Pub Date : 2024-07-24DOI: 10.18469/ikt.2023.21.4.02
Modern high-end cars have many electronic control units for driving assistance that combine huge amounts of data about the functioning of car components. A significant part of these vehicles use a controller area network for communication between electronic units. Controller area network is a simple and reliable network protocol that due to its simplicity lacks any security mechanisms for data transmission. The problem of controller area network vulnerability is worsening as constantly growing amounts of data between cars, road infrastructure and the Internet. The traffic of attacks on controller area networks can be treated as abnormal that allows using anomaly detection methods for their recognition. In this work we propose the recurrent long short-term memory encoder-decoder neural network for controller area network attacks detection.
{"title":"TRAFFIC ANOMALY DETECTION IN VEHICLE BUS BY RECURRENT LSTM NEURAL NETWORK","authors":"","doi":"10.18469/ikt.2023.21.4.02","DOIUrl":"https://doi.org/10.18469/ikt.2023.21.4.02","url":null,"abstract":"Modern high-end cars have many electronic control units for driving assistance that combine huge amounts of data about the functioning of car components. A significant part of these vehicles use a controller area network for communication between electronic units. Controller area network is a simple and reliable network protocol that due to its simplicity lacks any security mechanisms for data transmission. The problem of controller area network vulnerability is worsening as constantly growing amounts of data between cars, road infrastructure and the Internet. The traffic of attacks on controller area networks can be treated as abnormal that allows using anomaly detection methods for their recognition. In this work we propose the recurrent long short-term memory encoder-decoder neural network for controller area network attacks detection.","PeriodicalId":508406,"journal":{"name":"Infokommunikacionnye tehnologii","volume":"68 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141806719","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 : 2024-07-24DOI: 10.18469/ikt.2023.21.4.10
The article relate to the development of an reader’s electronic diary by AGILE technology. It is needed for reader competency of primary school students. The current students were born in a new information environment. They master information and software faster than adults (for example, gadgets, tablet PC, mobile devices, etc.) The disadvantage is this information environment is reluctance to read. One of the stimulation tools to reading is electronic reader’s diary technology applied in the educational process. The regular reader’s diary is a report about books read. The aim of the reader’s diary is skills reflection and development of the critical analysis skills formation. The project software is designed for primary school students (age 7-10 years). Independent reading skills form at primary school age. It improves cognitive interests of school students, enhances knowledge, and is the formation of a harmoniously developed personality. The electronic reader’s diary stimulates the knowledge interests and consolidates the reading material by AGILE technology and additional interactivity with the school students. The research relates to the architecture of the developed solution, in particular, the issue of the «automated process control system of education system resources» integration. Also, the article contains the map of the developed graphical user interface screen and describing main electronic reader’s diary screens. This research will be intended to boost cognitive and creative activity of students.
{"title":"WEB APPLICATION «ELECTRONIC READER’S DIARY» BY AGILE TECHNOLOGY","authors":"","doi":"10.18469/ikt.2023.21.4.10","DOIUrl":"https://doi.org/10.18469/ikt.2023.21.4.10","url":null,"abstract":"The article relate to the development of an reader’s electronic diary by AGILE technology. It is needed for reader competency of primary school students. The current students were born in a new information environment. They master information and software faster than adults (for example, gadgets, tablet PC, mobile devices, etc.) The disadvantage is this information environment is reluctance to read. One of the stimulation tools to reading is electronic reader’s diary technology applied in the educational process. The regular reader’s diary is a report about books read. The aim of the reader’s diary is skills reflection and development of the critical analysis skills formation. The project software is designed for primary school students (age 7-10 years). Independent reading skills form at primary school age. It improves cognitive interests of school students, enhances knowledge, and is the formation of a harmoniously developed personality. The electronic reader’s diary stimulates the knowledge interests and consolidates the reading material by AGILE technology and additional interactivity with the school students. The research relates to the architecture of the developed solution, in particular, the issue of the «automated process control system of education system resources» integration. Also, the article contains the map of the developed graphical user interface screen and describing main electronic reader’s diary screens. This research will be intended to boost cognitive and creative activity of students.","PeriodicalId":508406,"journal":{"name":"Infokommunikacionnye tehnologii","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141807137","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 : 2024-07-24DOI: 10.18469/ikt.2023.21.4.12
The article is devoted to the study of control algorithms for manipulation robots to perform complex technological operations at enterprises in order to optimize working process time. In today’s business environment, in order to maximize efficiency of production management in highly competitive environment, enterprises need to constantly improve work process automating methods using robots and artificial intelligence. Authors of this article take an in-depth look at the real-world challenges that manipulation robots face in performing complex operations in industrial environment. The work discusses various approaches to control manipulation robots. These approaches include adaptive control method, program control method, sensor control method and collaborative control method. Application of artificial intelligence in the control of manipulation robots allows making decisions based on analyzing of large data amounts, learning from experience and adapting to the environment.
