Accelerated degradation test is one of the commonly used reliability test methods for power semiconductor devices. Its principle is to implement the working conditions of the devices that exceed normal strength based on scientific theoretical derivation and the device's thermoelectric model, thereby changing the aging environment of the devices during test to analyze the degradation of device's parameters. In accelerated degradation test, one of the commonly used methods is to change the working junction temperature of the device through the constant current test. IGBT as a high-power electronic device, its working condition is usually a large current or voltage, which will cause the device to have an high junction temperature, and this situation will lead to device damage. The research content of this paper is mainly aim at the IGBT device in the accelerated degradation test, and a more accurate junction temperature measurement method is proposed than traditional methods.
{"title":"Junction Temperature Measurement of IGBT in Accelerated Degradation Test","authors":"Yaosheng Li, Zhongyuan Chen, Jinyuan Li, Chunsheng Guo","doi":"10.1109/IWECAI50956.2020.00008","DOIUrl":"https://doi.org/10.1109/IWECAI50956.2020.00008","url":null,"abstract":"Accelerated degradation test is one of the commonly used reliability test methods for power semiconductor devices. Its principle is to implement the working conditions of the devices that exceed normal strength based on scientific theoretical derivation and the device's thermoelectric model, thereby changing the aging environment of the devices during test to analyze the degradation of device's parameters. In accelerated degradation test, one of the commonly used methods is to change the working junction temperature of the device through the constant current test. IGBT as a high-power electronic device, its working condition is usually a large current or voltage, which will cause the device to have an high junction temperature, and this situation will lead to device damage. The research content of this paper is mainly aim at the IGBT device in the accelerated degradation test, and a more accurate junction temperature measurement method is proposed than traditional methods.","PeriodicalId":364789,"journal":{"name":"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126953223","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 this paper, given the problems of manual pricing errors, low ordering efficiency, and lack of data analysis capabilities in the traditional college canteen ordering method, a Cortex-A9 and Android-based college canteen ordering and pricing statistics system is designed. The system uses the Cortex-A9 microprocessor that builds the Android operating system as the host, the circuit board that builds the STM32 minimum system and the additional rocker button as the trigger, the ZigBee wireless network as the internal communication, the Android terminal as the client, and the cloud server as the data transmission and storage tool. The system realizes two ordering modes: local trigger ordering at the buttery hatch and mobile application ordering on the Internet, which can perform statistical analysis on the catering data.
{"title":"Design of College Canteen Ordering System Based on Cortex-A9 and Android","authors":"Hongyu Ding, Lizong Lin, Qian Dixin, Baibing Ouyang","doi":"10.1109/IWECAI50956.2020.00043","DOIUrl":"https://doi.org/10.1109/IWECAI50956.2020.00043","url":null,"abstract":"In this paper, given the problems of manual pricing errors, low ordering efficiency, and lack of data analysis capabilities in the traditional college canteen ordering method, a Cortex-A9 and Android-based college canteen ordering and pricing statistics system is designed. The system uses the Cortex-A9 microprocessor that builds the Android operating system as the host, the circuit board that builds the STM32 minimum system and the additional rocker button as the trigger, the ZigBee wireless network as the internal communication, the Android terminal as the client, and the cloud server as the data transmission and storage tool. The system realizes two ordering modes: local trigger ordering at the buttery hatch and mobile application ordering on the Internet, which can perform statistical analysis on the catering data.","PeriodicalId":364789,"journal":{"name":"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126109714","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 : 2020-06-01DOI: 10.1109/IWECAI50956.2020.00033
L. Ying, Bo-Cheng Tao, Shen Qi
New Retailing has been widely concerned for being as a new retailing model with an integration of logistics technology, online and offline retailing. This article aims to explore the consumer's experience behavior and preference towards the new retailing format, helping us to identify the attractive quality factors that influence the development of the new retail. Taking Freshippo as the research object, this study adopts qualitative research approach by deeply interviewing some high-involved consumers. Besides, this paper sums up the attractive factors of the new retailing format with an evaluation structure map and the analysis of it, which provides a reference for the development and optimization of the new retailing format.
