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• DEVELOPMENT OF ALGORITHMS OF INTELLIGENT SERVICE FOR INFORMATION SEARCH AND MONITORING

  M. S. Anferova, A. M. Belevtsev

  2021-08-11

  Abstract ▼

  This paper describes the problem of strategic analysis and the choice of directions for the development
  of an innovative enterprise in the conditions of transition to the 6th technological order and
  industry 4.0. In these conditions, search and analytical processing of information cannot be fully performed
  without the use of automated information and analytical systems, including those based on artificial
  intelligence. During the analysis, the main priority functions that the developed services should
  provide were identified. The main difficulties in the development of these services are identified, such as:
  pre-processing of data and automated checking of the relevance of databases. To effectively solve thetasks set, the intelligent monitoring and information retrieval service should use an integrated approach,
  taking into account the effectiveness of applying methods for individual subtasks, and ensure high efficiency
  of implementing all stages of the intelligent monitoring procedure. In this regard, this paper describes
  not only the development of a general intelligent search algorithm, but also individual block
  algorithms necessary to ensure the priority functions of the service being developed. The paper presents
  the following algorithms: an information search algorithm necessary to solve the problem of full-text
  search of documents within the database of information resources of the information and analytical
  complex; an algorithm for the procedure for entering new documents; an algorithm for pre-processing
  data that includes stemming and removing punctuation marks for subsequent text analysis; an algorithm
  for evaluating the ranking and relevance of information, including vectorization of documents; an algorithm
  for clustering information search results based on the Kohonen neural network; the algorithm for
  checking the relevance of information is to check whether the local copy of the document corresponds to
  the current version on the source's web resource. The Python programming language for the implementation
  of the presented algorithm is proposed and justified. The system provides automated continuous
  monitoring with a high frequency of sending a request without the participation of an operator, which
  will increase the quality and efficiency of information search in conditions of a large volume of unstructured
  information.

• ANALYSIS OF REQUIREMENTS AND DEVELOPMENT OF ALGORITHMS FOR INTELLIGENT MONITORING SERVICES

  М.S. Anferova, А.М. Belevtsev

  2022-08-09

  Abstract ▼

  The paper considers the problems of strategic analysis and the choice of directions for the development
  of innovative enterprises in the conditions of transition to the 6th technological order and industry
  4.0. The main levels of analysis are determined. The objectives of the strategic analysis are outlined
  based on the scale of the research being conducted. The analysis tasks are highlighted, the solution of
  which will allow achieving the set goals. The complexity of solving global monitoring tasks, which are
  caused by a large volume of heterogeneous and unstructured information, is shown. In these conditions,
  thematic search and analytical processing of information cannot be performed without the use of automated information and analytical systems and the creation of search services based on artificial intelligence.
  A general monitoring procedure is proposed. The main stages of monitoring technological trends
  are defined, the tasks to be solved within a specific stage and the planned result are shown. Based on the
  general monitoring procedure, the main priority functions that the developed services should have are
  determined. As well as the problems of their development and structuring of the received information in
  the form of information objects and clustering of documents. In contrast to the well-known global monitoring
  systems, in which the search is based on indicators: an increase in the use of keywords, an increase
  in the number of new authors, quoting works from related fields. Algorithms are proposed that
  provide the definition of reference topics, assessment of ranking and relevance of information. The description
  of the algorithms is given on the example of creating a summary information table, with the
  help of which the interrelationships of documents of scientific and technological development in each
  direction of monitoring and the search for specific documents in the database are formed. The construction
  of search services based on the presented algorithms will ensure the allocation of reference topics
  of documents, provide more reliable results of clustering of unstructured information and the formation
  of scientific and technological trends in information and analytical complexes. To implement the algorithm,
  it is proposed to use the Python programming language. The implementation of these algorithms
  will improve the quality and efficiency of information retrieval in conditions of a large volume of unstructured
  information.

• METHODOLOGY FOR DETERMINING AND ANALYZING THE TECHNICAL CHARACTERISTICS OF TECHNOLOGICAL TRENDS

  М.S. Anferova, А.М. Belevtsev, V. V. Dvoretskiy

  2025-01-30

  Abstract ▼

  The rapid growth of scientific knowledge and the ever-increasing volume of scientific publications
  pose serious challenges to identify new trends and understand the changing research landscape. The formation
  of technological trends is necessary for the development and construction of development
  roadmaps at the national, sectoral and corporate levels. The task of identifying technological trends is an
  important problem in the field of data analysis and machine learning. Well-known methods of analysis,
  including clustering by time factor, make it possible to form key phrases, but the task of forming trends,
  studying their characteristics and dynamics of their development does not currently have a satisfactory
  solution. The solution to this problem involves: – creating a methodology for moving from key phrases to
  directly naming new technological trends; – determination of the regularity of technology development in
  a given subject area; – determining the direction of future research. Solving these tasks will create an
  effective decision support tool, reduce the time to identify a trend, assess the dynamics of its development
  and build roadmaps. In the presented work, a new approach to the formation of technological trends is
  proposed. The method is based on machine learning algorithms and natural language processing methods
  and aims to overcome some of the limitations of traditional methods. In particular, the technique makes it
  possible to identify complex relationships between various scientific concepts and provides a more accurate
  and comprehensive way to identify trends. The analysis of methods and methods for identifying trends
  in scientific and technological development and their development based on keywords identified using a
  model using time clustering is carried out. An algorithm for identifying trends is proposed

• METHODOLOGY FOR ANALYZING THE DEVELOPMENT OF EMERGING TECHNOLOGIES AND TECHNOLOGICAL FRONTS

  М. S. Anferova, А. М. Belevtsev, А. А. Belevtsev

  2023-10-23

  Abstract ▼

  The speed of changes in the innovative development of the economy is constantly increasing,
  especially in high-tech areas. In this regard, the task of conducting continuous dynamic monitoring,
  identifying significant technologies and strategic analysis of the directions of development of
  science and technology becomes extremely important. Currently, this work is not automated and
  requires significant financial and time costs. The paper analyzes the main problems of building
  monitoring procedures and identifying emerging technologies, the formation and development of
  technological trends. The solution of the tasks of automating the process of determining trends is
  associated with the development and use of formalized procedures and statistical methods for the
  study of texts of scientific publications, patents and collections of scientific and technological documents.
  However, due to the high dynamics of changes, bibliometric and linguistic analysis is not
  enough to form development trends. The implementation of a new technological development may
  take several years. In this regard, it is necessary that by the time the development is completed, the
  project goal remains relevant, and the achieved parameters have competitive advantages. Achieving
  the set tasks is impossible without understanding the evolution of technologies and technical
  solutions over time and forecasting their new quality parameters. The available methods of assessing
  and forecasting the level of technology development do not consider, as a rule, the high
  dynamics of the formation of new trajectories of technology development and their interrelationships
  in technological trends. It is necessary to create information and analytical data processing
  systems that will allow technologies to be isolated from open or closed sources and interpreted.
  In this paper, the method of identifying emerging technologies and the formation of technological
  trends is considered. The methodology takes into account the presence of trend characteristics, the
  interrelationships of individual technologies and the type of trend. The main stages of the formation
  of new technologies are determined. The characteristics and main criteria of the new trend
  are highlighted. A classification of the types of new trends is proposed. For the given subject areas,
  an algorithm for the formation and analysis of the characteristics of the technological trend is
  proposed.