Zobrazeno 1 - 4
of 4
pro vyhledávání: '"王欽輝"'
Autor:
Cin-Huei Wang, 王欽輝
100
In this thesis, the formation of m-plane (10-10) Gallium nitride (GaN) on the surface of a-plane (100) lithium gallate (LiGaO2, LGO) substrates via nitridation with ammonia (NH3) at high temperature. The parameters in this research were main
In this thesis, the formation of m-plane (10-10) Gallium nitride (GaN) on the surface of a-plane (100) lithium gallate (LiGaO2, LGO) substrates via nitridation with ammonia (NH3) at high temperature. The parameters in this research were main
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/60649290453147092601
Autor:
Chin-Hui Wang, 王欽輝
92
As fabrication technology entered deep sub-micron (DSM) era, the complexity of routing problem is increasing dramatically along with the growth on demand of net density. Since routing problem incur the phenomenon of chip performance degradati
As fabrication technology entered deep sub-micron (DSM) era, the complexity of routing problem is increasing dramatically along with the growth on demand of net density. Since routing problem incur the phenomenon of chip performance degradati
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/3tu24s
Autor:
Wang, Tsing-huei, 王欽輝
85
A CMOS compatible power MOSFET process has been developed. Using N-well as drift region, breakdown voltage as high as 400V can be achieved. The effects of the drift region geometry and physical parameters of RESURF LDMOST's have also been stu
A CMOS compatible power MOSFET process has been developed. Using N-well as drift region, breakdown voltage as high as 400V can be achieved. The effects of the drift region geometry and physical parameters of RESURF LDMOST's have also been stu
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/27593303299973202301
Autor:
Ching-Huie Wang, 王欽輝
81
Fuzzy logic control systems may perform better than conventional control systems when the system under control is complex, nonlinear, or subject to uncertainty. In its natural, the fuzzy logic controller is a knowledge based system that requi
Fuzzy logic control systems may perform better than conventional control systems when the system under control is complex, nonlinear, or subject to uncertainty. In its natural, the fuzzy logic controller is a knowledge based system that requi
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/78452214756798608094