Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110806
N. V. Khalina, N. Pivkina, T. S. Borzhikov
The article explores the specifics of linguistic marking of movement in virtual reality, identified with the conceptual spatialization of the new semantic environment being mastered. Obscene lexemes are recognized as spatial tags. They are considered as evidential markers of the virtual reality narrative describing the location in virtual reality and the mental transformations experienced by the experimenter. In our work, we pay attention to the research of virtual reality, which allows movement within itself. The narrative commentary of virtual reality produced by the creator and owner of the channels "Kuplinov ► Play" Dmitry Kuplinov is chosen as the material of the analysis. By means of the narrative accompanying the movement of a person into virtual reality, a special transfer zone of semantics is constructed, represented by the specific morphology of the mental and own linguistic planes. Significant in the process of constructing the methodology of analysis was the recognition of the existence of an intermediate or consensus reality between external and internal reality, including three-dimensional positions and movements of macroscopic objects, other properties of the world for which there are general descriptions in terms of classical physics.
{"title":"Evidential Markers of Virtual Reality: Linguistic Markup of the Navigation Route","authors":"N. V. Khalina, N. Pivkina, T. S. Borzhikov","doi":"10.1109/SmartIndustryCon57312.2023.10110806","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110806","url":null,"abstract":"The article explores the specifics of linguistic marking of movement in virtual reality, identified with the conceptual spatialization of the new semantic environment being mastered. Obscene lexemes are recognized as spatial tags. They are considered as evidential markers of the virtual reality narrative describing the location in virtual reality and the mental transformations experienced by the experimenter. In our work, we pay attention to the research of virtual reality, which allows movement within itself. The narrative commentary of virtual reality produced by the creator and owner of the channels \"Kuplinov ► Play\" Dmitry Kuplinov is chosen as the material of the analysis. By means of the narrative accompanying the movement of a person into virtual reality, a special transfer zone of semantics is constructed, represented by the specific morphology of the mental and own linguistic planes. Significant in the process of constructing the methodology of analysis was the recognition of the existence of an intermediate or consensus reality between external and internal reality, including three-dimensional positions and movements of macroscopic objects, other properties of the world for which there are general descriptions in terms of classical physics.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127041855","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 : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110804
A. V. Manzhosov, I. Bolodurina, N. A. Dolgushev
This article reviewed the sources on the research topic, as a result of which it was determined that the research topic is discussed, relevant in the Russian and international agenda. A comparison of asset classifications in legal acts was carried out, which determines the recommended basic list of assets. A special classification of information assets has been developed, which systematizes the classes of financial assets according to the criterion of the possibility of information security risks affecting an information asset. An algorithm for the rational construction of a list of financial assets in the field of information security has been developed. An automated tool has been developed to determine the totality of assets based on special allocations.
{"title":"Development of an Automated Method for Compiling a List of Protected Objects Based on a Special Classification of Information Assets in the Field of Information Security","authors":"A. V. Manzhosov, I. Bolodurina, N. A. Dolgushev","doi":"10.1109/SmartIndustryCon57312.2023.10110804","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110804","url":null,"abstract":"This article reviewed the sources on the research topic, as a result of which it was determined that the research topic is discussed, relevant in the Russian and international agenda. A comparison of asset classifications in legal acts was carried out, which determines the recommended basic list of assets. A special classification of information assets has been developed, which systematizes the classes of financial assets according to the criterion of the possibility of information security risks affecting an information asset. An algorithm for the rational construction of a list of financial assets in the field of information security has been developed. An automated tool has been developed to determine the totality of assets based on special allocations.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134598578","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 : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110751
Sh B Umarov
The paper presents the results of the study of the scheme of autonomous current inverter with cut-off diodes (ACI with CD) when working on an active-inductive load in terms of identifying its properties, energy characteristics and comparing the scheme with the traditional parallel current inverter with capacitive switching without additional gates. In this paper the results of critical frequency dependence on discharge circuit parameters including active-inductive load, intermediate transformer and commutating capacitor on the example of single-phase circuit (ACI with CD) are presented. It is found that the main factors that determine the critical frequency are: the value of switching capacitance, type and size of the load, load power factor. It is shown that with decrease of commutating capacitance value and load power factor (with active-inductive load) critical frequency has increasing character. Analytical expressions for currents and voltages of ACI with CD, which fully reflect electromagnetic processes occurring in the circuit, are presented.
