Abstract
In this article is proposed a simple method for estimating or characterize the behaviour of complex systems, in particular when these are being studied throughout simulation. Usual ways of treating the complex output data obtained from the activity (real or simulated) of such a kind of systems, which in many cases people classify and analyse along the time domain, usually the most complex perspective, is herein substituted by the idea of representing such data in the frequency domain, somehow like what is commonly done in Fourier Analysis and in Quantum Mechanics. This is expected to give the analyst a more holistic perspective on the system's behaviour, as well as letting him/her choose almost freely the complex states in which such behaviour is to be projected. We hope this will lead to simpler processes in characterizing complex systems.

Abstract
A new approach for a fibre optic modal Mach-Zehnder interferometer based on the combination of a fibre taper cascaded with a fibre LPG is presented. It is also demonstrated that such a structure can be applied for the implementation of a fibre optic inclinometer sensor. © 2006 Optical Society of America.

Abstract
A phase-shifted long-period fiber grating sensor fabricated by electric arc technique is used to measure bending curvature and temperature. © 2006 Optical Society of America.

Abstract
The main aim of this work is the use of optical Fibre Bragg Grating (FBG) to measure the bone response to mechanical impact in dental implants and evaluate load transfer. © 2006 Optical Society of America.

Abstract
The linear lambda calculus is very weak in terms of expressive power: in particular, all functions terminate in linear time. In this paper we consider a simple extension with Booleans, natural numbers and a linear iterator. We show properties of this linear version of Godels's System T and study the class of functions that can be represented. Surprisingly, this linear calculus is extremely expressive: it is as powerful as System T.

Abstract
The nature of warehouse design requires the manipulation of large amounts of data and is often an iterative process that forces the designer to go through the different design phases several times before reaching the final solution. This suggests an integrated computer environment that can give support to the user during all the design phases. The need for a flexible tool, easier to use, lead to the development of a Decision Support System: AWARD (Advanced WARehouse Design). This paper presents further developments of the DSS and shows a successful example of application of the new functionalities: a simulation model of a full automated warehouse developed for EFACEC, a large Portuguese company in the warehouse design, building and consultancy business.