Search results for " sensor"

Fingerprint and Iris based Authentication in Intercooperative Emerging e-Infrastructures

2013

E-infrastructures must support the development of heterogeneous applications for workstation network, for mobile and portable systems and devices. In this context and relating to all collaborative and pervasive computational technology a very important role is played by security and authentication systems, which represent the first step of the whole process. Biometric authentication systems represent a valid alternative to conventional authentication systems providing robust procedures for user authentication. On the other hand, Internet of Things involves a heterogeneous set of interacting devices to enable innovative global and local applications and services for users. In this chapter fi…

A PROBABILISTIC APPROACH TO ANOMALY DETECTION FOR WIRELESS SENSOR NETWORKS

2012

Fuzzy techniques for access and data management in home automation environments

2012

Home Automation Environments are characterized by the integration of electronic devices as well as by the performance of communication and control systems. Environment infrastructure has to meet several requirements including Quality of Service (QoS), safety, security, and energy saving. However, Home Automation deals with complex environments, so that advanced data management systems are required to meet the above constraints. Fuzzy Logic based techniques can be successful used to improve system performance management. This work proposes and describes the use and application of fuzzy rules on a two-tiered architecture integrating a biometric authentication module and communication real-tim…

Body Area Networks and Healthcare

2014

Derived from Wireless Sensor Networks, Body Area Networks, comprise a wide range of typologies with sensor nodes placed on, close to, or implanted in the body that measure physiological signs. The availability of compact mobile computing devices makes it possible to integrate traditional healthcare with new powerful means. New paradigms in public health are arising from these developments, such as e-health and mHealth, and new converging applications can be envisioned. Physiological data acquisition provided by BANs may give care providers a unobtrusive real-time view on patient’s health. On the other hand, the patient may be informed, assisted and even given the proper treatment by care pr…

Per una etnografia dialogica e improvvisata

2015

Un concerto di musica diventa per l’autore l’occasione pratica per una riflessione teorica sul modo di vedere l’etnografia e di concepire alcuni concetti d’ordine antropologico che dovrebbero essere collegati tra loro nelle diverse ricerche: universo sonoro, dimensione sensoriale, realtà, simulazione, dialogo, autocomunicazione, improvvisazione, vita. Il punto di partenza è la conoscenza mediata dai suoni. In quanto traduzione di un fatto sociale totale, una etnografia dovrebbe includere il modo sonico di conoscere di individui e culture sia nel quotidiano sia nel campo più lontano ed esotico. Riconoscerlo significa recuperare, in chiave dialogica, le più vaste interconnessioni tra le varie…

Mobile phone and auditory system: update

2009

The aim of this study is to asses the non-thermal effects of the electromagnetic fields generated by 915 MHz GSM cellular phones on the human cochlear activity using transient evoked otoacoustic emissions (TEOAE). The study was carried on 205 young and healthy volunteers (age 18-30 years) with normal hearing which were randomly divided into two samples consisting of 85 (Gcase) and 120 (Gcontrol) respectively. The first one was exposed to genuine 10 minutes of GSM electromagnetic fields while the second, undergone sham exposure, was considered as control group for the statistical investigations. All the participants were blind to the genuine or sham exposure. The TEOAEs were measured in the …

Screening e post-screening (Audiologia essenziale)

2014

Newborn hearing screening is a type of screening test for the early detection of hearing loss. It can recognize with good accuracy newborns affected by hearing impairment allowing an early diagnosis and intervention and avoiding cognitive and linguistic deficits [1,2,3,4,5,6]. The incidence of bilateral sensorineural hearing loss (SNHL) in Sicily is 2.35 cases per 1000 newborns; this value increases to 2.95 if we consider also unilateral SNHL [2,3] and to 10 cases per 1000 births among infants at risk [7,8,9]. A correct newborn hearing screening programme is based on different protocols depending on the presence/absence of audiologic risk factors: • Newborns without risk factors: [1,2,3] In…

TINNITUS PATIENTS: ETIOLOGIC, AUDIOLOGIC AND PSYCHOLOGICAL PROFILE

2013

Tinnitus represents one of the most frequent symptoms observed in the general population in association with different pathologies, although often its etiology remains unclear. Objective of this work is to evidence the main aspects concerning epidemiology, causes, audiological characteristics and psychological consequences of tinnitus.

A Spatial-Temporal Correlation Approach for Data Reduction in Cluster-Based Sensor Networks

2019

International audience; In a resource-constrained Wireless Sensor Networks (WSNs), the optimization of the sampling and the transmission rates of each individual node is a crucial issue. A high volume of redundant data transmitted through the network will result in collisions, data loss, and energy dissipation. This paper proposes a novel data reduction scheme, that exploits the spatial-temporal correlation among sensor data in order to determine the optimal sampling strategy for the deployed sensor nodes. This strategy reduces the overall sampling/transmission rates while preserving the quality of the data. Moreover, a back-end reconstruction algorithm is deployed on the workstation (Sink)…

Online Non-linear Topology Identification from Graph-connected Time Series

2021

Estimating the unknown causal dependencies among graph-connected time series plays an important role in many applications, such as sensor network analysis, signal processing over cyber-physical systems, and finance engineering. Inference of such causal dependencies, often know as topology identification, is not well studied for non-linear non-stationary systems, and most of the existing methods are batch-based which are not capable of handling streaming sensor signals. In this paper, we propose an online kernel-based algorithm for topology estimation of non-linear vector autoregressive time series by solving a sparse online optimization framework using the composite objective mirror descent…