TONTOR ZONES MODEL FOR AUTOMATIVE OBJECT MONITORING
Gregory Tymchyk
deanpb@kpi.uaNational Technical University of Ukraine “Sikorsky Kyiv Polytechnic Institute" (Ukraine)
http://orcid.org/0000-0003-1079-998X
Volodymyr Skytsiouk
National Technical University of Ukraine “Sikorsky Kyiv Polytechnic Institute” (Ukraine)
http://orcid.org/0000-0003-1783-3124
Tatiana Klotchko
National Technical University of Ukraine “Sikorsky Kyiv Polytechnic Institute” (Ukraine)
http://orcid.org/0000-0003-3911-5369
Roman Akselrod
Kyiv National University of Construction and Architecture (Ukraine)
http://orcid.org/0000-0001-7643-7194
Valerii Shenfeld
Vinnytsia National Technical University (Ukraine)
http://orcid.org/0000-0002-5548-6971
Aliya Kalizhanova
Institute of Information and Computational Technologies CS MHES RK (Kazakhstan)
http://orcid.org/0000-0002-5979-9756
Didar Yedilkhan
Astana IT University (Kazakhstan)
http://orcid.org/0000-0002-6343-5277
Gaukhar Borankulova
Taraz Regional University M. Kh. Dulaty (Kazakhstan)
http://orcid.org/0000-0001-5701-8074
Abstract
The paper presents the results of analytical modeling of the case of the presence zone of an abstract object characterized by a solid mass. It has several zones of presence based on the foundations of the TONTOR theory. Research determined that the discrete solid-state zone of the presence characterizes the solid part of the AE itself or the particles that form the surrounding space near the abstract entity and is the most powerful zone among the existing zones. The proposed model for determining the parameters of TONTOR zones of an object provides the possibility of analyzing the state of this object during its movements in the working space and metrological measurements of coordinates. These metrological aspects in the automatic mode of operation of object state analysis system determine the properties that increase the accuracy and speed of operations for calculating object movement trajectories in various fields of research.
Keywords:
abstract entity, Pandan zone, automative monitoringReferences
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Authors
Gregory Tymchykdeanpb@kpi.ua
National Technical University of Ukraine “Sikorsky Kyiv Polytechnic Institute" Ukraine
http://orcid.org/0000-0003-1079-998X
Authors
Volodymyr SkytsioukNational Technical University of Ukraine “Sikorsky Kyiv Polytechnic Institute” Ukraine
http://orcid.org/0000-0003-1783-3124
Authors
Tatiana KlotchkoNational Technical University of Ukraine “Sikorsky Kyiv Polytechnic Institute” Ukraine
http://orcid.org/0000-0003-3911-5369
Authors
Roman AkselrodKyiv National University of Construction and Architecture Ukraine
http://orcid.org/0000-0001-7643-7194
Authors
Valerii ShenfeldVinnytsia National Technical University Ukraine
http://orcid.org/0000-0002-5548-6971
Authors
Aliya KalizhanovaInstitute of Information and Computational Technologies CS MHES RK Kazakhstan
http://orcid.org/0000-0002-5979-9756
Authors
Gaukhar BorankulovaTaraz Regional University M. Kh. Dulaty Kazakhstan
http://orcid.org/0000-0001-5701-8074
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