10 resultados para CIDOC Conceptual Reference Model

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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Pervasive Sensing is a recent research trend that aims at providing widespread computing and sensing capabilities to enable the creation of smart environments that can sense, process, and act by considering input coming from both people and devices. The capabilities necessary for Pervasive Sensing are nowadays available on a plethora of devices, from embedded devices to PCs and smartphones. The wide availability of new devices and the large amount of data they can access enable a wide range of novel services in different areas, spanning from simple data collection systems to socially-aware collaborative filtering. However, the strong heterogeneity and unreliability of devices and sensors poses significant challenges. So far, existing works on Pervasive Sensing have focused only on limited portions of the whole stack of available devices and data that they can use, to propose and develop mainly vertical solutions. The push from academia and industry for this kind of services shows that time is mature for a more general support framework for Pervasive Sensing solutions able to enhance frail architectures, promote a well balanced usage of resources on different devices, and enable the widest possible access to sensed data, while ensuring a minimal energy consumption on battery-operated devices. This thesis focuses on pervasive sensing systems to extract design guidelines as foundation of a comprehensive reference model for multi-tier Pervasive Sensing applications. The validity of the proposed model is tested in five different scenarios that present peculiar and different requirements, and different hardware and sensors. The ease of mapping from the proposed logical model to the real implementations and the positive performance result campaigns prove the quality of the proposed approach and offer a reliable reference model, together with a direction for the design and deployment of future Pervasive Sensing applications.

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Questa tesi propone un indagine sulla memoria del retorno a partire da una prospettiva critica che assume il “sud globale di lingua portoghese” come spazio storico e concettuale di riferimento. Si riflette sull'idea di specificità attribuita alla colonizzazione promossa dal Portogallo in Africa tenendo conto delle contraddizioni associate al movimento migratorio innescato dal processo violento di decolonizzazione dell’Africa portoghese.
 Le memorie trauamatiche sul retorno espongono la violenza come componente costitutiva della realtà coloniale ma ripropongono anche dinamiche che permettono l’occultamento del razzismo. L'esplorazione della “soffitta”, assunta come metafora della memoria familiare custodita nello spazio domestico, accompagna quella dell’archivio pubblico. L’analisi dell’archivio ufficiale e della memoria familiare riflette il tentativo di stabilire un dialogo tra storia e memoria superando la logica di antitesi che tradizionalmente le contrappone. Utilizzando il concetto criticamente problematico di “postmemoria” si riflette sulla riconfigurazione del rapporto con il passato in funzione di un’idea di “eredità come compito” assunto nel presente). La possibilità di “salvare” il passato dalla progressiva scomparsa dei testimoni comporta un pericolo di abuso ideologico connaturato al processo di trasmissione. La traduzione delle memorie coloniali sul retorno dallo spazio intimo allo spazio del dibattito pubblico mostra la relazione tra la costruzione della mitologia familiare e l’adozione del discorso lusotropicale. Il tentativo di definire la natura indecifrabile del retornado comporta la possibilità di sanzionare la violenza coloniale negando una responsabilità collettiva riferita al colonialismo. Si presenta il tentativo di configurare i termini di una questione post-coloniale portoghese dai contorni opachi. Questa tesi approda ad una conclusione aperta, articolata sul rischio sempre presente di appropriazione delle categorie critiche post-coloniali da parte dell’ideologia egemonica. Attraverso le (post)memorie (post)coloniali la denuncia del razzismo in quanto eredità permanente e la riconfigurazione dell’archivio coloniale costituiscono operazioni possibili, necessarie, ma non per questo scontate o prive di rischi.

