Pub Date : 2022-03-25DOI: 10.17212/2782-2001-2022-1-73-82
Abdunabi A. Kosimov
On the example of a model collection of Tajik literary works, the problem of the possibility of determining the authorship of a fragment of the text of the minimum size extracted from the collection is studied. A model collection of texts in the Tajik language composed of works of classical poetry and modern prose in Cyrillic graphics is considered. Each piece is associated with a digital portrait - the distribution of the frequencies of symbolic bigrams. To solve the problem of identifying the authors of texts, bigrams are quite acceptable quantitative characteristics. A γ-classifier is used as a tool for implementing the task, which allows the authors of textual information to be identified by the frequency of elements of alphabetic bigrams with a sufficiently high degree of efficiency. The mathematical model of the γ-classifier is represented as a triad. Its first component is a digital portrait (DP) of the text - the distribution of the frequency of bigrams in the text; the second component is formulas for calculating the distances between the DP texts and the third is a machine learning algorithm. The tuning of the algorithm using a table of paired distances between all products of the model collection consisted in determining an optimal value of the real parameter γ, for which the error of violation of the “homogeneity” hypothesis is minimized. It was also found that with the help of a γ-classifier by a digital portrait, it is possible to identify the authors of works in the Tajik language. By using the metric classifier and the method of the nearest (in terms of distance) neighbor, it was possible to identify the authors of decreasing sequences of text fragments from 7000 words (40,000 characters) up to 20 words (100 characters). The minimum volume of a sample of words or symbols for recognition of the author of a Tajik text has been determined. The results of experiments with a minimum sample size of words (characters) for recognizing the author of a text are described.
{"title":"On the recognition of the author of a text fragment based on the frequency of alphabetic bigrams","authors":"Abdunabi A. Kosimov","doi":"10.17212/2782-2001-2022-1-73-82","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-1-73-82","url":null,"abstract":"On the example of a model collection of Tajik literary works, the problem of the possibility of determining the authorship of a fragment of the text of the minimum size extracted from the collection is studied. A model collection of texts in the Tajik language composed of works of classical poetry and modern prose in Cyrillic graphics is considered. Each piece is associated with a digital portrait - the distribution of the frequencies of symbolic bigrams. To solve the problem of identifying the authors of texts, bigrams are quite acceptable quantitative characteristics. A γ-classifier is used as a tool for implementing the task, which allows the authors of textual information to be identified by the frequency of elements of alphabetic bigrams with a sufficiently high degree of efficiency. The mathematical model of the γ-classifier is represented as a triad. Its first component is a digital portrait (DP) of the text - the distribution of the frequency of bigrams in the text; the second component is formulas for calculating the distances between the DP texts and the third is a machine learning algorithm. The tuning of the algorithm using a table of paired distances between all products of the model collection consisted in determining an optimal value of the real parameter γ, for which the error of violation of the “homogeneity” hypothesis is minimized. It was also found that with the help of a γ-classifier by a digital portrait, it is possible to identify the authors of works in the Tajik language. By using the metric classifier and the method of the nearest (in terms of distance) neighbor, it was possible to identify the authors of decreasing sequences of text fragments from 7000 words (40,000 characters) up to 20 words (100 characters). The minimum volume of a sample of words or symbols for recognition of the author of a Tajik text has been determined. The results of experiments with a minimum sample size of words (characters) for recognizing the author of a text are described.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126614975","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}
Pub Date : 2022-03-25DOI: 10.17212/2782-2001-2022-1-109-120
P. Shonazarov, F. T. Kholov, Bekhruz B. Saidov
One of the most important IoT concerns is resource constraints such as power supply, processing power, memory capacity, wireless range, and wireless bandwidth. Low bandwidth wireless routing requires multiple routing steps to reach a destination. The Internet of things (Internet of things, IoT) is a technology that consists of a set of objects that are connected via the Internet and collect information generated by sensors. IoT devices are devices that are networked and accessible to anyone and everything anytime and anywhere. Examples of such devices include temperature sensors, motion sensors, heart rate sensors, energy consumption sensors, etc. For example, a temperature sensor can be built into a thermostat, an indicator of the amount of electricity consumed in homes, and a traffic sensor at a traffic light. This article proposes a scheme based on fragile watermarking and improved clustering to resolve the conflict between security and limited perceptual resources. To improve security, we are developing a stochastic positioning strategy based on a clustering algorithm to compute the position embedded in the temporal dynamics of the data measurement. Thus, security vulnerabilities created by a stationary embedded situation can not only be effectively addressed but also result in zero data disturbance. Our research results show that the proposed algorithm can effectively integrate low-cost data, as well as reduce power consumption and increase network life.
