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Several approaches have been introduced in the field of information retrieval. Although these approaches are effective but sometimes they are not able to provide accurate information to the user. In this paper an ontology based approach of information retrieval has been presented that uses fuzzy set of various documents for a specific domain. An algorithm for fuzzy based classification of web documents...
The purpose of the research work presented here is to reduce the execution time of Arithmetic Coding. Arithmetic coding is a very efficient and most popular entropy coding technique used with most of the data compression methods. Arithmetic coding is based on cumulative probability of symbols. In implementations using integer arithmetic, it uses cumulative frequency/total frequency in place of cumulative...
This paper proposed an efficient text extraction algorithm in complex images. Earlier a number of methods have been proposed for text extraction in different types of images and video Text images. It elaborates a robust and efficient algorithm for text extraction in different types of text images. Essentially it works in three steps: edge map generation using Line edge detection mask, text area segmentation...
Random polygon Generation from a given set of points is very important for different applications. A heuristic termed as “GRP_AS” has been proposed here to generate a random simple polygon from a given set of ‘n’ points in 2-Dimensional plane. The “2-Opt Move” heuristic with time complexity O(n4) is the best known among the existing heuristics to generate a simple polygon. We recently designed another...
3D-Playfair cipher [1] is the multiple letter encryption cipher. Here the trigraphs in the plain text are treated as single units and converted into corresponding cipher text trigraphs. A group of 3 characters are known as trigraph. 3D-Playfair Ciphers came into focus due to the limitation of classical Playfair that it supports only alphabets and may not support “i” and “j” both alphabets at the same...
In the last decade or so the problem of Time Series Classification (TSC) has attained considerable research interests in both the Machine learning and Datamining community. In a TSC problem any real valued data is considered as a time series and the challenge is to find the best discriminating features based on the ordering of variables. Recently, the research interest has shifted to Time Series Shapelets...
Mobile Agent (MA) based distributed computing paradigm offers numerous benefits over the existing and commonly used client/server computing paradigm in wireless sensor networks (WSN). MA performs the task of data processing and data aggregation at the node level rather than at the sink, thus, eliminating the redundancy network overhead. One of the most important issues in MA based paradigm is planning...
Wireless sensor networks involve hundreds of small, inexpensive, resource constrained and battery powered sensor nodes. Once deployed, sensor nodes are unattainable, thus replacement of energy sources in network is not likely possible. Hence in order to improve the network lifetime, we need to enhance the energy efficiency. In this paper we propose Centralized Border Node based Cluster Balancing (CBCB)...
This paper presents a new approach to enhance the contrast of color images. The intensity component of Hue, Saturation and Intensity (HSV) color model is fuzzified using Global intensification operator (GINT). A new objective measure called contrast information factor is introduced which is optimized using particle swarm optimization technique to learn the parameters. The enhanced image is evaluated...
A two layer data hiding method for RGB color image has been proposed in this paper. It is an enhancement of Wu and Tsai's method (PVD) and J. K. Mandal's method (Color Image Steganography Based on Pixel Value Differencing in Spatial Domain). J. K. Mandal's method will be referred as “Color PVD” in this research paper. Proposed method is relatively secure and efficient in term of data hiding capability...
Cognitive radio is a technology used to improve spectrum utilization by allowing temporary access of unutilized licensed spectrum of primary user (PU) to the secondary user (SU). When the PU appears at the same channel occupied by a SU, the SU has to vacate the channel and find the new channel to resume its transmission. This process of changing a channel is nothing but a spectrum handoff. Spectrum...
Hybrid electric vehicles (HEVs) have gained much more attention recently due to declining fossil resources and greenhouse effect caused by COx and NOx emissions. Optimization of the parameters is a key element for the success of a HEV. Recently, Genetic Algorithm (GA) is widely applied in the optimization of HEV. Since it has conquered the deficiencies of the gradient-based optimization algorithms...
Let G = (V, E) be a connected, weighted, undirected graph such that |V| = n and |E| = m. Given a shortest path Pg (s, t) between a source node s and a sink node t in the graph G, computing the shortest path between source and sink without using a particular edge (or a particular node) in Pg(s, t) is called Replacement Shortest Path for that edge (or node). The Most Vital Edge (MVE) problem is to find...
Energy consumption management has become an essential concept in cloud computing. In this paper, we propose a new power aware load balancing, named Bee-MMT (artificial bee colony algorithm-Minimal migration time), to decline power consumption in cloud computing; as a result of this decline, CO2 production and operational cost will be decreased. According to this purpose, an algorithm based on artificial...
Histogram Equalization is no doubt, is one of the most effective technique to process the digital images for contrast enhancement, but not for all images. In some cases traditional histogram equalization can cause bad results. There is a remedy given in this paper that takes over the traditional histogram equalization which proposes a technique and according to that we have to modify our image. This...
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