Visualization and cognitive graphics in scientific research; PalArch's Journal of Archaeology of Egypt/Egyptology; Vol. 17, iss. 10

Visualization and cognitive graphics in scientific research; PalArch's Journal of Archaeology of Egypt/Egyptology; Vol. 17, iss. 10

Detalles Bibliográficos
Parent link:PalArch's Journal of Archaeology of Egypt/Egyptology
Vol. 17, iss. 10.— 2020.— [P. 1606-1618]
Autor Corporativo: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники
Outros autores: Berestneva O. G. Olga Grigorievna, Lyzin I. A. Ivan Alexandrovich, Sharopin K. A. Konstantin Aleksandrovich, Berestneva E. V. Elena Viktorovna, Polisadova A. I. Alena, Petrova L. A. Lyudmila, Stepanenko N. P. Nina Petrovna
Summary:Title screen
The aim of the research is to apply methods of structural analysis of multidimensional data using different approaches to visualizing the results of experimental studies. To solve applied 1607 problems, the authors used NovoSparkVisualizer (demo) system, as well as the R scripting language. The leading approach to the study of this problem is the mapping of multidimensional experimental data in the form of generalized graphic images on the basis of original methods and approaches developed by the authors. The paper presents the results of solving two applied problems illustrating the effectiveness of the method for visualization of multidimensional experimental data: 1) analysis of the dynamics of the physiological state of pregnant women; 2) study of breathing parameters in patients with bronchial asthma. In the first case, the use of cognitive graphics tools made it possible to propose an effective way of displaying the dynamics of the state of the bio-object (for example, comparing the patient's condition before and after treatment). In the second case, it helped to reveal some previously unknown patterns of physiological response of the bronchial-pulmonary system to psycho-physiological exposure. The results of the research allow the authors to state that the methods and approaches presented in the paper can be regarded as promising directions in the analysis and presentation of multidimensional experimental data.
Idioma:inglés
Publicado: 2020
Subjects:
электронный ресурс
труды учёных ТПУ
visualization methods
cognitive graphics
cluster analysis
spectral representations
визуализация
когнитивная графика
кластерный анализ
спектральные представления
Acceso en liña:https://www.archives.palarch.nl/index.php/jae/article/view/4876
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=664387

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