Abstract Experiment of time sequential pulse train synthesis using a layered and partially recurrent complex valued neural network is reported A half of the three layer complex valued neural network is used to generate sinusoidal oscillation and the other half to synthesize adaptively the intended pulse shapes and sequences Stable time sequential pulse signals are obtained after completion of l...

Train safety systems are complex and expensive, and changing them requires huge investments. Changes are evolutionary and small. Current developments, like faster high speed trains and a higher train density on the railway network, have initiated research on safety systems that can cope with the new requirements. This paper presents a novel approach for a safety subsystem that checks the compos...

Various challenges have emerged over several years of grammar engineering for the spoken dialogue interface to the Navy damage control simulator DC-Train and the Spoken Conversational Tutor SCoT-DC, which reviews DC-Train performance. The systems use two methods for finding interpretations for student utterances from the recognized string. First, a Gemini grammar interprets full strings into a ...

BACKGROUND Neurofeedback (NF) is a form of behavioural training aimed at developing skills for self-regulation of brain activity. Within the past decade, several NF studies have been published that tend to overcome the methodological shortcomings of earlier studies. This annotation describes the methodical basis of NF and reviews the evidence base for its clinical efficacy and effectiveness in ...

This paper proposes a thermal study of the catenary/pantograph interface for a train in motion. A 2.5D complex model of the pantograph strip has been defined and created by a coupling between a 1D and a 2D model. Experimental and simulation results are presented and with a comparison allow validating the 2.5D model. Some physical phenomena are described and presented with the help of the model ...

We have constructed a framework for analyzing passenger behaviors in public transportation systems as understanding these variables is a key to improving the efficiency of public transportation. It uses a large-scale dataset of trip records created from smart card data to estimate passenger flows in a complex metro network. Its interactive flow visualization function enables various unusual phe...

Over the last decade there has been an increasing interest on power drive train topologies for hybrid electric fuel cell vehicles. A review of previous publications revealed that little work provided direct comparisons between the topologies. This paper details the development of a simulation model that has formed the basis of an assessment of all the topologies, addressing the advantages and d...

TRACS is an established driver scheduling system [2, 3, 4, 6, 8, 9]. Its variant BusTRACS is being used by 29 bus companies, and TrainTRACS is being used by the train operator ScotRail. TrainTRACS has also been used in scheduling projects for several other train operators. As the transport operators start using the system, difficult problem issues arising from individual companies are carefully...