Informacionnye Tehnologii最新文献

{"title":"The Method for Implementing Test Constructors Using the Lualatex Publishing System","authors":"Y. Polishuk, Ya. V. Goncharova","doi":"10.17587/it.30.50-55","DOIUrl":"https://doi.org/10.17587/it.30.50-55","url":null,"abstract":"One of the key factors of successful learning is the control of mastering the material that has been passed, which can be implemented, including by performing control test tasks. The work is devoted to the use of the desktop publishing system LuaLaTeX to automate the process of forming test control papers. The control generated with its help includes a set number of randomly selected test tasks on the specified topics, followed by mixing both the questions themselves and their answer options. Each generated control work is personalized, i.e. generated directly for a specific student, and is a control work in the form of a PDF-document. To achieve the goal of the work, the capabilities of the LuaLaTeX publishing system are used, which include: the Lua scripting language, which is used to form a pool of control work tasks and personalize it; the TeX language is used to design the content of the control work being formed; the capabilities of the PDF format, including the JavaScript programming language, implement automated verification of control work, demonstration of correct answers to questions, preservation of the test result and provide additional security, which consists in the use of hashes instead of correct answers to tasks and a password. As a practical significance of the proposed solution, we can note an increase in the efficiency of the process of controlling the development of the material passed by students by minimizing the speed of preparation of test control works and their verification, as well as the use of a minimum software tools for its implementation.","PeriodicalId":504905,"journal":{"name":"Informacionnye Tehnologii","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139612440","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}

{"title":"Simulation Modeling of QS with Hyper-Erlang and Erlang Distributions","authors":"V. Tarasov, N. Bakhareva","doi":"10.17587/it.30.3-12","DOIUrl":"https://doi.org/10.17587/it.30.3-12","url":null,"abstract":"The article is devoted to the construction of simulation models of customer delay in the queue in the form of a queuing system (QS) described by both ordinary and right-shifted hyper-Erlang and second-order Erlang distributions. This article is a logical continuation of previous works devoted to the construction of numerical-analytical QS models with shifted distribution laws. In the article, the Erlang distribution is considered as a special case of the more general Gamma distribution law, in contrast to the normalized Erlang distribution. These two forms of the Erlang distribution differ in numerical characteristics, except for the coefficient of variation. To solve the problem, the system of discrete-event modeling GPSS WORLD was used.","PeriodicalId":504905,"journal":{"name":"Informacionnye Tehnologii","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139613063","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}

{"title":"A Model of an Automated Electronic Document Management System Operating under Conditions of Probable Compromise of Signature Keys, Based on a Hierarchical Decomposition of Trusted Storage Environments","authors":"N. N. Kramskoi, A. O. Roniashkevich, D. Tali, O. A. Finko","doi":"10.17587/it.30.13-22","DOIUrl":"https://doi.org/10.17587/it.30.13-22","url":null,"abstract":"The results of an analysis of the functioning of the electronic document management system in the context of the development of methods and means of cryptanalysis and an avalanche increase in the number of processed documents are presented. A conceptual model and method for decomposing the storage subsystem into contours of operational and long-term storage of electronic documents are proposed. A mathematical model of hierarchical control of the integrity of electronic documents is presented, which takes into account the integrative properties of electronic documents, as well as requirements for storage periods and information security. The methodology and results of assessing the advantages of the developed technical solution based on the logical-probabilistic method are presented.","PeriodicalId":504905,"journal":{"name":"Informacionnye Tehnologii","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139613395","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}

{"title":"Method of Localization of Spatiotemporal Patterns on the Time Sequence of Biomedical Images","authors":"I. Shcherban, V. S. Fedotova, N. E. Kirilenko, A. Matukhno, O. Shcherban, L. V. Lysenko","doi":"10.17587/it.30.42-49","DOIUrl":"https://doi.org/10.17587/it.30.42-49","url":null,"abstract":"A method has been developed for localizing spatiotemporal patterns observed in sequentially recorded biomedical images of laser scanning microscopy and reflecting the dynamics of the biological structures under study. By means of interpolation by radial basis functions of each individual image, a compact mathematical model of the space-time dynamics of the brightness function on a sequence of images is obtained. The subsequent localization of the structures of the sought-for dynamic patterns is carried out by means of the mathematical apparatus of singular spectral analysis. The results of experiments on optical visualization of the activity patterns of the olfactory bulb of a macrosmatic (rat) confirmed the efficiency of the developed method for localizing the reaction to biomarkers of human oncological diseases.","PeriodicalId":504905,"journal":{"name":"Informacionnye Tehnologii","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139613379","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}

