Dr. Manjunath Managuli
@git.edu
Associate Professor Electronics & Communication ENgineering
KLS Gogte Institute of Technology Belagavi
EDUCATION
B.E, M.Tech, Ph.D
RESEARCH, TEACHING, or OTHER INTERESTS
Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Sensory Systems
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
Geeta S. Navale, Ravikiran Madala, Manjunath Managuli, N. Jayalakshmi, G. Kadiravan, and Ruchira Rawat
IEEE
The objective of the newest manufacturing paradigm, known as “Industry 5.0,” is to combine human intelligence with cutting-edge technology like the Internet of Things (IoT), artificial intelligence (AI), and robots to develop production systems that are incredibly effective and adaptable. But as we rely more on these technologies, we face additional privacy and security issues that might affect how dependable and trustworthy these systems are. In this report, we examine the most recent advancements in security and privacy for Industry 5.0 IoT and pinpoint the newest trends, obstacles, and possibilities. We also cover how these changes may affect manufacturing in the future and provide advice to scholars, practitioners, and policymakers.
K T Krishnamurthy, Manjunath Managuli, Rohith S, K R Niranjan, D Kumar, and Suhma B Malipatil
IEEE
Loss of important assets and living souls in streak flood is one of the annoyances of our day-to-day living. There have been consistent endeavors in making the early ready and cautioning framework to turn away or decrease the harm brought about by flashflood occasion. This work, wish to foster a low cost with low-power digital actual framework model using Raspberry Pi with the aid of camera to identify the increasing water level. Here image handling and text acknowledgment methods is adopted to identify the rising water level and eloquent a few difficulties in sending such a framework in the genuine climate. This investigation is useful to anticipate the opening/shutting of dam entryways to pre-exhaust the water.
V J Pandurangi, Manjunath Managuli, Sudha Salakhe, Sadhana Bangarshetti, and Pavan N. Kunchur
IEEE
To perform the analysis of single E-nose correspondence in each of the primary risk analysis associated with fuel observance instrument propose, this research work has developed an E-nostril board and fuel analysis module, which has been embedded with a quadcopter to evaluate the effectiveness of the sensing technology. This means that, fuel field experiments with the use of the quad copter shares the analysis of the fuel parameters, where the device is appropriate for any variety of fuel service. Moreover, the mile's mild weight and compactness of camera will help to expose and show the region of walking boot, that increases the controlled monitor autonomy fuel, which has become wider as an optimize observance principle for gas leak receiving current and network location simultaneously for simulating the overall performance of the battery operated quad copter drone.
Manjunath Managuli and Abhay Deshpande
Materials Today: Proceedings Elsevier BV
Abstract This work deals with the design & development of E-nose method, information gathering like explosive chemical substance, gases in military region the devise of E-nose depends on the array of sensors connecting to the tracking in sequence on situational responsiveness considered directions & convert inspection associated records for the duration of spatial operation exploration & the missions GPS, GSM with MP3 module also array of generating alert signals investigated to use an E-nose in this conduct experiment outcome shows with the aim of these design can be categorize & sensitivity to the dissimilar explosive chemical gas and substance such because methanol, ethanol, temperature with humidity the system also perform when the explosive chemicals detected immediately it will generate the alert signals and MP3 speaker system.
Manjunath Managuli*, , Abhay Deshpande, and
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
The development in soil quality measurement using E-nose system has proved to a reliable solution in monitoring and controlling the soil quality. This project aims at electronic nose system which can be used on universally at any scale to monitor the parameters in a given agricultural land. The evaluation of soil and camera devices with chemical sensor technologies remotely monitors the parameters such as pH level, soil moisture and amount of chemical nutrition contents in the soil. We will be using Raspberry-pi as our main board and through a camera it collects the real time data from land and this data will be fetched by the web server and displays on the monitor. User can access this data from anywhere through the internet. Using E-nose system the amount of soil content and suitable for crops information will be provided to agricultural field.
Manjunath Managuli, Abhaya Deshpande, and Sudha H Ayatti
IEEE
To propose a signal track division that use universal position method to find the exact position of an emergency van (ex. Ambulance, Fire exchange) and remote users get the information transmitted using global position system which also provides traffic signal track monitoring system i.e., during object motion IR sensors detect the ambulance, pass the message to main controller which reflects the LED bulb to glow leading to closing of all the signals track, and immediately the emergent vehicle pass the signal track. The main principle of this scheme is to plan an emergent tracking method. The proposed system is implemented based on real time embedded system for this implementation we used ATMEG328P controller which is the heart of the system. The IR sensor is used to sense the data which is processed by the controller and sent the data to emergent tracking system through GPS.