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La ricerca si pone come obbiettivo principale quello di individuare gli strumenti in grado di controllare la qualità di una progettazione specifica che risponde alle forti richieste della domanda turistica di un territorio. Parte dalle più semplici teorie che inquadrano una costante condizione dell’uomo, “il VIAGGIARE”. La ricerca si pone come primo interrogativo quello definire una “dimensione” in cui le persone viaggiano, dove il concetto fisico di spazio dedicato alla vita si è spostato come e quanto si sposta la gente. Esiste una sorta di macroluogo (destinazione) che comprende tutti gli spazi dove la gente arriva e da cui spesso riparte. Pensare all'architettura dell’ospitalità significa indagare e comprendere come la casa non è più il solo luogo dove la gente abita. La ricerca affonda le proprie tesi sull’importanza dei “luoghi” appartenenti ad un territorio e come essi debbano riappropriarsi, attraverso un percorso progettuale, della loro più stretta vocazione attrattiva. Così come si sviluppa un’architettura dello stare, si manifesta un’architettura dello spostarsi e tali architetture si confondono e si integrano ad un territorio che per sua natura è esso stesso attrattivo. L’origine terminologica di nomadismo è passaggio necessario per la comprensione di una nuova dimensione architettonica legata a concetti quali mobilità e abitare. Si indaga pertanto all’interno della letteratura “diasporica”, in cui compaiono le prime configurazioni legate alla provvisorietà e alle costruzioni “erranti”. In sintesi, dopo aver posizionato e classificato il fenomeno turistico come nuova forma dell’abitare, senza il quale non si potrebbe svolgere una completa programmazione territoriale in quanto fenomeno oramai imprescindibile, la ricerca procede con l’individuazione di un ambito inteso come strumento di indagine sulle relazioni tra le diverse categorie e “tipologie” turistiche. La Riviera Romagnola è sicuramente molto famosa per la sua ospitalità e per le imponenti infrastrutture turistiche ma a livello industriale non è meno famosa per il porto di Ravenna che costituisce un punto di riferimento logistico per lo scambio di merci e materie prime via mare, oltre che essere, in tutta la sua estensione, caso di eccellenza. La provincia di Ravenna mette insieme tutti i fattori che servono a soddisfare le Total Leisure Experience, cioè esperienze di totale appagamento durante la vacanza. Quello che emerge dalle considerazioni svolte sul territorio ravennate è che il turista moderno non va più in cerca di una vacanza monotematica, in cui stare solo in spiaggia o occuparsi esclusivamente di monumenti e cultura. La richiesta è quella di un piacere procurato da una molteplicità di elementi. Pensiamo ad un distretto turistico dove l’offerta, oltre alla spiaggia o gli itinerari culturali, è anche occasione per fare sport o fitness, per rilassarsi in luoghi sereni, per gustare o acquistare cibi tipici e, allo stesso tempo, godere degli stessi servizi che una persona può avere a disposizione nella propria casa. Il percorso, finalizzato a definire un metodo di progettazione dell’ospitalità, parte dalla acquisizione delle esperienze nazionali ed internazionali avvenute negli ultimi dieci anni. La suddetta fase di ricerca “tipologica” si è conclusa in una valutazione critica che mette in evidenza punti di forza e punti di debolezza delle esperienze prese in esame. La conclusione di questa esplorazione ha prodotto una prima stesura degli “obbiettivi concettuali” legati alla elaborazione di un modello architettonico. Il progetto di ricerca in oggetto converge sul percorso tracciato dai Fiumi Uniti in Ravenna. Tale scelta consente di prendere in considerazione un parametro che mostri fattori di continuità tra costa e città, tra turismo balneare e turismo culturale, considerato quindi come potenziale strumento di connessione tra realtà spesso omologhe o complementari, in vista di una implementazione turistica che il progetto di ricerca ha come primo tra i suoi obiettivi. Il tema dell’architettura dell’ospitalità, che in questo caso si concretizza nell’idea di sperimentare l’ALBERGO DIFFUSO, è quello che permette di evidenziare al meglio la forma specifica della cultura locale, salvandone la vocazione universale. La proposta progettuale si articola in uno studio consequenziale ed organico in grado di promuovere una riflessione originale sul tema del modulo “abitativo” nei luoghi di prossimità delle emergenze territoriali di specifico interesse, attorno alle quali la crescente affluenza di un’utenza fortemente differenziata evidenzia la necessità di nodi singolari che si prestino a soddisfare una molteplicità di usi in contesti di grande pregio.

