Browsing by Author "Manish, E.S."

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Design and Development of a BCI Framework to Control a UTM Using EEG Headset
(Springer Science and Business Media Deutschland GmbH, 2024) Manish, E.S.; Pratheesh; Umesh, P.; Gangadharan, K.V.
We live in a period where machines have become a fundamental piece of our day-to-day existence. These machines that surround us largely depend on human assistance. To operate them, a human would nearly have to be functional. We only lose the capacity to engage with machines when these capabilities are hindered, possibly by a bodily condition or injury. This study picks the Universal Testing Machine as the machine to be operated to help physically challenged people run machinery. Additionally, it uses an Internet of Things architecture to monitor specific brain activities in the personâ€™s brain, while controlling the machine. Â© 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Development of a LoRaWAN-Enabled Unmanned Aerial System for Autonomous Real-Time Surveillance and Monitoring
(American Society of Mechanical Engineers (ASME), 2023) Manish, E.S.; Umesh, P.; Gangadharan, K.V.; Shetty, D.
This research paper proposes a LoRaWAN-enabled Unmanned Aerial System (UAS) for autonomous real-time surveillance and monitoring for agriculture fields. Traditional security measures in agriculture face challenges due to their high costs and labor-intensive nature, especially on large farms. The paper outlines the development of the complete system, explaining each block that forms its components. Additionally, it presents an experiment where a UAS successfully flew to a specific location triggered by motion sensors connected to LoRa nodes as part of surveillance and monitoring of an area. The results demonstrate the system's effectiveness in real-time monitoring and autonomous operation. By leveraging LoRaWAN technology, this system offers a promising solution to enhance agricultural security and efficiency. The integration of technologies showcased in this research contributes to the field of precision agriculture. Â© Â© 2023 by ASME.
Development of Portable Tethered Vertical Profiler for Underwater Monitoring
(Institute of Electrical and Electronics Engineers Inc., 2023) Sequeira, S.L.; Manish, E.S.; Rakshith; Umesh, P.; Gangadharan, K.V.
Human activities and industrial waste flow to water bodies will contaminate the coastal areas, leading to changes in the underwater ecosystem and affecting aquatic habitats. Understanding these ecosystems requires quick data collection, systematic process monitoring, and coastal resource preservation through proper decision-making. We can understand the variation of water properties with depth by deploying sensors from the surface, one of the most popular methods of gathering ocean data. However, high-resolution oceanographic data collection and long-term human observations are risky and expensive. Although some autonomous profiling systems address these issues, there is still scope for developing practical, affordable, and accurate data-providing systems. This paper discusses an open-source, economical, easily portable, propeller-driven underwater Vertical Profiler controlled by a joystick located in Ground Control System (GCS) using a Neutrally buoyant tether cable. Data from sensors, like temperature, pressure, and depth, are collected. The paper also discusses functionality and sensor tests conducted on the developed vehicle at a controlled environment/test site. The developed Profiler can perform basic manoeuvres and collect water quality data upstream of vented dams and rivers in and around the Dakshina Kannada district of Karnataka, India. Â© 2023 IEEE.