Faculty Profile

About

Have served the institution for 28years and currently in the capacity of Associate professor. I obtained my PhD from VTU, Belagavi under the title “Design and Development of computational Framework for Occupancy Detection” in 2022.

I have attended a number of faculty development courses and coordinated few. I have served the institution in various capacities of Departmental BOE, Departmental procurement committee, support for NBA documentation and file maintenance, chief coordinator valuation unit. Member of ISA.

Education

• Ph.D - Design and Development of Computational Framework for Occupancy Detection
  VTU
  Passed Year: 2022 | Program Type: PartTime
• ME - Electronics and communication
  BMSCE/Bangalore university
  Passed Year: 2000 | Program Type: FullTime
• BE - Instrumentation Technology
  DR AIT /Bangalore university
  Passed Year: 1996 | Program Type: FullTime

Selected Publications

• Journal | Published On : 18-06-2024
  Preethi K Mane, K Narasimha Rao
  Novel 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
  Weblink
• Journal | Published On : 01-08-2020
  Preethi Krishna Rao Mane, K Narasimha Rao
  Publication 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
  Weblink
• Journal | Published On : 17-04-2020
  Narayan Panigrahi2 Kanishk Rai1,, Keshav Kumar Thakur1, Preethi K Mane1
  Publication 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
  Weblink
• Conference | Published On : 10-02-2020
  S. Kumuda, Preethi K Mane
  Publication date 2020/2 Conference 2020 International Conference on Inventive Computation Technologies (ICICT) Issue 978-1-7281-4685-0 Description The people with hearing and speaking difficulties use sign language to converse with each other. They have difficulties while conversing with people who do not know sign language. We have addressed this issue in our proposed project. This project proposes a model of Smart gloves and flex sensors for Sign language recognition. The proposed approach is based on detection of the finger movements and hand gestures to identify the gesture using signal processing kit in LabVIEW software and a data acquisition device (NI USB 6008 DAQ card). The signal is processed and is used to identify the sign shown and concatenate the letters into suitable word and also present the word in audio format. In our work we aim to provide a solution for the trainers in deaf and dumb schools to display letters, with its associated visual display, along with audio output, making learning very interactive and encouraging. It can be …
  Weblink
• Journal | Published On : 25-12-2019
  K. Narasimha Rao Preethi K. Mane
  hAuthors 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
  Weblink
• Conference | Published On : 16-12-2019
  Kanishk Rai, Keshav Kumar Thakur, Preethi K Mane, Narayan Panigrahi Publication date 2019/12/16
  Conference 2019 IEEE International Symposium on Smart Electronic Systems (iSES)(Formerly iNiS) Pages 390-395 Publisher IEEE Description With the advent of VLSI technology; the ability to acquire, filter and analyze low power and highly random signals has increased. Signal acquisition systems have become smaller, more accurate, portable and extremely reliable. EEG is a highly sought upon signal acquisition system having range of applications in neurological and psychiatry treatments. Yet this system is costly and often beyond the availability of a common patient. In this paper we propose the design of an EEG system which is low cost, making it affordable for common patients yet robust enough to acquire EEG signals for critical neuro-psychiatric study. Also, we review the current state of research in the field of EEG acquisition systems, signal processing of EEG signal and its applications to design a low-cost EEG system. Total citations Cited by 1
  Weblink
• Book Chapter or Books | Published On : 25-04-2018
  Preethi K Mane, K Narasimha Rao
  Publication date 2018/4/25 Conference Computer Science On-line Conference Pages 212-222 Publisher Springer, Cham Description With the adoption of increasing number of occupancy sensor in building premises, there is a growing concern about the inclusion of the smarter features for catering up sophisticated demands of information processing in Internet-of-Things (IoT). Although, there are various commercially available occupancy sensors, but there is a bigger deal of trade-off between the existing offered featured and actual demands of the user that is quite dynamic. Therefore, we reviewed the most potential research work carried out towards incorporating various features of occupancy sensor in present times in order to investigate the degree of effectiveness in existing research contribution with respect to problems, techniques, advantages, and limitation. This is the first reported review manuscript in occupancy sensing that offers a quick view of existing research trends as well as brief of potential research gap with respect to open … Total citations Cited by 4
  Weblink
• Journal | Published On : 01-04-2018
  K. Narasimha Rao , Preethi K. Mane
  2018/4/1 Journal International Journal of Electrical and Computer Engineering (IJECE) Volume 8 Issue 2 Total citations Cited by 4
  Weblink
• Conference | Published On : 25-11-2017
  SR Desai, Preethi K Mane, Veena N Hegde, MN Mamatha
  Publication date 2017/11/29 Conference 2017 5th IEEE International Conference on MOOCs, Innovation and Technology in Education (MITE) Pages 141-145 Publisher IEEE Description Assessment of Learning Outcomes are important for successful implementation of Outcome Based Education (OBE). The learning outcomes on a long run are reflected in Program Educational Objectives (PEOs), by the graduates of a program, spread in different knowledge spheres. This paper represents a case study implementation for PEO evaluation. An approach for evaluating PEO as an indirect means is being proposed in this case study. The method emphasizes on evaluation and attainment of PEOs. This is accomplished through alumni and employer surveys. These surveys are carried out more systematically by an online process to collect feedback from various stakeholders once in a year. The model proposed here is for obtaining the response for survey questionnaire at the institutional level through alumni association in coordination with placement cell, Industry Institution Interaction cell (IIIC). Further the …
  Weblink
• Conference | Published On : 11-05-2017
  Preethi Mane k, Narasimha Rao K
  Publication date 2017/5/11 Conference International Conference on Trends in Electronics and Informatics (ICEI 2017). Issue 978-1-5090-4257-9/17/$31.00 ©2017 IEEE Pages 25-31 Description Research work towards occupancy detection system dates back more than a decade and there has been significant involvement of various sensor techniques especially using prototyping in this field. After reviewing existing mechanism of occupancy detection techniques, we find that there has been significant contribution of Occupancy detection in multiple applications. Similarly, on the other hand, Doppler radar has also been used significantly in healthcare section. Hence, research towards integrating occupancy detection using Doppler radar could increase better possibility of sensing the target. This paper presents a technique that uses intermittent wave signal generated from bio-signals instead of conventional continuous wave signal to achieve a power efficient system. The study outcome was found to possess better performance of sensing with respect to signal quality, processing time and cost-effective … Total citations Cited by 2
  Weblink
• Conference | Published On : 11-11-2014
  BM Shivalingesh, C Ramesh, SR Mahesh, R Pooja, K Mane Preethi, S Kumuda
  Publication date 2014/11 Journal International Journal of Research and Scientific Innovation Volume 1 Issue 6 Pages 7-10 Description In this paper we present how to detect the leakage using a gas sensor and book a new cylinder automatically by sending a message to agency. The gas sensor MQ-6 is very sensitive to methane and propane which are main constituents of LPG. A load cell is used to measure the weight of cylinder continuously. The weight of cylinder is displayed continuously and some 4-5 MQ-6 sensors will be placed in different place of room, output of sensor will become high when there is LPG leakage is present. When the sensor output is high buzzer will be switched on and a message will be sent to customer and nearest gas agency via GSM. When the weight of cylinder equal to threshold value a message will be sent to agency to book new cylinder. The same system is implemented using LabVIEW, and a statistical analysis of gas sensor and load cell is done. Total citations Cited by 8
  Weblink

