5,426 research outputs found
DINI Institutional Repository Certification and Beyond
No full textThe DINI certificate for document and publication repositories aims to network document and publication repositories by pushing the use of standards and promoting interoperability and cooperation between German higher education institutions that run digital repositories.
With the certificate DINI provides an instrument for the repository operators that could be used to raise the visibility, the recognition, and the importance of the digital repository within the university.
The certificate shows potential users and authors of digital documents that a certain quality level in operating the repository is guaranteed and that this distinguishes it from common web servers of institutions. The certificate consists of the following criteria:
Server Policy
Authors Support
Legal Issues
Authenticity and Data Integrity
Indexing (Subject Indexing, Metadata, Export)
Statistics and Impact
Longterm Preservation
In addition, DINI sees its certificate as an instrument to support the Open Access concept. This certificate can be viewed as a "soft certificate", where the coaching idea prevails. It works on the basis of self disclosure by the repositories.
This talk will summarize the certification experiences made by DINI, explain the new version of the DINI certificate 2006, how it supports Open Access and how it distinguishes itself from other certification efforts, like the nestor or the RLG approaches
Boron isotope systematics and petrologic inferences of high-evolved pegmatites of the Itremo Group, Central Madagarcar.
No full textOral presentation- Communicating author: Pezzotta F
Optimization problems with quasiconvex inequality constraints
No full textThe constrained optimization problem min f(x), gj(x) 0 (j = 1, . . . , p) is considered, where f : X ! R and gj : X ! R are nonsmooth functions with domain X Rn. First-order necessary and first-order sufficient optimality conditions are obtained when gj are quasiconvex functions. Two are the main features of the paper: to treat nonsmooth problems it makes use of the Dini derivative; to obtain more sensitive conditions, it admits directionally dependent multipliers. The two cases, where the Lagrange function satisfies a non-strict and a strict inequality, are considered. In the case of a non-strict inequality pseudoconvex functions are involved and in their terms some properties of the convex programming problems are generalized. The efficiency of the obtained conditions is illustrated on an example. Key words: Nonsmooth optimization, Dini directional derivatives, quasiconvex functions, pseudoconvex functions, quasiconvex programming, Kuhn-Tucker conditions.
The evolving dynamics of the internet layered architecture - innovation, net neutrality and the interdependence of structure and function
No full text"Il ruolo del Ca2+ intracellulare nella cardiotossicità da doxorubicina" Autori: I. Dini, R. Steffanini, V. Calderaro, E. Lampa, F. Rossi
No full textChemical sensors based on image detectors
No full textI sistemi olfattivi artificiali, in analogia con l’olfatto biologico, sono costituiti da array di sensori chimici parzialmente selettivi. Tuttavia, alcune importanti caratteristiche dei sistemi olfattivi biologici, come l’elevato numero di recettori, la convergenza dei neuroni nei glomeruli ed il ruolo attivo della mucosa devono ancora essere implementati i sistemi artificiali per incrementarne le similitudini.
Una tecniche di trasduzione semplice e diretta per sensori chimici è basata sulla modifica delle proprietà ottiche come l’assorbanza e la luminescenza. Tra i vari dispositivi disponibili per la misura di tali proprietà, la tecnica CSPT (Computer Screen Photo-assisted Technique), basata su un sensore di immagine, permette la misura simultanea delle proprietà ottiche di un enorme numero di sensori. Il CSPT fornisce un metodo per lo sviluppo di sistemi sensoriali per i quali la similitudine tra natura e tecnologia può essere potenziata.
In questa tesi sono state proposte alcune strategie innovative per la realizzazione del materiale sensibile per sensori ottici, con lo scopo di migliorarne le prestazioni nella rilevazione dei composti volatili. Usualmente, il film sensibile è costituito da molecole otticamente sensibili, le quali modificano il proprio spettro di assorbimento in risposta all’interazione con gli analiti, e da una matrice polimerica inerte e gas-permeabile che favorisce l’esposizione delle molecole sensibili ai vapori. Nel corso di questa tesi, l’attenzione si è rivolta ad entrambi i componenti del film sensibile, con lo scopo di controllare e migliorare proprietà quali la sensibilità e la selettività.
