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Knowledge Base Applied Usage Operating on the Basis of Network Structure

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Networked Control Systems for Connected and Automated Vehicles (NN 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 510))

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Abstract

This paper concentrates on applied usage of knowledge base which operates on the basis of network structure. One of the main areas of such usage is an automated distance learning system operating on the basis of the cloud technology. The system is based on the use of a knowledge base of a network structure. The proposed automated learning system leads to a minimum of contacts between a teacher and a student which is very actual due to COVID preventive measures. When organizing the educational process through the proposed system, it becomes possible to conduct a dialogue between a student and a computer acting as a teacher. Within such a dialogue, students are active, they are given the opportunity to form a request about the terms and concepts that appear within the framework of the topic being studied. As a result, a new technology of distance learning, which will reduce the amount of work of the teacher in the classroom, increase the amount of independent work of the student is created.

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Authors and Affiliations

  1. Don State Technical University, Gagarin Square, 1, Rostov-on-Don, 344003, Russia

    Anush Melikyan & Ani Babloyan

  2. National Polytechnic University of Armenia, Teryan Street, 105, 0009, Yerevan, Armenia

    Eduard Manukyan & Ovsanna Manukyan

Authors
  1. Anush Melikyan
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  2. Ani Babloyan
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  3. Eduard Manukyan
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  4. Ovsanna Manukyan
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Corresponding author

Correspondence to Anush Melikyan .

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Editors and Affiliations

  1. Rostovskogo Strelkovogo Polka Narodnogo, Rostov State Transport University, Rostov-on-Don, Russia

    Alexander Guda

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Melikyan, A., Babloyan, A., Manukyan, E., Manukyan, O. (2023). Knowledge Base Applied Usage Operating on the Basis of Network Structure. In: Guda, A. (eds) Networked Control Systems for Connected and Automated Vehicles. NN 2022. Lecture Notes in Networks and Systems, vol 510. Springer, Cham. https://doi.org/10.1007/978-3-031-11051-1_212

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