Near-Realtime Quantitative Precipitation Estimation and Prediction (RealPEP)

Quantitative Precipitation Estimation and Quantitative Precipitation Forecasting by the Japan Meteorological Agency

Quantitative prediction of perceptual decisions during near-threshold fear detection.

A fundamental goal of cognitive neuroscience is to explain how mental decisions originate from basic neural mechanisms. The goal of the present study was to investigate the neural correlates of perceptual decisions in the context of emotional perception. To probe this question, we investigated how fluctuations in functional MRI (fMRI) signals were correlated with behavioral choice during a near...

Qualitative and Quantitative Analysis of Heparin during Precipitation by Near-Infrared Spectroscopy

Heparin is a glycosaminoglycan (GAG) that plays an important role in the blood coagulation system. Its quality is of great importance, so it is necessary to develop a fast analytical method during the manufacture process to analyse the quality of heparin produced. In this study, the heparin contents of 80 samples collected from five batches during the precipitation process were analysed using n...

Realtime 3D Motion Estimation on Graphics Hardware

3D motion estimation in image sequences is a major task in artificial intelligence systems such as robot navigation or driver assistance systems. This involves the estimation of the optical flow between consecutive image frames and also the 3D geometry of the scene. Several solution techniques for this problem have already been presented in the literature. They can be divided into feature and e...

Distributed Quantitative Precipitation Forecasting Using Information from Radar and Numerical Weather Prediction Models

The benefits of short-term (1–6 h), distributed quantitative precipitation forecasts (DQPFs) are well known. However, this area is acknowledged to be one of the most challenging in hydrometeorology. Previous studies suggest that the ‘‘state of the art’’ methods can be enhanced by exploiting relevant information from radar and numerical weather prediction (NWP) models, using process physics and ...