Redirigiendo al acceso original de articulo en 23 segundos...
Inicio  /  Nauka ta Progres Transportu  /  Núm: 34 Par: 0 (2010)  /  Artículo
ARTÍCULO
TITULO

APPLICATION OF METHODS OF COMPUTER GRAPHICS IN TECHNICAL DIAGNOSTICS OF RAILWAY ROLLING STOCK

A. L. Pulariya    
M. E. Serdyuk    

Resumen

The problem of processing images obtained as a result of digital photographing during the railway rolling stock technical diagnostics, using the method of skeleton interpolation, is considered.

 Artículos similares

       
 
Liangtian Wang, Jie Zhou, Yuexin Chang and Hao Xu    
In recent years, electrochemical descaling technology has gained widespread attention due to its environmental friendliness and ease of operation. However, its single-pass removal efficiency could be higher, severely limiting its practical application. T... ver más
Revista: Water

 
Marcin Michalak, Jacek Baginski, Andrzej Bialas, Artur Kozlowski and Marek Sikora    
This paper presents a generic component for Analytic Hierarchy Process (AHP)-based decision support in risk management. The component was originally dedicated to railway transportation issues; however, its generality enabled it to extend its functionalit... ver más
Revista: Infrastructures

 
Liufeng Tao, Kai Ma, Miao Tian, Zhenyang Hui, Shuai Zheng, Junjie Liu, Zhong Xie and Qinjun Qiu    
The efficient and precise retrieval of desired information from extensive geological databases is a prominent and pivotal focus within the realm of geological information services. Conventional information retrieval methods primarily rely on keyword matc... ver más

 
Esra Billur Balcioglu Ilhan, Fatih Ilhan, Ugur Kurt and Kaan Yetilmezsoy    
The use of various advanced oxidation methods in the treatment of wastewater has become the subject of many studies published in recent years. In particular, it is exceedingly significant to compare these treatment methods for industrial wastewater to re... ver más
Revista: Water

 
Omar Serghini, Hayat Semlali, Asmaa Maali, Abdelilah Ghammaz and Salvatore Serrano    
Spectrum sensing is an essential function of cognitive radio technology that can enable the reuse of available radio resources by so-called secondary users without creating harmful interference with licensed users. The application of machine learning tec... ver más
Revista: Future Internet