Pub Date : 2022-07-22DOI: 10.1109/ISPDS56360.2022.9874182
Shuhang Chen, Ziyang Luo, X. Li, Runhua He
At present, most of the tobacco quality inspection links use manual, but due to the speed and detection accuracy is not high enough, often lead to a very long quality inspection links, and mistakenly checked cigarettes into the market will cause economic losses to the company. In order to improve the speed and accuracy of cigarette inspection, a ZYNQ cigarette bar defect detection system was designed and implemented. After binarization processing and image filtering, Sobel operator is used to draw the contour of the image, and then Hough transform is used to get the image of the end face broken line. After rotation correction of the image, the judgment of defect detection is made. If the defect type is determined, the defective products are separated by sound and light alarm and automatic smoke separation device. The experiment shows that the average detection speed of the system for cigarette bar defects is less than 40ms, which meets the real-time requirements of the system. The detection accuracy is 98.67%, and the false detection rate is 0.05%, with low false detection rate.
{"title":"Research on Cigarette strip defect Detection System based on ZYNQ","authors":"Shuhang Chen, Ziyang Luo, X. Li, Runhua He","doi":"10.1109/ISPDS56360.2022.9874182","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874182","url":null,"abstract":"At present, most of the tobacco quality inspection links use manual, but due to the speed and detection accuracy is not high enough, often lead to a very long quality inspection links, and mistakenly checked cigarettes into the market will cause economic losses to the company. In order to improve the speed and accuracy of cigarette inspection, a ZYNQ cigarette bar defect detection system was designed and implemented. After binarization processing and image filtering, Sobel operator is used to draw the contour of the image, and then Hough transform is used to get the image of the end face broken line. After rotation correction of the image, the judgment of defect detection is made. If the defect type is determined, the defective products are separated by sound and light alarm and automatic smoke separation device. The experiment shows that the average detection speed of the system for cigarette bar defects is less than 40ms, which meets the real-time requirements of the system. The detection accuracy is 98.67%, and the false detection rate is 0.05%, with low false detection rate.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"118 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":"121445446","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/ispds56360.2022.9874044
Hongjie Geng, Mingming Zhou
Film and television production is one of the sources of modern entertainment and key content. With the rapid development and popularization of digital technology, its application proportion in film and television production is constantly increasing. AE keying technology is a digital production technology that is frequently used in film and television post-production, and its role is very important. Through the application of AE keying technology, film and television post-production is more convenient and efficient, and keying synthesis technology involves a wide range, which is of great value in the industry. Based on this, this paper introduces the meaning of film and television post-production and AE keying technology, and introduces the plug-in technology of AE. At the same time, it introduces the specific application of AE keying technology from three aspects: brightness keying, chroma keying and Key light keying, so as to provide help for film and television post-production personnel.
{"title":"Application of AE keying technology in film and television post-production","authors":"Hongjie Geng, Mingming Zhou","doi":"10.1109/ispds56360.2022.9874044","DOIUrl":"https://doi.org/10.1109/ispds56360.2022.9874044","url":null,"abstract":"Film and television production is one of the sources of modern entertainment and key content. With the rapid development and popularization of digital technology, its application proportion in film and television production is constantly increasing. AE keying technology is a digital production technology that is frequently used in film and television post-production, and its role is very important. Through the application of AE keying technology, film and television post-production is more convenient and efficient, and keying synthesis technology involves a wide range, which is of great value in the industry. Based on this, this paper introduces the meaning of film and television post-production and AE keying technology, and introduces the plug-in technology of AE. At the same time, it introduces the specific application of AE keying technology from three aspects: brightness keying, chroma keying and Key light keying, so as to provide help for film and television post-production personnel.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"18 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":"114244912","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/ISPDS56360.2022.9874167
Mian Du, Yuwei Zeng, Xun Zhu, Lanlan Zhang
When applying the popular deep learning based NL2SQL models directly in a specific scenario, problems arise due to the characteristics rooted in background knowledge. In our case, the terminologies and abbreviations in the high value payment system database are the main obstacles. In this paper, a framework that is compatible with BERT-CN and RAT-SQL is proposed for data inquiry tasks within the high value payment system, in which both BERT and RAT-SQL are state of the art models achieved great performance in many tasks. Besides that, NER and data preprocessing toolkits are introduced to align the terminologies and abbreviations with the columns and tables. Both the training and testing stages show acceptable results and the reasons are well discussed. This framework has great potential to be extended to other application scenarios with minimal modifications.