Other Information

E prayog coordinator ,2012-2015
Best Project award – Institution-2017
NPTEl courses – 8 weeks-2018- Elite student
FOSSEE- ESIM- 1 design submitted
 Currently: Nodal coordinator: 100 5G Use Case Labs to academic institutions was
awarded by Hon’ble PM was held on the 27.10.2023 at India Mobile Congress 2023,
where in BMSCE, esteemed college was one of the selected colleges for
the 5G Labs
 Obtained grant of two lakhs, FRPS scheme, BMSCE, towards ”Advanced control
Setup with DCS”
 GIAN Course-2022:Sensing and Related Technologies for the Grand Challenges of the 21st
Century: Climate, Energy, Water, Food, Health, and Mega-Cities – Co-Coordinator
 SPICES- Financial Year 2022-23-financial assistance offered: Rs.1,00,000/- [Rupees One lakh
only)- Co-Coordinator
 BMSCE Upagraha: DPD-ADCS
 Future- skills technological training:2021- Machine Learning and Artificial intelligence-IIT-I
 Best project award- Institutional level-2017
 Best student research forum award- 2019 IEEE International Symposium on Smart Electronic
Systems (iSES)(Formerly iNiS)
 Best paper award: 5th National conference on networking, embedded and wireless
system

Download Resume