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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 35, Number 7(4) (2023)
Copyright(C) MYU K.K.
pp. 2603-2618
S&M3343 Research Paper of Special Issue (A)
https://doi.org/10.18494/SAM4299
Published: July 31, 2023

A Novel Framework for Integrating Heterogeneous Data Sources through Data Exchange [PDF]

Yin-Ting Cheng and Ming-Chih Chen

(Received December 31, 2022; Accepted July 11, 2023)

Keywords: data integration, modularized agent, interface, artificial intelligence

We present a design framework for an electronic system that facilitates the integration of heterogeneous data sources. To meet the specific requirements of data manipulation, different database systems need to exchange their data content to fulfill the needs of their respective systems. To address this challenge, a data exchange mechanism is proposed to enable the integration of external data from multiple sources and facilitate data exchange among multiple systems. Within this framework, a data exchange agent (DE-Agent) is designed to handle the integration and distribution of multiple external data sources into the internal system. The DE-Agent acts as an intermediary, effectively transmitting external data to the system’s database. Experimental results demonstrate that the designed DE-Agent is capable of supporting stimulus operations from over forty inspectors while maintaining the correct and efficient functioning of the system. This research contributes to the development of an electronic system that effectively integrates heterogeneous data sources. The proposed design framework and DE-Agent provide a reliable mechanism for data exchange, enabling seamless integration between different database systems and ensuring the proper functioning of the overall system.

Corresponding author: Yin-Ting Cheng


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Cite this article
Yin-Ting Cheng and Ming-Chih Chen, A Novel Framework for Integrating Heterogeneous Data Sources through Data Exchange, Sens. Mater., Vol. 35, No. 7, 2023, p. 2603-2618.



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