Abstract
The purpose of the described system is to aid radiologists on their daily routine in the task of analyzing HRCT lung images and to contribute to a more accurate and fast diagnosis. We developed a framework - Study Lung Tool-with the objective of gather information from radiologists, in a systematic way. Using Study Lung Tool framework, the radiologist analyzes HRCT scans, outlines regions of typical pattern and characterizes the patterns. A database of typical patterns associated with common pulmonary diseases was created. The information gathered can be a valuable teaching tool to every one that intends to understand HRCT lung parenchyma. The proposed system discriminates between normal and abnormal patterns of lung parenchyma based on statistical texture analysis extracted from HRCT lung scans. An overall accuracy of 89,2%, a sensitivity of 92,7% and a specificity of 83,6% were achieved.

Abstract
The complexity of Information Technology and Information Systems within organizations keeps growing rapidly. As a result, the work of the Chief Information Officer is becoming increasingly difficult, since he has to manage multiple technologies and perform several activities of different nature. In this position paper, we prove the development of a new tool for Chief Information Officers, which will systematize and aggregate the enterprise Information Systems Function information.

Abstract
In this paper is presented a project -CAD Lung System- whose objective is to help radiologists in their daily routine, in the HRCT images analysis of lung parenchyma. A database of abnormal lung patterns and their reliable classification is a determinant part of the system. We developed a framework -Study Lung Tool- with the objective of gather information from radiologist, in a systematic way. Using this framework, the radiologist analyses HRCT scans, outlines regions of typical pattern and characterizes the pattern. This framework can also be used as a learning tool through the observation of the HRCT scans previously characterized by experts.

Abstract
Assistive technology enables people to achieve independence in the accomplishment of their daily tasks and enhance their quality of life. Navigation systems to assist visually impaired people that use computer vision techniques are very resource intensive and as such, not suitable for mobile devices. This work describes a computer vision algorithm intended to reduce processing demands with possible application in portable devices. The model proposed employs 2D-Ensemble Empirical Mode Decomposition (2D-EEMD) in order to reduce the problem complexity. It uses a combination of Peano-Hilbert space filling curves as a dimension reduction of image data and EEMD to implement a fast algorithm. Tests results have shown that Peano-Hilbert EEMD exhibits substantially reduced processing power compared with 2D-EEMD approaches, enabling new opportunities for its use in portable applications on low computer power devices.

Abstract
According to the World Health Organization in 2002 more than 161 million people were visually impaired [1]. The mobility of the visually impaired reveals itself to be a rather complex task, even with the support of inclusive technologies. Currently, the most widespread and used means by the visually impaired people are the white stick and the guide dog, however both show some difficulties in their mobility. The white stick only detects obstacles at the ground level, whilst obtaining a guide dog correctly trained in Portugal is an expensive and slow solution [2], given that the communication between the visually impaired person and the dog is limited. If the blind person had access to reliable information, and in real time, about the environment in which he lives, it certainly would be safer for him to move around it [3]. Thus, more and more, with the increasing development of the technologies, there is the possibility of creating systems that assist the visually impaired people in their task of detecting the obstacles and subsequent orientation. The objective of this article is to create a system that allows the capture of images in real time and that accomplishes the segmentation resorting to the information with disparity. Later on, the result of the image segmentation will be used in a system that offers the visually impaired person information on the environment that surrounds him. The image acquisition is done through a system of stereo vision that captures images from the surrounding environment as the user moves around.

Abstract