Abstract
The segmentation stage is a key aspect of an object-based image analysis system. However, the segmentation quality is usually difficult to evaluate for satellite images. The Synthetic Image TEsting Framework (SITEF) is a tool to evaluate and compare image segmentation results. This paper presents an example of the use of SITEF for the evaluation of a segmentation algorithm, using a SPOT HRG satellite image with 6 vegetation land cover classes identified in an agricultural area. The segmentation results were evaluated under various perspectives, including the parcel size and shape, the land cover types, and the parameters used in the segmentation algorithm.

Abstract
A forecast model for estimating the annual variation in regional wine yield based on remote sensing was developed for the main wine regions of Portugal. Normalized Difference Vegetation Index (NDVI) time-series obtained by the VEGETATION sensor, on board the most recent Satellite Pour l'Observation de la Terre (SPOT) satellite, over the period 1998-2008 were used for four test sites located in the main wine regions of Portugal: Douro (two sites), Vinhos Verdes and Alentejo. The CORINE (Coordination of Information on the Environment) Land Cover maps from 2000 were initially used to select the suitable regional test sites. The NDVI values of the second decade of April of the previous season to harvest were significantly correlated to the wine yield for all studied regions. The relation between the NDVI and grapevine induction and differentiation of the inflorescence primordial or bud fruitfulness during the previous season is discussed. This NDVI measurement can be made about 17 months before harvest and allows us to obtain very early forecasts of potential regional wine yield. Appropriate statistical tests indicated that the wine yield forecast model explains 77-88% of the inter-annual variability in wine yield. The comparison of official wine yield and the adjusted prediction models, based on 36 annual data records for all regions, shows an average spread deviation between 2.9% and 7.1% for the different regions. The dataset provided by the VEGETATION sensor proved to be a valuable tool for vineyard monitoring, mainly for inter-annual comparisons on a regional scale due to their high data acquisition rates and wide availability. The accuracy, very early indication and low-cost of the developed forecast model justify its use by the winery and viticulture industry.

Abstract
The goal of the "Soft Core Robot" project is to set the way for a robot with minimalistic component and pin count, based on custom computing. Additionally, the "Joint Wheel Motion Controller" specifically takes advantage of custom computing in order to privilege angular precision over linear velocity which is interesting for some applications including mobile robotics. The proposed "Soft Core Robot" is expected to produce a small but very powerful and versatile robot. The chosen processing platform is based on a FPGA plus Microprocessor in the same chip. The proposed example application is the Fire Fighting contest at Instituto Politecnico da Guarda, in Portugal. The Joint Wheel Controller is not yet fully operational but results for the control of a single motor are presented. The overall status of the project is addressed, as well as the pros and cons of the approaches taken.

Abstract
The goal of this paper is to discuss the usage of distributed architecture for the Lego NXT robots. This platform is very interesting because it provides standard hardware for configurable mounting of several sensors and actuators. The presented work characterizes sensors and actuators and identifies limitations of the stand-alone architecture. In order to maximize usefulness and go beyond the identified limitations, a distributed computing architecture was developed that allows the Lego NXT to address complex missions. The distributed architecture makes use of two different programming environments. The described architecture was tested in a sample self localization task.

Abstract
This paper presents a case study of a web application for inventory management of electronics laboratories. The iLab project efficiently manages the inventory, requests, users (borrowings, purchases, etc.) and associated historic and workflow information. This enables users to queue requests and track their status. This project differs from the existing applications from this kind, since it not only serves administrative proposes, but also the users requirements. It was also developed with tools that ensure ease of development and deployment, while maintaining high performance, stability, security and future growth. In order to ensure a low "Total Cost of Ownership" application, freeware and web based tools were used. Future work includes Business to Business communications with large suppliers and optimization of the information stored in the database.

Abstract
This paper presents an innovative software called FEUP Fuzzy Tool. It was developed by teacher and students as an attempt to provide means to easily control non-linear plants and Multiple Input Multiple Output systems under soft real time constraints with the advantages offered by Fuzzy Logic controllers such as the usage of linguistic variables. The tool was partially developed in the classes and is currently used for investigation and educational purposes. This document discusses the features recently added to the toolbox, highlighting some very interesting capacities such as the capacity to export the developed fuzzy controllers to embedded systems. It is also given some insight of what it is currently been developed.