Spectral Analysis of Forest Fire Noise for Early Detection using Wireless Sensor Networks; Control and Communications (SIBCON)

Dades bibliogràfiques
Parent link:Control and Communications (SIBCON).— 2016.— [4 p.]
Autor principal: Khamukhin A. A. Aleksandr Anatolievich
Autor corporatiu: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра информатики и проектирования систем (ИПС)
Altres autors: Bertoldo S. Silvano
Sumari:Title screen
Crown fires are extremely dangerous, very difficultto fight and often have a rate of spread over 100 times more thana surface fire. Therefore, it is important to determine the type offorest fire in the early detection based on wireless sensor networks (WSNs) to adopt the proper strategy to fight the fire. It is shownthat this could be done analyzing the noise power spectrum offorest fires: surface fires noise spectrum can be modeled as the rednoise (gradual increase of trend line amplitude toward lowerfrequencies), while for crown fires noise spectrum trend line hasan almost bell-shaped (Gaussian) type. The noise frequency rangeis relatively narrow for crown fires and ranged from 250 to 450Hz. The intermediate type of fires (strong surface fire andincipient crown fire) has a transient noise spectrum frombroadband red to narrowband Gaussian. The article presents thespectrums of 9 different forest fires. The different trend line of theforest fire noise power spectrum is the parameter that can be usedto determine the type of forest fire in WSNs.
Idioma:anglès
Publicat: 2016
Col·lecció:Sensors and Systems of the Internet of Things
Matèries:
Accés en línia:http://dx.doi.org/10.1109/SIBCON.2016.7491654
Format: xMaterials Electrònic Capítol de llibre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=648806

MARC

LEADER 00000naa0a2200000 4500
001 648806
005 20250905133555.0
035 |a (RuTPU)RU\TPU\network\13965 
090 |a 648806 
100 |a 20160606d2016 k y0engy50 ba 
101 0 |a eng 
135 |a drcn ---uucaa 
181 0 |a i  
182 0 |a b 
200 1 |a Spectral Analysis of Forest Fire Noise for Early Detection using Wireless Sensor Networks  |f A. A. Khamukhin, S. Bertoldo 
203 |a Text  |c electronic 
225 1 |a Sensors and Systems of the Internet of Things 
300 |a Title screen 
320 |a [References: 15 tit.] 
330 |a Crown fires are extremely dangerous, very difficultto fight and often have a rate of spread over 100 times more thana surface fire. Therefore, it is important to determine the type offorest fire in the early detection based on wireless sensor networks (WSNs) to adopt the proper strategy to fight the fire. It is shownthat this could be done analyzing the noise power spectrum offorest fires: surface fires noise spectrum can be modeled as the rednoise (gradual increase of trend line amplitude toward lowerfrequencies), while for crown fires noise spectrum trend line hasan almost bell-shaped (Gaussian) type. The noise frequency rangeis relatively narrow for crown fires and ranged from 250 to 450Hz. The intermediate type of fires (strong surface fire andincipient crown fire) has a transient noise spectrum frombroadband red to narrowband Gaussian. The article presents thespectrums of 9 different forest fires. The different trend line of theforest fire noise power spectrum is the parameter that can be usedto determine the type of forest fire in WSNs. 
463 |t Control and Communications (SIBCON)  |o Proceedings of the XII International Siberian Conference, Moscow, May 12–14, 2016  |v [4 p.]  |d 2016 
610 1 |a электронный ресурс 
610 1 |a труды учёных ТПУ 
610 1 |a огонь 
610 1 |a лесные пожары 
700 1 |a Khamukhin  |b A. A.  |c specialist in the field of Informatics and computer engineering  |c Associate Professor of Tomsk Polytechnic University, candidate of technical sciences  |f 1954-  |g Aleksandr Anatolievich  |3 (RuTPU)RU\TPU\pers\33694  |9 17325 
701 1 |a Bertoldo  |b S.  |g Silvano 
712 0 2 |a Национальный исследовательский Томский политехнический университет (ТПУ)  |b Институт кибернетики (ИК)  |b Кафедра информатики и проектирования систем (ИПС)  |3 (RuTPU)RU\TPU\col\18697 
801 2 |a RU  |b 63413507  |c 20160727  |g RCR 
856 4 |u http://dx.doi.org/10.1109/SIBCON.2016.7491654 
942 |c CF