Pub Date : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042916
Jingjiu Chen, Lei Yang, Ziqiao Qiu
Target attack identification and detection has always been a concern of network security in the current environment. However, the economic losses caused by DDoS attacks are also enormous. In recent years, DDoS attack detection has made great progress mainly in the user application layer of the network layer. In this paper, a review and discussion are carried out according to the different detection methods and platforms. This paper mainly includes three parts, which respectively review statistics-based machine learning detection, target attack detection on SDN platform and attack detection on cloud service platform. Finally, the research suggestions for DDoS attack detection are given.
{"title":"Survey of DDoS Attack Detection Technology for Traceability","authors":"Jingjiu Chen, Lei Yang, Ziqiao Qiu","doi":"10.1109/ECICE55674.2022.10042916","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042916","url":null,"abstract":"Target attack identification and detection has always been a concern of network security in the current environment. However, the economic losses caused by DDoS attacks are also enormous. In recent years, DDoS attack detection has made great progress mainly in the user application layer of the network layer. In this paper, a review and discussion are carried out according to the different detection methods and platforms. This paper mainly includes three parts, which respectively review statistics-based machine learning detection, target attack detection on SDN platform and attack detection on cloud service platform. Finally, the research suggestions for DDoS attack detection are given.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124744484","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042834
Xiangwang Zheng, Xiaxia Zeng, Qing Liu
From the perspective of users, we analyzed the functional requirements of the computer network virtual experiment platform and studied the system architecture, functional modules, database, and other key technologies. Big data intelligent analysis is adopted in the system design so that a more reasonable virtual experiment platform network can be designed to provide a reference, and then better play the role of big data.
{"title":"Research on Architecture and Key Technologies of Big Data Intelligent Analysis Platform for Computer Network Virtual Experiment","authors":"Xiangwang Zheng, Xiaxia Zeng, Qing Liu","doi":"10.1109/ECICE55674.2022.10042834","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042834","url":null,"abstract":"From the perspective of users, we analyzed the functional requirements of the computer network virtual experiment platform and studied the system architecture, functional modules, database, and other key technologies. Big data intelligent analysis is adopted in the system design so that a more reasonable virtual experiment platform network can be designed to provide a reference, and then better play the role of big data.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129914950","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042829
Jaesung Park, Yujin Lim
Mobile edge computing (MEC) is one of the promising solutions for 5G networks, which provides computing resources on network edges for end users. In these networks, MEC servers are densely deployed to meet the requirements of computation-intensive tasks. Besides, the traffic distribution in the MEC network is heterogeneous due to the spatial and temporal dynamics. It is already known that idle power consumption of MEC servers takes up a large portion of the total network energy consumption. Thus, we address a sleep control problem to optimize the energy consumption in a dense MEC network. First, we formulate the energy optimization problem under delay constraint. Then, the problem is addressed by using the lateral induction and inhibition mechanism which is one of the bio-inspired methods. We propose a sleep control method through the delta-notch signaling among neighboring MEC servers. The experimental results show that the proposed algorithm can reduce energy consumption effectively under delay constraints.
{"title":"Toward Adaptive Energy Management for Mobile Edge Networks","authors":"Jaesung Park, Yujin Lim","doi":"10.1109/ECICE55674.2022.10042829","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042829","url":null,"abstract":"Mobile edge computing (MEC) is one of the promising solutions for 5G networks, which provides computing resources on network edges for end users. In these networks, MEC servers are densely deployed to meet the requirements of computation-intensive tasks. Besides, the traffic distribution in the MEC network is heterogeneous due to the spatial and temporal dynamics. It is already known that idle power consumption of MEC servers takes up a large portion of the total network energy consumption. Thus, we address a sleep control problem to optimize the energy consumption in a dense MEC network. First, we formulate the energy optimization problem under delay constraint. Then, the problem is addressed by using the lateral induction and inhibition mechanism which is one of the bio-inspired methods. We propose a sleep control method through the delta-notch signaling among neighboring MEC servers. The experimental results show that the proposed algorithm can reduce energy consumption effectively under delay constraints.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123498048","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042893
Hao Zhu, Hanxin Shen, Siyu Deng, Jiaxiang Ye, Zeyu Xiao
In order to better estimate the State of Charge (SOC) of lithium batteries, this paper proposed a novel approach that combined the open circuit voltage (OCV) scheme, the ampere-hour (AH) integration strategy and the extended Kalman filter (EKF) method. Based on experimental data of battery pulse charging and discharging under hybrid pulse power, the equivalent circuit model of the second-order Resistor-Capacitance (SoRC) network was created. Besides, the curve of the corresponding relationship between SOC and open circuit voltage was fitted so as to identify the equivalent circuit model parameters of lithium batteries. Moreover, the novel SOC fusion algorithm was evaluated and simulated in MATLAB software. The obtained results demonstrated that under the dynamic test condition, the proposed fusion strategy accelerated the convergence of the EKF method for the predicted value and avoided the accumulative error of the AH integration strategy in the SOC value range of 90%-100% by utilizing the OCV to obtain the initial value of SOC. The proposed method estimates the SOC of the battery in real time and controls the SOC estimation error within 2%.
