2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)最新文献_第7页

Reconstructions of Analytic Signals via Alternating Direction Method of Multipliers 用乘法器交替方向法重构解析信号

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00078

Shuang Li

引用次数: 0

Recognition of Engineering Vehicles in Aerial Images of Multi Rotor UAV 多旋翼无人机航拍图像中的工程车辆识别

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00082

Haiyang Zheng, Yingchun Zhong, Wenxiang Zhang, Zhiyong Luo, Bo Wang

{"title":"Recognition of Engineering Vehicles in Aerial Images of Multi Rotor UAV","authors":"Haiyang Zheng, Yingchun Zhong, Wenxiang Zhang, Zhiyong Luo, Bo Wang","doi":"10.1109/ISCEIC53685.2021.00082","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00082","url":null,"abstract":"It is one of the significant tasks of power inspection by multi rotor Unmanned Aerial Vehicle (UAV) to recognize engineering vehicles in aerial images. If there are engineering vehicles working near or below the high-voltage power line, the UAV would give out the important early warning message to avoid the situation that the bucket or boom of the engineering vehicle enters the safe distance from the high-voltage power line, and reduce accidents such as short circuit breakdown. Aiming at the problem of recognition of engineering vehicles in aerial images of UAV inspection, this paper proposed an improved capsule network method. First, the structure of original capsule network is replaced with a multi-layer densely connected capsule network. Next, the dynamic routing algorithm of the capsule network is improved. As the results of experiments have shown, (1) the improved capsule network method gets a mAP of 93.74% for the recognition of engineering vehicles, and its parameter scale is smaller than other methods. (2) The number of network layers influences the recognition precision greatly. Their relationship is non-monotonic and nonlinear. In addition, whether or not to improve the dynamic routing algorithm does not affect the trends of recognition mAP. The overall performance of the improved capsule network method is obviously better than YOLOv5 and other artificial feature extraction methods.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121138596","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

Distributed Storage of Meteorological Grid Data based on HBase 基于HBase的气象网格数据分布式存储

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00041

Honghao Yu, Hong Jia

引用次数: 0

Global optimization image completion processing based on generative countermeasure network 基于生成对抗网络的全局优化图像补全处理

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00088

Xin Zhen, Jinhua Li

引用次数: 0

Workflow task scheduling optimization strategy in moving edge computing environment 移动边缘计算环境下工作流任务调度优化策略

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00009

Haiyan Lv, Zhihong Zhang

引用次数: 1

Influence on distributed airport site selection from ground-effect wind field of UAV 无人机地效风场对分布式机场选址的影响

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00074

Wenxiang Zhang, Yingchun Zhong, Zongyang Wang, Zhiyong Luo, Bo Wang

{"title":"Influence on distributed airport site selection from ground-effect wind field of UAV","authors":"Wenxiang Zhang, Yingchun Zhong, Zongyang Wang, Zhiyong Luo, Bo Wang","doi":"10.1109/ISCEIC53685.2021.00074","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00074","url":null,"abstract":"It is one of the key steps of unmanned aerial vehicles (UAVs) autonomously cruising to touch down the distributed airport automatically and accurately. The ground-effect wind field is one of the main factors to influence the touching down precision of UAV. In order to explore how much the ground-effect wind field influence the touching down precision, this paper chooses a quadrotor UAV with 400mm diameter as the research object, establishes the model of UAV and the ground-effect wind field, analyzes the touching down results while the distributed airport is at the opening and flat scene, the scene with single-sided vertical obstacle and the scene with bi-symmetrical vertical obstacles respectively. The experimental results show that: (1) there is little affection on the accuracy of touching down when the distributed airport is at the opening and flat scene. (2) The ground-effect wind field has great affection on the accuracy of touching down when the distributed airport is at the scene with single-sided vertical obstacle. If the distance between the UAV and the single-sided vertical obstacle is less than 1 meter, the UAV is very easy to overturn. (3) When the distributed airport is at the scene with bi-symmetrical vertical obstacles, the accuracy of touching down is decided by the height of the vertical obstacle. The investigation of this paper is very significant to select the location of distributed airport.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123025953","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 Improved Anchor-Free Detection Method for Traffic Sign Detection 一种改进的无锚检测交通标志检测方法

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00079

Tonghe Ding, Kaili Feng, Tianping Li, Zhifeng Liu

引用次数: 0

A jamming identification method based on deep learning for networking radars 基于深度学习的网络雷达干扰识别方法

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00080

Xiaoyu Cong, Pandong Zhang, Yubing Han

引用次数: 1

Design of multi-pulse waveforms using polyphase complementary phase-coding in MIMO radar MIMO雷达中基于多相互补相位编码的多脉冲波形设计

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00086

Qin Zhu, Jun Tang, Jinwang Yi, Qiuyue Yin

引用次数: 0

Regression prediction of material grinding particle size based on improved sparrow search algorithm to optimize BP neural network 基于改进麻雀搜索算法优化BP神经网络的物料研磨粒度回归预测

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00052

Shida Zhang, Jingyu Zhang, Zehua Wang, Quanhu Li

{"title":"Regression prediction of material grinding particle size based on improved sparrow search algorithm to optimize BP neural network","authors":"Shida Zhang, Jingyu Zhang, Zehua Wang, Quanhu Li","doi":"10.1109/ISCEIC53685.2021.00052","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00052","url":null,"abstract":"Aiming at the problem that the common material grinding factors in the industry are complex and it is difficult to accurately predict the output particle size, this paper introduces the sparrow search algorithm, and proposes two improved strategies for the sparrow search algorithm. For the original sparrow search algorithm, the global search ability is insufficient. And the problem that is easy to fall into the local optimum, the introduction of Tent chaotic map to initialize the population, enhance the global search ability. Meanwhile, introduce the Cauchy mutation strategy to solve the local optimum problem, effectively improve the algorithm search ability, and combine the BP neural network to grind the output particle size of the material make predictions. The simulation results show that the improved sparrow search algorithm optimizes the weights and biases of the BP neural network and improves the training accuracy of the BP neural network. The experimental results show that the proposed TCSSA-BP model has obvious effects on the regression prediction of the output particle size of the material grinding.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133583947","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: 6