Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence最新文献_第3页

Reusing of C source code based on C-XML 基于C- xml的C源代码重用

Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2020-10-17 DOI: 10.1145/3438872.3439071

Yuan Zhao, Kesen Wang, Lijun Zhou

引用次数: 0

Modeling, Simulation and Verification of Quadrotor UAV 四旋翼无人机建模、仿真与验证

Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2020-10-17 DOI: 10.1145/3438872.3439053

Zupeng Zhou, Huan Wei, Xufeng Liu, Lang Lu, Yihua Wang, Yanzhao Lv

引用次数: 1

Intelligent Distributed Web Crawler Based on Attention Mechanism 基于注意力机制的智能分布式网络爬虫

Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2020-10-17 DOI: 10.1145/3438872.3439085

Yi Wu, Yan Song, Hongshan Yang

{"title":"Intelligent Distributed Web Crawler Based on Attention Mechanism","authors":"Yi Wu, Yan Song, Hongshan Yang","doi":"10.1145/3438872.3439085","DOIUrl":"https://doi.org/10.1145/3438872.3439085","url":null,"abstract":"With the rapid development of the Internet, webpages' content has become the central platform for people to publish and retrieve information. Recently, web crawlers could quickly and accurately find the information users need from the massive network information resources. There have been many different types of web crawlers in the literature, developed for data retrieval. However, most of the existing web crawlers have significant limitations. For example, they focus on the effective overall architecture instead of paying attention to the actual data's complexity. Moreover, the advertising links in the news and the public platform's promotional content have become ubiquitous noise. The existing web crawler collection strategy lacks sufficient identification of advertising information. The degree of automation to detect advertisements is low, so it isn't easy to form a complete and deployable large-scale distributed data crawling system. Therefore, the research and improvement of distributed web crawlers that intelligently distinguish advertisements is a work of practical significance. The distributed intelligent web crawler system designed and implemented in this paper solves low manual crawler efficiency and poor data quality. The crawler system can effectively identify and eliminate advertising information and significantly improve the automatically extracted data in the distributed crawler system from the experimental results.","PeriodicalId":199307,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127736736","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

CEN: Concept Evolution Network for Image Classification Tasks 图像分类任务的概念演化网络

Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2020-10-17 DOI: 10.1145/3438872.3439080

Da Huang, Xing Chen

引用次数: 0

A survey of text classification models 文本分类模型综述

Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2020-10-17 DOI: 10.1145/3438872.3439101

JinXiong Yang, Liang Bai, Yanming Guo

引用次数: 6

Application of High Precision GPS-BD RTK Differential Positioning in UAV 高精度GPS-BD RTK差分定位在无人机上的应用

Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2020-10-17 DOI: 10.1145/3438872.3439063

Hongying Tian, Peiyuan Wang, Xinhua Zhu

引用次数: 0

A fast filter enhancement method for the infrared image 红外图像的快速滤波增强方法

Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2020-10-17 DOI: 10.1145/3438872.3439102

Wei Qi, Dongjing Wang, Wei Li

{"title":"A fast filter enhancement method for the infrared image","authors":"Wei Qi, Dongjing Wang, Wei Li","doi":"10.1145/3438872.3439102","DOIUrl":"https://doi.org/10.1145/3438872.3439102","url":null,"abstract":"Recent advances in image enhancement explored the power of convolutional neural network (CNN) to achieve a better performance. Despite the great success of CNN-based methods, it is not easy to apply these methods to edge devices (such as FPGA, ASIC) due to the requirement of heavy computation, and the CNN-based methods heavily rely on the training datasets. In this paper, we propose a simple method for image enhancement, without any training steps. We tackle a fundamental yet challenging problem to improve the quality of the infrared images. This type of low light is very common during the infrared photo taking. We found existing methods, based on local or global information, cannot improve the quality of the infrared images, which have been designed for RGB images. We propose a simple yet effective filter via two common parts, named structure recovery and noise removal. It directly establishes correspondence between accuracy and speed for the further applications. Extensive experimental results show that the proposed method achieves a better trade-off against the other methods in terms of performance and model complexity. Moreover, our method achieves 65fps on the edge device.","PeriodicalId":199307,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116064076","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

Color restoration algorithm of Rubik's cube color block based on SVM classification 基于SVM分类的魔方色块颜色恢复算法

Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2020-10-17 DOI: 10.1145/3438872.3439050

Qin Qin, Zhaoyi Hu, Xin Wang

{"title":"Color restoration algorithm of Rubik's cube color block based on SVM classification","authors":"Qin Qin, Zhaoyi Hu, Xin Wang","doi":"10.1145/3438872.3439050","DOIUrl":"https://doi.org/10.1145/3438872.3439050","url":null,"abstract":"Under different color temperatures, the image will change color to different degrees during the process from collection to display. In the process of acquisition and digital conversion, the image will be disturbed by ambient noise and light environment, resulting in errors. The change of illumination environment and color difference will reduce the success rate of color recognition. This paper proposes an color restoration algorithm of Rubik's cube color block based on SVM classification to solve the above problems. Firstly, the image edge is processed through OpenCV gaussian filter, and then the image is processed through RGVHSV color domain conversion. The classification model of the six colors of Rubik's cube was established by studying the SVM classifier algorithm, so as to improve the color capture accuracy of Rubik's cube. At the same time, according to the overall structure of the Rubik's cube, the corner, edge and center block patching algorithm is proposed, the SVM category model is combined with the color patching algorithm, and the color of each cube block is obtained according to the color value predicted by the classifier and the color patching algorithm. Experimental simulation shows that the algorithm can effectively improve the speed and accuracy of the system to identify the color of Rubik's cube and accurately identify the color of Rubik's cube.","PeriodicalId":199307,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125579018","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

An adaptive hybrid fault-tolerant control system design for aeroengine sensor and actuator faults 航空发动机传感器和执行器故障自适应混合容错控制系统设计

Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2020-10-17 DOI: 10.1145/3438872.3439056

Xiaofeng Liu, Liuqi Xiong, C. Luo

引用次数: 2

Research on Fault Diagnosis Strategy of Dual Three-Phase Permanent Magnet Synchronous Motor Drive System Based on Current Residual Errors 基于电流残差的双三相永磁同步电机驱动系统故障诊断策略研究

Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2020-10-17 DOI: 10.1145/3438872.3439116

Kang Chen, Shanshan Chen

引用次数: 1