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Conference Paper Device to Device Knowledge Transfer through Structured Data
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Authors
Donghun Lee, Ingook Jang, Soonyong Song, Jinchul Choi, Youngsung Son
Issue Date
2017-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2017, pp.868-870
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2017.8190801
Project Code
17ZH2100, Development of Semantic Memory Core Technology for Autonomous IoT Connection and Collaboration based on Complex Computational Model, Son Young Sung
Abstract
Abundance of connected devices generate numerous data. Increased computing power of each device would enable themselves to train and generate device knowledge from collected data. In this paper, we propose a novel approach to transfer device knowledge between interoperable devices through structured data. This approach helps devices to use device knowledge from other device as input data. Reusing device knowledge interchangeably could reduce redundant data acquisition, training costs, resources, time, network and effort. Extended research on this topic would make internet connected device actually smart.
KSP Keywords
Computing power, Data Acquisition(DAQ), Device to Device(D2D), Knowledge transfer, Novel approach, Redundant Data, connected devices, input data, structured data, transfer device