Research on Automatic Braking and Traction Control of High-speed Train Based on Neural Network

The research on hybrid drive and control technique of high-speed motorized spindle based on adaptive fuzzy neural network control

Thermal Simulation of Traction System for High-Speed Train Based on Heat Accumulation

Design of traction system is important to decide the dynamic configuration of high speed EMU. And one of the most important factors that determine the design of traction system is the thermal distribution of IGBT convertors. Thermal simulation of IGBT converter using a two-step methodology (temperature rise and thermal distribution) and its simulation results are presented in this paper [1]. Th...

Study on Braking Panels in High Speed Trains Using CFD

With speed increasing in high-speed trains, due to limitations of other types of brakes, aerodynamic brake has become an important braking method. In this task to make better use of brake’s panel different configurations are examined and the best panel shape which provides the reasonable drag coefficient is introduced. The results of simulations are carried out with the computational fluid dyna...

P63: Automatic Detection of Glioblastoma Multiforme Tumors Using Magnetic Resonance Spectroscopy Data Based on Neural Network

Inflammation has been closely related to various forms of brain tumors. However, there is little knowledge about the role of inflammation in glioma. Grade IV glioma is formerly termed glioblastoma multiform (GBM). GBM is responsible for over 13,000 deaths per year in the America. Magnetic resonance imaging (MRI) is the most commonly used diagnostic method for GBM tumors. Recently, use of the MR...

Neural Network-Based Learning Kernel for Automatic Segmentation of Multiple Sclerosis Lesions on Magnetic Resonance Images

Background: Multiple Sclerosis (MS) is a degenerative disease of central nervous system. MS patients have some dead tissues in their brains called MS lesions. MRI is an imaging technique sensitive to soft tissues such as brain that shows MS lesions as hyper-intense or hypo-intense signals. Since manual segmentation of these lesions is a laborious and time consuming task, automatic segmentation ...