261 research outputs found
(Im)Memoriale : ex Ospedale Psichiatrico di Rovigo. VOL III
No full textIl Giornale raccoglie gli esiti della esperienza di didattica e di ricerca del Laboratorio di Restauro del Corso di Laurea in Architettura della Università Iuav di Venezia, in particolare raccoglie una selezione dei materiali della mostra "(IM)Memoriale. Vol I" e i testi dei relatori della giornata studio "(IM)Memoriale. Vol II" con il seguente indice:(Im)Memoriale. Strumenti per un progetto di Restauro. (di Emanuela Sorbo). Gli strumenti di (Im)Memoriale. Una storia di sguardo (di Emanuela Sorbo). Ex OPP di Rovigo. Breve storia di un frammento urbano (di Emanuela Sorbo). Appunti sull'ex Ospedale Psichiatrico di Rovigo (di Rodolfo Fasiol, ULSS 18 Rovigo). Carte da curare: l'archivio storico dell'ex Ospedale Psichiatrico Granzette (di Cristina Tognon, servizio archivistico della Provincia di Rovigo). La conservazione degli ex Ospedali Psichiatrici. Il restauro per la memoria (di Giovanna Battista, SBeAP VR). Ex Ospedali Psichiatrici nel Nord-Est italiano. Urla nel silenzio. (di Ferdinando Zanzottera, Politecnico di Milano). Verso il superamento dell'Ospedale Psichiatrico Giudiziario (di Daniele Veratti, Università di San Marino). Segregazione psichiatrica e controllo sociale (di Francesca Carfora, Psicologa clinica). Il divenir-corpo delle immagini nell'istituzione del manicomio (di Pierpaolo Ascari, Università di Bologna). Progetto come Memoriale (Im)materiale (di Emanuela Sorbo). Padiglione 2. Breve Storia per un frammento (di Emanuela Sorbo). Padiglione 4. Breve Storia per un frammento (di Emanuela Sorbo). Padiglione 5. Breve Storia per un frammento (di Emanuela Sorbo). Padiglione 22. Breve Storia per un frammento (di Emanuela Sorbo). Un Ospedale dell'Arte (di Marco Chiuso). Un polo culturale collettivo per la coltivazione della memoria (di Leila Signorelli). Un'architettura della memoria. Il museo e l'archivio (di Leila Signorelli). Una biblioteca per l'ex OPP (di Marco Chiuso)
Gino Peressutti (1883-1940): la professione dell'architetto fra trasformazioni urbane e grande capitale in Italia nei primi quarant'anni del '900. Il ruolo dell'alta finanza cattolica e vaticana: la contrapposizione con Marco Piacentini fino all'E42, la genesi della città
No full textImmagine. Identità. L'estetica dell'arte contemporanea nella conservazione delle superfici
No full textThe image of cities is determined most decidedly by the surfaces of architecture, which, from one period to the next, reflect oscillations of taste. Surfaces become the reflection both of the culture within which designers operate and of the culture of the community at large. The conservation’s role is to take heed of the needs of the community over time.
There are many physical factors of this transformation, which remains on the borderline between the demands of a cultural nature and aesthetic experience. In particular, the greater attention being paid to the perceptibility of the distinct parts exacerbates the relation at the borderline between, on the one hand, the edge of the lacuna in the plasterwork − conserved as a sign of the passing of time − and, on the other, the still intact parts – with picturesque and, at times, practically Disney-like effects.
In the submitted paper, this acceptance on the part of the community − of lacune, fragmented plaster and the roughness of surfaces − is interpreted in terms of the consolidation of an “informal aesthetics” as adopted by such artists as Alberto Burri. One’s relations with the matter, and expression of the rending or the breaking of matter, become the measure of the relationship that arises over time, considered as a concept linked not to history but authenticity.