物联网最重要的问题之一是资源限制，如电源、处理能力、内存容量、无线范围和无线带宽。低带宽无线路由需要多个路由步骤才能到达目的地。物联网(Internet of things, IoT)是一种技术，它由一组通过互联网连接起来的物体组成，并收集传感器产生的信息。物联网设备是联网的设备，任何人、任何东西都可以随时随地访问。这种装置的例子包括温度传感器、运动传感器、心率传感器、能耗传感器等。例如，可以在恒温器中安装温度传感器，在家庭中安装电量指示器，在交通灯中安装交通传感器。本文提出了一种基于脆弱水印和改进聚类的方案来解决安全性与有限感知资源之间的冲突。为了提高安全性，我们正在开发一种基于聚类算法的随机定位策略，以计算嵌入在数据测量时间动态中的位置。这样，既可以有效地解决固定嵌入式环境产生的安全漏洞，又可以实现零数据干扰。研究结果表明，该算法可以有效地集成低成本数据，降低功耗，提高网络寿命。
{"title":"The method of digital watermarking for improving objects based on clusters and perception values","authors":"P. Shonazarov, F. T. Kholov, Bekhruz B. Saidov","doi":"10.17212/2782-2001-2022-1-109-120","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-1-109-120","url":null,"abstract":"One of the most important IoT concerns is resource constraints such as power supply, processing power, memory capacity, wireless range, and wireless bandwidth. Low bandwidth wireless routing requires multiple routing steps to reach a destination. The Internet of things (Internet of things, IoT) is a technology that consists of a set of objects that are connected via the Internet and collect information generated by sensors. IoT devices are devices that are networked and accessible to anyone and everything anytime and anywhere. Examples of such devices include temperature sensors, motion sensors, heart rate sensors, energy consumption sensors, etc. For example, a temperature sensor can be built into a thermostat, an indicator of the amount of electricity consumed in homes, and a traffic sensor at a traffic light. This article proposes a scheme based on fragile watermarking and improved clustering to resolve the conflict between security and limited perceptual resources. To improve security, we are developing a stochastic positioning strategy based on a clustering algorithm to compute the position embedded in the temporal dynamics of the data measurement. Thus, security vulnerabilities created by a stationary embedded situation can not only be effectively addressed but also result in zero data disturbance. Our research results show that the proposed algorithm can effectively integrate low-cost data, as well as reduce power consumption and increase network life.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116225064","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}
Pub Date : 2022-03-25DOI: 10.17212/2782-2001-2022-1-25-40
Yuri E. Voskoboinikov, V. Boeva
In the last two decades, integral models have been used to describe the dynamics of stationary nonlinear systems in which the terms of the Volterra series are the kernels. The most commonly used are the linear term (the impulse transition function depends on one variable) and the quadratic term (depending on two variables). An active experiment in which a special combination of rectangular pulses is fed to the input of the system is carried out to select two of its components in the output signal of the identified system - the output of the linear "subsystem" and the output of the "quadratic" subsystem. After isolating the output of the "quadratic" subsystem, the identification of the quadratic term of the Volterra series is reduced to solving a two-dimensional integral equation of the first kind. In the literature, inversion formulas are given in which the quadratic kernel function is obtained as a result of arithmetic operations with second-order derivatives of the output signal. Differentiation of functions is an incorrectly posed problem, when small errors in the assignment of a function (measurement noise) cause large errors in derivatives (especially in second-order derivatives). The paper proposes the use of smoothing cubic splines for stable calculation of derivatives. To calculate the mixed second-order derivative, a spline with two variables is built - a smoothing bicubic spline. The main problem that arises in practice when processing the data of a real experiment is the selection of a smoothing parameter, on the value of which a smoothing error of noisy data depends. As a rule, the value of the variance of the measurement noise is unknown in the experiment. Therefore, in this work, it is proposed to use an algorithm based on the L-curve method to select the smoothing parameter in the constructed splines (especially in the bicubic one), which does not require setting the variance of the measurement noise. The proposed identification algorithm has a high computational efficiency. The performed computational experiment showed a small methodical error (about 1%) and good resistance to noise in measurements of the output signals of the identified system. To reduce the random component of the identification error, it is proposed to use post-processing with a local-spatial compound filter.
