In this paper we propose a simple powerful method to increase search performance in large p2p-network communities, especially, but not limited to Internet. Our approach is based on introducing common functional language methods “map” and “reduce” in distributed network environment. The method exploits different connectivity levels of p2p nodes, dividing them into two groups – master nodes, perf...

In the theory of integer least-squares ambiguity estimation and validation, a central role is played by the ambiguity search space. In this contribution, the significance of the volume of the ambiguity search space is discussed and analyzed. It is shown how the volume can be used as an estimate for the number of grid points inside the GPS ambiguity search space. This is done for various measure...

Recent developments in strategies and software tools for overset structured grid generation and domain connectivity are described. A scripting approach based on a library of grid generation script macros is adopted to speed up the grid generation process. Advances in this method involve the development of high level functions that encapsulate more complex grid generation tasks. Sample applicati...

The selection of hyper-parameters is critical in Deep Learning. Because of the long training time of complex models and the availability of compute resources in the cloud, “one-shot” optimization schemes – where the sets of hyper-parameters are selected in advance (e.g. on a grid or in a random manner) and the training is executed in parallel – are commonly used. [1] show that grid search is su...

Diagnosing the cardiovascular disease is one of biggest medical difficulties in recent years. Coronary (CHD) a kind heart and blood vascular disease. Predicting this sort cardiac illness leads to more precise decisions for disorders. Implementing Grid Search Optimization (GSO) machine training models therefore useful way forecast sickness as soon possible. The state-of-the-art work tuning hyper...

Engineering design search and optimisation is a computationally expensive and data intensive process. Grid technology offers great potential to increase the efficiency of this process and many on-going activities focus on utilising computing resources on the grid. However, it is equally important to manage efficiently the vast amount of data produced by grid applications, so that data can be sh...

Aggregating various resources of different organizations, Grid provides excess computation power and storage capacity and is a trend to solve the computation-intensive engineering and mathematical problem. Because of the dynamic and heterogeneous characteristic of Grid system, scheduling algorithms make a vital difference to the efficiency of Grid. In this paper, a heuristic algorithm based on ...

Information retrieval offers resource discovery mechanisms for unstructured information and has thus been identified as a standardization goal by the open grid forum. We argue that an integration of information retrieval into the infrastructure is not only an interesting prospect for grid users, but is in fact necessary because the batch processing approach supported by the open grid service ar...