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Grid computing is a next evolutionary level of distributed computing. It integrates the users and resources which are scattered in various domains. The Grid and its related technologies will be used only if the users and the providers mutually trust each other. The system must be as reliable and robust as of their own. The reliability can be defined as the probability of any process to complete it’s...
Informatics application in biomedicine accumulates large amount of data constituting a big data source network. These sources are highly heterogeneous, dynamic and distributed in large scale environments. Resource discovery in such environments presents an important step for the SQL-query processing. Many research studies have focused on this issue. However, structural heterogeneity problems have...
In this paper we present a framework for combining MAP-MRF based classifiers for solving image labeling problems, by deriving a classification rule that uses a Gaussian Markov Random Field to model the observed data and a higher-order Potts MRF model as prior knowledge. In this scenario, the Potts model parameter acts like a regularizarion parameter, controlling the tradeoff between data fidelity...
The present paper presents a generic, flexible and robust framework for decision support in cooperative systems in charge with human resources allocation for various project tasks. Considering a knowledge database where people and projects are characterized through the task and competences binomial, the particularity of this frameworks consists in integrating inside the cooperative systems the benefits...
Computational approaches have been applied in many different biology application domains. When such tools are based on conventional computation, their approach has shown limitations when dealing with complex biological problems. In the present study, a computational evolutionary environment (GASNP) is proposed as a tool to extract classification rules from biological dataset. The main goal of the...
In this paper we present a comparative study of three data stream clustering algorithms: STREAM, CluStream and MR-Stream. We used a total of 90 synthetic data sets generated from spatial point processes following Gaussian distributions or Mixtures of Gaussians. The algorithms were executed in three main scenarios: 1) low dimensional; 2) low dimensional with concept drift and 3) high dimensional with...
This article considers the problem of how to formulate a framework for classifying digital images in large-scale image databases. The solution to this problem stems from recent work on near tolerance rough sets and from the realisation that collections of images can be viewed in the context of approach spaces. A nonempty set equipped with a distance function satisfying certain conditions is an example...
The notion of time permeates every single aspect of the world around us and, as such, it should be taken into account when developing automatic systems that implement many of its processes. In the literature several proposals for representing the notion of time can be found. One of the most popular is the Allen’s temporal interval, based on a set of 13 relations that may hold between two time intervals...
Developing a special method for maintenance of electrical equipments of industrial company is necessary for improving maintenance quality and reducing operating costs. The combination of corrective preventative and condition based maintenance will require applying for critical equipments of industrial company. This type of maintenance policy and strategy will improve performance of this equipment...
Proxy signatures are efficient alternatives to delegate the signing rights. In a proxy signature scheme, the original signer can delegate its signing rights to any other party, to make signature on its behalf. In a multi-proxy signature scheme, the original signer delegates its signing rights to a group of persons called proxy groups. With the exploit of bilinear pairing over elliptic curves, several...
Currently, data mining techniques are used in different areas, and numerous commercial data systems are available. The retail industry is a major application area for data mining techniques, since it collects large amount of data on sales, customer shopping history, goods transportation, consumption, and service. The quantity of data collected continues to expand rapidly, especially due to the increased...
The identification of scripts is an important step in the characters recognition. In this work, we are interested in Arabic and Latin scripts. The identification is based on an approach to character recognition. The approach is structural feature. Selected characteristics of scripts are based on the geometric shape of the characters. Evaluations are conducted on a printed document Arabic and Latin,...
The purpose of this paper is introduce a new agile methodology for Web development based on User Stories and that use some concepts of Scrum like Product Backlog and Sprint. The methodology is divided in three disciplines: Communication, Modeling and Construction; each one refining the User Stories, from requirements specification with the User and the use of the Navigation Model and Story Cards until...
Cross-correlation is an important image processing algorithm for template matching widely used on computer vision based systems. This work follows a profile-based hardware/software co-design method to develop an architecture for normalized cross-correlation coefficient calculus using Nios II soft-processor. Results present comparisons between general purpose processor implementation and different...
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