ISSN 1991-2927
 

ACP № 1 (59) 2020

Author: "Vladimir Nikolaevich Naumov"

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УДК 65.015

Vladimir Nikolaevich Naumov, Doctor of Military Sciences, Professor, Honored Scientist of the Russian Federation; graduated from the Faculty of Electronic Computer Equipment of the A.S. Popov Higher Naval School of Radioengineering; Head of the Business-Informatics Department of the North-West Institute of Management, the Branch of the Russian Presidential Academy of National Economy and Public Administration in St. Petersburg; an author of articles, monographs, tutorials in the field of system-oriented analysis of information systems, data analysis and machine learning. e-mail: naumov122@list.ruV.N. Naumov,

Pavel Vladimirovich Naumov, graduated from Peter the Great St. Petersburg Polytechnic University; Chief Developer of organizational and executive documentation at Shipbuilding&Shiprepair Technology Center; an author of articles in the field of risk management. e-mail: naumov@sstc.spb.ruP.V. Naumov

Forecasting the risks of information system design58_3.pdf

The article considers the problem of forecasting the risks of designing information systems based on the use of machine learning methods. The ensemble of methods allows us to estimate the quality of the solution of a problem using a set of indicators and select the best one. To solve it, the language R, the statistical platform SPSS, and the Orange Canvas system are used. Machine learning is based on the use of a synthetic training set, which includes categorical factors of possible design risks. The sample is formed and verified using the methods of cluster analysis and the principal component method.

Forecasting, information systems design, risks, machine learning, cluster analysis, principal component method, classification methods, classification quality indicators.

2019_ 4

Sections: Information systems

Subjects: Information systems.

Ilya Vitalyevich Bondarenko, Military Training and Research Centre Naval Academy named after N. Kuznetsov, Candidate of Engineering; graduated from the Faculty of C2 Systems of the Naval Radio-Electronics Academy named after A. Popov; senior lecturer at the Military Training and Research Centre Naval Academy named after N. Kuznetsov; author of articles in the field of use of neuronet models in military fields. [e-mail: bondarenko@bk.ru]I. Bondarenko,

Sergey Petrovich Navoytsev, FRPC OJSC RPA Mars, Candidate of Engineering, senior staff scientist; laureate of the State Prize of the Russian Federation; graduated from the Faculty of Software of the Naval Radio-Electronics Academy named after A. Popov; specializes in the field of information technologies of special-purpose C2 systems; deputy chief designer at FRPC OJSC RPA Mars. [e-mail: navojcev@yandex.ru]S. Navoytsev,

Vladimir Nikolaevich Naumov, Military Training and Research Centre Naval Academy named after N. Kuznetsov, Doctor of Military Sciences, Professor; honoured worker in the science of the Russian Federation; graduated from the Faculty of Computers of the Naval Radio-Electronics Academy named after A. Popov; Professor at the Military Training and Research Centre 'Naval Academy named after N. Kuznetsov'; author of numerous publications in the field of automation of control processes of ship's facilities and systems. [e-mail: naumov122@list.ru]V. Naumov,

Yury Ivanovich Sineshchuk, Military Training and Research Centre Naval Academy named after N. Kuznetsov, Doctor of Engineering, Professor; honoured worker of the Higher School of the Russian Federation; graduated from the Faculty of Combat-Management Systems of the Naval Radio-Electronics Academy named after A. Popov; Professor at the Military Training and Research Centre Naval Academy named after N. Kuznetsov; specializes in the field of modeling of the features of the operation stability of complex systems. [e-mail: sinegal@rambler.ru]Y. Sineshchuk

Neuronet Model of Situation Categorization 25_5.pdf

The article cites a neuronet model to categorize situations which occur during the repulsion of anti-ship missiles. It also describes the membership functions of input and output variables. The authors brought to light required methods of variable phasing.

Anti-aircraft defense, anti-ship missiles, neural network, situation categorization.

2011_ 3

Sections: Artificial-intelligence systems

Subjects: Artificial intelligence, Automated control systems, Architecture of ship's system.


Vladimir Nikolaevich Naumov, [e-mail: mars@mv.ru] Naumov V.

Tools of Software Project Management 16_10.pdf

The article deals with optimization models of planning of software project development on basis of different life-cycle models of software products. In order to determine parameters of road-maps, software engineering methods are proposed to be used.

Software project, planning models, software engineering methods.

2009_ 2

Sections: Theoretical problems of design automation

Subjects: Computer-aided engineering.


Vladimir Nikolaevich Naumov, [e-mail: mars@mv.ru] V. Naumov ,

Alexander Arkadevich Tatarinov, [e-mail: mars@mv.ru] A. Tatarinov,

Oleg Markovich Turovsky, [e-mail: mars@mv.ru] O. Turovsky,

Oleg Evgenevich Chudakov, [e-mail: mars@mv.ru] O. Chudakov

Model for Definition of Generalized Requirements for Computer-aided Training System for Training of Ship Crews in Group Activities 16_16.pdf

The article deals with a model for definition of generalized requirements for computer-aided training system for group training of ship crews. The model is based on network vision of requirements for system taking into account roles of different categories of ship's crew persons and their mutual influence. This approach contributes to integration of analytical and heuristic approaches during researches in the field of complex organizational and technical systems, to detection of priorities of different training subsystems, trends in its improvement.

Training of the navy personnel, computer-aided training system, model of generalized requirements.

2009_ 2

Sections: Problems of special c2 system design

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


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