Search results for: air cleaning

• Appraisal of a hybrid air cleaning process

  Publication

  • M. Pierpaoli
  • C. Giosuè
  • M. Ruello
  • G. Fava

  - ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH - Year 2017

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• WATER AIR AND SOIL POLLUTION

  Journals

  ISSN: 0049-6979 , eISSN: 1573-2932

• AIP Conference Proceedings

  Journals

  ISSN: 0094-243X , eISSN: 1551-7616

• Pumping effect measured by PIV method in a multilayer spike electrode EHD device for air cleaning

  Publication

  • J. Podliński
  • A. Niewulis
  • A. Berendt
  • J. Mizeraczyk

  - IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS - Year 2013

  Dust particles can be harmful for human health when inhaled. Particularly dangerous are submicrometer dust particles, which can contain traces of toxic elements and can easily penetrate into the human respiratory system. Thus, efficient devices for the air cleaning from submicrometer dust particles are needed. Recently, Katatani and Mizuno have proposed an electrohydrody- namic (EHD) device for air cleaning for submicrometer particles....

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• Pumping effect measured by PIV method in multi-layer spike electrode EHD device for air cleaning

  Publication

  • J. Podlinski
  • A. Niewulis
  • A. Berendt
  • J. Mizeraczyk

  - Year 2012

  Dust particles can be harmful for human health when inhaled. Especially dangerous are submicron dust particles, which can contain traces of toxic elements and can easily penetrate into human respiratory system. Thus, new devices for air cleaning are needed. In this work the flow velocity field patterns measured by Particle Image Velocimetry (PIV) method in an electrohydrodynamic (EHD) device for air cleaning are presented. The...

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• Machine Learning and Text Analysis in an Artificial Intelligent System for the Training of Air Traffic Controllers

  Publication

  • T. Shmelova
  • Y. Sikirda
  • N. Rizun
  • V. Lazorenko
  • V. Kharchenko

  - Year 2020

  This chapter presents the application of new information technology in education for the training of air traffic controllers (ATCs). Machine learning, multi-criteria decision analysis, and text analysis as the methods of artificial intelligence for ATCs training have been described. The authors have made an analysis of the International Civil Aviation Organization documents for modern principles of ATCs education. The prototype...

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• Air Power History

  Journals

  ISSN: 1044-016X

• Air & Space Law

  Journals

  ISSN: 0927-3379 , eISSN: 1875-8339

• Clean Air Journal

  Journals

  ISSN: 1017-1703

• Air Force Magazine

  Journals

  ISSN: 0730-6784