ESP in Spain: goals, achievements and prospects

This paper aims to describe the development of English for Specific Purposes (ESP) as specialised language study and research at tertiary level in Spain over the past twenty years. The year 1992 is chosen as a starting point because AELFE, the Association of Languages for Specific Purposes, was founded in Madrid at the time. As more members from other countries have joined in, this Association has served as an academic landmark for the development of ESP within the umbrella of applied linguistics. ESP has reflected the social changes, educational shifts, linguistic trends, and technological innovations involved in academic and professional contexts. The evolution of the specialised language practitioner’s scenarios and communicative situations has turned ESP into a lively and stimulating action, though not lacking in controversy, e.g., a general increase in the ESP teacher’s workload. Different lines of work and research have been followed from the inception of AELFE until the implementation of the Bologna agreement in our universities. The examination of such variables is conducted in the light of some quantitative and qualitative findings.

Membrane Systems Working with the PFactor: Best Strategy to Solve Complex Problems.

A membrane system is a massive parallel system, which is inspired by the living cells when processing information. As a part of unconventional computing, membrane systems are proven to be effective in solving complex problems. A new factor is introduced. This factor can decide whether a technique is worthwhile being used or not. The use of this factor provides the best chances for selecting the strategy for the rules application phase. Referring to the “best” is in reference to the one that reduces execution time within the membrane system. A pre-analysis of the membrane system determines the P-factor, which in return advises the optimal strategy to use. In particular, this paper compares the use of two strategies based on the P-factor and provides results upon the application of them. The paper concludes that the P-factor is an effective indicator for choosing the right strategy to implement the rules application phase in membrane systems.

Data Mining with Enhanced Neural Networks-CMMSE

Abstract This paper presents a new method to extract knowledge from existing data sets, that is, to extract symbolic rules using the weights of an Artificial Neural Network. The method has been applied to a neural network with special architecture named Enhanced Neural Network (ENN). This architecture improves the results that have been obtained with multilayer perceptron (MLP). The relationship among the knowledge stored in the weights, the performance of the network and the new implemented algorithm to acquire rules from the weights is explained. The method itself gives a model to follow in the knowledge acquisition with ENN.

Piezoelectric sensors system for impact detecting

This work describes an acoustic system that allows the automatic detection and location of mechanical impacts on metallic based structures, which is suitable in robotics and industrial applications. The system is based on the time delays of propagation of the acoustic waves along the metallic based structure and it determines the instant and the position when and were the impact has been produced by piezoelectric sensors and an electronic-computerized system. We have obtained that for distance impact of 40 cm and 50 cm the time delay is 2 s and 72 s respectively.