Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software最新文献

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Comparative Analysis of Software Implementation Efficiency of the Semi-Analytical Methods for Calculating Wave Fields in Multilayer Anisotropic Composites 多层各向异性复合材料波场半解析计算方法的软件实现效率比较分析
IF 0.2
E. V. Glushkov, N. Glushkova, M.V. Vareldzhan
{"title":"Comparative Analysis of Software Implementation Efficiency of the Semi-Analytical Methods for Calculating Wave Fields in Multilayer Anisotropic Composites","authors":"E. V. Glushkov, N. Glushkova, M.V. Vareldzhan","doi":"10.14529/mmp220205","DOIUrl":"https://doi.org/10.14529/mmp220205","url":null,"abstract":"","PeriodicalId":44106,"journal":{"name":"Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73297415","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
System Analysis of Classification of Prime Knots and Links in Thickened Surfaces of Genus 1 and 2 1属和2属加厚曲面上素数结和环的分类系统分析
IF 0.2
A. A. Akimova
{"title":"System Analysis of Classification of Prime Knots and Links in Thickened Surfaces of Genus 1 and 2","authors":"A. A. Akimova","doi":"10.14529/mmp220301","DOIUrl":"https://doi.org/10.14529/mmp220301","url":null,"abstract":"In this paper, we present a system analysis of approaches to classification of prime knots and links in thickened surfaces of genus 1 and 2 obtained by the author in collaboration with S.V. Matveev and V.V. Tarkaev in 2012 – 2020. The algorithm of the classification forms structure of the present paper. The results of classification are considered within system analysis of the main ideas of key steps of the algorithm. First, we construct prime projections. To this end, we define a prime link projection, enumerate graphs of special type which embedding in the surface can be a prime projection, enumerate projections in the surface, and show that all obtained projections are prime and not equivalent using some invariants of projections. Second, we construct prime links. To this end, we define a prime link, construct a preliminary set of diagrams, use invariants of links to form equivalence classes of the obtained diagrams and show that the resulting diagrams are not equivalent, and prove primality of the obtained links. At that, at each step, the used methods and the introduced objects are characterized from viewpoints of two cases (genus 1 and 2), and we distinguish properties that are common for both cases or characteristics of only one of two cases. Note consolidated tables, which systematize the classified projections with respect to their properties: generative graph, genus, number of components and crossings, existence and absence of bigon that simplifies the further work with the proposed classification of projections and links.","PeriodicalId":44106,"journal":{"name":"Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80014406","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
Dynamic Bayesian Network and Hidden Markov Model of Predicting IoT Data for Machine Learning Model Using Enhanced Recursive Feature Elimination 基于增强递归特征消除的机器学习模型预测物联网数据的动态贝叶斯网络和隐马尔可夫模型
IF 0.2
S. Noeiaghdam, S. Balamuralitharan, V. Govindan
{"title":"Dynamic Bayesian Network and Hidden Markov Model of Predicting IoT Data for Machine Learning Model Using Enhanced Recursive Feature Elimination","authors":"S. Noeiaghdam, S. Balamuralitharan, V. Govindan","doi":"10.14529/mmp220308","DOIUrl":"https://doi.org/10.14529/mmp220308","url":null,"abstract":"The research work develops a Context aware Data Fusion with Ensemblebased Machine Learning Model (CDF-EMLM) for improving the health data treatment. This research work focuses on developing the improved context aware data fusion and efficient feature selection algorithm for improving the classification process for predicting the health care data. Initially, the data from Internet of Things (IoT) devices are gathered and pre-processed to make it clear for the fusion processing. In this work, dual filtering method is introduced for data pre-processing which attempts to label the unlabeled attributes in the data that are gathered, so that data fusion can be done accurately. And then the Dynamic Bayesain Network (DBN) is a good trade-off for tractability becoming a tool for CADF operations. Here the inference problem is handled using the Hidden Markov Model (HMM) in the DBN model. After that the Principal Component Analysis (PCA) is used for feature extraction as well as dimension reduction. The feature selection process is performed by using Enhanced Recursive Feature Elimination (ERFE) method for eliminating the irrelevant data in dataset. Finally, this data are learnt using the Ensemble based Machine Learning Model (EMLM) for data fusion performance checking.","PeriodicalId":44106,"journal":{"name":"Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73813801","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
Oskolkov Models and Sobolev-Type Equations Oskolkov模型和sobolev型方程
IF 0.2
T. G. Sukacheva