{"title":"Research on SOC Estimation of Lithium Batteries Based on Novel Fusion Algorithm","authors":"Hao Zhu, Hanxin Shen, Siyu Deng, Jiaxiang Ye, Zeyu Xiao","doi":"10.1109/ECICE55674.2022.10042893","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042893","url":null,"abstract":"In order to better estimate the State of Charge (SOC) of lithium batteries, this paper proposed a novel approach that combined the open circuit voltage (OCV) scheme, the ampere-hour (AH) integration strategy and the extended Kalman filter (EKF) method. Based on experimental data of battery pulse charging and discharging under hybrid pulse power, the equivalent circuit model of the second-order Resistor-Capacitance (SoRC) network was created. Besides, the curve of the corresponding relationship between SOC and open circuit voltage was fitted so as to identify the equivalent circuit model parameters of lithium batteries. Moreover, the novel SOC fusion algorithm was evaluated and simulated in MATLAB software. The obtained results demonstrated that under the dynamic test condition, the proposed fusion strategy accelerated the convergence of the EKF method for the predicted value and avoided the accumulative error of the AH integration strategy in the SOC value range of 90%-100% by utilizing the OCV to obtain the initial value of SOC. The proposed method estimates the SOC of the battery in real time and controls the SOC estimation error within 2%.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116315437","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042931
Kuzmin Egor
In this paper, the construction and testing of water surface buoy is reviewed. The main idea of the device is to collect, save, and send collected data. The outcomes of the work are engineering documentation drawings, schematics, and collected data that are processed during the experiment. The main idea of the work is to create a modular prototype that meets the stated requirements.
{"title":"Fabrication of Water Surface Buoy Device","authors":"Kuzmin Egor","doi":"10.1109/ECICE55674.2022.10042931","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042931","url":null,"abstract":"In this paper, the construction and testing of water surface buoy is reviewed. The main idea of the device is to collect, save, and send collected data. The outcomes of the work are engineering documentation drawings, schematics, and collected data that are processed during the experiment. The main idea of the work is to create a modular prototype that meets the stated requirements.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127884702","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042930
Zaur Nuriakhmetov, D. Smovzh, Y. Chernousov, I. Ikryanov, I. Shebolaev
The paper presents the results of the experimental study of the effect of coating the inner walls of the microwave resonator with graphene on its electrodynamic parameters and the temporal evolution of the secondary emission resonant discharge (multifactor effect). Resonator of toroidal type with a resonance frequency of 2459 MHz was used. The gap distance between the electrode was 4 mm. Excitation of the resonator was carried out by a microwave generator with a maximum pulse microwave power up to 100 W and pulse duration 6 $mu$s. In this work we investigate the development of the multipactor on the copper electrodes, the surface of which was coated with graphene by chemical vapor deposition method. It is shown that the graphene coating does not affect the electrodynamic parameters of the resonator (such as resonant frequency and quality factor) and suppresses the multipactor discharge in the used geometry of the cavity and the investigated range of microwave power.