{"title":"A Technique for Creating and Training an Artificial Neural Network to Detect Network Traffic Anomalies","authors":"S. O. Ivanov","doi":"10.17587/it.30.32-41","DOIUrl":"https://doi.org/10.17587/it.30.32-41","url":null,"abstract":"The article presents a technique for creating and training an artificial neural network to recognize network traffic anomalies using relatively small samples of collected data to generate training data. Various data sources for machine learning and approaches to network traffic analysis are considered. There are data format and the method of generating them from the collected network traffic is described, as well as the steps of the methodology in detail. Using the technique, an artificial neural network was created and trained for the task of recognizing anomalies in the network traffic of the ICMP protocol. The results of testing and comparing various artificial neural network configurations and learning conditions for a given task are presented. The artificial neural network trained according to the method was tested on real network traffic. The presented technique can be applied without requiring changes to detect anomalies of various network protocols and network traffic using a suitable parameterizer and data markup.","PeriodicalId":504905,"journal":{"name":"Informacionnye Tehnologii","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139524994","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}

{"title":"A Mathematical Model for Assessing the Stability of the Functioning of an Element of the Information Infrastructure of an Automated Control System Exposed to Threats to Information Security","authors":"V. A. Voevodin","doi":"10.17587/it.30.23-31","DOIUrl":"https://doi.org/10.17587/it.30.23-31","url":null,"abstract":"The problem of assessing the stability of an element of the information infrastructure of the automated control system to single impacts of threats to information security is considered. For the solution, it is proposed to reduce the problem of stability estimation to the problem of constructing the survivability function of the element under study and determining its extreme values. Functional analysis methods were used to solve the problem. The problem is solved subject to the adoption of exponential laws of distribution of random moments of exposure time and moments of recovery time of the element's function. Recommendations are given on the formation of initial data for modeling, the results of test modeling in the form of graphs of the survivability function. A computational experiment with a mathematical model was carried out, aimed at investigating the effectiveness of the proposed model. A mathematical model can be used to construct a survivability function with a single impact and restore the functionality of an element exposed to threats. The novelty of the result lies in the concretization of general and particular mathematical models designed to assess the stability of functioning under conditions of repeated exposure to threats, which makes it possible to significantly simplify the model with acceptable reliability of the result obtained.","PeriodicalId":504905,"journal":{"name":"Informacionnye Tehnologii","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139611866","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}

{"title":"Estimating the Cardinality of Queries Based on a Sample from a Full Outer Join of Tables","authors":"U. A. Grigorev","doi":"10.17587/it.29.650-663","DOIUrl":"https://doi.org/10.17587/it.29.650-663","url":null,"abstract":"Cardinality estimation (CardEst) plays an important role in creating high-quality query execution plans in the DBMS. In the last decade, a large number of methods have been developed: traditional methods (histograms, samples), machine learning methods based on queries or data. But all of them are based on different restrictions and assumptions, and the cardinality estimation with their help worsens with an increase in the number of joined tables. The article proposes two new methods based on the theory of approximate calculation of aggregates and allowing to remove most of the restrictions. Method 1 fetches blocks after executing the subqueries of the original query and does not require a preliminary analysis of the filter conditions. The condition for joining tables can be arbitrary (not necessarily the equality of attributes). Method 2 allows you to calculate the probabilities of reading blocks based on the metadata accumulated in the process of populating the database. Metadata takes up little memory, and the overhead of maintaining it is low. Method 2, in contrast to method 1, takes into account the true cardinality of the connection of neighboring blocks in the sample obtained from metadata. Therefore, the prospect opens up for a more accurate assessment of the cardinality of joining a large number of tables. Method 1 (EVACAR method) is implemented and compared with modern machine learning methods BayesCard, DeepDB, FLAT on a special STATS test. The results of the experiments confirmed the effectiveness of the EVACAR method. The EVACAR method is more accurate or its maximum q-error is comparable to machine learning methods for 75-88 % of evaluated queries (subplans). In the future, it is planned to implement the 2nd method for assessing the cardinality of queries.","PeriodicalId":504905,"journal":{"name":"Informacionnye Tehnologii","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139168603","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}

