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INTELLIGENT RECOGNITION SYSTEM ОF NANOMATERIAL STRUCTURE AND PROPERTY FORECASTING

Abstract

The paper presents recognition results of nanomaterial structure and sensory properties while using a developed optical «electronic eye» (e-eye) «ISON-4» and an intelligent self-learning system «ISNM» with the purpose of non-invasive fast prediction of structurе, properties and quality in respect of nanomaterial production  during their synthesis and high-precision control of micro-nanosensory device manufacturing process.

About the Authors

V. M. Koleshko
Belarusian National Technical University
Belarus


E. A. Varabei
Belarusian National Technical University
Belarus


E. L. Prudnikova
Belarusian State University of Informatics and Radioelectronics
Belarus


References

1. Колешко, В. М. Мобильные телефоны, смартфоны и старение организма / В. М. Колешко, Е. А. Воробей, Н. А. Хмурович ; БНТУ. – Минск : Техническая литература, 2011. – 326 с. – Режим доступа:http://narod.ru/disk/60891222001.1a194c215d368816ac3278233cf250d9/monograph.pdf.html

2. Cинтез и свойства магнитно-функционализированных углеродных нанотрубок / А. С. Басаев [и др.] // Российские нанотехнологии. – 2008. – Т. 3, № 3–4. – С. 115–121.

3. Intelligent Systems in Technology of Precision Agriculture and Biosafety / V. M. Koleshko [et al.] // Intelligent Systems Edited by Vladimir M. Koleshko. – InTech, March, 2012. – P. 1–36. – Mode of access: http://www.intechopen.com/books/intelligent-systems/


Review

For citations:


Koleshko V.M., Varabei E.A., Prudnikova E.L. INTELLIGENT RECOGNITION SYSTEM ОF NANOMATERIAL STRUCTURE AND PROPERTY FORECASTING. Science & Technique. 2012;(5):22-27. (In Russ.)

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ISSN 2227-1031 (Print)
ISSN 2414-0392 (Online)