Organized by the
Organized in the framework of the 8th World Congress "Aviation in the 21st Century" – “Safety in Aviation and Space Technologies” (http://congress.nau.edu.ua/2016/en/)
by IEEE Ukraine Section Joint SP/AES Chapter (Kiev) and National Aviation University - Electronics Department and Institute of Air Navigation (http://ieee.nau.edu.ua/)
October 10-12, 2018, Kiev, Ukraine
The scientific program the Electronic Systems, Micro- and Nanosystem Technique, and IoT Electronic Technology Symposium (ESMNT-2018) consists of invited lectures and contributed oral presentations. Poster session will be organized, if the number of accepted papers exceeds capacity of rented rooms.
Conference language is English. Simultaneous translation is provided in case of necessity. Language of publications is only English.
Selected papers successfully presented at ESMNT-2018 will be recommended for publication as extended version in the international journals: “Telecommunications and Radio Engineering” (USA) (Indexed in Scopus and Web of Science), “International Journal of Microwave and Wireless Technology” (EuMA and Cambridge University Press, UK) (Indexed in Scopus and Web of Science), “Electronics and Control Systems” (Ukraine), “Bulletin of the National Aviation University” (Ukraine).
Modern Education and Computer Science Press (MECS), Hongkong.
All the participants of Electronic Systems, Micro- and Nanosystem Technique and IoT Electronic Technology Symposium will be kindly invited to visit the ХI International Aviation and Space Salon AVIASVIT-XXI.
Registration is closed.
Abstract Submission Date:
June 3, 2018 July 1
Notification of Acceptance:
July 17, 2018
Final Paper Submission Date:
August 15, 2018
October 10-12, 2018
The language of proceedings is English.
Materials submitted for publication should meet the requirements listed below:
– the volume of the article should not exceed 3-5 full pages. Paper size is A5 (148 x210 mm). Margins – 20 mm around;
– an article has to be typed in text editor Microsoft Word, font – Times New Roman – 9, single line space interval between lines.
UDC – left-aligned, space at the bottom 9 pt.
Information about authors – initials, surname, degree in science, in brackets – company, state. Text must be font 9, italic, right-aligned.
Title of the article – font 9, bold, left-aligned, space from above and below – 9 pt, without hyphenation.
Abstract (up to 50 words): font 8, italic, the text must be justified without the first line indent, space from left and right – 5mm, space from below – 9 pt, the text should not be longer than 5 lines.
The text of the article: font 9, first line indent of the paragraph is 10 mm, the text must be justified; captions to figures, font 9, numbering of the tables – font 9, italic, right-alignment; titles of the tables – font 9, the text must be centered; formulas – is recommended to use build-in Word for Windows Equation Editor.
Conclusion: title – font 9, bold, separate section (space from above – 9 pt, from below – 6pt, centered) or inside the text, text – font 9.
References: title (references) – font 9, bold, centered, space from above – 9 pt, from below – 6 pt; text must be typed as numbered list, space from the first line of the paragraph – 5mm, the text must be justified. References should include: author’s surname and initials, title of references, volume etc. – font 9.
Download the template
Reports will be not edited. Authors are responsible for the content of the report.
All contributions presented in oral and poster sessions will be published in the Conference Proceedings and CD. The Proceedings will be prepared directly from the papers supplied by authors, therefore careful preparation in accordance with the instructions is required. Selected papers successfully presented at ESMNT-2018 will be recommended for publication as extended version in the international journals: “Telecommunications and Radio Engineering” (USA) (Indexed in Scopus and Web of Science), “International Journal of Microwave and Wireless Technology” (EuMA and Cambridge University Press, UK) (Indexed in Scopus and Web of Science), “Electronics and Control Systems” (Ukraine), “Bulletin of the National Aviation University” (Ukraine).
Chairperson of ESMNT-2018 Conference
Professor Felix Yanovsky, IEEE Fellow, firstname.lastname@example.org
Coordinator of ESMNT-2018 Conference
Professor Yuliya Averyanova, IEEE Senior Member, email@example.com
Geert Leus received the M.Sc. and Ph.D. degree in Electrical Engineering from the KU Leuven, Belgium, in June 1996 and May 2000, respectively. Geert Leus is now an "Antoni van Leeuwenhoek" Full Professor at the Faculty of Electrical Engineering, Mathematics and Computer Science of the Delft University of Technology, The Netherlands. His research interests are in the broad area of signal processing, with a specific focus on wireless communications, array processing, sensor networks, and graph signal processing. Geert Leus received a 2002 IEEE Signal Processing Society Young Author Best Paper Award and a 2005 IEEE Signal Processing Society Best Paper Award. He is a Fellow of the IEEE and a Fellow of EURASIP. Geert Leus was a Member-at-Large of the Board of Governors of the IEEE Signal Processing Society, the Chair of the IEEE Signal Processing for Communications and Networking Technical Committee, a Member of the IEEE Sensor Array and Multichannel Technical Committee, and the Editor in Chief of the EURASIP Journal on Advances in Signal Processing. He was also on the Editorial Boards of the IEEE Transactions on Signal Processing, the IEEE Transactions on Wireless Communications, the IEEE Signal Processing Letters, and the EURASIP Journal on Advances in Signal Processing. Currently, he is the Vice-Chair of the EURASIP Special Area Team on Signal Processing for Multisensor Systems, an Associate Editor of Foundations and Trends in Signal Processing, and the Editor in Chief of EURASIP Signal Processing.
This talk will give an overview of the emerging field of graph signal processing, an extension of classical digital signal processing to signals defined on an irregular domain characterized by a graph. We will first introduce the graph Fourier transform which transforms a graph signal to a particular frequency domain that is defined by the graph. This transform allows us to process signals in the graph frequency domain, an operation known as graph filtering. Graph filters are direct analogues of time-domain filters, but intended for signals defined on graphs. In this talk, we will look at the family of finite impulse response (FIR) and infinite impulse response (IIR) graph filters and show how they can be implemented in a distributed manner. To further limit the communication and computational complexity, we also generalize the state-of-the-art distributed graph filters to filters whose weights show a dependency on the nodes sharing information. These so-called edge-variant graph filters yield significant benefits in terms of filter order reduction thereby leading to amenable communication and complexity savings. Next, the concepts of graph stationarity and the graph power spectrum are introduced, which facilitates the analysis and processing of random graph signals. This is a challenging task due to the irregularity of the underlying graph domain. However, it turns out that graph filters can be used to define stationary graph signals and their power spectrum. Methods for estimating the power spectrum are presented, which include nonparametric as well as parametric approaches. All presented methods are illustrated in synthetic and real-world graphs.