Browsing by Author "Wang, YQ"

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Formation of dual-phase HfO2-HfxSi1-xO2 dielectric and its application in memory devices
(2005-07-01)
Wang, YQ
;
Chen, JH
;
Yoo, WJ
;
Yeo, YC
;
Yeo, YC
In this paper, we studied the phase-separation phenomenon of Hf0.5Si0.5O2 film deposited on SiO2 or sandwiched by SiO2, by x-ray photoelectron spectroscopy and transmission electron microscopy. The Hf0.5Si0.5O2 film underwent phase separation to form a doublet-phase HfO2-HfxSi1-xO2 (x < 0.5) film, and was used as a trapping layer in a metal-blocking oxide-silicon nitride-tunnel oxide-silicon-type memory structure, where the dual-phase HfO2-HfxSi1-xO2 (DPHSO) film replaces the conventional silicon nitride (Si3N4) trapping layer. The charge storage properties of the DPHSO film were investigated and compared with HfO2 and Si3N4. It was found that for a given electric field applied to the tunnel oxide, the programming speed of memory devices using a DPHSO or HfO2 film as a trapping layer is faster than that using SiA. This indicates the higher electron-capture efficiency of the DPHSO and HfO2 films. In addition, the double-phase microstructure of the DPHSO film also provided better retention property than pure HfO2. (c) 2005 American Institute of Physics.
Lagrangian stability of a nonlinear quasi-periodic system
(2004-05-01)
Lin, SS
;
Wang, YQ
;
應用數學系
;
Department of Applied Mathematics
In this paper, we prove the Lagrangian stability of the quasi-periodic system d(2)x/dt(2) + G(x)(x, t) 0, where G is quasi-periodic in both x and t, respectively. (C) 2004 Elsevier Inc. All rights reserved.
Personal assistant robot
(2005)
Lin, CH
;
Andrian, H
;
Wang, YQ
;
Song, KT
;
電控工程研究所
This paper presents a design and implementation of a prototype personal assistant robot (PAR). The goal for the development of PAR is to investigate how an intelligent machine can assist and interact with a person in a smart manner. The PAR prototype consists of a mobile platform and a three degree-of-freedom manipulator. Currently, implemented functions include PDA remote control, human face recognition and tracking, and fuzzy behavior-based navigation. Experimental studies of these functions show that the robot demonstrates autonomous interactions as well as assistant functions in a natural indoor environment.