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Application of Synthetic Data to the Problem of Anomaly Detection in the Field of Information Security 合成数据在信息安全领域异常检测问题中的应用
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-23 DOI: 10.3103/S0005105525700128
A. I. Gurianov
{"title":"Application of Synthetic Data to the Problem of Anomaly Detection in the Field of Information Security","authors":"A. I. Gurianov","doi":"10.3103/S0005105525700128","DOIUrl":"10.3103/S0005105525700128","url":null,"abstract":"<div><p>Synthetic data are highly relevant for machine learning. Modern algorithms to generate synthetic data make it possible to generate data that are very similar in their statistical properties to the original data. Synthetic data is used in practice in a wide range of tasks, including those related to data augmentation. The author of the article proposes a method of data augmentation combining the approaches of increasing the sample size using synthetic data and synthetic anomaly generation. This method has been used to address the information security problem of anomaly detection in server logs to detect attacks. The model trained for the task presents high results. This demonstrates the effectiveness of the use of synthetic data to increase sample size and generate anomalies, as well as the ability to use these approaches together with high efficiency.</p></div>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 2 supplement","pages":"S68 - S72"},"PeriodicalIF":0.5,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143676536","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}
引用次数: 0
Design and Development of a Training Blockchain Simulator
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-23 DOI: 10.3103/S0005105525700165
O. M. Mekhovnikov, A. S. Toschev
{"title":"Design and Development of a Training Blockchain Simulator","authors":"O. M. Mekhovnikov,&nbsp;A. S. Toschev","doi":"10.3103/S0005105525700165","DOIUrl":"10.3103/S0005105525700165","url":null,"abstract":"<p>This article presents an educational blockchain simulator that is intended to train students and beginning blockchain developers. This simulator was created to provide users with an intuitive and accessible tool for learning the basic concepts and mechanisms of blockchain functioning. The article discusses the main aspects of the design and architecture of the simulator and provides a demonstration of the application. In addition, the possibilities for further development of the simulator and its potential as a teaching tool for research in the field of blockchain technologies are discussed. The resulting simulator contributes to the field of education and science, helping increase the level of competence of specialists and the development of innovative solutions in blockchain.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 3 supplement","pages":"S102 - S108"},"PeriodicalIF":0.5,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143676499","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}
引用次数: 0
Analyzing Machine Learning Models Based on Explainable Artificial Intelligence Methods in Educational Analytics 在教育分析中分析基于可解释人工智能方法的机器学习模型
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-23 DOI: 10.3103/S0005105525700189
D. A. Minullin, F. M. Gafarov
{"title":"Analyzing Machine Learning Models Based on Explainable Artificial Intelligence Methods in Educational Analytics","authors":"D. A. Minullin,&nbsp;F. M. Gafarov","doi":"10.3103/S0005105525700189","DOIUrl":"10.3103/S0005105525700189","url":null,"abstract":"<p>The problem of predicting early dropout of students of Russian universities is urgent and requires the development of new innovative approaches to address it. To do so, it is possible to develop predictive systems based on the use of student data that are available in the information systems of universities. This paper investigates machine learning models for the prediction of early student dropout, trained on the basis of student characteristics and performance data. The main scientific novelty of this work lies in the use of explainable artificial intelligence (AI) methods to interpret and explain the performance of the trained machine learning models. Explainable AI methods allow us to understand which of the input features (student characteristics) have the greatest influence on the results of the machine learning models and can also help understand why models make certain decisions. The findings expand the understanding of the influence of various factors on early dropout of students.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 3 supplement","pages":"S115 - S122"},"PeriodicalIF":0.5,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143676217","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}
引用次数: 0
Automatic Replenishment of Metadata of Digital Publications Using the Semantic Services of the Internet 利用互联网语义服务自动补充数字出版物元数据
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-23 DOI: 10.3103/S0005105525700116
P. O. Gafurova
