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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...
https://phd.dii.unipi.it/pubblicazioni/item/1678-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.html
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https://phd.dii.unipi.it/pubblicazioni/item/1677-pinna,-a-s-,-portaluri,-g-,-giordano,-s-2017,-july-shooter-localization-in-wireless-acoustic-sensor-networks-computers-and-communications-iscc-,-2017-ieee-symposium-on.html
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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...
https://phd.dii.unipi.it/pubblicazioni/item/1676-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.html
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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)...
https://phd.dii.unipi.it/pubblicazioni/item/1675-portaluri,-g-,-adami,-d-,-gabbrielli,-a-,-giordano,-s-,-and-pagano,-m-power-consumption-aware-virtual-machine-allocation-in-cloud-data-center.html
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https://phd.dii.unipi.it/pubblicazioni/item/1673-a-data-driven-approach-for-evaluating-foundation-skills-of-adults-2017,-april-salvatori,-e-,-gabrielli,-l-and-fosca-giannotti-didamatica-2017.html
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https://phd.dii.unipi.it/pubblicazioni/item/1672-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.html
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https://phd.dii.unipi.it/pubblicazioni/item/1671-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.html
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https://phd.dii.unipi.it/pubblicazioni/item/1670-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.html
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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...
https://phd.dii.unipi.it/pubblicazioni/item/1668-amato,-g-,-falchi,-f-,-and-vadicamo,-l-“aggregating-binary-local-descriptors-for-image-retrieval”-multimedia-tools-and-applications-mtap-pp-1-31-,-march-2017.html
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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...
https://phd.dii.unipi.it/pubblicazioni/item/1665-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-pro-ceedings-of-the-6th-aiucd-conference-2017-aiucd-2017.html
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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,...
https://phd.dii.unipi.it/pubblicazioni/item/1666-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.html
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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...
https://phd.dii.unipi.it/pubblicazioni/item/1667-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.html
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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...
https://phd.dii.unipi.it/pubblicazioni/item/1664-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.html
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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....
https://phd.dii.unipi.it/pubblicazioni/item/1662-lte-signal-propagation-in-a-maritime-environment-validation-of-a-hybrid-mom-ray-tracing-prediction-method.html
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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....
https://phd.dii.unipi.it/publications/item/1661-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.html
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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...
https://phd.dii.unipi.it/pubblicazioni/item/1659-campana_wifidirect.html
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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...
https://phd.dii.unipi.it/pubblicazioni/item/1657-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.html
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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...
https://phd.dii.unipi.it/pubblicazioni/item/1658-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.html
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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...
https://phd.dii.unipi.it/pubblicazioni/item/1655-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.html
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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...
https://phd.dii.unipi.it/pubblicazioni/item/1654-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.html