本文介绍了工作在有源感性负载上的带有截止二极管的自主电流逆变器(ACI with CD)方案的研究结果，确定了其特性、能量特性，并与传统的无附加门的电容开关并联电流逆变器进行了比较。本文以单相电路(带CD的ACI)为例，给出了临界频率对有源感应负载、中间变压器和整流电容等放电电路参数的依赖关系。研究发现，决定临界频率的主要因素有:开关电容的取值、负载的类型和尺寸、负载功率因数。结果表明，随着换相电容值的减小和负载功率因数的减小，临界频率呈增大的趋势。给出了带CD的ACI电流和电压的解析表达式，充分反映了电路中发生的电磁过程。
{"title":"Dependence of Current Inverter Critical Frequencies on its Load Parameters","authors":"Sh B Umarov","doi":"10.1109/SmartIndustryCon57312.2023.10110751","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110751","url":null,"abstract":"The paper presents the results of the study of the scheme of autonomous current inverter with cut-off diodes (ACI with CD) when working on an active-inductive load in terms of identifying its properties, energy characteristics and comparing the scheme with the traditional parallel current inverter with capacitive switching without additional gates. In this paper the results of critical frequency dependence on discharge circuit parameters including active-inductive load, intermediate transformer and commutating capacitor on the example of single-phase circuit (ACI with CD) are presented. It is found that the main factors that determine the critical frequency are: the value of switching capacitance, type and size of the load, load power factor. It is shown that with decrease of commutating capacitance value and load power factor (with active-inductive load) critical frequency has increasing character. Analytical expressions for currents and voltages of ACI with CD, which fully reflect electromagnetic processes occurring in the circuit, are presented.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130923377","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 : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110819
Ahmad Feras Akkad, N. Erdili, E. Sosnina
The article is devoted to the problem of increasing the response speed of the D-STATCOM connected to an electrical network with distributed generation (DG). Distributed generation based on renewable energy sources (RES) has a negative impact on the quality of electricity in distribution networks. The use of the D-STATCOM allows to reduce non-sinusoidal voltage and it fluctuations in the network. The traditional control methods based on the PI controller cause a slow response of the D-STATCOM, which is unacceptable, especially in transient conditions with rapid changes in RES generation. It is proposed to use a fuzzy logic controller to increase the response speed and efficiency of the D-STATCOM and to ensure the better power quality of the DG system.
{"title":"Application of a Fuzzy Logic Controller in a D-STATCOM in an Electrical Network with Distributed Generation","authors":"Ahmad Feras Akkad, N. Erdili, E. Sosnina","doi":"10.1109/SmartIndustryCon57312.2023.10110819","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110819","url":null,"abstract":"The article is devoted to the problem of increasing the response speed of the D-STATCOM connected to an electrical network with distributed generation (DG). Distributed generation based on renewable energy sources (RES) has a negative impact on the quality of electricity in distribution networks. The use of the D-STATCOM allows to reduce non-sinusoidal voltage and it fluctuations in the network. The traditional control methods based on the PI controller cause a slow response of the D-STATCOM, which is unacceptable, especially in transient conditions with rapid changes in RES generation. It is proposed to use a fuzzy logic controller to increase the response speed and efficiency of the D-STATCOM and to ensure the better power quality of the DG system.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"76 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120896970","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 : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110778
A. Valeev, R. Tashbulatov, R. Karimov
The article is devoted to development of a system for remote condition monitoring of industrial machines and defect locating. Modern methods of diagnostics and condition monitoring are discussed. It is analyzed how Industrial Internet of Things influence on diagnostics. It gives a number of advantages that are discussed in the Paper. Authors develop an online automatic system of condition monitoring. Structure of this system is presented. Also development of structure of a monitoring unit of the system is provided. Authors suggest using the methods of condition monitoring using strain gauge analysis that they have developed previously. Algorithm of aggregating of data and anomalies defecting for defect control is presented.
