Proceedings of the 6th International Conference on Virtual and Augmented Reality Simulations最新文献_第2页

Research on the Spread and Response Strategies of the New Crown Epidemic Based on Python Simulation Technology and SEIRS Model 基于Python仿真技术和SEIRS模型的新冠疫情传播与应对策略研究

Proceedings of the 6th International Conference on Virtual and Augmented Reality Simulations Pub Date : 2022-03-25 DOI: 10.1145/3546607.3546624

Yuhan Zhu, Yu-chang Dou, Minghui Zhao

{"title":"Research on the Spread and Response Strategies of the New Crown Epidemic Based on Python Simulation Technology and SEIRS Model","authors":"Yuhan Zhu, Yu-chang Dou, Minghui Zhao","doi":"10.1145/3546607.3546624","DOIUrl":"https://doi.org/10.1145/3546607.3546624","url":null,"abstract":"Under such severe circumstances, accurately predicting the development trend of the epidemic is of great significance for subsequent intervention and control. This paper proposes an improved SEIRS dynamic model based on the infectious disease prediction model (SEIR model), which can accurately predict the development trend of the new coronavirus pneumonia. First, the Python simulation technology combined with the SEIRS model was used to predict the spread of Wuhan in the 40 days since the outbreak, and compared with the real data in Wuhan. After fully verifying the correctness and applicability of the model, the model was applied to Shanghai. Next, use Python simulation technology to predict the spread and end time of the epidemic in Shanghai, and set different control intensities by changing the parameter , and analyze the impact of different control start times and different control intensities on the new crown pneumonia epidemic. Finally, the experimental results are analyzed to propose corresponding epidemic prevention and control measures, and the model in this paper is extended to a wider range of application scenarios.","PeriodicalId":114920,"journal":{"name":"Proceedings of the 6th International Conference on Virtual and Augmented Reality Simulations","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125108966","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

Integration of Open Geodata into Virtual Worlds 开放地理数据与虚拟世界的集成

Proceedings of the 6th International Conference on Virtual and Augmented Reality Simulations Pub Date : 2022-03-25 DOI: 10.1145/3546607.3546609

Florian Richter, Stefan Reitmann, B. Jung

引用次数: 0

Text-guided Attention Mechanism Fine-grained Image Classification 文本引导注意机制细粒度图像分类

Proceedings of the 6th International Conference on Virtual and Augmented Reality Simulations Pub Date : 2022-03-25 DOI: 10.1145/3546607.3546614

Xin Yang, Heng-Xi Pan

引用次数: 0

Remote Sensing Image Road Segmentation Detection Method Based on Asymmetric Convolution Net 基于非对称卷积网的遥感图像道路分割检测方法

Proceedings of the 6th International Conference on Virtual and Augmented Reality Simulations Pub Date : 2022-03-25 DOI: 10.1145/3546607.3546613

Gulnaz Alimjan, Shuangling Zhu, Yi Liang, Yilyar Jarmuhamat, Raxida Turhuntay, Pazilat Nurmamat

