ISSN 1991-2927
 

ACP № 3 (61) 2020

Author: "Aleksei Aleksandrovich Filippov"

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Anton Alekseevich Romanov, Candidate of Sciences in Engineering; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University (UlSTU); Associate Professor of the Department of Information Systems at UlSTU; an author of articles in the field of intelligent systems for data storage and processing. e-mail: romanov73@gmail.comA. A. Romanov

Aleksei Aleksandrovich Filippov, Candidate of Sciences in Engineering; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; Associate Professor of the Department of Information Systems at UlSTU; an author of articles in the field of ontological modeling, intelligent systems for data storage and processing. e-mail: al.filippov@ulstu.ruA. A. Filippov

Nadezhda Glebovna Yarushkina, Doctor of Sciences in Engineering, Professor; graduated from Ulyanovsk Polytechnic Institute; Interim Rector of Ulyanovsk State Technical University, Head of the Department of Information Systems at UlSTU; an author of more than 300 scientific papers in the field of soft computing, fuzzy logic, and hybrid systems. e-mail: jng@ulstu.ruN. G. Yarushkina

Vladimir Anatolyevich Maklaev, Candidate of Sciences in Engineering; graduated from Radioengineering Faculty of Ulyanovsk Polytechnic Institute; Director General of Federal Research-and-Production Center Joint-Stock Company ‘Research-and-Production Association ‘Mars’. The area of scientific interests relates to the computer- aided design systems. e-mail: mars@mv.ruV. A. Maklaev

The decision support module of information environment for technological support of production60_7.pdf

Making management decisions requires a specialist to have extensive knowledge of the problem area and the current state of the organization. There is a need for timely and urgent management decision support in the activity of any large organization. The decision support module (DSM) was created to solve that kind of problem in the task of balancing production capacities. The main task of the DSM is a linguistic summarization of the state of the main production indicators and the formation of recommendations that allow the decision-maker to develop a specific strategy for balancing production capacities. The DSM functionality is based on the knowledge base in the form of ontology with the set of expert SWRL-rules. This article describes methods for modeling and forecasting the dynamics of the main production indicators based on type- 2 fuzzy sets, and the approach to summarizing the time series of production indicators and forming recommendations for optimizing production based on knowledge engineering methods.

Data-driven decision making, type-2 fuzzy sets, time series forecasting, ontology, inference.

2020_ 2

Sections: Artificial intelligence

Subjects: Artificial intelligence.

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Aleksei Aleksandrovich Filippov, Candidate of Sciences in Engineering; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; Associate Professor of the Department of Information Systems of UlSTU; an author of articles in the field of intelligent data storage and processing systems. e-mail: al.filippov@ulstu.ruA.A. Filippov

The creation of the knowledge base of design organization for automating the architecting process of software systems59_10.pdf

This article deals with an approach to automating the architecting process of software systems based on the experience of previous projects. The architecture of the software system is the understanding and presentation of the software system in the form of the architecture description. The architecture description consists of many design artifacts. Design artifacts are formed during the whole life cycle of the system. It is possible to improve the quality and reduce the time of design and implementation stages in the process of developing a new software system based on the experience of previous projects by extracting design experience units from previous projects. The design experience unit is a successful design and architectural solutions used in previous projects. The article describes the logical model of the knowledge base of the design organization that allows storing and searching for design experience units. The knowledge base model also allows link the design experience unit with the project where it was obtained, with the stage of the life cycle model where it was formed, with the concepts of the subject area, and with the design artifact from which it was extracted.

Architecting, Ontology, software system, design, implementation, knowledge base, design experience.

2020_ 1

Sections: Computer-aided engineering

Subjects: Computer-aided engineering.

Eduard Dmitrievich Pavlygin, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Science in Engineering; graduated from the Radioengineering Faculty of Ulyanovsk Polytechnic Institute; First Deputy of Director General in Scientific Affairs and Innovations of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of articles in the field of statistical methods of signal processing. [e-mail: mars@mv.ru]E. Pavlygin,

Anatolii Gennadievich Podloboshnikov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; Head of the Research Laboratory and Chief Designer at FRPC JSC ‘RPA ‘Mars’; research interests are in the field of special-purpose information system. e-mail: mars@mv.ruA. Podloboshnikov,

Ruslan Anatolevich Savinov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, graduated from the Machine-building Faculty of UlSTU; Software Engineer at FRPC JSC ‘RPA ‘Mars’. research interests are in the field of special-purpose information system. [e-mail: mars@mv.ru]R. Savinov,

