3,300 research outputs found
Protecting entanglement via the quantum Zeno effect
We study the exact entanglement dynamics of two atoms in a lossy resonator.
Besides discussing the steady-state entanglement, we show that in the strong
coupling regime the system-reservoir correlations induce entanglement revivals
and oscillations and propose a strategy to fight against the deterioration of
the entanglement using the quantum Zeno effect.Comment: 4 pages, 3 figure
Immagini satellitari ad alta risoluzione e ricerca archeologica: applicazioni e casi di studio con riprese pancromatiche e multispettrali di QuickBird
The paper concerns the research activities of the IBAM-CNR and the IMAA-CNR in the field of archaeological remote sensing with the use of very high resolution images of QuickBird, the satellite with the greatest geometrical resolution available for civil use. These images have an enormous potential in the study of ancient urban and territorial contexts and for the identification and spatial characterization of archaeological sites, particularly when aerial photos and recent detailed maps are not available. During the archaeological research in Hierapolis of Phrygia (Turkey) and in southern Italy (Monte Irsi, Monte Serico, Jure Vetere and Metaponto), the examination and the study of panchromatic and multispectral images of QuickBird made it possible to detect surface anomalies and traces linked to ancient buried structures or to paleo-environmental elements; moreover, panchromatic images were georeferenced and used as the base field maps for the survey in Hierapolis, together with GPS systems. The satellite images were analysed both for the identification of archaeological features and for the characterisation of the contexts in which these elements were found. During field work, the traces and the anomalies identified in the images were constantly verified, so as to determine their actual relevance to archaeological elements, to interpret them and, where possible, to specify their chronology, thus avoiding misunderstandings and errors. The images were used in all phases of the research (field work, documentation, data processing and management in GIS environment), in combination with the aerial photographs and the available maps; they were also used for presentation of the results and were draped on DEM for the 3D visualization of the territories and of the archaeological features. In order to highlight particular archaeological traces and anomalies some image processing methodologies were adopted: multispectral processing and algorithms of data fusion (with the integration of the high spatial resolution of panchromatic images with the spectral capability of multispectral images), of enhancement (such as PCA, NDVI and TCT) and edge detection
On the Use of Google Earth Engine and Sentinel Data to Detect âLostâ Sections of Ancient Roads. The Case of Via Appia
The currently available tools and services as open
and free cloud resources to process big satellite data opened
up a new frontier of possibilities and applications including
archeological research. These new research opportunities also
pose several challenges to be faced, as, for example, the data
processing and interpretation. This letter is about the assessment
of different methods and data sources to support a visual
interpretation of EO imagery. Multitemporal Sentinel 1 and
Sentinel 2 data sets have been processed to assess their capability
in the detection of buried archeological remains related to some
lost sections of the ancient Via Appia road (herein selected
as case study). The very subtle and nonpermanent features
linked to buried archeological remains can be captured using
multitemporal (intra- and inter-year) satellite acquisitions, but
this requires strong hardware infrastructures or cloud facilities,
today also available as open and free tools as Google Earth Engine
(GEE). In this study, a total of 2948 Sentinel 1 and 743 Sentinel
2 images were selected (from February 2017 to August 2020)
and processed using GEE to enhance and unveil archeological
features. Outputs obtained from both Sentinel 1 and Sentinel
2 have been successfully compared with in situ analysis and
high-resolution Google Earth images
Moddicom: a Complete and Easily Accessible Library for Prognostic Evaluations Relying on Image Features
Decision Support Systems (DSSs) are increasingly
exploited in the area of prognostic evaluations. For predicting
the effect of therapies on patients, the trend is now to use image
features, i.e. information that can be automatically computed by
considering images resulting by analysis. The DSSs application
as predictive tools is particularly suitable for cancer treatment,
given the peculiarities of the disease âwhich is highly localised
and lead to significant social costsâ and the large number of
images that are available for each patient.
At the state of the art, there exists tools that allow to handle
image features for prognostic evaluations, but they are not
designed for medical experts. They require either a strong
engineering or computer science background since they do not
integrate all the required functions, such as image retrieval and
storage. In this paper we fill this gap by proposing Moddicom,
a user-friendly complete library specifically designed to be
exploited by physicians. A preliminary experimental analysis,
performed by a medical expert that used the tool, demonstrates
the efficiency and the effectiveness of Moddicom
Archeologia preventiva: il ruolo delle analisi spaziali e del remote sensing nei modelli predittivi
In questo lavoro viene presentata la redazione di uno stato
dell'arte relativo alle applicazioni delle ICT, in particolare i
In vivo confocal microscopy of an apparent deep stroma corneal dystrophy: a case report
A 41-year-old white woman was referred to our Department to rule out the presence of a Fuch's corneal dystrophy. On slit-lamp biomicroscopy, small bilateral punctuate opacities appearing mostly in the posterior stroma were observed, suggesting a differential diagnosis of pre-Descemet's dystrophy as opposed to Cornea Farinata
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