We investigate a novel adaptive fault-tolerant control method for time-varying failure in high-speed train computer systems and propose a fault model for such systems. First, the dynamics of high-speed train systems are analyzed and a multiple point-mass model is developed. When actuator outputs deviate from the expected value, a novel adaptive fault-tolerant control method based on Lyapunov st...

Generative adversarial learning is a popular new approach to training generative models which has been proven successful for other related problems as well. The general idea is to maintain an oracle D that discriminates between the expert’s data distribution and that of the generative model G. The generative model is trained to capture the expert’s distribution by maximizing the probability of ...

Predicting and understanding human motion dynamics has many applications, such as motion synthesis, augmented reality, security, and autonomous vehicles. Due to the recent success of generative adversarial networks (GAN), there has been much interest in probabilistic estimation and synthetic data generation using deep neural network architectures and learning algorithms. We propose a novel sequ...

Coherence is a fundamental tool in the analysis of neuronal data and for studying multiscale interactions of single and multiunit spikes with local field potentials. However, when the coherence is used to estimate rhythmic synchrony between spiking and any other time series, the magnitude of the coherence is dependent upon the spike rate. This property is not a statistical bias, but a feature o...

R ecently there’s been a push among some of our clients to start bringing 3d imaging systems in-house. In the majority of cases the client wants my company to provide some form of training to help them get off on the right foot. Although we are in the consulting business, training is a different animal. We’ve worked for years, continuously refining our processes and tools, investing in R&D and ...

In recent years, train speeds have been increased for earlier arrival times as part of efforts to improve service to travelers. Meanwhile, the speed of train drafts (the winds generated when trains pass by station platforms) increases in proportion to the train speed. JR companies have therefore deployed adequate safety measures such as the installation of platform doors and aerodynamic optimiz...

In this paper we present the deadlock avoidance approach used in the design of the scheduling kernel of an Automatic Train Supervision (ATS) system. The ATS that we have designed prevents the occurrence of deadlocks by performing a set of runtime checks just before allowing a train to move further. For each train, the set of checks to be performed at each step of progress is retrieved from stat...

The provisioning of wireless data services in the railway environment will become increasingly important for train operators and train constructors in the upcoming years. In this paper, we present models to predict train-to-wayside wireless data communications characteristics in terms of throughput, jitter, and packet loss predictions for 2G/3G networks. To this end, an extensive measurement ca...

High speed maglev is one of the most important reformations in the ground transportation systems because of its no physical contact nature. This paper intends to study the dynamic response of the single-span guideway induced by moving maglev train. The dynamic model of the maglev train-guideway system is established. In this model, a maglev train consists of three vehicles and each vehicle is r...