101,948 research outputs found
Raccolta di 24 arie : di vari autori del secolo XVII / scelte ed armonizzate da Maffeo Zanon.
No full textFor voice and piano. --- Includes arias from musical dramas by Agostini, Boretti, Borzio, Cesti, Freschi, Grossi, Legrenzi, Pallavicino, Sartorio, A. Scarlatti, Ziani, and Stradella. --- P. S. Augustini: Aria de Tullia -- G. A. Boretti: Aria de Mitradate. Aria di Jole. Scena di Virginia -- C Borzio: Aria de Narciso -- M. A. Cesti: Aria di Filaura. Aria di Polemone -- G. D. Freschi. Aria d'Iphide. Aria de Nicea -- C. Grossi: Aria di Eurimene. Aria di Elinda. Aria di Ersillo -- G. Legrenzi: Aria di Eufemia. Aria di Anastasio -- C. Pallavicino: Aria di Lidia. Aria di Claudio e Messalina -- A. Sartorio. Aria di Pompeo. Aria di Geminio -- A. Scarlatti. Aria di Armindo -- P. A. Ziani: Aria di Brillo -- A. Stradella: Dalla cantata "Ombre, voi che celate." 1a parte della cantata "Piangete, occhi, piangete. Cantata "So ben che mi saettano." -- A. Scarlatti: Dalla cantata "Bellezza che s'ama.
Simulazione numerica del processo di combustione in motori ad elevate prestazioni con codice di calcolo tridimensionale
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Event-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units
No full textDue to its intrinsic sparsity both in time and space, event-based data is optimally suited for edge-computing applications that require low power and low latency. Time varying signals encoded with this data representation are best processed with Spiking Neural Networks (SNN). In particular, recurrent SNNs (RSNNs) can solve temporal tasks using a relatively low number of parameters, and therefore support their hardware implementation in resource-constrained computing architectures. These premises propel the need of exploring the properties of these kinds of structures on low-power processing systems to test their limits both in terms of computational accuracy and resource consumption, without having to resort to full-custom implementations. In this work, we implemented an RSNN model on a low-end, resource-constrained ARM-Cortex-M4-based Micro Controller Unit (MCU). We trained it on a down-sampled version of the N-MNIST event-based dataset for digit recognition as an example to assess its performance in the inference phase. With an accuracy of 97.2%, the implementation has an average energy consumption as low as 4.1μJ and a worst-case computational time of 150.4μs per time-step with an operating frequency of 180 MHz, so the deployment of RSNNs on MCU devices is a feasible option for small image vision real-time tasks
Human Bone-Marrow-Derived Stem-Cell-Seeded 3D Chitosan–Gelatin–Genipin Scaffolds Show Enhanced Extracellular Matrix Mineralization When Cultured under a Perfusion Flow in Osteogenic Medium
No full textTissue-engineered bone tissue grafts are a promising alternative to the more conventional use of natural donor bone grafts. However, choosing an appropriate biomaterial/scaffold to sustain cell survival, proliferation, and differentiation in a 3D environment remains one of the most critical issues in this domain. Recently, chitosan/gelatin/genipin (CGG) hybrid scaffolds have been proven as a more suitable environment to induce osteogenic commitment in undifferentiated cells when doped with graphene oxide (GO). Some concern is, however, raised towards the use of graphene and graphene-related material in medical applications. The purpose of this work was thus to check if the osteogenic potential of CGG scaffolds without added GO could be increased by improving the medium diffusion in a 3D culture of differentiating cells. To this aim, the level of extracellular matrix (ECM) mineralization was evaluated in human bone-marrow-derived stem cell (hBMSC)-seeded 3D CGG scaffolds upon culture under a perfusion flow in a dedicated custom-made bioreactor system. One week after initiating dynamic culture, histological/histochemical evaluations of CGG scaffolds were carried out to analyze the early osteogenic commitment of the culture. The analyses show the enhanced ECM mineralization of the 3D perfused culture compared to the static counterpart. The results of this investigation reveal a new perspective on more efficient clinical applications of CGG scaffolds without added GO
Optimizing Vision Transformers: Leveraging Max and Min Operations for Efficient Pruning
