the simultaneous localization of cameras in real space and virtual space.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116394071","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}

{"title":"Research on quantitative evaluation method of test flight risk based on fuzzy theory","authors":"Qiong Zhang, Jun-jie Wang, Hao Zhang, Chun Jia","doi":"10.1117/12.2674598","DOIUrl":"https://doi.org/10.1117/12.2674598","url":null,"abstract":"Based on fuzzy mathematics, the safety evaluation of the whole process of C919 single flight test is carried out, and the evaluation indicators and assignment rules are determined on the basis of civil aviation industry standards and domestic and international test flight risk research. This study conducts a comprehensive evaluation from four aspects of \"human, plane, environment and flight test content\". Under the premise principles of comparability, scientificity, unity and practicability, this test flight evaluation is achieved based on fuzzy comprehensive evaluation with full consideration of safety factors and finally a single test flight safety level was obtained with good evaluation results.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114298146","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}

{"title":"Design and implementation of coroutine management environment","authors":"Bin Cai, Bingcheng Qiu, Jia Yao, J.W.C. Fu, Yunlan Xue, Xiaofei Liu, Ruilong Wu, Xu Zhang","doi":"10.1117/12.2674720","DOIUrl":"https://doi.org/10.1117/12.2674720","url":null,"abstract":"Advances in network and storage technologies enable data centers to provide high-concurrency and low-latency processing responses. To meet user needs, a variety of low-latency technologies can be used to improve the overall concurrent response capability of the system on the premise of ensuring system stability. User mode thread pool is one of the techniques that can be used. In a multi-core processor system, the scheduling management of the user mode thread pool is much more complicated. At present, the scheduling management of the user mode thread pool mainly focuses on the resource utilization of the user mode thread pool itself and the scheduling management of many user-mode threads, such as dynamically adjusting the number and usage of user mode threads in the user mode thread pool according to the load of the system, and replacing the system thread scheduling with user mode thread scheduling, etc. The existing user mode thread scheduling methods do not distinguish the performance requirements of different data processing tasks, treat all user mode thread tasks in the same way, cannot reflect the performance requirements of different user mode thread tasks, and cannot provide more fine-grained user mode thread execution timing control; the existing user mode thread scheduling methods do not provide more effective scheduling control for the host thread, but instead use the thread scheduling mechanism of the operating system itself to control the execution of all kernel threads which is difficult to isolate the host thread and other kernel threads in the system; the existing user mode thread scheduling methods cannot give full play to the parallel execution advantages of the multi-core processor architecture, and it is difficult to implement unified resource allocation management among multiple user mode thread pools. This paper provides a two-level scheduling management method for user mode thread pools that effectively integrates the operating system scheduling mechanism and user mode thread scheduling mechanism, which can distinguish the needs of different data processing tasks and implement more targeted and fine-grained user mode threads scheduling and execution control, without affecting the scheduling mechanism of the operating system itself, realize the isolation of host threads and non-host threads, implement differentiated scheduling control. And it can realize unified resource allocation management of multi-user thread pools for multi-core processor architecture so that the overall performance of the system can be freely scaled with the change of data task processing requirements to provide a more efficient user mode thread pool management for high concurrency and low latency systems.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128255899","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}

{"title":"Modeling of stereoscopic images in 3D environmental art design","authors":"Yue Yuan","doi":"10.1117/12.2674870","DOIUrl":"https://doi.org/10.1117/12.2674870","url":null,"abstract":"In order to meet the requirements of environmental design, this paper adopts a three dimensional projection oriented dioramma. In this paper, a method of minimizing matching cost is proposed to find the geometric model of the best model, so as to achieve better results. By using the geometric correlation of image elements, the coordinates of three dimensional space are reversed, and the accuracy of reconstruction is optimized. Through the simulation and data analysis, it is proved that the proposed method is much better than the existing reconstruction methods in the accuracy and complexity of multi dimensional space model, and the accuracy and complexity of reconstruction are better than the existing reconstruction methods in the same situation.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116364866","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}

{"title":"Mining library virtual reference service data by using the software NVivo 12","authors":"Leilei Peng, Ke Chen","doi":"10.1117/12.2674684","DOIUrl":"https://doi.org/10.1117/12.2674684","url":null,"abstract":"In the information age, virtual reference service (VRS) has gradually replaced the traditional face-to-face (F2F) reference and become an important way of reference for library users. Based on grounded theory, this research uses NVivo12 software to mine the virtual reference service data of users in the Sichuan University library, the first is high-frequency word analysis, and the second is mining the data by combining open coding, spindle coding, and selective coding. The analysis results of high-frequency words show that in the process of using various services of the library, the contents of the virtual reference service mainly focus on the following aspects: hours, literature resources, space, and facilities. The coding results show that the library virtual reference service data could be encoded into three core categories, they are \"library spaces and facilities\", \"collections and electronic resources\" and \"services\", where \"library spaces and facilities\" is the most concern aspect of the library users, which has 359 nodes, accounting for 50.71% of the total, and the proportion of \"collections and electronic resources\" and \"Services\" is not much different, 27.26% and 22.03%, respectively.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128165727","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}

