MAT JOURNALS
Published March 5, 2020 | Version v1
Journal article Restricted

A Roadmap of Machine Learning and It's Applications

Authors/Creators

  • 1. Professor, Department of Electrical Engineering, Sanjivani College of Engineering, Kopargaon, Maharashtra, India

Description

Background- Recent trend as well human convenient purpose so many technologies are rising on nowadays such as Internet of things, machine learning, smart system, etc. These technologies are interrelated. The combination is called smart grid. Internet of things helps people to know their health conditions, as well “where is my vehicle”, etc. How neural network operate the similar method the machine learning starts to function. Purpose- The machine learning uses to convert the raw data into useful data, i.e. better decision. It is not only application of machine but business of all appliances. Method- It is one type of data science. That means collection of past to react on meaning full. If you see ten years back, famous Mobile systems were not there in the market because of fail to understand the customer expectations. That one is fulfilled by Machine learning. Approach: It collects the data from big data sources such as social network, mobile devices, internet transactions, network devices, etc. Summary: to sustain in the market, people need to update the system with help of machine learning.

Files

Restricted

The record is publicly accessible, but files are restricted. Log in to check if you have access.

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

Permission required for access

You are currently not logged in. Do you have an account? Log in here

Additional details

References

  • K. Loukil, H. Abbes, H. Abid, M. Abid and A. Toumi (October 2019), "Design and implementation of reconfigurable MPPT fuzzy controller for photovoltaic system", Ain shams Engg. J., Available at: https://doi.org/ 10.1016/j.asej.2019.10.002.
  • Abdelghani Harrag and Sabir Messalti (2019), "IC based Variable step size Neuro Fuzzy MPPT improving system performances", Energy Procedia, Volume 157, pp. 362-374, Available at: https://doi.org/10.1016/j.egypro. 2018.11.201.
  • Ping Wang, Zhe Zhou, Mengmang Cai, Jingbin Zhang (2013), "An improved multistage variable step MPPT algorithm for photovoltaic system", Int. Confer. on Comput. Sci. and Elect. Engg., Available at: https://doi.org/10.2991/iccsee.2013.568.
  • A. Chandramouli, V. Svachidambaranatham and R. Arulmurugan (August 2019), "Modelling and Design of Five Parameter Single Diode Photovoltaic Model with Artificial Intelligent MPPT Power System", Int. J. of Recent Tech. and Engg., Volume 8, Issue 2S8, pp. 1063-1068, DOI: 10.35940/ijrte.B1014.0882S819.
  • R. Arulmurugan (2018), "Transformerless H-bridge inverter based PV system for harmonic current compensation", J. of Elec. Engg., Version 18.3.20, pp. 1-8, Available at: http://jee.ro/articles/WS1503210577W59992c 5145433.pdf.
  • R. Arulmurugan (October 2018), "Analysis of Fuzzy-Logic MPPT Controller for Photovoltaic Application", J. of Alter. and Renew. Energy Sou., Volume 4, Issue 3, pp. 1-15, DOI: http://doi. org/10.5281/zenodo.1449819.
  • Kaveh Rahimi and Masoud Davoudi (January 2018), "Electric vehicles for improving resilience of distribution systems", Sustainable Cities and Society, Volume 36, pp. 246-256, Available at: https://doi.org/10.1016/j.scs. 2017.10.006.
  • R. Arulmurugan (August 2018), "Photovoltaic powered transformer less hybrid converter with active filter for harmonic and reactive power compensation", ECTI Tran. on Elect. Engg., Elec., and Comm., Volume 16, Issue 2, pp. 44-51, Available at: https://www. ecti-eec.org/index.php/ecti-eec/article/view/54 0/204.
  • Jan-Dirk Schmöcker, Mohammed A. Quddus, Robert B. Noland and Michael G. H. Bell (July 2008), "Mode choice of older and disabled people: a case study of shopping trips in London", J. of Trans. Geograp, Volume 16, Issue 4, pp. 257-267, Available at: https://doi.org/10.1016/j.jtrangeo.2007.07.002.
  • R. Arulmurugan, B. Rajender, B. Sathyavani and K. Balakrishna (2018), "An Overview of Converters and Inverters", Int. J. of Engg. and Tech., Volume 7, Issue 3.34, pp. 992-994, Available at: https://www.sciencepubco.com/ index.php/ijet/article/view/25348.
  • Tetsuo Akiyama and Minoru Kamata and Hiroshi Shimizu (October 1996), "Efficiency of electric vehicles in transportation system for the elderly and the disabled: Tetsuo Akiyama (Tokyo Metropolitan Univ.), Minoru Kamata (The Univ. of Tokyo), Hiroshi Shimizu (National Inst. for Environmental Studies)", JSAE Review, Volume 17, Issue 4, pp. 450, Available at: https://doi.org/10.1016/S0389- 4304(96)80643-6.
  • Klaus Schilling, Hubert Roth, Robert Lieb and Hubert Stützle (March 1998), "Sensor Supported Driving Aids for Disabled Wheelchair Users", IFAC Proc. Vols., Volume 31, Issue 2, pp. 235-238, Available at: https://doi.org/10.1016/S1474-6670(17)44202- 9.
  • R. Arulmurugan (2016), "Comparative evaluation of new FLC controller based MPPT for a DC to DC buck-boost zeta converter", WSEAS Trans. on Pwr. Sys., Volume 11, Issue 4, pp. 27-34, Available at: http://www.wseas.us/journal/pdf/power/2016/a 085716-227.pdf.
  • R. Arulmurugan and T. Venkatesan (2015), "Research and Experimental Implementation of a CV-FOINC Algorithm Using MPPT for PV Power System", J. of Elec. Eng. and Tech., Volume 10, Issue 4, pp. 1389-1399, e-ISSN: 2093-7423, Available at: http://koreascience. or.kr/article/JAKO201525961678071.page.
  • YaguoLei, BinYang, Xinwei Jiang, Feng Jia, Naipeng Li and Asoke K. Nandi (April, 2020), "Applications of machine learning to machine fault diagnosis: A review and roadmap", Mech. Sys. and Signal Proc., Elsevier, Volume 138, Available at: https://doi.org/10.1016/j.ymssp.2 019.106587.
  • R. Arulmurugan (December 2019), "Design and testing of stability improvement of nine multi-level H-inverter for distribution system", Int. J. of Robotics and Automa., Volume 8, Issue 4, pp. 245-255, ISSN: 2089-4856, DOI: 10.11591/ijra.v8i4.pp245-255.

Subjects

Electrical Engineering
http://matjournals.com/Engineering-Journals.html