2024-03-29T11:22:01Z
http://eprints.biblio.unitn.it/cgi/oai2
oai:eprints.biblio.unitn.it:641
2012-02-28T14:17:32Z
7374617475733D7375626D6974746564
7375626A656374733D51:5143:5143363631
7375626A656374733D51:5143:5143373630
7375626A656374733D54:5431:5435352E34
74797065733D746563687265706F7274
A Microwave Imaging Method for NDE/NDT based on the SMW Technique for the Electromagnetic Field Prediction
Massa, Andrea
Pastorino, Matteo
Rosani, Andrea
Benedetti, Manuel
T055.4 Industrial Engineering
QC661 Electromagnetic Theory
QC760 Electromagnetism
In the framework of NDE/NDT, this paper presents an innovative microwave diagnostic approach based on the use of the SMW inversion procedure for the electric field prediction. Starting from the integral form of inverse scattering equations, the problem of determining the presence of an unknown defect in a known host domain is recast into an optimization one by defining a suitable cost function and reducing the problem unknowns only to the flaw descriptors. By considering an effective inversion technique based on the SMW formula, the estimation of the secondary unknowns (namely, the electric field distributions) is performed in a cost-effective way. Selecte3d numerical results are presented to validate the approach showing current potentialities and limitations. For completeness, an application to civil engineering is also reported.
2004-08
Departmental Technical Report
NonPeerReviewed
application/pdf
http://eprints.biblio.unitn.it/641/1/DIT%2D04%2D073.pdf
Massa, Andrea and Pastorino, Matteo and Rosani, Andrea and Benedetti, Manuel (2004) A Microwave Imaging Method for NDE/NDT based on the SMW Technique for the Electromagnetic Field Prediction. UNSPECIFIED. (Submitted)
http://eprints.biblio.unitn.it/641/
oai:eprints.biblio.unitn.it:1402
2012-02-28T14:21:35Z
7374617475733D696E7072657373
7375626A656374733D51:5143:5143363631
7375626A656374733D54:544B:544B37383835
7375626A656374733D51:5143:5143373630
7375626A656374733D54:5431:5435352E34
7375626A656374733D54:5441:5441333239
74797065733D746563687265706F7274
Morphological Processing of Electromagnetic Scattering Data for Enhancing the Reconstruction Accuracy of the Iterative Multi-Scaling Approach
Franceschini, Davide
Rosani, Andrea
Donelli, Massimo
Pastorino, Matteo
Massa, Andrea
TK7885 Computer Engineering
QC661 Electromagnetic Theory
T055.4 Industrial Engineering
QC760 Electromagnetism
TA329 Engineering mathematics
This work is aimed at presenting a methodology that exploits the scattered electromagnetic radiation collected on a measurement region outside the area under investigation to locate and characterize multiple unknown profiles. In many practical cases, an accurate quantitative imaging of the scenario under test is required and it can be reached by using a high resolution representation of the dielectric profile of the scatterers. Towards this aim, an enhanced iterative multi-resolution procedure that exploits a morphological processing for detecting and focusing on different non-connected regions-of-interest is developed. A suitable set of representative numerical results is presented for demonstrating that the proposed approach is able to efficiently detect the objects located in the test domain and to enhance the accuracy in reconstructing multiple scatterers
2008-03
Departmental Technical Report
NonPeerReviewed
application/pdf
http://eprints.biblio.unitn.it/1402/1/DISI%2D08%2D016.pdf
Franceschini, Davide and Rosani, Andrea and Donelli, Massimo and Pastorino, Matteo and Massa, Andrea (2008) Morphological Processing of Electromagnetic Scattering Data for Enhancing the Reconstruction Accuracy of the Iterative Multi-Scaling Approach. UNSPECIFIED. (In Press)
