ISSN 1991-2927
 

ACP № 2 (56) 2019

Author: "Aleksandr Alekseevich Emelianov"

Iuliia Aleksandrovna Radionova, FRPC JSC ‘RPA ‘Mars’, Candidate of Science in Engineering; graduated from the Faculty of Mathematics and Mechanics of Ulyanovsk State University; finished her postgraduate study at Ulyanovsk State Technical University; Lead Software Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of automated workflow systems, intelligent technical documentation storages, and statistical analysis of supplier appraisal. [e-mail: julia-owl@mail.ru]I. Radionova,

Aleksandr Alekseevich Emelianov, FRPC JSC ‘RPA ‘Mars’, Candidate of Science in Engineering; graduated from F.E. Dzerzhinsky Military Academy; Chief Specialist of FRPC JSC ‘RPA ‘Mars’; an author of publications in the field of the quality management and information security systems creation, statistical analysis of supplier appraisal. [e-mail: mars@mv.ru]A. Emelianov,

Aleksandr Leonodovich Savkin, FRPC JSC ‘RPA ‘Mars’, Candidate of Military Sciences, Associate Professor; graduated from the Ulyanovsk Higher Military Command School of Communications, the Marshal Budjonny Military Academy of Signal Corps; completed postgraduate studies in the Military Academy of Communications; Head of Science and Engineering Support Department of FRPC JSC ‘RPA ‘Mars’; an author of scientific works, textbooks, and articles in the field of development and modelling of communication control systems and statistical analysis of supplier appraisal. [e-mail: mars@mv.ru]A. Savkin

Application of Statistical Data in a Dynamic Model of Software Reliability Evaluation 54_5.pdf

Authors consider an issue of software reliability evaluation, general definitions and reliability performances as well as the existing models of reliability evaluation. The parameters of existing models have been analyzed. A model best applying for evaluating the software reliability under conditions of operational testing has been chosen. A modification of the chosen model has been developed, which takes into account the complexity of software, the work distribution while software developing, the qualification of implementers, the distinction between the complexity and importance of errors detected while testing. A database structure has been developed for storage information on experimental findings. A software implementation of initial and modified models has been carried out. A plan of experiments has been designed. A testing simulation with various combinations of initial data has been implemented. Errors of model operation have been analyzed and compared. On the base of the implemented analyze, a conclusion on a higher effectiveness of the software reliability evaluation implemented by the use of the modified model has been provided. A concept of the performance factor of an implementer has been introduced, the dynamics of this factor has been analyzed based on statistical data obtained. The analysis proved the validity of the concept determination in the model developed. The conclusion on the possibility of implementing the additional functional for software reliability evaluating with separation to modules as well as of making the recommendations on the tasks assigned to implementer after the carried-out analysis of detected errors has been drawn.

Software reliability, model of reliability evaluation, testing, effectiveness.

2018_ 4

Sections: Information systems

Subjects: Information systems.


Aleksandr Alekseevich Emelianov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from F.E. Dzerzhinsky Military Academy; Deputy Chief Engineer for Quality Assurance and Engineering Support - Head of the Management Department of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of publications in the field of creation of the quality management and information security systems, statistical analysis of supplier appraisal. [e-mail: mars@mv.ru]A. Emelianov,

Iuliia Aleksandrovna Radionova, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Mathematics and Mechanics of Ulyanovsk State University; finished her postgraduate study at Ulyanovsk State Technical University; Lead Software Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of automated workflow systems, intelligent technical documentation storages, and statistical analysis of supplier appraisal. [e-mail: julia-owl@mail.ru]I. Radionova,

Aleksandr Leonidovich Savkin, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Military Sciences, Associate Professor; graduated from Ulyanovsk Higher Military Command School of Communications, Marshal Budjonny Military Academy of Signal Corps, completed postgraduate studies in the Military Academy of Communications; Head of Science and Engineering Support Department of FRPC JSC ‘RPA ‘Mars’; an author of scientific works, textbooks, and articles in the field of development and modelling of communication control systems and statistical analysis of supplier appraisal. [e-mail: mars@mv.ru]A. Savkin

