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Scientific and Technical Journal of Information Technologies, Mechanics and Optics最新文献

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Methods of contactless registration of information signals for the audit of information security of power supply systems and networks 用于审计供电系统和网络信息安全的非接触式信息信号登记方法
Q4 Engineering Pub Date : 2023-12-01 DOI: 10.17586/2226-1494-2023-23-6-1233-1241
A. Grishentsev, S. Arustamov, N.S. Karmanovsky, V. Goroshkov, R. Chernov
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引用次数: 0
Raman spectroscopy of nanocomposites ZnO/ZnS and ZnO/ZnSe obtained by solvothermal-microwave synthesis method 溶热-微波合成法获得的纳米复合材料 ZnO/ZnS 和 ZnO/ZnSe 的拉曼光谱分析
Q4 Engineering Pub Date : 2023-12-01 DOI: 10.17586/2226-1494-2023-23-6-1136-1142
Y. Rati, A. S. Rini, Ali Umar Akrajas, M. Agustin
{"title":"Raman spectroscopy of nanocomposites ZnO/ZnS and ZnO/ZnSe obtained by solvothermal-microwave synthesis method","authors":"Y. Rati, A. S. Rini, Ali Umar Akrajas, M. Agustin","doi":"10.17586/2226-1494-2023-23-6-1136-1142","DOIUrl":"https://doi.org/10.17586/2226-1494-2023-23-6-1136-1142","url":null,"abstract":"","PeriodicalId":21700,"journal":{"name":"Scientific and Technical Journal of Information Technologies, Mechanics and Optics","volume":"360 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139195573","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
Parameter estimation of permanent magnet synchronous motor 永磁同步电机的参数估计
Q4 Engineering Pub Date : 2023-12-01 DOI: 10.17586/2226-1494-2023-23-6-1242-1246
A. A. Pyrkin, A. Vedyakov, A.K. Golubev
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引用次数: 0
Modeling the illumination of the Earth's surface to select the operating modes of the radiation source 建立地球表面照明模型,以选择辐射源的工作模式
Q4 Engineering Pub Date : 2023-12-01 DOI: 10.17586/2226-1494-2023-23-6-1077-1083
A.I. Altuchov, D. S. Korshunov
{"title":"Modeling the illumination of the Earth's surface to select the operating modes of the radiation source","authors":"A.I. Altuchov, D. S. Korshunov","doi":"10.17586/2226-1494-2023-23-6-1077-1083","DOIUrl":"https://doi.org/10.17586/2226-1494-2023-23-6-1077-1083","url":null,"abstract":"","PeriodicalId":21700,"journal":{"name":"Scientific and Technical Journal of Information Technologies, Mechanics and Optics","volume":"54 11-12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139190556","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
Numerical algorithm for finding the optimal composition of the reacting mixture on the basis of the reaction kinetic model 根据反应动力学模型寻找反应混合物最佳成分的数值算法
Q4 Engineering Pub Date : 2023-12-01 DOI: 10.17586/2226-1494-2023-23-6-1128-1135
E. V. Antipina, S. A. Mustafina, A. Antipin
{"title":"Numerical algorithm for finding the optimal composition of the reacting mixture on the basis of the reaction kinetic model","authors":"E. V. Antipina, S. A. Mustafina, A. Antipin","doi":"10.17586/2226-1494-2023-23-6-1128-1135","DOIUrl":"https://doi.org/10.17586/2226-1494-2023-23-6-1128-1135","url":null,"abstract":"","PeriodicalId":21700,"journal":{"name":"Scientific and Technical Journal of Information Technologies, Mechanics and Optics","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139194421","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
Using topological data analysis for building Bayesan neural networks 利用拓扑数据分析构建贝叶斯神经网络
Q4 Engineering Pub Date : 2023-12-01 DOI: 10.17586/2226-1494-2023-23-6-1187-1197
A.S. Vatian, N.F. Gusarova, D.A. Dobrenko, K.S. Pankova, I. V. Tomilov
{"title":"Using topological data analysis for building Bayesan neural networks","authors":"A.S. Vatian, N.F. Gusarova, D.A. Dobrenko, K.S. Pankova, I. V. Tomilov","doi":"10.17586/2226-1494-2023-23-6-1187-1197","DOIUrl":"https://doi.org/10.17586/2226-1494-2023-23-6-1187-1197","url":null,"abstract":"","PeriodicalId":21700,"journal":{"name":"Scientific and Technical Journal of Information Technologies, Mechanics and Optics","volume":"172 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139195426","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
Emotion analysis of social network data using cluster based probabilistic neural network with data parallelism 使用基于数据并行性的集群概率神经网络对社交网络数据进行情感分析
Q4 Engineering Pub Date : 2023-12-01 DOI: 10.17586/2226-1494-2023-23-6-1143-1151
S. Jini, N. C. Indra
{"title":"Emotion analysis of social network data using cluster based probabilistic neural network with data parallelism","authors":"S. Jini, N. C. Indra","doi":"10.17586/2226-1494-2023-23-6-1143-1151","DOIUrl":"https://doi.org/10.17586/2226-1494-2023-23-6-1143-1151","url":null,"abstract":"","PeriodicalId":21700,"journal":{"name":"Scientific and Technical Journal of Information Technologies, Mechanics and Optics","volume":"19 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139191775","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
Investigation of polyvinyl butyral coatings with carbon quantum dots on the characteristics of silicon solar cells 含碳量子点的聚乙烯醇缩丁醛涂层对硅太阳能电池特性的影响研究