http://eprints.biblio.unitn.it/1402/
oai:eprints.biblio.unitn.it:1403
2012-02-28T14:21:36Z
7374617475733D7375626D6974746564
7375626A656374733D54:5453
7375626A656374733D51:5143:5143373630
7375626A656374733D51:5141:51413736
7375626A656374733D54:544B:544B37383835
7375626A656374733D51:5143:5143363631
7375626A656374733D51:5143:5143353031
7375626A656374733D51:5141:51413735
7375626A656374733D54:5431:5435352E34
7375626A656374733D51:5143:5143303230
7375626A656374733D51:5141:5141303633
7375626A656374733D54:5441:5441333239
74797065733D746563687265706F7274
A hybrid prefractal three-band antenna for multistandard mobile wireless applications
Azaro, Renzo
Debiasi, Luca
Zeni, Edoardo
Benedetti, Manuel
Rocca, Paolo
Massa, Andrea
TS Manufactures
QC760 Electromagnetism
QA076 Computer software
TK7885 Computer Engineering
QC661 Electromagnetic Theory
QC501 Electricity
QA075 Electronic computers. Computer science
T055.4 Industrial Engineering
TA329 Engineering mathematics
QA063 Problem solving
QC020 Mathematical Physics
In this letter, the synthesis of a miniaturized threeband planar antenna working in GSM and WiFi frequency bands is described. The reference geometry for the synthesis of the antenna is a hybrid prefractal shape obtained by integrating a Sierpinski-like and a Meander-like structure. The synthesis of the geometrical parameters of the antenna has been performed by means of a customized Particle Swarm strategy to yield electrical parameters within given specifications. In order to show the effectiveness of the approach, some results from the numerical synthesis procedure are described and a comparison between simulations and experimental measurements is reported.
2008-03
Departmental Technical Report
NonPeerReviewed
application/pdf
http://eprints.biblio.unitn.it/1403/1/DISI%2D08%2D015.pdf
Azaro, Renzo and Debiasi, Luca and Zeni, Edoardo and Benedetti, Manuel and Rocca, Paolo and Massa, Andrea (2008) A hybrid prefractal three-band antenna for multistandard mobile wireless applications. UNSPECIFIED. (Submitted)
http://eprints.biblio.unitn.it/1403/
oai:eprints.biblio.unitn.it:1462
2012-02-28T14:21:58Z
7374617475733D756E707562
7375626A656374733D54:5431:5435352E34
74797065733D746563687265706F7274
SVMs for system identification: the linear case
Marconato, Anna
Boni, Andrea
Petri, Dario
Schoukens, Johan
T055.4 Industrial Engineering
In this work we deal with the application of Support Vector Machines for Regression (SVRs) to the problem of identifying linear dynamic systems on the basis of a set of Input/Output samples. Three different examples of simple linear systems will be considered, taking into account both non-recursive and recursive models. When defining the SVR estimating function, several examples of kernels will be employed, with emphasis on the ones that may be more appropriate for describing linear models. As a further step, the exact parameters of the model will be directly estimated from the Support Vector values resulting from the SVR training phase.
2008-08
Departmental Technical Report
NonPeerReviewed
application/pdf
http://eprints.biblio.unitn.it/1462/1/043.pdf
Marconato, Anna and Boni, Andrea and Petri, Dario and Schoukens, Johan (2008) SVMs for system identification: the linear case. UNSPECIFIED. (Unpublished)
http://eprints.biblio.unitn.it/1462/
oai:eprints.biblio.unitn.it:1492
2012-02-28T14:22:05Z
7374617475733D756E707562
7375626A656374733D54:544B
7375626A656374733D54:5431:5435352E34
74797065733D746563687265706F7274
Misurazioni preliminari: effetto del packaging sulla qualità dei link di nodi sensore wireless
Massa, Andrea
ELEDIAlab,
TK Electrical engineering. Electronics Nuclear engineering
T055.4 Industrial Engineering
not available.