Information and Analytical Model of Product Testing for Counterfeit 52_4.pdf

The article considers a problem of counterfeit products and the existing methods for solving this problem. An information and analytical method for the optimization of an expert product evaluation is proposed, which uses a parameter set and allows to automate the final decision-making process. The set of parameters takes into account not only indicators for suppliers, but also possible consequences of using counterfeit products for different groups of consumers. The method is based on the application of a neural network using a certain base of expert knowledge. Network training is provided during analyzing process with the possibility of correction by an expert. Modeling of the analysis process with different sets of input parameters and various parameters of the neural network was carried out. The results are stored in the database; the neural network performance is evaluated based on these results. The database structure, input parameters structure and the visualization of experimental results are presented.

Counterfeit, modeling, evaluation parameter, database, software, neural network.

2018_ 2

Sections: Information systems

Subjects: Information systems.


Aleksandr Alekseevich Emelianov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from F.E. Dzerzginsky Military Academy; Deputy Chief Engineer for Quality Assurance and Engineering Support - Head of the Management Department of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of publications in the field of constructing the quality management and information security systems. [e-mail: mars@mv.ru]A. Emelianov,

Iulia Aleksandrovna Radionova, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Mathematics and Mechanics of Ulyanovsk State University, finished her postgraduate studies at Ulyanovsk State Technical University; Lead Programming Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of automated workflow systems, intelligent technical documentation storages. [e-mail: julia-owl@mail.ru]I. Radionova,

Aleksandr Leonidovich Savkin, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Military Sciences, Associate Professor; graduated from Ulyanovsk High Education Military Communications Academy and the Marshal Budjonny Military Academy of Signal Corps; finished his postgraduate studies at the same Academy; Head of the Department of Scientific-and-Technical Activity Providing of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of papers, textbooks in the field of development and modelling of communication control systems. [e-mail: mars@mv.ru]A. Savkin

Simulation and Statistical Control of Procurement Risks 000_7.pdf

In order to optimize the acceptance control, a supplement to the statistical method of control - the dynamic characteristic of a supplier [1], was developed at the enterprise. On the basis of some supplier’s parameters and the products schedule line, a coefficient allowing to decrease a controllable sample size is composed. The article describes structure of the database developed on the basis of the method of supply statistical control and the dynamic characteristic calculation. The database allows to store statistical data about products supplies and calculation data for simulation of acceptance control. Schemes of relations between database entities and a scheme of the dynamic characteristic calculation are demonstrated in the article. A brief description of the developed software interface is considered. The software realizes the following functions: registration, data review and analysis, calculation of suppliers’ quality indices, data calculation for simulation of control.

statistical control, supplier evaluation, dynamic characteristic, evaluation specifications, simulation, database,softwar.

2017_ 2

Sections: Information systems

Subjects: Information systems, Mathematical modeling.


Aleksandr Alekseevich Emelianov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from F.E. Dzerzginsky Military Academy; Deputy Chief Engineer for Quality Assurance and Engineering Support - Head of the Management Department of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of publications in the field of constructing the quality management and information security systems [e-mail: mars@mv.ru]A. Emelianov,

Iulia Aleksandrovna Radionova, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Mathematics and Mechanics of Ulyanovsk State University, finished her postgraduate studies at Ulyanovsk State Technical University; Lead Programming Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of automated workflow systems, intelligent technical documentation storages. [e-mail: julia-owl@mail.ru]I. Radionova,

Aleksandr Leonidovich Savkin, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Military Sciences, Associate Professor; graduated from Ulyanovsk High Education Military Communications Academy and the Marshal Budjonny Military Academy of Signal Corps; finished his postgraduate studies at the same Academy; Head of the Department of Scientific-and-Technical Activity Providing of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author papers, textbooks in the field of development and modeling of communication control systems. [e-mail: mars@mv.ru]A. Savkin

The Statistical Approach to the Assessment of Suppliers for the Large Instrument Making Enterprise 000_10.pdf