{"title":"High Value Payment System Data Inquiry Using a NL2SQL Framework","authors":"Mian Du, Yuwei Zeng, Xun Zhu, Lanlan Zhang","doi":"10.1109/ISPDS56360.2022.9874167","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874167","url":null,"abstract":"When applying the popular deep learning based NL2SQL models directly in a specific scenario, problems arise due to the characteristics rooted in background knowledge. In our case, the terminologies and abbreviations in the high value payment system database are the main obstacles. In this paper, a framework that is compatible with BERT-CN and RAT-SQL is proposed for data inquiry tasks within the high value payment system, in which both BERT and RAT-SQL are state of the art models achieved great performance in many tasks. Besides that, NER and data preprocessing toolkits are introduced to align the terminologies and abbreviations with the columns and tables. Both the training and testing stages show acceptable results and the reasons are well discussed. This framework has great potential to be extended to other application scenarios with minimal modifications.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"83 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":"116476004","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}
The four-chamber view is the primary ultrasound images that clinicians diagnose whether a fetus has congenital heart disease (CHD) in the process of prenatal diagnosis and screening, which can provide clinicians with a clear view of the developmental morphology of the fetal four chambers (i.e., left atrium, left ventricle, right atrium, and right ventricle). The early diagnosis and screening for CHD depend on the clinicians' experience to a large extent. Deep learning technology has achieved great success in medical image analysis. Hence, applying deep learning technology in the four-chamber view analysis can help improve the diagnostic accuracy of CHD and make it more objective. Hence, we design a deep learning-based intelligent analysis platform (DLIAP) for fetal ultrasound four-chamber views, which includes an image input module, an image analysis module, a visualization output module, and an information query module. The DLIAP can assist the clinicians in objectively analyzing the fetal ultrasound four-chamber views and further improve the diagnostic accuracy of CHD.
{"title":"A deep learning-based intelligent analysis platform for fetal ultrasound four-chamber views","authors":"Sibo Qiao, Shanchen Pang, Yukun Dong, Haiyuan Gui, Qiwen Yuan, Zelong Zheng, Guoxuan Cui","doi":"10.1109/ISPDS56360.2022.9874029","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874029","url":null,"abstract":"The four-chamber view is the primary ultrasound images that clinicians diagnose whether a fetus has congenital heart disease (CHD) in the process of prenatal diagnosis and screening, which can provide clinicians with a clear view of the developmental morphology of the fetal four chambers (i.e., left atrium, left ventricle, right atrium, and right ventricle). The early diagnosis and screening for CHD depend on the clinicians' experience to a large extent. Deep learning technology has achieved great success in medical image analysis. Hence, applying deep learning technology in the four-chamber view analysis can help improve the diagnostic accuracy of CHD and make it more objective. Hence, we design a deep learning-based intelligent analysis platform (DLIAP) for fetal ultrasound four-chamber views, which includes an image input module, an image analysis module, a visualization output module, and an information query module. The DLIAP can assist the clinicians in objectively analyzing the fetal ultrasound four-chamber views and further improve the diagnostic accuracy of CHD.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"7 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":"126316224","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/ISPDS56360.2022.9874095
Wenyu Huo, Xisheng Li, Shengcheng Wang, Jia You
A temperature measurement compensation algorithm based on particle swarm optimization (PSO) back propagation (BP) neural network is proposed for the temperature measurement accuracy of infrared thermal imager affected by ambient temperature, measurement distance and other factors. By optimizing the initial weight and threshold of BP neural network, PSO algorithm overcomes the shortcomings of BP algorithm, such as slow convergence speed, easy to fall into local optimization and low accuracy. At the same time, the inertia weight is introduced into the PSO-BP algorithm, so that the algorithm maintains a strong global search ability and a more accurate local search ability. Compared with the single BP algorithm, the generalization ability and temperature measurement accuracy of the system are effectively improved, and the average value of the mean square error is reduced to 0.0443, which achieves the ideal effect.
