Reduction of data processing error of heterogeneous system laser sensing; Proceedings of SPIE; Vol.10833 : 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

Dades bibliogràfiques
Parent link:Proceedings of SPIE
Vol.10833 : 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics.— 2018.— [108332Z, 6 p.]
Autor corporatiu: Национальный исследовательский Томский политехнический университет Инженерная школа ядерных технологий Отделение ядерно-топливного цикла
Altres autors: Dudorov V. V. Vadim Vitaljevich, Myshkin (Mishkin) V. F. Vyacheslav Fedorovich, Khan V. A. Valery Alekseevich, Izhoykin D. A. Dmitry Aleksandrovich, Gamov D. L. Denis Leonidovich, Lenskii V. N. Vladimir Nikolaevich, Abramova E. S. Evgeiya, Orazymbetova A. K. Aygul Kanybekovna, Ospanova N. A. Nurzhamal Akbaevna, Kargulova A. N. Alia Nurymovna
Sumari:Title screen
Modern research devices allow obtaining a large amount of information in remote laser sensing of atmospheric aerosols. However, the increase in the data volume processed by the Fredholm integral equation of the first kind increases the processing time non-linearly. The paper describes a method using known algorithms for integral equation processing with the data of aerosols laser sensing. The use of several samples from the transmission spectrum at more than 1000 wavelengths makes it possible to determine the dispersed particles sizes in a short time with an acceptable error. The developed algorithm is approved for determining the granulometric composition of laboratory heterogeneous systems. The results of laser diagnostics and the particle sizes determined from the electron microscope images were compared.
Режим доступа: по договору с организацией-держателем ресурса
Idioma:anglès
Publicat: 2018
Matèries:
Accés en línia:https://doi.org/10.1117/12.2506127
Format: xMaterials Electrònic Capítol de llibre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=664328

MARC

LEADER 00000naa2a2200000 4500
001 664328
005 20250318100423.0
035 |a (RuTPU)RU\TPU\network\35512 
035 |a RU\TPU\network\29313 
090 |a 664328 
100 |a 20210409d2018 k||y0rusy50 ba 
101 0 |a eng 
102 |a US 
135 |a drcn ---uucaa 
181 0 |a i  
182 0 |a b 
200 1 |a Reduction of data processing error of heterogeneous system laser sensing  |f V. V. Dudorov, V. F. Myshkin (Mishkin), V. A. Khan [et al.] 
203 |a Text  |c electronic 
300 |a Title screen 
320 |a [References: 14 tit.] 
330 |a Modern research devices allow obtaining a large amount of information in remote laser sensing of atmospheric aerosols. However, the increase in the data volume processed by the Fredholm integral equation of the first kind increases the processing time non-linearly. The paper describes a method using known algorithms for integral equation processing with the data of aerosols laser sensing. The use of several samples from the transmission spectrum at more than 1000 wavelengths makes it possible to determine the dispersed particles sizes in a short time with an acceptable error. The developed algorithm is approved for determining the granulometric composition of laboratory heterogeneous systems. The results of laser diagnostics and the particle sizes determined from the electron microscope images were compared. 
333 |a Режим доступа: по договору с организацией-держателем ресурса 
461 1 |0 (RuTPU)RU\TPU\network\12028  |t Proceedings of SPIE 
463 |t Vol.10833 : 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics  |o 2-5 July 2018  |v [108332Z, 6 p.]  |d 2018 
610 1 |a электронный ресурс 
610 1 |a труды учёных ТПУ 
610 1 |a aerosol 
610 1 |a dust 
610 1 |a transmission spectrum 
610 1 |a selection 
610 1 |a integral equation 
610 1 |a reliability 
610 1 |a аэрозоли 
610 1 |a пыль 
610 1 |a спектры пропускания 
610 1 |a интегральные уравнения 
610 1 |a отбор 
610 1 |a надежность 
610 1 |a погрешности 
610 1 |a обработка данных 
610 1 |a лазерное зондирование 
610 1 |a гетерогенные системы 
701 1 |a Dudorov  |b V. V.  |g Vadim Vitaljevich 
701 1 |a Myshkin (Mishkin)  |b V. F.  |c Physicist  |c Professor of Tomsk Polytechnic University, Doctor of physical and mathematical sciences  |f 1962-  |g Vyacheslav Fedorovich  |3 (RuTPU)RU\TPU\pers\31492  |9 15653 
701 1 |a Khan  |b V. A.  |c physicist  |c Associate Professor of Tomsk Polytechnic University, Doctor of technical sciences  |f 1952-  |g Valery Alekseevich  |3 (RuTPU)RU\TPU\pers\31988  |9 16048 
701 1 |a Izhoykin  |b D. A.  |g Dmitry Aleksandrovich 
701 1 |a Gamov  |b D. L.  |c physicist  |c deputy chief of Tomsk Polytechnic University  |f 1987-  |g Denis Leonidovich  |3 (RuTPU)RU\TPU\pers\40319  |9 21293 
701 1 |a Lenskii  |b V. N.  |g Vladimir Nikolaevich  |c Specialist in the field of military science  |c Teacher of Tomsk Polytechnic University  |f 1963-  |3 (RuTPU)RU\TPU\pers\32248  |9 16237 
701 1 |a Abramova  |b E. S.  |g Evgeiya 
701 1 |a Orazymbetova  |b A. K.  |g Aygul Kanybekovna 
701 1 |a Ospanova  |b N. A.  |g Nurzhamal Akbaevna 
701 1 |a Kargulova  |b A. N.  |g Alia Nurymovna 
712 0 2 |a Национальный исследовательский Томский политехнический университет  |b Инженерная школа ядерных технологий  |b Отделение ядерно-топливного цикла  |3 (RuTPU)RU\TPU\col\23554 
801 2 |a RU  |b 63413507  |c 20210414  |g RCR 
856 4 |u https://doi.org/10.1117/12.2506127 
942 |c CF