Pub Date : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482320
Shuo Zhang, Jun Yang, Pengcheng Ge, Tingting Feng, Yu Du, Haohao Jiang
The multi-band signal phase reference fusion technique fuses several different sub-bands into one large bandwidth signal at the signal layer, so it can effectively improve the radar distance image resolution. Currently, most of the fusion techniques based on the full-pole model use root-MUSIC and its improved algorithm to achieve the estimation of the poles, and this method can obtain good fusion results at high signal-to-noise ratios. However, the root-MUSIC algorithm is susceptible to noise interference in low signal-to-noise conditions, which makes it difficult to extract the poles correctly and thus greatly affects the final effect of signal fusion. In order to reduce the influence of noise, we propose to use the averaging matrix bundle algorithm to achieve multi-band pole estimation, find out the linear phase term and compensate it, and use the coherence function method to find out the fixed phase term on this basis. Finally, the signal fusion is performed by combining the Matrix pencil method using the Two-segment echo data after alignment. The simulation experiments and the measured data show that the method effectively improves the multiband signal fusion effect at low signal-to-noise ratio, which verifies the feasibility of the method.
{"title":"Multiband Radar Signal Phase Reference Synthesis Based on Matrix Pencil Method","authors":"Shuo Zhang, Jun Yang, Pengcheng Ge, Tingting Feng, Yu Du, Haohao Jiang","doi":"10.1109/IMCEC51613.2021.9482320","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482320","url":null,"abstract":"The multi-band signal phase reference fusion technique fuses several different sub-bands into one large bandwidth signal at the signal layer, so it can effectively improve the radar distance image resolution. Currently, most of the fusion techniques based on the full-pole model use root-MUSIC and its improved algorithm to achieve the estimation of the poles, and this method can obtain good fusion results at high signal-to-noise ratios. However, the root-MUSIC algorithm is susceptible to noise interference in low signal-to-noise conditions, which makes it difficult to extract the poles correctly and thus greatly affects the final effect of signal fusion. In order to reduce the influence of noise, we propose to use the averaging matrix bundle algorithm to achieve multi-band pole estimation, find out the linear phase term and compensate it, and use the coherence function method to find out the fixed phase term on this basis. Finally, the signal fusion is performed by combining the Matrix pencil method using the Two-segment echo data after alignment. The simulation experiments and the measured data show that the method effectively improves the multiband signal fusion effect at low signal-to-noise ratio, which verifies the feasibility of the method.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"245 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122920749","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 : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482369
Sun Xi-yan, Hu Xun-Xiong, Ji Yuan-fa, Guo Ning
In the satellite positioning receiver, it is essential to capture the satellite signal and obtain the carrier and Doppler frequency. Whereas, there is a vital problem that the Doppler frequency offset of 100 kilohertz with the change rate of thousands of kilohertz per second under the high dynamic environment which has higher requirements on capture algorithm. Aiming at the Doppler frequency search efficiency of traditional PMF-FFT algorithm, this paper proposes a Quinn-PMF-FFT. Before estimating the Doppler frequency, there is double zero padding, the point of signal does 2N to fill after zero Fourier transform arithmetic, and makes the increase in the number of spectral signal spectrum in the main lobe, then gets more spectral information to modified of the peak position. It is also can obtain more accurate Doppler frequency estimation, and carry out the simulation experiment. Via comparing the mean square frequency error, it is verified that the Quinn-PMF-FFT algorithm can avoid the error of interpolation direction in high dynamic environment, and has higher search efficiency and estimation accuracy.
