Conversione per il Semantic Web di dati Turistico-Culturali: il progetto QRPlaces - Semantic Events

Il progetto QRPlaces - Semantic Events, oggetto di questo lavoro, focalizza l’attenzione sull’analisi, la progettazione e l’implementazione di un sistema che sia in grado di modellare i dati, relativi a diversi eventi facenti parte del patrimonio turistico - culturale della Regione Emilia Romagna 1, rendendo evidenti i vantaggi associati ad una rappresentazione formale incentrata sulla Semantica. I dati turistico - culturali sono intesi in questo ambito sia come una rappresentazione di “qualcosa che accade in un certo punto ad un certo momento” (come ad esempio un concerto, una sagra, una raccolta fondi, una rappresentazione teatrale e quant’altro) sia come tradizioni e costumi che costituiscono il patrimonio turistico-culturale e a cui si fa spesso riferimento con il nome di “Cultural Heritage”. Essi hanno la caratteristica intrinseca di richiedere una conoscenza completa di diverse informa- zioni correlata, come informazioni di geo localizzazione relative al luogo fisico che ospita l’evento, dati biografici riferiti all’autore o al soggetto che è presente nell’evento piuttosto che riferirsi ad informazioni che descrivono nel dettaglio tutti gli oggetti, come teatri, cinema, compagnie teatrali che caratterizzano l’evento stesso. Una corretta rappresentazione della conoscenza ad essi legata richiede, pertanto, una modellazione in cui i dati possano essere interconnessi, rivelando un valore informativo che altrimenti resterebbe nascosto. Il lavoro svolto ha avuto lo scopo di realizzare un dataset rispondente alle caratteristiche tipiche del Semantic Web grazie al quale è stato possibile potenziare il circuito di comunicazione e informazione turistica QRPlaces 2. Nello specifico, attraverso la conversione ontologica di dati di vario genere relativi ad eventi dislocati nel territorio, e sfruttando i principi e le tecnologie del Linked Data, si è cercato di ottenere un modello informativo quanto più possibile correlato e arricchito da dati esterni. L’obiettivo finale è stato quello di ottenere una sorgente informativa di dati interconnessi non solo tra loro ma anche con quelli presenti in sorgenti esterne, dando vita ad un percorso di collegamenti in grado di evidenziare una ricchezza informativa utilizzabile per la creazione di valore aggiunto che altrimenti non sarebbe possibile ottenere. Questo aspetto è stato realizzato attraverso un’in- terfaccia di MashUp che utilizza come sorgente il dataset creato e tutti i collegamenti con la rete del Linked Data, in grado di reperire informazioni aggiuntive multi dominio.

Progettazione e sviluppo di una versione distribuita di un algoritmo di subspace clustering

Il task del data mining si pone come obiettivo l'estrazione automatica di schemi significativi da grandi quantità di dati. Un esempio di schemi che possono essere cercati sono raggruppamenti significativi dei dati, si parla in questo caso di clustering. Gli algoritmi di clustering tradizionali mostrano grossi limiti in caso di dataset ad alta dimensionalità, composti cioè da oggetti descritti da un numero consistente di attributi. Di fronte a queste tipologie di dataset è necessario quindi adottare una diversa metodologia di analisi: il subspace clustering. Il subspace clustering consiste nella visita del reticolo di tutti i possibili sottospazi alla ricerca di gruppi signicativi (cluster). Una ricerca di questo tipo è un'operazione particolarmente costosa dal punto di vista computazionale. Diverse ottimizzazioni sono state proposte al fine di rendere gli algoritmi di subspace clustering più efficienti. In questo lavoro di tesi si è affrontato il problema da un punto di vista diverso: l'utilizzo della parallelizzazione al fine di ridurre il costo computazionale di un algoritmo di subspace clustering.

Analisi delle funzionalità respiratorie: monitoraggio della respirazione attraverso uno stetoscopio elettronico

Implementazione di un prototipo di un sistema di monitoraggio delle apnee notturne su un soggetto attraverso uno stetoscopio elettronico.

