Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Kai-Ping Lin"'
Autor:
Kai-Ping Lin, 林鎧平
93
As deep-submicron fabrication technology advances, billion-transistor in a single chip will make possible. The increase in the chip density and the wire resistance makes the current delivery from the power pads to the power pins difficult. As
As deep-submicron fabrication technology advances, billion-transistor in a single chip will make possible. The increase in the chip density and the wire resistance makes the current delivery from the power pads to the power pins difficult. As
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/96499042658040518211
Publikováno v:
2023 IEEE International Solid- State Circuits Conference (ISSCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d51ef4b7cb8a99c902f40db2902398fa
https://doi.org/10.1109/isscc42615.2023.10067857
https://doi.org/10.1109/isscc42615.2023.10067857
Publikováno v:
2022 IEEE International Solid- State Circuits Conference (ISSCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67debd7d03a6e2f91590cd8b94e75994
https://doi.org/10.1109/isscc42614.2022.9731661
https://doi.org/10.1109/isscc42614.2022.9731661
Autor:
Li-Wei Wang, Huan-Ching Wang, Kai-Ping Lin, Li-De Chen, Chao-Tsung Huang, Yu-Chun Ding, Chi-Wen Weng
Convolutional neural networks (CNNs) have recently demonstrated superior quality for computational imaging applications. Therefore, they have great potential to revolutionize the image pipelines on cameras and displays. However, it is difficult for c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a9c617c9190700d82e31884ea68e786
Publikováno v:
Theoretical and Applied Climatology. 119:791-807
Following the practice of the numerical weather ensemble prediction, a nonlinear statistical ensemble prediction model has been developed based on a neural network technique with a Particle Swarm Optimization (PSO) algorithm. The model is validated b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd4bfdd02d6c8387a0ff1adb224c0f14
https://doi.org/10.1007/s00704-014-1161-8
https://doi.org/10.1007/s00704-014-1161-8
Publikováno v:
Applied Mechanics and Materials. :5618-5622
Based on 33-year typhoon information of South China Sea (SCS) in 1980-2012 and NCEP/NCAR reanalysis data, taking Climatology and Persistence (CLIPER) and earlier physical quantities predictors selected by Stepwise Regression (SWR) and Multidimensiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::603eacd0ea5355f426f11bde22e6f08a
https://doi.org/10.4028/www.scientific.net/amm.556-562.5618
https://doi.org/10.4028/www.scientific.net/amm.556-562.5618
Autor:
Catherine Kai-Ping Lin
Publikováno v:
Journal of Contemporary China. 15:133-159
This article examines the advocacy of overseas Taiwanese, particularly those in the United States, and their influence on US foreign policy and subsequently upon democratization in Taiwan. It concentrates particularly on the work of a Taiwanese non-g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1549a06845dc086ed2b3a3af5d2da5ef
https://doi.org/10.1080/10670560500331799
https://doi.org/10.1080/10670560500331799
Publikováno v:
2011 Fourth International Joint Conference on Computational Sciences and Optimization.
Searching the predictors in each level of the NCEP data by use the long time series data of NCEP and short time sequence data of wind observation. And filtering the information and extraction the components for these primary predictors using the meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa1929700155eb98ed425999948bb2f0
https://doi.org/10.1109/cso.2011.254
https://doi.org/10.1109/cso.2011.254
Publikováno v:
2010 Third International Joint Conference on Computational Science and Optimization.
Following the thinking clue of the ensemble prediction in numerical weather prediction (NWP), a novel nonlinear artificial intelligence ensemble prediction (NAIEP) model for calculation wind speed of Mountain Darong in Guangxi has been developed base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12cac0b9d10292146f44db025e2babf6
https://doi.org/10.1109/cso.2010.13
https://doi.org/10.1109/cso.2010.13