Abstract
Growth of Artificial Intelligence and its rational thought “doing things right” makes handling fraudulent detection practices by implementing Machine Learning and Deep Learning methods. The detection needs to analyze regular patterns with its anomalies that are easy and speedy manner by machine than human cognitive process. The humans perceive and predict suspicious situation but machines analyze and detect. Analyzing regular patterns to anomalies enable machine to detect rationally than human inspections in various data. Hence human cognition capabilities incorporating in machine is trend of technology to prevent fraudulent practice. This work explores re-engineering on discovering fraudulent practice in dispensing unit. Initially short delivering is established, understand dispensing unit in the retail outlet of Petroleum products in responding to short volume, which is used for fraudulent practice and triggering methods. Then explored concepts are structured as theory for the short delivery which is to propose the secure system to prevent fraud.
Supported by Legal Metrology, Telangana.
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References
Papadopoulos, A.V.: Politecnico di Milano, Dipartimento di Electronica, Informazione e Bioingegneria, Labouratories over the network: from remove mobile, 1 ISSN0th IFAC symposium Advances in Control Education, The International Federation of Automatic Control August 2 2249-684X, Sheffield, UK, pp. 8–30 (2012)
Dewan, A., Ay, S.U., Karim, M.N., Beyenal, H.: Alternative power sources for remote sensors: a review. J. Power Sources 245, 129–143 (2014)
Myers, B.A.: Using handhelds for wireless remote control of PCs and appliances. Interact. Comput. 17(3), 251–264 (2005)
Zhu, M., He, T., Lee, C.: Technologies toward next generation human machine interfaces: from machine learning enhanced tactile sensing to neuromorphic sensory systems. Appl. Phys. Rev. 7(3), 031305 (2020)
Jeong, H.D.J., Lee, W., Lim, J., Hyun, W.: Utilizing a Bluetooth remote lock system for a smartphone. Pervasive Mob. Comput. 24, 150–165 (2015)
Kinoshita, H., et al.: Remote handling devices in MLF. Nuclear Instrum. Methods Phys. Res. A 600, 78–80 (2009)
Limbasiya, T., Doshi, N.: An analytical study of biometric based remote user authentication schemes using smart cards. Comput. Electr. Eng. 59, 305–321 (2017)
Hernandez-Jayo, U., Garcia-Zubia, J.: Remote measurement and instrumentation laboratory for training in real analog electronic experiments. Measurement 82, 123–134 (2016)
Soto-Cordova, M.: A remote control and supervision device through internet, research and development division national. In: IFAC Telematics Applications in Automation and Robotics, Institute for Research and Training in Telecommunications (INICTEL), Weingarten, Germany (2001)
Vimal Babu, U., Ramakrishna, M., Nagamani, M.: Review on utilization of nanomaterials and polymers in fruit ripening, food packing and its hazards to human health (2015)
Limbasiya, T., Doshi, N.: An analytical study of biometric based remote user authentication schemes using smart cards. Comput. Electr. Eng. 305–321, 59 (2017)
Vimal Babu, U., Krishna, R., Mani, N.: Review on the detection of adulteration in fuels through computational techniques. Mater. Today: Proc. 4(2), 1723–1729 (2017)
Vimal Babu, U., Mani, M.N., Krishna, M.R., Tejaswini, M.: Data preprocessing for modelling the audulteration detection in gasoline with BIS. Mater. Today: Proc. 5(2), 4637–4645 (2018). https://doi.org/10.1016/j.matpr.2017.12.035. http://www.sciencedirect.com/science/article/pii/S2214785317330109
Vimal Babu, U., Ramakrishna, M., Nagamani, M., et al.: Detection of fuel adulteration through multivariate analysis using python programming. IOSR J. Comput. Eng. (IOSR-JCE) 20(5), 23–26 (2018)
Nagamani, M., Babu, U., Ramakrishna, M., Kumar, S.: Manipulation of electronic devices and data in dispensing pumps. Int. J. Innovative Technol. Exploring Eng. 8, 1–13 (2019). https://doi.org/10.35940/ijitee.K1287.0981119
Vimal Babu, U., Rama Krishna, M., Naga Mani, M., Tejaswini, M: Environmental and health hazards of fuel adulteration and its detection, safeguards. Int. J. Electrical Eng. Educ. The Author(s) 2020 Article reuse guidelines:https://sagepub.com/journals-permissions. https://doi.org/10.1177/0020720920940609. https://journals.sagepub.com/home/ije
Times of India Hyderabad Petrol Pump Owners cheating by inserting chips in pumps. https://timesofindia.indiatimes.com/city/hyderabad/petrol-pump-owners-install-cheat-chips-trick-motorists-in-telangana-and-andhra-pradesh/articleshow/77957198.cms
6th September 2020, Seized 11 petrol pumps for cheating. https://www.newindianexpress.com/states/telangana/2020/sep/06/eleven-fuel-pumps-in-telangana-seized-more-than-13-arrested-for-duping-people-2193046.html/
Reference manual of C4000 processor based dispensing pumps. http://www.compac.biz/vdb/document/551
MobileMark Homepage. https://www.thehindu.com/news/national/andhra-pradesh/racket-pilfering-fuel-at-petrol-pumps-busted/article32526270.ece/
US patent: Williams 2014. https://patentimages.storage.googleapis.com/9c/d1/0d/cd215c91b5bebc/US8844587.pdf
Acknowledgements
We would like to acknowledge Legal Metrology Departments from Telangana and Andra Pradesh states for their support and opportunity to work on Fuel Dispensing pump outlet system fraud analysis by understanding thee entire system functionality. We would also like to acknowledge the Mr. Ajay kumar BPCL, Mumbai willing to collaborate and opportunity for the University students to work in the area of Machine learning and Deep learning methods to explored practical observation data. Finally acknowledgement to School of Computer and Information Sciences, University of Hyderabad for environment to work in this domain with resource support.
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Vimal Babu, U., Nagamani, M., Raju, S., Rama Krishna, M. (2021). Fraudulent Practices in Dispensing Units and Remedies. In: Singh, M., Kang, DK., Lee, JH., Tiwary, U.S., Singh, D., Chung, WY. (eds) Intelligent Human Computer Interaction. IHCI 2020. Lecture Notes in Computer Science(), vol 12615. Springer, Cham. https://doi.org/10.1007/978-3-030-68449-5_8
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