The main components of statistical acceptance inspection such as plans, types, levels, operative characteristics, risks of suppliers and customers, acceptance and reject levels of defectiveness, and also dependency between all the parameters on the basis of the mathematical statistics theory are considered. The use of acceptance statistical control of the purchasing products and components parcel, one-, two-, and three-stage control plans, methods for controlled sampling frame volume calculation, the main problems arising in case of applying the specified methods are also considered. The authors define the terms of the supplier dynamic characteristic and supplier confidence level. The authors also propose the method for constructing the supplier dynamic characteristic on the basis of capture and analysis of statistical data of incoming inspection over the previous periods. The data include the supplier parameters values, the forming quality index of the supplier, the degree of merit for the products parcel as whole and individual products. The dependency of the controlled sampling frames on the supplier dynamic characteristics is considered.

Statistical control, supplier assessment, dynamic characteristic.

2016_ 4

Sections: Information systems

Subjects: Information systems.


Aleksandr Alekseevich Emelianov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from F.E. Dzerzginsky Military Academy; Deputy Chief Engineer for Quality Assurance and Engineering Support - Head of the Management Department of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of publications in the field of constructing the quality management and information security systems. [e-mail: mars@mv.ru]A. Emelianov,

Iulia Aleksandrovna Radionova, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Mathematics and Mechanics of Ulyanovsk State University, finished her postgraduate study at Ulyanovsk State Technical University; Lead Programming Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of automated workflow systems, intelligent technical documentation storages. [e-mail: julia-owl@mail.ru]I. Radionova

The Model for Estimating the Efficiency of Solving the Task of Risk Minimization in the Context of an Organization 000_9.pdf

Nowadays in the process of organization management, the decision-making problem under conditions of uncertainty in some functioning parameters (internal and external ones) exists. One of the main ways to solve the problem is forecasting risks appeared in functioning process, and risk management. Existence of different risk management methods allows to a head of an organization choosing the most appropriate one. The most appropriate method for a large research-and-production organization is a statistic one based on big data array numerical analysis. Such a method proposes more accurate results unaffected by experts’ subjective opinion. The article considers the simulation method for the process of risk management in the context of an organization and the statistic method of risk minimization based on the usage of mathematical statistics tools. The method allows estimating not only the risk level but also the efficiency of actions intended to risk minimization.

Risk management, statistic method, risk minimization.

2016_ 2

Sections: Mathematical modeling

Subjects: Mathematical modeling, Information systems.


Mikhail Victorovich Buynevich, [e-mail: mars@mv.ru] M. Buynevich,

, [e-mail: mars@mv.ru] A. Emelyanov

Operation Model for System of Protection Against Unauthorized Access to Critical Information Resources During C2 System Design 17_14.pdf

The article deals with an algorithm developed to ensure the operation of a system of information protection against unauthorized access, which implements a given function list taking into account introduced assumptions. The mathematical model of the protection system is designed on basis of the algorithm taking into account optimization of time and cost of implementation of some requests.

Information security system, information security during c2 system design, mathematical model of system protection, algorithm of information security system operation, critical information resources, computer-aided combat management system.

2009_ 3

Sections: Optimal synthesis of shipborne c2 system elements

Subjects: Mathematical modeling, Automated control systems.


Aleksandr Alekseevich Emelianov, [e-mail: mars@mv.ru] A. Emelyanov

Evaluation Procedures for Variants of Integrated Information Security System During Ships' C2 System Design 17_15.pdf

The article synthesizes a procedure for technical and economic evaluation of variants of integrated information security system during design of C2 systems. It also deals with a quantitative evaluation procedure developed for software and hardware security of C2 system development in computer-aided environment in case of unauthorized access.

Integrated information security system, technical and economic assessment (evaluation) of information security, quantitative assessment (evaluation) of information security, information protection against unauthorized access, critical information resources, computer-aided design system, information security facilities.

2009_ 3

Sections: Mathematical modeling

Subjects: Mathematical modeling, Automated control systems, Architecture of ship's system.


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