1,721,222 research outputs found
Lacalamita, M., Mesto, E., Mongelli, G., Mameli, P., Cerri, G., Pinto, D., Buccione, R., Schingaro, E. 2023. Characterization of Red Muds as valuable resource for sustainability. Convegno Nazionale Italiano sui Geopolimeri. Bari February, 16-17 2023.
No full textGentili (Β.) et Cerri (G.), Le teorie del discorso storico nel pensiero greco e la storiografia romana arcaica
No full textLévêque Pierre. Gentili (Β.) et Cerri (G.), Le teorie del discorso storico nel pensiero greco e la storiografia romana arcaica. In: Revue belge de philologie et d'histoire, tome 56, fasc. 3, 1978. Langues et littératures modernes — Moderne taal- en letterkunde. p. 734
Gentili (Β.) et Cerri (G.), Le teorie del discorso storico nel pensiero greco e la storiografia romana arcaica
No full textLévêque Pierre. Gentili (Β.) et Cerri (G.), Le teorie del discorso storico nel pensiero greco e la storiografia romana arcaica. In: Revue belge de philologie et d'histoire, tome 56, fasc. 3, 1978. Langues et littératures modernes — Moderne taal- en letterkunde. p. 734
Buccione R., Cerri G., Cisullo C., Lacalamita M., Mameli P., Mesto E., Mongelli G., Pinto D. & Schingaro E. 2023. Geochemistry and mineralogy of bauxite residues (red muds) from Porto Vesme (Sardinia): from disposal material to new resource. Congresso congiunto SIMP-SGI-SOGEI-AIV “The Geoscience paradigm: resources, risk and future perspectives”, 19-21 Settembre 2023, Potenza.
No full textFunzionamento non stazionario di uno scambiatore di calore "shell and tube" con fluido condensante
No full text
Shock response spectrum in plates under impulse loads
No full textIn this paper, the study of a plate under impulse loads and the correlated Shock Response Spectrum (SRS) has been
carried out. The Reissner–Mindlin plate have been considered and the modal analysis technique used to develop the
solution. The influence of the impulse (rise function, rise time) and geometric parameters (thickness of the plate, distance of
the measure point from the point load) has been evaluated
Neural management for heat and power cogeneration plants
No full textThis paper deals with the problem of finding the optimum load allocation on machines and apparatuses in complex Cogeneration Heat and Power (CHP) plants. A methodology based on Neural Networks (NN) has been developed. A database has been populated by using a real plant simulator.
Two kinds of plant neural models have been trained, the first consists in an Identification Neural Model (INM) that provides a ‘‘picture’’ of the actual plant status by using monitoring data as input; the second consists in an Optimum Load Allocation Neural Model (OLANM) whose inputs are boundary conditions and outputs the Degrees of Freedom corresponding to the optimum operation set points. To reduce the relevant computational effort required to populate the training databases a sequential chain of neural models has been arranged. The method has been applied to a real cogeneration plant. The developed Plant Optimization Neural Tool (PONT) has shown a good capability to modify load allocation when the status of components and boundary conditions vary.
The computational time required is really small (some 500 ms). The accuracy in achieving the solution is comparable with that of traditional physical-empirical plant simulators.
These achievements show the potentialities of the neural approach for real time or quasi-real time applications to support plant management decisions
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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