Nadezhda Glebovna Yarushkina, Ulyanovsk State Technical University, Doctor of Science in Engineering, Professor; graduated from Ulyanovsk Polytechnic Institute; First Vice-Rector, Vice-Rector in Scientific Affairs in UlSTU, Head of the Department of Information Systems at UlSTU; an author of more than 300 publications in the field of soft computing, fuzzy logic, and hybrid systems. [e-mail: jng@ulstu.ru]N. Yarushkina,

Aleksei Mikhailovich Namestnikov, Ulyanovsk State Technical University, Doctor of Science in Engineering, Associate Professor; graduated from the Radioengineering Faculty of UlSTU; an author of more than 80 publications in the field of computer-aided design and intelligent systems.[e-mail: nam@ulstu.ru]A. Namestnikov,

Aleksei Aleksandrovich Filippov, Ulyanovsk State Technical University, Candidate in Science in Engineering; graduated from the Faculty of Information Systems and Technologies of UlSTU; Associate Professor at the Department of Information Systems of UlSTU; an author of articles in the field of ontological modelling and building of computer-aided systems for knowledge processing. [e-mail: al.filippov@ulstu.ru]A. Filippov,

Anton Alekseevich Romanov, Ulyanovsk State Technical University, Candidate of Science in Engineering; graduated from the Faculty of Information Systems and Technologies of UlSTU; Associate Professor at the Department of Information Systems of UlSTU;an author of articles in the field of systems for data storage and processing, and time series mining. [e-mail:romanov73@gmail.com]A. Romanov,

Vadim Sergeevich Moshkin, Ulyanovsk State Technical University, Candidate of Science in Engineering; graduated from the Faculty of information systems and Technologies at UlSTU; Associate Professor of Information Systems at UlSTU; an author of more than 70 articles in the field of data mining systems. [e-mail: postforvadim@ya.ru]V. Moshkin,

Gleb Iurevich Guskov, Ulyanovsk State Technical University, graduated from the Faculty of information Systems and Technologies of UlSTU; Senior Lecturer at the Department of Information Systems of UlSTU; an author of publications in the field of ontological engineering and data mining systems. [e-mail: g.guskov@ulstu.ru]G. Guskov,

Maria Sergeevna Grigoricheva, Ulyanovsk State Technical University, Postgraduate Student at the Department of Information Systems of UlSTU; graduated from the Faculty of Information Systems and Technologies of UlSTU; Assistant Lecturer at the Department of Information Systems of UlSTU; an author of publications in the field of data mining. [e-mail:gms4295@mail.ru]M. Grigoricheva

Development of a Software Package for Data Mining of Social Media56_3.pdf

The article presents the results of work on a software package for data mining of social media. The architecture of the software package is described. Listed the main subsystems of the software package and third-party software systems used in the development of a software package. The organization of the data storage subsystem of the software package is considered, the data model of this subsystem is described. The approach to organizing the ontology repository of a software package based on a graph database is described, and the ontology translation method in the OWL / XML format into a graph database fragment is presented. The organization of the data search subsystem is considered, the method of extending the search query using ontology for accounting for the features of the subject area in the search process is described. Also presented is a method of formatting a search query to highlight the important elements of the query to improve the quality of the search. The organization of the social portrait building subsystem of the user of the social network VKontakte is described, the method of determining the categories of interests of the user is considered.

Social media, ontological analysis, natural language processing, data mining, software package.

2019_ 2

Sections: Information systems

Subjects: Information systems, Artificial intelligence.



Aleksei Aleksandrovich Filippov, Ulyanovsk State Technical University, Candidate of Engineering; Associate Professor at the Department of Information Systems of Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; an author of articles in the field of intelligent systems for data storage and processing. [e-mail: al.filippov@ulstu.ru]A. Filippov,

Anastasiia Vladimirovna Vodovozova, Ulyanovsk State Technical University, Candidate for the Master’s Degree at the Department of Information Systems of Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; an author of articles in the field of intelligent systems for data storage and processing. [e-mail: nastyavodovozova@mail.ru]A. Vodovozova,

Svetlana Aleksandrovna Makarova, Ulyanovsk State Technical University, Candidate for the Master’s Degree at the Department of Information Systems of Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; an author of articles in the field of intelligent systems for data storage and processing. [e-mail: makarovasvetlana2025@gmail.com]S. Makarova,

Denis Olegovich Shalaev, Ulyanovsk State Technical University, Candidate for the Master’s Degree at the Department of Information Systems of Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; an author of articles in the field of intelligent systems for data storage and processing. [e-mail: melges@post.ru]D. Shalaev

Constructing the Fuzzy Domain-specific Knowledge Base on the Basis of Context Analysis 000_12.pdf

The paper discovers the ontology model of the fuzzy domain-specific knowledge base (KB) that allows describing the domain-specific ontology (DSO) according to variety of the DSO contexts. The DSO context is a state of the KB content, which can be selected from a variety of the ontology states. This state is obtained by versioning or organization of the KB content from different points of views. The using of the ontological approach for integration with heterogeneous corporate information resources is also described in the paper. The huge corpora of specialized texts that are connected with the DSO, different types of corporate KB, and wiki-resources are considered as corporate information resources.