{"title":"Suppression of Multipactor Discharge by Using Graphene Coating of the Inner Walls of the Microwave Cavity","authors":"Zaur Nuriakhmetov, D. Smovzh, Y. Chernousov, I. Ikryanov, I. Shebolaev","doi":"10.1109/ECICE55674.2022.10042930","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042930","url":null,"abstract":"The paper presents the results of the experimental study of the effect of coating the inner walls of the microwave resonator with graphene on its electrodynamic parameters and the temporal evolution of the secondary emission resonant discharge (multifactor effect). Resonator of toroidal type with a resonance frequency of 2459 MHz was used. The gap distance between the electrode was 4 mm. Excitation of the resonator was carried out by a microwave generator with a maximum pulse microwave power up to 100 W and pulse duration 6 $mu$s. In this work we investigate the development of the multipactor on the copper electrodes, the surface of which was coated with graphene by chemical vapor deposition method. It is shown that the graphene coating does not affect the electrodynamic parameters of the resonator (such as resonant frequency and quality factor) and suppresses the multipactor discharge in the used geometry of the cavity and the investigated range of microwave power.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132458631","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042842
Runfeng Yang, Kai-En Yang, Xiaoning Chen
When using deep learning technology to achieve foreground detection for Unmanned Ground Vehicles (UGV), its visual real-time processing tasks need to be completed with customized embedded platforms. A large amount of reliable visual data for deep learning is provided to a video acquisition system. We present a video acquisition system for deep learning in construction transporter self-driving application to effectively shield electromagnetic interference in various frequency bands, cope with complex scenes and different types of light pollution, simplify the processing of original image data by the visual controller and the transmission mode of installation wiring, and provide a solution with high stability, high bandwidth, high reliability, long distance and low delay for image data transmission.
{"title":"Design of Video Acquisition System for Construction Transporter Self-driving on Deep Learning","authors":"Runfeng Yang, Kai-En Yang, Xiaoning Chen","doi":"10.1109/ECICE55674.2022.10042842","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042842","url":null,"abstract":"When using deep learning technology to achieve foreground detection for Unmanned Ground Vehicles (UGV), its visual real-time processing tasks need to be completed with customized embedded platforms. A large amount of reliable visual data for deep learning is provided to a video acquisition system. We present a video acquisition system for deep learning in construction transporter self-driving application to effectively shield electromagnetic interference in various frequency bands, cope with complex scenes and different types of light pollution, simplify the processing of original image data by the visual controller and the transmission mode of installation wiring, and provide a solution with high stability, high bandwidth, high reliability, long distance and low delay for image data transmission.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133996369","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042891
Jialing Li, Xianye Cao, Yong Luo, Siyu Zeng
Hospital bed resources need to be managed efficiently for an emergency. The random arrival of emergency patients causes difficulties in the management of hospital beds. Thus, given the uncertainty in the arrival of emergency patients, a simulation model is established for the capacity allocation of hospital beds. Considering the seasonal effects, different seasonality levels are calculated by using real data from hospitals. Then, different bed allocation strategies considering and not considering seasonal adjustment are obtained by different parameter settings. The research results show that the allocated capacity decreases with the decrease in r value for emergency patients. The capacity allocated to the patients increases with the decrease in r value due to the decrease of the total capacity allocated to the emergency patients. With the decrease in the value, the difference in capacity between the elective and emergency patients is evenly distributed. The strategies in this study provide a reference for the capacity allocation of hospital beds.