{"title":"Development of a System for Remote Condition Monitoring of Industrial Machines and Defect Locating","authors":"A. Valeev, R. Tashbulatov, R. Karimov","doi":"10.1109/SmartIndustryCon57312.2023.10110778","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110778","url":null,"abstract":"The article is devoted to development of a system for remote condition monitoring of industrial machines and defect locating. Modern methods of diagnostics and condition monitoring are discussed. It is analyzed how Industrial Internet of Things influence on diagnostics. It gives a number of advantages that are discussed in the Paper. Authors develop an online automatic system of condition monitoring. Structure of this system is presented. Also development of structure of a monitoring unit of the system is provided. Authors suggest using the methods of condition monitoring using strain gauge analysis that they have developed previously. Algorithm of aggregating of data and anomalies defecting for defect control is presented.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116298760","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 : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110750
D. Shnayder, E. Kalinina
The paper suggests a solution to the task of evaluating the current quantitative characteristics of the material at different stages of non-ferrous metal ore beneficiation by a flotation method. For the purpose thereof, the digital twin was applied. Practical application of such an approach will inform an operator about pulp consumption values in a large amount of points of a processing unit without installation of additional metering equipment. Moreover, the digital twin can be used as a unit of an automated information management system to optimize the operation modes of the equipment used for the ore beneficiation process.
{"title":"Development of the Digital Twin for Flotation of Non-Ferrous Metal Ore Beneficiation","authors":"D. Shnayder, E. Kalinina","doi":"10.1109/SmartIndustryCon57312.2023.10110750","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110750","url":null,"abstract":"The paper suggests a solution to the task of evaluating the current quantitative characteristics of the material at different stages of non-ferrous metal ore beneficiation by a flotation method. For the purpose thereof, the digital twin was applied. Practical application of such an approach will inform an operator about pulp consumption values in a large amount of points of a processing unit without installation of additional metering equipment. Moreover, the digital twin can be used as a unit of an automated information management system to optimize the operation modes of the equipment used for the ore beneficiation process.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123585722","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 : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110759
A. A. Kuznetsov, A. Gorlov, M. Volchanina
The article describes a device for simulating various insulation defects for use with acoustic monitoring systems for power transformers. The parameters of the recorded signals of the simulator are given, this makes it possible to recognize various insulation defects when diagnosing power transformers under operating conditions. Simulator experiments were performed with a different set of defects. Values of parameters of acoustic control signals for various insulation defects of power transformers are obtained. Experiments of automated means of acoustic control have been made. Technical means have been developed to simulate various insulation defects in power transformers. A structural diagram of a simulator with a different set of defects has been developed. The device allows to reproduce various defects in the power transformers insulation, as well as to recognize such defects according to the proposed parameters of the acoustic control signals.
{"title":"Research of High-Voltage Discharge in Oil on a Simulator with a Various Set of Defects","authors":"A. A. Kuznetsov, A. Gorlov, M. Volchanina","doi":"10.1109/SmartIndustryCon57312.2023.10110759","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110759","url":null,"abstract":"The article describes a device for simulating various insulation defects for use with acoustic monitoring systems for power transformers. The parameters of the recorded signals of the simulator are given, this makes it possible to recognize various insulation defects when diagnosing power transformers under operating conditions. Simulator experiments were performed with a different set of defects. Values of parameters of acoustic control signals for various insulation defects of power transformers are obtained. Experiments of automated means of acoustic control have been made. Technical means have been developed to simulate various insulation defects in power transformers. A structural diagram of a simulator with a different set of defects has been developed. The device allows to reproduce various defects in the power transformers insulation, as well as to recognize such defects according to the proposed parameters of the acoustic control signals.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124762455","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 : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110748
A. Salita, A. Krasov
The number of crimes committed by insiders has increased dramatically over the past 10 years. Insiders use various technologies, including steganography, to bypass security measures and steal confidential information. In this paper, we analyse the methods that can be used to identify the steganographic channel and steganographic insider, such as Shannon information entropy method, Kolmogorov-Smirnov method, probability distribution variance comparison method, machine learning method and neural network method. Based on these methods, some programs were written to identify steganographic channels in the network. Each of the methods was tested on real enterprise traffic. As a result it is possible to say whether these methods are suitable for use in the enterprise network or nor.
