CRIS Current Research Information System

IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.

CRIS

Current Research Information System

IRIS è l'implementazione del sistema CRIS dell'università di Bologna che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per documentare e monitorare i risultati della ricerca e per aumentarne la visibilità.

Prodotti recenti

A Peer Inter-laboratory Study of SPME-GC-FID/MS Method for theAnalysis of Volatile Compounds in Virgin Olive Oils for Supporting Panel Test: Extracted Conclusions and Future Directions

The sensory assessment of virgin olive oils is officially carried out by a sensory panel that identifies positive and negative sensory attributes to classify the oils according to their quality grades, namely extra virgin (EV), virgin (V) and lampante (L). The workload of sensory&#...

Energy-Efficient PRBS Impedance Spectroscopy on a Digital Versatile Platform

This paper presents the digital design of a versatile and low-power broadband impedance spectroscopy (IS) system based on pseudo-random binary sequence (PRBS) excitation. The PRBS technique allows fast, and low-power estimation of the impedance spectrum over a wide bandwidth with adequate ac...

Dietary patterns and risk of ductal carcinoma of the breast: A factor analysis in Uruguay

Breast cancer (BC) shows very high incidence rates in Uruguayan women. The present factor analysis of ductal carcinoma of the breast, the most frequent histological type of this malignancy both in Uruguay and in the World, was conducted at a prepaid hospital of Montevideo, Uru...

Accelerometer-based fall detection using machine learning: Training and testing on real-world falls

Falling is a significant health problem. Fall detection, to alert for medical attention, has been gaining increasing attention. Still, most of the existing studies use falls simulated in a laboratory environment to test the obtained performance. We analyzed the acceleration signals recorded&...

The Balance Between Security, Privacy and Data Protection in IoT Data Sharing: A Critique to Traditional “Security&Privacy” Surveys

The paper examines the normative challenges of the Internet of Things (IoT), in particular, taking into account today’s debate on privacy, data protection, and security issues brought about by IoT. Three different layers of complexity are under scrutiny. They regard (i) moral and p...

CRIS Current Research Information System

CRIS

Current Research Information System

Prodotti recenti

A Peer Inter-laboratory Study of SPME-GC-FID/MS Method for theAnalysis of Volatile Compounds in Virgin Olive Oils for Supporting Panel Test: Extracted Conclusions and Future Directions

Energy-Efficient PRBS Impedance Spectroscopy on a Digital Versatile Platform

Dietary patterns and risk of ductal carcinoma of the breast: A factor analysis in Uruguay

Accelerometer-based fall detection using machine learning: Training and testing on real-world falls

The Balance Between Security, Privacy and Data Protection in IoT Data Sharing: A Critique to Traditional “Security&Privacy” Surveys

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