Abstract

Abstract
Information technology and information systems have evolved dramatically over the last half-century, playing an absolutely central and crucial role in the success of today's organizations. Therefore, the complexity of the information systems function has also increased significantly, which requires the use of more evolved software tools to support the information system function activities. In this paper we present a matrix of the main tools available for the information system function, which can help Chief Information Officers to identify the right tools to use in their departments.

Abstract
Wireless capsule endoscopy (WCE) is a revolutionary, patient-friendly imaging technique that enables non-invasive visual inspection of the patient's digestive tract, especially small intestine. However, the time-consuming task of reviewing the endoscopic data a burden for the physicians. This limitation was the propose a novel strategy for automatic discrimination of WCE images related to ulcer, the most common finding of digestive tract Towards this direction, WCE data are processed with Bidimensional Ensemble Empirical Mode Decomposition to reveal their inherent structural components, and also to reconstruct a new refined image. Then, texture information is extracted by analyzing the intrinsic second/higher-order correlation of the original image and by calculating the lacunarity index of the refined image. Experimental results demonstrated promising classification accuracy (97%) exhibiting high potential towards a complete computer-aided diagnosis system.

Abstract
High-resolution computed tomography (HRCT) became an essential tool in detection, characterization and follow-up of lung diseases. In this paper we focus on lung emphysema, a long-term and progressive disease characterized by the destruction of lung tissue. The lung patterns are represented by different features vectors, extracted from statistical texture analysis methods (spatial gray level dependence, gray level run length method and gray level difference method). Support vector machine (SVM) was trained to discriminate regions of healthy lung tissue from emphysematous regions. The SVM model optimization was performed in the training dataset through a cross validation methodology, along a grid search. Three usual kernel functions were tested in each of the features sets. This study highlights the importance of the kernel choice and parameters tuning to obtain models that allow high level performance of the SVM classifier.

Abstract
In this article we will discuss that the Intelligent or Smart Meeting Rooms (SMR) spaces will have to understand what is going in the meetings and even what participants are discussing. In this way we believe it is possible to supply intelligent feedback. In order to fill this gap we came to propose an extensible Meeting Task Ontology (MTO) that is able to represent in detail what knowledge is present in Meetings for group decision-making. We also propose an extension to this ontology, the IGMTO ontology, that specifically focuses on the knowledge present in the Idea Generation (IG) Process. We believe that the Idea Generation process modeled with these two ontologies, who provide a link between the ideas and problems of a meeting to a domain ontology, it will be possible to give awareness of meeting contents to a SMR space.

Abstract
This article presents an educational tool to be used in signal processing interpolation-related subjects. The aim is to contribute to the better consolidation of acquired theoretical knowledge, allowing students to test signal reconstruction algorithms and visualize the results obtained by the usage of such algorithms, and how several parameters affect their convergence and performance. (c) 2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 20: 356363, 2012