The emerging cloud computing technology is the attention of both commercial and academic spheres. Generally, the cost of the faster resource is more than the slower ones, therefore, there is a trade-off between deadline and cost. In this paper, the authors propose a receiver initiated deadline...

In high performance computing, heterogeneous Multiprocessor Interconnection Networks (MINs) are used for processing of compute intensive applications. These applications are distributed on the heterogeneous computational processors of MINs arranged in specific geometrical shape. MINs are also...

This article describes how intuitionistic fuzzy sets theory, which is the generalisation of fuzzy sets theory, is a more suitable tool for dealing with imprecise information. The information provided by the decision maker is often imprecise in many situations. So, intuitionistic preference...

This article describes how modeling is an integral part of design and development of any system that provides the theoretical characterization of the system and helps in understanding the relations between various parameters of the system, before the system is developed. The capability of an...

Solving hard problems like the Travelling Salesman Problem (TSP) is a major challenge faced by analysts even though many techniques are available. The main goal of TSP is that a number of cities should be visited by a salesman and return to the starting city along a number of possible shortest...

This article applies a delay method and recursive analysis to reconstruct the phase space to study the evolution mechanism of atmospheric pollution, i.e., air quality monitoring. Based on the theory of chaos, it is proven that there are chaotic characteristics of factors influencing air quality....

At present, the fog and haze problem is intensified, which has a great impact on the production of enterprises and living of the residents. PM2.5 is an important indicator of air pollution and it also receives much concern. This article collects the reliable data of PM2.5 in the five industrial...

In Bioinformatics, sequence analysis is the basic important concept that provides information for structural and functional analysis. Multiple Sequence Alignment (MSA) is a keystone problem in the sequence analysis that is used for constructing phylogenetic tree, finding motif, gene expression,...

In this paper a predictor model using Legendre Neural Network is proposed for one day ahead prediction of financial time series data. The Legendre Neural Network (LENN) is a single layer structure that possess faster convergence rate and reduced computational complexity by increasing the...

In this paper novel method is proposed using hybrid of Genetic Algorithm (GA) and Back Propagation (BP) Artificial Neural Network (ANN) for learning of classification of user queries to cluster for effective Personalized Web Search. The GA- BP ANN has been trained offline for classification of...