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Research Recording System Using Blockchain and AI Technologies

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2023)

Abstract

It is extremely important to keep detailed records of experimental procedures and results, especially in research where experiments and observations are conducted. Records are generally kept under lock and key for a long time because they are a valuable asset to research institution and valuable evidence in patent disputes. The importance of research recording, including experimental records, is becoming even more important due to the rapid increase in the strict control of chemicals. If research recording are simply made in research notebooks or files, there is a risk of fabrication or falsification by malicious actors, and it is difficult to detect them. It is expected that the validity of research recording can be ensured by storing research recording such as the history of creation and change of data and the history of use of chemicals using the blockchain technology, which is a distributed ledger technology with high traceability and difficulty of falsification of data. There is a problem that it is not easy to keep research recording during experiments because it is an act while working. In such a situation, it is desirable to reduce manpower and easily perform research recording in real time. If voice and video recognition can be used to record research’s voice and act, research recording can be done even when both hands are not available. In this paper, we use blockchain technology and AI technology to management of research recording. In this system, data can be stored in a state where falsification is difficult by storing research recording in a blockchain, and by extracting and recording necessary information by voice and image recognition. We implement our method on Ethereum.

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Correspondence to Hiroyoshi Miwa .

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Nakazawa, K., Samata, Y., Miwa, H. (2023). Research Recording System Using Blockchain and AI Technologies. In: Barolli, L. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 182. Springer, Cham. https://doi.org/10.1007/978-3-031-40971-4_46

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