{"title":"Design on Infrared Temperature Measurement Compensation Algorithm Based on PSO-BP Neural Network","authors":"Wenyu Huo, Xisheng Li, Shengcheng Wang, Jia You","doi":"10.1109/ISPDS56360.2022.9874095","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874095","url":null,"abstract":"A temperature measurement compensation algorithm based on particle swarm optimization (PSO) back propagation (BP) neural network is proposed for the temperature measurement accuracy of infrared thermal imager affected by ambient temperature, measurement distance and other factors. By optimizing the initial weight and threshold of BP neural network, PSO algorithm overcomes the shortcomings of BP algorithm, such as slow convergence speed, easy to fall into local optimization and low accuracy. At the same time, the inertia weight is introduced into the PSO-BP algorithm, so that the algorithm maintains a strong global search ability and a more accurate local search ability. Compared with the single BP algorithm, the generalization ability and temperature measurement accuracy of the system are effectively improved, and the average value of the mean square error is reduced to 0.0443, which achieves the ideal effect.","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":"128720119","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/ISPDS56360.2022.9874074
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/ISPDS56360.2022.9874092
Wujisiguleng Zhao, Chunyi Chen, Hongmei Meng
Monte Carlo simulation is the most widely used method to analyze and study the optical transmission characteristics of seawater channel. The scattering phase function is usually used to represent the specific scattering characteristics of seawater according to the different densities of seawater medium particles, so it is particularly important to measure the scattering phase cosine $costheta$ in the scattering phase function of the average particles in seawater. This chapter uses Monte Carlo simulation method to solve the scattering phase cosine $costheta$, and explores a suitable and efficient sampling method to simulate light scattering. First, we sample the Rayleigh phase function by using the inverse transformation, the tabulation method and the weighted algorithm, and analyze the advantages and disadvantages of these three sampling methods. The three methods are applied to the Henyey-Greentein (HG) phase function. Moreover, in order to simulate the scattering characteristics in natural media, the Henyey-Greentein (HG) phase function is improved to obtain the Rayleigh Henyey-Greenstein (RHG) phase function, and then the corresponding sampling is carried out to improve the efficiency of the sampling method.
{"title":"Study on Sampling Method of Scattering Phase Function of Medium","authors":"Wujisiguleng Zhao, Chunyi Chen, Hongmei Meng","doi":"10.1109/ISPDS56360.2022.9874092","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874092","url":null,"abstract":"Monte Carlo simulation is the most widely used method to analyze and study the optical transmission characteristics of seawater channel. The scattering phase function is usually used to represent the specific scattering characteristics of seawater according to the different densities of seawater medium particles, so it is particularly important to measure the scattering phase cosine $costheta$ in the scattering phase function of the average particles in seawater. This chapter uses Monte Carlo simulation method to solve the scattering phase cosine $costheta$, and explores a suitable and efficient sampling method to simulate light scattering. First, we sample the Rayleigh phase function by using the inverse transformation, the tabulation method and the weighted algorithm, and analyze the advantages and disadvantages of these three sampling methods. The three methods are applied to the Henyey-Greentein (HG) phase function. Moreover, in order to simulate the scattering characteristics in natural media, the Henyey-Greentein (HG) phase function is improved to obtain the Rayleigh Henyey-Greenstein (RHG) phase function, and then the corresponding sampling is carried out to improve the efficiency of the sampling method.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"139 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":"123659519","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/ISPDS56360.2022.9874125
Xin Zhang, Lu Ding, Zhaohui Xu, Hui Liu
High speed dim and small target detection is an important technology in CCD vertical target coordinate measurement. Its difficulty lies in the high frame rate real-time image processing speed requirements, weak and small target capture rate and extraction accuracy is not high [1]. In order to solve these problems, FPGA is designed and applied as the core of embedded hardware platform, and high-efficiency parallel operation, background iteration and false target detection algorithm are used to realize the real-time detection of high-speed weak and small targets in CDD images with a frame rate of 4096 lines up to 50KHz. The time delay of target acquisition and output measurement results is less than 10 ms, and the real-time performance is very good. In a certain application, under the background illumination of sky, the capture rate of dim high-speed projectile (5.8 mm projectile) can reach 100%, and the measurement accuracy $sigma$ is less than 13 mm, and the acquisition rate test of targets larger than 5.8 mm reaches a higher standard.
{"title":"Design of Real-time Target Detection System in CCD Vertical Target Coordinate Measurement","authors":"Xin Zhang, Lu Ding, Zhaohui Xu, Hui Liu","doi":"10.1109/ISPDS56360.2022.9874125","DOIUrl":"https://doi.org/10.1109/ISPDS56360.2022.9874125","url":null,"abstract":"High speed dim and small target detection is an important technology in CCD vertical target coordinate measurement. Its difficulty lies in the high frame rate real-time image processing speed requirements, weak and small target capture rate and extraction accuracy is not high [1]. In order to solve these problems, FPGA is designed and applied as the core of embedded hardware platform, and high-efficiency parallel operation, background iteration and false target detection algorithm are used to realize the real-time detection of high-speed weak and small targets in CDD images with a frame rate of 4096 lines up to 50KHz. The time delay of target acquisition and output measurement results is less than 10 ms, and the real-time performance is very good. In a certain application, under the background illumination of sky, the capture rate of dim high-speed projectile (5.8 mm projectile) can reach 100%, and the measurement accuracy $sigma$ is less than 13 mm, and the acquisition rate test of targets larger than 5.8 mm reaches a higher standard.","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":"114851272","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}
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