Pub Date : 2021-09-21DOI: 10.1109/aict52120.2021.9628938
Oleksandr V Lemeshko, Oleksandra Yeremenko, A. Shapovalova, M. Yevdokymenko, Stephen Olayinka Omowumi, A. Hailan
The paper is devoted to researching a secure routing approach with a power link blocking model and load balancing. Therefore, the basic flow-based mathematical model with load balancing following the Traffic Engineering concept proposed for improving and supplementing with conditions that consider link compromise probabilities as network security parameters. The novelty of the improved Secure Traffic Engineering routing model is reflected in load balancing conditions related to links bandwidth and compromise probability. The application of the Secure Traffic Engineering model allows overload to reduce the most vulnerable in terms of compromise probability links. The power link blocking model is used as the specific functional dependence of weighting coefficients on the link compromise probability.
{"title":"Secure Routing with Power Link Blocking Model and Load Balancing","authors":"Oleksandr V Lemeshko, Oleksandra Yeremenko, A. Shapovalova, M. Yevdokymenko, Stephen Olayinka Omowumi, A. Hailan","doi":"10.1109/aict52120.2021.9628938","DOIUrl":"https://doi.org/10.1109/aict52120.2021.9628938","url":null,"abstract":"The paper is devoted to researching a secure routing approach with a power link blocking model and load balancing. Therefore, the basic flow-based mathematical model with load balancing following the Traffic Engineering concept proposed for improving and supplementing with conditions that consider link compromise probabilities as network security parameters. The novelty of the improved Secure Traffic Engineering routing model is reflected in load balancing conditions related to links bandwidth and compromise probability. The application of the Secure Traffic Engineering model allows overload to reduce the most vulnerable in terms of compromise probability links. The power link blocking model is used as the specific functional dependence of weighting coefficients on the link compromise probability.","PeriodicalId":375013,"journal":{"name":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133872958","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 : 2021-09-21DOI: 10.1109/aict52120.2021.9628937
Wei Liu, Pan Li, Z. Ye, Shuai Yang
for making the deployment distribution of wireless sensor network nodes more uniform and improve coverage, this paper proposes a node deployment optimization method based on the firefly algorithm. Firstly, a mathematical model is established to randomly deploy wireless sensor network nodes in the target area, and then the node deployment optimization problem is interpreted as a mathematical issue of searching extreme value; Finally, firefly algorithm is used for optimizing the location of wireless sensor network nodes stochastically deployed in the specified place to obtain this maximum coverage and complete the deployment. Experimental simulation results show that compared with genetic algorithm and particle swarm optimization algorithm, firefly algorithm can better avoid sinking into local optimum and avoid premature convergence. Compared with other two algorithm, the firefly algorithm has a faster search speed, better performance, and better stability.
{"title":"A Node Deployment Optimization Method of Wireless Sensor Network Based on Firefly Algorithm","authors":"Wei Liu, Pan Li, Z. Ye, Shuai Yang","doi":"10.1109/aict52120.2021.9628937","DOIUrl":"https://doi.org/10.1109/aict52120.2021.9628937","url":null,"abstract":"for making the deployment distribution of wireless sensor network nodes more uniform and improve coverage, this paper proposes a node deployment optimization method based on the firefly algorithm. Firstly, a mathematical model is established to randomly deploy wireless sensor network nodes in the target area, and then the node deployment optimization problem is interpreted as a mathematical issue of searching extreme value; Finally, firefly algorithm is used for optimizing the location of wireless sensor network nodes stochastically deployed in the specified place to obtain this maximum coverage and complete the deployment. Experimental simulation results show that compared with genetic algorithm and particle swarm optimization algorithm, firefly algorithm can better avoid sinking into local optimum and avoid premature convergence. Compared with other two algorithm, the firefly algorithm has a faster search speed, better performance, and better stability.","PeriodicalId":375013,"journal":{"name":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126182917","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 : 2021-09-21DOI: 10.1109/aict52120.2021.9628911
Oleg Riznvk, I. Tsmots, Ynrii Noga, O. Myaus
An improved method for quickly finding such interference-resistant code sequences that are capable of finding and correcting errors according to the length of the resulting code sequence is considered. The methods make it possible to create coding systems with improved quality indicators in terms of power and noise immunity. The considered noise sequences are of practical interest, as on the basis of the obtained code sequence there is an opportunity to easily and quickly find (up to 50%) and correct (up to 25%) distorted characters (from the length of the noise code sequence).
