Sistemas de informação para a gestão turística

Nowadays, to be competitive in society means to have a technological framework that fi ts customer responses. In tourism, the need for ICT (Information and Communication Technologies) is even more important, since to sell the tourist product it is crucial to disclose the information that characterizes it, plus, it is necessary to organize, manage and deal with it in accordance with the tourists’ expectations. After the tourist product has been consumed, it is important to share the experience with other travellers. The process of purchase and consumption of a tourist product is possible only if tourists and professionals have access to the information required, and for this it is necessary to use systems that can: manage results, flights and customer loyalty, distribute information and travel planning, among other things. All these systems have tourist information management in common, which leads to the conclusion that they are indispensable to tourism. This paper presents several information systems that coexist in the tourism sector, as well as those used in tourist distribution channels. Finally we show the trends that these systems are causing in tourism.

A time frequency approach to blind deconvolution in multipath underwater channels

Blind deconvolution is studied in the underwater acoustic channel context, by time-frequency (TF) processing. The acoustic propagation environment is modelled by ray tracing and mathematically described by a multipath propagation channel. Representation of the received signal by means of a signal-dependent TF distribution (radially Gaussian kernel distribution) allowed to visualize the resolved replicas of the emitted signal, while signi cantly attenuating the inherent interferences of classic quadratic TF distributions. The source signal instantaneous frequency estimation was the starting point for both source and channel estimation. Source signature estimation was performed by either TF inversion, based on the Wigner-Ville distribution of the received signal, or a subspace- -based method. The channel estimate was obtained either via a TF formulation of the conventional matched- lter, or via matched- - ltering with the previously obtained source estimate. A shallow water realistic scenario is considered, comprising a 135-m depth water column and an acoustic source located at 90-m depth and 5.6-km range from the receiver. For the corresponding noiseless simulated data, the quality of the best estimates was 0.856 for the source signal, and 0.9664 and 0.9996 for the amplitudes and time-delays of the impulse response, respectively. Application of the proposed deconvolution method to real data of the INTIMATE '96 sea trial conduced to source and channel estimates with the quality of 0.530 and 0.843, respectively. TF processing has proved to remove the typical ill-conditioning of single sensor deterministic deconvolution techniques.