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Polarization fatigue in Pb(In0.5Nb0.5)O3–Pb(Mg1/3Nb2/3)O3–PbTiO3 single crystals / Shujun Zhang in Acta materialia, Vol. 58 N° 10 (Juin 2010) 

Public ISBD [article]  in Acta materialia > Vol. 58 N° 10 (Juin 2010) . - pp. 3773–3780 Titre : Polarization fatigue in Pb(In0.5Nb0.5)O3–Pb(Mg1/3Nb2/3)O3–PbTiO3 single crystals Type de document : texte imprimé Auteurs : Shujun Zhang, Auteur ; Jun Luo, Auteur ; Fei Li, Auteur Année de publication : 2011 Article en page(s) : pp. 3773–3780 Note générale : Métallurgie Langues : Anglais (eng) Mots-clés : Ferroelectricity  Piezoelectricity  Fatigue  Internal  stresses  Perovskite  crystal Résumé : Electric fatigue tests have been conducted on pure and manganese-modified Pb(In0.5Nb0.5)O3–Pb(Mg1/3Nb2/3)O3–PbTiO3 (PIN–PMN–PT) single crystals along different crystallographic directions. Polarization degradation was observed to suddenly occur above 50–100 bipolar cycles in 〈1 1 0〉 oriented samples, while 〈0 0 1〉 oriented samples exhibited almost fatigue free characteristics. The fatigue behavior was investigated as a function of orientation, magnitude of the electric field and manganese dopant. It was found that 〈0 0 1〉 oriented PIN–PMN–PT crystals were fatigue free, due to its small domain size, being on the order of 1 μm. The 〈1 1 0〉 direction exhibited a strong electrical fatigue behavior due to mechanical degradation. Micro/macro cracks developed in fatigued 〈1 1 0〉 oriented single crystals. Fatigue and cracks were the result of strong anisotropic piezoelectric stress and non-180° domain switching, which completely locked the non-180° domains. Furthermore, manganese-modified PIN–PMN–PT crystals were found to show improved fatigue behavior due to an enhanced coercive field. DEWEY : 669 ISSN : 1359-6454 En ligne : http://www.sciencedirect.com/science/article/pii/S1359645410001631 [article] Polarization fatigue in Pb(In0.5Nb0.5)O3–Pb(Mg1/3Nb2/3)O3–PbTiO3 single crystals [texte imprimé] / Shujun Zhang, Auteur ; Jun Luo, Auteur ; Fei Li, Auteur . - 2011 . - pp. 3773–3780. Métallurgie Langues : Anglais (eng) in Acta materialia > Vol. 58 N° 10 (Juin 2010) . - pp. 3773–3780 Mots-clés : Ferroelectricity  Piezoelectricity  Fatigue  Internal  stresses  Perovskite  crystal Résumé : Electric fatigue tests have been conducted on pure and manganese-modified Pb(In0.5Nb0.5)O3–Pb(Mg1/3Nb2/3)O3–PbTiO3 (PIN–PMN–PT) single crystals along different crystallographic directions. Polarization degradation was observed to suddenly occur above 50–100 bipolar cycles in 〈1 1 0〉 oriented samples, while 〈0 0 1〉 oriented samples exhibited almost fatigue free characteristics. The fatigue behavior was investigated as a function of orientation, magnitude of the electric field and manganese dopant. It was found that 〈0 0 1〉 oriented PIN–PMN–PT crystals were fatigue free, due to its small domain size, being on the order of 1 μm. The 〈1 1 0〉 direction exhibited a strong electrical fatigue behavior due to mechanical degradation. Micro/macro cracks developed in fatigued 〈1 1 0〉 oriented single crystals. Fatigue and cracks were the result of strong anisotropic piezoelectric stress and non-180° domain switching, which completely locked the non-180° domains. Furthermore, manganese-modified PIN–PMN–PT crystals were found to show improved fatigue behavior due to an enhanced coercive field. DEWEY : 669 ISSN : 1359-6454 En ligne : http://www.sciencedirect.com/science/article/pii/S1359645410001631

Statistical modeling and many-to-many matching for view-based 3D object retrieval / Fei Li in Signal processing. Image communication, Vol. 25 N° 1 (Janvier 2010) 

