Acceso al sitio web del Consejo de Políticas de Infraestructura

   
Redirigiendo al acceso original de articulo en 19 segundos...
Inicio  /  Nauka ta Progres Transportu  /  Núm: 20 Par: 0 (2008)  /  Artículo
ARTÍCULO
TITULO

TO THE QUESTION ABOUT THE USE OF DC TRACTION MOTORS SYSTEM OF THE ELECTRIC ROLLING STOCK OF THE RAILWAYS

L. V. Dubynets    
O. L. Marenych    
A. M. Mukha    

Resumen

Issues of expediency of using the DC traction engines on multi-system electric railway rolling stock are considered in the paper.

Palabras claves

PÁGINAS
pp. 49 - 53
MATERIAS
INFRAESTRUCTURA

 Artículos similares

       
 
John T. Van Stan II and Juan Pinos    
Plant canopies divert a portion of precipitation to the base of their stems through ?stemflow?, a phenomenon that influences the canopy water balance, soil microbial ecology, and intrasystem nutrient cycling. However, a comprehensive integration of stemf... ver más
Revista: Water

 
Lukas Hausberger, Jounes Lutterbach and Florian Gschösser    
Previous studies of road or railway infrastructures have shown that traffic emissions outweigh the environmental impacts of the product stage and construction stage over the entire life cycle. Traffic usage is therefore the main emitter over the life cyc... ver más
Revista: Buildings

 
Yuzhe Liu, Libo Chen, Yusu Xu and Jingqiu Yang    
Contemporary studies largely concentrate on the physical aspects of architecture, yet within the sphere of design, the gap between user experience and the designer?s intention is an undeniable fact. This gap, illustrating the contrast between the spatial... ver más
Revista: Buildings

 
Maxim Kolomeets, Olga Tushkanova, Vasily Desnitsky, Lidia Vitkova and Andrey Chechulin    
This paper aims to test the hypothesis that the quality of social media bot detection systems based on supervised machine learning may not be as accurate as researchers claim, given that bots have become increasingly sophisticated, making it difficult fo... ver más

 
Jing Liu, Xuesong Hai and Keqin Li    
Massive amounts of data drive the performance of deep learning models, but in practice, data resources are often highly dispersed and bound by data privacy and security concerns, making it difficult for multiple data sources to share their local data dir... ver más
Revista: Future Internet