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The presented study carried out an analysis on rural landscape changes. In particular the study focuses on the understanding of driving forces acting on the rural built environment using a statistical spatial model implemented through GIS techniques. It is well known that the study of landscape changes is essential for a conscious decision making in land planning. From a bibliography review results a general lack of studies dealing with the modeling of rural built environment and hence a theoretical modelling approach for such purpose is needed. The advancement in technology and modernity in building construction and agriculture have gradually changed the rural built environment. In addition, the phenomenon of urbanization of a determined the construction of new volumes that occurred beside abandoned or derelict rural buildings. Consequently there are two types of transformation dynamics affecting mainly the rural built environment that can be observed: the conversion of rural buildings and the increasing of building numbers. It is the specific aim of the presented study to propose a methodology for the development of a spatial model that allows the identification of driving forces that acted on the behaviours of the building allocation. In fact one of the most concerning dynamic nowadays is related to an irrational expansion of buildings sprawl across landscape. The proposed methodology is composed by some conceptual steps that cover different aspects related to the development of a spatial model: the selection of a response variable that better describe the phenomenon under study, the identification of possible driving forces, the sampling methodology concerning the collection of data, the most suitable algorithm to be adopted in relation to statistical theory and method used, the calibration process and evaluation of the model. A different combination of factors in various parts of the territory generated favourable or less favourable conditions for the building allocation and the existence of buildings represents the evidence of such optimum. Conversely the absence of buildings expresses a combination of agents which is not suitable for building allocation. Presence or absence of buildings can be adopted as indicators of such driving conditions, since they represent the expression of the action of driving forces in the land suitability sorting process. The existence of correlation between site selection and hypothetical driving forces, evaluated by means of modeling techniques, provides an evidence of which driving forces are involved in the allocation dynamic and an insight on their level of influence into the process. GIS software by means of spatial analysis tools allows to associate the concept of presence and absence with point futures generating a point process. Presence or absence of buildings at some site locations represent the expression of these driving factors interaction. In case of presences, points represent locations of real existing buildings, conversely absences represent locations were buildings are not existent and so they are generated by a stochastic mechanism. Possible driving forces are selected and the existence of a causal relationship with building allocations is assessed through a spatial model. The adoption of empirical statistical models provides a mechanism for the explanatory variable analysis and for the identification of key driving variables behind the site selection process for new building allocation. The model developed by following the methodology is applied to a case study to test the validity of the methodology. In particular the study area for the testing of the methodology is represented by the New District of Imola characterized by a prevailing agricultural production vocation and were transformation dynamic intensively occurred. The development of the model involved the identification of predictive variables (related to geomorphologic, socio-economic, structural and infrastructural systems of landscape) capable of representing the driving forces responsible for landscape changes.. The calibration of the model is carried out referring to spatial data regarding the periurban and rural area of the study area within the 1975-2005 time period by means of Generalised linear model. The resulting output from the model fit is continuous grid surface where cells assume values ranged from 0 to 1 of probability of building occurrences along the rural and periurban area of the study area. Hence the response variable assesses the changes in the rural built environment occurred in such time interval and is correlated to the selected explanatory variables by means of a generalized linear model using logistic regression. Comparing the probability map obtained from the model to the actual rural building distribution in 2005, the interpretation capability of the model can be evaluated. The proposed model can be also applied to the interpretation of trends which occurred in other study areas, and also referring to different time intervals, depending on the availability of data. The use of suitable data in terms of time, information, and spatial resolution and the costs related to data acquisition, pre-processing, and survey are among the most critical aspects of model implementation. Future in-depth studies can focus on using the proposed model to predict short/medium-range future scenarios for the rural built environment distribution in the study area. In order to predict future scenarios it is necessary to assume that the driving forces do not change and that their levels of influence within the model are not far from those assessed for the time interval used for the calibration.

