Geodesic
Aviation industry stochastic model based on big data concept
Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, Tome 160 (2018) no. 2, pp. 392-398 Cet article a éte moissonné depuis la source Math-Net.Ru

Voir la notice du chapitre de livre

Modern aviation industry is a complex large-scale system that includes designing, testing, production, operation, maintains services, etc. Thus, it seems reasonable to provide information logistical support throughout the life cycle of single processes in this area. On the other hand, it allows building stochastic models to manage aviation industry in real-time mode under uncertainties and risks conditions. It is possible to apply this approach by using Big Data concept. The multi-agent method has been suggested to build the Markov decision process system model of the airline industry life cycle. For discovering the main control action to reduce costs of an airline company, the theoretic-information approach has been applied. The results of the analysis determine the agent action during the decision process to control the amount of freight related to fuel consumption.
Keywords: aviation industry, efficiency, stochastic model, decision making, Big Data. 
@article{UZKU_2018_160_2_a20,
     author = {S. S. Valeev and N. V. Kondratyeva},
     title = {Aviation industry stochastic model based on big data concept},
     journal = {U\v{c}\"enye zapiski Kazanskogo universiteta. Seri\^a Fiziko-matemati\v{c}eskie nauki},
     pages = {392--398},
     year = {2018},
     volume = {160},
     number = {2},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/UZKU_2018_160_2_a20/}
}
TY  - JOUR
AU  - S. S. Valeev
AU  - N. V. Kondratyeva
TI  - Aviation industry stochastic model based on big data concept
JO  - Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki
PY  - 2018
SP  - 392
EP  - 398
VL  - 160
IS  - 2
UR  - http://geodesic.mathdoc.fr/item/UZKU_2018_160_2_a20/
LA  - en
ID  - UZKU_2018_160_2_a20
ER  - 
%0 Journal Article
%A S. S. Valeev
%A N. V. Kondratyeva
%T Aviation industry stochastic model based on big data concept
%J Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki
%D 2018
%P 392-398
%V 160
%N 2
%U http://geodesic.mathdoc.fr/item/UZKU_2018_160_2_a20/
%G en
%F UZKU_2018_160_2_a20
S. S. Valeev; N. V. Kondratyeva. Aviation industry stochastic model based on big data concept. Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, Tome 160 (2018) no. 2, pp. 392-398. http://geodesic.mathdoc.fr/item/UZKU_2018_160_2_a20/

[1] Feiler P., Gabriel R. P., Goodenough J., Linger R., Longstaff T., Kazman R., Klein M., Northrop L., Schmidt D., Sullivan K., Wallnau K., Ultra-Large-Scale Systems: The Software Challenge of the Future, Carnegie Mellon Univ., Software Eng. Inst., Pittsburgh, 2006, xi+134 pp.

[2] Hu T.-C., Cabrera M. O., Volodin A., “Almost sure lim sup behavior of dependent bootstrap means”, Stochastic Anal. Appl., 24:5 (2006), 939–952 | DOI | MR | Zbl

[3] Anatolyev S., Vasnev A., “Markov chain approximation in bootstrapping autoregressions”, Econ. Bull., 3:19 (2002), 1–8

[4] Valeev S. S., “Big data technologies in aviation”, Proc. 2nd Int. Conf. Information Technologies for Intelligent Decision Making Support, 2014, 150–152

[5] Valeev S., Kondratyeva N., “Large scale system management based on Markov decision process and big data concept”, Proc. 2016 IEEE 10th Int. Conf. on Application of Information and Communication Technologies (AICT), 2016, 6–9 | DOI

[6] Valeev S., Kondratyeva N., “Distributed information and control system for emergencies in critical infrastructures”, Proc. 2016 IEEE 10th Int. Conf. on Application of Information and Communication Technologies (AICT), 2016, 58–61 | DOI

[7] Kondratyeva N., Valeev S., “Fatigue test optimization for complex technical system on the basis of lifecycle modeling and big data concept”, Proc. 2016 IEEE 10th Int. Conf. on Application of Information and Communication Technologies (AICT), 2016, 75–78 | DOI

[8] Kondratyeva N., Valeev S., “Technical safety system with self-organizing sensor system and fuzzy decision support system”, Proc. 2015 IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE), 2015, 1–4 | DOI

[9] Valeev S. S., Taimurzin M. I., Kondratyeva N. V., “An adaptive data acquisition system in technical safety systems”, Autom. Remote Control, 74:12 (2013), 2137–2142 | DOI