2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)最新文献_第7页

An Improved Block-matching and Three-dimensional Algorithm for Phase Interferogram 一种改进的相位干涉图块匹配与三维算法

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874074

Xing Li, Bin Wu

引用次数: 0

Research Hotspot and Trend Analysis of Anonymous Communication Based on Citespace 基于Citespace的匿名通信研究热点及趋势分析

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874138

Yijie She, Dawei Xu, Zhonghua Tan, Jian Zhao

{"title":"Research Hotspot and Trend Analysis of Anonymous Communication Based on Citespace","authors":"Yijie She, Dawei Xu, Zhonghua Tan, Jian Zhao","doi":"10.1109/ISPDS56360.2022.9874138","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874138","url":null,"abstract":"The bibliometric method was applied to search domestic and international core journals on the topic of anonymous communication during 2000–2022, and the Citespace tool was used to conduct a multidimensional analysis of authors, institutions and journal collaborations, etc. The co-occurrence analysis of high-frequency keywords and mutation detection terms was conducted to draw a relevant visual relationship map, so as to analyse the recent research in the field of anonymous communication at home and abroad the results of the study show that in the past 22 years, the number of anonymous communication has been increasing. The results of the study show that in the past 22 years, the number of foreign publications in the field of anonymous communication has been on the rise compared to the overall trend in China, while the number of articles in the field of anonymous communication in China is relatively small, and scholars and institutions should strengthen cooperation and communication among themselves to promote the development of research on anonymous communication. The “dark web” and “privacy protection” have remained strong since around 2017 and 2018, respectively, and will exert influence on research in the field of anonymous communication in the coming period.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"30 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":"117061232","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

Research on circuit board fault detection algorithm based on computer vision technology 基于计算机视觉技术的电路板故障检测算法研究

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874098

Weiguo Yi, Heng Zhang, Siwei Ma, B. Ma

{"title":"Research on circuit board fault detection algorithm based on computer vision technology","authors":"Weiguo Yi, Heng Zhang, Siwei Ma, B. Ma","doi":"10.1109/ISPDS56360.2022.9874098","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874098","url":null,"abstract":"In the actual use of the existing circuit board fault detection methods, the phenomenon of missing and misdetection often occurs, and the error detection rate is high. The problems existing in the traditional method will not only increase the cost of circuit board fault detection, but also can not provide accurate data for circuit board fault maintenance. Therefore, this paper proposes a circuit board fault detection method FPN50 based on deep learning. In this method, YOLOV5 is used as the detection model algorithm, and Relu in the original network is replaced by Relu6, so that the weights can be mapped more evenly, and the weight information can be retained more, so as to achieve quantization error. Secondly, the PAN structure is added after the original FPN network, which can enhance the positioning capability at multiple scales. The average accuracy of the final test reached 98.5%. Then the experimental results were verified with Shufflenetv2, Efficient net and Resnet50 detection models, and the average accuracy was 84.2%, 97.5% and 96.8%, respectively. The experimental results show that the FPN50 algorithm proposed in this paper has the highest detection accuracy and speed among all the comparison algorithms, and is more suitable for the detection requirements of this study.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"61 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":"121349615","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

Design of UAV Image Transmission System Based on Region of Interest Coding 基于感兴趣区域编码的无人机图像传输系统设计

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874014

Wenyue Li, Lingchun Meng

{"title":"Design of UAV Image Transmission System Based on Region of Interest Coding","authors":"Wenyue Li, Lingchun Meng","doi":"10.1109/ISPDS56360.2022.9874014","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874014","url":null,"abstract":"With the rapid development of the power industry, the scale of our country's power grid continues to expand, and transmission lines spread all over the country. The stability of transmission lines is one of the important factors to ensure stable power supply. The working environment of power transmission equipment is relatively harsh. Compared with other industrial sectors, transmission line failures are more dangerous and require higher stability. In order to ensure the stable operation of the power system, it is necessary to conduct regular inspections on the transmission lines. With the development of UAV technology and image processing technology, UAV line inspection technology based on video processing has become the most popular way of inspection of transmission lines. As a new operation and maintenance method in the power industry, the UAV line inspection system not only reduces the work intensity of transmission line operation and maintenance personnel, but also improves the quality, benefit and efficiency of inspections. It will be the main focus of transmission line operation and maintenance management in the future. Aiming at the problems such as unclear inspection interface and inconspicuous target focus caused by limited bandwidth when UAV patrols the line, this paper proposes a UAV image transmission system based on region of interest (ROI) coding. The system can effectively improve the clear reading of the target, thereby improving the effect and quality of the line inspection without increasing the total bandwidth.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"41 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":"132335712","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