Public ISBD [article]  in Signal processing. Image communication > Vol. 25 N° 1 (Janvier 2010) . - pp. 18-27 Titre : Statistical modeling and many-to-many matching for view-based 3D object retrieval Type de document : texte imprimé Auteurs : Fei Li, Auteur ; Qionghai Dai, Auteur ; Wenli Xu, Auteur Article en page(s) : pp. 18-27 Note générale : Electronique Langues : Anglais (eng) Mots-clés : View-based  3D  object  retrieval  Statistical  modeling  Markov  chain  Many-to-many  matching  Earth  mover's  distance Index. décimale : 621.382 Dispositifs électroniques utilisant les effets des corps solides. Dispositifs semi-conducteurs Résumé : We address the task of view-based 3D object retrieval, in which each object is represented by a set of views taken from different positions, rather than a geometrical model based on polygonal meshes. As the number of views and the view point setting cannot always be the same for different objects, the retrieval task is more challenging and the existing methods for 3D model retrieval are infeasible. In this paper, the information in the sets of views is exploited from two aspects. On the one hand, the form of histogram is converted from vector to state sequence, and Markov chain (MC) is utilized for modeling the statistical characteristics of all the views representing the same object. On the other hand, the earth mover's distance (EMD) is involved to achieve many-to-many matching between two sets of views. For 3D object retrieval, by combining the above two aspects together, a new distance measure is defined, and a novel approach to automatically determine the edge weights in graph-based semi-supervised learning is proposed. Experimental results on different databases demonstrate the effectiveness of our proposal. DEWEY : 361.382 ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%235640%23 [...] [article] Statistical modeling and many-to-many matching for view-based 3D object retrieval [texte imprimé] / Fei Li, Auteur ; Qionghai Dai, Auteur ; Wenli Xu, Auteur . - pp. 18-27. Electronique Langues : Anglais (eng) in Signal processing. Image communication > Vol. 25 N° 1 (Janvier 2010) . - pp. 18-27 Mots-clés : View-based  3D  object  retrieval  Statistical  modeling  Markov  chain  Many-to-many  matching  Earth  mover's  distance Index. décimale : 621.382 Dispositifs électroniques utilisant les effets des corps solides. Dispositifs semi-conducteurs Résumé : We address the task of view-based 3D object retrieval, in which each object is represented by a set of views taken from different positions, rather than a geometrical model based on polygonal meshes. As the number of views and the view point setting cannot always be the same for different objects, the retrieval task is more challenging and the existing methods for 3D model retrieval are infeasible. In this paper, the information in the sets of views is exploited from two aspects. On the one hand, the form of histogram is converted from vector to state sequence, and Markov chain (MC) is utilized for modeling the statistical characteristics of all the views representing the same object. On the other hand, the earth mover's distance (EMD) is involved to achieve many-to-many matching between two sets of views. For 3D object retrieval, by combining the above two aspects together, a new distance measure is defined, and a novel approach to automatically determine the edge weights in graph-based semi-supervised learning is proposed. Experimental results on different databases demonstrate the effectiveness of our proposal. DEWEY : 361.382 ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%235640%23 [...]

Statistical modeling and many-to-many matching for view-based 3D object retrieval / Fei Li in Signal processing. Image communication, Vol. 25 N° 1 (Janvier 2010) 

Public ISBD [article]  in Signal processing. Image communication > Vol. 25 N° 1 (Janvier 2010) . - pp. 18–27 Titre : Statistical modeling and many-to-many matching for view-based 3D object retrieval Type de document : texte imprimé Auteurs : Fei Li, Auteur ; Qionghai Dai, Auteur ; Wenli Xu, Auteur Année de publication : 2012 Article en page(s) : pp. 18–27 Note générale : Electronique Langues : Anglais (eng) Mots-clés : View-based  3D  object  retrieval  Statistical  modeling  Markov  chain  Many-to-many  matching  Earth  mover's  distance Résumé : We address the task of view-based 3D object retrieval, in which each object is represented by a set of views taken from different positions, rather than a geometrical model based on polygonal meshes. As the number of views and the view point setting cannot always be the same for different objects, the retrieval task is more challenging and the existing methods for 3D model retrieval are infeasible. In this paper, the information in the sets of views is exploited from two aspects. On the one hand, the form of histogram is converted from vector to state sequence, and Markov chain (MC) is utilized for modeling the statistical characteristics of all the views representing the same object. On the other hand, the earth mover's distance (EMD) is involved to achieve many-to-many matching between two sets of views. For 3D object retrieval, by combining the above two aspects together, a new distance measure is defined, and a novel approach to automatically determine the edge weights in graph-based semi-supervised learning is proposed. Experimental results on different databases demonstrate the effectiveness of our proposal. ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science/article/pii/S0923596509001313 [article] Statistical modeling and many-to-many matching for view-based 3D object retrieval [texte imprimé] / Fei Li, Auteur ; Qionghai Dai, Auteur ; Wenli Xu, Auteur . - 2012 . - pp. 18–27. Electronique Langues : Anglais (eng) in Signal processing. Image communication > Vol. 25 N° 1 (Janvier 2010) . - pp. 18–27 Mots-clés : View-based  3D  object  retrieval  Statistical  modeling  Markov  chain  Many-to-many  matching  Earth  mover's  distance Résumé : We address the task of view-based 3D object retrieval, in which each object is represented by a set of views taken from different positions, rather than a geometrical model based on polygonal meshes. As the number of views and the view point setting cannot always be the same for different objects, the retrieval task is more challenging and the existing methods for 3D model retrieval are infeasible. In this paper, the information in the sets of views is exploited from two aspects. On the one hand, the form of histogram is converted from vector to state sequence, and Markov chain (MC) is utilized for modeling the statistical characteristics of all the views representing the same object. On the other hand, the earth mover's distance (EMD) is involved to achieve many-to-many matching between two sets of views. For 3D object retrieval, by combining the above two aspects together, a new distance measure is defined, and a novel approach to automatically determine the edge weights in graph-based semi-supervised learning is proposed. Experimental results on different databases demonstrate the effectiveness of our proposal. ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science/article/pii/S0923596509001313