DOI

  • Vasiliy Osipov
  • Elena Stankova
  • Alexander Vodyaho
  • Mikhail Lushnov
  • Yulia Shichkina
  • Nataly Zhukova

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.

Язык оригиналаанглийский
Название основной публикацииComputational Science and Its Applications – ICCSA 2019 - 19th International Conference, 2019, Proceedings
РедакторыSanjay Misra, Carmelo Torre, Eufemia Tarantino, Bernady O. Apduhan, Osvaldo Gervasi, Beniamino Murgante, Elena Stankova, Vladimir Korkhov, Ana Maria A.C. Rocha, David Taniar
ИздательSpringer Nature
Страницы441-456
Число страниц16
ISBN (печатное издание)9783030242954
DOI
СостояниеОпубликовано - 1 янв 2019
Событие19th International Conference on Computational Science and Its Applications, ICCSA 2019 - Saint Petersburg, Российская Федерация
Продолжительность: 1 июл 20194 июл 2019
Номер конференции: 19

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том11620 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

конференция

конференция19th International Conference on Computational Science and Its Applications, ICCSA 2019
Сокращенное названиеICCSA 2019
Страна/TерриторияРоссийская Федерация
ГородSaint Petersburg
Период1/07/194/07/19

    Предметные области Scopus

  • Теоретические компьютерные науки
  • Компьютерные науки (все)

ID: 47608118