{"title":"CONCEPT OF APPLICATION OF CONTROL ALGORITHMS FOR MANIPULATION ROBOTS TO PERFORM COMPLEX TECHNOLOGICAL OPERATIONS IN INDUSTRY","authors":"","doi":"10.18469/ikt.2023.21.4.12","DOIUrl":"https://doi.org/10.18469/ikt.2023.21.4.12","url":null,"abstract":"The article is devoted to the study of control algorithms for manipulation robots to perform complex technological operations at enterprises in order to optimize working process time. In today’s business environment, in order to maximize efficiency of production management in highly competitive environment, enterprises need to constantly improve work process automating methods using robots and artificial intelligence. Authors of this article take an in-depth look at the real-world challenges that manipulation robots face in performing complex operations in industrial environment. The work discusses various approaches to control manipulation robots. These approaches include adaptive control method, program control method, sensor control method and collaborative control method. Application of artificial intelligence in the control of manipulation robots allows making decisions based on analyzing of large data amounts, learning from experience and adapting to the environment.","PeriodicalId":508406,"journal":{"name":"Infokommunikacionnye tehnologii","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141806089","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 : 2024-07-24DOI: 10.18469/ikt.2023.21.4.08
The article discusses specific features of constructing modems for minimum frequency shift keying signals using various schemes with high noise immunity levels. An analysis of the formation of these signals and frequency modulation signals, which are orthogonal if enhanced, is provided, including quantitative indicators and comparative characteristics. Two schemes of minimum frequency shift keying signal demodulators (coherent and autocorrelation) are examined, including their comparative features. Operation principles of these demodulator circuits with the use of timing diagrams are described, requirements for the reference oscillator generators included in coherent demodulators are formulated, as well as the requirements for minimum frequency shift keying signals, which ensure the greatest noise immunity in autocorrelation demodulators of minimum frequency shift keying signals with binary signals quantization.
{"title":"STRUCTURE FEATURES OF MINIMUM FREQUENCY SHIFT KEYING SIGNAL MODEMS","authors":"","doi":"10.18469/ikt.2023.21.4.08","DOIUrl":"https://doi.org/10.18469/ikt.2023.21.4.08","url":null,"abstract":"The article discusses specific features of constructing modems for minimum frequency shift keying signals using various schemes with high noise immunity levels. An analysis of the formation of these signals and frequency modulation signals, which are orthogonal if enhanced, is provided, including quantitative indicators and comparative characteristics. Two schemes of minimum frequency shift keying signal demodulators (coherent and autocorrelation) are examined, including their comparative features. Operation principles of these demodulator circuits with the use of timing diagrams are described, requirements for the reference oscillator generators included in coherent demodulators are formulated, as well as the requirements for minimum frequency shift keying signals, which ensure the greatest noise immunity in autocorrelation demodulators of minimum frequency shift keying signals with binary signals quantization.","PeriodicalId":508406,"journal":{"name":"Infokommunikacionnye tehnologii","volume":"2 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141806587","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 : 2024-05-13DOI: 10.18469/ikt.2023.21.3.03
This article explores the possibility of using reinforcement learning to dynamically assign priorities in time-sensitive networks. The presented approach purposefully optimizes the process of managing time constraints in the network. Using reinforcement learning techniques, the system independently adjusts priorities depending on the requirements of network traffic. To achieve this goal, two configu ration schemes based on TSN standards are proposed: centralized and distributed. Having considered these schemes, we will identify their limitations necessary in meeting requirements close to real time and ensuring strict quality of service guarantees, taking into account the restrictions applied to a time-sensitive environment. The work also reveals the need to use additional equipment, a centralized controller, to reallocate priorities.
