المؤلفون: Ristić, Slavica R., Polić, Suzana R., Knježević, Dragan M., Radojković, Bojana M., Linić, Suzana Lj., Jegdić, Bore V.

المصدر: Tehnika (2019) 74(5):623-629

مصطلحات موضوعية: optical microscopy, YAG laser [Nd], copper, printed circuit board, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, IC thermography, ComputingMethodologies_GENERAL, laser cleaning

الوصف: Innovative laser cleaning technology for various surfaces in the industry, includes an integrated approach to controlling the process of laser-material interaction and testing laser treatment results. Laser cleaning has significant advantages over conventional cleaning methods: it has high selectivity, precision, efficiency and reliability in an application for different types of materials. The thermal nature of the laser cleaning process brings a certain risk for cleaning objects, and the process optimization research is in the focus of interest of a large number of scientists. This paper presents the results of laser paint, on the copper surface, and the protective layer, on the printed circuit board, cleaning. The control of the real-time laser cleaning process was carried out using an infrared camera. The micromorphological characteristics of the cleaned surface were examined by optical microscopy.

وصف الملف: application/pdf; txt

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=scindeksserb::98fa863585e5f61561573bf4cff36f8cTest
http://scindeks.ceon.rs/article.aspx?artid=0040-21761905623RTest

المؤلفون: Milovanović, Miroslav B.

المساهمون: Antić, Dragan, Nikolić, Vlastimir, Mitić, Darko, Milojković, Marko, Stojanović, Sreten

المصدر: Универзитет у Нишу

مصطلحات موضوعية: endokrini faktor, Quantitative Biology::Neurons and Cognition, neural network, Computer Science::Neural and Evolutionary Computation, neuronska mreža, orthogonal functions, ortogonalne funkcije, ComputingMethodologies_GENERAL, endocrine factor, ANFIS

الوصف: The goal of the research in the PhD dissertation is control of dynamical systems by using new types of orthogonal endocrine neural networks, in order to improve their performances. Standard artificial neural networks are described, as well as their historical development and basic types of learning algorithms. Further, possibilities for neural networks applicability within control logic of dynamical systems are presented, as well as the current state of the art of orthogonal and endocrine neural networks. Performance improvement of the laboratory model of a servo system by using a standard neural network with the backpropagation type of learning is analyzed. In addition, a method for selection and optimization of training data, as an efficient way of information preprocessing for the purpose of improving performances of a neural network, is presented. A detailed description of orthogonal functions and implementation methods of endocrine factors inside standard neural networks are provided. By implementation of orthogonal activation functions of neurons, verification of their applicability in control of dynamical systems was performed. The laboratory model of the magnetic levitation system was used to test the designed orthogonal neural network. Furthermore, the endocrine orthogonal neural network based on the biological processes of excitation and inhibition is designed. Network performance checkup is performed by testing its predictive abilities when working with time series data. Final dissertation researches refer to development of hybrid systems. The implemented adaptive endocrine neuro-fuzzy hybrid system is tested through modeling of a laboratory servo system. Other hybrid structure, based on a combination of an orthogonal endocrine neural network and an orthogonal endocrine neuro-fuzzy hybrid system, is designed with the aim to form symbiosis of the positive characteristics of the individual networks. Verification of this structure was performed by using it for PID controller parameters adjustments.

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=nardusnacion::956496ea58d57e7f5ba92ec7756ae99cTest
https://nardus.mpn.gov.rs/bitstream/id/52335/Milovanovic_Miroslav_B.pdfTest

المؤلفون: Jelena Milovanovic, Mirjana Šijačić-Nikolić

المصدر: Glasnik Šumarskog Fakulteta: Univerzitet u Beogradu, Vol 2007, Iss 95, Pp 7-21 (2007)

مصطلحات موضوعية: Genetic diversity, General Computer Science, Mechanism (biology), business.industry, Environmental resource management, Forest management, Biodiversity, conservation, Biology, Forest genetic resources, genetic resources, Genetic resources, lcsh:SD1-669.5, ComputingMethodologies_GENERAL, lcsh:Forestry, business, Intact forest landscape, forest trees, biodiversity

الوصف: Forest genetic resources represent the genetic diversity contained in the thousands of species of forest trees on the earth. their conservation is a set of activities and strategies, which are performed in the aim of ensuring the continued existence, evolution and availability of these resources for the present and future generations. the aim of genetic resource management is the enhancement of conditions for the continual evolution of the species which is the defensive mechanism of the organisms in the struggle with environmental changes.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbfdd671525cfae01d4615aeec0cd6b0Test
http://www.doiserbia.nb.rs/img/doi/0353-4537/2007/0353-45370795007S.pdfTest