Intercriteria Analysis as Tool for Acoustic Monitoring of Forest for Early Detection Fires; Advances in Intelligent Systems and Computing; Vol. 1081 : Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives

Intercriteria Analysis as Tool for Acoustic Monitoring of Forest for Early Detection Fires; Advances in Intelligent Systems and Computing; Vol. 1081 : Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives

Bibliographic Details
Parent link:Advances in Intelligent Systems and Computing
Vol. 1081 : Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives.— 2021.— [P. 205-213]
Corporate Author: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники
Other Authors: Sonkin M. A. Mikhail Arkadjevich, Khamukhin A. A. Aleksandr Anatolievich, Pogrebnoy A. V. Aleksandr Vladimirovich, Marinov P. Pencho, Atanassova V. Vasa, Roeva O. Olimpia, Atanassov K. Krasimir, Alexandrov A. Alexandr
Summary:Title screen
The article considers the possibility of using of the acoustic monitoring of forests and the intercriterial analysis for the early detection of forest fires. It is shown that the sound from the acoustic emission of combustion becomes available for registration earlier than visual observation or registration using smoke or temperature sensors (at least in some cases).
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2021
Series:Advances in Intelligent Systems and Computing book series
Subjects:
электронный ресурс
труды учёных ТПУ
acoustic emission
acoustic signature
intercriterial analysis
signal detection
Online Access:https://doi.org/10.1007/978-3-030-47024-1_22
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663169

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