{"title":"Identification of the quadratic kernel of the Volterra equation for modeling non-linear dynamic systems","authors":"Yuri E. Voskoboinikov, V. Boeva","doi":"10.17212/2782-2001-2022-1-25-40","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-1-25-40","url":null,"abstract":"In the last two decades, integral models have been used to describe the dynamics of stationary nonlinear systems in which the terms of the Volterra series are the kernels. The most commonly used are the linear term (the impulse transition function depends on one variable) and the quadratic term (depending on two variables). An active experiment in which a special combination of rectangular pulses is fed to the input of the system is carried out to select two of its components in the output signal of the identified system - the output of the linear \"subsystem\" and the output of the \"quadratic\" subsystem. After isolating the output of the \"quadratic\" subsystem, the identification of the quadratic term of the Volterra series is reduced to solving a two-dimensional integral equation of the first kind. In the literature, inversion formulas are given in which the quadratic kernel function is obtained as a result of arithmetic operations with second-order derivatives of the output signal. Differentiation of functions is an incorrectly posed problem, when small errors in the assignment of a function (measurement noise) cause large errors in derivatives (especially in second-order derivatives). The paper proposes the use of smoothing cubic splines for stable calculation of derivatives. To calculate the mixed second-order derivative, a spline with two variables is built - a smoothing bicubic spline. The main problem that arises in practice when processing the data of a real experiment is the selection of a smoothing parameter, on the value of which a smoothing error of noisy data depends. As a rule, the value of the variance of the measurement noise is unknown in the experiment. Therefore, in this work, it is proposed to use an algorithm based on the L-curve method to select the smoothing parameter in the constructed splines (especially in the bicubic one), which does not require setting the variance of the measurement noise. The proposed identification algorithm has a high computational efficiency. The performed computational experiment showed a small methodical error (about 1%) and good resistance to noise in measurements of the output signals of the identified system. To reduce the random component of the identification error, it is proposed to use post-processing with a local-spatial compound filter.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127498863","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}
Pub Date : 2022-03-25DOI: 10.17212/2782-2001-2022-1-121-139
D. Kruchinin
Mathematical knowledge bases are the development of classical mathematical reference books and encyclopedias, which, in turn, makes them an important tool for conducting various research in mathematical sciences and related fields. At present, there are various knowledge bases of mathematical objects. In this paper, we consider the knowledge base of the generating functions of two variables, which allows us to operate with multivariate objects. The relevance and significance of the work lies in solving various problems related to the mathematical apparatus of generating functions. In the paper we consider the use of the knowledge base of generating functions of two variables for solving problems of operating generating functions and obtaining coefficients for composition, reciprocal and compositional inverse generating functions of two variables and their powers, as well as obtaining explicit expressions for the coefficients of logarithmic derivatives of the generating functions. In addition, an inverse problem is considered aimed at obtaining generating functions for explicit expressions describing their coefficients. The use of the knowledge base of generating two-variable functions contributes to the process of constructing combinatorial generation algorithms for combinatorial objects defined by generating functions of many variables. As an example, the construction of combinatorial generation algorithms for sets defined by the generalized Narayana numbers is shown. The Narayana numbers describe classes of subsets for combinatorial sets defined by the Catalan numbers. In this paper, one of the combinatorial interpretations for the Narayana numbers is chosen - the set of the Dyck paths of length n, which have m peaks.
