In this masters thesis we present a lightweight lossless data compression method for wireless sensor networks(WSN). This method is based on a conventional Huffman coding applied to a sample set of monitored parameters that ...

With the rapid growth of media currently being transmitted over the Internet, lossy image compression algorithms are indispensable. Therefore, there are several studies that seek to improve the compression algorithms, in ...

This thesis presents new optical fiber sensing methodologies employing computational intelligence approaches seeking for the improvement of the sensing performance. Particularly, artificial neural networks, support vector ...

This paper presents a study on how the Linked Data standards address the problem of lack of structure and the Semantic Web. First discusses about the current Web and their evolution to become increasingly semantics. It ...

An algorithm for the compression of electrocardiogram (ECG) data, based on wavelet transforms implemented through a filter bank, is proposed in this work. The main objective is to compress the data generated by ECG signals, ...