{"title":"A Discussion about the Attractive Factors of Consumers in the New Retailing Format - Taking Freshippo as an Example","authors":"L. Ying, Bo-Cheng Tao, Shen Qi","doi":"10.1109/IWECAI50956.2020.00033","DOIUrl":"https://doi.org/10.1109/IWECAI50956.2020.00033","url":null,"abstract":"New Retailing has been widely concerned for being as a new retailing model with an integration of logistics technology, online and offline retailing. This article aims to explore the consumer's experience behavior and preference towards the new retailing format, helping us to identify the attractive quality factors that influence the development of the new retail. Taking Freshippo as the research object, this study adopts qualitative research approach by deeply interviewing some high-involved consumers. Besides, this paper sums up the attractive factors of the new retailing format with an evaluation structure map and the analysis of it, which provides a reference for the development and optimization of the new retailing format.","PeriodicalId":364789,"journal":{"name":"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123380427","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 : 2020-06-01DOI: 10.1109/IWECAI50956.2020.00047
Qiang Wang, Yueming Song, Ting Li
With the wide promotion and application of the construction and operation of the information system of state grid corporation, the automation and intelligence of information system is helpful to improve the management level, performance and security. However, accurate, reliable and real-time acquisition of basic data and information of the system is the foundation for the performance analysis and security. This paper studies the acquisition and collection methods of data and parameters required for the performance analysis of the power grid information system with Java probe tool of Java Agent and the Java Byte-code injection technology, in order to obtain the original performance data of the mobile terminal, browser terminal and server terminal and provide the basis for analyzing the performance analysis and security precaution of information system.
{"title":"Research on Implementation of Data Acquisition Method for Information System Performance Analysis","authors":"Qiang Wang, Yueming Song, Ting Li","doi":"10.1109/IWECAI50956.2020.00047","DOIUrl":"https://doi.org/10.1109/IWECAI50956.2020.00047","url":null,"abstract":"With the wide promotion and application of the construction and operation of the information system of state grid corporation, the automation and intelligence of information system is helpful to improve the management level, performance and security. However, accurate, reliable and real-time acquisition of basic data and information of the system is the foundation for the performance analysis and security. This paper studies the acquisition and collection methods of data and parameters required for the performance analysis of the power grid information system with Java probe tool of Java Agent and the Java Byte-code injection technology, in order to obtain the original performance data of the mobile terminal, browser terminal and server terminal and provide the basis for analyzing the performance analysis and security precaution of information system.","PeriodicalId":364789,"journal":{"name":"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133207456","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 : 2020-06-01DOI: 10.1109/IWECAI50956.2020.00037
Shengtong Yang, Z. Niu, Jianghua Cheng, Shuai Feng, Peiqin Li
To solve the problem that it is difficult to combine performance and speed of face recognition in embedded environment, we design and implement a fast face recognition method based on deep learning. Firstly, face detection and quality selection are performed based on MTCNN algorithm to reduce the amount of feature extraction data needed for recognition. Secondly, the RKNN model is used to quantify the acceleration of feature extraction. Finally, fast face recognition is realized by feature matching. The experiment shows that the method is beneficial for face recognition processing on the RK3399Pro platform, and the average time is shortened by 80% compared with that before acceleration. In the case of ensuring the feature extraction accuracy and recognition accuracy, it basically meets the real-time requirements.
{"title":"Face Recognition Speed Optimization Method for Embedded Environment","authors":"Shengtong Yang, Z. Niu, Jianghua Cheng, Shuai Feng, Peiqin Li","doi":"10.1109/IWECAI50956.2020.00037","DOIUrl":"https://doi.org/10.1109/IWECAI50956.2020.00037","url":null,"abstract":"To solve the problem that it is difficult to combine performance and speed of face recognition in embedded environment, we design and implement a fast face recognition method based on deep learning. Firstly, face detection and quality selection are performed based on MTCNN algorithm to reduce the amount of feature extraction data needed for recognition. Secondly, the RKNN model is used to quantify the acceleration of feature extraction. Finally, fast face recognition is realized by feature matching. The experiment shows that the method is beneficial for face recognition processing on the RK3399Pro platform, and the average time is shortened by 80% compared with that before acceleration. In the case of ensuring the feature extraction accuracy and recognition accuracy, it basically meets the real-time requirements.","PeriodicalId":364789,"journal":{"name":"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130128844","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}
Research on multi-antenna system gain cooperative communication and multiple-input multiple-output (MIMO) systems in modern wireless communication networks, the noise introduced by each of the multiple wireless ad-hoc network relay nodes and the signal from the interference source received by the relay node and the sink node affect the signal to noise ratio of the system, an integrated relay-and-forward amplifying base station platform for air-ground integration and a more realistic method for solving air-ground relay beamforming vectors based on the convexity optimization method are proposed, and the sink node uses maximum ratio combining (MRC) diversity for signal reception. The simulation results show that the wireless ad-hoc network relay node under the air-ground combination is in the relay cooperative forwarding and amplifying beamforming vector design. When the correlated interference noise is introduced, the final sink node receives the corresponding covariance matrix. The optimal beamforming signal in the network transmission bit error rate (BER) decreases significantly as the signal-to-noise ratio (SNR) increases; The experiment results showed that very intuitive and significant to extend the communication distance of wireless ad-hoc network nodes.
