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2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)最新文献

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A Joint Spatial-Polarization Normalized LMS Based on Circular Array 基于圆阵的联合空间极化归一化LMS
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408907
Fangfang Li, Tingting Lyu, Hao Zhang
{"title":"A Joint Spatial-Polarization Normalized LMS Based on Circular Array","authors":"Fangfang Li, Tingting Lyu, Hao Zhang","doi":"10.1109/ICSP51882.2021.9408907","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408907","url":null,"abstract":"In order to solve the problem that the spatial filtering fails when the Direction of Arrival (DOA) of the desired signal and the interference signal are same or similar, first, the polarization array vector is introduced into the spatial filtering algorithm-Least Mean Square (LMS) to form the Spatial-Polarization Least Mean Square (SPLMS); then in order to overcome the contradiction between the convergence speed and steady-state error of the SPLMS, Spatial-Polarization Normalized Least Mean Square (SPLMS) is useed to improve this problem. Finally, a simulation analysis of the error curve of the SPLMS and the SPNLMS is carried out, and it is found that when the DOA of both signals are same or similar, the SPLMS can achieve a good beamforming effect. The steady-state error accuracy is obviously improved. The convergence speed is faster, stronger, and it is more superior than the SPLMS.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"8 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129362933","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
A robust digital watermarking method for textile image 一种纺织图像鲁棒数字水印方法
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408843
Ying Yu, Y. Qiao, Caiyin Wang, Chao Li, Xiaojuan Shi
{"title":"A robust digital watermarking method for textile image","authors":"Ying Yu, Y. Qiao, Caiyin Wang, Chao Li, Xiaojuan Shi","doi":"10.1109/ICSP51882.2021.9408843","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408843","url":null,"abstract":"In this era of rapid development of network, the infringement of the textile industry is becoming more and more important, which seriously restricts the development of textiles. In this paper, a robust digital watermarking method based on chrominance and texture features of textile images is proposed. The cover image was transformed into CIE LAB color space, and the B channel of the cover image was extracted. The B channel of the carrier image was divided into blocks, and each image block was transformed by DCT. In order to better to maintain the visual effect of the image and the robustness of the watermark, the watermark is embedded in the intermediate frequency domain of DCT. Then the digital image is transferred to the textile by using the dark transfer film through the thermal transfer printing technology. The experimental results indicate that the method is robust to the attack of textile image in the process of print-canning. And the method could coordinate the contradiction between invisibility and robustness.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"11 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129487275","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
A wall-passing radar imaging algorithm based on weighted L1 norm 一种基于加权L1范数的过壁雷达成像算法
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408799
Luo Mingshi, Z. Mengmeng
{"title":"A wall-passing radar imaging algorithm based on weighted L1 norm","authors":"Luo Mingshi, Z. Mengmeng","doi":"10.1109/ICSP51882.2021.9408799","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408799","url":null,"abstract":"This article is mainly studied based on weighted L1 norm through-wall radar imaging algorithm. Due to the interference of the environment or the radar platform, the echo data acquired by the TWR system will be mixed with some noise, which seriously affects the imaging results. In this article, the weighted L1 norm constraint model is closer to the L0 norm constraint model through imaging comparison of the four algorithms in the case of no noise and -2dB Gaussian white noise. In other words, the quality and stability of the imaging are improved by improving the weighting function.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126839705","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
Research of Deep Learning-Based Visibility Prediction Model for Foggy Days in Airport 基于深度学习的机场雾天能见度预测模型研究
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408788
Wu Qian, Liu Cheng, Tang Bin, Wang Xichen