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Background and aims: Sorafenib is the reference therapy for advanced Hepatocellular Carcinoma (HCC). No method exists to predict in the very early period subsequent individual response. Starting from the clinical experience in humans that subcutaneous metastases may rapidly change consistency under sorafenib and that elastosonography a new ultrasound based technique allows assessment of tissue stiffness, we investigated the role of elastonography in the very early prediction of tumor response to sorafenib in a HCC animal model. Methods: HCC (Huh7 cells) subcutaneous xenografting in mice was utilized. Mice were randomized to vehicle or treatment with sorafenib when tumor size was 5-10 mm. Elastosonography (Mylab 70XVG, Esaote, Genova, Italy) of the whole tumor mass on a sagittal plane with a 10 MHz linear transducer was performed at different time points from treatment start (day 0, +2, +4, +7 and +14) until mice were sacrified (day +14), with the operator blind to treatment. In order to overcome variability in absolute elasticity measurement when assessing changes over time, values were expressed in arbitrary units as relative stiffness of the tumor tissue in comparison to the stiffness of a standard reference stand-off pad lying on the skin over the tumor. Results: Sor-treated mice showed a smaller tumor size increase at day +14 in comparison to vehicle-treated (tumor volume increase +192.76% vs +747.56%, p=0.06). Among Sor-treated tumors, 6 mice showed a better response to treatment than the other 4 (increase in volume +177% vs +553%, p=0.011). At day +2, median tumor elasticity increased in Sor-treated group (+6.69%, range –30.17-+58.51%), while decreased in the vehicle group (-3.19%, range –53.32-+37.94%) leading to a significant difference in absolute values (p=0.034). From this time point onward, elasticity decreased in both groups, with similar speed over time, not being statistically different anymore. In Sor-treated mice all 6 best responders at day 14 showed an increase in elasticity at day +2 (ranging from +3.30% to +58.51%) in comparison to baseline, whereas 3 of the 4 poorer responders showed a decrease. Interestingly, these 3 tumours showed elasticity values higher than responder tumours at day 0. Conclusions: Elastosonography appears a promising non-invasive new technique for the early prediction of HCC tumor response to sorafenib. Indeed, we proved that responder tumours are characterized by an early increase in elasticity. The possibility to distinguish a priori between responders and non responders based on the higher elasticity of the latter needs to be validated in ad-hoc experiments as well as a confirmation of our results in humans is warranted.

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Management and organization literature has extensively noticed the crucial role that improvisation assumes in organizations, both as a learning process (Miner, Bassoff & Moorman, 2001), a creative process (Fisher & Amabile, 2008), a capability (Vera & Crossan, 2005), and a personal disposition (Hmielesky & Corbett, 2006; 2008). My dissertation aims to contribute to the existing literature on improvisation, addressing two general research questions: 1) How does improvisation unfold at an individual level? 2) What are the potential antecedents and consequences of individual proclivity to improvise? This dissertation is based on a mixed methodology that allowed me to deal with these two general research questions and enabled a constant interaction between the theoretical framework and the empirical results. The selected empirical field is haute cuisine and the respondents are the executive chefs of the restaurants awarded by Michelin Guide in 2010 in Italy. The qualitative section of the dissertation is based on the analysis of 26 inductive case studies and offers a multifaceted contribution. First, I describe how improvisation works both as a learning and creative process. Second, I introduce a new categorization of individual improvisational scenarios (demanded creative improvisation, problem solving improvisation, and pure creative improvisation). Third, I describe the differences between improvisation and other creative processes detected in the field (experimentation, brainstorming, trial and error through analytical procedure, trial and error, and imagination). The quantitative inquiry is founded on a Structural Equation Model, which allowed me to test simultaneously the relationships between proclivity to improvise and its antecedents and consequences. In particular, using a newly developed scale to measure individual proclivity to improvise, I test the positive influence of industry experience, self-efficacy, and age on proclivity to improvise and the negative impact of proclivity to improvise on outcome deviation. Theoretical contributions and practical implications of the results are discussed.

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A recent initiative of the European Space Agency (ESA) aims at the definition and adoption of a software reference architecture for use in on-board software of future space missions. Our PhD project placed in the context of that effort. At the outset of our work we gathered all the industrial needs relevant to ESA and all the main European space stakeholders and we were able to consolidate a set of technical high-level requirements for the fulfillment of them. The conclusion we reached from that phase confirmed that the adoption of a software reference architecture was indeed the best solution for the fulfillment of the high-level requirements. The software reference architecture we set on building rests on four constituents: (i) a component model, to design the software as a composition of individually verifiable and reusable software units; (ii) a computational model, to ensure that the architectural description of the software is statically analyzable; (iii) a programming model, to ensure that the implementation of the design entities conforms with the semantics, the assumptions and the constraints of the computational model; (iv) a conforming execution platform, to actively preserve at run time the properties asserted by static analysis. The nature, feasibility and fitness of constituents (ii), (iii) and (iv), were already proved by the author in an international project that preceded the commencement of the PhD work. The core of the PhD project was therefore centered on the design and prototype implementation of constituent (i), a component model. Our proposed component model is centered on: (i) rigorous separation of concerns, achieved with the support for design views and by careful allocation of concerns to the dedicated software entities; (ii) the support for specification and model-based analysis of extra-functional properties; (iii) the inclusion space-specific concerns.

