Pub Date : 2022-07-08DOI: 10.1109/ICMSP55950.2022.9859117
Ruirong Dang, Wei Gao, Yuehan Gao
The water content of crude oil is an important parameter in the process of oil exploitation. Measuring the water content of crude oil in real time and accurately can effectively evaluate the production status and productivity of oil wells. According to the characteristics that the dielectric constants of oil and water media are greatly different and the high-frequency electromagnetic signal is sensitive to the dielectric constant, according to the designed antenna structure and measurement circuit, and the characteristics that the dielectric constant of water is affected by temperature, the frequency of excitation signal is optimized, and the temperature detection circuit is added. Through the repeated experiment on the water content of crude oil, the measurement error of water content is calibrated, A high-precision RF crude oil moisture content measuring instrument has been formed. It is verified through the built system experiment platform that the system has the advantages of low power consumption, strong real-time performance, low cost and strong reliability. It has great production guiding significance and value for the optimization of oilfield production and the realization of intelligent well completion.
{"title":"Optimization and correction of RF moisture content measurement system","authors":"Ruirong Dang, Wei Gao, Yuehan Gao","doi":"10.1109/ICMSP55950.2022.9859117","DOIUrl":"https://doi.org/10.1109/ICMSP55950.2022.9859117","url":null,"abstract":"The water content of crude oil is an important parameter in the process of oil exploitation. Measuring the water content of crude oil in real time and accurately can effectively evaluate the production status and productivity of oil wells. According to the characteristics that the dielectric constants of oil and water media are greatly different and the high-frequency electromagnetic signal is sensitive to the dielectric constant, according to the designed antenna structure and measurement circuit, and the characteristics that the dielectric constant of water is affected by temperature, the frequency of excitation signal is optimized, and the temperature detection circuit is added. Through the repeated experiment on the water content of crude oil, the measurement error of water content is calibrated, A high-precision RF crude oil moisture content measuring instrument has been formed. It is verified through the built system experiment platform that the system has the advantages of low power consumption, strong real-time performance, low cost and strong reliability. It has great production guiding significance and value for the optimization of oilfield production and the realization of intelligent well completion.","PeriodicalId":114259,"journal":{"name":"2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116682342","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 : 2022-07-08DOI: 10.1109/ICMSP55950.2022.9858947
Ming Zhang, Cuiyun Gao, Siqiang Xu
At present, password recognition in smart home has achieved some research results, but due to the relatively large China's regional differences, dialect password recognition rate in smart home is low. Aiming at the defects of dialect password recognition in smart home, a dialect password recognition system based on Convolutional Neural Network was constructed. In this study, Mel Frequency Cepstrum Coefficient is used to extract the features of Anhui northern dialect, and a Convolutional Neural Network model is constructed for training and recognition. Experimental results show that the model has a high recognition rate for dialect passwords in smart home.
{"title":"Dialect Password Recognition In Smart Home Based On Convolutional Neural Network","authors":"Ming Zhang, Cuiyun Gao, Siqiang Xu","doi":"10.1109/ICMSP55950.2022.9858947","DOIUrl":"https://doi.org/10.1109/ICMSP55950.2022.9858947","url":null,"abstract":"At present, password recognition in smart home has achieved some research results, but due to the relatively large China's regional differences, dialect password recognition rate in smart home is low. Aiming at the defects of dialect password recognition in smart home, a dialect password recognition system based on Convolutional Neural Network was constructed. In this study, Mel Frequency Cepstrum Coefficient is used to extract the features of Anhui northern dialect, and a Convolutional Neural Network model is constructed for training and recognition. Experimental results show that the model has a high recognition rate for dialect passwords in smart home.","PeriodicalId":114259,"journal":{"name":"2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116752648","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 : 2022-07-08DOI: 10.1109/ICMSP55950.2022.9859058
Zhengguo Yan, Yang LI, Jie Liu, Ke Li
With the number of casing damage wells in domestic oil and gas fields increases on a large scale, the problem of low accuracy in casing damage detection of Oil and gas Wells becomes increasingly serious. The Multi Finger Imaging Tool (MIT) and the Magnetic Thickness Tool (MTT) combination logging tool has unique advantages in detecting the change of casing diameter and wall thickness, but it is difficult to reflect the casing damage condition comprehensively and accurately. Considering that the VideoLog downhole TV can combine advantages with the former to make up for shortcomings, and further accurately detect casing loss, this paper proposes a visual combination logging technology scheme of MIT and MTT measurement. MIT/MTT and the VideoLog are mechanically connected by a special conversion head. The communication mode adopts the combination of downhole multi-core bus. By using parallel transmission technology and combining the characteristics of time-sharing operation of the instrument, the problem of signal transmission interference between the two is solved. It provides a set of innovative technical means of low cost, high efficiency and high value for the domestic and overseas field of coat damage detection.
