- Détails du magazine
- Format
- Magazine
- eISSN
- 1314-4081
- ISSN
- 1311-9702
- Première publication
- 13 Mar 2012
- Période de publication
- 4 fois par an
- Langues
- Anglais

#### Chercher

- Accès libre

Some New Information Inequalities Involving f-Divergences

Pages: 3 - 10

#### Résumé

New information inequalities involving f-divergences have been established using the convexity arguments and some well known inequalities such as the Jensen inequality and the Arithmetic-Geometric Mean (AGM) inequality. Some particular cases have also been discussed.

#### Mots clés

- f-divergence
- convexity
- parameterization
- arithmetic mean
- geometric mean

- Accès libre

Secured Multi-Cloud Virtual Infrastructure with Improved Performance

Pages: 11 - 22

#### Résumé

Cloud computing is a model where software applications and computing resources are accessed over Internet with minimal cost and effort by interacting with the service provider. Along with these benefits there are also some significant security concerns that need to be addressed for handling sensitive data and critical applications.

The simultaneous use of multiple clouds can provide several potential benefits, such as high availability, fault tolerance and reduced infrastructural cost. The model proposed which is the implementation of a secured multi-cloud virtual infrastructure consists of a grid engine on top of the multi-cloud infrastructure to distribute the task among the worker nodes that are supplied with various resources from different clouds to enhance cost efficiency of the infrastructure set up and also to implement high availability feature. The Oracle grid engine is used to schedule the jobs to the worker nodes (in-house and cloud). Worker nodes will be acting like listeners to receive the job from the oracle grid engine master node. High security is provided at this point for data using AES algorithm and also a password protection key for privileged user’s access. Performance analysis, cost analysis and cost-performance ratio analysis are done by comparing different cluster configurations.

#### Mots clés

- Grid gain engine
- map reduce
- worker nodes
- passport protection key
- Monte-Carlo simulation

- Accès libre

MultiObjective Genetic Modified Algorithm (MOGMA)

Pages: 23 - 33

#### Résumé

Multiobjective optimization based on genetic algorithms and Pareto based approaches in solving multiobjective optimization problems is discussed in the paper. A Pareto based fitness assignment is used − non-dominated ranking and movement of a population towards the Pareto front in a multiobjective optimization problem. A MultiObjective Genetic Modified Algorithm (MOGMA) is proposed, which is an improvement of the existing algorithm.

#### Mots clés

- Multiobjective optimization
- genetic algorithms
- population
- Pareto based approaches
- ideal point
- ideal function
- MultiObjective Genetic Modified Algorithm

- Accès libre

Summarizing News Paper Articles: Experiments with Ontology- Based, Customized, Extractive Text Summary and Word Scoring

Pages: 34 - 50

#### Résumé

The method for filtering information from large volumes of text is called Information Extraction. It is a limited task than understanding the full text. In full text understanding, we express in an explicit fashion about all the information in a given text. But, in Information Extraction, we delimit in advance, as part of the specification of the task and the semantic range of the result. Only extractive summarization method is considered and developed for the study. In this article a model for summarization from large documents using a novel approach has been proposed by considering one of the South Indian regional languages (Kannada). It deals with a single document summarization based on statistical approach. The purpose of summary of an article is to facilitate the quick and accurate identification of the topic of the published document. The objective is to save prospective readers’ time and effort in finding the useful information in a given huge article. Various analyses of results were also discussed by comparing it with the English language.

#### Mots clés

- Information extraction
- extractive summarization
- automatic text summarization
- text summarization
- stemming
- word count frequency
- UTF-8

- Accès libre

Grinding in Ball Mills: Modeling and Process Control

Pages: 51 - 68

#### Résumé

The paper presents an overview of the current methodology and practice in modeling and control of the grinding process in industrial ball mills. Basic kinetic and energy models of the grinding process are described and the most commonly used control strategies are analyzed and discussed.

#### Mots clés

- Ball mills
- grinding circuit
- process control

- Accès libre

A New Approach for Mammogram Image Classification Using Fractal Properties

Pages: 69 - 83

#### Résumé

Accurate classification of images is essential for the analysis of mammograms in computer aided diagnosis of breast cancer. We propose a new approach to classify mammogram images based on fractal features. Given a mammogram image, we first eliminate all the artifacts and extract the salient features such as Fractal Dimension (FD) and Fractal Signature (FS). These features provide good descriptive values of the region. Second, a trainable multilayer feed forward neural network has been designed for the classification purposes and we compared the classification test results with K-Means. The result reveals that the proposed approach can classify with a good performance rate of 98%.

#### Mots clés

- Fractal Dimension
- Fractal Signature
- mammograms
- self-similarity
- classification

- Accès libre

Enhanced CNN Based Electron Microscopy Image Segmentation

Pages: 84 - 97

#### Résumé

Detecting the neural processes like axons and dendrites needs high quality SEM images. This paper proposes an approach using perceptual grouping via a graph cut and its combinations with Convolutional Neural Network (CNN) to achieve improved segmentation of SEM images. Experimental results demonstrate improved computational efficiency with linear running time.

#### Mots clés

- Convolutional Neural Network
- SEM image
- perceptual grouping constraints via a graph cut
- segmentation using a graph cut
- graph cut optimization
- affinity graph
- backpropagation
- Maxflow/Mincut algorithm
- Neuronal segmentation

- Accès libre

Prediction of e-Learning Efficiency by Neural Networks

Pages: 98 - 108

#### Résumé

A model for prediction of the outcome indicators of e-Learning, based on Balanced ScoreCard (BSC) by Neural Networks (NN) is proposed. In the development of NN models the problem of a small sample size of the data arises. In order to reduce the number of variables and increase the examples of the training sample, preprocessing of the data with the help of the methods Interpolation and Principal Component Analysis (PCA) is performed. A method for optimizing the structure of the neural network is applied over linear and nonlinear neural network architectures. The highest accuracy of prognosis is obtained applying the method of Optimal Brain Damage (OBD) over the nonlinear neural network. The efficiency and applicability of the method suggested is proved by numerical experiments on the basis of real data.

#### Mots clés

- e-Learning efficiency
- Balanced ScoreCard
- Neural Networks