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1.18-06-2024Novel Framework for Multi-Scale Occupancy Sensing for Distributed Monitoring in Internet-of-Things: Wireless Personal Communications, Pages 1-16, Publisher-Springer US: Occupancy sensing is one of the integral parts of modern evolving security surveillance and monitoring systems used over different types of infrastructure. With multiple forms of occupancy sensors, the prime idea of occupancy sensing is to identify the presence or absence of occupants in a precisely monitored area, followed by transmitting the sensing information for storage or prompting a set of commands from the connected control units. A review of existing schemes exhibits the presence of the adoption of multiple methodologies over different variants of use cases; however, they are quite case-specific, use expensive deployment processes, and perform highly sophisticated operations. Currently, no studies specifically reported using multi-scale occupancy sensing suitable for large and distributed Internet-of-Things (IoT) environments. Therefore, the proposed study introduces a mechanism of novel multi-scale occupancy sensing considering a smart university campus use case. However, it can be implemented over different infrastructures connected to an IoT environment. The proposed scheme is implemented considering varied forms of cost-effective sensors, handheld devices and access points for determining the state of occupancy in a large number of rooms on campus. The sensed data from distributed connected campuses are aggregated over a cloud server subjected to suitable preprocessing to increase the data quality suitable for reliable prediction. Multiple potential learning-based schemes are integrated with a proposed model to explore the best-fit model. This assessment scenario is not reported in the existing scheme to classify states of occupancy. The study outcome shows Convolution Neural Network and Long Short-Term Memory to accomplish higher accuracy than other learning approaches
Authors: Preethi K Mane, K Narasimha Rao
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2.04-04-2024“Non-invasive FBG-based contact lens for continuous intraocular pressure monitoring”, OpticalFiberTechnology84(2024)103777, Availableonline4April2024, 1068-5200/©2024ElsevierInc. Allrightsreserved.
Authors: S. Kumuda, G. Umaa, M. Umapathya, V.R. Anand, S. Raja Ramanan, S. Asokan,K. Rajanna
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3.24-03-2024 “Synthesis and characterization of graphene oxide and reduced graphene oxide chemically reduced at different time duration”, J Mater Sci: Mater Electron (2024) 35:637,Springer,
Authors: S. Kumuda, Uma Gandhi, Umapathy Mangalanathan, and K. Rajanna,
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4.01-08-2020International Journal of Electrical and Computer Engineering (IJECE) Vol. 10, No. 4, August 2020, pp. 4093~4100 ISSN: 2088-8708, DOI: 10.11591/ijece.v10i4.pp4093-4100 ? 4093 Journal homepage: http://ijece.iaescore.com/index.php/IJECE Analytical framework for optimized feature extraction for upgrading occupancy sensing performance .
Authors: Preethi K. Mane, K. Narasimha Rao
5.01-08-2020Publication date 2020/8/1 Journal International Journal of Electrical and Computer Engineering Volume 10 Issue 4 Pages 4093 Publisher IAES Institute of Advanced Engineering and Science Description The adoption of the occupancy sensors has become an inevitable in commercial and non-commercial security devices, owing to their proficiency in the energy management. It has been found that the usages of conventional sensors is shrouded with operational problems, hence the use of the Doppler radar offers better mitigation of such problems. However, the usage of Doppler radar towards occupancy sensing in existing system is found to be very much in infancy stage. Moreover, the performance of monitoring using Doppler radar is yet to be improved more. Therefore, this paper introduces a simplified framework for enriching the event sensing performance by efficient selection of minimal robust attributes using Doppler radar. Adoption of analytical methodology has been carried out to find that different machine learning approaches could be further used for improving the accuracy performance for the feature that has been extracted in the proposed system of occuancy system. Total citations Cited by 1
Authors: Preethi Krishna Rao Mane, K Narasimha Rao
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6.17-04-2020Publication date 2020 Journal Advances in Science, Technology and Engineering Systems Journal DOI: 10.25046/aj050416 Volume 5 Issue No. 4 Pages 119-129 (2020) Publisher www.astej.com
Authors: Narayan Panigrahi2 Kanishk Rai1,, Keshav Kumar Thakur1, Preethi K Mane1
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7.25-12-2019hAuthors K. Narasimha Rao Preethi K. Mane Publication date 2019/12 Journal International Journal of Innovative Technology and Exploring Engineering (IJITEE) Volume 9 Issue Issue-2,E-ISSN: 2278-3075 Pages 566-571 Publisher Blue Eyes Intelligence Engineering & Sciences Publication
Authors: K. Narasimha Rao Preethi K. Mane
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8.01-12-2019 AOCM-OAC: Architecture of Optimal Computational Model for Occupant Action Classification using Machine Learning”, Journal International Journal of Innovative Technology and Exploring Engineering (IJITEE),Volume 9,Issue-2,ISSN: 2278-3075 Pages 566-571 PublisherBlue Eyes Intelligence Engineering & Sciences Publication Dec 2019.
Authors: Preethi K. Mane, K Narasimha Rao
9.02-04-2018Sub-band basedFeature fusion and Hybrid fusion approaches for Multimodal Biometric Identication”, International Journal of Pattern Recognition and Artificial Intelligence, Submitted(Apr. .
Authors: DVR DEVI K NARASIMHA RAO
10.01-04-20182018/4/1 Journal International Journal of Electrical and Computer Engineering (IJECE) Volume 8 Issue 2 Total citations Cited by 4
Authors: K. Narasimha Rao , Preethi K. Mane
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11.09-03-2018Performance analysis of direct detection optical OFDM systems, International Journal of Engineering and Technology, Vol. 7, DO - 10.14419/ijet.v7i1.9.9747
Authors: Kumar D, Vijaya Kumar C N, Anil Kumar R
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12.30-11-2014''LPG Detection, Measurement and Booking System'',IJRSI,Publication date-2014,Volume-1,Issue-VI
Authors: BM Shivalingesh, C Ramesh, SR Mahesh, R Pooja, K Mane Preethi, S Kumuda
13.04-07-2014PISER Journal, ISSN 2347-6680(E), PISER 14, Volume.02,Issue: 04/06, July-August, July 2014
Authors: Preethi K. Mane and Kumuda S Shikha Priyadarshni, Aprisha Roy