2021 International Conference on Computers and Automation (CompAuto)最新文献_第3页

Dissemination of Cultural Heritage: Design and Implementation of a VR environment for the preservation of art and culture in Pujilí - Ecuador 文化遗产的传播:设计和实现在Pujilí -厄瓜多尔保护艺术和文化的虚拟现实环境

2021 International Conference on Computers and Automation (CompAuto) Pub Date : 2021-09-01 DOI: 10.1109/CompAuto54408.2021.00019

Ricardo Plasencia, Gabriela Herrera, Lucas Garces, Edison Espinosa

{"title":"Dissemination of Cultural Heritage: Design and Implementation of a VR environment for the preservation of art and culture in Pujilí - Ecuador","authors":"Ricardo Plasencia, Gabriela Herrera, Lucas Garces, Edison Espinosa","doi":"10.1109/CompAuto54408.2021.00019","DOIUrl":"https://doi.org/10.1109/CompAuto54408.2021.00019","url":null,"abstract":"Technology through time has been a fundamental mean in the development and cultural evolution, changing the perspective of the human being with the world in relation to the reconstruction of memory and the historical past. In this context, Ecuador seeks to adapt to the rapid changes of the technological era and solve the problems caused by the pandemic caused by the outbreak of COVID-19 in early 2020, in the interruption of cultural and economic activities. At the local level, Pujilí, Land of the DANZANTE, considered intangible cultural heritage of humanity, has not been exempt from this situation, being the Cultural area the most affected. For this reason, the current research, PUJILÍ MUSEUM, proposes a means of dissemination and preservation of Art and Culture, adapted to current changes, through a Virtual Reality mobile application that integrates 3D modeling technologies and reconstruction by Photogrammetry, to improve the quality and immersion, allowing visitors to immerse themselves in a world full of history, art and culture, music, and tradition. The application was tested by 30 users/visitors who had mid/high range mobile devices, applying the convenience sampling technique, in order to know the levels of satisfaction and learning of the different interactive areas. The experimental results showed a positive effect on visitors and a high level of acceptance when using the virtual environment. This has been corroborated by the number of downloads, ratings, and reviews.","PeriodicalId":236754,"journal":{"name":"2021 International Conference on Computers and Automation (CompAuto)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130532412","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

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2021 International Conference on Computers and Automation (CompAuto) Pub Date : 2021-09-01 DOI: 10.1109/compauto54408.2021.00001

引用次数: 0

Multi-physics Analysis of a Loudspeaker for the Elderly 老年扬声器的多物理场分析

2021 International Conference on Computers and Automation (CompAuto) Pub Date : 2021-09-01 DOI: 10.1109/CompAuto54408.2021.00030

Zih-Chun Dai

引用次数: 0

Neural Network-Cascade UDE Based Tracking Control of Leader-Follower Agents with Compound Uncertainties 具有复合不确定性的Leader-Follower agent的神经网络级联UDE跟踪控制

2021 International Conference on Computers and Automation (CompAuto) Pub Date : 2021-09-01 DOI: 10.1109/CompAuto54408.2021.00024

Tong Li, Weihao Li, Zhiqiang Li, Mengji Shi, Boxian Lin, Zixuan Liu

{"title":"Neural Network-Cascade UDE Based Tracking Control of Leader-Follower Agents with Compound Uncertainties","authors":"Tong Li, Weihao Li, Zhiqiang Li, Mengji Shi, Boxian Lin, Zixuan Liu","doi":"10.1109/CompAuto54408.2021.00024","DOIUrl":"https://doi.org/10.1109/CompAuto54408.2021.00024","url":null,"abstract":"This paper concerns with the multi-agent distributed leader-follower tracking control problems in the presence of compound uncertainties. These unknown time-varying parts not only lie in the both integral units of the second-order follower dynamics, but also show up in the leader’s kinematics. A cascade uncertainty and disturbance estimator (CUDE) based backstepping controller is designed for the followers, which is capable of handling the model uncertainties and input disturbances that respectively appearing in their first-and second-order integral units. However, UDE based methods require accurate modeling of the control system, while the leader is not controllable. Thus, for the leader, the uncertain parts are compensated by constructing a neural network (NN) estimation mechanism. Adaptive estimation parameters are designed according to Lyapunov stability theories to enhance the robustness of the system. The combination of NN and CUDE requires less computational resource than conventional NN-based methods while enabling a valuation of the uncertainty in the leader’s equation. Finally, a numerical simulation is conducted to verify the effectiveness of the control scheme.","PeriodicalId":236754,"journal":{"name":"2021 International Conference on Computers and Automation (CompAuto)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131097056","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

Study of the locomotion of a hexapod using CoppeliaSim and ROS 利用CoppeliaSim和ROS研究六足机器人的运动

2021 International Conference on Computers and Automation (CompAuto) Pub Date : 2021-09-01 DOI: 10.1109/CompAuto54408.2021.00027

Joana Coelho, Rafaela Sá, T. Ribeiro, F. Ribeiro, Bruno Dias, G. Lopes, P. Flores

引用次数: 0

Kernel Choices in One-class Support Vector Machines for Novelty Detection 一类支持向量机新颖性检测的核选择

2021 International Conference on Computers and Automation (CompAuto) Pub Date : 2021-09-01 DOI: 10.1109/CompAuto54408.2021.00013

Yihong Zheng, Zhekuan Zhou, Zhaoyang Li, Dongzhe Li

引用次数: 0