Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
In the paper the problem of high computational complexity of synthesis is discussed. Existing models and methods of synthesis don’t allow build models of biological objects and systems. The complexity can be significantly reduced due to considering multilevel objects models instead of single level models. The new problem statement for multilevel synthesis is given. To build the models a new method based on inductive and deductive approaches is proposed. To describe the new multilevel models of the objects the theory of automata models is extended to the case of multilevel relatively finite operational automata models. Results of modeling of dynamics of the acid-base state in cavernous sinus of patients with cardiac surgical pathology during the postoperative period in the operating room and in the cardio-resuscitation unit are given.
Original language | English |
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Title of host publication | Computational Science and Its Applications – ICCSA 2019 - 19th International Conference, 2019, Proceedings |
Editors | Sanjay Misra, Carmelo Torre, Eufemia Tarantino, Bernady O. Apduhan, Osvaldo Gervasi, Beniamino Murgante, Elena Stankova, Vladimir Korkhov, Ana Maria A.C. Rocha, David Taniar |
Publisher | Springer Nature |
Pages | 441-456 |
Number of pages | 16 |
ISBN (Print) | 9783030242954 |
DOIs | |
State | Published - 1 Jan 2019 |
Event | 19th International Conference on Computational Science and Its Applications, ICCSA 2019 - Saint Petersburg, Russian Federation Duration: 1 Jul 2019 → 4 Jul 2019 Conference number: 19 |
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11620 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference | 19th International Conference on Computational Science and Its Applications, ICCSA 2019 |
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Abbreviated title | ICCSA 2019 |
Country/Territory | Russian Federation |
City | Saint Petersburg |
Period | 1/07/19 → 4/07/19 |
ID: 47608118