A Survey Paper on Patient Health and Saline Level Monitoring System using IoT

Authors

  • Aman S. Ramteke  BE Student, Department Of Computer Science & Engineering, Dr. Babasaheb Ambedkar College of Engineering & Research, Nagpur, Maharashtra, India
  • Pranali A. Pardhi  BE Student, Department Of Computer Science & Engineering, Dr. Babasaheb Ambedkar College of Engineering & Research, Nagpur, Maharashtra, India
  • Shivani N. Gandlewar  BE Student, Department Of Computer Science & Engineering, Dr. Babasaheb Ambedkar College of Engineering & Research, Nagpur, Maharashtra, India
  • Khushbu C. Ingale  BE Student, Department Of Computer Science & Engineering, Dr. Babasaheb Ambedkar College of Engineering & Research, Nagpur, Maharashtra, India
  • Dhawal Dongre  BE Student, Department Of Computer Science & Engineering, Dr. Babasaheb Ambedkar College of Engineering & Research, Nagpur, Maharashtra, India
  • Ms. N. D. Sonwane  Assistant Professor, Department Of Computer Science & Engineering, Dr. Babasaheb Ambedkar College of Engineering & Research, Nagpur, Maharashtra, India

Keywords:

Ad-Hoc Team, Communication, Cooperative, Imperfect Information

Abstract

A popular board game Hanabi is a combination of cooperative gameplay with imperfect information. Partial observability makes the game, a challenging domain for AI research. Especially, when AI should cooperate with a human player. Imperfect information game is nontrivial due to complicated interplay of policies. The combination of cooperation, imperfect information, and limited communication make Hanabi an ideal challenge in both self-play and ad-hoc team settings. Ad-hoc team settings, where partners and strategies are not known in advance. In this paper, we are trying to review all such type of games, which is evaluated with the help of Artificial Intelligence and machine technique. We expect this article will help unify and motivate future research to take advantage of the abundant literature that exists to promote fruitful research in the multiagent community.