{"title":"Methodology for using the knowledge base of generating two-variable functions","authors":"D. Kruchinin","doi":"10.17212/2782-2001-2022-1-121-139","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-1-121-139","url":null,"abstract":"Mathematical knowledge bases are the development of classical mathematical reference books and encyclopedias, which, in turn, makes them an important tool for conducting various research in mathematical sciences and related fields. At present, there are various knowledge bases of mathematical objects. In this paper, we consider the knowledge base of the generating functions of two variables, which allows us to operate with multivariate objects. The relevance and significance of the work lies in solving various problems related to the mathematical apparatus of generating functions. In the paper we consider the use of the knowledge base of generating functions of two variables for solving problems of operating generating functions and obtaining coefficients for composition, reciprocal and compositional inverse generating functions of two variables and their powers, as well as obtaining explicit expressions for the coefficients of logarithmic derivatives of the generating functions. In addition, an inverse problem is considered aimed at obtaining generating functions for explicit expressions describing their coefficients. The use of the knowledge base of generating two-variable functions contributes to the process of constructing combinatorial generation algorithms for combinatorial objects defined by generating functions of many variables. As an example, the construction of combinatorial generation algorithms for sets defined by the generalized Narayana numbers is shown. The Narayana numbers describe classes of subsets for combinatorial sets defined by the Catalan numbers. In this paper, one of the combinatorial interpretations for the Narayana numbers is chosen - the set of the Dyck paths of length n, which have m peaks.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"96 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122705401","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}
Pub Date : 2022-03-25DOI: 10.17212/2782-2001-2022-1-7-24
Alexsandr A. Voevoda, V. Shipagin
Nonstationary linear systems or linear systems with variable parameters are systems that are described by linear differential equations with variable coefficients. Consideration of the controller synthesis problems for such systems may be dictated by the need to satisfy a certain margin of the automatic control system stability to minor disturbances both from sensors reading the state of the system and from changes in the parameters of the controlled object itself over time. In addition, a real controlled object, in comparison with its mathematical model, quite often contains some uncertainties that should not significantly affect the quality of control.This work considers an example of synthesizing a multichannel controller that would provide a good control quality (stability margin) if the controlled object contains some uncertainties or if its mathematical model with accuracy up to certain parameters is unknown. In addition, the control task is complicated by a link of delay in the structure of the object (that is, there is a certain period of time when there is no reaction from the regulated object to the control action).A modified algorithm of polynomial matrix decomposition of the matrix transfer function of the system, taking into account the conservation of the delay link poles, is chosen as a method of controller synthesis. To demonstrate the algorithm operation, a linear model of the unstable controlled object with a multi-channel structure consisting of two input and two output channels is taken. The description of the object is used in the form of the matrix transfer function, which shows the interaction in the multi-channel control system and the relationship between channels. The object model contains cross-links representing direct input-output connections. The delay links are present in all channels and are approximated using the Pade series with a limited number of terms. The non-stationary parameters of the object were obtained due to the multiplicative interference modeled in the Simulink Matlab package.It is necessary to achieve certain quality indicators of the output vector process when controlling two input influences. To ensure a stable transition process from the system, the poles preservation of the delay link will be necessary. Then the controller calculated for the system with the delay link in the form of the Pade series is applied to the system with an "ideal" delay.
{"title":"Calculation of a controller for a multi-channel object with non-stationary parameters containing delay links","authors":"Alexsandr A. Voevoda, V. Shipagin","doi":"10.17212/2782-2001-2022-1-7-24","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-1-7-24","url":null,"abstract":"Nonstationary linear systems or linear systems with variable parameters are systems that are described by linear differential equations with variable coefficients. Consideration of the controller synthesis problems for such systems may be dictated by the need to satisfy a certain margin of the automatic control system stability to minor disturbances both from sensors reading the state of the system and from changes in the parameters of the controlled object itself over time. In addition, a real controlled object, in comparison with its mathematical model, quite often contains some uncertainties that should not significantly affect the quality of control.This work considers an example of synthesizing a multichannel controller that would provide a good control quality (stability margin) if the controlled object contains some uncertainties or if its mathematical model with accuracy up to certain parameters is unknown. In addition, the control task is complicated by a link of delay in the structure of the object (that is, there is a certain period of time when there is no reaction from the regulated object to the control action).A modified algorithm of polynomial matrix decomposition of the matrix transfer function of the system, taking into account the conservation of the delay link poles, is chosen as a method of controller synthesis. To demonstrate the algorithm operation, a linear model of the unstable controlled object with a multi-channel structure consisting of two input and two output channels is taken. The description of the object is used in the form of the matrix transfer function, which shows the interaction in the multi-channel control system and the relationship between channels. The object model contains cross-links representing direct input-output connections. The delay links are present in all channels and are approximated using the Pade series with a limited number of terms. The non-stationary parameters of the object were obtained due to the multiplicative interference modeled in the Simulink Matlab package.It is necessary to achieve certain quality indicators of the output vector process when controlling two input influences. To ensure a stable transition process from the system, the poles preservation of the delay link will be necessary. Then the controller calculated for the system with the delay link in the form of the Pade series is applied to the system with an \"ideal\" delay.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124965713","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}
