Zobrazeno 1 - 10
of 55
pro vyhledávání: '"John K. Zao"'
Autor:
Shih-Chen Fan, Ming-Hui Wen, Chun-Tang Hsu, Shang-Hwa Hsu, Chung-Hoo Hung, Ming-Chuen Chuang, John K. Zao
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2008 (2008)
Wireless telephones and personal digital assistants are emerging, as the information hubs connect their human users with assorted electronic devices and the World Wide Web. As such, they quickly become the de facto basis for personalized information
Externí odkaz:
https://doaj.org/article/6a1abc9d714e47b9b5802b33acfcd149
Publikováno v:
IEEE Communications Magazine. 56:95-101
Fog computing has emerged as a promising solution for the IoT and next generation mobile networks. As an extension to cloud computing, it enables service provisioning along the continuum from the cloud to things to reduce latency and bandwidth demand
Publikováno v:
KSE
With the proliferation of smartphones and wearable devices having Micro-Electro-Mechanical Systems (MEMS) sensors built in, data samples of linear acceleration and angular velocity can be collected almost anytime anywhere. These motion data can be us
Publikováno v:
Journal of Communications and Networks. 20:233-236
Fog computing as an extension of cloud computing is able to deploy data storage, computing and communication, control and management along the cloud to things continuum. From a systematic perspective, fog networks provide a distributed computing syst
Autor:
Yu-Yi Chien, John K. Zao, Yi-Pai Huang, Masaki Nakanishi, Tzyy-Ping Jung, Fang-Cheng Lin, Yu-Te Wang, Felipe A. Medeiros
Publikováno v:
SID Symposium Digest of Technical Papers. 49:475-478
Autor:
Martin Hornansky, John K. Zao
Publikováno v:
Multimedia Tools and Applications. 76:15221-15250
Designing short-length Luby Transform (SLLT) codes to best protect video streaming and multicasting over lossy communication remains largely an empirical exercise. In this paper, we present a systematic approach to customize the decoding performance
Publikováno v:
IEEE Internet of Things Magazine. 3:8-9
This column delves into privacy risks of the IoT using risk concepts that are more native to the security domain in order to conceptually bridge our collective understanding, articulation, and management of privacy concerns in the IoT which otherwise
Autor:
Susanto Irwan, Don Banks, Riaz Zolfonoon, Frank Michaud, Arsalan Mosenia, Sven Schrecker, John K. Zao, Bridget A. Martin
Publikováno v:
FWC
The emerging interconnection among mobile/ IoT devices, Fog Nodes and Cloud servers are creating a multi-tier pervasive communication-computing infrastructure that will one day embody billions of devices and span across elaborate hierarchies of admin
Autor:
Te-Jen Wang, Yi-Chieh Peter Chang, Yang Yang, Jen-Shun Yang, Chih-Yuan Huang, Vince Hsu, Xiliang Luo, Ming Tou Zhou, Kha Tho Nguyen, ChingYao Huang, John K. Zao, Raymond W. Yeung
Publikováno v:
FWC
Fog computing has been widely adopted to meet the performance of explosive growth of IoT applications. In both 5G and IoT applications, low latency and ultra-reliable communication are two key features which cloud-based only architecture cannot meet
Autor:
Yi-Pai Huang, Yijun Wang, Yu Yi Chien, Han-Ping D. Shieh, Tzyy-Ping Jung, John K. Zao, Fang-Cheng Lin
Publikováno v:
SID Symposium Digest of Technical Papers. 46:122-125
Applying steady-state visual evoked potentials (SSVEPs) on a display system, a novel brain-display interaction (BDI) system was presented. This study further proposed an imperceptible flickering visual stimulus to make a SSVEP-based BDI more practica