Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System最新文献_第5页

Cross-modal Retrieval based on Big Transfer and Regional Maximum Activation of Convolutions with Generalized Attention 基于大迁移和广义注意卷积区域最大激活的跨模态检索

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483872

Wenwen Yang, Yan Hua

{"title":"Cross-modal Retrieval based on Big Transfer and Regional Maximum Activation of Convolutions with Generalized Attention","authors":"Wenwen Yang, Yan Hua","doi":"10.1145/3483845.3483872","DOIUrl":"https://doi.org/10.1145/3483845.3483872","url":null,"abstract":"Image-text retrieval is a challenge topic since image features are still not good enough to represent the high-level semantic information, though the representation ability is improved thanks to advances in deep learning. This paper proposes a cross-modal image-text retrieval framework (BiTGRMAC) based on big transfer and region maximum activation convolution with generalized attention, where big transfer (BiT) trained with large amount data is utilized to extract image features and fine-tuned on the cross-modal image datasets. At the same time, a new generalized attention region maximum activation convolution (GRMAC) descriptor is introduced into BiT, which can generate image features through attention mechanism, then reduce the influence of background clustering and highlight the target. For texts, the widely used Sentence CNN is adopted to extract text features. The parameters of image and text deep models are learned by minimizing a cross-modal loss function in an end-to-end framework. Experimental results show that this method can effectively improve the accuracy of retrieval on three widely used datasets.","PeriodicalId":134636,"journal":{"name":"Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123419953","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 Image Copyright Confirmation and Protection Model Based on Blockchain 基于区块链的图像版权确认与保护模型研究

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483886

Zhengliang Wang, Taijun Li

引用次数: 0

The Communication Model of Negative Public Opinions of Corporate Based on Two-Layer Network 基于双层网络的企业负面舆情传播模型

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483868

Shu-qiong Chen, Xiaoli Wang

{"title":"The Communication Model of Negative Public Opinions of Corporate Based on Two-Layer Network","authors":"Shu-qiong Chen, Xiaoli Wang","doi":"10.1145/3483845.3483868","DOIUrl":"https://doi.org/10.1145/3483845.3483868","url":null,"abstract":"In the era of new media, the spread of negative corporate public opinion in social networks has a significant influence on enterprises and society. In order to improve the ability of enterprises to respond to public opinion, it is important to study the evolutionary dissemination process of negative corporate public opinion. Firstly, BA network and ER network are used to simulate the online network and offline network. Then, we construct a model for the spread of negative corporate public opinion on both online and offline networks based on the real situation, and providing the corresponding mean field equation and solving the threshold value for the spread of negative corporate public opinion. Finally, the model is validated with the Samsung cell phone explosion incident and some response strategies are proposed based on image restoration theory. The results of the study show that the study of negative corporate opinion dissemination process in online and offline two-layer networks can better reflect the evolution of negative corporate opinion in real society than in single-layer networks; After the occurrence of negative public opinion events, enterprises should take appropriate response strategies in time, otherwise it will be counterproductive.","PeriodicalId":134636,"journal":{"name":"Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127198221","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: 2

ANFIS-based Self-learning Expert System for Weapon Target Assignment Problem 基于anfiss的武器目标分配自学习专家系统

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483863

Changcheng Wang, Lisi Chen, Wencai Li, Kan Zeng

引用次数: 0

A Nonlinear Mechanic Model of a Zebrafish Embryo under Microinjection 显微注射下斑马鱼胚胎的非线性力学模型

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483895

Lilei Zhao, Liying Su, Nianqiang Cui, Zhuo Zhang, Xuping Zhang

{"title":"A Nonlinear Mechanic Model of a Zebrafish Embryo under Microinjection","authors":"Lilei Zhao, Liying Su, Nianqiang Cui, Zhuo Zhang, Xuping Zhang","doi":"10.1145/3483845.3483895","DOIUrl":"https://doi.org/10.1145/3483845.3483895","url":null,"abstract":"Cell microinjection has been widely used in medical and biological research because of its high transmission efficiency and low toxicity. The overlarge deformation of cells during microinjection is one important potential reason for its low survival rate after injection. Therefore, there are the existing studies that have tried to established linear mechanic deformation models of biological cells under microinjection. In this paper, based on electrothermally driven microclamps, a nonlinear viscoelastic model is established to estimate the deformation of a Zebrafish embryo clamped by a microgripper during microinjection. Firstly, a nonlinear viscoelastic model is proposed to describe the dynamic behavior with respect to injection speed, cell deformation, and puncture force of Zebrafish embryos during injection. Secondly, microinjection experiments of Zebrafish embryos are conducted to measure the injection force and deformation at different injection speeds. Finally, the parameters of the nonlinear viscoelastic model are identified with the experimental results, and the proposed model in this paper is compared with the existing linear model in terms of accuracy.","PeriodicalId":134636,"journal":{"name":"Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133840715","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

Visual Perception Method Based on Human Pose Estimation for Humanoid Robot Imitating Human Motions 仿人机器人基于人体姿态估计的视觉感知方法

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483894

T. Tao, Zhiwei Zhang, Xingyu Yang

引用次数: 1

Adaptive Neural Network Impedance Control of Robots Based on Reference Model 基于参考模型的机器人自适应神经网络阻抗控制

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483858

Ping Zhou, Wei-qing Ai, Longhe Yang

引用次数: 1

AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research and Education 自动驾驶模拟器:用于规模化自动驾驶汽车研究和教育的模拟器

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-03-18 DOI: 10.1145/3483845.3483846

Tanmay Vilas Samak, Chinmay Vilas Samak, Mingjuan Xie

{"title":"AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research and Education","authors":"Tanmay Vilas Samak, Chinmay Vilas Samak, Mingjuan Xie","doi":"10.1145/3483845.3483846","DOIUrl":"https://doi.org/10.1145/3483845.3483846","url":null,"abstract":"AutoDRIVE is envisioned to be an integrated research and education platform for scaled autonomous vehicles and related applications. This work is a stepping-stone towards achieving the greater goal of realizing such a platform. Particularly, this work introduces the AutoDRIVE Simulator, a high-fidelity simulator for scaled autonomous vehicles. The proposed simulation ecosystem is developed atop the Unity game engine, and exploits its features in order to simulate realistic system dynamics and render photorealistic graphics. It comprises of a scaled vehicle model equipped with a comprehensive sensor suite for redundant perception, a set of actuators for constrained motion control and a fully functional lighting system for illumination and signaling. It also provides a modular environment development kit, which comprises of various environment modules that aid in reconfigurable construction of the scene. Additionally, the simulator features a communication bridge in order to extend an interface to the autonomous driving software stack developed independently by the users. This work describes some of the prominent components of this simulation system along with some key features that it has to offer in order to accelerate education and research aimed at autonomous driving.","PeriodicalId":134636,"journal":{"name":"Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114106997","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: 14