Knowledge base, corporate information resources, ontology, context, problem area.

2016_ 4

Sections: Artificial intelligence

Subjects: Artificial intelligence.


Aleksei Aleksandrovich Filippov, Ulyanovsk State Technical University, Candidate of Engineering; Associate Professor at the Department of Information Systems at Ulyanovsk State Technical University; graduated from the Faculty Information Systems and Technologies of Ulyanovsk State Technical University; an author of articles in the field of intelligent systems for data storage and processing. [e-mail: al.fillipov@ulstu.ru ]A. Filippov,

Denis Olegovich Shalaev, Ulyanovsk State Technical University, Candidate for the Master’s Degree at the Department of Information Systems of Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University and got the Bachelor’s Degree in 2015; an author of articles in the field of intelligent systems of data storage and processing. [e-mail: melges@post.ru]D. Shalaev,

Viacheslav Vladimirovich Sherkunov, Ulyanovsk State Technical University, Post-graduate Student at the Department of Information Systems at Ulyanovsk State Technical University; graduated from the Faculty graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; an author of articles in the field of intelligent systems of data storage and processing. [e-mail: al.filippov@ulstu.ru]V. Sherkunov

The Implementation of Web-oriented System of Formation of Navigation Structure of Electronic Archive for Technical Documentation on the Basis of Ontological Models 000_7.pdf

The article considers a description and experimental results of web-oriented system of formation of electronic archive (EA) for technical documentation (TD) on the basis of ontological models. Preliminary indexing of documents is realized for the purpose of receiving ontological views. Subject area ontology of design organization is represented in OWL files. The main functions of the system include receipt and storage TD ontological representations, formation of EA navigation structure with the purpose of searching numerous documents similar to the certain document (of interest to the designer ) in semantics. In order to store the subject area ontology and TD ontological representations, the graph database Neo4j is used. The interaction with OWL format is executed through the use of OWL API library. The system is implemented on the basis of Java Enterprise Edition platform.

Intelligent system, structuring, ontology, navigation structure, electronic archive, technical documentation.

2015_ 4

Sections: Information systems

Subjects: Information systems, Artificial intelligence.


Aleksei Aleksandrovich Filippov, Ulyanovsk State Technical University, an assistant lecturer at the Department of Information Systems at Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies at Ulyanovsk State Technical University; an author of articles in the field of intelligence data storage and processing systems. [e-mail: al.filippov@ulstu.ru]A. Filippov

Navigation Structure-building of an Electronic Archive for Technical Documentation on the Basis of Ontological Models 33_9.pdf

The article contains a description of a formation process of an electronic technical documentation archive navigation structure on the basis of ontological models. A preliminary document indexing is made in order to receive ontological concepts. The domain ontology is represented in the form of RDF-triples "object-subject-predicate". The electronic technical documentation archive structuring and the formation of its navigation structure are executed in order to find a set of the technical documentation semantically similar to a certain document which is appealing to the designer.

Intelligence system, structuring, ontology, navigation structure, electronic archive, technical documentation.

2013_ 3

Sections: Computer-aided design system

Subjects: Artificial intelligence.


Alexey Mikhailovich Namestnikov, Ulyanovsk State Technical University, Candidate of Engineering, Associate Professor; graduated from the Faculty of Radio-Engineering of Ulyanovsk State Technical University; Associate Professor at the Chair Information Systems of the Faculty of Information Systems and Technologies; author of articles and a monograph in the field of intelligent systems for storage and processing of information. [e-mail: nam@ulstu.ru]A. Namestnikov,

Aleksei Aleksandrovich Filippov, Ulyanovsk State Technical University, post-graduate student at the Chair 'Information Systems'; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; author of articles in the field of intellectual systems for storage and processing of information. [e-mail: al.filippov@ulstu.ru]A. Philippov

Implementation of Clustering System for Conceptual Indexes of Design Documents 25_7.pdf

The article contains a description for the implementation of a clustering system of design documents. The documents are preliminary indexed in order to obtain conceptual indexes. The domain ontology is represented in the form of RDF-triplets object-subject-predicate. The XML-format is applied to store conceptual indexes. The Tamino XML-server is used as a repository.

Intellectual system, clustering, ontology, conceptual index.

2011_ 3

Sections: Artificial-intelligence systems

Subjects: Artificial intelligence, Automated control systems, Computer-aided engineering.


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