1,721,497 research outputs found
I manuali nella Scuola Patavina
Full text linkIl lavoro tratta della manualistica di diritto privato nella Scuola Patavina e delle evoluzioni che essa ha subito negli ultimi 80 anni, da quanto cioè è entrato in vigore il codice del 1942 in pieno periodo bellico all'epoca della didattica online
Commento sistematico agli artt. 1936-1957 c.c.
No full textSi tratta di una esposizione critica dei principali problemi teorici e applicativi suscitati dalla normativa sulla fideiussione
La conformità del bene al contratto di vendita: criteri "soggettivi" e criteri "oggettivi"
No full textIl lavoro analizza la nuova disciplina della conformità al contratto nella vendita di beni di consumo, introdotta dal nostro legislatore in attuazione della direttiva (UE) 2019/771. In particolare viene approfondita la nuova partizione tra criteri di conformità soggettivi ed oggettivi che nella precedente normativa emergeva solo implicitamente. Viene inoltre analizzata la conformità al contrato dei beni con elementi digital
Gli istituti giuridici di sostegno agli anziani fragili: osservazioni e proposte. 2. Criticità e problemi dell'istituto dell'amministrazione di sostegno
No full textIl lavoro analizza la criticità procedurali dell'istituto dell'amministrazione di sostegno applicato all'anziano, a vent'anni dalla sua entrata in vigore, partendo dai dati statistici e considerando il punto di vista dei soggetti coinvolti a partire dalla persona fragile, per arrivare al giudice tutelare e a tutte le figure professionali coinvolt
Understanding Human Mobility for CrowdSensing Strategies with the ParticipAct Data Set
Full text linkThe Mobile CrowdSensing (MCS) paradigm has been increasingly adopted in the last years. Its adoption has been proved as beneficial for different scenarios, such as environmental monitoring and mobility analysis. However, one of the major barriers of the MCS initiatives, is the difficulty in recruiting users for the purpose of collecting data. We focus in this work to such limitation, and we analyze the mobility traces collected with a real-world MCS experiment, namely ParticipAct. Our goal is to discuss how to exploit the mobility features of the recruited users, as grounding information to plan and optimize a MCS data collection campaign. In detail, we analyze the quality of the data set, its accuracy and several features of human mobility such as radius of gyration and the real entropy of the locations visited. We discuss the impact of such metrics on the task scheduling, allocation and how to obtain a certain Tcoverage of data from visited locations
Evaluation of a Location Coverage Model for Mobile Edge Computing
No full textThe Mobile Edge Computing paradigm shifts the computation back to places where it is required. A traditional MEC architecture comprises a number of Edge Data Centers (EDC) in charge of seamlessly providing services to users with wireless network technologies. In this scenario, it becomes crucial to deploy the EDCs in strategic locations, such as highly visited places. In this paper we focus on the deployment phase of an EDC. In particular, we propose a probabilistic model designed to measure the location converge, namely the probability that a candidate location for an EDC is visited by users. Our model is based on the analysis of user's trajectories and on the probability of detouring towards the target locations for the EDS. The information returned by our model offers the possibility of implementing mobility-aware deployment strategies in urban environments. We test the model with two real-world mobility data sets, evaluating its applicability of realistic settings
High-precision voltage-to-current converters based on single-chip gain-selectable amplifiers
No full textA new application of single-chip gain-selectable amplifiers for Howland current pump circuits is here presented and discussed. LT199x integrated circuits, by Linear Technology, were used for the implementation of extremely accurate voltage-to-current conversion. Circuit performance was evaluated for resistive temperature-sensors biasing and signal conditioning. Experimental results highlight the excellent performance of the fabricated prototypes in terms of linearity and sensitivity. In addition, a ratiometric measurement method can be applied, ensuring virtual nulling of errors caused by the limited absolute accuracy of the voltage supply and/or the voltage reference used for the whole acquisition system
A TinyML-Approach to Detect the Proximity of People Based on Bluetooth Low Energy Beacons
Full text linkProximity detection is the process of estimating the closeness between a target and a point of interest, and it can be estimated with different technologies and techniques. In this paper we focus on how detecting proximity between people with a TinyML-based approach. We analyze RSS values (Received Signal Strength) estimated by a micro-controller and propagated by Bluetooth's tags. To this purpose, we collect a dataset of Bluetooth RSS signals by considering different postures of the involved people. The dataset is adopted to train and test two neural networks: a fully-connected and an LSTM model that we compress to be executed directly on-board of the micro-controller. Experimental results conducted over the dataset show an average precision and recall metrics of 0.8 with both of the models, and with an inference time less than 1 ms
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