{"title":"A Method Based on Quinn Algorithm to Improve The Accuracy of PMF-FFT Doppler Frequency Estimation","authors":"Sun Xi-yan, Hu Xun-Xiong, Ji Yuan-fa, Guo Ning","doi":"10.1109/IMCEC51613.2021.9482369","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482369","url":null,"abstract":"In the satellite positioning receiver, it is essential to capture the satellite signal and obtain the carrier and Doppler frequency. Whereas, there is a vital problem that the Doppler frequency offset of 100 kilohertz with the change rate of thousands of kilohertz per second under the high dynamic environment which has higher requirements on capture algorithm. Aiming at the Doppler frequency search efficiency of traditional PMF-FFT algorithm, this paper proposes a Quinn-PMF-FFT. Before estimating the Doppler frequency, there is double zero padding, the point of signal does 2N to fill after zero Fourier transform arithmetic, and makes the increase in the number of spectral signal spectrum in the main lobe, then gets more spectral information to modified of the peak position. It is also can obtain more accurate Doppler frequency estimation, and carry out the simulation experiment. Via comparing the mean square frequency error, it is verified that the Quinn-PMF-FFT algorithm can avoid the error of interpolation direction in high dynamic environment, and has higher search efficiency and estimation accuracy.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123868244","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}
In order to predict the trend of public opinion in Weibo news, this paper proposes a public opinion analysis method based on the combination of crawler and SVM. Firstly, word2vec model is used to train the sample, and the results are used to train SVM. Then, according to the popular news comments on Weibo, crawler is used to get the news, Jieba is used to segment the words into the model to judge, and hierarchical vector machine is used to judge the emotion. Finally, based on the statistical data to judge the trend of public opinion. The experimental results show that the test result is relatively more accurate and effective for public opinion analysis.
{"title":"Public Opinion Analysis of Weibo Comments Based on Crawler and SVM","authors":"Haohong Zhang, Shaohua Li, Jingying Feng, Yiduo Liang","doi":"10.1109/IMCEC51613.2021.9482219","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482219","url":null,"abstract":"In order to predict the trend of public opinion in Weibo news, this paper proposes a public opinion analysis method based on the combination of crawler and SVM. Firstly, word2vec model is used to train the sample, and the results are used to train SVM. Then, according to the popular news comments on Weibo, crawler is used to get the news, Jieba is used to segment the words into the model to judge, and hierarchical vector machine is used to judge the emotion. Finally, based on the statistical data to judge the trend of public opinion. The experimental results show that the test result is relatively more accurate and effective for public opinion analysis.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124087535","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 : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482266
Yintu Bao, Wei Liu, Ouyang Gao, Zhikang Lin, Q. Hu
Semantic segmentation can distinguish objects in remote sensing images at the pixel level. However, traditional semantic segmentation algorithms are more and more difficult to meet people's needs. With the rapid development of deep learning, especially its application in remote sensing images has greatly improved the parsing ability and efficiency. But, the complexity and diversity of remote sensing image content make the accuracy of semantic segmentation still need to be improved. Thus, a semantic segmentation method that combines the characteristics of EfficientNet and UNet++ is proposed in this paper. The method can make the segmentation boundary clearer and improve the segmentation effect of densely distributed objects. The results show that the proposed method achieves good performance in the Vaihingen dataset.
{"title":"E-Unet++: A Semantic Segmentation Method for Remote Sensing Images","authors":"Yintu Bao, Wei Liu, Ouyang Gao, Zhikang Lin, Q. Hu","doi":"10.1109/IMCEC51613.2021.9482266","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482266","url":null,"abstract":"Semantic segmentation can distinguish objects in remote sensing images at the pixel level. However, traditional semantic segmentation algorithms are more and more difficult to meet people's needs. With the rapid development of deep learning, especially its application in remote sensing images has greatly improved the parsing ability and efficiency. But, the complexity and diversity of remote sensing image content make the accuracy of semantic segmentation still need to be improved. Thus, a semantic segmentation method that combines the characteristics of EfficientNet and UNet++ is proposed in this paper. The method can make the segmentation boundary clearer and improve the segmentation effect of densely distributed objects. The results show that the proposed method achieves good performance in the Vaihingen dataset.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125667653","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 : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482033
Chuandong Lv, Yang Yang, Qiyue Sun, Bin Zhou, Peng Xu
A large number of operation logs will be generated when surveillance personnel open surveillance video and based on these operation logs, this paper studies the behavior visualization, automatic anomaly detection and abnormal behavior analysis of the surveillance personnel by using data mining, machine learning and other methods. Using the above methods and research, this paper can mine valuable information from the operation log, which can help the surveillance personnel to realize behavior visualization and find abnormal behavior problems during the work, thus effectively avoid the occurrence of security incidents caused by improper operation of the surveillance personnel, and reduce the potential risks in the surveillance process.