2008-04
Departmental Technical Report
NonPeerReviewed
application/pdf
http://eprints.biblio.unitn.it/1492/1/DISI%2D08%2D046.pdf
Massa, Andrea and ELEDIAlab, (2008) Misurazioni preliminari: effetto del packaging sulla qualità dei link di nodi sensore wireless. UNSPECIFIED. (Unpublished)
http://eprints.biblio.unitn.it/1492/
oai:eprints.biblio.unitn.it:1498
2012-02-28T14:27:18Z
oai:eprints.biblio.unitn.it:1516
2012-02-28T14:22:13Z
7374617475733D756E707562
7375626A656374733D54:544B:544B353130352E35
7375626A656374733D54:5431:5435352E34
74797065733D746563687265706F7274
Studio preliminare sintesi sistemi radianti per RBS: stato dell'arte
Massa, Andrea
ELEDIALab,
TK5105.5 Computer Networks
T055.4 Industrial Engineering
not available.
2008-06
Departmental Technical Report
NonPeerReviewed
application/pdf
http://eprints.biblio.unitn.it/1516/1/DISI%2D08%2D066.pdf
Massa, Andrea and ELEDIALab, (2008) Studio preliminare sintesi sistemi radianti per RBS: stato dell'arte. UNSPECIFIED. (Unpublished)
http://eprints.biblio.unitn.it/1516/
oai:eprints.biblio.unitn.it:1517
2012-02-28T14:22:13Z
7374617475733D756E707562
7375626A656374733D54:544B:544B353130352E35
7375626A656374733D54:5431:5435352E34
74797065733D746563687265706F7274
Studio preliminare sintesi sistemi radianti per RBS: progettazione di array ideali dual band
Massa, Andrea
ELEDIALab,
TK5105.5 Computer Networks
T055.4 Industrial Engineering
not available.
2008-07
Departmental Technical Report
NonPeerReviewed
application/pdf
http://eprints.biblio.unitn.it/1517/1/DISI%2D08%2D067.pdf
Massa, Andrea and ELEDIALab, (2008) Studio preliminare sintesi sistemi radianti per RBS: progettazione di array ideali dual band. UNSPECIFIED. (Unpublished)
http://eprints.biblio.unitn.it/1517/
oai:eprints.biblio.unitn.it:1518
2012-02-28T14:22:13Z
7374617475733D756E707562
7375626A656374733D54:544B:544B353130352E35
7375626A656374733D54:5431:5435352E34
74797065733D746563687265706F7274
Studio preliminare sintesi sistemi radianti per RBS: progettazione di array dual band con elementi direttivi
Massa, Andrea
ELEDIALab,
TK5105.5 Computer Networks
T055.4 Industrial Engineering
not available.
2008-08
Departmental Technical Report
NonPeerReviewed
application/pdf
http://eprints.biblio.unitn.it/1518/1/DISI%2D08%2D068.pdf
Massa, Andrea and ELEDIALab, (2008) Studio preliminare sintesi sistemi radianti per RBS: progettazione di array dual band con elementi direttivi. UNSPECIFIED. (Unpublished)
http://eprints.biblio.unitn.it/1518/
oai:eprints.biblio.unitn.it:1519
2012-02-28T14:22:14Z
7374617475733D756E707562
7375626A656374733D54:544B:544B37383835
7375626A656374733D54:5431:5435352E34
74797065733D746563687265706F7274
Studio preliminare sintesi sistemi radianti per RBS: progettazione di array tri-band con elementi ideali
Massa, Andrea
ELEDIALab,
TK7885 Computer Engineering
T055.4 Industrial Engineering
not available.
