El proyecto Música para todos en el contexto de la educación continua en Yakutia

Autor: Irina B. Gorbunova, Oleg A. Spiridonov

Publikováno v: Propósitos y Representaciones, Vol 8, Iss 2, Pp e521-e521 (2020)

En 2013, el presidente de la República de Sakha (Yakutia), Mikhail Nikolaev, anunció el lanzamiento del proyecto republicano Música para todos. Los organizadores de este proyecto, el Ministerio de Educación y el Ministerio de Cultura y Espiritual

Externí odkaz: https://doaj.org/article/88663b8325944a39a274b32baa25bfbe

The Project Music for Everybody in the Context of Continuous Education in Yakutia

Autor: Irina B. Gorbunova, Oleg A. Spiridonov

Publikováno v: Propósitos y Representaciones. Journal of Educational Psychology; Vol. 8, Núm. 2 (2020): Mayo-Agosto: Comportamientos sociales y relaciones entre grupos; e521
Propósitos y Representaciones; Vol. 8, Núm. 2 (2020): Mayo-Agosto: Comportamientos sociales y relaciones entre grupos; e521
Revistas Universidad San Ignacio de Loyola
Universidad San Ignacio de Loyola
instacron:USIL

In 2013, President of the Republic of Sakha (Yakutia) Mikhail Nikolaev announced the launch of the republican project Music for Everybody. The organizers of this project –– the Ministry of Education and the Ministry of Culture and Spirituality of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ad62cd1a4c7100437d1ae6b6fa8ee94
https://doi.org/10.20511/pyr2020.v8n2.521

A Method of Optimizing the Rule Base in the Sugeno Fuzzy Inference System Using Fuzzy Cluster Analysis

Autor: Alexandra Ignatyeva, Viktor Kureychik, Viktor Soloviev, Andrey Vladimirovich Kovalev, Oleg B. Spiridonov, Vladimir V. Ignatyev

Publikováno v: International Review of Electrical Engineering (IREE). 15:316

This paper develops a method of optimizing the rule base in the Sugeno-type fuzzy inference system using fuzzy cluster analysis for the design problems of control systems for complex technical objects. A hybrid control model with sequential interacti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::511824540b7688e7328a6baba928502d
https://doi.org/10.15866/iree.v15i4.16545

Hybrid genetic‐paired‐permutation algorithm for improved VLSI placement

Autor: Vladimir V. Ignatyev, Andrey V. Kovalev, Oleg B. Spiridonov, Viktor M. Kureychik, Alexandra S. Ignatyeva, Irina B. Safronenkova

Publikováno v: ETRI Journal, Vol 43, Iss 2, Pp 260-271 (2020)

This paper addresses Very large‐scale integration (VLSI) placement optimization, which is important because of the rapid development of VLSI design technologies. The goal of this study is to develop a hybrid algorithm for VLSI placement. The propos

Externí odkaz: https://doaj.org/article/b409e4ed6a8b436da1ed068498dd62b9