{"title":"MIT/MTT and Visualization Logging Technology and Its Application","authors":"Zhengguo Yan, Yang LI, Jie Liu, Ke Li","doi":"10.1109/ICMSP55950.2022.9859058","DOIUrl":"https://doi.org/10.1109/ICMSP55950.2022.9859058","url":null,"abstract":"With the number of casing damage wells in domestic oil and gas fields increases on a large scale, the problem of low accuracy in casing damage detection of Oil and gas Wells becomes increasingly serious. The Multi Finger Imaging Tool (MIT) and the Magnetic Thickness Tool (MTT) combination logging tool has unique advantages in detecting the change of casing diameter and wall thickness, but it is difficult to reflect the casing damage condition comprehensively and accurately. Considering that the VideoLog downhole TV can combine advantages with the former to make up for shortcomings, and further accurately detect casing loss, this paper proposes a visual combination logging technology scheme of MIT and MTT measurement. MIT/MTT and the VideoLog are mechanically connected by a special conversion head. The communication mode adopts the combination of downhole multi-core bus. By using parallel transmission technology and combining the characteristics of time-sharing operation of the instrument, the problem of signal transmission interference between the two is solved. It provides a set of innovative technical means of low cost, high efficiency and high value for the domestic and overseas field of coat damage detection.","PeriodicalId":114259,"journal":{"name":"2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115318605","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 : 2022-07-08DOI: 10.1109/ICMSP55950.2022.9859157
Gaohui Zhou, Songlin Zhang
The key issue of robust M estimation is to construct equivalent weights based on residuals to down-weight outlying observations. However, the correlation of residuals may cause incorrectly down-weighting normal observations. Therefore, this paper aims to propose an M estimation that down-weights outlying observations based on outliers separation. The results of two examples show that the proposed method has high stability. Meanwhile, it can correctly locate the position of outliers even if the outlier rate is as high as 1/3.
{"title":"An M Estimation Based on Outliers Separation","authors":"Gaohui Zhou, Songlin Zhang","doi":"10.1109/ICMSP55950.2022.9859157","DOIUrl":"https://doi.org/10.1109/ICMSP55950.2022.9859157","url":null,"abstract":"The key issue of robust M estimation is to construct equivalent weights based on residuals to down-weight outlying observations. However, the correlation of residuals may cause incorrectly down-weighting normal observations. Therefore, this paper aims to propose an M estimation that down-weights outlying observations based on outliers separation. The results of two examples show that the proposed method has high stability. Meanwhile, it can correctly locate the position of outliers even if the outlier rate is as high as 1/3.","PeriodicalId":114259,"journal":{"name":"2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123604571","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 : 2022-07-08DOI: 10.1109/ICMSP55950.2022.9858960
X. Guan, Xinxin Sun
Vehicle identification and traffic statistics at traffic intersections is an effective approach to solve traffic congestion and realize intelligent traffic. This system proposes a vehicle detection and traffic statistics method at complex traffic intersections depending on YOLOV3 and DeepSORT algorithms. The system is suitable for multi-mode traffic junctions and can obtain accurate statistical performance.
{"title":"Vehicle Identification and Traffic Statistics System in Traffic Intersection","authors":"X. Guan, Xinxin Sun","doi":"10.1109/ICMSP55950.2022.9858960","DOIUrl":"https://doi.org/10.1109/ICMSP55950.2022.9858960","url":null,"abstract":"Vehicle identification and traffic statistics at traffic intersections is an effective approach to solve traffic congestion and realize intelligent traffic. This system proposes a vehicle detection and traffic statistics method at complex traffic intersections depending on YOLOV3 and DeepSORT algorithms. The system is suitable for multi-mode traffic junctions and can obtain accurate statistical performance.","PeriodicalId":114259,"journal":{"name":"2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124459602","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 : 2022-07-08DOI: 10.1109/ICMSP55950.2022.9858962
Lin Li, Bo Zhang
In this paper, the dynamic small signal analysis of Buck converter's main circuit in CCM working mode is carried out, and the small signal model is derived in detail by using the switching element average model method. Then design a PID compensation network to compensate the main circuit. Using Matlab software to simulate the compensation network compensation before and after the open loop transfer function of the bode diagram. Compared with the bode diagram before and after compensation, the results show that after the compensation network design, better performance is obtained and the high frequency interference can be suppressed better.