2008-08
Departmental Technical Report
NonPeerReviewed
application/pdf
http://eprints.biblio.unitn.it/1519/1/DISI%2D08%2D069.pdf
Massa, Andrea and ELEDIALab, (2008) Studio preliminare sintesi sistemi radianti per RBS: progettazione di array tri-band con elementi ideali. UNSPECIFIED. (Unpublished)
http://eprints.biblio.unitn.it/1519/
oai:eprints.biblio.unitn.it:1520
2012-02-28T14:22:14Z
7374617475733D756E707562
7375626A656374733D54:544B:544B353130352E35
7375626A656374733D54:5431:5435352E34
74797065733D746563687265706F7274
Studio preliminare sintesi sistemi radianti per RBS: progettazione dei array dual band e simulazione con piano di massa infinito
Massa, Andrea
ELEDIALab,
TK5105.5 Computer Networks
T055.4 Industrial Engineering
not available.
2008-08
Departmental Technical Report
NonPeerReviewed
application/pdf
http://eprints.biblio.unitn.it/1520/1/DISI%2D08%2D070.pdf
Massa, Andrea and ELEDIALab, (2008) Studio preliminare sintesi sistemi radianti per RBS: progettazione dei array dual band e simulazione con piano di massa infinito. UNSPECIFIED. (Unpublished)
http://eprints.biblio.unitn.it/1520/
oai:eprints.biblio.unitn.it:1521
2012-02-28T14:22:15Z
7374617475733D756E707562
7375626A656374733D54:544B:544B353130352E35
7375626A656374733D54:5431:5435352E34
74797065733D746563687265706F7274
Studio preliminare sintesi sistemi radianti per RBS: progettazione di array tri band e simulazione piano di massa infinito
Massa, Andrea
ELEDIALab,
TK5105.5 Computer Networks
T055.4 Industrial Engineering
not available.
2008-11
Departmental Technical Report
NonPeerReviewed
application/pdf
http://eprints.biblio.unitn.it/1521/1/DISI%2D08%2D071.pdf
Massa, Andrea and ELEDIALab, (2008) Studio preliminare sintesi sistemi radianti per RBS: progettazione di array tri band e simulazione piano di massa infinito. UNSPECIFIED. (Unpublished)
http://eprints.biblio.unitn.it/1521/
oai:eprints.biblio.unitn.it:1522
2012-02-28T14:22:15Z
7374617475733D756E707562
7375626A656374733D54:544B:544B353130352E35
7375626A656374733D54:5431:5435352E34
74797065733D746563687265706F7274
Studio preliminare sintesi sistemi radianti per RBS: progettazione di array dual band e simulazioni con Feko
Massa, Andrea
ELEDIALab,
TK5105.5 Computer Networks
T055.4 Industrial Engineering
not available.
2008-11
Departmental Technical Report
NonPeerReviewed
application/pdf
http://eprints.biblio.unitn.it/1522/1/DISI%2D08%2D072.pdf
Massa, Andrea and ELEDIALab, (2008) Studio preliminare sintesi sistemi radianti per RBS: progettazione di array dual band e simulazioni con Feko. UNSPECIFIED. (Unpublished)
http://eprints.biblio.unitn.it/1522/
oai:eprints.biblio.unitn.it:1523
2012-02-28T14:22:15Z
7374617475733D756E707562
7375626A656374733D51:5143:5143373630
7375626A656374733D51:5143:5143363631
7375626A656374733D54:544B:544B353130352E35
7375626A656374733D54:5431:5435352E34
74797065733D746563687265706F7274
Microwave Imaging from Amplitude-Only Data–Advantages and Open Problems of a Two-Step Multi-resolution Strategy
Massa, Andrea
ELEDIALab,
QC661 Electromagnetic Theory
TK5105.5 Computer Networks
T055.4 Industrial Engineering
QC760 Electromagnetism
In this report, a two step strategy for the inversion of amplitude-only data in microwave imaging applications is analyzed. At the first step of the proposed method, the illuminating source is synthesized according to a line sources model in order to compute the incident field in the investigation domain starting from the values available in the measurement domain. The second step is aimed at reconstructing the profile of the objects under test thanks to the iterative multi-scaling approach integrated with the Particle Swarm Optimizer, an effective evolutionary minimization technique. The reconstruction accuracy of the proposed phaseless retrieval strategy is analyzed using synthetic data concerned with a multiple scatterer configuration and successively further assessed inverting experimental data
