Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Y.C Tzeng"'
Publikováno v:
Materials Chemistry and Physics. 77:411-415
Reactive ion etching (RIE) of GaN and InGaN using BCl 3 plasma under a high self-bias voltage was carried out. The effects of rf plasma power, chamber pressure and BCl 3 flow rate on the etch rate were investigated. An etch rate as high as 132 nm min
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0149d48ce915a695aeb7def8f8532d01
https://doi.org/10.1016/s0254-0584(02)00014-7
https://doi.org/10.1016/s0254-0584(02)00014-7
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 37:247-256
This paper presents the reconstruction of a wind field from three-beam scatterometer measurements under the framework of a neural network. A neural network is adopted to implement the inversion of a geophysical model function (GMF) that relates the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b9b5454b5c32cba4608a12e310c04ce
https://doi.org/10.1109/36.739159
https://doi.org/10.1109/36.739159
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 37:2718-2724
A biophysically-based land-surface process/radiobrightness (LSP/R) model is integrated with a dynamic learning neural network (DLNN) to retrieve the land-surface parameters from its radiometric signatures. Predictions from the LSP/R model are used to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::301aba9e9dc4d241347c7911821521a8
https://doi.org/10.1109/36.803419
https://doi.org/10.1109/36.803419
Autor:
K.S. Chen, Y.C. Tzeng
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 36:301-307
Recently, neural networks have been increasingly applied to remote sensing imagery classification. The conventional neural network classifier performs learning from the representative information within a problem domain on a one-pixel-one-class basis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ab89a52992f40f0fa81148ef62b8255
https://doi.org/10.1109/36.655339
https://doi.org/10.1109/36.655339
Publikováno v:
International Journal of Remote Sensing. 16:801-809
A highly dynamic learning (DL) neural network is developed and applied to perform the inversion of rough surface parameters: dielectric constant, surface rms height, and correlation length, The network training scheme is based on the Kalman filter te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e303f32d8d75bd87d8816119019e95a3
https://doi.org/10.1080/01431169508954444
https://doi.org/10.1080/01431169508954444
Autor:
Y.C. Tzeng, Adrian K. Fung
Publikováno v:
Journal of Electromagnetic Waves and Applications. 8:61-84
The T-matrix approach is applied to formulate electromagnetic scattering from an arbitrary number of spheres due to an incident plane wave. The representation of an incident plane wave in spherical vector wave functions from an arbitrary incident dir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d544afb81d484b965a9502d4e06251e
https://doi.org/10.1163/156939394x00812
https://doi.org/10.1163/156939394x00812
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 32:1096-1102
The neural network learning process is to adjust the network weights to adapt the selected training data. Based on the polynomial basis function (PBF) modeled neural network that is a modified multilayer perceptrons (MLP) network, a dynamic learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::841abd8fc938d94ee01ac7ba061d902d
https://doi.org/10.1109/36.312898
https://doi.org/10.1109/36.312898
Publikováno v:
IEEE Transactions on Electron Devices. 40:348-352
A GaAs Schottky-barrier with high quantum efficiency-bandwidth product has been developed by using a GaAs/Al/sub 0.25/Ga/sub 0.75/As multilayer reflector. The multilayer reflector structure wa designed by using the scattering matrix method. By growin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::425433d32cc025d3a6e3528a38dd2f75
https://doi.org/10.1109/16.182512
https://doi.org/10.1109/16.182512
Publikováno v:
Superlattices and Microstructures. 12:287-291
A novel approach to grow high quality In 0.4 Ga 0.6 As epilayers on GaAs is reported which involves the controlled propagation of dislocations via a carefully designed multi-stage strain-relief superlattice structure. Several kinds of multi-stage str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3db36be9991613116c31ea72ca3d03d6
https://doi.org/10.1016/0749-6036(92)90266-8
https://doi.org/10.1016/0749-6036(92)90266-8
Publikováno v:
2009 34th IEEE Photovoltaic Specialists Conference (PVSC).
Arima EcoEnergy is one of the first companies to complete the indoor tests of the IEC 62108 CPV Qualification. Here, we will discuss our experiences and some of the reliability issues discovered during our path to IEC qualification.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d470832f9d86e5cf342837253eaebb2
https://doi.org/10.1109/pvsc.2009.5411339
https://doi.org/10.1109/pvsc.2009.5411339