https://newinera.com/index.php/JournalLaMultiapp/issue/feed Journal La Multiapp 2021-09-27T09:57:19+07:00 Urfan Taghiyev u.taghiyev@newinera.com Open Journal Systems <p>International <strong>Journal La Multiapp</strong> ISSN 2721-1290 (Online) and ISSN 2716-3865 (Print) includes all the areas of research activities in all fields Engineering, Technology, Computer Sciences, A<span class="tlid-translation translation" lang="en"><span class="" title="">rchitect</span></span>, Applied Biology, Applied Chemistry, Applied Physics, Material Engineering, Civil Engineering, Military and Defense Studies, Photography, Cryptography, Electrical Engineering, Electronics, Environment Engineering, Computer Engineering, Software Engineering, Electromechanical Engineering, Transport Engineering, Mining Engineering, Telecommunication Engineering, Aerospace Engineering, Food Science, Geography, Oil &amp; Petroleum Engineering, Biotechnology, Agricultural Engineering, Food Engineering, Material Science, Earth Science, Geophysics, Meteorology, Geology, Health and Sports Sciences, Industrial Engineering, Information and Technology, Social Shaping of Technology, Journalism, Art Study, Artificial Intelligence, and other Applied Sciences.</p> https://newinera.com/index.php/JournalLaMultiapp/article/view/394 IoT Based Image Processing Filters 2021-09-27T09:57:15+07:00 noor abbas noorabbas.klmn2@gmail.com Mohamed Ibrahim Shujaa noorabbas.klmn2@gmail.com Entithaar Mhwes Zghair noorabbas.klmn2@gmail.com <p><em>Internet of things (IoT) becomes the backbone of the advanced countries and it has a real contribute to exchange the traditional style or way of practical life, even personal life into smart style, with (IoT) technology the life become more and more easy and professional. internet of things achieves various applications coordinate with sensors and standard protocols to apply what is called machine -to- machine connection (M2M), in this paper we will talk more about the concept of (M2M), the main component of internet of things and finally the common protocols that is used in network, in addition to that this work present an IOT operation with processing system using camera for capturing image and Xilinx system generator(XSG)models for designing&nbsp; image processing algorithms and the result of&nbsp; the processing is an image with black and white for edge detection and Thresholding models&nbsp; and gray color image for gray enhancement model.</em></p> 2021-09-27T09:40:57+07:00 Copyright (c) 2021 Journal La Multiapp https://newinera.com/index.php/JournalLaMultiapp/article/view/415 Adequate Correlation between the Physical and Mechanical Properties of Glass Foam 2021-09-27T09:57:13+07:00 Lucian Paunescu lucianpaunescu16@gmail.com Sorin Mircea Axinte sorinaxinte@yahoo.com Marius Florin Dragoescu mar_dmf@yahoo.com Felicia Cosmulescu feliss2014@gmail.com <p><em>The paper presents experimental results obtained in the manufacturing process of a glass foam by adequate correlation between its physical and thermal properties (density, porosity, thermal conductivity) and mechanical (compressive strength) by a slight controlled overheating of the foamed material. Using a powder mixture of glass waste (87-91.5 %), coal fly ash (3-9 %) and silicon carbide (4-5.5 %) microwave heated at 935-975 ºC by this unconventional technique, constituting the originality of the work, was obtained a glass-ceramic foam with moderate compressive strength (1.8-2.6 MPa) and very low thermal conductivity (0.058-0.070 W/m·K). The material overheating generated a homogeneous porous structure characterized by closed cells with relatively large dimensions (without the tendency to join neighboring cells) making it difficult to transfer heat across the material. The foamed product is suitable for the manufacture of thermal insulation blocks for the inner or outer walls of the building without excessive mechanical stress, being an advantageous alternative by comparison with known types of polymeric or fiberglass thermal insulation materials.</em></p> 2021-09-27T09:45:09+07:00 Copyright (c) 2021 Journal La Multiapp https://newinera.com/index.php/JournalLaMultiapp/article/view/444 Survey on CNN based super resolution methods 2021-09-27T09:57:19+07:00 Rafaa Amen Kazem rafaaamen14@gmail.com Jamila H. Suad rafaaamen14@gmail.com Huda Abdulaali Abdulbaqi rafaaamen14@gmail.com <p><em>Super Resolution is a field of image analysis that focuses on boosting the resolution of photographs and movies without compromising detail or visual appeal, instead enhancing both. Multiple (many input images and one output image) or single (one input and one output) stages are used to convert low-resolution photos to high-resolution photos. The study examines super-resolution methods based on a convolutional neural network (CNN) for super-resolution mapping at the sub-pixel level, as well as its primary characteristics and limitations for noisy or medical images.</em></p> 2021-09-27T00:00:00+07:00 Copyright (c) 2021 Journal La Multiapp