AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS最新文献_第3页

Approach to Detecting Pedestrian Movement Using the Method of Histograms of Oriented Gradients

IF 0.5

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-26 DOI: 10.3103/S0005105525700244

M. V. Bobyr, N. A. Milostnaya, N. I. Khrapova

引用次数: 0

Software Tool for Video-Production Optimization

IF 0.5

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-26 DOI: 10.3103/S0005105525700268

R. F. Davletshin, I. S. Shakhova

引用次数: 0

Development of an Expert System Based on Fuzzy Logic for Pneumonia Diagnostics

IF 0.5

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-26 DOI: 10.3103/S000510552570027X

A. I. Enikeeva, R. A. Burnashev, R. R. Farahov

引用次数: 0

Use of Rest API and WebSocket Interface Algorithms to Structure the Three-Link Level of Emergent Systems and Displaying Media Systems

IF 0.5

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-26 DOI: 10.3103/S0005105525700232

M. M. Blagirev, A. O. Kostyrenkov

引用次数: 0

Application of Computer Vision Methods to Old Tatar Text Recognition

IF 0.5

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-26 DOI: 10.3103/S0005105525700256

I. A. Valishin

引用次数: 0

Applying the Douglas–Peucker Algorithm in Online Authentication of Remote Work Tools for Specialist Training in 10.00.00 “Information Security” Integrated Group of Specialties

IF 0.5

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-26 DOI: 10.3103/S0005105525700323

A. G. Uymin, V. S. Grekov

{"title":"Applying the Douglas–Peucker Algorithm in Online Authentication of Remote Work Tools for Specialist Training in 10.00.00 “Information Security” Integrated Group of Specialties","authors":"A. G. Uymin, V. S. Grekov","doi":"10.3103/S0005105525700323","DOIUrl":"10.3103/S0005105525700323","url":null,"abstract":"With educational systems shifting to distance learning and the trend towards remote work growing, an urgent need has arisen to develop reliable biometric identification and authentication technologies to verify employees working remotely. Such technologies can provide a high degree of protection and usability, making their development and optimization extremely important. The issue is that accuracy and efficiency of mouse gesture recognition systems need to be improved without any specialized devices used and in the shortest possible time. This requires efficient preprocessing of such gestures to simplify their trajectories while preserving their key features. The Douglas–Peucker algorithm is proposed to be used for preliminary processing of mouse gesture trajectory data. This algorithm allows significantly reducing the number of points in the trajectories, simplifying them while preserving the principal shape of the gestures. The data with simplified trajectories are then used to train neural networks. The experimental part of the work showed that, when applied, the Douglas–Peucker algorithm allows for a 60% reduction in the number of points on the trajectories, increasing the gesture recognition accuracy from 70 to 82%. Such data simplification contributes to speeding up the neural networks' training process and improving their operational efficiency. The study confirmed the efficiency of using the Douglas–Peucker algorithm for preliminary data processing in mouse gesture recognition problems. The results can be applied to develop more intuitive and adaptive user interfaces. In addition, directions for further research, including optimization of the algorithm’s parameters for different types of gestures and exploring the possibility of combining it with other machine learning methods, are proposed.","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 4 supplement","pages":"S265 - S268"},"PeriodicalIF":0.5,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707157","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

Neural Network Architecture of Embodied Intelligence

IF 0.5

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-26 DOI: 10.3103/S0005105525700311

A. R. Nurutdinov

{"title":"Neural Network Architecture of Embodied Intelligence","authors":"A. R. Nurutdinov","doi":"10.3103/S0005105525700311","DOIUrl":"10.3103/S0005105525700311","url":null,"abstract":"In recent years, advances in artificial intelligence and machine learning have been driven by advances in the development of large language models (LLMs) that are based on deep neural networks. At the same time, in spite of their substantial capabilities, LLMs have fundamental limitations, such as their spontaneous unreliability in facts and judgments; commission of simple errors that are dissonant with high competence in general; credulity, manifested by a willingness to accept a user’s false claims as true; and lack of knowledge concerning events occurring after training has been completed. Probably the key reason for these limitations is that bioinspired intelligence learning takes place through an assimilation of implicit knowledge in terms of an embodied form of intelligence to solve interactive real-world physical problems. Bioinspired studies of the nervous systems of organisms suggest that the cerebellum, which coordinates movement and maintains balance in human beings, is a prime candidate for uncovering methods of realizing embodied physical intelligence. Its simple, repetitive structure and ability to control complex movements offer hope for the possibility of creating an analog to adaptive neural networks. This paper explores the bioinspired architecture of the cerebellum as a form of analog computational networks that are capable of modeling complex, real-world physical systems. For a simple example, a realization of embodied AI in the form of a multicomponent model of an octopus tentacle is presented that demonstrates the potential for creating adaptive physical systems that learn from and interact with the environment.","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 4 supplement","pages":"S241 - S264"},"PeriodicalIF":0.5,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707154","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

Experimental Study of Cognitive Function of Generating Elliptical Sentences in Planimetric Tasks

IF 0.5

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-23 DOI: 10.3103/S0005105525700190

V. A. Parkhomenko, X. A. Naidenova, T. A. Martirova, A. V. Schukin

{"title":"Experimental Study of Cognitive Function of Generating Elliptical Sentences in Planimetric Tasks","authors":"V. A. Parkhomenko, X. A. Naidenova, T. A. Martirova, A. V. Schukin","doi":"10.3103/S0005105525700190","DOIUrl":"10.3103/S0005105525700190","url":null,"abstract":"The paper is devoted to the study of the cognitive function associated with the generation of elliptical sentences in the Russian language. The study is conducted by testing this cognitive ability using a computer system specially developed by the authors for this purpose. Testing of this cognitive ability is proposed and implemented for the first time. The system is an extension of Moodle and is openly hosted in the github repository. Elliptical constructions are limited to verbal and nominal ellipses, which are theoretically possible to be completely reconstructed based on the context of the sentence. The study is conducted with the participation of SPbPU students as respondents. The texts of planimetric tasks are chosen as the subject area. As a result of the analysis of testing data, the following results are obtained: the influence of the respondent’s knowledge of the subject area (planimetry) on the test results is established; a tendency towards self-study of respondents was discovered, which is manifested in a reduction in time and an increase in scores as they pass tests; it is shown that respondents are poorly motivated if they do not see feedback on the answer to the completed task. The paper discusses the problems of further development of the testing system and its use in adapting questionnaires (tasks) to assess the knowledge of SPbPU students in the field of automation of bug detection in programs, as well as for diagnosing the functional state of operator specialists and express diagnosis of dementia. It also seems promising to use the system to improve the processes of syntactic parsing of elliptic sentences and automate the restoration of ellipses in the subject area of planimetry.","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 3 supplement","pages":"S123 - S130"},"PeriodicalIF":0.5,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143676218","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 Grading of Students’ Short Answers Using Language Models 利用语言模型对学生的简答题进行自动评分

IF 0.5

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-23 DOI: 10.3103/S0005105525700177

Ch. B. Minnegalieva, I. I. Kashapov, O. D. Morozova

引用次数: 0

Subjective Notes on Search Engines

IF 0.5

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-23 DOI: 10.3103/S0005105525700086

Y. E. Polak

引用次数: 0