{"title":"Surveillance Personnel Behavior Analysis Technology based on Operation Log","authors":"Chuandong Lv, Yang Yang, Qiyue Sun, Bin Zhou, Peng Xu","doi":"10.1109/IMCEC51613.2021.9482033","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482033","url":null,"abstract":"A large number of operation logs will be generated when surveillance personnel open surveillance video and based on these operation logs, this paper studies the behavior visualization, automatic anomaly detection and abnormal behavior analysis of the surveillance personnel by using data mining, machine learning and other methods. Using the above methods and research, this paper can mine valuable information from the operation log, which can help the surveillance personnel to realize behavior visualization and find abnormal behavior problems during the work, thus effectively avoid the occurrence of security incidents caused by improper operation of the surveillance personnel, and reduce the potential risks in the surveillance process.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129642675","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 : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482305
Binyuan Liu, Xuefeng Jin, Xinggang Wang
With the wide application and deep integration of Internet and other information technology and manufacturing enterprise information system, manufacturing big data with mass, high speed, diversity, value and other characteristics has been accumulated. According to the characteristics of mechanical product configuration design information in the big data environment, this paper studies the construction of product configuration design information model [1] and redundant data processing. The specific research contents are as follows: Based on the analysis of the sources and characteristics of mechanical product configuration design information big data, this paper puts forward a galaxy model suitable for mechanical product configuration design information, and integrates the information in product configuration design information into the galaxy model Structured data, unstructured data and semi-structured data are expressed as JSON [2] (JavaScript object notation) metadata; combined with the sensitivity and semantic similarity of keyword data source, the text similarity calculation method of JSON data file is proposed, and the redundant data processing of mechanical product configuration design information is realized.
{"title":"Information modeling and redundant data processing of mechanical product configuration design","authors":"Binyuan Liu, Xuefeng Jin, Xinggang Wang","doi":"10.1109/IMCEC51613.2021.9482305","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482305","url":null,"abstract":"With the wide application and deep integration of Internet and other information technology and manufacturing enterprise information system, manufacturing big data with mass, high speed, diversity, value and other characteristics has been accumulated. According to the characteristics of mechanical product configuration design information in the big data environment, this paper studies the construction of product configuration design information model [1] and redundant data processing. The specific research contents are as follows: Based on the analysis of the sources and characteristics of mechanical product configuration design information big data, this paper puts forward a galaxy model suitable for mechanical product configuration design information, and integrates the information in product configuration design information into the galaxy model Structured data, unstructured data and semi-structured data are expressed as JSON [2] (JavaScript object notation) metadata; combined with the sensitivity and semantic similarity of keyword data source, the text similarity calculation method of JSON data file is proposed, and the redundant data processing of mechanical product configuration design information is realized.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131202565","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}
In order to solve the problem of information island in the park and promote the informatization construction of the park, workflow technology is introduced in view of the current situation that the traditional business in the park is restricted by time and region. This paper analyzes the business requirements of the integrated management platform of the smart park, and proposes to implement the logical processing in the business process through the Flowable workflow engine. Through the leave application process, the workflow definition process is analyzed, and the human resource management module is designed and implemented based on Flowable, which shows that the workflow technology can meet the management needs of the smart park.
{"title":"Application of Workflow Technology in the Integrated Management Platform of Smart Park","authors":"Zhiyang Zhao, Xianxun Zhu, Xiong Wei, Xu Wang, Jiancun Zuo","doi":"10.1109/IMCEC51613.2021.9482103","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482103","url":null,"abstract":"In order to solve the problem of information island in the park and promote the informatization construction of the park, workflow technology is introduced in view of the current situation that the traditional business in the park is restricted by time and region. This paper analyzes the business requirements of the integrated management platform of the smart park, and proposes to implement the logical processing in the business process through the Flowable workflow engine. Through the leave application process, the workflow definition process is analyzed, and the human resource management module is designed and implemented based on Flowable, which shows that the workflow technology can meet the management needs of the smart park.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131297307","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 : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482137
Ke Zhang, Shuyan Ni, DaShuang Yan, Aidi Zhang
With the development of infrared detection technology and its independence from environmental, time and other factors, the application in space-based early warning, missile guidance and more and more, infrared small target detection technology has gradually become the focus of research on detection technology at home and abroad. Analyze the characteristics of images containing small infrared targets, review the current single-frame infrared image dim small target detection algorithms based on three types of algorithms: filtering, HVS, and image data structure, and finally provide an outlook on the detection technology.
