IMU Institutional Digital Repository
Welcome to the Institutional Digital Repository of IMU. The Central Library of IMU maintains this repository and provides metadata and full-text files of all the IMU Publications. The repository aims to preserve and disseminate access to IMU publications, including Articles, Working Papers, Books, Book Chapters, Project Reports, and more authored by Faculty, Experts, Research Scholars, and Students enrolled in IMU. For access to the repository or any clarifications, do not hesitate to get in touch with the Central Library at:repository@imu.ac.in
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Recent Submissions
Accessing the causality among air transportation, trade openness and GDP: Evidence from a panel of high-income countries
(Transport Policy | Elsevier, 2025-01-07) T. Bangar Raju
Over the last few decades, the contribution of efficient civil aviation has been recognized comprehensively to promote and sustain economic growth (Brugnoli et al., 2018). Air transportation can accelerate economic development through prompt access to world market, easing economic integration, and allowing effective global supply chains between nations. The dual effect of efficient air transportation can also be defined in terms of its ability to transport traded goods in quick time along with facilitating mobility of labour between countries. Apart from that, airfreight plays an important role in timely delivery of parcels, medical equipment, and other necessary goods across the globe. Airdrops are one of the efficient responses of relief organisations to humanitarian crisis (Zhang and Graham, 2020). In the geographical areas, which are adhered to weak ground and water transportation, air traffic routes are signified to as lifelines for the said regions (˙Ilarslan et al., 2018). Further, the improved air transportation creates a positive dual impact on the economy through its expenditure and transportation effects (Ozcan, ¨ 2014). The expenditure effects occur from construction
and operation of airports which generate employment and enhance purchasing capacity of the economy. The transportation effects arise from reduction in transportation costs due to decreased travel time, enhanced reliability and safety that will lead to decrease in production cost and stimulate investment in the economy (Taylor and Samples, 2002). The report of Air Transport Action Group (ATAG) shows that around 65.5 million jobs and 3.6 percent of global economic activity are supported by the aviation industry. Therefore, efficient civil aviation not only supports the economic development in a country but also provides an advantage during emergencies caused due to natural disasters, war, and famine.
Neural Network Participation to Enhance Hydrogen-Biofuel CI Engine Performance and Combat Emissions
(International Conference on Cyber Intelligence and Information Retrieval | Springer, 2024-07-19) Atanu Roy
To efficiently run, combat emissions, and predictive maintenance of the compression ignition engine (CIE), artificial intelligence participation plays a vital function. In this study, a one-cylinder CIE was outfitted with blended fuel (hydrogen, biofuel, and water) to combat emissions and enhance engine running efficiency. Simulink was used to collect data, which was then preprocessed and analyzed to predict emission characteristics of CIEs using deep reinforcement learning (DRL) and artificial neural networks (ANN). This paper presents a hybrid model. In this study, mean square error (MSE), R2, and accuracy are evaluated to show how well the prediction model worked to improve CIEs' running characteristics and fuel types. The proposed method is promising to enhance engine performance and combat emissions. Additionally, the model was found to have a low MSE, indicating that it can make accurate predictions for engine running characteristics and fuel types.
A Novel Approach for Underwater Object Detection through Deep Intense-Net for Ocean Conservation Systems
(IEEE OCEANS 2022, 2022-05-19) R. Bhuvaneswari; T. Surya; T. Srikanth; Rajoo Balaji
Underwater imaging is a robust tool for hydrographic analysis investigating aqua life possibilities and various research activities. An underwater environment is a unique environment, with frequently varying luminance and objects that differ in appearance compared with the above-water environment. Considering a few challenges, the proposed system is focused on deriving an optimum prediction model, which would differentiate and animate non-animated bodies, which include garbage, debris, etc. The model system uses the Stacked-CNN architecture, which has been optimized and forms a Deep Intense-Net which is customized with a particular focus on underwater objects. In this, the input images are labeled and converted into train images with back annotated bounding boxed features. Image samples of living organisms and non-living things in an underwater environment have been captured. The dataset is formed by
combining a few real-time Google images with the brackish dataset. Among these, 75% of the images were used for the training process and the rest 25% was utilized for the testing or validation process. If a new input is forwarded to
the network, it will map the features of the input image with the trained underwater images and give its output. These mapped features are combined to create a robust feature box that ensures the prediction quality. The model is being
simulated on the MATLAB 2017 platform and the quantitative measures are done based on true positive rate, true negative rate, false-positive rate, and false-negative rate to provide relevant accuracy.
Issues in offshore platform research - Part 1: Semi-submersibles
(International Journal of Naval Architecture and Ocean Engineering | Elsevier, 2010-09) S. C. Misra
Availability of economic and efficient energy resources is crucial to a nation’s development. Because of their low cost and advancement in drilling and exploration technologies, oil and gas based energy systems are the most widely used
energy source throughout the world. The inexpensive oil and gas based energy systems are used for everything, i.e., from transportation of goods and people to the harvesting of crops for food. As the energy demand continues to rise, there is strong need for inexpensive energy solutions. An offshore platform is a large structure that is used to house workers and machinery needed to drill wells in the ocean bed, extract oil and/or natural gas, process the produced fluids, and ship or pipe them to shore. Depending on the circumstances, the offshore platform can be fixed (to the ocean floor) or can consist of an artificial island or can float. Semi-submersibles are used for various purposes in offshore and marine engineering, e.g. crane vessels, drilling vessels, tourist vessels, production platforms and accommodation facilities, etc. The challenges of deepwater drilling have further motivated the researchers to design optimum choices for semi-submersibles for a chosen operating depth. In our series of eight papers, we discuss the design and production aspects of all the types of offshore platforms. In the present part I, we present an introduction and critical analysis of semi-submersibles.
Advanced Python-Based Simulation Framework for Maritime Collision Prevention: Integrating Computational Physics and Interactive Game Design
(Journal of Maritime Research, 2025-03-25) Manivannan M; Gokulanathan A; Sridevi Devasena G; Srividhya S
In this research work we presents a full Python-based simulation framework for the prevention of maritime Collision Prevention through the incorporation of advanced computational techniques. Along with interactive game design principles. The current study explores that the novel approaches to deal with its significant challenges in the maritime domain through a complex 2D ship Collision Prevention simulation. It uses the cutting-edge technologies. Such as Pygame, advanced mathematical modeling, and object-oriented programming. In order to establish a novel methodology in the analysis and mitigation of collision risks in maritime environments. Complex physical interactions are introduced in this simulation framework using algorithms for the purpose of real-time collision detection and dynamic visualization to simulate ship movement. The Ship class has a robust implementation and the advanced mechanisms of the collision responses. A realistic maritime interaction dynamics model in particular the event-driven architecture of a game and completes the package. The study throws light on the possibility of enhancing maritime safety through paython based simulation computational methods. Further it focusing on the important balance between technological innovation and human expertise. It will open new avenues for future research in maritime safety as well in root optimization . Especially artificial intelligence , interactive computational modeling by providing a flexible and extensible platform for collision avoidance analysis.