Pub Date : 2022-03-25DOI: 10.17212/2782-2001-2022-1-41-58
G. Danilov, A. Edelev
This article describes the reasons for creating a toolkit to study the energy system resilience using the capabilities of GIS technologies using the example of the Oil and Gas of Russia software package. A metamathematical model of the system and its division into main components, namely, topological and functional is described where the structural model reflects the topology of the power network in the form of a grap, and the functional model evaluates the performance taking into account both topological capabilities and functional constraints. Examples of the use of geographic information systems to aid in survivability research and the description of the requirements for developing tools for a new metamathematical model are considered. The architecture of the current "Oil and Gas of Russia" version, its features and problems that influenced the development of the new toolkit are described. The reasons for the use and features of the QT API during the development of the toolkit are given. The new toolkit assumes the use of the Model-View-Controller architecture, which allows you to modify each component independently of the other. This architecture also helps to decouple the topological and functional components by encapsulating the topological model in the form of a separate graph, and to use a controller to communicate with the functional component. This makes it possible to use different types of functional models without the need to change the topological model. Each functional model uses its own controller which sets complex of the country as a whole. Thus, the proposed changes to the "Oil and Gas of Russia" complex will make it possible to move in the study of resilience from modeling individual power plants to the fuel and energy.
本文以俄罗斯的Oil and Gas软件包为例，描述了创建一个工具包的原因，该工具包使用GIS技术的功能来研究能源系统的弹性。描述了系统的元数学模型及其主要组成部分，即拓扑和功能，其中结构模型以图的形式反映电网的拓扑结构，功能模型同时考虑拓扑能力和功能约束对性能进行评估。本文考虑了使用地理信息系统帮助进行生存能力研究的例子，并描述了开发新元数学模型工具的要求。描述了当前“俄罗斯石油和天然气”版本的架构，其功能和影响新工具包开发的问题。给出了在工具包开发过程中使用QT API的原因和特性。新工具包假定使用模型-视图-控制器体系结构，该体系结构允许您独立地修改每个组件。该体系结构还通过将拓扑模型封装为单独图的形式来帮助解耦拓扑和功能组件，并使用控制器与功能组件通信。这使得使用不同类型的功能模型成为可能，而无需更改拓扑模型。每个功能模型都使用自己的控制器，将国家的复杂情况设置为一个整体。因此，对“俄罗斯石油和天然气”综合体的拟议变更将使弹性研究从单个发电厂的建模转向燃料和能源。
{"title":"Development of a geographic information system to study the resilience of energy systems","authors":"G. Danilov, A. Edelev","doi":"10.17212/2782-2001-2022-1-41-58","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-1-41-58","url":null,"abstract":"This article describes the reasons for creating a toolkit to study the energy system resilience using the capabilities of GIS technologies using the example of the Oil and Gas of Russia software package. A metamathematical model of the system and its division into main components, namely, topological and functional is described where the structural model reflects the topology of the power network in the form of a grap, and the functional model evaluates the performance taking into account both topological capabilities and functional constraints. Examples of the use of geographic information systems to aid in survivability research and the description of the requirements for developing tools for a new metamathematical model are considered. The architecture of the current \"Oil and Gas of Russia\" version, its features and problems that influenced the development of the new toolkit are described. The reasons for the use and features of the QT API during the development of the toolkit are given. The new toolkit assumes the use of the Model-View-Controller architecture, which allows you to modify each component independently of the other. This architecture also helps to decouple the topological and functional components by encapsulating the topological model in the form of a separate graph, and to use a controller to communicate with the functional component. This makes it possible to use different types of functional models without the need to change the topological model. Each functional model uses its own controller which sets complex of the country as a whole. Thus, the proposed changes to the \"Oil and Gas of Russia\" complex will make it possible to move in the study of resilience from modeling individual power plants to the fuel and energy.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132876614","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}
Pub Date : 2022-03-25DOI: 10.17212/2782-2001-2022-1-83-92
A. Maistrenko, Anatoly A. Svetlakov
This article presents the results of the study of various transient modes of the pumping unit of an oil pumping station, in particular, the stator currents of the drive motor and the speed characteristic of its rotor rotation. The characteristics of the pumping unit can change quite significantly during operation. This is due to the fact that the parameters of the pumped oil change almost continuously, physical wear of the parts of the pumping unit also occurs, and the impeller is especially susceptible to wear. The input and output variables of this object are, respectively, the time and the angular velocity of rotation of its rotor. The combination of the above factors has a significant impact on the change in the speed of rotation of the rotor during operation, which can adversely affect the operation of the system as a whole. In order to eliminate the influence of external factors on the operation of the pumping unit, the relationship between the input and output variables was described by an ordinary differential equation with constant coefficients. The purpose of this work is to illustrate the possibilities and "technology" of applying the sensitivity algorithm for estimating the parameters of a given equation and to show that the proposed method and the numerical algorithm that implements it allow us to quite successfully solve the problem under consideration and they are suitable for solving many similar applied problems related to estimation of parameters of ordinary differential equations.Based on the results of the work, the proposed method and the numerical algorithm that implements it have shown their efficiency and can be further used to automate real control objects in various fields of science and technology.
