‘A true feeling of authentic portuguese golf'? The discursive construction of the Algarve region in portuguese golf websites

In an increasingly competitive global marketplace, the need for golf destinations to differentiate themselves from competitors has become more critical than ever. This paper raises questions about the promotional strategies employed by the golf sector in the Algarve, focusing on internet communication strategies, since this medium has become the biggest driving force towards the commoditisation of all aspects of the tourism experience. By offering a complementary perspective to the field of (critical) tourism studies, and drawing on a qualitative, multi-modal discourse analysis, this work-in-progress looks at the particular ways that representations and images presented on the Algarve golf websites constitute and frame identities (of people and places) and socio-spatial relationships. This paper analyses a corpus of 45 texts collected from official websites of the 40 Algarve golf courses and from five entities which promote the Algarve as a golf destination, along with the golf images that are displayed alongside them. Findings point to salient discursive and visual representations of a global setting enjoyed by the global elite. Whereas the courses‟ positioning in relation to their regional competitors draws on similar discursive strategies which reflect those used in tourism advertising discourses in general – e.g. reiteration of explicit comparisons, superlatives and hyperbolic statements -, representations of local emplacedness are not salient; in some cases local place seems to have been almost intentionally suppressed.

Open source data sensing software for ultrasonic non-invasive temperature estimation

In this paper, an open source solution for measurement of temperature and ultrasonic signals (RF-lines) is proposed. This software is an alternative to the expensive commercial data acquisition software, enabling the user to tune applications to particular acquisition architectures. The collected ultrasonic and temperature signals were used for non-invasive temperature estimation using neural networks. The existence of precise temperature estimators is an essential point aiming at the secure and effective applica tion of thermal therapies in humans. If such estimators exist then effective controllers could be developed for the therapeutic instrumentation. In previous works the time-shift between RF-lines echoes were extracted, and used for creation of neural networks estimators. The obtained estimators successfully represent the temperature in the time-space domain, achieving a maximum absolute error inferior to the threshold value defined for hyperthermia/diathermia applications.

A scalable and open source linear positioning system controller

This paper is on the implementation of a dual axis positioning system controller. The system was designed to be used for space-dependent ultrasound signal acquisition problems, such as pressure field mapping. The work developed can be grouped in two main subjects: hardware and software. Each axis includes one stepper motor connected to a driver circuit, which is then connected to a processing unit. The graphical user interface is simple and clear for the user. The system resolution was computed as 127 mu m with an accuracy of 2.44 mu m. Although the target application is ultrasound signal acquisition, the controller can be applied to other devices that has up to four stepper motors. The application was developed as an open source software, thus it can be used or changed to fit different purposes.