Q4 Engineering Pub Date : 2023-12-01 DOI: 10.17586/2226-1494-2023-23-6-1122-1127
V.N. Korchagin, I. Sysoev, V. Ratushny, D. V. Mitrofanov, O. Chapura
{"title":"Investigation of polyvinyl butyral coatings with carbon quantum dots on the characteristics of silicon solar cells","authors":"V.N. Korchagin, I. Sysoev, V. Ratushny, D. V. Mitrofanov, O. Chapura","doi":"10.17586/2226-1494-2023-23-6-1122-1127","DOIUrl":"https://doi.org/10.17586/2226-1494-2023-23-6-1122-1127","url":null,"abstract":"","PeriodicalId":21700,"journal":{"name":"Scientific and Technical Journal of Information Technologies, Mechanics and Optics","volume":"139 1-4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139194477","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
Luminescent dynamics of oxygen oxidation of Viburnum opulus L. in chitosan solutions with gold nanoparticles 金纳米粒子壳聚糖溶液中紫云英氧氧化的发光动力学
Q4 Engineering Pub Date : 2023-12-01 DOI: 10.17586/2226-1494-2023-23-6-1084-1095
A. Tsibulnikova, E. Zemlyakova, D. Artamonov, V. Slezhkin, I. Samusev, A. Zubin, V. V. Bryukhanov
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引用次数: 0
Lyapunov function search method for analysis of nonlinear systems stability using genetic algorithm Lyapunov函数搜索法用于非线性系统稳定性分析的遗传算法
Q4 Engineering Pub Date : 2023-10-01 DOI: 10.17586/2226-1494-2023-23-5-886-893
A.M. Zenkin, A.A. Peregudin, A.A. Bobtsov
A wide class of smooth continuous dynamic nonlinear systems (control objects) with a measurable state vector is considered. The problem of finding a special function (Lyapunov function), which guarantees asymptotic stability for the presented class of nonlinear systems in the framework of the second Lyapunov method, is posed. It is known that the search for the Lyapunov function is an extremely difficult problem that has no universal solution in stability theory. The methods of selection or search of the Lyapunov function for stability analysis of closed linear stationary systems and for nonlinear objects with explicitly expressed linear dynamical and nonlinear static parts are well studied. At the same time, no universal approaches to finding the Lyapunov function for a more general class of nonlinear systems have been identified. In this paper, we propose a new approach to the search of the Lyapunov function for analyzing the stability of smooth continuous dynamic nonlinear systems with a measurable state vector. The essence of the proposed approach consists in the representation of some function through the sum of nonlinear summands representing the elements of the object state vector multiplied by unknown coefficients. The search for these coefficients is performed using a classical genetic algorithm including mutation, selection, and crossover operations. The found coefficients provide all the necessary conditions for the Lyapunov function (within the framework of the second Lyapunov method). The genetic algorithm approach does not require a training sample which imposes restrictions in the form of the structure of control objects included in it. A new method for finding the Lyapunov function represented as a nonlinear series with known functions multiplied by unknown coefficients is proposed. The effectiveness of the proposed method is demonstrated using computer simulations with a fixed number of iterations and varying population size. The dependence of the number of successfully found Lyapunov functions on the number of iterations of the genetic algorithm has been established. The convergence of the genetic algorithm using Holland’s schemes is analyzed. It is shown that the values of the sought coefficients of the potential Lyapunov function, at each algorithm iteration, approach the coefficients of the Lyapunov function which was also represented as a Taylor series. The method proposed in this paper outperforms known analogs in terms of speed, considers the decomposition of the potential Lyapunov function into a Taylor series with unknown coefficients, instead of using counterexamples or template functions.
考虑一类具有可测量状态向量的光滑连续动态非线性系统(控制对象)。给出了在第二类李雅普诺夫方法框架下求一类非线性系统渐近稳定的特殊函数(李雅普诺夫函数)的问题。在稳定性理论中,李雅普诺夫函数的求解是一个没有普遍解的极其困难的问题。研究了封闭线性平稳系统和具有明确表示的线性动态部分和非线性静态部分的非线性对象的稳定性分析的李雅普诺夫函数的选择或搜索方法。与此同时,对于一类更一般的非线性系统,还没有找到寻找李雅普诺夫函数的通用方法。本文提出了一种新的搜索Lyapunov函数的方法,用于分析具有可测状态向量的光滑连续动态非线性系统的稳定性。该方法的本质在于通过表示对象状态向量的元素乘以未知系数的非线性求和来表示某些函数。对这些系数的搜索使用经典的遗传算法执行,包括突变、选择和交叉操作。所发现的系数提供了Lyapunov函数的所有必要条件(在第二个Lyapunov方法的框架内)。遗传算法方法不需要训练样本,而训练样本会以其中包含的控制对象的结构形式施加限制。提出了一种求解Lyapunov函数的新方法,该函数表示为已知函数乘以未知系数的非线性级数。通过固定迭代次数和不同种群规模的计算机仿真验证了该方法的有效性。建立了成功找到的李雅普诺夫函数的个数与遗传算法迭代次数的关系。分析了采用Holland格式的遗传算法的收敛性。结果表明,在每次算法迭代中,所求的潜在Lyapunov函数的系数值接近Lyapunov函数的系数,Lyapunov函数也表示为泰勒级数。本文提出的方法在速度方面优于已知的类似方法,考虑将潜在的Lyapunov函数分解为具有未知系数的泰勒级数,而不是使用反例或模板函数。
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引用次数: 0
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Scientific and Technical Journal of Information Technologies, Mechanics and Optics
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