{"title":"REINFORCEMENT LEARNING METHOD FOR DYNAMIC ALLOCATION OF PRIORITIES IN TSN","authors":"","doi":"10.18469/ikt.2023.21.3.03","DOIUrl":"https://doi.org/10.18469/ikt.2023.21.3.03","url":null,"abstract":"This article explores the possibility of using reinforcement learning to dynamically assign priorities in time-sensitive networks. The presented approach purposefully optimizes the process of managing time constraints in the network. Using reinforcement learning techniques, the system independently adjusts priorities depending on the requirements of network traffic. To achieve this goal, two configu ration schemes based on TSN standards are proposed: centralized and distributed. Having considered these schemes, we will identify their limitations necessary in meeting requirements close to real time and ensuring strict quality of service guarantees, taking into account the restrictions applied to a time-sensitive environment. The work also reveals the need to use additional equipment, a centralized controller, to reallocate priorities.","PeriodicalId":508406,"journal":{"name":"Infokommunikacionnye tehnologii","volume":"99 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140984265","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 : 2024-05-13DOI: 10.18469/ikt.2023.21.3.01
The application of interval methods for queue analysis in queuing systems with group Poisson flows is considered. It is shown that, for a given load, the average value of queue sizes in systems with such flows is determined by the dispersion of the numbers of requests arriving during the processing time intervals of one request, and the specified dispersion depends linearly on the load factor. Relations are obtained that determine the dispersion of queue sizes in queuing systems with group Poisson flows. It is shown that this dispersion depends on the third central moment of the numbers of applications arriving during the time intervals of processing one application. The dispersions of the queues of two different group flows, which have the same dependencies of the average values of the queues, differ in the values of the indicated central moments.
{"title":"QUEUE DISPERSION IN QUEUE SYSTEMS WITH GROUP POISSON FLOWS","authors":"","doi":"10.18469/ikt.2023.21.3.01","DOIUrl":"https://doi.org/10.18469/ikt.2023.21.3.01","url":null,"abstract":"The application of interval methods for queue analysis in queuing systems with group Poisson flows is considered. It is shown that, for a given load, the average value of queue sizes in systems with such flows is determined by the dispersion of the numbers of requests arriving during the processing time intervals of one request, and the specified dispersion depends linearly on the load factor. Relations are obtained that determine the dispersion of queue sizes in queuing systems with group Poisson flows. It is shown that this dispersion depends on the third central moment of the numbers of applications arriving during the time intervals of processing one application. The dispersions of the queues of two different group flows, which have the same dependencies of the average values of the queues, differ in the values of the indicated central moments.","PeriodicalId":508406,"journal":{"name":"Infokommunikacionnye tehnologii","volume":"21 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140982723","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 : 2024-05-13DOI: 10.18469/ikt.2023.21.3.09
This article explores the objectives of optimal resource allocation in metro construction organizations, including improving work efficiency, reducing project duration, and minimizing costs. The primary optimization methods, such as mathematical modeling, critical path analysis, and the use of network graphs, are discussed in the context of achieving these goals. The role of project management software in providing comprehensive control over planning, resources, and execution is emphasized. Additionally, the article underscores the significance of utilizing the Python programming language and its libraries, such as Pandas, Scikit-learn, and Matplotlib, in analyzing and optimizing resource allocation in metro construction. The paper contains a case study of a software implementation of risk analysis of delivery delays in metro construction using the Python programming language and its key libraries. Pandas for data processing and analysis, NumPy for performing complex mathematical calculations, and Matplotlib for visualizing the results were used.
