AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS最新文献

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Use of Digital Threads and Digital Twin Systems in Socio-Cyber-Physical Systems
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-02-17 DOI: 10.3103/S0005105524700377
A. I. Vodyaho, N. A. Zhukova, V. Ya. Ananeva
{"title":"Use of Digital Threads and Digital Twin Systems in Socio-Cyber-Physical Systems","authors":"A. I. Vodyaho,&nbsp;N. A. Zhukova,&nbsp;V. Ya. Ananeva","doi":"10.3103/S0005105524700377","DOIUrl":"10.3103/S0005105524700377","url":null,"abstract":"<p><b>Abstract</b>—The issues of building socio-cyber-physical systems and the use of digital counterparts in them are considered. A mechanism for continuous dynamic rebuilding of digital twins for various stages of the life cycle of systems is proposed. This mechanism provides the transformation of the models that digital twins are based on, which can be performed not only during the transition between different stages of the system life cycle but also within a single stage. As an example, the transformation of the human competence model is shown.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 6","pages":"431 - 440"},"PeriodicalIF":0.5,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430908","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
Comparison of Approaches to the Extraction of Mathematical Methods from Scientific Texts
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-02-17 DOI: 10.3103/S0005105524700328
Z. S. Ismagulov, D. V. Kosyakov, A. E. Guskov
{"title":"Comparison of Approaches to the Extraction of Mathematical Methods from Scientific Texts","authors":"Z. S. Ismagulov,&nbsp;D. V. Kosyakov,&nbsp;A. E. Guskov","doi":"10.3103/S0005105524700328","DOIUrl":"10.3103/S0005105524700328","url":null,"abstract":"<p>The processes of extracting and comparing mathematical methods from scientific publications using different approaches—large language models, machine learning based classification method, and probabilistic topic modelling—are discussed. The superiority of the model obtained with probabilistic topic modelling when studying each article separately and of the large language model when studying whole projects is revealed, as well as the significant superiority of combining the results of these two approaches.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 6","pages":"441 - 452"},"PeriodicalIF":0.5,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430775","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
Study of Thematic and Terminological Transformation of Collections of Scientific Articles in Interdisciplinary Fields of Knowledge
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-02-17 DOI: 10.3103/S0005105524700390
O. V. Fedorets, N. S. Soloshenko
{"title":"Study of Thematic and Terminological Transformation of Collections of Scientific Articles in Interdisciplinary Fields of Knowledge","authors":"O. V. Fedorets,&nbsp;N. S. Soloshenko","doi":"10.3103/S0005105524700390","DOIUrl":"10.3103/S0005105524700390","url":null,"abstract":"<p>This paper presents the methodology of the quantitative study of the dynamics of changes in the thematic structure of collections and vocabulary of terms that were aimed at selecting documents into thematic collections, creating thematic (classification and subject) profiles of these collections in different chronological periods and a comparative analysis of these profiles. The profiles are treated as descriptive sets, with TF-IDF used as the keyword weight. The methodology is tested in two collections, “Robotics and Robotic Systems” and “Intelligent Systems, Artificial Intelligence, and Machine Learning.”</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 6","pages":"420 - 430"},"PeriodicalIF":0.5,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430718","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
Automated Solution of Qualitative Image Analysis Problem Based on Laplace Variation for Mobile Application Development
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-02-17 DOI: 10.3103/S000510552470033X
N. A. Mamedova, A. S. Bortsov
{"title":"Automated Solution of Qualitative Image Analysis Problem Based on Laplace Variation for Mobile Application Development","authors":"N. A. Mamedova,&nbsp;A. S. Bortsov","doi":"10.3103/S000510552470033X","DOIUrl":"10.3103/S000510552470033X","url":null,"abstract":"<p>This article considers software for automated image analysis that must work from the operator’s mobile device, automatically perform high-quality image analysis for clarity, offer recommendations based on the output results, save images on the device in a report, determine the network signal level, send a report to the server, and delete it. The applied specificity of the problem being solved consists in the analysis of images that captured data from control panels, consoles, lifting sensors, and transport vehicles involved in logistics processes on the territory of a multimodal transport and logistics center. Automation is provided by the operation of a mathematical model based on the Laplace variation for analyzing image clarity with sufficient detail and microcontrast of captured objects. All of the steps in development are described, and the rationale for choosing the mathematical apparatus and technology stack is given. This approach ensures the validity of the process and the research results.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 6","pages":"401 - 414"},"PeriodicalIF":0.5,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430863","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
Frame Information and Mathematical Modeling of Knowledge Bases
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-02-17 DOI: 10.3103/S0005105524700341
N. I. Sidnyaev, E. E. Sineva
{"title":"Frame Information and Mathematical Modeling of Knowledge Bases","authors":"N. I. Sidnyaev,&nbsp;E. E. Sineva","doi":"10.3103/S0005105524700341","DOIUrl":"10.3103/S0005105524700341","url":null,"abstract":"<p>This article considers the frame as a model of representing knowledge in intelligent systems that allows knowledge hierarchy to be organized. It is shown that intelligent systems with knowledge bases can solve tasks that are both unknown and known to them in conditions of uncertainty and incomplete information. Frames extend the potential of intellectual systems and, like object-oriented systems, provide a mechanism of such organization, representing entities as structured objects with named cells and values associated with them. The issues of frame semantics, decision making, and peculiarities of functioning of intelligent systems using frames are discussed.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 6","pages":"375 - 392"},"PeriodicalIF":0.5,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430910","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
