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
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
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
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
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
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
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
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
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
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.