By Alvaro Rocha, Ana Maria Correia, Sandra Costanzo, Luis Paulo Reis

This e-book features a number of articles from The 2015 international convention on info platforms and applied sciences (WorldCIST'15), held among the first and third of April in Funchal, Madeira, Portugal, an international discussion board for researchers and practitioners to offer and talk about contemporary effects and recommendations, present tendencies, expert reports and demanding situations of contemporary details platforms and applied sciences examine, technological improvement and applications.

The major themes coated are: info and data administration; Organizational types and data platforms; clever and choice help structures; colossal facts Analytics and purposes; software program platforms, Architectures, purposes and instruments; Multimedia platforms and functions; machine Networks, Mobility and Pervasive platforms; Human-Computer interplay; healthiness Informatics; info applied sciences in schooling; details applied sciences in Radio communications.

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It is believed that in this way it is possible to get the advantage of both; the advantage of partitioning as TRACLUS suggests discovering similarities between sub-trajectories which is better than comparing trajectories as a whole, and the advantage of the spatio-temporal function of GenSTLIP. 4 Experimental Evaluation The proposed spatio-temporal algorithm is conducted on three different data sets. The data sets used are those the same used to test TRACLUS but added to them the time dimension.

Low-Cost Radars Integrated into a Landslide Early Warning System 13 In particular, six monitoring devices are adopted: three “point” systems, made up of a network of sensors that locally measures the start of shallow or deep displacements, and three “area” systems that remotely measure the movement of large slopes. All monitoring systems are fully integrated and connected to a unique data transmission system. Fig. 1. Integration of different components relative to LEWIS project The system includes both empirical and complete mathematical models for landslide triggering.

It groups the data according to their similarity into meaningful clusters. Data in each cluster share common characteristics which could be defined many ways. For example, objects in a cluster minimize the distance from the centroid of the group, meaning they are close to each other, while at the same time maximize the distance to objects in other clusters, making them dissimilar [6]. The main objective of this study is to provide a method to analyze spatio-temporal data. This research area is believed to be very important because it could help make future predictions about patterns of moving objects.

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