Cache-aware development of high integrity real-time systems

Cost, performance and availability considerations are forcing even the most conservative high-integrity embedded real-time systems industry to migrate from simple hardware processors to ones equipped with caches and other acceleration features. This migration disrupts the practices and solutions that industry had developed and consolidated over the years to perform timing analysis. Industry that are confident with the efficiency/effectiveness of their verification and validation processes for old-generation processors, do not have sufficient insight on the effects of the migration to cache-equipped processors. Caches are perceived as an additional source of complexity, which has potential for shattering the guarantees of cost- and schedule-constrained qualification of their systems. The current industrial approach to timing analysis is ill-equipped to cope with the variability incurred by caches. Conversely, the application of advanced WCET analysis techniques on real-world industrial software, developed without analysability in mind, is hardly feasible. We propose a development approach aimed at minimising the cache jitters, as well as at enabling the application of advanced WCET analysis techniques to industrial systems. Our approach builds on:(i) identification of those software constructs that may impede or complicate timing analysis in industrial-scale systems; (ii) elaboration of practical means, under the model-driven engineering (MDE) paradigm, to enforce the automated generation of software that is analyzable by construction; (iii) implementation of a layout optimisation method to remove cache jitters stemming from the software layout in memory, with the intent of facilitating incremental software development, which is of high strategic interest to industry. The integration of those constituents in a structured approach to timing analysis achieves two interesting properties: the resulting software is analysable from the earliest releases onwards - as opposed to becoming so only when the system is final - and more easily amenable to advanced timing analysis by construction, regardless of the system scale and complexity.

Analog Signal Acquisition and Conditioning for Near-Field Capacitive Communication and Active Combined EEG-EIT Monitoring

The work of the present thesis is focused on the implementation of microelectronic voltage sensing devices, with the purpose of transmitting and extracting analog information between devices of different nature at short distances or upon contact. Initally, chip-to-chip communication has been studied, and circuitry for 3D capacitive coupling has been implemented. Such circuits allow the communication between dies fabricated in different technologies. Due to their novelty, they are not standardized and currently not supported by standard CAD tools. In order to overcome such burden, a novel approach for the characterization of such communicating links has been proposed. This results in shorter design times and increased accuracy. Communication between an integrated circuit (IC) and a probe card has been extensively studied as well. Today wafer probing is a costly test procedure with many drawbacks, which could be overcome by a different communication approach such as capacitive coupling. For this reason wireless wafer probing has been investigated as an alternative approach to standard on-contact wafer probing. Interfaces between integrated circuits and biological systems have also been investigated. Active electrodes for simultaneous electroencephalography (EEG) and electrical impedance tomography (EIT) have been implemented for the first time in a 0.35 um process. Number of wires has been minimized by sharing the analog outputs and supply on a single wire, thus implementing electrodes that require only 4 wires for their operation. Minimization of wires reduces the cable weight and thus limits the patient's discomfort. The physical channel for communication between an IC and a biological medium is represented by the electrode itself. As this is a very crucial point for biopotential acquisitions, large efforts have been carried in order to investigate the different electrode technologies and geometries and an electromagnetic model is presented in order to characterize the properties of the electrode to skin interface.

Optical Design for Automatic Identification and Portable Systems

This thesis proposes design methods and test tools, for optical systems, which may be used in an industrial environment, where not only precision and reliability but also ease of use is important. The approach to the problem has been conceived to be as general as possible, although in the present work, the design of a portable device for automatic identification applications has been studied, because this doctorate has been funded by Datalogic Scanning Group s.r.l., a world-class producer of barcode readers. The main functional components of the complete device are: electro-optical imaging, illumination and pattern generator systems. For what concerns the electro-optical imaging system, a characterization tool and an analysis one has been developed to check if the desired performance of the system has been achieved. Moreover, two design tools for optimizing the imaging system have been implemented. The first optimizes just the core of the system, the optical part, improving its performance ignoring all other contributions and generating a good starting point for the optimization of the whole complex system. The second tool optimizes the system taking into account its behavior with a model as near as possible to reality including optics, electronics and detection. For what concerns the illumination and the pattern generator systems, two tools have been implemented. The first allows the design of free-form lenses described by an arbitrary analytical function exited by an incoherent source and is able to provide custom illumination conditions for all kind of applications. The second tool consists of a new method to design Diffractive Optical Elements excited by a coherent source for large pattern angles using the Iterative Fourier Transform Algorithm. Validation of the design tools has been obtained, whenever possible, comparing the performance of the designed systems with those of fabricated prototypes. In other cases simulations have been used.

