86,766 research outputs found
4th FUR4Sustain Happy Hour - Patrizio Salice (NOVAMONT) 2022
No full text<p>Talk by Patrizio Salice from NOVAMONT on "An overview on biopolymers and bioplastics"</p>
A BDD based algorithm for detecting difficult faults
No full textThe aim of this paper is the presentation of a new method- ologyforfast testpattern generationfir difficultfaults. A BDD-based algorithm is applied as back-end of a standard A TPG (e.g. SOCRATES, FAN, PODEM) thusproviding a solution to their ineficiency in difficult faults analysis. Experimental results show the effectiveness of the proposed approachon a number of benchmark circuits
SMARE: Semi-supervised method for activities of daily living recognition
No full textThe significant growth of the average age of the world population requires effective solutions to meet the unsustainable number of requests for hospitalization. For this reason, the scientific community is seeking new paradigms of care that provide compensatory interventions to the first signs of warning that can be detected in the behavior of the individuals. At this aim, this work proposes a method to detect the Activities of Daily Living carried out by a subject monitored at home through unobtrusive environmental sensors. The Activity Recognition system is composed of an unsupervised segmentation layer which splits the collected sensors activation data in time periods and a semantic layer that exploits a knowledge-based approach to provide the most probable activity label for each period. The system is enriched with a further layer to adapt the base knowledge according to the information directly provided by the resident
Double aortic arch in neonates: optimal definition by means of contrast-enhanced helical CT scan
No full textCompendio dell'arte essorcistica, e possibilita' delle mirabili, e stupende operationi de' demoni, e de' malefici. Co i rimedii opportuni alle infermita' maleficiali; del R. P. F. Girlamo Menghi di Viadana, minore osseruante: opera ... accresciuta in molte parti dall'istesso auttore; .. In Venetia : appresso Gio. Salice, 1617
No full textCompendio dell'arte essorcistica, e possibilita' delle mirabili, e stupende operationi de' demoni, e de' malefici. Co i rimedii opportuni alle infermita' maleficiali; del R. P. F. Girlamo Menghi di Viadana, minore osseruante: opera ... accresciuta in molte parti dall'istesso auttore; ..
In Venetia : appresso Gio. Salice, 1617
[72], 488 p. ; 8o
Marca (O381) sul front
Segn.: a-d8 e4 A-2G8 2H4
Wellness assessment of alzheimer’s patients in an instrumented health-care facility
No full textWellness assessment refers to the evaluation of physical, mental, and social well-being. This work explores the possibility of applying technological tools to assist clinicians and professionals to improve the quality of life of people through continuous monitoring of their wellness. The contribution of this paper is manifold: a coarse-grained localization system is responsible for monitoring and collecting data related to patients, while a novel wellness assessment methodology is proposed to extract quantitative indicators related to the well-being of patients from the collected data. The proposed system has been installed at “Il Paese Ritrovato”, an innovative health-care facility for Alzheimer’s in Monza, Italy; first satisfactory results have been obtained, and the dataset shows great potential for several applications
Il Parlamento del viceré Nicola Pignatelli duca di Monteleone (1688-89). Il processo verbale (1). Suppliche degli stamenti
No full textCESS: Closed environment safety system
No full textThe worldwide spread of the COVID-19 disease has required the adoption of restrictions to protect public health. These rules have heavily changed the access to working places, damaging in-person business, which is still the core of global and local economies. From large corporations to small companies the main challenge is to keep working places open and functional to maintain productivity and efficiency standard under the application of the anti-Covid-19 measures. This paper describes the design, prototyping work, simulations and test procedures of a low-cost system designed to monitor the fluxes of people and air quality of target areas (e.g., company's offices) to warn about the exposition to risky condition and to model crowd flows around a building to advise virtuous behaviour and preserving safe working conditions. To do that, the system merges the data produced from different suits of sensors to create safe working environments and keeping in person business running
High-efficiency multi-sensor system for chair usage detection
No full textRecognizing Activities of Daily Living (ADL) or detecting falls in domestic environments require monitoring the movements and positions of a person. Several approaches use wearable devices or cameras, especially for fall detection, but they are considered intrusive by many users. To support such activities in an unobtrusive way, ambient-based solutions are available (e.g., based on PIRs, contact sensors, etc.). In this paper, we focus on the problem of sitting detection exploiting only unobtrusive sensors. In fact, sitting detection can be useful to understand the position of the user in many activities of the daily routines. While identifying sitting/lying on a sofa or bed is reasonably simple with pressure sensors, detecting whether a person is sitting on a chair is an open problem due to the natural chair position volatility. This paper proposes a reliable, not invasive and energetically sustainable system that can be used on chairs already present in the home. In particular, the proposed solution fuses the data of an accelerometer and a capacitive coupling sensor to understand if a person is sitting or not, discriminating the case of objects left on the chair. The results obtained in a real environment setting show an accuracy of 98.6% and a precision of 95%
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