{"title":"Sentiment analysis of food safety internet public opinion based on XLNet","authors":"Hu Wang, Chaofan Jiang, Changbin Jiang, Di Li","doi":"10.1117/12.2674590","DOIUrl":"https://doi.org/10.1117/12.2674590","url":null,"abstract":"Internet public opinion sentiment analysis is significant for managing and controlling food safety events. Since emotions can play a decisive role in behavior, netizens’ emotions towards the food safety events will influence their expressions of opinions on the Internet, thereby influencing the development of public opinion on the events. However, few scholars have analyzed the sentiment of Internet public opinion regarding food safety. We employ XLNet, a dynamic text representation method, to build context-dependent word vectors for the distributed representation of Internet public opinion in order to better analyze Internet public opinion on food safety events according to its characteristics. Then, we input the word vectors into Convolutional Neural Networks (CNN) and Bi-directional Long Short-Term Memory (BiLSTM) layers for local semantic features and contextual semantic extraction. Additionally, we introduce an attention mechanism to assign different weights to the features based on their importance before conducting sentiment tendency analysis. The experimental results showed that the average accuracy and Fl values of the sentiment analysis model proposed in this study for Internet public opinion regarding food safety reached 94.12% and 94.61%, respectively, which achieved better results than comparable sentiment analysis models.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127936540","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}

{"title":"Research on collision detection between objects based on binocular vision","authors":"Meiqi Wang, Nannan Zhang, Peifeng Hao","doi":"10.1117/12.2674649","DOIUrl":"https://doi.org/10.1117/12.2674649","url":null,"abstract":"With the increasing number of monitoring equipment, it is necessary to study whether there is a collision between objects in the image. In this paper, taking the monitoring of whether the transmission wire and the plastic bag collide as an example, aiming at the shortage of collision between objects in the image, especially the inaccurate detection results and long calculation time, we propose a collision detection algorithm. Firstly, detect the target wire and plastic bag in the picture, and judge whether there is a coincidence between the wire and plastic bag in two-dimensional space. If there are no overlapping spots in two dimensions, there is no collision between the wire and plastic bag. On the contrary, measure the position coordinate information in its three-dimensional coordinate system by binocular vision digital measurement method, and surround the wire and plastic bag by bounding boxes respectively. Finally, judge whether there is collision between them by calculation. Compared with the collision detection algorithm based on two-dimensional space, the accuracy of detection is improved. Compared with the complete use of binocular distance measurement for collision detection, the detection speed is significantly improved and the detection efficiency is effectively improved.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115776266","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}

{"title":"A DeepFake compressed video detection method based on dense dynamic CNN","authors":"Xiuqing Mao, Lei Sun, Hongmeng Zhang, Shuai Zhang","doi":"10.1117/12.2674838","DOIUrl":"https://doi.org/10.1117/12.2674838","url":null,"abstract":"The emergence of DeepFake poses serious risks to data privacy and social stability. We propose an end-to-end DeepFake video detection method based on a dense dynamic convolutional neural network (CNN) to address the poor performance of DeepFake video detection on complex compression formats and datasets of different forgery methods. In this method, extracted face images are clustered and cleaned by cosine similarity, and face images are expanded through data augmentation to improve data diversity. Dynamic dense blocks are incorporated in a CNN to address optimization difficulties in deep neural networks, and an attention mechanism further improves generalization power. Convolution kernel pruning increases processing speed by effectively reducing the computational needs due to dynamic convolution. Experiments demonstrate that this method has better results on DeepFake video detection across compression rates and datasets compared to other network models.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131930742","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}

{"title":"Recommendation learning algorithm driven by knowledge map and deep learning and their application in lifelong learning","authors":"Yunlan Xue, Guoxia Zou","doi":"10.1117/12.2674677","DOIUrl":"https://doi.org/10.1117/12.2674677","url":null,"abstract":"With the rapid development of social economy, lifelong learning has become one of people’s main tasks. How to recommend appropriate learning resources according to learners’ preferences has become a concern by more and more researchers. This paper takes the personalized recommendation of learning resources as the research object. Firstly, the semantic relationship of learning resources is extracted by knowledge map to realize the vectorization representation of learning resources. Based on this training convolutional neural network model, learning resources recommendation list is generated. Secondly, user-based recommendation algorithm is adopted in user behavior analysis with the purpose of generating learning resource recommendation list. Finally, the above recommendation list is gathered to realize the personality of learning resources, which can realize information filtering to the greatest extent, reduce the user information load. The results show that when the fusion ratio is close to 0.5, the algorithm recommendation accuracy and recall rate are higher, and the user’s preferences and interests have a higher degree of coincidence; the deviation between the recommended learning resources download amount and the user’s actual learning resources download amount is smaller; the proportion of recommended learning resources in the total learning resources is increased; and some unexpected learning resources can be found and recommended to the customers. When the sparsity of experimental data set is smaller, the accuracy, recall rate, coverage rate and MAE index of the personalized learning resource recommendation algorithm proposed in this paper are significantly higher.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131817830","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}

{"title":"Multiple vehicle detection and tracking using improved YOLOv5 and strong SORT","authors":"Yinan Zhang, T. Zhang, Zhichao Huang","doi":"10.1117/12.2674583","DOIUrl":"https://doi.org/10.1117/12.2674583","url":null,"abstract":"Multiple object tracking (MOT) is an important subject in applications of computer vision As a subtask of object detection and tracking, vehicle tracking has important research significance. This paper proposes a vehicle tracking and detection technology which is based on improved YOLOv5 and Strong SORT. The YOLOv5 combined with the CBAM attention mechanism work as the detector of Strong SORT in the tracking process, this arrangement decreases computational time. Experiments proved that this proposed algorithm can effectively deal with the problems of object occlusion, target loss, and ID switch. The trained model is easy to deploy for an embedded device, which makes it a very good candidate for a real-time surveillance system.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130718065","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}