{"title":"Automatic Replenishment of Metadata of Digital Publications Using the Semantic Services of the Internet","authors":"P. O. Gafurova","doi":"10.3103/S0005105525700116","DOIUrl":"10.3103/S0005105525700116","url":null,"abstract":"<p>This article describes approaches to replenishing the metadata of documents in electronic collections of a digital mathematical library. An open resource of the semantic network is used as a replenishment. For this purpose, software tools have been developed to search for the necessary data and include them in a metadata set. A separate block of metadata in a scientific article is formed from the affiliation of the authors presented in the document. Typically, ownership in a document does not contain sufficient data to generate a set of metadata. A method has been developed for providing author affiliation metadata, providing an open research organization registry (ROR), as well as means for making connections between ROR and other semantic chains. This method was applied to the collections of articles of the journal <i>Elektronnye Biblioteki</i> (Digital Libraries) for 2021–2022. The article describes a method for connecting the Lobachevsky digital mathematical library-DML to new electronic collections and describes a method for transforming metadata into a digital format that would be available for downloading.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 2 supplement","pages":"S59 - S67"},"PeriodicalIF":0.5,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143676538","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}
引用次数: 0
Stochastic Analysis of Ocean–Atmosphere Heat Fluxes in the North Atlantic
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-23 DOI: 10.3103/S0005105525700104
N. P. Tuchkova, K. P. Belyaev, G. M. Mikhaylov
{"title":"Stochastic Analysis of Ocean–Atmosphere Heat Fluxes in the North Atlantic","authors":"N. P. Tuchkova,&nbsp;K. P. Belyaev,&nbsp;G. M. Mikhaylov","doi":"10.3103/S0005105525700104","DOIUrl":"10.3103/S0005105525700104","url":null,"abstract":"<p>Observational data on the North Atlantic obtained over the 40 years of the NAAD project were analyzed. The total heat flux from the ocean to the atmosphere (and from the atmosphere to the ocean) was considered as a sum of latent and sensible heat. The coefficients of the stochastic differential equation representing the stochastic process were statistically determined from the original data set. Previously, the existence and uniqueness of a solution in the strong sense of the stochastic differential equation that is generated by the constructed diffusion process was proven when Kolmogorov’s conditions were met. Numerical calculations were conducted on the Lomonosov-2 supercomputer at the Lomonosov Moscow State University.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 1 supplement","pages":"S51 - S57"},"PeriodicalIF":0.5,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143676532","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}
引用次数: 0
List of the Higher Attestation Commission: User Interface in the RSJ Database and Elibrary.Ru
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-23 DOI: 10.3103/S0005105525700074
T. A. Polilova
{"title":"List of the Higher Attestation Commission: User Interface in the RSJ Database and Elibrary.Ru","authors":"T. A. Polilova","doi":"10.3103/S0005105525700074","DOIUrl":"10.3103/S0005105525700074","url":null,"abstract":"<p>The list of peer-reviewed scientific journals of the Higher Attestation Commission is gradually becoming a complex information system that is based on the normative documents of the Higher Attestation Commission, bibliometric data eLibrary.ru, and decisions of the expert councils of the Higher Attestation Commission and working groups engaged in the analysis, ranking and categorization of the journals of the list. The database of Russian Scientific Journals (RSJ) created by RIEPL may come to serve the requests of different categories of users in relation to the topic of dissertation defense. So far, the RSJ has implemented the interface of a representative of the journal’s editorial board and the interface of a member of the expert council of the Higher Attestation Commission. It is desirable to include in the RSJ an open interface that is addressed to the degree applicant to verify compliance with the requirements of the Higher Attestation Commission for publications in journals from the List. With the established mutual exchange of data between RSJ and eLibrary.ru, the applicant’s interface with the designated functionality can be organized in the eLibrary.ru user environment.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 1 supplement","pages":"S17 - S26"},"PeriodicalIF":0.5,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143676257","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}
引用次数: 0
Virtual Exhibition as a Means of Integrating into a Unified Digital Space of Scientific Knowledge the Information Systems in the Field of Science and Culture 虚拟展览是将科学和文化领域的信息系统纳入统一的科学知识数字空间的一种手段
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-23 DOI: 10.3103/S0005105525700098
I. N. Sobolevskaya, A. N. Sotnikov
{"title":"Virtual Exhibition as a Means of Integrating into a Unified Digital Space of Scientific Knowledge the Information Systems in the Field of Science and Culture","authors":"I. N. Sobolevskaya,&nbsp;A. N. Sotnikov","doi":"10.3103/S0005105525700098","DOIUrl":"10.3103/S0005105525700098","url":null,"abstract":"<p>The study examines the principle of creating virtual exhibitions as a means of integration into the Common Digital Space of Scientific Knowledge the information systems in the field of science and culture with the aim of promoting science, ensuring access to information in various scientific fields and drawing attention to current issues and achievements in the scientific sphere. The main methods of creating virtual exhibitions are formulated, including content selection and segmentation into main sections. In addition, a classification of virtual exhibitions into autonomous, remote, and combined is proposed. Special attention is paid to the methodology of creating virtual exhibition at the Moscow Center of the Russian Academy of Sciences. Using the example of an interdepartmental combined virtual exhibition, a detailed description of the “Madame Penicillin” exhibition dedicated to the creator of penicillin, Z.V. Ermol’eva, is provided.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 1 supplement","pages":"S43 - S50"},"PeriodicalIF":0.5,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143676534","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}
