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Donatella Sciuto

Researcher at Polytechnic University of Milan

Publications -  459
Citations -  6420

Donatella Sciuto is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Control reconfiguration & Testability. The author has an hindex of 36, co-authored 450 publications receiving 6218 citations. Previous affiliations of Donatella Sciuto include University of Milan & University of Tübingen.

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Factors affecting ERP system adoption: A comparative analysis between SMEs and large companies

TL;DR: The analysis of the empirical data shows that business complexity is a weak predictor of ERP adoption, whereas just company size turns out to be a very good one, and companies seem to be disregarding ERP systems as an answer to their business complexity.
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Asymptotic zero-transition activity encoding for address busses in low-power microprocessor-based systems

TL;DR: In this article, the authors propose an encoding scheme which is suitable for reducing the switching activity on the lines of an address bus, which relies on the observation that, in a remarkable number of cases, patterns traveling onto address buses are consecutive.
Journal ArticleDOI

Ant Colony Heuristic for Mapping and Scheduling Tasks and Communications on Heterogeneous Embedded Systems

TL;DR: This paper proposes an ant colony optimization (ACO) heuristic that, given a model of the target architecture and the application, efficiently executes both scheduling and mapping to optimize the application performance.
Proceedings ArticleDOI

Address bus encoding techniques for system-level power optimization

TL;DR: This paper presents innovative encoding techniques suitable for minimizing the switching activity of system-level address buses, and targets the reduction of the average number of bus line transitions per clock cycle.
Proceedings ArticleDOI

BlueSentinel: a first approach using iBeacon for an energy efficient occupancy detection system

TL;DR: This work presents BLUE-SENTINEL, an accurate and power efficient method to identify the occupants of each room of a smart building using mobile devices as source of information by exploiting iBeacon, a very recent low-power technology proposed by Apple.