Authors:Khalid Kahloot, Kristof Csorba, and Peter Ekler
The study of respiratory forms a major application and publication in the medical field. It characterizes the abnormalities in the breathing pattern, which assists in selecting the appropriate treatment methods. In some cases, respiratory characteristics unravel and point out potential diseases. A medical team gathered data from randomly selected recruits. A huge dataset was prepared, which capture the volume and velocity of the breathed air from the target recruits. This paper presents the results of carrying out some of the signal processing, dimension reduction, and data mining techniques over this dataset. In particular, convolution filter, singular value decomposition and density-based spatial clustering of applications with noise were applied. Inhaling behaviors have been categorized into nine groups but with stochastic noise. Some of the groups are big enough and distinguishable to evaluate with the use of eight types of inhalers the model for velocity versus volume of inhaling. Results will be considered by the medical team for choosing the appropriate inhaler out of five types of inhalers appropriate for each group.
Authors:Endre Salamon, Zoltan Goda, and Tamás Berek
, Gerlei I. , Melenyecz J.
Exceprts from military water treatment research (in years of 1970 and 1980), with special regard to the reverse osmosis, Part I , (in Hungarian), Haditechnika , Vol. 51
National Development Agency guidance document, Environment and Energy Operative Program N o 1.1.1/2F/09-11 (in Hungarian) 2009.
Kiss T., Olessák D. Treatment methods of municipal solid waste and possibilities of their
Authors:Ivana Marko, Danka Barloková, and Ján Ilavský
, Vohra, M. S.
Recent developments in aqueous phase bromate (Bro3 -) species treatment using adsorption, reduction, and ion-exchange processes , Desalination and Water Treatment , Vol. 80 , 2017 , pp. 3 – 267 .
Authors:Lucia Kidalova, Eva Terpakova, and Nadezda Stevulova
Pehanich J. L., Blankenhorn P. R., Silsbee M. R. Wood fiber surface treatment level effects on selected mechanical properties of wood fiber-cement composites, Cement and Concrete Research , Vol. 34, 2004, pp. 59