Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Author: search.filters.author.Prakash, A.

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    Data synchronization on Android clients
    (Institute of Electrical and Electronics Engineers Inc., 2015) Kedia, A.; Prakash, A.
    Past decade has witnessed meteoric advances in the field of mobile computing owing to the development of affordable hardware technologies as well as user-friendly software platforms. Android, the platform marketed by Google has boomed in sales over the past few years making it one of the major mobile platforms in the market. The steady growth of wireless information and communication technology in convergence with rise in the penetration of Internet has led to the evolution of a wide range of mobile applications like news, multi-player games, social networking, messaging, etc. that need to access remote data. For the optimal functioning of all these applications an efficient synchronization mechanism is vital. However smart-phones have limited computational resources, power restrictions and intermittent Internet connections which pose a challenge for smooth synchronization. This paper proposes a two-way data synchronization mechanism between multiple Android clients and a central server to address these challenges. We employ a batching logic to ensure efficient data transfer in poor network environments and a server-side conflict resolution mechanism to reduce overhead on the clients, which ensures optimal processing and battery power consumption by the clients. © 2015 IEEE.
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    Kinect Based Real Time Gesture Recognition Tool for Air Marshallers and Traffic Policemen
    (Institute of Electrical and Electronics Engineers Inc., 2017) Prakash, A.; Swathi, R.; Kumar, S.; Ashwin, T.S.; Guddeti, G.R.M.
    The Microsoft Kinect which is a motion sensing input device presents a very straightforward and affordable approach to facilitate real-time user interaction. Although a lot of research has been conducted on the application of Kinect to gaming and virtual reality environments, its relevance to real-world scenarios has not been explored much. The features provided by the driver platforms such as OpenNI and Microsoft Kinect Software Development Kit (SDK) for development using Kinect coupled with the motion sensing ability of Kinect, presents a unique opportunity for extending the scope of the Kinect sensor. This paper proposes a system for automatically recognizing the road traffic control gestures of police officers and air marshalling commands by ground personnels. This system is aimed for selflearning, training and testing these officers to equip them with the skills to tackle real-world situations. Since these applications are very crucial and performing accurate gestures are of at most importance, this system will prove to be very essential. Experimental results also demonstrate that our system is robust and effective and is suitable for real-time application. © 2016 IEEE.
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    Optimizing Split Algorithm Performance: A Heuristic Method for Enhanced Tensor Product Matrix Computations
    (Institute of Electrical and Electronics Engineers Inc., 2024) Bhowmik, B.; Kumar, S.; Raju, S.R.; Prakash, A.; Mense, O.
    Optimizing tensor product matrix computations is critical for enhancing computational efficiency in high-performance applications. Traditional algorithms, like the Split algorithm, often struggle due to the unique properties of each matrix involved. This paper presents a novel heuristic method that optimizes the selection of cutting points and matrix ar-rangement, significantly reducing redundant calculations and minimizing memory usage. The proposed approach adapts to the varying characteristics of tensor products, improving performance across different computational scenarios. Enhancing floating-point operation efficiency and CPU utilization delivers substantial speed and efficiency gains, particularly in large-scale tensor product matrix operations, offering a robust solution for complex computational tasks. © 2024 IEEE.
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    Forecasting COVID-19 Transmission Patterns with Hidden Markov Model
    (Institute of Electrical and Electronics Engineers Inc., 2024) Prakash, A.; Tomar, K.; Poptani, P.; Kumar, P.; Das, M.; Mohan, B.R.
    Global health and healthcare system have faced major hurdles as a result of coronavirus. Pandemic still had impacts on community in every part of the world even with the efforts made to curb the disease transmission. We have sought to address some of these issues by utilising data sourced from JHU's CSSE [1]. This article concentrated on U.S. COVID-19 statistics concerning the number of infections and deaths in major towns. Only the relevant infection rates, death rates, and time columns were left in the pre-processing dataset. The above finding proves that the pandemic is evolving and began as a low rate of infections and deaths which increase with every passing moment. Secondly, we look at how death rates correlates with the highest infection rate. In an attempt to improve the forecast of COVID-19 spread for health care, manufacturers, economies and academic institutions this research is developed. © 2024 IEEE.