Abstract

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
Adaptive Object Models, though a well-known architectural pattern, is seldomly used in software projects where, due to their nature, would highly benefit from it. Characteristics such as complexity, reduced literature and case-studies, lack of reusable framework components, and fundamental issues as those regarding runtime evolution, drive developers away. By overcoming these barriers with a set of patterns, tools and applications, and addressing pending research problems, Adaptive Object Models can dramatically alter the way developers design their software. This paper presents a survey in the field, describes the preliminary contributions and outlines the ongoing doctoral work.

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

Abstract
There are several data fusion methods widely used to produce a high resolution multi-spectral image from a pair of images - a panchromatic high resolution and a multi-spectral lower resolution image. Although the fused images can be visually satisfactory, it is not clear whether they provide additional information for quantitative measurements made from satellite images. A methodology to evaluate data fusion algorithms is proposed, based on the production of synthetic images that reproduce real satellite images. An experiment was conducted testing the performance of six data fusion methods in the production of NDVI values for land parcels from SPOT HRG and Landsat TM data. The fusion methods evaluated were: Brovey, IHS Hexcone, IHS Cylinder, PCA, Wavelet IHS and Wavelet Single Band. The best data fusion method overall was found to be Wavelet IHS, although better results were obtained by using directly the lower resolution multi-spectral data instead. The software tools developed and a number of test images datasets are freely available at the SITEF website (www.fc.up.pt/sitef).