{"title":"Research of Deep Learning-Based Visibility Prediction Model for Foggy Days in Airport","authors":"Wu Qian, Liu Cheng, Tang Bin, Wang Xichen","doi":"10.1109/ICSP51882.2021.9408788","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408788","url":null,"abstract":"In this paper, we estimate the visibility distance under heavy fog conditions based on the airport video image containing information about the varying process of fog and the observed meteorological data. This article uses data from 00:00:16 to 11:47:48 on March 13, 2020, for an airport. By establishing two regression models, the Multiple Linear Regression (MLR) model and the Multiple Polynomial Regression (MPR) model, to analyzing the relationship between visibility distance and meteorological observation data on the ground, and comparing and evaluating the two models. Experimentally, it was found that MPR models solve relational equations with higher precision, and if it used a higher order of MPR model, it has higher predicted precision. And we establish a deep learning model based on video visibility distance estimation from video data and meteorological observation data of an airport and evaluate the accuracy of the estimated visibility. The experimental results show that the percentage error between the predicted value and the true value is less than 0.25%, which achieves high predictive accuracy and has a very good prediction effect.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123223397","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
Gesture Recognition Based on YCbCr Color Space and Neural Network 基于YCbCr色彩空间和神经网络的手势识别
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408765
Hu Junping, Xian Siping
{"title":"Gesture Recognition Based on YCbCr Color Space and Neural Network","authors":"Hu Junping, Xian Siping","doi":"10.1109/ICSP51882.2021.9408765","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408765","url":null,"abstract":"Aiming at the problem of gesture recognition in complex background, a convolutional neural network gesture recognition algorithm based on improved YCbCr color space is proposed. Firstly, 8000 images of four gestures in the complex background are collected as the data set of this study. Then, the data set is preprocessed based on YCbCr color space, and the adaptive threshold method is used to improve it. Finally, a shallow convolutional neural network is built and trained with the preprocessed data set. The experimental results show that the gesture recognition accuracy of this method can reach 98.2% on the collected data set, which is higher than 85.7% and 90.6% using AlexNet and VGG-16.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116489034","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
Green Vehicle Routing and Scheduling in Time-Varying Road Network Based on Market Bidding Mechanism 时变路网中基于市场竞价机制的绿色车辆路径与调度
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408906
Gong Yahong
{"title":"Green Vehicle Routing and Scheduling in Time-Varying Road Network Based on Market Bidding Mechanism","authors":"Gong Yahong","doi":"10.1109/ICSP51882.2021.9408906","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408906","url":null,"abstract":"Aiming at the low-carbon vehicle routing and scheduling problem in time-varying road network, an integer programming model is established to minimize the delivery time and carbon emissions. Based on the market bidding mechanism, the task bundle and path bundle of delivery vehicles are constructed by comprehensively considering the needs of customers, the paths between customers and the road traffic state index. The possible conflicts between different vehicles are resolved through the negotiation mechanism, so as to get a reasonable delivery scheme. The simulation results show that the designed model and proposed method can be used to solve the vehicle routing problem of fresh e-commerce and community group buying, which requires high delivery timeliness. Under the condition of time-varying road network, the reasonable delivery vehicles and their departure time, driving route and speed can be planned, which can effectively reduce the delivery cost and carbon emissions.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121784532","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 the trajectory planning method of custom pattern robot based on image processing 基于图像处理的自定义模式机器人轨迹规划方法研究
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408720
Jingran Yuan, Feng Xu, Shiquan Hao, Wenhao Liu, Lijun Jiang
{"title":"Research on the trajectory planning method of custom pattern robot based on image processing","authors":"Jingran Yuan, Feng Xu, Shiquan Hao, Wenhao Liu, Lijun Jiang","doi":"10.1109/ICSP51882.2021.9408720","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408720","url":null,"abstract":"At present, robot spraying is mainly used in single color spraying, but there is still a lack of effective automatic spraying method for complex customized patterns of multiple colors. This paper presents a robot automatic spraying method for customized digital camouflage patterns. According to the relevant technical manuals, the digital camouflage patterns are designed to meet the needs, and the image processing techniques such as corner detection are used to extract the coordinate information of each color block of the digital camouflage patterns. Considering the spray deposition model of the spray gun and combining with the robot path planning technology, the spray trajectory of the spray gun is planned in each extracted digital camouflage block. The automatic spraying of customized digital camouflage patterns can be realized by importing the trajectory information of the gun into the spraying robot.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124320774","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