Per agire sul primo aspetto, le molecole sensibili, è stato proposto l’uso di aggregati di molecole in materiale nano-strutturato per incrementare le prestazioni. E’ stato dimostrato che nano-aggregati di porfirine di forma tubulare conferiscono un’aumentata sensibilità al film sensibile rispetto ai singoli costituenti. Per quanto riguarda il secondo aspetto, la matrice polimerica, è stato dapprima studiato l’effetto di differenti polimeri nei quali è stato disperso un unico indicatore colorimetrico. Si è dimostrato che un array di diversi polimeri può essere utilizzato per discriminare tra vari composti volatili grazie al differente partizionamento che contribuisce alla discriminazione degli analiti. Anche la diffusione del gas attraverso una fase polimerica è cruciale nelle tecniche di chimica analitica, così come nella mucosa dell’epitelio olfattivo biologico. Pertanto, si è studiata la diffusione di diversi gas e vapori attraverso uno strato uniforme di polimero funzionalizzato con una singola porfirina. In tal modo è stato possibile separare e discriminare i composti volatili, introducendo le proprietà della mucosa biologica in un sistema olfattivo artificiale. È auspicabile che tale approccio “bio-mimetico” possa essere introdotto nello sviluppo di nuovi sensori chimici. Infine, tali osservazioni sperimentali sono state combinate per sviluppare una piattaforma di olfatto artificiale caratterizzata da ulteriori proprietà dell’olfatto biologico, tra cui l’elevato numero di recettori, la convergenza nello strato glomerulare e l’insorgere di pattern spazio-temporali nella risposta dei sensori.Artificial sensor systems, similarly to biological olfaction, are conceived as arrays of partially selective chemical sensors. Significant issues of natural olfaction such as the large number of olfactory neurons, the convergence of receptors on a glomerular layer, and the active role of the olfactory mucosa still needs to be implemented to further increase the similitude between natural and artificial systems.
Straightforward techniques for chemical sensing are those based on the modification of optical properties such as absorbance and luminescence. Among the devices available to measure the optical features, the Computer Screen Photo-Assisted Technique (CSPT), being based on an image detector, allows the simultaneous measurement of optical properties of large ensembles of individual sensors. The CSPT provides a tool to develop sensing systems where the resemblance between nature and technology may be enhanced.
In this thesis novel strategies for the design of sensing materials for optical sensors are proposed to improve the detection capabilities of image sensors. A sensing layer usually consists of an optically responsive molecule, that changes its absorption spectrum in response to analytes, and an inert and gas permeable polymeric support that allows a more efficient exposure of the sensing molecule to vapours. Herein, the attention was focused on both the standard components of a sensing layer with the aim to control features such as sensitivity and selectivity.
On the one hand, nano-structured arrangements were investigated to enhance the performances of sensing molecules. A tubular self assembled formation of two different porphyrins was demonstrated to produce an enhancement of performances with respect to the individual units. On the other hand, the effect of matrices made of different polymers to disperse a single indicator was investigated. An array of several polymers containing the same dye was demonstrated to discriminate among a variety of vapours, revealing that the different partitioning of polymers contributes to the analytes recognition. Also the behaviour of gas through a polymeric phase is a fundamental pillar in analytical chemistry, as well as in the biological olfactory mucosa. The diffusion of vapours in uniformly distributed layers of porphyrin-functionalized polymers was studied. This platform is able to separate and detect volatile compounds introducing the olfactory mucosa properties in an artificial sensor system. This bio-mimetic approach is then wished to prompt the development of novel principles to be incorporated in optical sensors. All these findings were combined in order to design an artificial olfaction platform characterized by further biological olfaction features such as a large number of receptors, the convergence into a glomerular layer and the emergence of a spatio-temporal response patterns
On the role played by the work of Ulisse Dini on implicit function theory in the modern differential geometry foundations: the case of the structure of a differentiable manifold, 1
No full textIn this first paper we outline what possible historic-epistemological role might have played the work of Ulisse Dini on implicit function theory in formulating the structure of differentiable manifold, via the basic work of Hassler Whitney. A detailed historiographical recognition about this Dini's work has been done. Further methodological considerations are then made as regards history of mathematics
Simulation Models and Advanced Management Techniques for 5G & Beyond Radio Access Networks
No full textIl 5G sta compiendo una trasformazione significativa del panorama delle reti mobili, introducendo capacità flessibili ed eterogenee che coordinano armoniosamente numerose componenti tecniche dal momento che sono attualmente in fase di sviluppo una grande varietà di servizi avanzati, ognuno dei quali caratterizzato da requisiti diversi. Di conseguenza, appare naturale come il 5G non abbia un'unica interfaccia radio, bensì una famiglia di interfacce radio, tutte opportunamente inserite in un unico framework comune, al fine di rispondere adeguatamente ai diversi casi d'uso.
