Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874074
Xing Li, Bin Wu
Aiming at the poor detail of the interference fringes in the phase interferogram of the Block-matching and three-dimensional (BM3D) filtering algorithm, it is difficult to deal with the false edge problem caused by the ringing effect. This study proposed an improved BM3D algorithm for the phase interferogram. The algorithm performs similar block search on the phase image, introduces cosine dissimilarity as the similarity measure, then converts the phase image to complex domain for filtering, and finally introduces a Kaiser window in the aggregation process, which further maintains the denoising ability while improving the texture details and phase information of the interference fringes are obtained.
{"title":"An Improved Block-matching and Three-dimensional Algorithm for Phase Interferogram","authors":"Xing Li, Bin Wu","doi":"10.1109/ISPDS56360.2022.9874074","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874074","url":null,"abstract":"Aiming at the poor detail of the interference fringes in the phase interferogram of the Block-matching and three-dimensional (BM3D) filtering algorithm, it is difficult to deal with the false edge problem caused by the ringing effect. This study proposed an improved BM3D algorithm for the phase interferogram. The algorithm performs similar block search on the phase image, introduces cosine dissimilarity as the similarity measure, then converts the phase image to complex domain for filtering, and finally introduces a Kaiser window in the aggregation process, which further maintains the denoising ability while improving the texture details and phase information of the interference fringes are obtained.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"31 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":"124297246","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}
Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874138
Yijie She, Dawei Xu, Zhonghua Tan, Jian Zhao
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.
{"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}
Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874098
Weiguo Yi, Heng Zhang, Siwei Ma, B. Ma
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.
{"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}
Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874014
Wenyue Li, Lingchun Meng
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.
{"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}
Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874087
Jianming Wu, Yu Hu, Dan-mei Xu, Yaosheng Tan, Chunfeng Liu, Lei Pei, Zhuo Li
Intelligent construction in the process of application of extra-high arch dams, a large number of monitoring instruments buried inside the project during the construction process, reasonable use of good monitoring data to promote the construction of seamless dams, has important research significance. Monitoring data can sense the true state of the dam in all aspects and improve engineering guidance. In this paper, through the current stage of monitoring data of the extra-high arch dam, the objective, continuity, timeliness, accuracy and dynamics of the monitoring data, the visualization of the seepage, temperature and stress field monitoring data of the extra-high arch dam, the whole process analysis, and the application of monitoring data to provide comprehensive feedback on the construction process are conducive to promoting the progress of the design and construction of the extra-high arch dam, and promoting the construction of the extra-high arch dam with higher quality.
{"title":"Intelligent analysis and decision making for monitoring data of ultra-high arch dams","authors":"Jianming Wu, Yu Hu, Dan-mei Xu, Yaosheng Tan, Chunfeng Liu, Lei Pei, Zhuo Li","doi":"10.1109/ISPDS56360.2022.9874087","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874087","url":null,"abstract":"Intelligent construction in the process of application of extra-high arch dams, a large number of monitoring instruments buried inside the project during the construction process, reasonable use of good monitoring data to promote the construction of seamless dams, has important research significance. Monitoring data can sense the true state of the dam in all aspects and improve engineering guidance. In this paper, through the current stage of monitoring data of the extra-high arch dam, the objective, continuity, timeliness, accuracy and dynamics of the monitoring data, the visualization of the seepage, temperature and stress field monitoring data of the extra-high arch dam, the whole process analysis, and the application of monitoring data to provide comprehensive feedback on the construction process are conducive to promoting the progress of the design and construction of the extra-high arch dam, and promoting the construction of the extra-high arch dam with higher quality.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"3 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":"133616732","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}
Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874093
Jingya Yu, Guoyou Wang, Shenghua Cheng
Liquid-based thin-layer cell smears are very important for the early screening and prevention of cervical cancer, and computer-aided diagnosis can reduce the workload of pathologists. The cell classification method based on deep learning can process data efficiently. However, most classification methods are based on a single resolution for recognition. When the resolution is low, the processing speed of the whole slide image is faster, but lack of picture details, which makes the identification inaccurate. When the resolution is high, it takes more time to process the whole slide image, but with more image detail. To this end, we propose a model based on Attention Mechanism and Multi-resolution Feature Fusion Module (AMFM), which combine the advantages of various resolutions to classify cervical cells. Experiments show that the accuracy is increased by 3.93% and the AUC is improved by 0.022 on the four-classification task of the cervical cell compared to the model based on a single resolution.