Research on Data Mining of Physical Examination for Risk Factors of Chronic Diseases Based on Classification Decision Tree 基于分类决策树的慢性病危险因素体检数据挖掘研究
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408682
Zhang Quancheng, He Jingbin
{"title":"Research on Data Mining of Physical Examination for Risk Factors of Chronic Diseases Based on Classification Decision Tree","authors":"Zhang Quancheng, He Jingbin","doi":"10.1109/ICSP51882.2021.9408682","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408682","url":null,"abstract":"This paper analyzes the concept of classification analysis and the properties of decision tree, and gives the implementation process of ID3 algorithm. The medical examination data of medical examination information management system of Xi’an Shiyou University Hospital from 2013 to 2020 are selected as the training sample set and discretized, and a direct data model suitable for classification analysis is designed. ID3 algorithm is employed to classify and analyze the sampled data set, and the classification rules are extracted. Using the prediction conclusions of these classification rules, physical examination doctors can quickly and scientifically predict the possibility of chronic diseases of each university teacher. It can provide information technology support for the screening and prediction of chronic diseases and personalized intervention of chronic diseases.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124042457","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
Microprocessor Architecture and Design in Post Exascale Computing Era 后百亿亿次计算时代的微处理器体系结构与设计
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408861
Wang Di, LI Hong-Liang
{"title":"Microprocessor Architecture and Design in Post Exascale Computing Era","authors":"Wang Di, LI Hong-Liang","doi":"10.1109/ICSP51882.2021.9408861","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408861","url":null,"abstract":"In the post exascale computing era, the energy efficiency improvement speed of traditional complementary metal-oxide-semiconductor (CMOS) process has slowed down significantly. In order to realize the zettascale computing capacity in 2035, a great innovation is needed in the microprocessor architecture and design. This paper selects four aspects, which are low power consumption technology, near data processing (NDP) technology, interconnection centered design method and domain specific architecture (DSA), which has a broad development prospect, and focus on the energy efficiency benefits of each technology. Firstly, we analyze various traditional low power consumption technologies and near threshold computing (NTC) technology; secondly, we analyze the NDP technologies such as near memory computing, in memory computing and in network computing; thirdly, we analyze the low overhead network on chip (NOC), NOC supported by new process and cache coherent NOC technology; finally, we take the popular artificial intelligence (AI) processor as an example to analyze the DSA.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128040214","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
Research on Surface Defect Detection Method of Metal Workpiece Based on Machine Learning 基于机器学习的金属工件表面缺陷检测方法研究
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408778
Hongyang He, Mingang Yuan, Xiushan Liu
{"title":"Research on Surface Defect Detection Method of Metal Workpiece Based on Machine Learning","authors":"Hongyang He, Mingang Yuan, Xiushan Liu","doi":"10.1109/ICSP51882.2021.9408778","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408778","url":null,"abstract":"Some uncontrollable defects will occur on the surface of metal workpieces during processing. The existence of surface defects not only affects the appearance of the finished product, but also affects the quality to a certain extent. Surface defect detection of metal workpieces can effectively improve product quality and production efficiency, and is an important link in the process of product quality control. Although there are many different types of surface defect detection methods, in the actual production process, due to the characteristics of multiple types and irregular distribution of the surface defects of metal workpieces, in most cases, manual inspection or simple machine inspection is still used to detect the surface of metal workpieces. Defect inspections often lead to missed inspections and false inspections. The defect detection efficiency, accuracy and precision of metal workpieces still need to be further improved. This paper studies the method of detecting the surface defects of metal workpieces based on deep learning, provides the surface defect recognition accuracy and defect detection rate of metal workpieces, and provides references for the staff and scientific researchers engaged in metal workpiece defect detection.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"641 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125724358","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: 3
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