{"title":"Research on Capacity Allocation of Hospital Beds Used for Emergency and Elective Patients Considering Seasonal Effects","authors":"Jialing Li, Xianye Cao, Yong Luo, Siyu Zeng","doi":"10.1109/ECICE55674.2022.10042891","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042891","url":null,"abstract":"Hospital bed resources need to be managed efficiently for an emergency. The random arrival of emergency patients causes difficulties in the management of hospital beds. Thus, given the uncertainty in the arrival of emergency patients, a simulation model is established for the capacity allocation of hospital beds. Considering the seasonal effects, different seasonality levels are calculated by using real data from hospitals. Then, different bed allocation strategies considering and not considering seasonal adjustment are obtained by different parameter settings. The research results show that the allocated capacity decreases with the decrease in r value for emergency patients. The capacity allocated to the patients increases with the decrease in r value due to the decrease of the total capacity allocated to the emergency patients. With the decrease in the value, the difference in capacity between the elective and emergency patients is evenly distributed. The strategies in this study provide a reference for the capacity allocation of hospital beds.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130886133","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042871
Chun-Ching Hsiao, Sheng-Han Lin
Waterproof and breathable socks are the focus of hosiery development. The greater demand prompts the need for automated systems and production line planning to further reduce manpower requirements in the process of technological development. We discuss production line planning in this paper. A textile permeation operation is carried out in a circular production line. The permeation process includes three processes: soaking water-based PU resin, drying and removing moisture, and hosiery cooling. By the above production process, the development of the production line requires the integration of six modules to form a complete production line. The purpose of increasing the production capacity and reducing the floor space is achieved by the closed chain circulation production line. When the sock mold enters each process workstation, the angle is adjusted by the auxiliary guide rail, so that the sock body can enter the drying process and the cooling process after being permeated. Integrating the modular design of the above mechanisms with a variety of mold combinations, a variety of products are produced to achieve the purpose of flexible manufacturing and automated production by replacing the modules and molds.
{"title":"Design and Development of 3D Mechanism for Automatic Production Line of Hosiery Waterproof Coating","authors":"Chun-Ching Hsiao, Sheng-Han Lin","doi":"10.1109/ECICE55674.2022.10042871","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042871","url":null,"abstract":"Waterproof and breathable socks are the focus of hosiery development. The greater demand prompts the need for automated systems and production line planning to further reduce manpower requirements in the process of technological development. We discuss production line planning in this paper. A textile permeation operation is carried out in a circular production line. The permeation process includes three processes: soaking water-based PU resin, drying and removing moisture, and hosiery cooling. By the above production process, the development of the production line requires the integration of six modules to form a complete production line. The purpose of increasing the production capacity and reducing the floor space is achieved by the closed chain circulation production line. When the sock mold enters each process workstation, the angle is adjusted by the auxiliary guide rail, so that the sock body can enter the drying process and the cooling process after being permeated. Integrating the modular design of the above mechanisms with a variety of mold combinations, a variety of products are produced to achieve the purpose of flexible manufacturing and automated production by replacing the modules and molds.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132923642","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042881
Y. Zu
With the popularity of English in China, Chinese-English mixed rhetorical question has become a common expression in China. Mixed Chinese-English rhetorical questions have rich emotional overtones, and if they can be correctly identified, they improve the results of sentiment analysis and other tasks. Using semi-supervised learning and active learning methods, a semi-automatic collection of the rhetorical corpus is proposed to construct a Chinese-English rhetorical corpus of web text. Based on the corpus, the characteristics of Chinese-English mixed rhetorical questions are analyzed from the aspects of semantic features, positional features, and syntactic path features to carry out a rhetorical question recognition experiment. Experimental results show that the rhetorical question corpus constructed from online texts trains a rhetorical question recognition model with high performance, and the accuracy, recall, and F1 values of the model are higher than 90%. At the same time, the experimental results verify the effectiveness of syntactic path features and location features in identifying rhetorical questions.
{"title":"Research on Chinese-English Hybrid Rhetorical Question Recognition Model and Corpus Construction of Intelligent Web Text","authors":"Y. Zu","doi":"10.1109/ECICE55674.2022.10042881","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042881","url":null,"abstract":"With the popularity of English in China, Chinese-English mixed rhetorical question has become a common expression in China. Mixed Chinese-English rhetorical questions have rich emotional overtones, and if they can be correctly identified, they improve the results of sentiment analysis and other tasks. Using semi-supervised learning and active learning methods, a semi-automatic collection of the rhetorical corpus is proposed to construct a Chinese-English rhetorical corpus of web text. Based on the corpus, the characteristics of Chinese-English mixed rhetorical questions are analyzed from the aspects of semantic features, positional features, and syntactic path features to carry out a rhetorical question recognition experiment. Experimental results show that the rhetorical question corpus constructed from online texts trains a rhetorical question recognition model with high performance, and the accuracy, recall, and F1 values of the model are higher than 90%. At the same time, the experimental results verify the effectiveness of syntactic path features and location features in identifying rhetorical questions.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133450098","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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