Faculty Publications
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Item Insights on the advanced processes for treatment of inorganic water pollutants(Elsevier, 2020) Mohan Balakrishnan, R.M.; Uddandarao, P.; Manirethan, V.; Raval, K.A remarkable increase in the discharge of inorganic pollutants globally from various sources such as mines, industries, or agricultural lands is a major threat to the environment. Development of novel methodologies to mitigate the effects caused by inorganic pollutants in water is crucial in addressing environmental issues. In this regard, various biological sources as nanosorbents and biosensors are venerated as superior entities for the detection and removal of inorganic contaminants. This chapter summarizes the utility of marine bacterial melanin- and fungal-based selenium nanoparticles for the adsorption and further reports endophytic fungal–based ZnS and PbS nanoparticles for the detection of inorganic pollutants from the aqueous systems; moreover, it gives a perspective on current challenges for the removal of contaminants. © 2020 Elsevier Inc. All rights reserved.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 Sensor Classifications and Their Applications in IoT Systems(Institute of Electrical and Electronics Engineers Inc., 2023) Sajja, K.; Bhowmik, B.The Internet of Things (IoT), which connects various systems and devices to create more innovative environments, has completely changed how we interact with technology. Sensors are essential to the success of IoT systems because they are vital in gathering and analyzing real-time data from the physical environment. This paper comprehensively analyses sensor classifications and their applications in IoT systems. It explores the different types of sensors commonly used in IoT, their functionality, and their suitability for various IoT-enabled intelligent applications. This paper also provides valuable insights for IoT designers and researchers in selecting appropriate sensors and developing more efficient and reliable intelligent systems for the future. © 2023 IEEE.Item New Approach for Monitoring the Underground Coal Mines Atmosphere Using IoT Technology(International Information and Engineering Technology Association, 2023) Tripathi, A.K.; Mangalpady, M.; Prasad, S.; Pavan, J.; Kant, R.; Choubey, C.K.Because the atmosphere in underground coal mines contains toxic and flammable gasses, assessing the well-being of miners at all times while working in underground coal mines is an important task. The hazardous environment in underground coal mines reduces the miners' performance, which negatively affects the overall productivity of the mines. Therefore, it is necessary to regularly monitor the environment of underground mines so that appropriate safety measures can be taken. In this work, an IoT-based system was proposed using sensors to detect the concentration of mine gasses, air temperature, and humidity in the environment of underground mines. The developed wireless monitoring system was tested under laboratory conditions for measuring carbon dioxide, carbon monoxide, methane gas, air temperature, and humidity. The proposed monitoring system allows to store the measurement data that will help in predicting future hazardous conditions through artificial neural network and machine learning. The results of this research will help to introduce an innovative monitoring technology in underground coal mines so that miners' safety can be improved by changing safety measures from preventive to predictive. © 2023 Lavoisier. All rights reserved.