In respect of this condition, Damien Hirst’s exhibition, “Treasures from the Wreck of the Unbelievable” (Pinault Collection, Venice 2017) provides a perfect expression of this borderline area between image and authenticity. The exhibition’s recovered fake ‘treasures’ are sculpted in three forms: as emerging from the underwater excavation campaign, restored (conservation) and as ‘redeemed’ in the forms presumed to be original. This ambiguity of choice shows how restoration has become a part of popular culture, as a representation of the work, figuring as a factor whereby breakages, fragmentation and decay play a role in the process of acknowledgement of the authenticity of a given work. This paper aims to investigate these elements starting from an aesthetical analysis of the history and the theory of restoration and conservation, from the postwar period, and verifying this attitude in several contemporary case studies (e.g. the Fortezza fortress by M. Scherer, W. Dietl and R. Riller; the Quai de Branly Museum in Paris by J. Nouvel; the CaixaForum in Madrid by Herzog & de Meuron; Neues Museum in Berlin by D. Chipperfield; Kolumba Museum in Cologne by P. Zumthor, the Santa Marta complex in Verona and the Gonzaga Ducal Palace in Guastalla by M. Carmassi)
Spazio psichiatrico e allegorie della frammentazione. Narrazioni del confine tra interpretazione ed eterotopie
No full textIl tema della alienazione in Italia è particolarmente correlato alla esplorazione del ruolo dell’individuo nel sistema sociale. A partire dalla codifica foucaultiana della genesi della follia, e quindi del tema del recluso (dell’essere al di fuori della società), negli anni ’70 del Novecento si è interpretato lo spazio dell’alienato come la traduzione architettonica di una incapacità dello Stato (o delle politiche di governo del territorio) di far fronte al disagio sociale se non attraverso forme di reclusione coatta dei malati mentali. Questa risposta politica ha dato origine ad un dibattito sugli spazi architettonici che venivano progettati e concepiti come macchine terapeutiche e luoghi di isolamento. A partire da questo assunto teorico si lavora alla decostruzione dello spazio psichiatrico, come metafora (o meglio ricaduta) della frammentazione del concetto di spazio istituzionale, poiché si legge in esso il luogo di un confine tra inclusione ed esclusione sociale
A SCALED GRADIENT PROJECTION METHOD FOR BAYESIAN LEARNING IN DYNAMICAL SYSTEMS
No full textA crucial task in system identification problems is the selection of the most appropriate model class, and is classically addressed resorting to cross-validation or using order selection criteria based on asymptotic arguments. As recently suggested in the literature, this can be addressed in a Bayesian framework, where model complexity is regulated by few hyperparameters, which can be estimated via marginal likelihood maximization. It is thus of primary importance to design effective optimization methods to solve the corresponding optimization problem. If the unknown impulse response is modeled as a Gaussian process with a suitable kernel, the maximization of the marginal likelihood leads to a challenging nonconvex optimization problem, which requires a stable and effective solution strategy.
In this paper we address this problem by means of a scaled gradient projection algorithm, in which the scaling matrix and the steplength parameter play a crucial role to provide a meaningful solution in a computational time comparable with second order methods. In particular, we propose both a generalization of the split gradient approach to design the scaling matrix in the presence of box constraints, and an effective implementation of the gradient and objective function.
The extensive numerical experiments carried out on several test problems show that our method is very effective in providing in few tenths of a second solutions of the problems with accuracy comparable with state-of-the-art approaches. Moreover, the flexibility of the proposed strategy makes it easily adaptable to a wider range of problems arising in different areas of machine learning, signal processing and system identification
“AL VERSO E AL CONTRO”: the marble quarries of Carrara–new perspectives for the cultural and environmental heritage of quarrying in the Apuan Alps
No full textA reading of the heritage of quarries in the Apuan Alps highlights the tension between the preservation of the landscape and the environment, both of which are enshrined in Article 9 of the Italian Constitution. On the one hand, the marble quarrying industry represents the historical and cultural identity of the area, while on the other hand, there is a conflict between traditional mining practices and landscape management when placed in the broader context of renewable energy technologies.
The text proposes a holistic approach to understanding the Apuan quarry context from the perspective of land management that balances cultural values and strategies to enhance the landscape
Harnessing uncertainty for a separation principle in direct data-driven predictive control
No full textModel Predictive Control (MPC) is a powerful method for complex system regulation, but its reliance on an accurate model poses many limitations in real-world applications. Data-driven predictive control (DDPC) aims at overcoming this limitation, by relying on historical data to provide information on the plant to be controlled. In this work, we present a unified stochastic framework for direct DDPC, where control actions are obtained by optimizing the Final Control Error (FCE), which is directly computed from available data only and automatically weighs the impact of uncertainty on the control objective. Our framework allows us to establish a separation principle for Predictive Control, elucidating the role that predictive models and their uncertainty play in DDPC. Moreover, it generalizes existing DDPC methods, like regularized Data-enabled Predictive Control (DeePC) and γ -DDPC, providing a path toward noise-tolerant data-based control with rigorous optimality guarantees. The theoretical investigation is complemented by a series of experiments (code available on GitHub), revealing that the proposed method consistently outperforms or, at worst, matches existing techniques without requiring tuning regularization parameters as other methods do
On the Impact of Regularization in Data-Driven Predictive Control
No full textModel predictive control (MPC) is a control strategy widely used in industrial applications. However, its implementation typically requires a mathematical model of the system being controlled, which can be a time-consuming and expensive task. Data-driven predictive control (DDPC) methods offer an alternative approach that does not require an explicit mathematical model, but instead optimize the control policy directly from data. In this paper, we study the impact of two different regularization penalties on the closed-loop performance of a recently introduced data-driven method called γ -DDPC. Moreover, we discuss the tuning of the related coefficients in different data and noise scenarios, to provide some guidelines for the end user.</p
IL CASO (CAPPATO) È CHIUSO, MA LA QUESTIONE (AGEVOLAZIONE AL SUICIDIO) RESTA APERTA
No full textLa Corte di Assise di Milano, assolvendo dall'imputazione di aiuto al suicidio Marco Cappato, dando seguito alla sentenza n. 242 del 2919 della Corte costituzionale ha chiuso il caso specifico, lasciando tuttavia aperte rilevanti questioni legate ai margini di liceizzazione dell'agevolazione al suicidio in presenza di determinate condizioni oggettive e soggettive
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