Portaluri, G., Adami, D., Giordano, S., Pagano, M (2017, November). "A Novel Allocation Strategy for Virtual Machines in Software Defined Data Center". NFV-SDN Workshops

Cloud Data Center (DC) service orchestration and resource management are important applications of the Software Defined Networking (SDN) paradigm. In this paper, we introduce a novel dynamic allocation strategy for Virtual Machine (VM) allocation called...

Pinna, A. S., Portaluri, G., Giordano, S. (2017, July). "Shooter localization in wireless acoustic sensor networks. Computers and Communications (ISCC), 2017 IEEE Symposium on"

Ojo, M., Giordano, S., Portaluri, G., Adami, D., Pagano, M. "An energy efficient centralized scheduling scheme in TSCH networks". Communications Workshops (ICC Workshops), 2017 IEEE International Conference on.

IEEE 802.15.4-2015 is the third revision of IEEE 802.15.4 Standard for Low-Rate Wireless Networks. The standard presents Time Slotted Channel Hopping (TSCH) Medium Access Control (MAC) protocol which provides high reliability and low power consumption...

Portaluri, G., Adami, D., Gabbrielli, A., Giordano, S., Pagano, M. "Power Consumption-Aware Virtual Machine Allocation in Cloud Data Center". IEEE Globecom Workshops (GC Wkshps), 2016

This paper compares a set of Virtual Machine (VM) allocators for Cloud Data Centers (DCs) that perform the joint allocation of computing and network resources. VM requests are defined in terms of system (CPU, RAM and Disk) and network (Bandwidth)...

A data driven approach for evaluating foundation skills of adults. (2017, April) Salvatori, E., Gabrielli, L. and Fosca Giannotti. Didamatica 2017.

Furletti, B., Trasarti, R., Cintia, P. and Lorenzo Gabrielli. (2017,April). Discovering and Understanding City Events with Big Data. Journal on Big Data Analytics and Data-Driven Science 2017. MDPI.

Lulli, A., Gabrielli, L., Dazzi, P., Dell'Amico, M., Michiardi, P., Nanni, M., Ricci, L. (2016, December). Scalable and flexible clustering solutions for mobile phone based population indicators. International Journal of Data Science and Analitics

Calastri, C., Hess, S., Choudhury, C., Daly, A and L. Gabrielli. (2017, June). Developing mode choice models using semi-ubiquitous data sources: a case study using a smartphone based GPS survey from Italy. TRB.

Amato, G., Falchi, F., and Vadicamo, L. : “Aggregating binary local descriptors for image retrieval”. Multimedia Tools and Applications (MTAP). pp. 1-31., March 2017

Content-Based Image Retrieval based on local features is computationally expensive because of the complexity of both extraction and matching of local feature. On one hand, the cost for extracting, representing, and comparing local visual descriptors has...

Amato, G., Mannocci, A., Vadicamo L., and, Zoppi, F.: “Coping with interoperability in cultural her-itage data infrastructures: the Europeana network of Ancient Greek and Latin Epigraphy”, In Proceedings of AIUCD 2017, January 2017

The Cultural Heritage (CH) community is one of the most active in the realisation of Aggregative Data Infrastructures (ADIs). ADIs provide tools to integrate data sources to form uniform and richer information spaces. The realisation of ADIs for CH must...

Connor, R., Vadicamo, L., Rabitti, F.: “High-Dimensional Simplexes for Supermetric Search”. In Proceedings of SISAP 2017, Springer International Publishing (Lecture Notes in Computing Science),pp. 96-109, October 2017

In a metric space, triangle inequality implies that, for any three objects, a triangle with edge lengths corresponding to their pairwise distances can be formed. The n-point property is a generalisation of this where, for any (n+1) objects in the space,...

Vadicamo, L., Carrara, F., Cimino, A., Cresci, S., Dell'Orletta, F., Falchi, F., Tesconi, M.: “Cross-Media Learning for Image Sentiment Analysis in the Wild”. In Proceedings of the International Conference on Computer Vision (ICCV) Workshops,Oct 2017

Much progress has been made in the field of sentiment analysis in the past years. Researchers relied on textual data for this task, while only recently they have started in- vestigating approaches to predict sentiments from multime- dia content. With...

