Design of an Intelligent Crypto Currency Mining Farm (CMF) For Vehicle Using ML
Keywords:
Crypto vehicle, Mining, IoT, AI, BitcoinAbstract
Globally all the companies have made huge Capital investment on their workstation Computers, mostly this huge investment has not utilized efficiently which will leads to a less profit to investment ratio, In order to make high profit to investment ratio, workstation Computer’s unused time should be efficiently used by Crypto Currency Mining with the help of Artificial Intelligence which will earn extra income to the owners. The considerable major problems, while doing cryptocurrency mining with usual and traditional PC systems are 1. System Health Issues, such as heating up 2. Algorithm for System availability free timing for mining 3. Electricity consumption vs crypto coin ratio. The proposed AI (LSAI48266x) board has the ability to tackle the above discussed problems with PC mining by the Intelligent AI algorithm. In this proposed system we introduce an Artificial Intelligence board based on several parameters this will decide the Crypto Currency Mining whenever it seems employee is not present in the Workstation Computers. While it's certainly possible to load up good hash, set it all up and leaves it running for years, it's best to do a smart AI LSAI48266x hardware board to get the most out of your CPU without using too much electricity. If we can lower our consumption without affecting performance, we stand to make some profit. The easiest cryptocurrency to mine is one that doesn't require you to build a massive mining rig. Although it was initially not possible to mine Bitcoin using laptops and desktops, the growing mining difficulty as well as the advent of Application Specific Integrated Circuit hardware created specifically for bitcoin mining has made it all but impossible to profitably mine Bitcoin at home using the processing power of a PC or laptop computer.
References
- S. Nakamoto and A. Bitcoin. (2008). A peer-to-peer electronic cash system. Bitcoin. [Online]. Available: https://bitcoin.org/bitcoin.pdf
- A. Tandon, P. Kaur, M. Mäntymäki, and A. Dhir, ‘‘Blockchain applications in management: A bibliometric analysis and literature review,’’ Technol. Forecasting Social Change, vol. 166, May 2021, Art. no. 120649.
- L. Van Der Horst, K.-K.-R. Choo, and N.-A. Le-Khac, ‘‘Process memory investigation of the bitcoin clients electrum and bitcoin core,’’ IEEE Access, vol. 5, pp. 22385–22398, 2017, doi: 10.1109/ACCESS. 2017.2759766.
- A. R. Hashmi and J. V. Biesebroeck, ‘‘The relationship between market structure and innovation in industry equilibrium: A case study of the global automobile industry,’’ Rev. Econ. Statist., vol. 98, no. 1, pp. 192–208, Mar. 2016.
- P. K. Sari and A. Purwadinata, ‘‘Analysis characteristics of car sales in E-commerce data using clustering model,’’ J. Data Sci. Appl., vol. 2, no. 1, pp. 19–28, 2019.
- N. Kshetri and J. Voas, ‘‘Blockchain in developing countries,’’ IT Prof., vol. 20, no. 2, pp. 11–14, Mar. 2018, doi: 10.1109/MITP.2018.021921645.
- A. A. Addo and C. Avgerou, ‘‘Information technology and government corruption in developing countries: Evidence from Ghana customs,’’ MIS Quart., Manage. Inf. Syst., 2020.
- J. Barkai, ‘‘Vehicle diagnostics-are you ready for the challenge?’’ SAE Tech. Paper 2001-01-3197, 2001. [9] GM Phaseout Gas and Diesel Cars. Accessed: Jan. 1, 2021. [Online]. Available: https://www.forbes.com/wheels/news/gm-phase-out-gasdiesel-cars-2035/
- Motor Intelligence. Accessed: Jan. 11, 2021. [Online]. Available: http://motorintelligence.com/
- EV Era Has Begun. Accessed: Jan. 25, 2021. [Online]. Available: https://semiengineering.com/the-ev-era-has-begun-here-are-five-thingswe-need-for-it-to-succeed/
- S. Hakak, W. Zada Khan, G. Amin Gilkar, B. Assiri, M. Alazab, S. Bhattacharya, and G. Thippa Reddy, ‘‘Recent advances in blockchain technology: A survey on applications and challenges,’’ 2020, arXiv:2009.05718. [Online]. Available: http://arxiv.org/abs/2009.05718
- T. A. Hulme, ‘‘The ethical and legal aspects of blockchain technology and cryptoassets,’’ in Cryptocurrency and Blockchain Technology, S. Corbet, A. Urquhart, and L. Yarovaya, Eds. Berlin, Germany: De Gruyter, 2020, pp. 131–148, doi: 10.1515/9783110660807-008.
- S. Balamurugan, A. Ayyasamy, and K. S. Joseph, ‘‘IoT-blockchain driven traceability techniques for improved safety measures in food supply chain,’’ Int. J. Inf. Technol., 2021, doi: 10.1007/s41870-020-00581-y.
- H.-Y. Paik, X. Xu, H. M. N. D. Bandara, S. U. Lee, and S. K. Lo, ‘‘Analysis of data management in blockchain-based systems: From architecture to governance,’’ IEEE Access, vol. 7, pp. 186091–186107, 2019, doi: 10.1109/ACCESS.2019.2961404.
- P. Fraga-Lamas and T. M. Fernandez-Carames, ‘‘A review on blockchain technologies for an advanced and cyber-resilient automotive industry,’’ IEEE Access, vol. 7, pp. 17578–17598, 2019
Downloads
Published
Issue
Section
License
Copyright (c) IJSRSET

This work is licensed under a Creative Commons Attribution 4.0 International License.