{"title":"Review of Dim Small Target Detection Algorithms in Single-frame Infrared Images","authors":"Ke Zhang, Shuyan Ni, DaShuang Yan, Aidi Zhang","doi":"10.1109/IMCEC51613.2021.9482137","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482137","url":null,"abstract":"With the development of infrared detection technology and its independence from environmental, time and other factors, the application in space-based early warning, missile guidance and more and more, infrared small target detection technology has gradually become the focus of research on detection technology at home and abroad. Analyze the characteristics of images containing small infrared targets, review the current single-frame infrared image dim small target detection algorithms based on three types of algorithms: filtering, HVS, and image data structure, and finally provide an outlook on the detection technology.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131376271","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 : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482092
Rongqi Jiang, Yang Zhou, Yueping Peng
In order to solve the problems of disrupting aviation order, stealing private information by the abuse of commercial small drones, even terrorist attacks caused by drones, many drone target detection algorithms based on deep learning have been proposed in recent years, but due to the lack of large-scale public datasets, most of the existing researches are based on self-made datasets, the algorithms lack comparative analysis. In this paper, we summarize and analyze the current research status of intrusion drone target detection based on deep learning. The paper summarizes the existing target detection algorithms based on deep learning, aiming at the problem that public drone target datasets are insufficient and difficult to obtain, it summarizes the currently publicly available drone datasets, then summarizes the intrusion drone target detection algorithms based on deep learning in recent years. Finally, the detection performance of some algorithms under different public datasets is compared, the difficulties in current research and direction of next research are analyzed.
{"title":"A Review on Intrusion Drone Target Detection Based on Deep Learning","authors":"Rongqi Jiang, Yang Zhou, Yueping Peng","doi":"10.1109/IMCEC51613.2021.9482092","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482092","url":null,"abstract":"In order to solve the problems of disrupting aviation order, stealing private information by the abuse of commercial small drones, even terrorist attacks caused by drones, many drone target detection algorithms based on deep learning have been proposed in recent years, but due to the lack of large-scale public datasets, most of the existing researches are based on self-made datasets, the algorithms lack comparative analysis. In this paper, we summarize and analyze the current research status of intrusion drone target detection based on deep learning. The paper summarizes the existing target detection algorithms based on deep learning, aiming at the problem that public drone target datasets are insufficient and difficult to obtain, it summarizes the currently publicly available drone datasets, then summarizes the intrusion drone target detection algorithms based on deep learning in recent years. Finally, the detection performance of some algorithms under different public datasets is compared, the difficulties in current research and direction of next research are analyzed.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129897320","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 : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482084
Wenqing Zhu, Shuqun Wang
In order to realize automatic tapping massage on the acupoints on the back of the human body, this paper presents a method for implementing a three-degree-of-freedom point tapping massage system based on STM32. After building a mechanical structure based on a three-degree-of-freedom rectangular coordinate mobile platform, STM32 is used to control the movement and tapping actions of the three-degree-of-freedom platform. Secondly, the man-machine interactive interface of the system is written with python, which provides automatic and manual system operation modes to massage specific acupoints. Through the human body massage test, the two different system operation modes, automatic and manual, can meet the basic requirements, verifying the feasibility of the control system.
{"title":"Design and realization of acupoint tapping massage system with three degrees of freedom based on STM32","authors":"Wenqing Zhu, Shuqun Wang","doi":"10.1109/IMCEC51613.2021.9482084","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482084","url":null,"abstract":"In order to realize automatic tapping massage on the acupoints on the back of the human body, this paper presents a method for implementing a three-degree-of-freedom point tapping massage system based on STM32. After building a mechanical structure based on a three-degree-of-freedom rectangular coordinate mobile platform, STM32 is used to control the movement and tapping actions of the three-degree-of-freedom platform. Secondly, the man-machine interactive interface of the system is written with python, which provides automatic and manual system operation modes to massage specific acupoints. Through the human body massage test, the two different system operation modes, automatic and manual, can meet the basic requirements, verifying the feasibility of the control system.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128868725","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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