ArticleOpen Access
DECENTRALIZED DONATION EXPERT SYSTEM TO BRING DOWN COVID-19
https://doi.org/10.1142/S0218348X2150273XCited by:2 (Source: Crossref)
Abstract
Due to the exponential growth in the use of systems with applications of blockchain technology, this paper develops a funding system, with donations and offers of shares, through the Ethereum platform with blockchain technology. Given the benefits that blockchain provides data protection and has high security, this paper offers a decentralized donation expert system using smart contracts that makes fully reliable donation systems to attract more funds to this urgent global health issue. Smart contracts provide faithful donations and meet the characteristics of being versatile, accessible, and sustainable to combat the COVID-19 pandemic. This expert system found the Merkle grid as an optimum method to work efficiently on the blockchain. The expert system proved to be steady and efficient by using an essential test dataset. A reliable donation system expects more donors and investors since a sustainable and reliable approach is always a milestone. The primary purpose of developing this system is to attract donors to bring down the COVID-19 pandemic by providing a faithful donation system.
References
- 1. , A software-defined fog node based distributed blockchain cloud architecture for IoT, IEEE Access 6 (2017) 115–124. Web of Science, Google Scholar
- 2. , Blockchain-based sharing services: What blockchain technology can contribute to smart cities, Financ. Innov. 2 (2016) 26:1–26:9. Crossref, Google Scholar
- 3. , Overview of business innovation and research opportunities in blockchain and introduction to the special issue, Financ. Innov. 3 (2016) 28:1–28:7. Web of Science, Google Scholar
- 4. , Blockchain technologies: The foreseeable impact on society and industry, Computer 50(9) (2017) 18–28. Crossref, Web of Science, Google Scholar
- 5. , A perspective on blockchain smart contracts: Reducing uncertainty and complexity in value exchange, in Proceedings of the 2017 26th International Conference on Computer Communication and Networks (ICCCN),
Vancouver, BC , 2019, pp. 265–278. Google Scholar - 6. , Recent advances in smart contracts: A technical overview and state of the art, IEEE Access 8 (2020) 117782–117801. Crossref, Web of Science, Google Scholar
- 7. , Developing a reliable service system of charity donation during the Covid-19 outbreak, IEEE Access 8 (2020) 154848–154860. Crossref, Web of Science, Google Scholar
- 8. , A privacy-preserving and overhead-free protocol for direct donations to people impacted by COVID-19 lockdowns, in Proceedings of the 2020 IEEE Global Humanitarian Technology Conference (GHTC),
Seattle, WA , 2020, pp. 1–2. Crossref, Google Scholar - 9. , The COVID-19 pandemic: A call to action to identify and address racial and ethnic disparities, J. Racial Ethn. Health Disparities 7 (2020) 398–402. Crossref, Web of Science, Google Scholar
- 10. , A comprehensive review of the COVID-19 pandemic and the role of IoT, drones, AI, blockchain, and 5G in managing its impact, IEEE Access 8 (2020) 90225–90265. Crossref, Web of Science, Google Scholar
- 11. , Artificial intelligence and COVID-19: Deep learning approaches for diagnosis and treatment, IEEE Access 8 (2020) 109581–109585. Crossref, Web of Science, Google Scholar
- 12. , WebContent Visualizer: A visualization system for search engines in Semantic Web, Int. J. Inf. Technol. Decis. Mak. 10(5) (2011) 913–931. Link, Web of Science, Google Scholar
- 13. , Semantically enriched variable length Markov Chain model for analysis of user Web navigation, Int. J. Inf. Technol. Decis. Mak. 13(4) (2014) 721–753. Link, Web of Science, Google Scholar
- 14. , Semantic Computing, Cloud Computing, and Semantic Search Engine, in Proceedings of the 2009 IEEE International Conference on Semantic Computing,
Berkeley , 2020, pp. 1–3. Google Scholar - 15. and A digital signature based on a conventional encryption function, in CRYPTO 1987: Advances in Cryptology — CRYPTO ’87,