{"title":"SOFTWARE OPTIMIZATION OF RESOURCE ALLOCATION PROCESS IN METRO CONSTRUCTION ORGANIZATIONS: ANALYSIS OF EFFICIENCY OF EXISTING METHODS","authors":"","doi":"10.18469/ikt.2023.21.3.09","DOIUrl":"https://doi.org/10.18469/ikt.2023.21.3.09","url":null,"abstract":"This article explores the objectives of optimal resource allocation in metro construction organizations, including improving work efficiency, reducing project duration, and minimizing costs. The primary optimization methods, such as mathematical modeling, critical path analysis, and the use of network graphs, are discussed in the context of achieving these goals. The role of project management software in providing comprehensive control over planning, resources, and execution is emphasized. Additionally, the article underscores the significance of utilizing the Python programming language and its libraries, such as Pandas, Scikit-learn, and Matplotlib, in analyzing and optimizing resource allocation in metro construction. The paper contains a case study of a software implementation of risk analysis of delivery delays in metro construction using the Python programming language and its key libraries. Pandas for data processing and analysis, NumPy for performing complex mathematical calculations, and Matplotlib for visualizing the results were used.","PeriodicalId":508406,"journal":{"name":"Infokommunikacionnye tehnologii","volume":"8 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140982298","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 : 2024-05-13DOI: 10.18469/ikt.2023.21.3.08
Automation of data processing processes is an important direction in the field of information technology. The main focus of researchers is usually on training intelligent systems. One of the key aspects of this process is the selection of hyperparameters for models. This research paper analyzes a combined method for tuning hyperparameters in a classification mathematical model. The method integrates the functionalities of two well-established approaches: exhaustive search and limited search. Initially, the first approach is employed to discover a preliminary estimation of the model’s quality metric’s maximum value. Subsequently, the second approach is utilized to generate a final estimation of achievable quality and compile a list of hyperparameter value combinations that optimize the classifier’s efficiency. To verify the validity of the method, custom software was developed using the stochastic gradient descent algorithm. The results obtained from the experiment demonstrate the effectiveness of the proposed method.
{"title":"COMBINED METHOD FOR TUNING HYPERPARAMETERS OF A MATHEMATICAL MODEL","authors":"","doi":"10.18469/ikt.2023.21.3.08","DOIUrl":"https://doi.org/10.18469/ikt.2023.21.3.08","url":null,"abstract":"Automation of data processing processes is an important direction in the field of information technology. The main focus of researchers is usually on training intelligent systems. One of the key aspects of this process is the selection of hyperparameters for models. This research paper analyzes a combined method for tuning hyperparameters in a classification mathematical model. The method integrates the functionalities of two well-established approaches: exhaustive search and limited search. Initially, the first approach is employed to discover a preliminary estimation of the model’s quality metric’s maximum value. Subsequently, the second approach is utilized to generate a final estimation of achievable quality and compile a list of hyperparameter value combinations that optimize the classifier’s efficiency. To verify the validity of the method, custom software was developed using the stochastic gradient descent algorithm. The results obtained from the experiment demonstrate the effectiveness of the proposed method.","PeriodicalId":508406,"journal":{"name":"Infokommunikacionnye tehnologii","volume":"113 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140985789","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 : 2024-05-13DOI: 10.18469/ikt.2023.21.3.13
In today’s world, technology continues to play an increasingly important role in all spheres of human life. Education is no exception and keeps pace with the times. One of the more promising directions in this area is the use of machine learning methods to analyze data on graduates and predict their future employment, based on the accumulated information about students. Such information not only helps to determine the future profession, but also will allow educational institutions to co-ordinate their activities more effectively and improve the quality of education. In addition, the use of machine learning in education can lead to the creation of new, more effective teaching methods that take into account the individual characteristics of each student. The result of this work is an in-telligent system of big data processing, capable of adapting to the current state of the labor market and helping graduates in an earlier determination of their future profession. Data analysis was con-ducted on a sample of students of Tomsk State Pedagogical University of 2021-2023 academic years.
