Zobrazeno 1 - 10
of 15
pro vyhledávání: '"YONG-JHIH CHEN"'
Publikováno v:
Geophysical Research Letters
Based on theory and climate model experiments, previous studies suggest most of the uncertainties in projected future changes in meridional energy transport and zonal mean surface temperature can be attributed to cloud feedback. To investigate how ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1226b29db0f2435145d28aa2493849ea
http://hdl.handle.net/10044/1/90454
http://hdl.handle.net/10044/1/90454
Publikováno v:
Journal of Climate. 32:7281-7301
With the goal of understanding the relative roles of anthropogenic and natural factors in driving observed cloud trends, this study investigates cloud changes associated with decadal variability including the Pacific decadal oscillation (PDO) and the
Autor:
Jiang-Liang Hou, Yong-Jhih Chen
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 27:317-323
This research establishes a document summarisation model to generate summaries on the basis of reader requirements. To establish this summarisation model, the document summarisation problem is transformed into a mathematical problem by the analysis o
Publikováno v:
Applied Mechanics and Materials. 311:456-461
A numerical investigation is conducted to understand the factors of influence on a pool boiling in a micro system. The nucleation activities within microlayer were captured clearly to provide details of phase change process. Boiling curve of water un
Autor:
Chien-Cheng Wei, Wu-Shiung Feng, Chia-Shih Cheng, Hsien-Chin Chiu, Shao-Wei Lin, Yong-Jhih Chen
Publikováno v:
PIERS Online. 3:1000-1004
An improved BSIM4 large-signal model for 0.13-"m gate-length high linearity CMOS RF transistors is presented in this paper. The fleld-plate technology functions the im- provements in linearity and 1/f noise of 0.13-"m CMOS devices was in our past inv
Autor:
Yong-Jhih Chen, Jiang-Liang Hou
Publikováno v:
CSCWD
Conventional text summarization methodologies do not take individual requirements of readers into consideration. In order to generate document summaries that can meet reader requirements, this research develops an automatic document summarization mod