{"title":"The Air-Ground Integrated MIMO Cooperative Relay Beamforming Wireless Ad-Hoc Network Technology Research That Based on Maximum Ratio Combining","authors":"Zhifang Wang, Junguo Dong, Jianguo Yu, Zhen Yu, Shangjing Lin, Kaile Li","doi":"10.1109/IWECAI50956.2020.00010","DOIUrl":"https://doi.org/10.1109/IWECAI50956.2020.00010","url":null,"abstract":"Research on multi-antenna system gain cooperative communication and multiple-input multiple-output (MIMO) systems in modern wireless communication networks, the noise introduced by each of the multiple wireless ad-hoc network relay nodes and the signal from the interference source received by the relay node and the sink node affect the signal to noise ratio of the system, an integrated relay-and-forward amplifying base station platform for air-ground integration and a more realistic method for solving air-ground relay beamforming vectors based on the convexity optimization method are proposed, and the sink node uses maximum ratio combining (MRC) diversity for signal reception. The simulation results show that the wireless ad-hoc network relay node under the air-ground combination is in the relay cooperative forwarding and amplifying beamforming vector design. When the correlated interference noise is introduced, the final sink node receives the corresponding covariance matrix. The optimal beamforming signal in the network transmission bit error rate (BER) decreases significantly as the signal-to-noise ratio (SNR) increases; The experiment results showed that very intuitive and significant to extend the communication distance of wireless ad-hoc network nodes.","PeriodicalId":364789,"journal":{"name":"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114833508","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 : 2020-06-01DOI: 10.1109/IWECAI50956.2020.00035
Pei Lv, Min Fu, Y. Zhuo, Hang-sheng Zhao, Jianzhao Zhang
Dynamic spectrum access is an important step in the spectrum resource sharing process. However, in the case of unknown spectrum access environment and dynamic model, it is difficult to achieve global optimal resource allocation. Considering the signal-to-noise ratio (SINR) limits of the primary network (PN) and the secondary network (SN), this paper presents a dynamic spectrum access method based on the relationship between the transmission rate of a secondary user (SU) and the relative SINR, which enables the SU to obtain and update the environment information through the Q-function, adopt an optimal strategy to maximize the network performance and utilize user collaborative learning mechanism to overcome local optimum problems. The simulation results show that the number of iterations required for the proposed algorithm to achieve convergence is reduced by up to 65%, the average performance index of the system is improved by up to 35% and the proposed algorithm can also ensure the fairness among SUs compared with traditional access method.
{"title":"A Dynamic Spectrum Access Method Based on Q-Learning","authors":"Pei Lv, Min Fu, Y. Zhuo, Hang-sheng Zhao, Jianzhao Zhang","doi":"10.1109/IWECAI50956.2020.00035","DOIUrl":"https://doi.org/10.1109/IWECAI50956.2020.00035","url":null,"abstract":"Dynamic spectrum access is an important step in the spectrum resource sharing process. However, in the case of unknown spectrum access environment and dynamic model, it is difficult to achieve global optimal resource allocation. Considering the signal-to-noise ratio (SINR) limits of the primary network (PN) and the secondary network (SN), this paper presents a dynamic spectrum access method based on the relationship between the transmission rate of a secondary user (SU) and the relative SINR, which enables the SU to obtain and update the environment information through the Q-function, adopt an optimal strategy to maximize the network performance and utilize user collaborative learning mechanism to overcome local optimum problems. The simulation results show that the number of iterations required for the proposed algorithm to achieve convergence is reduced by up to 65%, the average performance index of the system is improved by up to 35% and the proposed algorithm can also ensure the fairness among SUs compared with traditional access method.","PeriodicalId":364789,"journal":{"name":"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127287900","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 : 2020-06-01DOI: 10.1109/IWECAI50956.2020.00031
Chenchen Xiao, Yurong Zhu, Hu Die, Zhenqiang Xie
As new mobile social platform, Tik Tok APP has changed the way potential tourists get information. From the perspective of tourists' perception, the study empirically studies the impact of Tik Tok on tourists' destination image perception and tourism intention. The results show that Tik Tok affects tourists' perception of destination image and tourism intention, among which interactive marketing plays a more significant role in the impact of short video marketing on image perception; as far as the impact of tourism intention is concerned, the effect of urban architecture and delicacy is more significant. On this basis, the paper puts forward some directional suggestions for tourism destination marketing through Tik Tok.