No full textThe research on Deep Neural Networks (DNNs) continues to enhance the performance of these models over a wide spectrum of tasks, increasing their adoption in many fields. This leads to the need of extending their usage also on edge devices with limited resources, even though, with the advent of Transformer-based models, this has become an increasingly complex task because of their size. In this context, pruning emerges as a crucial tool to reduce the number of weights in the memory-hungry Fully Connected (FC) layers. This paper explores the usage of neurons based on the Multiply-And-Max/min (MAM) operation, an alternative to the conventional Multiply-and-Accumulate (MAC), in a Vision Transformer (ViT). This enhances the model prunability thanks to the usage of Max and Min operations. For the first time, many MAM-based FC layers are used in a large state-of-the-art DNN model and compressed with various pruning techniques available in the literature. Experiments show that MAM-based layers achieve the same accuracy of traditional layers using up to 12 times less weights. In particular, when using Global Magnitude Pruning (GMP), the FC layers following the Multi-head Attention block of a ViT-B/16 model, fine-tuned on CIFAR-100, count only 560000 weights if MAM neurons are used, compared to the 31.4 million that remain when using traditional MAC neurons
Bibliographie Hilarion G. Petzold 1958 – 2009 mit Anhang als Einführung
No full textDieses Archiv enthält die Gesamtbibliographie der Werke des Autors nebst einiger Texte „Über H. G. Petzold“ im Schlussteil der Bibliographie sowie einen Anhang mit einer Einführung in die Architektur des Werkes in seinem wissenslogischen Aufbau als Ausarbeitung seines „Tree of Science Modells“ (2007).This archive contains the complete bibliography of the author and some texts about H. G. Petzold, moreover an epilogue with an introduction to the architecture of the works in its epistemological structure and composition and as an elaborations of Petzold’s „Tree of Science Modell (2007).https://www.fpi-publikation.de/polyloge/01-2009-petzold-h-g-gesamtbibliographie-h-g-petzold-1958-2009-updating-november2009/peerReviewedpublishedVersio
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Influence of Intake Port Design on Permeability and Rate of Combustion in a Four Valve High Performance Engine
No full textThe paper presents some improvements to the design of the intake port and valve assembly of a new Ferrari 5.5 liter engine, in order to increase both permeability and rate of combustion. Design has been supported by CFD-3D simulations and experiments
Numerical Simulation of Turbulent Combustion in a Four Valve Spark Ignition Engine with CRI/Turbokiva 2.0 Code
No full textAn enhanced engineering version of the Los Alamos National Laboratory's Kiva 3 code, called CRI/Turbokiva 2.0, was applied to the study of the mean and turbulent flow field evolution during compression and combustion in a spark ignition engine. A kinetically influenced turbulent combustion model was formulated to overcome the limitations of the standard turbulent combustion model. Mean velocity, turbulence intensity and turbulent length scale results are presented and compared with experimental data, providing satisfactory agreement. These comparisons provide a proper validation work for the fluid dynamic and combustion parts of the code
L'impiego dei coefficienti di efflusso nelle simulazioni del ciclo dei motori alternativi a combustione interna (The use of discharge coefficients in thermo-fluid-dynamic numerical simulation of reciprocating internal combustion engines)
No full textII progetto e lo sviluppo di motori ad alte prestazioni trova un valido supporto nelle simulazioni termofluidodinamiche del ciclo. Tali simulazioni consentono sia di studiare l'evoluzione temporale delle principali grandezze termodinarniche e di flusso nel motore, sia di prevedere le caratteristiche prestazionali del motore stesso. L'accuratezza dei risultati di queste simulazioni è estremamente importante ai fini di una loro applicazione sistematica in ambito industriale. In questo lavoro vengono discussi alcuni aspetti inerenti la modellizzazione del flusso attraverso i condotti e le valvole dei motori, allo scopo di migliorare le capacità predittivedella simulazione numerica, mediante un uso critico dei dati sperimentali. Si è osservato che, per le consuete modalità con cui si effettuano le prove di flussaggio stazionario delle valvole, è talvolta necessario correggere il valore dei coefficienti di efilusso da introdurre nella simulazione. Vengono allo scopo proposte alcune relazioni dedotte per via teorica, da integrarsi con i risultati di un'analisi numerica tridimensionale, o di ulteriori provesperimentali.L'influenza delle correzioni proposte, e le relative conseguenze sui risultati della simulazione di ciclo, sono state valutate con riferimento al caso di un motore Ferrari per laFormula 1. E' risultato che le entità delle correzioni al coefficiente di efilusso sono in alcuni casi significative, raggiungendo anche il 25%. Sensibili, anche se decisamente meno rilevanti, sono le differenze che si riscontrano per i risultati della simulazione in termini di prestazioni globali del motore
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