Symbiotic simulation in industrial applications requires efficient connectivity between industrial processes and embedded legacy simulators. One main challenge is to handle heterogeneous system parameters like bandwidth, latency, redundancy, security and data representation. Moreover, data management needs to be improved in terms of unified access providing an interface to online, historical an...

A recent development of the Earth Simulator super parallel computer has made it possible to realized realistic 3-D simulations of high-frequency seismic wave propagations on a regional scale. Paralleling this development, the deployment of dense networks of strong ground motion instruments in Japan (K-NET and KiK-net) has now made it possible to directly visualize regional seismic wave propagat...

In recent years, digital reconstruction of cultural heritage provides an effective way of protecting historical relics, in which the modeling of surface reflection of historical heritage with high fidelity places a very important role. In this paper Gaussian process (GP) regression based approach is proposed to model the reflection properties of real materials, in which the simulation data gene...

In this paper, we propose a novel scenario forecasts approach which can be applied to a broad range of power system operations (e.g., wind, solar, load) over various forecasts horizons and prediction intervals. This approach is model-free and datadriven, producing a set of scenarios that represent possible future behaviors based only on historical observations and point forecasts. It first appl...

It is thoroughly acknowledged that the historical financial time series not linear, exhibits structural changes, and volatile. has been noticed in current literature because of existence breaks series, GARCH family models provide misleading results poor forecasts. Thus, it unavoidable to incorporate with nonlinearity conditional mean variance capture volatility dynamics more precisely than exis...