查看更多>>摘要：This paper introduces an innovative clustering protocol for load balancing in wireless sensor networks (WSNs). In the proposed protocol, square shape clusters of equal area are arranged in a multilayer fashion, and the base station is at the centre of the network. The equal area of square clusters offers a nearly equal number of member nodes in each cluster that leads to comparable energy consumption at cluster heads for transmitting and receiving data from member nodes. This paper also introduces a new routing approach in which hop selection is based on the difference of angle between the source and destination cluster heads with respect to a particular point. The efficiency of the proposed protocol concerning network lifetime and energy consumption is evaluated and compared with low-energy adaptive clustering hierarchy (LEACH), enhanced-modified LEACH (E-MODLEACH) and least distance clustering (LDC). The proposed protocol's efficiency is also evaluated for different optimisation algorithms.
查看更多>>摘要：Increasingly, eLearning has become a leading development trend in the industry. It has been observed that traditional learning methods have turned to modern and innovative learning. Due to a revolution in technology, everyone started learning by using the internet. They have been using online material for gaining instructions. So, while they procure the learning they admit certain records, which are not significant to answer all their exploratory questions. Ultimately, there was a huge delay while scrutinising the essential material on the internet, so there was an extremity to customise the search by acquiring certain information of a user to improve the search quality and save time. The recommended eLearning system is a case based system using a case-based reasoning approach and a distinct classification algorithmic rule to categorise the students' learning interest. This system assembles student's learning preferences from a distinct discussion and systematically categorises that characteristic into a learning standard.
查看更多>>摘要：In this paper, an efficient implicit Lagrangian twin bounded support vector machine based on fuzzy membership is proposed with the dual formulation in order to reduce the sensitivity of noise and outliers. Here, the fuzzy membership values are determined according to distribution of the samples. We adopt the quadric and centroid fuzzy-based approach for LTBSVM and propose quadric based fuzzy membership approach and centroid based fuzzy membership approach for LTBSVM. The problems make strongly convex by using L2-norm of the vector of slack variable. Also, the solution of the problem is obtained through simple linear convergent iterative approach. Further, comparative performance analysis of proposed approach with state of art approaches have been done on standard real life with artificial datasets. This analysis announces that proposed approaches are effective in terms of generalisation performance and computational speed to other approaches. Our proposed approaches statistically validate and verify based on various parameters.
查看更多>>摘要：Differential evolution (DE) and its diverse variants are prominently inflated by unfitting operators like mutation and crossover. Basically, DE is doesn't commit to memorise the finest effects attained in early part of the preceding peers. In this paper, a new DE (named asmbDE) based on memory mechanism is offered for constrained optimisation problems (COPs). It contained new mutation and crossover (so-called as swarm mutation and swarm crossover) created by particle swarm optimisation (PSO) circumstance. The performancesmbDE has been tested over 22 CEC'2006 and 18 (10 and 30-dimensional) CEC'2010 COPs. The empirical results confirm the superiority of mbDE over many contemporary algorithms.
查看更多>>摘要：Automatic summarisation refers to summarising a document using software and it helps to reduce large text documents to a short set of words or a paragraph that delivers the main meaning of the full text. The extracted features from the documents are used for the automatic summarisation process and remain a successfully proven approach but it leads to drawbacks with respect to structure, redundancy, coherence. Existing methods for single document summarisation usually make use of only the first sentence or fixed number of words from the beginning it is contained in the specified document. The proposed system mainly aims at generating a summary of at least a minimum length unlike the existing system that generates empty summary if it could not find the keyword present in the input document which meets the attention weight beyond a threshold.
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