Antonietta Maria Esposito

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– This paper reports on the unsupervised analysis of seismic signals recorded by four stations situated on the Vesuvius area in Naples, Italy. The dataset under examination is composed of earthquakes and false events like thunders, quarry blasts and man-made undersea explosions. The goal is to use these specific data for comparing the performance of three(More)
This paper compares three unsupervised projection methods: Principal Component Analysis (PCA), which is linear, Self-Organizing Map (SOM) and Curvilinear Component Analysis (CCA), which are both nonlinear. Performance comparison of the three methods is made on a set of seismic data recorded on Stromboli that includes three classes of signals:(More)
The main purpose of this work is the design and implementation of an integrated wireless network as support to the multiparametric geophysical monitoring network of the Campi Flegrei volcanic area, in view of the increased need for seismic monitoring, which is a consequence of the drilling of an exploration well for scientific purposes. The goal is to(More)
An effective change in Human Computer Interaction requires to account of how communication practices are transformed in different contexts, how users sense the interaction with a machine, and an efficient machine sensitivity in interpreting users' communicative signals, and activities. To this aims, the present paper investigates on whether and how positive(More)
This paper aims at investigating on whether and how semantic information conveyed by gestures supports communication effectiveness. The research hypothesis was operationalized as a word retrieval task. To this aim, 140 subjects (73 males, 67 females) aged between 18 and 35 years were recruited at the University of Salerno (Italy). They underwent a memory(More)