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This thesis presents a universal model of documents and deltas. This model formalize what it means to find differences between documents and to shows a single shared formalization that can be used by any algorithm to describe the differences found between any kind of comparable documents. The main scientific contribution of this thesis is a universal delta model that can be used to represent the changes found by an algorithm. The main part of this model are the formal definition of changes (the pieces of information that records that something has changed), operations (the definitions of the kind of change that happened) and deltas (coherent summaries of what has changed between two documents). The fundamental mechanism tha makes the universal delta model a very expressive tool is the use of encapsulation relations between changes. In the universal delta model, changes are not always simple records of what has changed, they can also be combined into more complex changes that reflects the detection of more meaningful modifications. In addition to the main entities (i.e., changes, operations and deltas), the model describes and defines also documents and the concept of equivalence between documents. As a corollary to the model, there is also an extensible catalog of possible operations that algorithms can detect, used to create a common library of operations, and an UML serialization of the model, useful as a reference when implementing APIs that deal with deltas. The universal delta model presented in this thesis acts as the formal groundwork upon which algorithm can be based and libraries can be implemented. It removes the need to recreate a new delta model and terminology whenever a new algorithm is devised. It also alleviates the problems that toolmakers have when adapting their software to new diff algorithms.

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The research hypothesis of the thesis is that “an open participation in the co-creation of the services and environments, makes life easier for vulnerable groups”; assuming that the participatory and emancipatory approaches are processes of possible actions and changes aimed at facilitating people’s lives. The adoption of these approaches is put forward as the common denominator of social innovative practices that supporting inclusive processes allow a shift from a medical model to a civil and human rights approach to disability. The theoretical basis of this assumption finds support in many principles of Inclusive Education and the main focus of the hypothesis of research is on participation and emancipation as approaches aimed at facing emerging and existing problems related to inclusion. The framework of reference for the research is represented by the perspectives adopted by several international documents concerning policies and interventions to promote and support the leadership and participation of vulnerable groups. In the first part an in-depth analysis of the main academic publications on the central themes of the thesis has been carried out. After investigating the framework of reference, the analysis focuses on the main tools of participatory and emancipatory approaches, which are able to connect with the concepts of active citizenship and social innovation. In the second part two case studies concerning participatory and emancipatory approaches in the areas of concern are presented and analyzed as example of the improvement of inclusion, through the involvement and participation of persons with disability. The research has been developed using a holistic and interdisciplinary approach, aimed at providing a knowledge-base that fosters a shift from a situation of passivity and care towards a new scenario based on the person’s commitment in the elaboration of his/her own project of life.

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Spatial prediction of hourly rainfall via radar calibration is addressed. The change of support problem (COSP), arising when the spatial supports of different data sources do not coincide, is faced in a non-Gaussian setting; in fact, hourly rainfall in Emilia-Romagna region, in Italy, is characterized by abundance of zero values and right-skeweness of the distribution of positive amounts. Rain gauge direct measurements on sparsely distributed locations and hourly cumulated radar grids are provided by the ARPA-SIMC Emilia-Romagna. We propose a three-stage Bayesian hierarchical model for radar calibration, exploiting rain gauges as reference measure. Rain probability and amounts are modeled via linear relationships with radar in the log scale; spatial correlated Gaussian effects capture the residual information. We employ a probit link for rainfall probability and Gamma distribution for rainfall positive amounts; the two steps are joined via a two-part semicontinuous model. Three model specifications differently addressing COSP are presented; in particular, a stochastic weighting of all radar pixels, driven by a latent Gaussian process defined on the grid, is employed. Estimation is performed via MCMC procedures implemented in C, linked to R software. Communication and evaluation of probabilistic, point and interval predictions is investigated. A non-randomized PIT histogram is proposed for correctly assessing calibration and coverage of two-part semicontinuous models. Predictions obtained with the different model specifications are evaluated via graphical tools (Reliability Plot, Sharpness Histogram, PIT Histogram, Brier Score Plot and Quantile Decomposition Plot), proper scoring rules (Brier Score, Continuous Rank Probability Score) and consistent scoring functions (Root Mean Square Error and Mean Absolute Error addressing the predictive mean and median, respectively). Calibration is reached and the inclusion of neighbouring information slightly improves predictions. All specifications outperform a benchmark model with incorrelated effects, confirming the relevance of spatial correlation for modeling rainfall probability and accumulation.