Barsocchi P., Basile D., Candela L., Ciancia V., Delle Piane M., Esuli A., Ferrari A., Girardi M., Gui-dotti R., Lonetti F., Moroni D., Nardini F. M., Rinzivillo S., Vadicamo L. ISTI Young Research Award 2017. Technical report, 2017.

The ISTI Young Researcher Award is an award for young people of Institute of Information Science and Technologies (ISTI) with high scientific production. In particular, the award is granted to young staff members (less than 35 years old) by assessing...

M. Sfrecola, A. Corucci, A. Monorchio, "LTE signal propagation in a maritime environment: validation of a hybrid MoM-ray tracing prediction method", IEEE Antennas and Propagations Society, San Diego, USA, Jul 2017

The present work shows how we were able to deploy a hybrid Method of Moments (MoM) – Ray Tracing electromagnetic approach to predict the measured power over a Long Term Evolution (LTE) radio link over the sea during two different measurement campaigns....

C. Meghini, V. Bartalesi, D. Metilli, F. Benedetti. Introducing Narratives in Europeana: Preliminary Steps. In Advances in Databases and Information Systems (pp. 333-342). Springer, Cham. September, 2017

We present some preliminary steps towards the introduction of narratives as first-class citizens in digital libraries. The general idea is to enrich the digital libraries with events providing a rich contextualisation of the digital libraries’ objects....

V. Arnaboldi, M. G. Campana, F. Delmastro, "Context-Aware Configuration and Management of WiFi Direct Groups for Real Opportunistic Networks", IEEE MASS 2017, Orlando, Florida, USA, October 22-25, 2017

Wi-Fi Direct is a promising technology for the support of device-to-device communications (D2D) on commercial mobile devices. However, the standard as-it-is is not sufficient to support the real deployment of networking solutions entirely based on D2D...

Nannipieri P., et al. APPLICATION OF FBG SENSORS TO TEMPERATURE MEASUREMENT ON BOARD OF THE REXUS 22 SOUNDING ROCKET IN THE FRAMEWORK OF THE U-PHOS PROJECT Metrology for AeroSpace (MetroAeroSpace), 2017 IEEE International Workshop on, Padova (IT), Ju

U-PHOS (Upgraded PHP Only for Space) is a project developed within the REXUS/BEXUS programme framework, by a team of students from the University of Pisa with the goal to analyse and characterize the behaviour of a Pulsating Heat Pipe (PHP), one of the...

Nannipieri P., et al. APPLICATION OF FBG SENSORS TO TEMPERATURE MEASUREMENT ON BOARD OF THE REXUS 22 SOUNDING ROCKET IN THE FRAMEWORK OF THE U-PHOS PROJECT Metrology for AeroSpace (MetroAeroSpace), 2017 IEEE International Workshop on, Padova (IT), Ju

U-PHOS (Upgraded PHP Only for Space) is a project developed within the REXUS/BEXUS programme framework, by a team of students from the University of Pisa with the goal to analyse and characterize the behaviour of a Pulsating Heat Pipe (PHP), one of the...

G.Santini, D.Della Latta, N.Martini, G.Valvano, et al.: "An automatic deep learning approach for coronary artery calcium segmentation". EMBEC & NBC 2017. IFMBE Proceedings, vol 65, Springer Singapore

Coronary artery calcium (CAC) is a significant marker of atherosclerosis and cardiovascular events. In this work we present a system for the automatic quantification of calcium score in ECG-triggered non-contrast enhanced cardiac computed tomography...

G.Valvano, D.Della Latta, N.Martini, G.Santini et al.:"Evaluation of a Deep Convolutional Neural Network method for the segmentation of breast microcalcifications in Mammography Imaging".EMBEC & NBC 2017. IFMBE Proceedings, vol 65, Springer Singapore

Cluster of microcalcifications can be an early sign of breast cancer. In this paper we present a deep convolutional neural network for microcalcification detection and compare its results to a classical approach. In this work we used 238 mammograms to...