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

গ্রন্থ-পঞ্জীর বিবরন
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]
সংস্থা লেখক: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение информационных технологий
অন্যান্য লেখক: 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
সংক্ষিপ্ত: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
ভাষা:ইংরেজি
প্রকাশিত: 2021
মালা:Advances in Intelligent Systems and Computing book series
বিষয়গুলি:
অনলাইন ব্যবহার করুন:https://doi.org/10.1007/978-3-030-47024-1_22
বিন্যাস: বৈদ্যুতিক গ্রন্থের অধ্যায়
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663169

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