{"title":"Estimation of parameters of the differential equation describing the processes of starting and stopping the pumping unit","authors":"A. Maistrenko, Anatoly A. Svetlakov","doi":"10.17212/2782-2001-2022-1-83-92","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-1-83-92","url":null,"abstract":"This article presents the results of the study of various transient modes of the pumping unit of an oil pumping station, in particular, the stator currents of the drive motor and the speed characteristic of its rotor rotation. The characteristics of the pumping unit can change quite significantly during operation. This is due to the fact that the parameters of the pumped oil change almost continuously, physical wear of the parts of the pumping unit also occurs, and the impeller is especially susceptible to wear. The input and output variables of this object are, respectively, the time and the angular velocity of rotation of its rotor. The combination of the above factors has a significant impact on the change in the speed of rotation of the rotor during operation, which can adversely affect the operation of the system as a whole. In order to eliminate the influence of external factors on the operation of the pumping unit, the relationship between the input and output variables was described by an ordinary differential equation with constant coefficients. The purpose of this work is to illustrate the possibilities and \"technology\" of applying the sensitivity algorithm for estimating the parameters of a given equation and to show that the proposed method and the numerical algorithm that implements it allow us to quite successfully solve the problem under consideration and they are suitable for solving many similar applied problems related to estimation of parameters of ordinary differential equations.Based on the results of the work, the proposed method and the numerical algorithm that implements it have shown their efficiency and can be further used to automate real control objects in various fields of science and technology.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127913806","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}
Pub Date : 2022-03-25DOI: 10.17212/2782-2001-2022-1-93-108
V. Filiushov
Linear controlled objects with one input and one output (single input - single output, SISO), and objects with multiple inputs and multiple outputs (multi-input – multi-output, MIMO) have different formalized controller synthesis algorithms. At the same time, objects with an unequal number of inputs and outputs, in many cases, are built by the developer intuitively, when changing the existing calculation algorithms for each control object, therefore, the development of a formalized calculation algorithm for this type of objects is relevant. Within the framework of this work, it is proposed to extend the synthesis technique for multichannel objects, which is the polynomial synthesis technique, to objects with a smaller number of inputs compared to the number of outputs, namely, to objects with one input and several outputs (single input – multi-output, SIMO). The reasoning developed in the work is an example of calculating an electromechanical tension control system in the material transportation zone of the production line, which has one input – the voltage supplied to the electric motor and four outputs–- the armature current, the rotation speed of the electric motor shaft, the rotation speed of the roll, the tension in the zone under consideration and the elastic moment. The tension in the considered zone is an adjustable coordinate. The use of the polynomial synthesis method for objects with a non-square matrix function made it possible to place the poles of a closed system in a given position, and the transfer function does not contain zeros according to the assignment. It was also possible to set the disturbance-stimulated zeros of the closed system in such a way that a second-order astatism is obtained.