References

  1. K. Natarajan, “Smart Health Care System Using Internet of Things” Journal of Network Communications and Emerging Technologies (JNCET Volume 6, Issue 3, March (2016)
  2. Rameswari. R, Divya. N “Smart Health Care Monitoring System Using Android Application: A Review” International Journal of Recent Technology and Engineering (IJRTE)
  3. Manisha Shelar, “Wireless Patient Health Monitoring System” International Journal of Computer Applications Volume 62– No.6, January 2013.
  4. Mansi G. Chidgopkar , Aruna P. Phatale "AUTOMATIC AND LOW COST SALINE LEVEL MONITORING SYSTEM USING
  5. WIRELESS BLUETOOTH MODULE AND CC2500 TRANSRECEIVER " International Journal of Research in Engineering and Technology ; Volume:04 Issue: 09 |September- 2015
  6. C.C. Gavimath , Krishnamurthy Bhat , C.L. Chayalakshmi , R. S. Hooli and B.E.Ravishankera "DESIGN AND DEVELOPMENT OF VERSATILE SALINE FLOW RATE MEASURING SYSTEM AND GSM BASED REMOTE MONITORING DEVICE " International Journal of Pharmaceutical Applications Vol 3, Issue 1, 2012.
  7. Pattarakamon Rangsee,Paweena Suebsombut,Phakphoom Boonyanant "Low-Cost Saline Droplet Measurement System using for Common Patient oom in Rural Public Hospital " The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE) 978-1-4799-3855-1/14 2014
  8. Devendra P Gadekar, Dr. Y P Singh,” Efficiently Identification of Misrepresentation inSocial Media Based onRake Algorithm” in International Journal of Engineering & Technology, 7 (4.36) (2018) 471-474.
  9. D. P. Gadekar, N. P. Sable, A. H. Raut, “Exploring Data Security Scheme into Cloud Using Encryption Algorithms” International Journal of Recent Technology and Engineering (IJRTE), Published By:Blue Eyes Intelligence Engineering & Sciences Publication, ISSN: 2277-3878, Volume-8 Issue-2, July2019, DOI: 10.35940/ijrte.B2504.078219, SCOPUS Journal.
  10. P.Kalaivani, T.Thamaraiselvi, P.Sindhuja and G.Vegha "Saline Level Monitoring System Using Arduino UNO Processor " Asian Journal of Applied Science and Technology (AJAST) Volume 1,March 2017.
  11. Priyadharshini.R, Mithuna.S, Vasanth Kumar.U, Kalpana Devi.S, Dr. SuthanthiraVanitha.N. "Automatic Intravenous Fluid Level Indication System for Hospitals" International Journal for Research in Applied Science & Engineering Technology ; Volume 3 Issue VIII, August 2015.
  12. H. Osawa, “Solving Hanabi: Estimating hands by opponent’s actions in cooperative Game with incomplete information,” in Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015. Online]. Available: https://aaai.org/ocs/index.php/WS/AAAIW15/paper/view/10167
  13. P. Hernandez-Leal, B. Kartal, and M. E. Taylor, “A survey and critique of multiagent deep reinforcement learning,” Springer,16 October 2019.
  14. C. Cox, J. De Silva, P. Deorsey, F. H. Kenter, T. Retter, and J. Tobin, “How to make the perfect firework display: Two strategies for Hanabi,” Mathematics Magazine, vol. 88, no. 5, pp. 323-336, 2015.
  15. R. Canaan, X. Gao, Y. Chung, J. Togelius, A. Nealen, and S. Menzel, “Behavioural Evaluation of Hanabi Rainbow DQN Agents and Rule-Based Agents”, 16th AAAI Conference on AIIDE, 2020
  16. P. Stone, G. A. Kaminka, S. Kraus, and J. S. Rosenschein, “Ad-Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination”, American Association for Artificial Intelligence, 2010.
  17. A. Bauza, “Hanabi” https://boardgamegeek.com/boardgame/98778/ hanabi,2010.
  18. G. Brockman, V. Cheung, L. Pettersson, J. Schneider, J. Schulman, J. Tang, W. Zaremba, “Open AI Gym”, arXiv:1606.01540v1 cs. LG] 5 Jun 2016.
  19. N. Brown and T. Sandholm, Science, “Superhuman AI for heads-up no-limit poker: Libratus beats top professionals”, 10.1126/science. aao1733 (2017).
  20. M. Moravcik, M. Schmid, N. Burch, V. Lisy, D. Morrill, N. Bard, T. Davis, K. Waugh, M. Johanson, M. Bowling, “DeepStack: Expert-Level Artificial Intelligence in heads-up no-limit Poker”, arXiv: 1701.01724v3 cs. AI] 3Mar 2017.
  21. G. Tesauro “Temporal difference learning and TD-Gammon”, ACM, March 1995/ Vol. 38, No.3.
  22. D. Silver, A. Huang, C. J. Maddison, A. Guez, L. Sifre, G. van den Driessche, J. Schrittwieser, I. Antonoglu, V. Panneershelvam, M. Lanctot, S. Dielema, D. Grewe, J. Nham, N. Kalchbrenner, I. Sutskever, T. Lillicrap, M. Leach, K. Kavukcuoglu, T. Graepel and D. Hassabis, “Mastering the game of GO with deep neural networks and tree search”, doi:10.1038/nature16961 vol 529 Jan 2016.
  23. N. Ensmenger “Is chess the drosophila of artificial intelligence A social history of an algorithm”, DOI:10.1177/0306312711424596 sss.sagepub.com 2011.
  24. A. A. Sanchez-Ruiz, M. Miranda, “A machine learning approach to predict the winner in StarCraft based on influence maps”, http://dx.doi.org/10.1016/j.entcom.2016.11.005
  25. J. Schaeffer, R. Lake, P. Lu, and M. Bryant, “Chinook: The world man-machine checkers champion”, AI magazine volume 17 Nov 1 (1996) AAAI.
  26. M. Campbell, A. J. Hoane Jr., Feng-hsiung Hsu, “Deep Blue”, PII: S0004-3702(01)00129-1 2001 by Elsevier.
  27. A. Iraci, “Convensions for Hanabi”, http://hanabi.pythonanywhere.com/static/Hanabi.pdf, 2018.

International Journal of Scientific Research in Science and Technology

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Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

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How to Cite

[1]
Aman S. Ramteke, Pranali A. Pardhi, Shivani N. Gandlewar, Khushbu C. Ingale, Dhawal Dongre, Ms. N. D. Sonwane "A Survey Paper on Patient Health and Saline Level Monitoring System using IoT" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 3, pp.383-387, May-June-2021.