Inicio  /  Nauka ta Progres Transportu  /  Núm: 6 Par: 0 (2016)  /  Artículo
ARTÍCULO
TITULO

NETWORK TRAFFIC FORCASTING IN INFORMATION-TELECOMMUNICATION SYSTEM OF PRYDNIPROVSK RAILWAYS BASED ON NEURO-FUZZY NETWORK

 Artículos similares

       
 
Alex Galis    
This paper presents a comprehensive set of design methods for making future Internet networking fully energy-aware and sustainably minimizing and managing the energy footprint. It includes (a) 41 energy-aware design methods, grouped into Service Operatio... ver más
Revista: Future Internet

 
Dong Jiang, Wenji Zhao, Yanhui Wang and Biyu Wan    
Traffic congestion is a globally widespread problem that causes significant economic losses, delays, and environmental impacts. Monitoring traffic conditions and analyzing congestion factors are the first, challenging steps in optimizing traffic congesti... ver más

 
Qiang Liu, Rui Han and Yang Li    
Idle bandwidth resources are inefficiently distributed among different users. Currently, the utilization of user bandwidth resources mostly relies on traditional IP networks, implementing relevant techniques at the application layer, which creates scalab... ver más
Revista: Future Internet

 
Sergio Jesús González-Ambriz, Rolando Menchaca-Méndez, Sergio Alejandro Pinacho-Castellanos and Mario Eduardo Rivero-Ángeles    
This paper presents the spectral gap-based topology control algorithm (SGTC) for wireless backhaul networks, a novel approach that employs the Laplacian Spectral Gap (LSG) to find expander-like graphs that optimize the topology of the network in terms of... ver más
Revista: Future Internet

 
Mengchi Xing, Haojiang Deng and Rui Han    
The 5G core network adopts a Control and User Plane Separation (CUPS) architecture to meet the challenges of low-latency business requirements. In this architecture, a balance between management costs and User Experience (UE) is achieved by moving User P... ver más
Revista: Future Internet