Tuttavia, la gestione efficace di una così ampia diversità è un obiettivo estremamente ambizioso da raggiungere.
A tal scopo, questo lavoro si pone l'obiettivo di studiare, analizzare e presentare modelli di simulazione, nonché procedure di gestione all’avanguardia delle reti di accesso 5G & Beyond. In particolare, in questa tesi si propone un simulatore system-level ed open source per modellare gli elementi chiave della rete di accesso 5G e supportare quindi l'analisi delle prestazioni di diversi scenari di riferimento. Inoltre, si disamina la NarrowBand IoT, considerata una tecnologia di accesso radio particolarmente promettente per soddisfare i requisiti dello sviluppo 5G & Beyond in ambito Internet of Things (IoT). Infine, si pone un accento sul problema del RAN Slicing sfruttando l'Edge Computing e l'Intelligenza Artificiale, che promettono di trasformare le future reti mobili in infrastrutture che tengano in considerazione i servizi e il canale radio.5th Generation (5G) is providing a significant transformation in the mobile network landscape. It introduces flexible and heterogeneous capabilities to harmoniously blend numerous technical components since a variety of advanced services are being developed, each one entailing different requirements. For this reason, 5G does not have a single air interface, but rather a family of air interfaces to adequately address specific use cases, all plugged into a common framework. Nonetheless, the effective management of such a broad diversity is an extremely ambitious goal to accomplish. To this end, this work pursues the goal of investigating several cutting-edge management techniques and simulation models for 5G & Beyond Radio Access Networks (RANs). Specifically, this thesis presents an open-source system-level tool to model the key elements of the 5G RAN and support the performance analysis of reference scenarios. Moreover, it examines NarrowBand IoT (NB-IoT), which is usually regarded as a promising radio access technology to meet the requirements of the 5G & Beyond development for the Internet of Things (IoT). Finally, it addresses the RAN Slicing problem leveraging Edge Computing and Artificial Intelligence (AI), which promise to turn future mobile networks into service- and radio-aware infrastructures
3D Multiple Target Tracking and Face Pose Estimation with a Rotating and Zooming Camera
No full textWe present two demos of two modules of a surveillance system under development at MICC with the collaboration of Thales. The first demo presents a method for tracking multiple targets in world coordinates using a zooming camera [1]. The method achieves an almost constant standard deviation error of less than 0.3 meters in recovering world coordinate trajectories of multiple moving targets in an area of 70x15 meters. The main novelty relies on exploiting device-tagged text information from the camera encoders to index and then refine at runtime a set of pre-build camera poses (i.e. internal and external camera parameters). Real time camera pose estimation allows to recover world coordinate localizations of moving targets in the presence of large focal length variations [1][2]. In addition to this, scene geometry and appearance variation are also taken into account allowing the system to operate unattended for several hours [3]. The second module estimates the orientation of target face provided that the target is taken in a sufficient high resolution. Once head localization is obtained within the frame using the first module (a fixed height of a person is assumed), the camera begins moving and zooming to center it within the camera view [4][5].
References
[1] A. Del Bimbo G. Lisanti F. Pernici. Scale Invariant 3D Multi-Person Tracking using a Base Set of Bundle Adjusted Visual Landmarks. Proc. of ICCV Int'l Workshop on Visual Surveillance (VS) 2009. Kyoto, Japan.
[2] A. Del Bimbo, G. Lisanti, I. Masi, F. Pernici. Person Detection using Temporal and Geometric Context with a Pan Tilt Zoom Camera. In Proc. of the International Conference on Pattern Recognition (ICPR) 2010. Istanbul, Turkey.
[3] A. Del Bimbo, G. Lisanti, I. Masi, Pernici F. Device-Tagged Feature-based Localization and Mapping of Wide Areas with a PTZ Camera. In Proc. of CVPR International Workshop on Socially Intelligent Surveillance and Monitoring (SISM) 2010. San Francisco, CA, USA
[4] A. Del Bimbo, F. Dini, and G. Lisanti, "A real time solution for face logging," in Proc. of Int’l Conference on Imaging for Crime Detection and Prevention (ICDP), London, United Kingdom, 2009.
[5] A. D. Bagdanov, A. Del Bimbo, and W. Nunziati, "Improving Evidential Quality of Surveillance Imagery Through Active Face Tracking" 18th Int’l Conf. on Pattern Recognition, 2006
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