Abstract
The dynamics of image acquisition conditions for gastroenterology imaging scenarios pose novel challenges for automatic computer assisted decision systems. Such systems should have the ability to mimic the tissue characterization of the physicians. In this paper, our objective is to compare some feature extraction methods to classify a Chromoendoscopy image into two different classes: Normal and Potentially cancerous. Results show that LoG filters generally give best classification accuracy among the other feature extraction methods considered.

Abstract

Abstract
Professional training is nowadays an essential activity in any organization. This activity is particularly important in an onboarding/ organizational socialization stage in which new employees should familiarize themselves with organizational praxis, values and behaviors. © 2011 AISTI.

Abstract
The rate of adoption of Precision Agriculture and Precision Viticulture production systems in the Douro Demarcated Region remains low. We believe that one way to raise it is to address challenging real-world problems whose solution offers a clear benefit to the viticulturist. For example, one of the most demanding tasks in wine making is harvesting. Even for humans, the detection of grapes in their natural environment is not always easy. White grapes are particularly difficult to detect, since their color is similar to that of the leafs. Here we present a low cost system for the detection of white grapes in natural environment color images. The system also calculates the probable location of the bunch stem and achieves 91% of correct classifications.

Abstract
In soccer games, a performance indicator is defined as a selection of action variables that aims to define all aspects of accomplishment of the game goals. However their perception during the match is extremely difficult. Over the years, soccer has been used in many research areas including the robotic international soccer competition, RoboCup. The aim of this research project is to present a comparison study, performed to detect similarities between these two games (Human versus Robotic Simulation 2D soccer). Having an off-line automatic event detection tool as a base, a collection of final game statistics was done and the Mann-Whitney test was used to verify their statistical significance. The results show that the most frequent events occurred in both types of game are successful passes. In what concerns stopped game situation types, in both types of games, the most frequent one is the Throw in situation (Human-59,8%, versus Robotic-74,1%) and the less frequent is the Corner situation (Human-13,7%, versus Robotic-10,3%). Some differences still reside, especially in the frequency of set pieces and the action prior the goal. © 2011 Springer-Verlag.

Abstract
Wireless sensor networks have found multiple applications in precision viticulture. Despite the steady progress in sensing devices and wireless technologies, some of the crucial items needed to improve the usability and scalability of the networks, such as gateway infrastructures and in-field processing, have been comparatively neglected. This paper describes the hardware, communication capabilities and software architecture of an intelligent autonomous gateway, designed to provide the necessary middleware between locally deployed sensor networks and a remote location within the whole-farm concept. This solar-powered infrastructure, denoted by iPAGAT (Intelligent Precision Agriculture Gateway), runs an aggregation engine that fills a local database with environmental data gathered by a locally deployed ZigBee wireless sensor network. Aggregated data are then retrieved by external queries over the built-in data integration system. In addition, embedded communication capabilities, including Bluetooth, IEEE 802.11 and GPRS, allow local and remote users to access both gateway and remote data, as well as the Internet, and run site-specific management tools using authenticated smartphones. Field experiments provide convincing evidence that iPAGAT represents an important step forward in the development of distributed service-oriented information systems for precision viticulture applications.