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http://dx.doi.org/10.6109/jkiice.2021.25.2.178

Consortium Blockchain and Machine Learning Design for Efficient Government fund expenditure in Untact Era  

Oh, Rag-seong (Department of Convergence Engineering, Hoseo Graduate School of Venture at Hoseo University)
Park, Dea-woo (Department of Convergence Engineering, Hoseo Graduate School of Venture at Hoseo University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.2, 2021 , pp. 178-186 More about this Journal
Abstract
COVID-19 occurred in China in December 2019 and spread to the world. Untact culture becoming commonplace due to the spread of COVID-19, is accelerating digital transformation across society. The government is increasing government fund to overcome national crisis situations such as COVID-19. In order to efficiently execute these government funds, the government and policy financial institutions need to come up with two measures. One is to establish a transparent government fund execution process, and the other is to secure the objectivity of the review process. In this paper, to solve this problem, we designed the execution process of government funds from the government to end users with Consortium Blockchain, and designed a machine learning algorithm for internal review of policy financial institutions. The research data proposed in this paper will be helpful in setting the future government policy direction for government fund execution.
Keywords
AI; Blockchain; Government fund; Machine learning; Untact;
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