Open source platform Digital Personal Assistant

Autor: Usachev, Denis, Khusnutdinov, Azat, Mazzara, Manuel, Khan, Adil, Panchenko, Ivan

Nowadays Digital Personal Assistants (DPA) become more and more popular. DPAs help to increase quality of life especially for elderly or disabled people. In this paper we develop an open source DPA and smart home system as a 3-rd party extension to s

Externí odkaz: http://arxiv.org/abs/1801.03650

The radioastronomical 'Time Machine' effect and the solution of gamma ray bursts mystery

Autor: Lipunova, Galina V., Lipunov, Vladimir M., Panchenko, Ivan E.

Publikováno v: New Astron. 2 (1997) 555-558

The possible low-frequency radio emission from the progenitors of gamma ray bursts can experience a delay from tens of seconds to hours on the way to the observer due to the dispersion in galactic and extragalactic plasma, and thus reach the observer

Externí odkaz: http://arxiv.org/abs/astro-ph/9706074

Pulsars revived by gravitational waves

Autor: Lipunov, Vladimir M., Panchenko, Ivan E.

Publikováno v: Astron.Astrophys.312:937,1996

Binary neutron stars mergers that are expected to be the most powerful source of energy in the Universe definitely exist in nature, as is proven by the observed behavior of the Hulse-Taylor binary radio pulsar. Though most of energy in such events is

Externí odkaz: http://arxiv.org/abs/astro-ph/9608155

Application of Machine Learning Methods for Biometric Identification by Iris

Autor: Panchenko, Ivan Oleksandrovych, Ivanko, Kateryna Olehivna, Ivnushkina, Nataliia Heorhiivna

Publikováno v: Microsystems, Electronics and Acoustics; Том 24, № 4 (2019); 40-47
Микросистемы, Электроника и Акустика; Том 24, № 4 (2019); 40-47
Мікросистеми, Електроніка та Акустика; Том 24, № 4 (2019); 40-47

The paper is devoted to the application of machine learning methods for biometric identification of the iris. for biometric identification of a person by iris recognition. In order to investigate the possibilities of machine learning for the iris rec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=scientific_p::ebdedc1c6e52d00188cf97124a8b405c
http://elc.kpi.ua/article/view/186842

Depth Camera Based on Color-Coded Aperture.

Autor: Paramonov, Vladimir, Panchenko, Ivan, Bucha, Victor, Drogolyub, Andrey, Zagoruyko, Sergey

Publikováno v: 2016 IEEE Conference on Computer Vision & Pattern Recognition Workshops (CVPRW); 2016, p910-918, 9p