单输入单输出的线性控制对象(single input - single output, SISO)和多输入多输出的线性控制对象(multi-input - multi-output, MIMO)具有不同的形式化控制器合成算法。同时，输入和输出数量不等的对象在很多情况下是由开发人员在改变每个控制对象的现有计算算法时直观地构建的，因此，针对这类对象开发一种形式化的计算算法是相关的。在本工作的框架内，提出将多通道对象的合成技术(即多项式合成技术)扩展到输入数量比输出数量少的对象，即一个输入和多个输出(单输入-多输出，SIMO)的对象。本文的推理是计算生产线物料输送区机电张力控制系统的一个例子，该系统有一个输入-电动机的电压，四个输出-电枢电流，电动机轴的转速，轧辊的转速，所考虑的区域的张力和弹性力矩。所考虑的区域的张力是一个可调坐标。对具有非方阵函数的对象采用多项式综合方法，使封闭系统的极点在给定位置上放置成为可能，并且根据分配，传递函数不包含零。也可以设置封闭系统的扰动刺激零点，从而获得二阶无稳态。
{"title":"The polynomial method of controller synthesis based on the reference and disturbing signals","authors":"V. Filiushov","doi":"10.17212/2782-2001-2022-1-93-108","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-1-93-108","url":null,"abstract":"Linear controlled objects with one input and one output (single input - single output, SISO), and objects with multiple inputs and multiple outputs (multi-input – multi-output, MIMO) have different formalized controller synthesis algorithms. At the same time, objects with an unequal number of inputs and outputs, in many cases, are built by the developer intuitively, when changing the existing calculation algorithms for each control object, therefore, the development of a formalized calculation algorithm for this type of objects is relevant. Within the framework of this work, it is proposed to extend the synthesis technique for multichannel objects, which is the polynomial synthesis technique, to objects with a smaller number of inputs compared to the number of outputs, namely, to objects with one input and several outputs (single input – multi-output, SIMO). The reasoning developed in the work is an example of calculating an electromechanical tension control system in the material transportation zone of the production line, which has one input – the voltage supplied to the electric motor and four outputs–- the armature current, the rotation speed of the electric motor shaft, the rotation speed of the roll, the tension in the zone under consideration and the elastic moment. The tension in the considered zone is an adjustable coordinate. The use of the polynomial synthesis method for objects with a non-square matrix function made it possible to place the poles of a closed system in a given position, and the transfer function does not contain zeros according to the assignment. It was also possible to set the disturbance-stimulated zeros of the closed system in such a way that a second-order astatism is obtained.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132556829","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}
Pub Date : 2022-03-25DOI: 10.17212/2782-2001-2022-1-59-72
Ivan S. Kalytyuk, G. Frantsuzova, Andrei V. Gunko
This article discusses the design of a system for collecting and predictive analysis of social media data. With the development of the Internet, as well as social media, it has become easier to access and distribute information because the network users themselves are both creators and recipients of varying information. The main type of social media is social networks. Facebook, VK, Instagram, YouTube, Twitter, Odnoklassniki, WhatsApp and Telegram messengers are among the most well-known ones. The most important functions of social media are to influence the perception, attitude and final behavior of consumers. Predictive analytics is based on automatic search for connections, anomalies and patterns between various factors. To form a predictive model, a large set of statistical modeling methods, data mining, machine learning, neural networks and other mechanisms are used. Together with various methods of collecting information from Internet resources, such as parsing and social network APIs, predictive analytics can offer the most interesting sources of information for the user. In order to combine the methods of predictive analysis and data collection methods, it is necessary to take a detailed approach to the system design process. In this paper, special attention is paid to the detailed description of the second of the main parts of the system (the analysis subsystem). In addition, the full architecture and algorithm of operation are highlighted. The results obtained will be used in further development, and it is planned to use them in full. Working on this topic will facilitate the process of subsequent testing and research of the system.