Intelligent analysis and decision making for monitoring data of ultra-high arch dams 超高拱坝监测数据的智能分析与决策

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874087

Jianming Wu, Yu Hu, Dan-mei Xu, Yaosheng Tan, Chunfeng Liu, Lei Pei, Zhuo Li

引用次数: 0

Cervical cell classification based on attention mechanism and multi-resolution feature fusion 基于注意机制和多分辨率特征融合的宫颈细胞分类

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874093

Jingya Yu, Guoyou Wang, Shenghua Cheng

引用次数: 1

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874192

Qiuhan Han, Atsushi Yoshikawa, M. Yamamura

{"title":"Mining User Similarity from GPS Trajectory Based on Spatial-temporal and Semantic Information","authors":"Qiuhan Han, Atsushi Yoshikawa, M. Yamamura","doi":"10.1109/ISPDS56360.2022.9874192","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874192","url":null,"abstract":"In this study, we proposed a new framework to mine and analyze information from GPS trajectory data to find similar users from a spatial-temporal and semantic perspective. The framework combines spatial-temporal and semantic similarity techniques to achieve a system with low computational overhead and good similarity accuracy by using the characteristics of individual movements to identify similar users. It consists of three steps: first, spatial-temporal features are obtained by modeling and clustering stay points, and using them to calculate spatial-temporal similarities; next, using categories of points of interest within stay regions as semantic information, the semantic similarity can then be computed by frequent sequential pattern mining; finally, the spatial-temporal and semantic similarities can be combined to calculate the user similarity. We compared the results with those of related studies. The K-nearest neighbors experiments showed that the combination of spatial-temporal and semantic similarity methods exhibited excellent performance, being able to identify similar users more accurately. Consequently, our proposed method could be a useful identification framework in situations where large volumes of human spatial-temporal trajectory data exist, possibly due to the development of GPS devices and storage technology.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"39 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":"116334691","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

Generative Adversarial Networks Based on Human-Computor Interaction 基于人机交互的生成对抗网络

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874027

Peiyi Jia, Shijie Jia, Yangjie Huang

引用次数: 0

Dynamic small area visual target tracking discrimination algorithm and animal welfare evaluation applications 动态小面积视觉目标跟踪判别算法及动物福利评价应用

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874221

Yu Wang, Jiandong Fang, Yudong Zhao

引用次数: 0

Omicron BA.2 Prediction Research Based on SEIR-ARIMA Mixed Model 基于SEIR-ARIMA混合模型的Omicron BA.2预测研究

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI: 10.1109/ISPDS56360.2022.9874160

Kai Hu, Jinghao Yang, Chuante Hou, Zhengyao Bi, Jinxian Wang, Yujie Zhang

{"title":"Omicron BA.2 Prediction Research Based on SEIR-ARIMA Mixed Model","authors":"Kai Hu, Jinghao Yang, Chuante Hou, Zhengyao Bi, Jinxian Wang, Yujie Zhang","doi":"10.1109/ISPDS56360.2022.9874160","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874160","url":null,"abstract":"Omicron BA.2, a new variant of severe acute respiratory syndrome coronavirus (SARS-CoV-2), has attracted worldwide attention due to its high infectivity and vaccine escape mutation. Based on the SEIR model being susceptible to changes in external factors and having specific errors, the ARIMA model is data-dependent and can only capture linear relationships. In this paper, based on the traditional infectious disease dynamic model SEIR and the differential integrated mean autoregressive model ARIMA, an SEIR-ARIMA mixed model is proposed to predict and evaluate the virus outbreak in March in Jilin Province, China. The data from SEIR and ARIMA models were processed using SPSS to obtain the predicted values f and e, respectively. Linear regression modeling was performed on the predicted values f and e to establish the SEIR-ARIMA model. MATLAB is used to complete the best linear fitting line. Furthermore, The results show that the model's predicted value is in good agreement with the actual value. It shows that the SEIR-ARIMA mixed model based on the SEIR-ARIMA model has a good prediction effect, which is beneficial for the country to make the right decision when facing the epidemic. It is of great value for preventing other types of infectious diseases in China in the future.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"46 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":"115937407","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