Faculty Publications
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Publications by NITK Faculty
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Item Analysis of Potential Regions for Maritime using QGIS Tool(Institute of Electrical and Electronics Engineers Inc., 2022) Ramesh, N.V.K.; Sai Karthik, C.V.; Yugesh, J.; Vani, B.; Reddy, B.The paper explains the advancement of seafood production using remote sensing methods virtually. It is an attempt to coordinate the gauging rules as well as GIS to determine an appropriate basis for arranging drifting enclosures in the seaward climate, which could serve as a model for comparable cases. Now a days due to more population the agriculture food is not sufficient for the survival of the human beings. So, people are checking for the alternatives and marine aqua culture is the fast-growing food resources. Marine aqua culture has high value of species for the food supplies and also has negative impact on water supply.The main objective of this paper is to use GIS software to create environmental models for the development of seafood and to enhance food production.The analysis of variance revealed critical spatial variation for ocean surface current, total suspended matter, and chlorophyll-a.By using GIS software we are collecting the parameters of the oceans and check the suitable locations for seafood production. Coastal mariculture is presently confronting huge tensions, particularly from the anthropogenic exercises, variable climate, and multi-client struggle. © 2022 IEEE.Item An efficient way to vehicle movement monitor in flooded underpass using IoT(Institute of Electrical and Electronics Engineers Inc., 2022) Suresh, N.; Bala Vamsi, T.; Aravind, Y.; Vani, B.; Reddy, B.Humans are now suffering issues because of the rapid growth of the human population. Apart from that, there is a deficiency of appropriate infrastructure in development projects, such as roads and underpasses, which results in a range of challenges, such as water logging and floods. In the event of heavy rain, underpasses and roads get immediately swamped with water, resulting in traffic gridlock and car immobilization. Until recently, there were no planned strategies for monitoring the quantity of water in underpasses and flooded areas, and this is expected to change. We will need to keep a watch on it in the news or on Google Maps, or we will need to find out if anybody else has reported it before. One of the problems with this system is that the information we get moves slowly and easily may be misrepresented or manipulated. The principal aim of this system is to keep track of the quantity of water that is present in underpasses and other flood-prone areas. The data collected by our water level sensor, which we are using to monitor water level, is controlled, and uploaded by an Arduino board equipped with an ESP8266 module. A regular stream of data will be delivered to the cloud, and the vehicle movement will be rerouted in the most suitable way. It follows that individual who are passing via an underpass or on flooded roads may arrange their journeys appropriately by accessing information stored in the cloud. Another feature is the installation of an LCD display near the underpass, which continuously updates the water level, allowing anyone in the neighborhood to determine if it is safe for their car to pass through or not. A DC motor pump is then utilized to pump out the water when the level of the water exceeds a predetermined threshold value. This system has been tested in a number of configurations and has consistently performed as intended and produced dependable results in all circumstances. Furthermore, since it is less costly than prior prototypes, the proposed system is both easy to use and simple to keep up to date. © 2022 IEEE.Item Bat Optimization Model for Electric Vehicle Route Optimization Under Time-of-Use Electricity Pricing(Springer, 2023) Vani, B.; Kishan, D.; Ahmad, M.W.; Naresh Kumar Reddy, B.In the framework of fuel reduction and energy conservation, the electric vehicles (EV’s) has been identified as a promising option in contrast to fuel-driven vehicles. EV’s battery limits to require visiting a greater number of times to the recharging stations, which must be viewed as in the route planning to keep away from inefficient vehicle routes with lengthy diversions. These problems have to consider, we propose an Efficient Electric Vehicle Route Optimization with Time-of-Use Electricity Pricing using Bat algorithm. Which can reduce the used vehicles as well as electricity-cost and total travel distance. Additionally, functional model and collective models are used to minimize the objectives: distance and cost. The computational assessment in light of the notable benchmarking test instances exhibits, proposed optimization algorithm electricity cost conservation on average 12.17% with Learnable Partheno-Genetic Algorithm (Yang et al. in IEEE Trans Smart Grid 6:657–666, 2015) 8.45% with VNS/TS Algorithm (Lin et al. in Trans Res Part-C 130:103285, 2021) and 5.15% with Mixed Integer Programming model (Ham and Park in IEEE Access 9:37220–37228, 2021). © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.