{"title":"Design of Buck Topology PID Compensation Network Based on Matlab","authors":"Lin Li, Bo Zhang","doi":"10.1109/ICMSP55950.2022.9858962","DOIUrl":"https://doi.org/10.1109/ICMSP55950.2022.9858962","url":null,"abstract":"In this paper, the dynamic small signal analysis of Buck converter's main circuit in CCM working mode is carried out, and the small signal model is derived in detail by using the switching element average model method. Then design a PID compensation network to compensate the main circuit. Using Matlab software to simulate the compensation network compensation before and after the open loop transfer function of the bode diagram. Compared with the bode diagram before and after compensation, the results show that after the compensation network design, better performance is obtained and the high frequency interference can be suppressed better.","PeriodicalId":114259,"journal":{"name":"2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125106601","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 : 2022-07-08DOI: 10.1109/ICMSP55950.2022.9858958
Yu-Zhou Gong, Guo-wang Gao, Peng Zhao, Dan Wu, Fei Wang, Su-li Yan
Crude oil water content is one of the most important parameters in the petrochemical industry and high accuracy water content testing plays an important role in the development of oil fields and the improvement of crude oil recovery. At present, there are two main types of crude oil water content testing methods: manual testing and dynamic testing, and dynamic testing can be divided into two types: contact and non-contact measurement. Existing crude oil water content detection techniques, detection principles and advantages and disadvantages are introduced, and the latest developments in water content detection technology are mentioned, such as combining elements from other fields to improve the accuracy or online performance of water content detection. With the development of testing technology, real-time online, high accuracy, multi-element fusion and intelligence will be the new trend for future development.
{"title":"The study of Water Cut Detection Methods for Crude Oil","authors":"Yu-Zhou Gong, Guo-wang Gao, Peng Zhao, Dan Wu, Fei Wang, Su-li Yan","doi":"10.1109/ICMSP55950.2022.9858958","DOIUrl":"https://doi.org/10.1109/ICMSP55950.2022.9858958","url":null,"abstract":"Crude oil water content is one of the most important parameters in the petrochemical industry and high accuracy water content testing plays an important role in the development of oil fields and the improvement of crude oil recovery. At present, there are two main types of crude oil water content testing methods: manual testing and dynamic testing, and dynamic testing can be divided into two types: contact and non-contact measurement. Existing crude oil water content detection techniques, detection principles and advantages and disadvantages are introduced, and the latest developments in water content detection technology are mentioned, such as combining elements from other fields to improve the accuracy or online performance of water content detection. With the development of testing technology, real-time online, high accuracy, multi-element fusion and intelligence will be the new trend for future development.","PeriodicalId":114259,"journal":{"name":"2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125407379","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 : 2022-07-08DOI: 10.1109/ICMSP55950.2022.9858980
Ke Zhang
Aiming at the problems that the existing aerial inspection algorithm in the transmission line is affected by the environment and complex background and other factors, resulting in poor detection effect, low accuracy and poor real-time performance. A recognition algorithm for multi-target detection of transmission lines based on BAM's Faster R-CNN is proposed. Firstly, the structure of the traditional Fast-R-CNN feature extraction network is optimized by using the residual network ResNet50 as its backbone feature extraction network and adding BAM (bottleneck attention module) to the network to improve the visibility and accuracy of the target region in the image. Secondly, we use Softer NMS instead of NMS to improve the non-maximal suppression of the images taken during the inspection. Then combined with the K-means++ clustering algorithm to optimize the anchor parameters. Finally, the FPN feature pyramid network is integrated to further improve the detection accuracy of the algorithm. The experimental results show that the detection speed and accuracy of the improved Faster R-CNN have been effectively improved, achieving a gain of +4.3 mAP.
