The prediction of weather generally means the solution of differential equations on the base of the measured initial conditions where the data of close and distant neighboring points are used for the calculations. It requires the maintenance of expensive weather stations and supercomputers. However, if weather stations are not only capable of measuring but can also communicate with each other, ...

China Meteorological Administration (CMA) and regional centers have developed their own Numerical Weather Prediction (NWP) operation systems, which work process is complicated, including data preprocessing, analysis, model forecast, post-processing, visualization and other aspects but were lack of a unified management and monitoring. Based on the demands of NWP operation systems, this article g...

The first geostationary sensors produced dramatic images of storms on short time scales, permitting their evolution to be monitored as never before. Prediction of weather now benefits from numerical weather prediction models, which require temperature and humidity inputs from soundings. Significant weather is often located in cloudy areas where infrared (IR) soundings are degraded or fail, and ...

High resolution computational weather models are becoming increasing complex. However, the analysis of these models has not benefited from recent advancements in volume visualization. This case study applies the ideas and techniques from multi-dimensional transfer function based volume rendering to the multivariate weather simulations. The specific goal of identifying frontal zones is addressed...

Orthology is a powerful refinement of homology that allows us to describe more precisely the evolution of genomes and understand the function of the genes they contain. However, because orthology is not concerned with genomic position, it is limited in its ability to describe genes that are likely to have equivalent roles in different genomes. Because of this limitation, the concept of 'positio...

Recent research aims to automatically predict whether peer feedback is of high quality, e.g. suggests solutions to identified problems. While prior studies have focused on peer review of papers, similar issues arise when reviewing diagrams and other artifacts. In addition, previous studies have not carefully examined how the level of prediction granularity impacts both accuracy and educational ...

In this paper, a new method for PPI (proteinprotein interaction) prediction is proposed. In PPI prediction, a reliable and sufficient number of training samples is not available, but a large number of unlabeled samples is in hand. In the proposed method, the denoising autoencoders are employed for learning robust features. The obtained robust features are used in order to train a classifier wit...