Lectures Notes in Computer Science , Vol. 293 (Springer, Berlin, 1987), pp. 369–378. Google Scholar - 16. , Merkle hash grids instead of Merkle trees, in Proceedings of the 2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS),
Nice, France , 2020, pp. 1–7. Crossref, Google Scholar - 17. , Using address independent seed encryption and Bonsai Merkle trees to make secure processors OS- and performance-friendly, in Proceedings of the 40th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO 2007),
Chicago, IL , 2007, pp. 1–11. Crossref, Google Scholar - 18. , Ambulance redeployment: An approximate dynamic programming, in Proceedings of the 2009 Winter Simulation Conference (WSC),
Austin, TX , 2009, pp. 8–10. Crossref, Google Scholar - 19. , An IoT expert system shell in block-chain technology with ELM as inference engine, Int. J. Inf. Technol. Decis. Mak. 18(1) (2019) 87–104. Link, Web of Science, Google Scholar
- 20. , Expert system for ice hockey game prediction: Data mining with human judgment, Int. J. Inf. Technol. Decis. Mak. 15(4) (2016) 763–789. Link, Web of Science, Google Scholar
- 21. , Expert system approach to assessments of bleeding predispositions in tonsillectomy/adenoidectomy patients, Int. J. Pattern Recognit. Artif. Intell. 4(3) (1990) 371–387. Link, Google Scholar
- 22. , Fuzzy rule-based medical expert system to identify the disorders of eyes, ENT and liver, Int. J. Adv. Intell. Paradig. 7(3–4) (2015) 352–367. Crossref, Google Scholar
- 23. , The design and implementation of an intelligent apparel recommend expert system, Math. Probl. Eng. 2013 (2013) 343171. Crossref, Web of Science, Google Scholar
- 24. , Expert systems application in manufacturing, Proc. SPIE 786 (1987) 474–479. Crossref, Google Scholar
- 25. , Blockchain applications challenges and evaluation: A survey, Discrete Math. Alg. Appl. (2020), https://doi.org/10.1142/S1793830920300015. Link, Web of Science, Google Scholar
- 26. ,
Introduction to blockchain smart contracts and programming with Solidity for Ethereum , in Blockchain and Smart Contracts,Singapore University of Social Sciences: World Scientific Future Economy Series , Vol. 4 (World Scientific, 2021), pp. 189–216. Link, Google Scholar - 27. , DL-Tags: DLT and Smart Tags for decentralized, privacy-preserving, and verifiable supply chain management, IEEE Access 7 (2019) 46198–46208. Crossref, Web of Science, Google Scholar
- 28. ,
An Investigation into smart contract deployment on Ethereum platform using Web3.js and Solidity using blockchain , in Data Engineering and Intelligent Computing,Advances in Intelligent Systems and Computing , Vol. 1407 (Springer, Singapore, 2021), pp. 549–561. Crossref, Google Scholar - 29. , Lyapunov functionals for the coincidence between the first and the second Lyapunov stability methods, in New Trends in Fluid and Solid Models: Proceedings of the International Conference in Honour of Brian Straughan (World Scientific, 2009), pp. 113–121. Link, Google Scholar
- 30. , A positive recurrence criterion associated with multidimensional queueing processes, J. Appl. Probab. 17(3) (1980) 790–801. Crossref, Web of Science, Google Scholar
- 31. , Sufficient conditions for positive recurrence and recurrence of specially structured Markov chains, Oper. Res. 16(4) (1968) 858–867. Crossref, Web of Science, Google Scholar
- 32. , A nonlinear model for a smart semantic browser bot for a text attribute recognition, Fractals 28(2) (2020) 2050045. Link, Web of Science, Google Scholar
- 33. , Introduction to Probability Models, Chap. 2, 10th edn. (Academic Press, 2010), pp. 21–95. Crossref, Google Scholar
- 34. , Theory and Mathematical Statistics for Probability Engineers (Pergamon Press, Oxford, 1984). Google Scholar
- 35. , Can kidney deceased donation systems be optimized? A retrospective assessment of a country performance, Eur. J. Publ. Health 22(2) (2011) 290–294. Crossref, Web of Science, Google Scholar
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