Abstract

Abstract

Abstract
In this paper a neural network structure is used to develop a system capable of detecting microaneurysms locations in retinal angiograms. The LVQ (learning vector quantization) neural network is used to classify the input patterns into their desired classes using competitive layers. The neurons in the competitive layers compete among each other to produce subclasses. These subclasses are then combined to produce the desired output classes. The input vector of the neural network is derived from a grid of smaller image windows. The presence of microaneurysms in these windows is detected according to a novel multi-stage training procedure that has proved to be very effective.

Abstract
Fiber Bragg Gratings (FBG's) are nowadays widely used in various fields, including telecommunications. Since emergence, this component has found many applications due to its properties, versatility and variety of controllable parameters that can shape in various manners its spectral properties. These devices have the advantage of being built of fiber and they are widely used in mono and multichannel networks.

Abstract

Abstract
This paper describes the methods and experiences of developing of an information system in an industrial innovation context. The case analysed respects to a system supporting quality management tasks of working teams in industrial companies, developed within a research & development EU funded project. The initial concept of the system is described first, followed by the way how requirements where elicited and structured and the system specified. Next, design and prototyping are analysed , detailing the end-users evaluation approach. Conclusions are drawn on the opportunities and difficulties od R&D involving industrial enterprises.