{"title":"Development of Adaptive Coding Means, Decoding of Data in Real Time Using Barker-Like Codes","authors":"Oleg Riznvk, I. Tsmots, Ynrii Noga, O. Myaus","doi":"10.1109/aict52120.2021.9628911","DOIUrl":"https://doi.org/10.1109/aict52120.2021.9628911","url":null,"abstract":"An improved method for quickly finding such interference-resistant code sequences that are capable of finding and correcting errors according to the length of the resulting code sequence is considered. The methods make it possible to create coding systems with improved quality indicators in terms of power and noise immunity. The considered noise sequences are of practical interest, as on the basis of the obtained code sequence there is an opportunity to easily and quickly find (up to 50%) and correct (up to 25%) distorted characters (from the length of the noise code sequence).","PeriodicalId":375013,"journal":{"name":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114646809","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 : 2021-09-21DOI: 10.1109/aict52120.2021.9628978
Oleksandr Striuk, Yuriy Kondratenko
Real biometric fingerprint samples belong to the category of personal data, and therefore their usage for deep learning model training may have certain limitations. Artificially generated fingerprint images do not relate to a real person and can be used freely (“privacy-friendly”). Synthesized fingerprint samples are of interest for applied research: biological (papillary lines structure and alteration), forensic (computer fingerprint identification, reconstruction, and restoration of damaged samples), technological (various methods of biometric security). Generation of artificial fingerprints that accurately reproduce the textural features of real fingerprints could be a difficult task. In this paper, we present a deep learning framework — Adaptive Deep Convolutional Generative Adversarial Network (ADCGAN) — that we have developed and researched, and which has demonstrated the ability to generate realistic fingerprint samples that are similar to real ones in terms of their feature spectrum. ADCGAN makes it possible to conduct fingerprint research, without restrictions related to the confidential nature of biometric data.
{"title":"Adaptive Deep Convolutional GAN for Fingerprint Sample Synthesis","authors":"Oleksandr Striuk, Yuriy Kondratenko","doi":"10.1109/aict52120.2021.9628978","DOIUrl":"https://doi.org/10.1109/aict52120.2021.9628978","url":null,"abstract":"Real biometric fingerprint samples belong to the category of personal data, and therefore their usage for deep learning model training may have certain limitations. Artificially generated fingerprint images do not relate to a real person and can be used freely (“privacy-friendly”). Synthesized fingerprint samples are of interest for applied research: biological (papillary lines structure and alteration), forensic (computer fingerprint identification, reconstruction, and restoration of damaged samples), technological (various methods of biometric security). Generation of artificial fingerprints that accurately reproduce the textural features of real fingerprints could be a difficult task. In this paper, we present a deep learning framework — Adaptive Deep Convolutional Generative Adversarial Network (ADCGAN) — that we have developed and researched, and which has demonstrated the ability to generate realistic fingerprint samples that are similar to real ones in terms of their feature spectrum. ADCGAN makes it possible to conduct fingerprint research, without restrictions related to the confidential nature of biometric data.","PeriodicalId":375013,"journal":{"name":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122677580","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 : 2021-09-21DOI: 10.1109/aict52120.2021.9628953
I. Safronov, T. Kazemirskiy, Andrii Samila
The analysis is carried out and the choice of the optimal type of PLD for the implementation of a digital control system for a pulsed coherent NQR spectrometer is proposed. Structural and functional synthesis of electronic devices based on FPGA EP1C6T144C8N has been carried out. The development can also be used in the study of the operation of programmable logic integrated circuits for deepening knowledge and skills in the languages for describing equipment for modeling electronic systems – Verilog HDL, VHDL.
{"title":"Development of Hardware for Digital Control System of Pulsed NQR Spectrometer","authors":"I. Safronov, T. Kazemirskiy, Andrii Samila","doi":"10.1109/aict52120.2021.9628953","DOIUrl":"https://doi.org/10.1109/aict52120.2021.9628953","url":null,"abstract":"The analysis is carried out and the choice of the optimal type of PLD for the implementation of a digital control system for a pulsed coherent NQR spectrometer is proposed. Structural and functional synthesis of electronic devices based on FPGA EP1C6T144C8N has been carried out. The development can also be used in the study of the operation of programmable logic integrated circuits for deepening knowledge and skills in the languages for describing equipment for modeling electronic systems – Verilog HDL, VHDL.","PeriodicalId":375013,"journal":{"name":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116717775","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 : 2021-09-21DOI: 10.1109/aict52120.2021.9628991
D. Chumachenko, K. Bazilevych, I. Meniailov, S. Yakovlev, T. Chumachenko
The COVID-19 pandemic has affected all areas of human activity around the world. Public health systems have shown their unpreparedness for a pandemic of this magnitude. An effective approach to managing the epidemic process is mathematical modeling. In this work, a predictive model of the dynamics of the spread of COVID-19 is built on the basis of the Ridge regression method. The model was verified using data on the incidence of COVID-19 in the UK, Germany, Japan and Ukraine. The choice of these particular countries with different dynamics of the epidemic process makes it possible to adequately investigate the accuracy of the constructed model.
