Institution
Polytechnic University of Turin
Education•Turin, Piemonte, Italy•
About: Polytechnic University of Turin is a education organization based out in Turin, Piemonte, Italy. It is known for research contribution in the topics: Finite element method & Computer science. The organization has 11553 authors who have published 41395 publications receiving 789320 citations. The organization is also known as: POLITO & Politecnico di Torino.
Topics: Finite element method, Computer science, Nonlinear system, Context (language use), Population
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a model for the study of hyporheic exchange during unsteady conditions has been developed, which provides a sound analytical framework for the analysis of the effects of a varying stream discharge on the exchange between a stream and the hypheic zone.
154 citations
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TL;DR: The integration of GIS, SD model and 3D visualization, called GISSD system here, can better explain the interaction and the variation of the sustainability indicators for residential development and support the Decision Maker to view the sustainable level of urban residential areas more comprehensively.
154 citations
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TL;DR: Two remote-controlled systems were tested over two different archaeological sites in order to provide Digital Surface Models (DSMs) and large-scale maps (numeric maps and orthophotos) and an accuracy evaluation of the final products is reported.
154 citations
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TL;DR: Computer simulations show the effectiveness of the proposed online mutual coupling compensation algorithm and prove that the nice statistical properties of classical super-resolution DOA estimation algorithms can be restored despite the presence of mutual coupling.
Abstract: In this paper, a novel online mutual coupling compensation algorithm especially tailored to uniform and linear arrays is presented. It is conceived to simultaneously compensate for mutual coupling and estimate the direction-of-arrivals (DOAs) of signals impinging on the array since the estimated calibration matrix can be embedded within any classical super-resolution direction-finding method. An alternating minimization procedure based on closed-form solutions is performed to estimate the mutual coupling matrix in the field of complex symmetric Toeplitz matrices. Unlike many existing array calibration methods, it requires neither the presence of calibration sources nor previous calibration information as initialization. Computer simulations show the effectiveness of the proposed technique and prove that the nice statistical properties of classical super-resolution DOA estimation algorithms can be restored despite the presence of mutual coupling
154 citations
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01 Nov 2004TL;DR: In this article, thermal sensitivity analysis of total enclosed fan cooled (TEFC) induction motors is presented, and the results are useful for identifying the most important thermal parameters and enabling robust designs to be developed that are insensitive to manufacturing tolerances.
Abstract: With the increasing pressures on electric motor manufactures to develop smaller and more efficient electric motors, there is a trend to carry out more thermal analysis in parallel with the traditional electromagnetic design. It has been found that attention to thermal design can be rewarded by major improvements in the overall performance. Thus, there is a requirement for accurate and reliable thermal analysis models that can be easily incorporated into motor design software. In the paper emphasis is given to thermal sensitivity analysis of total enclosed fan cooled (TEFC) induction motors. In particular, thermal parameters are modified and their effects on the temperature rise shown. The results are useful for identifying the most important thermal parameters and enables robust designs to be developed that are insensitive to manufacturing tolerances.
154 citations
Authors
Showing all 11854 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rodney S. Ruoff | 164 | 666 | 194902 |
Silvia Bordiga | 107 | 498 | 41413 |
Sergio Ferrara | 105 | 726 | 44507 |
Enrico Rossi | 103 | 606 | 41255 |
Stefano Passerini | 102 | 771 | 39119 |
James Barber | 102 | 642 | 42397 |
Markus J. Buehler | 95 | 609 | 33054 |
Dario Farina | 94 | 832 | 32786 |
Gabriel G. Katul | 91 | 506 | 34088 |
M. De Laurentis | 84 | 275 | 54727 |
Giuseppe Caire | 82 | 825 | 40344 |
Christophe Fraser | 76 | 264 | 29250 |
Erasmo Carrera | 75 | 829 | 23981 |
Andrea Califano | 75 | 305 | 31348 |
Massimo Inguscio | 74 | 427 | 21507 |