2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)最新文献_第2页

Target detection and cow standing behavior recognition based on YOLOv5 algorithm 基于YOLOv5算法的目标检测与奶牛站立行为识别

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874008

Xin Tian, Bomeng Li, Xiaodong Cheng, Xiangyang Shi

{"title":"Target detection and cow standing behavior recognition based on YOLOv5 algorithm","authors":"Xin Tian, Bomeng Li, Xiaodong Cheng, Xiangyang Shi","doi":"10.1109/ISPDS56360.2022.9874008","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874008","url":null,"abstract":"Accurate and effective behavior recognition of cows is the basis for realizing informationization, high efficiency and scale of animal husbandry farming. To address the limitations of traditional non-contact and contact for obtaining animal behavior information, this paper investigates the target detection based on YOLOv5 algorithm and the cow standing behavior recognition method for video analysis. This paper first introduces the target detection algorithm, then describes the target detection network model (YOLOv5Net), which extracts the relevant features of cow images and performs image target detection through training to recognize the standing behavior of cows in real time. To achieve effective recognition of cow standing and efficient extraction of cow targets in complex natural environments, the YOLOv5 model for cow standing recognition is explored[8]; finally, the implemented YOLOv5 model is evaluated and analyzed for environment modeling and target detection algorithm objectives, and the experimental results show that the experimental detection correctness accuracy is 97.6%, and the preprocessing time in detecting a single image is It can quickly and accurately identify the standing behavior of cows, which lays the foundation for basic behavior identification and localization of cows.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125727722","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

Design and Implementation of Coal Mine Wireless Sensor Ad Hoc Network Based on LoRa 基于LoRa的煤矿无线传感器自组网设计与实现

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874124

P. Lu

引用次数: 2

A method for identifying crop diseases based on IAlexNet model 基于IAlexNet模型的作物病害识别方法

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874022

Wenwu Liu, Chaoqun Zhang, Yunheng Yi, Weidong Qin

引用次数: 0

Dual Aircraft Cooperative Cross Positioning Method for Ground Remote Control Signal Source 地面遥控信号源的双机协同交叉定位方法

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874106

Jia-nuo Xu, Z. Yao, Jian Yang, Haiyang Wang

{"title":"Dual Aircraft Cooperative Cross Positioning Method for Ground Remote Control Signal Source","authors":"Jia-nuo Xu, Z. Yao, Jian Yang, Haiyang Wang","doi":"10.1109/ISPDS56360.2022.9874106","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874106","url":null,"abstract":"The rapid development of consumer UAV has brought many conveniences to national production and life, but the increasingly frequent incidents of ‘Black Flying’ unmanned aerial vehicle (UAV) seriously threaten social stability and national security. In order to capture the operator of ‘Black Flying’ UAV, this paper presents a cross-location method of ground remote controller signal source with the angle of arrival (AOA) as prior information. This method designs a cooperative flight strategy based on double-station UAV airborne detection platform, and builds a mathematical model of cross-positioning error based on this strategy, thus improving the traditional cross-positioning algorithm. The verification results show that the proposed algorithm can successfully locate the signal source of the ground remote controller. Compared with the traditional method, it also effectively reduces the influence of systematic error and random error on the location results. When the angle measurement error is 5 degrees, the location accuracy is about 3 meters.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127311417","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

Face Detection and Tracking Based on Neural Network 基于神经网络的人脸检测与跟踪

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874114

Jiao-yang Li, Chuan Yang, Fan Yang, Jie Huang, Wei Wei, Sujuan Zhang, Xun Zuo, Shilong Zhang

引用次数: 0

Multi-station Joint Long-term Water Level Prediction Model of Hongze Lake Based on RF-Informer 基于RF-Informer的洪泽湖多站联合长期水位预测模型

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874178

Nannan Du, Xuechun Liang, Congyou Wang, Lu Jia

引用次数: 2

Strip stitching algorithm of filter array multispectral image 滤波阵列多光谱图像的条带拼接算法

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874187

Tong Li, Wenbang Sun, Guang Yue, Zi-lv Gu, Di Wu, Xiaokang Zhang

{"title":"Strip stitching algorithm of filter array multispectral image","authors":"Tong Li, Wenbang Sun, Guang Yue, Zi-lv Gu, Di Wu, Xiaokang Zhang","doi":"10.1109/ISPDS56360.2022.9874187","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874187","url":null,"abstract":"Aiming at the problem of low image stitching accuracy due to the difficulty of extracting strip features from multispectral images of filter array, a strip stitching algorithm for multispectral images of filter arrays is proposed. Firstly, the effective range of each band of the multispectral image is determined, and the homography matrix is calculated using the geographic coordinate information of the image vertices and the vertex coordinates to project the image. Secondly, Scale-invariant feature transform (SIFT) algorithm was used to extract matching points of projected images, and the mean value of the coordinate difference of matching points was calculated as the translation relation between images. Finally, the projection transformation is performed on the single band bands in turn, and the projected images are stitched with inter-image translation to obtain a large area single band image. Theoretical analysis and experimental results show that this method can effectively improve the the stitching accuracy of multispectral images of filter arrays and has a high image stitching speed.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133114435","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 on Artifact Classification Identification Based on Deep Learning 基于深度学习的人工制品分类识别研究

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874218

Long Ling, Jingde Huang, Yumeng Lu

引用次数: 0

Research Status of Broadband Satellite and its Ground Receiving Equipment 宽带卫星及其地面接收设备的研究现状

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874118

Feilong Mao, Yiwen Jiao, Hong Ma, Zefu Gao

引用次数: 0

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874208

Yemao Zhang, Wei Jia, Hai Min, Yingke Lei, Yang Zhao, Chunxiao Fan

{"title":"Similarity-Guided and Multi-Layer Fusion Network for Few-shot Semantic Segmentation","authors":"Yemao Zhang, Wei Jia, Hai Min, Yingke Lei, Yang Zhao, Chunxiao Fan","doi":"10.1109/ISPDS56360.2022.9874208","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874208","url":null,"abstract":"Few-shot semantic segmentation aims to tackle the problem that segmenting unseen object class using only a few support images with the same object class. At present, most related methods focus on prototype learning or feature similarity. However, these few-shot segmentation methods do not make good use of high-level features to enhance the prediction results. In this paper, we propose a lightweight Similarity-Guided and Multi-layer Fusion Network (SMNet) with two modules including Similarity-Guided Module (SGM) and Multi-Layer Fusion Module (MLFM). Specifically, the SGM utilizes cosine similarities in multiple high-level feature layers to augment the features in middle-level from query and support image, and then augmented features are refined via a residual attention module. In order to enhance the diversity of features, we reformulate the refined features as a spatiotemporal sequence problem. Then, we introduce the MLFM, which combines two ConvLSTMs to obtain fused feature from different scales. Finally, the decoder takes fused features to obtain predicted mask. Experiment results demonstrate that our model can achieve superior or competitive performances in several datasets.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122750506","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