Search results for "MIZA"

Numerical methods for a nonlinear impact model: A comparative study with closed-form corrections

2011

A physically based impact model-already known and exploited in the field of sound synthesis-is studied using both analytical tools and numerical simulations. It is shown that the Hamiltonian of a physical system composed of a mass impacting on a wall can be expressed analytically as a function of the mass velocity during contact. Moreover, an efficient and accurate approximation for the mass outbound velocity is presented, which allows to estimate the Hamiltonian at the end of the contact. Analytical results are then compared to numerical simulations obtained by discretizing the system with several numerical methods. It is shown that, for some regions of the parameter space, the trajectorie…

The Industrial Applicability of PEA Space Charge Measurements, for Performance Optimization of HVDC Power Cables

2019

Cable manufacturing industries are constantly trying to improve the electrical performance of power cables. During the years, it was found that one of the most relevant degradation factors influencing the cable lifetime is the presence of space charge in the insulation layer. To detect the accumulated charge, the pulsed electro-acoustic (PEA) method is the most used technique. Despite the wide use of the PEA cell, several issues are still present. In particular, the PEA output signal is strongly disturbed by the acoustic waves reflections within the PEA cell. This causes the distortion of the output signal and therefore the misinterpretation of the charge profiles. This, in turn, may result…

Spatial Succession for Degradation of Solid Multicomponent Food Waste and Purification of Toxic Leachate with the Obtaining of Biohydrogen and Biomet…

2022

A huge amount of organic waste is generated annually around the globe. The main sources of solid and liquid organic waste are municipalities and canning and food industries. Most of it is disposed of in an environmentally unfriendly way since none of the modern recycling technologies can cope with such immense volumes of waste. Microbiological and biotechnological approaches are extremely promising for solving this environmental problem. Moreover, organic waste can serve as the substrate to obtain alternative energy, such as biohydrogen (H2) and biomethane (CH4). This work aimed to design and test new technology for the degradation of food waste, coupled with biohydrogen and biomethane prod…

Cooperative spectrum sensing schemes for future dynamic spectrum access infrastructures

2016

Broncoscopia virtuale in pazienti con lesioni endobronchiali stenosanti. Ottimizzazione della tecnica con TC spirale monostrato

2004

PURPOSE: To describe an original protocol for single slice spiral Computed Tomography (CT) virtual bronchoscopy in the evaluation of patients with central airway stenoses and compare the results with fibreoptic bronchoscopy. MATERIALS AND METHODS: Ten patients (4 female and 6 male; age range 22-60 years; mean age 44 years) with endobronchial disease diagnosed by fibreoptic bronchoscopy (8 malignant tumours, 1 benign tumour and 1 fibroid stenosis) underwent virtual bronchoscopy with single slice spiral CT. A panoramic spiral CT scan of the whole chest was first obtained. Once the area of interest had been identified, a new contrast enhanced scan was performed, from bottom to top, with the fo…

Mechanics of Moving Materials

2014

Behind the scenes of artificial intelligence: a study of micro-work platforms in France

2019

Este artículo es una versión resumida del informe “Le Micro-travail en France. Derrière l’automatisation de nouvelles précarités au travail?» This article is a summarized version of the report "Le Micro-travail en France. Derrière l’automatisation de nouvelles précarités au travail?" .; International audience; Micro-work internet services allocate small, standardized tasks of data generation and annotation to crowds of providers. The outputs are mainly used to produce artificial intelligence solutions. It is an exemplary instance of the “platformization” of the economy, and of the transformations of labour that digital technologies bring about. To uncover the conditions under which micro-wo…

Economic Aspects of Hybrid Cloud Infrastructure: User Organization Perspective

2012

Adoption of cloud infrastructure promises enterprises numerous bene- ts, such as faster time-to-market and improved scalability enabled by on-demand provisioning of pooled and shared computing resources. In particular, hybrid clouds, by combining the private in-house capacity with the on-demand capacity of public clouds, promise to achieve both increased utilization rate of the in-house infrastructure and limited use of the more expensive public cloud, thereby lowering the total costs for a cloud user organization. In this paper, an analytical model of hybrid cloud costs is introduced, wherein the costs of computing and data communication are taken into account. Using this model, a cost-e c…

On the structural optimization in presence of base isolating devices

2012

The minimum volume design of plane frames constituted by elastic perfectly plastic material and subjected to appropriate combinations of fixed, cyclic and dynamic loads is studied. The influence on the design, in terms of cost (volume) and behavioural features, of seismic protecting devices is particularly focused. The considered protecting device is a lead rubber bearing base isolation system. Two optimal design problem formulations are proposed for the structure with or without the protecting device, both based on the so-called statical approach. The minimum volume frame is reached accounting for three different resistance limits: the purely elastic limit, the (elastic) shakedown limit an…

Automatic surrogate modelling technique selection based on features of optimization problems

2019

A typical scenario when solving industrial single or multiobjective optimization problems is that no explicit formulation of the problem is available. Instead, a dataset containing vectors of decision variables together with their objective function value(s) is given and a surrogate model (or metamodel) is build from the data and used for optimization and decision-making. This data-driven optimization process strongly depends on the ability of the surrogate model to predict the objective value of decision variables not present in the original dataset. Therefore, the choice of surrogate modelling technique is crucial. While many surrogate modelling techniques have been discussed in the liter…