{"title":"Final stages of designing a system for collecting and predictive analysis of social media data","authors":"Ivan S. Kalytyuk, G. Frantsuzova, Andrei V. Gunko","doi":"10.17212/2782-2001-2022-1-59-72","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-1-59-72","url":null,"abstract":"This article discusses the design of a system for collecting and predictive analysis of social media data. With the development of the Internet, as well as social media, it has become easier to access and distribute information because the network users themselves are both creators and recipients of varying information. The main type of social media is social networks. Facebook, VK, Instagram, YouTube, Twitter, Odnoklassniki, WhatsApp and Telegram messengers are among the most well-known ones. The most important functions of social media are to influence the perception, attitude and final behavior of consumers. Predictive analytics is based on automatic search for connections, anomalies and patterns between various factors. To form a predictive model, a large set of statistical modeling methods, data mining, machine learning, neural networks and other mechanisms are used. Together with various methods of collecting information from Internet resources, such as parsing and social network APIs, predictive analytics can offer the most interesting sources of information for the user. In order to combine the methods of predictive analysis and data collection methods, it is necessary to take a detailed approach to the system design process. In this paper, special attention is paid to the detailed description of the second of the main parts of the system (the analysis subsystem). In addition, the full architecture and algorithm of operation are highlighted. The results obtained will be used in further development, and it is planned to use them in full. Working on this topic will facilitate the process of subsequent testing and research of the system.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115976283","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}
Pub Date : 2021-12-27DOI: 10.17212/2782-2001-2021-4-73-84
A. Afonin, A. S. Sulakov, M. S. Maamo
Nowadays, high-precision measurement of aircraft vibration parameters during its main operations modes, including in-flight operation mode, is still considered an important scientific and technical field of study and research. These kinds of measurements are usually conducted in order to analyze the airplane vibration properties and characteristics, which serves in diagnosing the state of its structure, predicting the appearance and development of defects and deformations, as well as to prevent or avoid the influence of dangerous phenomena such as flutter, buffeting, etc. In this article, the authors present the primary results of their work to build a system designed to measure such airplane vibration parameters. In comparison with the existing analogous systems, the new proposed system makes use of traditional vibrometric measurement methods in combination with approaches typical for solving orientation and navigation problems. So, the article discusses the principles of constructing a measurement system of vibration parameters of aircraft structural elements using the example of a system for measuring aircraft wing vibrations using MEMS IMU units and data fusion technology. A brief review of the main existing solutions in this research field is carried out, and the relevance and expediency of the proposed version of the system is substantiated. The basic components and structure of the proposed system are presented, including MEMS IMU units, a displacement sensor, and an onboard navigation system. The basic principles of the system operation are described based on the use of data from the displacement sensor, inertial measurements and optimal Kalman estimation. The main algorithms for the system operation are presented, including algorithms for inertial measurements, estimation and correction, as well as the actual algorithm for calculating vibration parameters. In addition, the mathematical errors models of the main measurements units of the system are presented. The article also presents simulation results, which are encouraging, and they demonstrate the performance of the system and its expected relatively high accuracy characteristics, which in turns confirms the expected efficiency of its application and the prospects of the chosen direction of research and development.
{"title":"On the application of estimation and correction algorithms in the system for measuring vibration parameters of aircraft structural elements","authors":"A. Afonin, A. S. Sulakov, M. S. Maamo","doi":"10.17212/2782-2001-2021-4-73-84","DOIUrl":"https://doi.org/10.17212/2782-2001-2021-4-73-84","url":null,"abstract":"Nowadays, high-precision measurement of aircraft vibration parameters during its main operations modes, including in-flight operation mode, is still considered an important scientific and technical field of study and research. These kinds of measurements are usually conducted in order to analyze the airplane vibration properties and characteristics, which serves in diagnosing the state of its structure, predicting the appearance and development of defects and deformations, as well as to prevent or avoid the influence of dangerous phenomena such as flutter, buffeting, etc. In this article, the authors present the primary results of their work to build a system designed to measure such airplane vibration parameters. In comparison with the existing analogous systems, the new proposed system makes use of traditional vibrometric measurement methods in combination with approaches typical for solving orientation and navigation problems. So, the article discusses the principles of constructing a measurement system of vibration parameters of aircraft structural elements using the example of a system for measuring aircraft wing vibrations using MEMS IMU units and data fusion technology. A brief review of the main existing solutions in this research field is carried out, and the relevance and expediency of the proposed version of the system is substantiated. The basic components and structure of the proposed system are presented, including MEMS IMU units, a displacement sensor, and an onboard navigation system. The basic principles of the system operation are described based on the use of data from the displacement sensor, inertial measurements and optimal Kalman estimation. The main algorithms for the system operation are presented, including algorithms for inertial measurements, estimation and correction, as well as the actual algorithm for calculating vibration parameters. In addition, the mathematical errors models of the main measurements units of the system are presented. The article also presents simulation results, which are encouraging, and they demonstrate the performance of the system and its expected relatively high accuracy characteristics, which in turns confirms the expected efficiency of its application and the prospects of the chosen direction of research and development.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123234799","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：