Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Jeng-Hau Lin"'
Autor:
Jeng-Hau Lin, 林政豪
95
The major theme of this thesis focuses on the methodology for the eye-diagram prediction of lossy transmission lines. The finite conductivity of the metal conductor and the loss due to displacement current and leakage current is the two prima
The major theme of this thesis focuses on the methodology for the eye-diagram prediction of lossy transmission lines. The finite conductivity of the metal conductor and the loss due to displacement current and leakage current is the two prima
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/98957819086681682287
Publikováno v:
IEEE Design & Test. 37:75-84
Editor’s notes: This article studies the impacts of physical variations on neural networks. The proposed studies reveal an important observation that both multiple layer perceptron (MLP) and convolutional neural network (CNN) may fail to operate ap
Publikováno v:
WACV
Emerging edge devices such as sensor nodes are increasingly being tasked with non-trivial tasks related to sensor data processing and even application-level inferences from this sensor data. These devices are, however, extraordinarily resource-constr
Publikováno v:
DATE
Fueled by the success of mobile devices, the computational demands on these platforms have been rising faster than the computational and storage capacities or energy availability to perform tasks ranging from recognizing speech, images to automated r
Publikováno v:
ICDCN
Offloading techniques enable many emerging computer vision applications on mobile platforms by executing compute-intensive tasks on resource-rich servers. Although there have been a significant amount of research efforts devoted in optimizing mobile
Publikováno v:
2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).
Autor:
Tianwei Xing, Zhuowen Tu, Mani Srivastava, Ritchie Zhao, Zhiru Zhang, Jeng-Hau Lin, Rajesh Gupta
Publikováno v:
CVPR Workshops
State-of-the-art convolutional neural networks are enormously costly in both compute and memory, demanding massively parallel GPUs for execution. Such networks strain the computational capabilities and energy available to embedded and mobile processi
Autor:
Ritchie Zhao, Weinan Song, Jeng-Hau Lin, Wentao Zhang, Zhiru Zhang, Tianwei Xing, Mani Srivastava, Rajesh Gupta
Publikováno v:
FPGA
Convolutional neural networks (CNN) are the current stateof-the-art for many computer vision tasks. CNNs outperform older methods in accuracy, but require vast amounts of computation and memory. As a result, existing CNN applications are typically ru
Publikováno v:
IEEE Transactions on Advanced Packaging. 32:175-183
As the speed of signal through an interconnection increases toward the multigigabit ranges, the effects of lossy transmission lines on the signal quality of printed circuit boards becomes a critical issue. To evaluate the eye diagram and thus the sig
Autor:
Patrick P. Mercier, Chung-Kuan Cheng, Jeng-Hau Lin, Chia-Hung Liu, Gung-Yu Pan, Ilgweon Kang, Hao Liu, Hao Zhuang, Phillip Lam
Publikováno v:
BioCAS
This paper presents a non-contact electrocardiogram (ECG) measurement platform that compensates for motion-induced impedance changes via interdigitated electrode channels in concert with software reconstruction algorithms. Specifically, the impedance