引用次数: 0
Descriptions of Some Boundary-Value Problems in the Semantic Library LibMeta
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-23 DOI: 10.3103/S0005105525700050
O. M. Ataeva, V. A. Serebryakov, N. P. Tuchkova
{"title":"Descriptions of Some Boundary-Value Problems in the Semantic Library LibMeta","authors":"O. M. Ataeva,&nbsp;V. A. Serebryakov,&nbsp;N. P. Tuchkova","doi":"10.3103/S0005105525700050","DOIUrl":"10.3103/S0005105525700050","url":null,"abstract":"<p>An ontological approach to design approach was used to describe the semantics of some boundary value problems in the LibMeta digital library. To describe problems in the LibMeta library, connections of terms and concepts with classical definitions from the mathematical encyclopedia and other primary sources are established. Establishing links allows a dictionary and thesaurus to be formed for the applied subject area of new boundary value problems, placing the results in the semantic environment of the digital library. Examples of this approach are seen in terms of the capabilities of LibMeta semantic library, which contains a digitized version of the mathematical encyclopedia, encyclopedia of mathematical physics, classifiers, and applied mathematical thesauri and dictionaries. New terms, drawn from publications, after they are added to the content of the library, are reflected in links in the mathematical encyclopedia. A thesaurus for problems in domain of elasticity theory was created by integrating subject dictionaries, classifiers, metadata of specialized journal publications, and the encyclopedic content of the LibMeta library. The purpose of this research is to provide the user with additional services in the search for publications in the applied scientific field.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 1 supplement","pages":"S1 - S9"},"PeriodicalIF":0.5,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143676256","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}
引用次数: 0
Image Classification Using Convolutional Neural Networks
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-23 DOI: 10.3103/S0005105525700219
S. A. Filippov
{"title":"Image Classification Using Convolutional Neural Networks","authors":"S. A. Filippov","doi":"10.3103/S0005105525700219","DOIUrl":"10.3103/S0005105525700219","url":null,"abstract":"<p>At present, many different tools can be used to classify images, each of which is intended to solve tasks in a certain range. This article provides a brief overview of libraries and technologies with respect to image classification. The architecture of a simple convolutional neural network for image classification is built. Experiments on image recognition have been conducted with popular neural networks such as VGG 16 and ResNet 50. Both neural networks have shown good results. However, ResNet 50 overfitted due to the fact that the dataset contained the same type of images for training, as this neural network has more layers that allow reading the attributes of objects in the images. A comparative analysis of image recognition that was particularly prepared for this experiment was carried out using the trained models.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 3 supplement","pages":"S143 - S149"},"PeriodicalIF":0.5,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143676497","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}
引用次数: 0
Dependence of the First Frequency of Natural Vibrations of a Beam Truss with a Triangular Lattice on the Number of Panels 三角形网格梁桁架自然振动的第一频率与面板数量的关系
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-23 DOI: 10.3103/S000510552570013X
M. N. Kirsanov, A. I. Munitsyn
{"title":"Dependence of the First Frequency of Natural Vibrations of a Beam Truss with a Triangular Lattice on the Number of Panels","authors":"M. N. Kirsanov,&nbsp;A. I. Munitsyn","doi":"10.3103/S000510552570013X","DOIUrl":"10.3103/S000510552570013X","url":null,"abstract":"<p>An algorithm is given for deriving the analytical dependence of the smallest natural frequency of oscillations of a plane of a statically determinate regular truss on the number of panels. The Dunkerley method and the simplified version Dunkerley method are used. It is shown that the simplified version gives not only a simpler, but also a more accurate formula. It is assumed that the mass of the truss is concentrated on its nodes, and the number of degrees of freedom of the structure coincides with the number of the nodes. For analytical transformations and to solve recurrent equations, the computer mathematics system Maple was used. Truss stiffness is calculated using the Maxwell–Mohr formula.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 2 supplement","pages":"S73 - S78"},"PeriodicalIF":0.5,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143676535","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}
引用次数: 0
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