{"title":"Remote Sensing Image Road Segmentation Detection Method Based on Asymmetric Convolution Net","authors":"Gulnaz Alimjan, Shuangling Zhu, Yi Liang, Yilyar Jarmuhamat, Raxida Turhuntay, Pazilat Nurmamat","doi":"10.1145/3546607.3546613","DOIUrl":"https://doi.org/10.1145/3546607.3546613","url":null,"abstract":"The feature extraction of convolutional layer of neural network has an important influence on the accuracy of neural network identification, and it is very important to increase the ability of neural network to extract image features. The use of suitable convolutional neural network structure in limited practical applications can not be separated from tens of thousands of human operations, which is time-consuming and labor-intensive and easily leads to resource consumption. Thus, it is difficult to improve the performance of convolutional neural network architecture in research. When processing remote sensing images, it is not difficult to find that the road shapes in remote sensing images are often dense and fine, which limits the model to have a certain receptive field. Therefore, on the basis of integrating attention mechanism, this paper adds asymmetric convolution nets as the building blocks of CNN. By manipulating one-dimensional asymmetric convolution nets, the square convolution kernel is enhanced to show its own characteristics, so as to promote the accuracy of network training. That is, symmetric convolution nets are used to replace the original square kernel convolutional layer to construct the asymmetric convolution net (AC-Net). Then AC-Net is replaced by a similar initial architecture to increase the accuracy of the network and avoid unnecessary calculation. The effectiveness of AC-Net is inseparable from its ability to improve the robustness of the model to rotation distortion and the core skeleton of the square convolution kernel. The simulation results demonstrate the feasibility of this research method.","PeriodicalId":114920,"journal":{"name":"Proceedings of the 6th International Conference on Virtual and Augmented Reality Simulations","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129979903","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 News Recommendation Algorithm Based on Word2vec and Convolutional Neural Network 基于Word2vec和卷积神经网络的新闻推荐算法

Proceedings of the 6th International Conference on Virtual and Augmented Reality Simulations Pub Date : 2022-03-25 DOI: 10.1145/3546607.3546622

Zhengqi Ding, Chang Sun, Gang Sun, Qihang Liu, Zhi-wei Ma

引用次数: 0

The Application of Vision Transformer in Image Classification 视觉变换在图像分类中的应用

Proceedings of the 6th International Conference on Virtual and Augmented Reality Simulations Pub Date : 2022-03-25 DOI: 10.1145/3546607.3546616

Zhixuan He

引用次数: 0

Simulating Virtual Construction Scenes on OpenStreetMap 在OpenStreetMap上模拟虚拟建筑场景

Proceedings of the 6th International Conference on Virtual and Augmented Reality Simulations Pub Date : 2022-03-25 DOI: 10.1145/3546607.3546610

Wanwan Li

引用次数: 1

Mars Probe Landing Control Scheme Based on Dynamic Programming and Lion Swarm Algorithm 基于动态规划和狮子群算法的火星探测器着陆控制方案

Proceedings of the 6th International Conference on Virtual and Augmented Reality Simulations Pub Date : 2022-03-25 DOI: 10.1145/3546607.3546620

Sheng Gao, Tianyu Zhang

{"title":"Mars Probe Landing Control Scheme Based on Dynamic Programming and Lion Swarm Algorithm","authors":"Sheng Gao, Tianyu Zhang","doi":"10.1145/3546607.3546620","DOIUrl":"https://doi.org/10.1145/3546607.3546620","url":null,"abstract":"The success of Tianwen No. 1 mission is a landmark achievement of independent innovation and leapfrog development of China's aerospace industry. In this paper, a differential equation model based on Newton ' s second law and pulse theorem is established for the landing control problem of Tianwen-1 Mars probe. The fourth-order Runge-Kutta method and the lion swarm optimization algorithm are used to solve the shortest landing time of the probe, and the shortest landing time is calculated to be 7.1 min. At the same time, the control functions of the engine in the aerodynamic deceleration stage, parachute control stage and dynamic deceleration stage are simulated, and the shortest time-consuming scheme of the detector landing process is determined. When the life of the detector is fixed, this study can shorten the landing time and enter the working state as soon as possible, which can prolong the working time of the detector. To a certain extent, it makes up for the deficiency of the research on the landing time planning of the detector, has certain innovation, and promotes the further development of China ' s aerospace industry to a certain extent. At the same time, it provides some method reference and experience guidance for the shortest time of kinematic path planning in real life.","PeriodicalId":114920,"journal":{"name":"Proceedings of the 6th International Conference on Virtual and Augmented Reality Simulations","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132778791","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

Proceedings of the 6th International Conference on Virtual and Augmented Reality Simulations 第六届虚拟与增强现实模拟国际会议论文集

Proceedings of the 6th International Conference on Virtual and Augmented Reality Simulations Pub Date : 1900-01-01 DOI: 10.1145/3546607

引用次数: 0