{"title":"Cervical cell classification based on attention mechanism and multi-resolution feature fusion","authors":"Jingya Yu, Guoyou Wang, Shenghua Cheng","doi":"10.1109/ISPDS56360.2022.9874093","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874093","url":null,"abstract":"Liquid-based thin-layer cell smears are very important for the early screening and prevention of cervical cancer, and computer-aided diagnosis can reduce the workload of pathologists. The cell classification method based on deep learning can process data efficiently. However, most classification methods are based on a single resolution for recognition. When the resolution is low, the processing speed of the whole slide image is faster, but lack of picture details, which makes the identification inaccurate. When the resolution is high, it takes more time to process the whole slide image, but with more image detail. To this end, we propose a model based on Attention Mechanism and Multi-resolution Feature Fusion Module (AMFM), which combine the advantages of various resolutions to classify cervical cells. Experiments show that the accuracy is increased by 3.93% and the AUC is improved by 0.022 on the four-classification task of the cervical cell compared to the model based on a single resolution.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"79 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":"131620454","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}
Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874192
Qiuhan Han, Atsushi Yoshikawa, M. Yamamura
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.
{"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}
Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874027
Peiyi Jia, Shijie Jia, Yangjie Huang
In order to improve the generation quality and personalization of generative adversarial network, this paper proposes an open generative adversarial network (OpenGAN) based on human-computer interaction, which adds human subjective evaluation into the training. A subjective penalty function is added to the original generator loss and the smoothing network layer is designed to reduce the impact of loss mutation in the interaction. Our results show that the IS value on ADE20K, Cityscape and other datasets increases by 61% on average, while KID and LPIPS decrease by 32% and 44%, respectively.
{"title":"Generative Adversarial Networks Based on Human-Computor Interaction","authors":"Peiyi Jia, Shijie Jia, Yangjie Huang","doi":"10.1109/ISPDS56360.2022.9874027","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874027","url":null,"abstract":"In order to improve the generation quality and personalization of generative adversarial network, this paper proposes an open generative adversarial network (OpenGAN) based on human-computer interaction, which adds human subjective evaluation into the training. A subjective penalty function is added to the original generator loss and the smoothing network layer is designed to reduce the impact of loss mutation in the interaction. Our results show that the IS value on ADE20K, Cityscape and other datasets increases by 61% on average, while KID and LPIPS decrease by 32% and 44%, respectively.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"28 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":"122470786","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}
Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874221
Yu Wang, Jiandong Fang, Yudong Zhao
Automatic monitoring and evaluation of cattle welfare status in smart pastures requires tracking and identification of the target cattle's ear area and morphology based on video images. Most of the traditional methods use contact detection, which is somewhat invasive and easy to cause cattle stress reaction. In this paper, we design a dynamic small area tracking discrimination algorithm based on the marker less posture estimation method, which includes the tracking matching model of key points, the relative fluctuation model of cattle ear and the fluctuation behavior evaluation model in turn, and finally realize the automatic recognition of motion cattle ear area and morphological features. Through simulation experiments, the effectiveness and feasibility of the method are demonstrated.
{"title":"Dynamic small area visual target tracking discrimination algorithm and animal welfare evaluation applications","authors":"Yu Wang, Jiandong Fang, Yudong Zhao","doi":"10.1109/ISPDS56360.2022.9874221","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874221","url":null,"abstract":"Automatic monitoring and evaluation of cattle welfare status in smart pastures requires tracking and identification of the target cattle's ear area and morphology based on video images. Most of the traditional methods use contact detection, which is somewhat invasive and easy to cause cattle stress reaction. In this paper, we design a dynamic small area tracking discrimination algorithm based on the marker less posture estimation method, which includes the tracking matching model of key points, the relative fluctuation model of cattle ear and the fluctuation behavior evaluation model in turn, and finally realize the automatic recognition of motion cattle ear area and morphological features. Through simulation experiments, the effectiveness and feasibility of the method are demonstrated.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"29 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":"125189088","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}
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.
{"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}
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