Method for Assessing the Repeatability of ChatGPT Machine Translation Results
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-02-17 DOI: 10.3103/S0005105524700365
A. Yu. Egorova, I. M. Zatsman, V. O. Romanenko
{"title":"Method for Assessing the Repeatability of ChatGPT Machine Translation Results","authors":"A. Yu. Egorova,&nbsp;I. M. Zatsman,&nbsp;V. O. Romanenko","doi":"10.3103/S0005105524700365","DOIUrl":"10.3103/S0005105524700365","url":null,"abstract":"<p>The article considers the repeatability of ChatGPT results over time intervals as a machine translator from Russian into English, using a method for the quantitative assessment of the weighting of each category describing the trajectory of translations of the same phrases over time. The experiment is described on a corpus of 50 phrases in Russian, translated into English weekly for 12 weeks. As a result, an array of 600 phrase pairs has been obtained each containing a phrase in Russian and its English translation. For each of the 50 source phrases and the corresponding 12 translations, a series of 12 annotations has been generated, including headings for classifying translation errors or a note about their absence. All of the translation series have been divided into six categories depending on the series trajectory: quality deterioration over the interval, quality improvement, quality variation, change in the set of errors without translation quality dynamics, translation change without translation quality dynamics, and translation series without change.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 6","pages":"453 - 460"},"PeriodicalIF":0.5,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430776","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
Multimodal Data Textual Description Generation Model
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-02-17 DOI: 10.3103/S0005105524700353
N. A. Chiniakov
{"title":"Multimodal Data Textual Description Generation Model","authors":"N. A. Chiniakov","doi":"10.3103/S0005105524700353","DOIUrl":"10.3103/S0005105524700353","url":null,"abstract":"<p>Object detection is actively used to search for the objects of predefined classes in an image. Object detection is actively used to search for objects of predetermined classes in an image. The model developed by the author finds arbitrary entities in a picture, not limited to predetermined classes, and generates text describing these entities.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 6","pages":"415 - 419"},"PeriodicalIF":0.5,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430865","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
Algebraic Specification of Plausible Reasoning 可信推理的代数规范
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2024-12-16 DOI: 10.3103/S0005105524700286
E. A. Efimova
{"title":"Algebraic Specification of Plausible Reasoning","authors":"E. A. Efimova","doi":"10.3103/S0005105524700286","DOIUrl":"10.3103/S0005105524700286","url":null,"abstract":"<p>An algebraic point of view on the description of abstract data types is applied to JSM reasoning: names of sorts and types of algebraic operations are presented together with equations that can determine their meaning. These equations form a convergent system of term rewriting. The Wolfram language is used for the equation definitions. The algebraic specification could be used both to create an ontology and to program an implementation of plausible reasoning.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 5","pages":"364 - 374"},"PeriodicalIF":0.5,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142826441","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
Fuzzy Min-Max Classifier in Cybersecurity Applications 模糊最小-最大分类器在网络安全中的应用
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2024-12-16 DOI: 10.3103/S0005105524700250
K. S. Sarin, R. E. Kolomnikov, M. O. Svetlakov, I. A. Hodashinsky
{"title":"Fuzzy Min-Max Classifier in Cybersecurity Applications","authors":"K. S. Sarin,&nbsp;R. E. Kolomnikov,&nbsp;M. O. Svetlakov,&nbsp;I. A. Hodashinsky","doi":"10.3103/S0005105524700250","DOIUrl":"10.3103/S0005105524700250","url":null,"abstract":"<p>A modified fuzzy min-max classifier is presented that differs from the original in the way that the hyperbox expansion operation is performed. The classifier has been tested on the solution of cybersecurity problems, such as detecting spam, phishing sites and attacks on network connections. The results of experiments results showed an improvement in the accuracy relative to the original fuzzy min-max classifier. Comparisons with six alternative incremental learning classifiers showed competitive results on the false acceptance rate, the false reject rate, and the F1-score values.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 5","pages":"299 - 309"},"PeriodicalIF":0.5,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142826277","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
Assessment of the Socio-Economic State of a Region Based on the Haken Model 基于哈肯模型的地区社会经济状况评估
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2024-12-16 DOI: 10.3103/S0005105524700274
T. I. Buldakova, J. A. Vishnevskaya, A. Sh. Dzhalolov, S. I. Suyatinov
{"title":"Assessment of the Socio-Economic State of a Region Based on the Haken Model","authors":"T. I. Buldakova,&nbsp;J. A. Vishnevskaya,&nbsp;A. Sh. Dzhalolov,&nbsp;S. I. Suyatinov","doi":"10.3103/S0005105524700274","DOIUrl":"10.3103/S0005105524700274","url":null,"abstract":"<p>Using the synergetic model proposed by G. Haken, the problem of assessing the socio-economic state of the region from a lot of unstructured data is considered. The intelligent model implemented allows us to assess the state of the region based on a set of data characterizing its economic, financial, social, and technological processes. Reference feature vectors are proposed to represent four different states. Examples of using the developed model to assess the current state of regions are given.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 5","pages":"351 - 358"},"PeriodicalIF":0.5,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142826440","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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