{"title":"Simulation of COVID-19 Dynamics using Ridge Regression","authors":"D. Chumachenko, K. Bazilevych, I. Meniailov, S. Yakovlev, T. Chumachenko","doi":"10.1109/aict52120.2021.9628991","DOIUrl":"https://doi.org/10.1109/aict52120.2021.9628991","url":null,"abstract":"The COVID-19 pandemic has affected all areas of human activity around the world. Public health systems have shown their unpreparedness for a pandemic of this magnitude. An effective approach to managing the epidemic process is mathematical modeling. In this work, a predictive model of the dynamics of the spread of COVID-19 is built on the basis of the Ridge regression method. The model was verified using data on the incidence of COVID-19 in the UK, Germany, Japan and Ukraine. The choice of these particular countries with different dynamics of the epidemic process makes it possible to adequately investigate the accuracy of the constructed model.","PeriodicalId":375013,"journal":{"name":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126123507","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 : 2021-09-21DOI: 10.1109/aict52120.2021.9628945
Andrii Kanovskyi, Oleksandr Osolinskyi, Hrystyna Lipyanina-Goncharenko, A. Sachenko
To increase energy safety when working with electrical devices (electronic equipment), a number of devices are used, such as a circuit breaker, RCCB circuit breaker, fuse links, relays and others. All of those components are designed to protect devices or people, who work with them, but access to them is often limited, in addition, the restriction is imposed also because the user must have certain qualifications. In addition, most of the elements are located in the electrical distribution box. The proposed concept of the control system is a compact solution, and allows to measure all the necessary parameters of energy consumption, analyze this parameters and make decisions, as well as, in fact, control the power of devices remotely using modern technologies, such as IoT, which expands the functions of a standard energy security system. The system itself can be located directly at the target consumer in the form of a surge protector or Watt-meter.
{"title":"A Concept of Microprocessor-Based Electrical Load Control System with Extended Functionality","authors":"Andrii Kanovskyi, Oleksandr Osolinskyi, Hrystyna Lipyanina-Goncharenko, A. Sachenko","doi":"10.1109/aict52120.2021.9628945","DOIUrl":"https://doi.org/10.1109/aict52120.2021.9628945","url":null,"abstract":"To increase energy safety when working with electrical devices (electronic equipment), a number of devices are used, such as a circuit breaker, RCCB circuit breaker, fuse links, relays and others. All of those components are designed to protect devices or people, who work with them, but access to them is often limited, in addition, the restriction is imposed also because the user must have certain qualifications. In addition, most of the elements are located in the electrical distribution box. The proposed concept of the control system is a compact solution, and allows to measure all the necessary parameters of energy consumption, analyze this parameters and make decisions, as well as, in fact, control the power of devices remotely using modern technologies, such as IoT, which expands the functions of a standard energy security system. The system itself can be located directly at the target consumer in the form of a surge protector or Watt-meter.","PeriodicalId":375013,"journal":{"name":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128466061","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 : 2021-09-21DOI: 10.1109/aict52120.2021.9628913
Ruoxi Wang, I. Demydov, Orest Kochan, O. Krasko, M. Beshley, O. Lavriv, H. Beshley
We proposed the architecture of the 5G LTE/Narrow Band Industrial Internet of Things (NB-IIoT) network for providing real time IIoT services by allocating the narrow bandwidth spectrum and transferring some functions over the eNodeB base station to the IoT controller. This method takes into account the priority of IIoT traffic and by scheduling resources on the new IoT controller allows to leave the existing eNodeB base stations unchanged. For the first time the method of IIoT traffic prioritization is proposed, on the basis of which the modified algorithms for planning and allocating radio resources in the IoT controller are developed. The method of load balancing for 5G LTE/NB-IIoT networks was developed. The proposed methods take into account the priority of IIoT service and provide Ultra-Reliable Low-Latency Communications (URLLC) for real time IIoT services in 5G networks.
