Multilayered feed forward neural networks possess a number of properties which make them particularly suited to complex problems. Neural networks have been in use in numerous meteorological applications including weather forecasting. As Neural Networks are being more and more widely used in recent years, the need for their more formal definition becomes increasingly apparent. This paper present...

background: the role of temperature changes, as an environmental risk factor, in the human health status has been investigated in recent studies. accordingly, the present two-year study was conducted to evaluate the incidence of myocardial infarction (mi) in warm and cold seasons in ali-ibn abi talib hospital, rafsanjan, iran. materials and methods: in this descriptive and cross-sectional study...

The summer school was organized by the Dynamical Processes and Predictability Working Group (PDP WG) of THORPEX1. THORPEX is a 10-year international research and development program to accelerate improvements in the accuracy of one-day to two-week high impact weather forecasts for the benefit of society, the economy and the environment. The PDP WG provides the connection between the operational...

The knowledge of weather is useful for finding climate change over a period. In this present frame work uses 15 years of weather of Hyderabad city , data a real time the datasets collected from weather station. Weather data is a time series and multidimensional data. Outliers are the objects whose behavior is different from the rest. Outliers in weather data represent the cyclone, drought, seas...

We summarize the results of porting the numerical weather simulation code COSMO to different hybrid Cray HPC systems. COSMO was written in Fortran with MPI, and the aim of the refactoring was to support both many-core systems and GPU-accelerated systems with minimal disruption to the user community. With this in mind, different approaches were taken to refactor the different components of the c...

Maritime traffic volume in the Arctic is growing for several reasons: climate change is resulting in less ice in extent, duration, and thickness; economic drivers are inducing growth in resource extraction traffic, community size (affecting resupply) and adventure tourism. This dynamic situation, coupled with harsh weather, variable operating conditions, remoteness, and lack of straightforward ...

-In many industrial and trading activities such as navigation, mapping, power distribution, telecommunication, weather station, digital radio, industrial control systems and research centers,... one of the main exchanged information which has been transferred between different parts is time tag, indicats the precise time of action taking place. Synchronization between these tags is the main por...

The Ctadel code generator is a tool for the automatic generation of PDE based scientiic models and generates eecient code for various computational platforms from an independent high level language description. It was applied for the generation of code to compute the dynamical tendencies within the Hirlam weather forecast model. In this paper we will use Ctadel for the implementation of numeric...

The purpose of this paper is to present a novel contour code feature in conjunction with a rule based segmentation for cursive handwriting recognition. A heuristic segmentation algorithm is initially used to over segment each word. Then the prospective segmentation points are passed through the rule-based module to discard the incorrect segmentation points and include any missing segmentation p...

The Weather is a continuous, data-intensive, multidimensional, dynamic process that makes weather forecasting a formidable challenge. Weather forecasting involves predicting how the present state of the atmosphere will change. Climate is the long-term effect of the sun's radiation on the rotating earth's varied surface and atmosphere. The Day-byday variations in a given area constitute the weat...