{"title":"Oskolkov Models and Sobolev-Type Equations","authors":"T. G. Sukacheva","doi":"10.14529/mmp220101","DOIUrl":"https://doi.org/10.14529/mmp220101","url":null,"abstract":"This article is a review of the works carried out by the author together with her students and devoted to the study of various Oskolkov models. Their distinctive feature is the use of the semigroup approach, which is the basis of the phase space method used widely in the theory of Sobolev-type equations. Various models of an incompressible viscoelastic fluid described by the Oskolkov equations are presented. The degenerate problem of magnetohydrodynamics, the problem of thermal convection, and the Taylor problem are considered as examples. The solvability of the corresponding initial-boundary value problems is investigated within the framework of the theory of Sobolev-type equations based on the theory for p -sectorial operators and degenerate semigroups of operators. An existence theorem is proved for a unique solution, which is a quasi-stationary semitrajectory, and a description of the extended phase space is obtained. The foundations of the theory of solvability of Sobolev-type equations were laid by Professor G.A. Sviridyuk. Then this theory, together with various applications, was successfully developed by his followers.","PeriodicalId":44106,"journal":{"name":"Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75025467","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
Analysis of the Influence of the Lagrange Multiplier on the Operation of the Algorithm for Estimating the Signal Parameters under a Priori Uncertainty 拉格朗日乘法器对先验不确定性下信号参数估计算法运算的影响分析
IF 0.2
N. E. Poborchaya, E. M. Lobov
{"title":"Analysis of the Influence of the Lagrange Multiplier on the Operation of the Algorithm for Estimating the Signal Parameters under a Priori Uncertainty","authors":"N. E. Poborchaya, E. M. Lobov","doi":"10.14529/mmp220210","DOIUrl":"https://doi.org/10.14529/mmp220210","url":null,"abstract":"","PeriodicalId":44106,"journal":{"name":"Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89131752","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
Algorithm for Verifying the Measurements 验证测量的算法
IF 0.2
A. Shestakov, D. Klygach, M. Vakhitov
{"title":"Algorithm for Verifying the Measurements","authors":"A. Shestakov, D. Klygach, M. Vakhitov","doi":"10.14529/mmp220310","DOIUrl":"https://doi.org/10.14529/mmp220310","url":null,"abstract":"","PeriodicalId":44106,"journal":{"name":"Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87987115","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
A Method for Machine-Readable Zones Location Based on a Combination of the Hough Transform and the Search for Feature Points 基于Hough变换和特征点搜索相结合的机读区定位方法
IF 0.2
B. Savelyev, N. Skoryukina, V. Arlazarov
{"title":"A Method for Machine-Readable Zones Location Based on a Combination of the Hough Transform and the Search for Feature Points","authors":"B. Savelyev, N. Skoryukina, V. Arlazarov","doi":"10.14529/mmp220208","DOIUrl":"https://doi.org/10.14529/mmp220208","url":null,"abstract":"This article describes a method for machine-readable zones location in document images based on a combination of the Hough transform and the search for feature points. The search for feature points, filtering, and clustering using the Hough transform are described step-by-step. In addition to the machine-readable zone location, we develop a solution for determining the orientation of the zone. This method is designed to meet the requirements for real-time operation on mobile devices. The paper presents the results of measuring the quality of the method on an open synthetic dataset and the operating time on mobile devices. An experimental study on an artificial dataset show that the proposed algorithm allows to achieve a quality of 0,82 in terms of the mean value of the Jaccard indices. The operating time of the proposed algorithm for machine-readable zone location on a mobile device is 6 ms on the iPhone SE 2.","PeriodicalId":44106,"journal":{"name":"Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75713778","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: 2
Leontief-Type Systems and Applied Problems leontief型系统及其应用问题
IF 0.2
Amber V Keller
{"title":"Leontief-Type Systems and Applied Problems","authors":"Amber V Keller","doi":"10.14529/mmp220102","DOIUrl":"https://doi.org/10.14529/mmp220102","url":null,"abstract":"","PeriodicalId":44106,"journal":{"name":"Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77507144","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
A Modification of Dai-Yuan's Conjugate Gradient Algorithm for Solving Unconstrained Optimization 求解无约束优化的代元共轭梯度算法的改进
IF 0.2
Y. Najm Huda, I. Ahmed Huda
{"title":"A Modification of Dai-Yuan's Conjugate Gradient Algorithm for Solving Unconstrained Optimization","authors":"Y. Najm Huda, I. Ahmed Huda","doi":"10.14529/mmp220309","DOIUrl":"https://doi.org/10.14529/mmp220309","url":null,"abstract":"","PeriodicalId":44106,"journal":{"name":"Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82671173","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
Studying the Model of Air and Water Filtration in a Melting or Freezing Snowpack 融化或冻结积雪中空气和水过滤模式的研究
IF 0.2
S.V. Alekseeva, S. Sazhenkov
{"title":"Studying the Model of Air and Water Filtration in a Melting or Freezing Snowpack","authors":"S.V. Alekseeva, S. Sazhenkov","doi":"10.14529/mmp220201","DOIUrl":"https://doi.org/10.14529/mmp220201","url":null,"abstract":"","PeriodicalId":44106,"journal":{"name":"Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80640091","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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