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

Parallel Optimization of Super Pixel Algorithm SLIC 超级像素算法SLIC的并行优化

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874224

Xiaoqi Luo, Yuanjie Xing, Senhai Xu

引用次数: 1

Swin Transformer with Local Aggregation 具有本地聚合的Swin变压器

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874052

Lu Chen, Yang Bai, Q. Cheng, Mei Wu

引用次数: 2

Fusion of Infrared and Visible Images Based on Improved Generative Adversarial Networks 基于改进生成对抗网络的红外与可见光图像融合

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874034

Shengchen Wang, Xisheng Li, Wenyu Huo, Jia You

{"title":"Fusion of Infrared and Visible Images Based on Improved Generative Adversarial Networks","authors":"Shengchen Wang, Xisheng Li, Wenyu Huo, Jia You","doi":"10.1109/ISPDS56360.2022.9874034","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874034","url":null,"abstract":"In order to improve the fusion quality of infrared and visible light images, enhance the visual effect of fused images, and solve the problems that traditional fusion methods need to manually set fusion rules and the background details of fused images are poorly preserved, this paper proposes an improved generative adversarial network that combines multi-scale information. The generator used in this method is a typical encoder and decoder structure, and the discriminator uses a dual discriminator to establish the confrontation relationship between the infrared source image, the visible light source image and the fusion image respectively. Before the source image is input to the encoder, multi-scale information is introduced through the Inception network, which effectively extracts the multi-scale features of the image, which ensures the subsequent improvement of the quality of the fusion image. In addition, the loss function is improved to retain more background details and highlight infrared feature information. The control experiment results show that the method in this paper obtains better fusion effect in subjective and objective evaluation.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"175 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":"125800400","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 evaluation method of municipal pipeline cleaning effect based on image processing 基于图像处理的市政管道清洗效果评价方法

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874216

Qingtong Yang, Yuanxun Fan

引用次数: 0

Yolov5-based defect detection for wafer surface micropipe 基于yolov5的晶圆表面微管缺陷检测

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874083

Ning Zhou, Zhengxin Liu, Jianxin Zhou

引用次数: 0

Research on the layout of shared electric vehicle charging stations based on AHP-MOP method 基于AHP-MOP方法的共享电动汽车充电站布局研究

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874191

Guofang Zhang, Zihe Zhou, Hanlin Shao

{"title":"Research on the layout of shared electric vehicle charging stations based on AHP-MOP method","authors":"Guofang Zhang, Zihe Zhou, Hanlin Shao","doi":"10.1109/ISPDS56360.2022.9874191","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874191","url":null,"abstract":"At present, the main problems in the layout of shared electric vehicle sites are: many sites have problems in site selection, which has affected the profitability of operators, and some sites have poor site selection, which makes it difficult to make profits due to the small number of users. However, in some areas with high demands, sites have not been established yet, resulting in missed business opportunities. In order to deeply study the location method of shared electric vehicles, an innovative “AHP-MOP method” was created. This method uses the analytic hierarchy process to establish a set of site evaluation system, then carries out preliminary optimization based on the maximum coverage model, then carries out secondary optimization based on the multi-objective optimization model to obtain the final optimization results. The famous “car capital” Wuhan Zhuankou is selected as the main example location. Based on the above theoretical research, the rationality of the “AHP-MOP method” is further verified. Finally, 9 shared electric vehicle stations are successfully selected in Zhuankou. The results are scientific, reasonable and in line with the reality.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"123 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":"126700179","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

Rock Image Contrast Enhancement Method Based on Improved De-sharpening Mask 基于改进去锐化蒙版的岩石图像对比度增强方法