{"title":"Neural Network Multipath Routing in Software Defined Networks Based on Genetic Algorithm","authors":"D. A. Perepelkin, M. Ivanchikova, V. T. Nguyen","doi":"10.17587/it.29.622-629","DOIUrl":"https://doi.org/10.17587/it.29.622-629","url":null,"abstract":"Currently, a wide demand for the implementation and use of various cloud solutions is a modern trend and the driving force behind the development of network technologies. The growth of cloud application services delivered through data centers with varying network traffic needs demonstrates the limitations of traditional routing and load balancing methods. The combination of the advantages of software defined networks (SDN) technology and artificial intelligence (AI) methods ensures efficient management and operation of computer network resources. The paper proposes an approach to neural network multipath routing in SDN based on a genetic algorithm. The architecture and model of an artificial neural network has been developed to solve the problem of multipath routing in the SDN, which is able to predict the shortest paths based on the metrics of communication links. To optimize the hyperparameters of the neural network model, it is proposed to use a modified genetic algorithm. A visual software system SDNLoadBalancer has been developed and an experimental SDN topology has been designed, which makes it possible to study in detail the processes of neural network multipath routing in SDN based on the proposed approach. The obtained results show that the proposed neural network model has the ability to predict routes with high accuracy in real time, which makes it possible to implement various load balancing schemes in order to increase performance of SDN.","PeriodicalId":504905,"journal":{"name":"Informacionnye Tehnologii","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139169582","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}

{"title":"Algorithm for Recognizing an Underwater Pipeline from Stereo Images","authors":"V. Bobkov, M. A. Morozov, A. Shupikova","doi":"10.17587/it.29.639-649","DOIUrl":"https://doi.org/10.17587/it.29.639-649","url":null,"abstract":"The problem of recognition of an underwater pipeline (UP) from stereo images using an autonomous underwater robot (AUV) is considered in relation to the initial position of tracking the UP, or to situations where the previous section of the UP is hidden by interference (submerged in the ground, hidden by algae, etc.). The final result of the identification of the UP section, visible by the stereo camera, is the calculation of its center line and the detection of the relative position of the AUV and UP in the camera coordinate system. The article proposes a recognition method based on the selection of visible UP boundaries (contours) on vectorized images of a stereopair. At the stage of vectorization, noise is eliminated, illumination is equalized, and the image is processed using the Canny method to obtain a binary image. The construction of UP contours is performed using the algorithm proposed by the authors, which is a modification of the Hough method. The main feature of the proposed algorithm is a relatively high performance due to a multiple reduction in the amount of information being processed. Reducing the volume of processed data is done by pre-sorting the line segments in the vectorized image, and by optimizing the computational scheme in the algorithm. The experiments also showed that the algorithm can detect the visible boundaries of the UP on blurry, non-contrasting images. The algorithmic basis of the method is described in detail, including: — search and construction of the most reliable UP boundaries using the method of the integral contribution of the line segments to the line formation; generation and selection of point features belonging to the surface of the UP (due to the constructed contours); calculation of the 3D direction of the center line; calculation of the center line of the visible section of UP; —calculation of the AUV position parameters relative to the UP required for the AUV control system. The centerline calculation is performed using the least squares method using point features belonging to the surface of the UP. The performed computational experiments on virtual scenes using the real texture of the seabed confirm the operability of the implemented approach and the possibility of its application for the inspection of underwater infrastructure.","PeriodicalId":504905,"journal":{"name":"Informacionnye Tehnologii","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139170223","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}

{"title":"Experience in Integrating Regional Research and Education Networks to the National Research Computer Network of Russia on the Example of the ROKSON Network","authors":"A. Abramov, A. Gonchar, A. V. Evseev, B. M. Shabanov","doi":"10.17587/it.29.615-621","DOIUrl":"https://doi.org/10.17587/it.29.615-621","url":null,"abstract":"The paper is devoted to the issues of organizing the interaction of the new generation National Research Computer Network (NIKS) with individual Russian regional research and education telecommunications networks in the course of the development of NIKS within the framework of the national project \"Science and Universities\". A brief excursion into the history of the creation and development of academic networks within the territory of St. Petersburg is given. The main attention is paid to the organizational, methodological and technical aspects of the implementation of activities for the integration of the Regional Unified Computer Network for Education and Science of St. Petersburg (ROKSON) into NIKS.","PeriodicalId":504905,"journal":{"name":"Informacionnye Tehnologii","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139168359","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}