{"title":"Radio Resource Management Methods for Ultra-Reliable Low-Latency Communications in 5G LTE Narrowband Industrial Internet of Things","authors":"Ruoxi Wang, I. Demydov, Orest Kochan, O. Krasko, M. Beshley, O. Lavriv, H. Beshley","doi":"10.1109/aict52120.2021.9628913","DOIUrl":"https://doi.org/10.1109/aict52120.2021.9628913","url":null,"abstract":"We proposed the architecture of the 5G LTE/Narrow Band Industrial Internet of Things (NB-IIoT) network for providing real time IIoT services by allocating the narrow bandwidth spectrum and transferring some functions over the eNodeB base station to the IoT controller. This method takes into account the priority of IIoT traffic and by scheduling resources on the new IoT controller allows to leave the existing eNodeB base stations unchanged. For the first time the method of IIoT traffic prioritization is proposed, on the basis of which the modified algorithms for planning and allocating radio resources in the IoT controller are developed. The method of load balancing for 5G LTE/NB-IIoT networks was developed. The proposed methods take into account the priority of IIoT service and provide Ultra-Reliable Low-Latency Communications (URLLC) for real time IIoT services in 5G networks.","PeriodicalId":375013,"journal":{"name":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","volume":"41 19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128489640","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 : 2021-09-21DOI: 10.1109/aict52120.2021.9628936
I. Opirskyy, Ivan Tyshyk, Vitalii Susukailo
The article presents the main classical models of information systems security. It gives them a description—a statistical analysis of attempts to implement information threats in information systems with open architecture. The simulation of the probability of realization of information threats at different TCP/IP protocol stack levels is carried out; the simulation results are analyzed. As a result of the simulation, the values of the statistical probability of the realization of information threats in the IS for each layer of the TCP/IP protocol stack are obtained. It is established that the obtained values of the statistical probability of information threats, in general, coincide with theoretical values, which gives grounds to assert sufficient accuracy of the approximation and its applicability to assess the statistical probability of information threats at different levels of the TCP/IP protocol stack.
{"title":"Evaluation of the Possibility of Realizing the Crime of the Information System at Different Stages of TCP/IP","authors":"I. Opirskyy, Ivan Tyshyk, Vitalii Susukailo","doi":"10.1109/aict52120.2021.9628936","DOIUrl":"https://doi.org/10.1109/aict52120.2021.9628936","url":null,"abstract":"The article presents the main classical models of information systems security. It gives them a description—a statistical analysis of attempts to implement information threats in information systems with open architecture. The simulation of the probability of realization of information threats at different TCP/IP protocol stack levels is carried out; the simulation results are analyzed. As a result of the simulation, the values of the statistical probability of the realization of information threats in the IS for each layer of the TCP/IP protocol stack are obtained. It is established that the obtained values of the statistical probability of information threats, in general, coincide with theoretical values, which gives grounds to assert sufficient accuracy of the approximation and its applicability to assess the statistical probability of information threats at different levels of the TCP/IP protocol stack.","PeriodicalId":375013,"journal":{"name":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127138579","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 : 2021-09-21DOI: 10.1109/aict52120.2021.9628907
I. Pilkevych, D. Fedorchuk, O. Naumchak, M. Romanchuk
The rapid growth of the number of fake news has become a serious threat to the credibility of the governments of many countries. The extensive use of social platforms contributes to the creation and dissemination of fake news. This is actualize the task of fake news detection. Much research has already focused on this. Modern methods of detecting fake news rely heavily on textual information, examining the extracted news content or writing style based on internal knowledge. However, intentional rumors can mask the style of writing, bypassing languages and text patterns. In order to combat the spread of fake news, methods of automatic detection based on artificial intelligence and machine learning were studied. In a world where millions of articles are deleted and published every minute, this cannot be done effectively manually. The solution may be to develop a system to provide reliable automated assessment systems or to assess the reliability of different publishers and news contexts using deep learning techniques, namely graph neural networks with an inductive structure.
{"title":"Fake News Detection in the Framework of Decision-Making System through Graph Neural Network","authors":"I. Pilkevych, D. Fedorchuk, O. Naumchak, M. Romanchuk","doi":"10.1109/aict52120.2021.9628907","DOIUrl":"https://doi.org/10.1109/aict52120.2021.9628907","url":null,"abstract":"The rapid growth of the number of fake news has become a serious threat to the credibility of the governments of many countries. The extensive use of social platforms contributes to the creation and dissemination of fake news. This is actualize the task of fake news detection. Much research has already focused on this. Modern methods of detecting fake news rely heavily on textual information, examining the extracted news content or writing style based on internal knowledge. However, intentional rumors can mask the style of writing, bypassing languages and text patterns. In order to combat the spread of fake news, methods of automatic detection based on artificial intelligence and machine learning were studied. In a world where millions of articles are deleted and published every minute, this cannot be done effectively manually. The solution may be to develop a system to provide reliable automated assessment systems or to assess the reliability of different publishers and news contexts using deep learning techniques, namely graph neural networks with an inductive structure.","PeriodicalId":375013,"journal":{"name":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134078151","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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