778 research outputs found
Le "relazioni predilette di un tempo". Note sul carteggio di Augusto Torre con Gaetano Salvemini e Gioacchino Volpe
No full textIl testo analizza la corrispondenza epistolare tra lo storico Augusto Torre e due grandi protagonisti della storiografia italiana della prima metà del Novecento, Gaetano Salvemini e Gioacchino Volpe. Laureatosi con Salvemini, negli anni del regime fascista Torre stringe i rapporti con Volpe, che lo coinvolge in alcune iniziative storiografiche di grande respiro sulla politica estera italiana. All'indomani della seconda guerra mondiale, con il rientro in Italia di Salvemini, Torre riallaccia i rapporti con il suo primo maestro: le lettere offrono uno spaccato interessante si della situazione politica nazionale nei primi anni della Repubblica sia dello stato degli studi di storia contemporanea
Le "relazioni predilette di un tempo". Note sul carteggio di Augusto Torre con Gaetano Salvemini e Gioacchino Volpe
No full textIl testo analizza la corrispondenza epistolare tra lo storico Augusto Torre e due grandi protagonisti della storiografia italiana della prima metà del Novecento, Gaetano Salvemini e Gioacchino Volpe. Laureatosi con Salvemini, negli anni del regime fascista Torre stringe i rapporti con Volpe, che lo coinvolge in alcune iniziative storiografiche di grande respiro sulla politica estera italiana. All'indomani della seconda guerra mondiale, con il rientro in Italia di Salvemini, Torre riallaccia i rapporti con il suo primo maestro: le lettere offrono uno spaccato interessante si della situazione politica nazionale nei primi anni della Repubblica sia dello stato degli studi di storia contemporanea
[Arias extraites de Siroe / Gaetano Latilla]
No full textAncien possesseur : Stillingfleet, Benjamin (1702-1771). Ancien possesseurAncien possesseur : Prunières, Henry (1886-1942). Ancien possesseurAncien possesseur : Thibault, Geneviève (1902-1975). Ancien possesseurTitre uniforme : Latilla, Gaetano (1711-1788). Compositeur. [Siroe]. ChoixTitre uniforme : Latilla, Gaetano (1711-1788). Compositeur. [Siroe. Acte 1, scène 15. Vedeste mai sul prato]Titre uniforme : Latilla, Gaetano (1711-1788). Compositeur. [Siroe. Acte 2, scène 7. Fra sdegno ed amore]Titre uniforme : Latilla, Gaetano (1711-1788). Compositeur. [Siroe. Acte 1, scène 1. Se il mio paterno amore]Titre uniforme : Latilla, Gaetano (1711-1788). Compositeur. [Siroe. Acte 2, scène 3. Mi credi infedele]Comprend : Alle Dame 1740 // Del Sig.r // Gaetano Latilla ; Alle Dame 1740 Del Sig.r Gaetano Latilla ; Alle Dame 1740 Del Sig.r Gaetano Latilla ; Alle Dame // 1740 // Del Sig.r // Gaetano LatillaContient 4 arias extraites de "Siroe", dramma per musica en 3 actes. - Livret de Pietro Metastasio. - 1re exécution : Rome, Théâtre alle Dame, carnaval 1740. - Mention ms. sur la p. de garde : "Benjamin Stillingfleet whose signature as the owner of this Ms. appears above, was author of "Principles & Power of Harmony". 4to. 1771_ in which year he died (15 Dec.), aged 69 or 70. He was an English Poet, Dramatist & Naturalist & wrote also the words of 5 oratorios.The treatise on Harmony is a commentary on (or a translation of) Tartini's "Trattato di Musica". - Table au dos de la f. de garde. - Mentions au plat : "Orig.l binding", "N°1240" et "H. Pr. 5. p. 3". - Reliure cartonnée, papier marbréPrésentation musicale : [Partition]Appartient à l’ensemble documentaire : RISM2Appartient à l’ensemble documentaire : Chambure1Appartient à l’ensemble documentaire : RISMMssAirs d'opéra -- +* 1700......- 1799......+:18e siècle
Dell' origine e de' progressi dell' instituto delle scienze di Bologna ...
No full textcompilata Giuseppe Gaetano Bollett
Optimization approaches in distributed systems
No full textThe necessity of performing multiple complex tasks in short time in a typical Industry 4.0 environment has enlightened the need to improve computational and storage infrastructures and ensure efficient communication between machines in modern manufacturing plants.
Most of these processes are pure digital and can be delivered directly in the Cloud, thus ensuring more resilience and performance. When Cloud resources are delivered in distributed fashion, the global computational effort is spread across all the network, whereas when the process is also decentralized there’s not a single point of decision in system behaviour. As a result, the innate features of distributed and decentralized systems contribute to decreasing the execution time of the tasks and preventing single points of failure in the infrastructure.