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874012

Meizheng Ge, Qiong Liu

{"title":"Rock Image Contrast Enhancement Method Based on Improved De-sharpening Mask","authors":"Meizheng Ge, Qiong Liu","doi":"10.1109/ISPDS56360.2022.9874012","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874012","url":null,"abstract":"In engineering applications, traditional methods are usually used to acquire microscopic images, and due to objective factors such as uneven acquisition equipment and uneven illumination, there may be problems such as unclear acquisition images and insufficient local exposure. Traditional de-sharpening mask image enhancement algorithms are suitable for enhancing the edges and details of microscopic images, but are extremely sensitive to noise and do not enhance contrast and detail at the same time. In this paper, an improved sharpening masking algorithm is proposed, which sharpens the edges of rock images in the brightness channel of HSV color space, uses the difference between the non-local mean filter image and the original image to achieve high-frequency components, adaptively enhances the high-frequency components, improves the problem of image light unevenness through the contrast enhancement algorithm, and superimposes it with high-frequency components to effectively enhance the image. Experimental results show that the image processed by the algorithm has outstanding details and clear textures, which better suppresses the amplification of noise.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"138 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":"121588287","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

Wheat straw target detection algorithm based on improved YOLOv5 基于改进YOLOv5的麦秸目标检测算法

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874020

Pengfei Li, Heng Wang, Xueyu Huang

{"title":"Wheat straw target detection algorithm based on improved YOLOv5","authors":"Pengfei Li, Heng Wang, Xueyu Huang","doi":"10.1109/ISPDS56360.2022.9874020","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874020","url":null,"abstract":"In agricultural production, the growth and yield of crops have always attracted people's attention. For the detection of wheat planting density, a wheat straw detection model based on improved YOLOv5 is proposed in this paper. Firstly, at the end of the backbone network, the C3 module (C3TR) integrated with Transformer is used to replace the traditional C3 module, so that the model can extract more feature information about wheat straw in the feature extraction stage; Secondly, after the improved C3 module is embedded the location attention module (Coordinate Attention, CA), by capturing the long-distance dependence on the space and the channel, makes the model more focused on the feature extraction of the target area, and further strengthens the feature extraction ability of the backbone network; Finally, for the traditional frame regression loss the function cannot solve the problem of returning gradients when the predicted frame and the real frame intersect. It is proposed to use CIoU instead of the traditional GIoU, and continue to guide the predicted frame while considering the Euclidean distance and aspect ratio of the center point of the predicted frame and the real frame. Moving closer to the ground-truth box, the loss function is further reduced. On the homemade wheat straw dataset, under the same training strategy, the experimental results show that! Compared with the traditional YOLOv5 model, the improved model has a 1.71% increase in mAP, which proves that the improved model is superior to the traditional YOLOv5 model in terms of accuracy, and has a better detection effect on small targets such as wheat straw some practicality.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"25 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":"121671976","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 Intelligent Quality Inspection of Customer Service Under the “One Network” Operation Mode of Toll Roads 收费公路“一网”运营模式下客户服务智能质检研究

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874130

X. Gao, Huijuan Song, Yan Li, Qing Zhao, Wei Li, Yingang Zhang, Lu Chao

引用次数: 0

An adaptive black box attack algorithm based on improved differential evolution 一种基于改进差分进化的自适应黑盒攻击算法

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874005

Ran Zhang, Yifan Wang, Yifeng Yin

{"title":"An adaptive black box attack algorithm based on improved differential evolution","authors":"Ran Zhang, Yifan Wang, Yifeng Yin","doi":"10.1109/ISPDS56360.2022.9874005","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874005","url":null,"abstract":"As an important part of artificial intelligence technology, deep learning is widely used in various fields of contemporary society. The security of deep learning directly affects the effectiveness of its application in different fields. Effective attack algorithms can evaluate the security of deep learning models, and black box attacks are one of the important methods for testing the security of deep learning algorithms. An adaptive black box attack algorithm based on improved differential evolution is proposed to solve the problems of many queries, difficult selection of attack points that may cause higher attack costs in applications. The algorithm sets the variation factor as a linear decreasing function, uses the fitness function to adaptively control the change of the cross probability factor to improve the global search ability and accelerate the convergence rate, proposes a new variation strategy to enhance the ability of global search and local exploitation and the accuracy of searching attack points, and optimizes the loss function and the calculation method of gradient for defining decisions in deep learning models to improve the effectiveness and efficiency of black box attacks. The results of the comparison experiments show that the attack success rate is effectively improved and the average time and the average number of queries are reduced with the same attack success rate.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"23 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":"124169658","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