{"title":"The Impact of Tik Tok Video Marketing on Tourist Destination Image Cognition and Tourism Intention","authors":"Chenchen Xiao, Yurong Zhu, Hu Die, Zhenqiang Xie","doi":"10.1109/IWECAI50956.2020.00031","DOIUrl":"https://doi.org/10.1109/IWECAI50956.2020.00031","url":null,"abstract":"As new mobile social platform, Tik Tok APP has changed the way potential tourists get information. From the perspective of tourists' perception, the study empirically studies the impact of Tik Tok on tourists' destination image perception and tourism intention. The results show that Tik Tok affects tourists' perception of destination image and tourism intention, among which interactive marketing plays a more significant role in the impact of short video marketing on image perception; as far as the impact of tourism intention is concerned, the effect of urban architecture and delicacy is more significant. On this basis, the paper puts forward some directional suggestions for tourism destination marketing through Tik Tok.","PeriodicalId":364789,"journal":{"name":"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)","volume":"083 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129016391","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 : 2020-06-01DOI: 10.1109/IWECAI50956.2020.00036
Hao Zhang, Jie Liu, Dou-Dou Wang
With the rapid development of artificial intelligence and image processing technology, image memorability prediction has been studied more and more widely. Image memorability is applied to many fields such as education, advertising and medicine, which has important research value. Through an inductive analysis of related research, the concept of image memorability is introduced and the factors affecting image memorability are summarized. According to the different structures, the image memorability prediction methods are divided into 5 categories, and the performance of each method is introduced and compared. Finally, the method of increasing image memorability is briefly introduced, and the future research trend of image memorability is prospected.
{"title":"Review of the Application of Deep Learning in Image Memorability Prediction","authors":"Hao Zhang, Jie Liu, Dou-Dou Wang","doi":"10.1109/IWECAI50956.2020.00036","DOIUrl":"https://doi.org/10.1109/IWECAI50956.2020.00036","url":null,"abstract":"With the rapid development of artificial intelligence and image processing technology, image memorability prediction has been studied more and more widely. Image memorability is applied to many fields such as education, advertising and medicine, which has important research value. Through an inductive analysis of related research, the concept of image memorability is introduced and the factors affecting image memorability are summarized. According to the different structures, the image memorability prediction methods are divided into 5 categories, and the performance of each method is introduced and compared. Finally, the method of increasing image memorability is briefly introduced, and the future research trend of image memorability is prospected.","PeriodicalId":364789,"journal":{"name":"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115744404","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 : 2020-06-01DOI: 10.1109/IWECAI50956.2020.00026
Jingyu Wang
The phenomenon that AI researchers tend to transform some certain data into the form of graphs is prevailing. Usually, these graph-like data will be inputted into some certain artificial neutral networks which are dramatically disparate with the conventional CNN. The purpose of the algorithm employed the GNN is to extract much more detailed features that can be stored easily in the graph. However, these detailed features are much more difficult to extract in the raw data accumulated in the database, which requires the experiment to transfer the common database into the whole graph ahead of schedule. The dataset used in this paper, Cora, is commonly used in some papers whose targets aimed at semantic segmentation, while disparate with this paper as well. The result of this experiment has achieved to nearly 100% accuracy accompanied with those preprocessed data. Furthermore, this paper also attaches much focus on the effects of preprocessing operation which can be reflected on the differences of accuracy. Only by preprocessing operation can this paper achieve better results accompanied with higher accuracy when compared with other experiments.
{"title":"Text Classification Based on GNN","authors":"Jingyu Wang","doi":"10.1109/IWECAI50956.2020.00026","DOIUrl":"https://doi.org/10.1109/IWECAI50956.2020.00026","url":null,"abstract":"The phenomenon that AI researchers tend to transform some certain data into the form of graphs is prevailing. Usually, these graph-like data will be inputted into some certain artificial neutral networks which are dramatically disparate with the conventional CNN. The purpose of the algorithm employed the GNN is to extract much more detailed features that can be stored easily in the graph. However, these detailed features are much more difficult to extract in the raw data accumulated in the database, which requires the experiment to transfer the common database into the whole graph ahead of schedule. The dataset used in this paper, Cora, is commonly used in some papers whose targets aimed at semantic segmentation, while disparate with this paper as well. The result of this experiment has achieved to nearly 100% accuracy accompanied with those preprocessed data. Furthermore, this paper also attaches much focus on the effects of preprocessing operation which can be reflected on the differences of accuracy. Only by preprocessing operation can this paper achieve better results accompanied with higher accuracy when compared with other experiments.","PeriodicalId":364789,"journal":{"name":"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116078679","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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