{"title":"Faster R-CNN Transmission Line Multi-target Detection Based on BAM","authors":"Ke Zhang","doi":"10.1109/ICMSP55950.2022.9858980","DOIUrl":"https://doi.org/10.1109/ICMSP55950.2022.9858980","url":null,"abstract":"Aiming at the problems that the existing aerial inspection algorithm in the transmission line is affected by the environment and complex background and other factors, resulting in poor detection effect, low accuracy and poor real-time performance. A recognition algorithm for multi-target detection of transmission lines based on BAM's Faster R-CNN is proposed. Firstly, the structure of the traditional Fast-R-CNN feature extraction network is optimized by using the residual network ResNet50 as its backbone feature extraction network and adding BAM (bottleneck attention module) to the network to improve the visibility and accuracy of the target region in the image. Secondly, we use Softer NMS instead of NMS to improve the non-maximal suppression of the images taken during the inspection. Then combined with the K-means++ clustering algorithm to optimize the anchor parameters. Finally, the FPN feature pyramid network is integrated to further improve the detection accuracy of the algorithm. The experimental results show that the detection speed and accuracy of the improved Faster R-CNN have been effectively improved, achieving a gain of +4.3 mAP.","PeriodicalId":114259,"journal":{"name":"2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)","volume":"45 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122566301","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 : 2022-07-08DOI: 10.1109/ICMSP55950.2022.9859154
J. Zhang, Qing Liu, Bin Jiang, Dan Wu
The UWB through-wall radar plays an unique role in disaster rescue operation, by providing the identification and location of the on-site survivors under fire, earthquake, collapse and other disaster conditions, as well as anti-terrorism and explosive ordnance disposal scenarios. However, the scenario of the disaster site may be complex, and the internal structure and furnishings inside the building could not be predicted in advance. A special scene with metal obstacles in the detection space is investigated in this paper. The UWB through wall radar test system and its composition is presented, and then the algorithms for human target adaptive motion filter detection and obstacle interference suppression are discussed. Finally, a tracking trace aggregation algorithm for strong offset targets is proposed. By analyzing the test data., the results show that the adaptive target detection method proposed in this paper could effectively eliminate the interference of metal obstacles, achieving enough signal-to-noise ratio and signal-to-clutter ratio. The improved point trace aggregation algorithm is also verified in target tracking test, achieving ideal tracking and detection results are obtained.
{"title":"Adaptive human target tracking and detection algorithm for UWB through wall radar in complex scenes with metal obstacles","authors":"J. Zhang, Qing Liu, Bin Jiang, Dan Wu","doi":"10.1109/ICMSP55950.2022.9859154","DOIUrl":"https://doi.org/10.1109/ICMSP55950.2022.9859154","url":null,"abstract":"The UWB through-wall radar plays an unique role in disaster rescue operation, by providing the identification and location of the on-site survivors under fire, earthquake, collapse and other disaster conditions, as well as anti-terrorism and explosive ordnance disposal scenarios. However, the scenario of the disaster site may be complex, and the internal structure and furnishings inside the building could not be predicted in advance. A special scene with metal obstacles in the detection space is investigated in this paper. The UWB through wall radar test system and its composition is presented, and then the algorithms for human target adaptive motion filter detection and obstacle interference suppression are discussed. Finally, a tracking trace aggregation algorithm for strong offset targets is proposed. By analyzing the test data., the results show that the adaptive target detection method proposed in this paper could effectively eliminate the interference of metal obstacles, achieving enough signal-to-noise ratio and signal-to-clutter ratio. The improved point trace aggregation algorithm is also verified in target tracking test, achieving ideal tracking and detection results are obtained.","PeriodicalId":114259,"journal":{"name":"2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130992439","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 : 2022-07-08DOI: 10.1109/ICMSP55950.2022.9859128
Linyu Xu, Xiushan Wu, Ge Shi, Xiaowei Zhou
With the continuous emergence of communication products, piezoelectric film bulk acoustic resonator (FBAR), as a new star in the RF filter market, which has attracted the attention of researchers. This paper established the FBAR filter model that based on the one-dimensional simulation model of FBAR, then the influence factors of the performance of the device are simulated. The simulation results show that the insertion loss and in-band ripple of the filter are smaller under the L-type connection mode; As the effective resonance area ratio of series and parallel FBARs increases, the out-of-band suppression of the filter increases gradually, the band insertion loss becomes worse, and the passband bandwidth decreases gradually; In the L-type connection mode, with the increase of cascade order, the filter's out-of-band suppression ability is obviously enhanced, and the insertion loss also increases to a certain extent.
{"title":"Analysis and Research of Piezoelectric Thin Film Bulk Acoustic Filter","authors":"Linyu Xu, Xiushan Wu, Ge Shi, Xiaowei Zhou","doi":"10.1109/ICMSP55950.2022.9859128","DOIUrl":"https://doi.org/10.1109/ICMSP55950.2022.9859128","url":null,"abstract":"With the continuous emergence of communication products, piezoelectric film bulk acoustic resonator (FBAR), as a new star in the RF filter market, which has attracted the attention of researchers. This paper established the FBAR filter model that based on the one-dimensional simulation model of FBAR, then the influence factors of the performance of the device are simulated. The simulation results show that the insertion loss and in-band ripple of the filter are smaller under the L-type connection mode; As the effective resonance area ratio of series and parallel FBARs increases, the out-of-band suppression of the filter increases gradually, the band insertion loss becomes worse, and the passband bandwidth decreases gradually; In the L-type connection mode, with the increase of cascade order, the filter's out-of-band suppression ability is obviously enhanced, and the insertion loss also increases to a certain extent.","PeriodicalId":114259,"journal":{"name":"2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128125592","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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