{"title":"Network Stegoinsider Detection","authors":"A. Salita, A. Krasov","doi":"10.1109/SmartIndustryCon57312.2023.10110748","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110748","url":null,"abstract":"The number of crimes committed by insiders has increased dramatically over the past 10 years. Insiders use various technologies, including steganography, to bypass security measures and steal confidential information. In this paper, we analyse the methods that can be used to identify the steganographic channel and steganographic insider, such as Shannon information entropy method, Kolmogorov-Smirnov method, probability distribution variance comparison method, machine learning method and neural network method. Based on these methods, some programs were written to identify steganographic channels in the network. Each of the methods was tested on real enterprise traffic. As a result it is possible to say whether these methods are suitable for use in the enterprise network or nor.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124657857","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 : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110768
V. Gribova, E. Shalfeeva
The paper describes a cloud-based ontological framework for designing hybrid cloud software systems and services for predicting patient conditions and assessing the risk of critical conditions and events. The proposed solution is based on integrated semantic models for the formation of knowledge, documents, hypotheses and reasoned decisions in medicine. These complexes combine several types of sources for the formation of knowledge bases and various methods and approaches to solving such problems (mathematical modeling, machine learning, and knowledge engineering). For a group of diseases or a section of medicine, knowledge bases are formed about diseases that have passed the verification procedure or that doctors are ready to trust a priori. The means of declarative description of the rules of interpretation of knowledge about the dynamics of the development of diseases and numerical values from predictive models are provided.
{"title":"Ontological Framework for Constructing Hybrid Prognoses and Risk Assessment of Critical Conditions of Patients","authors":"V. Gribova, E. Shalfeeva","doi":"10.1109/SmartIndustryCon57312.2023.10110768","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110768","url":null,"abstract":"The paper describes a cloud-based ontological framework for designing hybrid cloud software systems and services for predicting patient conditions and assessing the risk of critical conditions and events. The proposed solution is based on integrated semantic models for the formation of knowledge, documents, hypotheses and reasoned decisions in medicine. These complexes combine several types of sources for the formation of knowledge bases and various methods and approaches to solving such problems (mathematical modeling, machine learning, and knowledge engineering). For a group of diseases or a section of medicine, knowledge bases are formed about diseases that have passed the verification procedure or that doctors are ready to trust a priori. The means of declarative description of the rules of interpretation of knowledge about the dynamics of the development of diseases and numerical values from predictive models are provided.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125179101","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 : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110835
Dmitry Antonov, P. Burankina, Vitaly Dement’ev
AI technologies gain value when they become an essential tool for the industry. In this article, we show the result of turning image recognition technology into an industrial tool for vehicle fleet management. The relevance of the drivers' actions monitoring task is substantiated. The choice of a object detection model was carried out among two-stage and single-stage models. R-CNN, Fast R-CNN, Faster R-CNN, R-FCN, SSD, RetinaNet, CenterNet and YOLOv4 were considered. Comparison of the different object detectors specifications is convinced us to choose YOLOv4. This choice is due to a good balance between performance, the ability to control the probability of false alarms, high recognition accuracy, and the presence of a special simplified version. In the paper we presented the results of YOLOv4 and YOLOv4-tiny research. The result is applicable to solving the problem of real-time recognition of driver actions, including on low-power platforms.
{"title":"Digital Assistant to Operator","authors":"Dmitry Antonov, P. Burankina, Vitaly Dement’ev","doi":"10.1109/SmartIndustryCon57312.2023.10110835","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110835","url":null,"abstract":"AI technologies gain value when they become an essential tool for the industry. In this article, we show the result of turning image recognition technology into an industrial tool for vehicle fleet management. The relevance of the drivers' actions monitoring task is substantiated. The choice of a object detection model was carried out among two-stage and single-stage models. R-CNN, Fast R-CNN, Faster R-CNN, R-FCN, SSD, RetinaNet, CenterNet and YOLOv4 were considered. Comparison of the different object detectors specifications is convinced us to choose YOLOv4. This choice is due to a good balance between performance, the ability to control the probability of false alarms, high recognition accuracy, and the presence of a special simplified version. In the paper we presented the results of YOLOv4 and YOLOv4-tiny research. The result is applicable to solving the problem of real-time recognition of driver actions, including on low-power platforms.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127446531","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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