Within the scope of these systems, a great variety of optimization problems can be implemented. Some of these problems pertain to classical linear or nonlinear approaches, whereas others to Machine Learning techniques, such as Artificial Neural Networks and Deep Reinforcement Learning (DRL), or Swarm Intelligence algorithms.
The main research direction of this thesis is the implementation of some common optimization problems in distributed systems. In detail, in part I, the application of the task assignment problem in Blockchain-based environments is proposed in a typical manufacturing environment. Two different original architectures, the first in Ethereum and the second in Hyperledger Fabric, are described with the scope of consuming multiple complex digital processes, such as data mining problems, heavy file format conversion, and 3D rendering, in a parallel fashion in multi agent environments.
In both proposed architectures, task delivery is orchestrated by a Smart Contract. The main goal is to find the agent that executes the required task in least time. To this end, a task runtime prediction algorithm is designed by the means of an Artificial Neural Network in the first case and a Deep Reinforcement Learning algorithm in the second case. While in the first case, the main contribution is the combined use of Blockchain with some popular cloud technologies, such as Docker containers and Cloud Storage, the main advantages of the second implementation are that the Smart Contract implements an auction and bidding scheme to deliver tasks, and that the agents learn how to make predictions as they collect new experiences.
In addition, a third Blockchain-based architecture is proposed in the context of energy management in which a penalty-reward optimization scheme for the users in a district is implemented based on their consumption.
Still in the context of manufacturing, a general model for mass production systems based on Timed Coloured Petri Net and Particle Swarm Intelligence is proposed in part II. In the model, the Flexible Job Shop Sequence Problem is approached by the means of a Particle Swarm Optimization algorithm that can be efficiently implemented in a distributed environment.
Finally, in part III, a cooperative and distributed-oriented multi-agent DRL scheme is proposed in the domain of autonomous driving. In detail, the problem of autonomous intersection managements at unsignalized intersections is investigated in a complex scenario in which different classes of vehicles are involved including Connected Autonomous Vehicles, Connected Only emergency vehicles with high priority and regular unconnected vehicles. The main goal of the proposed scheme is to optimize traffic flow, ensure priorities and prevent collisions. The main contributions of the proposed approach are the novel state representation of the intersection state, which is also partially observable, the structure of the global reward function and subsequent implementation of Proximal Policy Optimization (PPO) algorithm to determine the best policy
La seconda chance. Rohmer e l'arte di raccontare
No full textIl cinema di Rohmer è un cinema letterario? Prima di diventare regista Maurice Schérer (che non ha ancora adottato lo pseudonimo sotto il quale è conosciuto da tutti i cinefili) è stato uno scrittore. E nel primo dei tre grandi cicli in cui si colloca la maggior parte della sua opera - i Racconti morali - ha ripreso e adattato le sue novelle di tanti anni prima. La letterarietà dei Racconti morali è soprattutto legata a un uso molto sostenuto della voce fuori campo. L'abbandono di questa modalità narrativa sarà l'aspetto più evidente di un progressivo distacco dalla letteratura: la sua vocazione di narratore troverà nel cinema una dimensione completamente diversa.Is Rohmer's cinema a literary cinema? Before becoming a director Maurice Schérer (who has not yet adopted the pseudonym under which he is known by all cinephiles) was a writer. And in the first of the three great cycles in which most of his work is placed - the Moral Tales - he took up and adapted his short stories from many years earlier. The literariness of moral tales is above all linked to a very sustained use of the voiceover. The abandonment of this narrative mode will be the most evident aspect of a progressive detachment from literature: his vocation as a narrator will find a completely different dimension in cinema
Cenni sopra diverse pitture staccate dal muro e trasportate su tela e specialmente di una grandiosa con maestria eseguita da Guido Reni ed ammirata entro nobile palazzo in Bologna.
No full textSigned: Gaetano Giordani.Includes bibliographical references.Mode of access: Internet
Words and worlds: corporate sustainability between the academic and business perspectives
No full textA Deep Reinforcement Learning Approach for Competitive Task Assignment in Enterprise Blockchain
No full textWith the advent of Industry 4.0, the demand of high computing power for tasks such as data mining, 3D rendering, file conversion and cryptography is continuously growing. To this extent, distributed and decentralized environments play a fundamental role by dramatically increasing the amount of available resources. However, there are still several issues in the existing resource sharing solutions, such as the uncertainty of task running time, the renting price and the security of transactions. In this work, we present a blockchain-enabled task assignment platform by performance prediction based on Hyperledger Fabric, an open-source solution for private and permissioned blockchains in enterprise contexts that outperforms other technologies in terms of modularity, security and performance. We propose a model-free deep reinforcement learning framework to predict task runtime in agents current load state while the agent is engaged in multiple concurrent tasks. In addition, we let clients choose between prediction accuracy and price saving on each request. This way, we implicitly give inaccurate agents a chance to get assignments by competing in price rather than in time, allowing them to collect new experiences and improve future predictions. We conduct extensive experiments to evaluate the performance of the proposed scheme
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