Zobrazeno 1 - 7
of 7
pro vyhledávání: '"劉士弘"'
Autor:
Shih-Hung Liu, 劉士弘
104
Extractive speech summarization aims to select an indicative set of sentences from a spoken document so as to succinctly cover the most important aspects of the document, which has garnered much research over the years. In this dissertation,
Extractive speech summarization aims to select an indicative set of sentences from a spoken document so as to succinctly cover the most important aspects of the document, which has garnered much research over the years. In this dissertation,
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/28709009924818514664
Autor:
Shih-Hung Liu, 劉士弘
101
Chapter I: Theoretical Study of N749 Dyes Anchoring on the (TiO2)28 Surface in DSCs and Their Electronic Absorption Properties In chapter I, we have performed calculations on the panchromatic N749 dyes adsorbed on the (TiO2)28 surface. N749
Chapter I: Theoretical Study of N749 Dyes Anchoring on the (TiO2)28 Surface in DSCs and Their Electronic Absorption Properties In chapter I, we have performed calculations on the panchromatic N749 dyes adsorbed on the (TiO2)28 surface. N749
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/29725345295611991201
Autor:
Shih-hong Liou, 劉士弘
97
Capacitive proximity sensor offers the advantage that allows the relatively large sensing area with the same size of the single sensor. So it is difficult to detect position of the object with single sensor. The capacitive proximity sensor us
Capacitive proximity sensor offers the advantage that allows the relatively large sensing area with the same size of the single sensor. So it is difficult to detect position of the object with single sensor. The capacitive proximity sensor us
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/99102140430024645024
Autor:
Shih-Hung Liu, 劉士弘
95
This thesis considers improved discriminative training of acoustic models for Mandarin large vocabulary continuous speech recognition (LVCSR). First, we presented a new phone accuracy function based on the frame-level accuracy of hypothesized
This thesis considers improved discriminative training of acoustic models for Mandarin large vocabulary continuous speech recognition (LVCSR). First, we presented a new phone accuracy function based on the frame-level accuracy of hypothesized
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/53141182379423513068
Autor:
Shih-Hung Liu, 劉士弘
95
Hydrogen is considered a desirable fuel for several reasons, among which hydrogen is the least polluting fuel that one can use in an internal–combustion engine, and it can serve in a highly efficient hydrogen/oxygen fuel cell to produce ele
Hydrogen is considered a desirable fuel for several reasons, among which hydrogen is the least polluting fuel that one can use in an internal–combustion engine, and it can serve in a highly efficient hydrogen/oxygen fuel cell to produce ele
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/96962513151408633155
Autor:
Xi-Hong Liu, 劉士弘
94
A floating-anode SCR and lateral SCR fabricated in 0.6 CMOS process were investigated by the device simulation tool. These simulated electrical characteristics conform to the experimental results successfully. The I-V result of the floating-a
A floating-anode SCR and lateral SCR fabricated in 0.6 CMOS process were investigated by the device simulation tool. These simulated electrical characteristics conform to the experimental results successfully. The I-V result of the floating-a
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/07134481359924710152
Autor:
Orpheus Liu, 劉士弘
91
This research started from the crisis that the people of Po-Ai special district faced against the intension of the Taipei City government to take back the land of this district. Through the resistant movement of the local people, the research
This research started from the crisis that the people of Po-Ai special district faced against the intension of the Taipei City government to take back the land of this district. Through the resistant movement of the local people, the research
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/21032608718351850143