{"title":"USING MACHINE LEARNING METHODS FOR PREDICTING THE EMPLOYMENT OF GRADUATES","authors":"","doi":"10.18469/ikt.2023.21.3.13","DOIUrl":"https://doi.org/10.18469/ikt.2023.21.3.13","url":null,"abstract":"In today’s world, technology continues to play an increasingly important role in all spheres of human life. Education is no exception and keeps pace with the times. One of the more promising directions in this area is the use of machine learning methods to analyze data on graduates and predict their future employment, based on the accumulated information about students. Such information not only helps to determine the future profession, but also will allow educational institutions to co-ordinate their activities more effectively and improve the quality of education. In addition, the use of machine learning in education can lead to the creation of new, more effective teaching methods that take into account the individual characteristics of each student. The result of this work is an in-telligent system of big data processing, capable of adapting to the current state of the labor market and helping graduates in an earlier determination of their future profession. Data analysis was con-ducted on a sample of students of Tomsk State Pedagogical University of 2021-2023 academic years.","PeriodicalId":508406,"journal":{"name":"Infokommunikacionnye tehnologii","volume":"118 50","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140985597","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 : 2024-05-13DOI: 10.18469/ikt.2023.21.3.07
Currently, the development of computer vision makes it possible to solve many problems of detecting defects at various industrial facilities. One of the promising areas of application of these technologies is to identify inconsistencies in geometric parameters on cylindrical products. The purpose of this work is to review and systematize modern computer vision methods used to solve the problem of detecting defects on vertical cylindrical surfaces. The study analyzed existing approaches to the extraction of spatial characteristics of objects, including methods of stereo vision, spatial filtering and 3D reconstruction. Algorithms for identifying the main landmarks on a cylindrical surface were considered, which makes it possible to bind the coordinate system and localize areas of possible defects. Methods for estimating geometric deviations on the surface, which can act as criteria for detecting defects, have also been studied. As a result of the analysis, a classification of computer vision methods applicable to the problem of detecting defects on cylindrical objects was proposed. Promising directions for further research in the field of improving the accuracy of defect detection through a combination of various image processing algorithms have been identified.
{"title":"COMPUTER VISION TECHNOLOGIES FOR DETECTING DEFECTS IN CYLINDRICAL OBJECTS","authors":"","doi":"10.18469/ikt.2023.21.3.07","DOIUrl":"https://doi.org/10.18469/ikt.2023.21.3.07","url":null,"abstract":"Currently, the development of computer vision makes it possible to solve many problems of detecting defects at various industrial facilities. One of the promising areas of application of these technologies is to identify inconsistencies in geometric parameters on cylindrical products. The purpose of this work is to review and systematize modern computer vision methods used to solve the problem of detecting defects on vertical cylindrical surfaces. The study analyzed existing approaches to the extraction of spatial characteristics of objects, including methods of stereo vision, spatial filtering and 3D reconstruction. Algorithms for identifying the main landmarks on a cylindrical surface were considered, which makes it possible to bind the coordinate system and localize areas of possible defects. Methods for estimating geometric deviations on the surface, which can act as criteria for detecting defects, have also been studied. As a result of the analysis, a classification of computer vision methods applicable to the problem of detecting defects on cylindrical objects was proposed. Promising directions for further research in the field of improving the accuracy of defect detection through a combination of various image processing algorithms have been identified.","PeriodicalId":508406,"journal":{"name":"Infokommunikacionnye tehnologii","volume":"81 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140984510","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：