L'area dei Lungarni di Pisa nel tardo Medioevo (XIV-XV secolo). un tentativo di ricostruzione in 3D.

Lo scopo di questa ricerca è la ricostruzione dei Lungarni di Pisa nel Tardo Medioevo (XIV-XV secolo); lo studio intende sottolineare le trasformazioni urbanistiche che hanno cambiato il volto di Pisa nel corso del tempo e ricordare che l’area fluviale ebbe un ruolo di primo piano come baricentro commerciale ed economico della città, vocazione che si è in gran parte persa con l’età moderna e contemporanea. La metodologia seguita, affinata e perfezionata durante la partecipazione al progetto Nu.M.E. (Nuovo Museo Elettronico della Città di Bologna), si basa sull’analisi e il confronto di fonti eterogenee ma complementari, che includono precedenti studi di storia dell’urbanistica, un corpus di documentazione di epoca medievale (provvedimenti amministrativi come gli Statuti del Comune di Pisa, ma anche descrizioni di cronisti e viaggiatori), fonti iconografiche, tra cui vedute e mappe cinquecentesche o successive, e fonti materiali, come le persistenze medievali ancora osservabili all’interno degli edifici ed i reperti rinvenuti durante alcune campagne di scavo archeologiche. Il modello 3D non è concepito come statico e “chiuso”, ma è liberamente esplorabile all’interno di un engine tridimensionale; tale prodotto può essere destinato a livelli di utenza diversi, che includono sia studiosi e specialisti interessati a conoscere un maggior numero di informazioni e ad approfondire la ricerca, sia semplici cittadini appassionati di storia o utenti più giovani, come studenti di scuole medie superiori e inferiori.

Enabling a direct path from end-user specifications to executable protocols in a biology laboratory environment

Biomedical analyses are becoming increasingly complex, with respect to both the type of the data to be produced and the procedures to be executed. This trend is expected to continue in the future. The development of information and protocol management systems that can sustain this challenge is therefore becoming an essential enabling factor for all actors in the field. The use of custom-built solutions that require the biology domain expert to acquire or procure software engineering expertise in the development of the laboratory infrastructure is not fully satisfactory because it incurs undesirable mutual knowledge dependencies between the two camps. We propose instead an infrastructure concept that enables the domain experts to express laboratory protocols using proper domain knowledge, free from the incidence and mediation of the software implementation artefacts. In the system that we propose this is made possible by basing the modelling language on an authoritative domain specific ontology and then using modern model-driven architecture technology to transform the user models in software artefacts ready for execution in a multi-agent based execution platform specialized for biomedical laboratories.

Multi Processor Systems On Chip with Configurable Hardware Acceleration

The evolution of the electronics embedded applications forces electronics systems designers to match their ever increasing requirements. This evolution pushes the computational power of digital signal processing systems, as well as the energy required to accomplish the computations, due to the increasing mobility of such applications. Current approaches used to match these requirements relies on the adoption of application specific signal processors. Such kind of devices exploits powerful accelerators, which are able to match both performance and energy requirements. On the other hand, the too high specificity of such accelerators often results in a lack of flexibility which affects non-recurrent engineering costs, time to market, and market volumes too. The state of the art mainly proposes two solutions to overcome these issues with the ambition of delivering reasonable performance and energy efficiency: reconfigurable computing and multi-processors computing. All of these solutions benefits from the post-fabrication programmability, that definitively results in an increased flexibility. Nevertheless, the gap between these approaches and dedicated hardware is still too high for many application domains, especially when targeting the mobile world. In this scenario, flexible and energy efficient acceleration can be achieved by merging these two computational paradigms, in order to address all the above introduced constraints. This thesis focuses on the exploration of the design and application spectrum of reconfigurable computing, exploited as application specific accelerators for multi-processors systems on chip. More specifically, it introduces a reconfigurable digital signal processor featuring a heterogeneous set of reconfigurable engines, and a homogeneous multi-core system, exploiting three different flavours of reconfigurable and mask-programmable technologies as implementation platform for applications specific accelerators. In this work, the various trade-offs concerning the utilization multi-core platforms and the different configuration technologies are explored, characterizing the design space of the proposed approach in terms of programmability, performance, energy efficiency and manufacturing costs.