2008-11
Departmental Technical Report
NonPeerReviewed
application/pdf
http://eprints.biblio.unitn.it/1523/1/DISI%2D08%2D073.pdf
Massa, Andrea and ELEDIALab, (2008) Microwave Imaging from Amplitude-Only Data–Advantages and Open Problems of a Two-Step Multi-resolution Strategy. UNSPECIFIED. (Unpublished)
http://eprints.biblio.unitn.it/1523/
oai:eprints.biblio.unitn.it:2037
2012-02-28T14:25:25Z
7374617475733D707562
7375626A656374733D51:5143:5143373630
7375626A656374733D51:5143:5143363631
7375626A656374733D54:544B:544B37383835
7375626A656374733D54:544B:544B353130352E35
7375626A656374733D54:5431:5435352E34
74797065733D746563687265706F7274
Automatic design and optimization of an EMI filter using commercially-available components
Azaro, Renzo
Ioriatti, Luca
Martinelli, Mauro
Massa, Andrea
TK7885 Computer Engineering
QC661 Electromagnetic Theory
TK5105.5 Computer Networks
T055.4 Industrial Engineering
QC760 Electromagnetism
Designing customized EMI filters is a challenging task since the choice of the circuit topology as well as of the discrete values of the electric components, for satisfying multiple electrical requirements, is not trivial and no-standard guidelines are available. In this letter, an approach based on a particle swarm optimizer, used in conjunction with a circuital simulator, is described. By using equivalent models of commercial components, such a method allows the synthesis of reliable and ready-to-build filters. As an example, a filter prototype is realized and its efficiency assessed through numerical and experimental evaluations. This paper is a postprint of a paper submitted to and accepted for publication in Electronics Letters and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.
2007-03
Departmental Technical Report
PeerReviewed
application/pdf
http://eprints.biblio.unitn.it/2037/1/DISI%2D11%2D066.pdf
Azaro, Renzo and Ioriatti, Luca and Martinelli, Mauro and Massa, Andrea (2007) Automatic design and optimization of an EMI filter using commercially-available components. UNSPECIFIED.
http://eprints.biblio.unitn.it/2037/
oai:eprints.biblio.unitn.it:2048
2012-02-28T14:25:29Z
7374617475733D707562
7375626A656374733D54:5431:5435352E34
74797065733D746563687265706F7274
Edge Potential Functions (EPF) and Genetic Algorithms (GA) for Edge-Based Matching of Visual Objects
Dao, S.M.
De Natale, Francesco
Massa, Andrea
T055.4 Industrial Engineering
Edges are known to be a semantically rich representation of the contents of a digital image. Nevertheless, their use in practical applications is sometimes limited by computation and complexity constraints. In this paper, a new approach is presented that addresses the problem of matching visual objects in digital images by combining the concept of Edge Potential Functions (EPF) with a powerful matching tool based on Genetic Algorithms (GA). EPFs can be easily calculated starting from an edge map and provide a kind of attractive pattern for a matching contour, which is conveniently exploited by GAs. Several tests were performed in the framework of different image matching applications. The results achieved clearly outline the potential of the proposed method as compared to state of the art methodologies. (c) 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
2007-01
Departmental Technical Report
PeerReviewed
application/pdf
http://eprints.biblio.unitn.it/2048/1/DISI%2D11%2D077.R108.pdf
Dao, S.M. and De Natale, Francesco and Massa, Andrea (2007) Edge Potential Functions (EPF) and Genetic Algorithms (GA) for Edge-Based Matching of Visual Objects. UNSPECIFIED.
http://eprints.biblio.unitn.it/2048/