2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)最新文献_第6页

Deception Jamming Against Multistatic Radar System Based on Periodic Multiple Phases Modulation 基于周期多相调制的多基地雷达欺骗干扰

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778529

Shengqun Mei, Wenhui Lang

引用次数: 2

The study on Anti-Jamming Power Control Strategy based on Q-learning 基于q -学习的抗干扰功率控制策略研究

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778818

Shuqin Geng, Pengkun Li, Xuzhou Yin, Hang Lu, Ronghao Zhu, Wenhua Cao, Jingyao Nie

引用次数: 1

Analysis of Beamforming Performance against Array Steering Vector Mismatch 阵列导向矢量失配下的波束形成性能分析

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778363

Qi Kuang, Songpo Jin, Chunbao Xu, Z. Ding, Shanna Zhuang, Hongtao Li

引用次数: 0

RSI-Mix: Data Augmentation Method for Remote Sensing Image Classification RSI-Mix:遥感影像分类的数据增强方法

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778421

Xin Lu, Chao Zhang, Q. Ye, Chao Wang, Chuan-Sheng Yang, Quanqing Wang

引用次数: 0

Weakly supervised surface defect classification network based on Gaussian model 基于高斯模型的弱监督表面缺陷分类网络

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778408

Kangkang Song, Hanfeng Feng, Chengbin Peng, Ming Zhao, Xu-yuan Tian, Xianhua Liao, Jiangjian Xiao

{"title":"Weakly supervised surface defect classification network based on Gaussian model","authors":"Kangkang Song, Hanfeng Feng, Chengbin Peng, Ming Zhao, Xu-yuan Tian, Xianhua Liao, Jiangjian Xiao","doi":"10.1109/ICSP54964.2022.9778408","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778408","url":null,"abstract":"Due to the complex morphological features of surface defects, algorithms using the traditional hand-crafted features cannot achieve high detection accuracy. Deep learning-based methods have achieved higher accuracy than traditional methods, so deep learning algorithm has been greatly developed in the field of surface defect detection. However, these algorithms need to label a large amount of fine sample information, which requires a lot of human labor, and the labeling results directly affect the accuracy of final prediction, thus limiting the development of deep learning algorithms in this field. To address the above problems, we propose a weakly supervised surface defect classification neural network, which uses resnet50 as the backbone feature extraction network. We design a feature cascade aggregation module and a 2D Gaussian module to set different weights for different regions. These modules allow the neural network to notice defect locations more quickly. Thus, the number of finely labeled samples is reduced, and high classification accuracy is obtained. Experimental results show that the proposed algorithm achieves excellent performance on the public dataset and the homemade dataset. Compared to other methods, our proposed algorithm achieves better or similar accuracy, but is quite faster.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129987509","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

Multipath Congestion Control in Integrated Intelligent Network 集成智能网络中的多路径拥塞控制

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778532

Yinglin Li, Li Yang, Yaowen Qi, Debin Wei

引用次数: 0

Facial Expression Recognition with Squeeze-and-Excitation Network 基于挤压激励网络的面部表情识别

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778358

Peiyuan Guo, Chenglong Song

引用次数: 1

Design and Application of Temperature Control System Based on Fuzzy PID Algorithm 基于模糊PID算法的温度控制系统设计与应用

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778658

Jianpeng Wang, Zhongliang Lu, Gaojie Wang

{"title":"Design and Application of Temperature Control System Based on Fuzzy PID Algorithm","authors":"Jianpeng Wang, Zhongliang Lu, Gaojie Wang","doi":"10.1109/ICSP54964.2022.9778658","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778658","url":null,"abstract":"In order to improve the control accuracy, response speed, anti-interference ability and adaptive ability of the temperature control system in the PCR amplification reaction stage during the detection of African swine fever (ASF) virus, a temperature control system based on fuzzy PID control algorithm was designed. The system combines the fuzzy theory with the traditional PID control theory, which makes up for the shortcomings of the traditional PID algorithm, such as difficulty in parameter tuning, slow response speed, and weak self-adaptive ability. The mathematical model was established and tested by MATLAB software. At the three temperatures of 25°C, 64°C and 85°C required by the PCR amplification reaction, the time taken by the fuzzy PID control algorithm to reach the target temperature was shortened compared with the traditional PID control algorithm. More than 32s, and the recovery time is more than 23s after adding external interference, which meets the requirements of temperature control accuracy, response speed, anti-interference ability and adaptive ability required by PCR reaction in the process of African swine fever (ASF) virus detection. The results highlight the fuzzy Compared with the traditional PID control algorithm, the PID control algorithm has the advantages of temperature control.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132417555","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

Underwater Fish Object Detection based on Attention Mechanism improved Ghost-YOLOv5 基于注意机制的改进Ghost-YOLOv5水下鱼目标检测

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778582

Shanmin Li, Bei Pan, Yuanshun Cheng, Xi Yan, Chao Wang, Chuan-Sheng Yang

{"title":"Underwater Fish Object Detection based on Attention Mechanism improved Ghost-YOLOv5","authors":"Shanmin Li, Bei Pan, Yuanshun Cheng, Xi Yan, Chao Wang, Chuan-Sheng Yang","doi":"10.1109/ICSP54964.2022.9778582","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778582","url":null,"abstract":"Object detection is a popular research field in deep learning. People usually design large-scale deep convolutional neural networks to continuously improve the accuracy of object detection. However, in the special application scenario of using a robot for underwater fish detection, due to the computational ability and storage space are limited, which leads to the problem of low recognition accuracy of underwater fish. In this paper, an improved Ghost-YOLOv5 network based on attention mechanism is proposed, and use Ghostconvolution in GhostNet to replace the convolution in YOLOv5. Which reduces the number of parameters of the model and makes the network more lightweight. At the same time, we propose a new attention mechanism added to the feature extraction network to enhance the feature expression of fish objects and the robustness of the model. The experimental results show that compared with the original algorithm, the improved YOLOv5 network reduces the calculation amount of the model, and also has better detection performance, the mAP value increased by about 5%.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132100065","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

Multi-Manifold Clustering Problems and Subspaces in Low-dimensional Space 低维空间中的多流形聚类问题与子空间

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778438

Mingrui Yang, Qunyi Chu

引用次数: 0