Faculty Publications

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    Li-Fi for Secured Access to Wireless Network During Online Examination in Classrooms
    (Springer Science and Business Media Deutschland GmbH, 2024) Salvi, S.; Apune, S.; Gutte, V.; Gawade, M.; Kolkar, R.
    The traditional conduction of examinations needs to use physical copies of question paper and answer sheets, which are then evaluated by the evaluators. However, in a post-pandemic era, where the emphasis is more on the minimal usage of physically transferable materials, safe conduction of examinations in the classroom environments becomes challenging. Conduction of examination in complete online mode requires wireless access to the Wi-Fi access points; however, as the range of the Wi-Fi access point goes beyond the classrooms, there is the possibility of accessing the network from outside classroom which is not desired. With an aim to address these issues, in this paper a novel approach for providing dynamically changing passwords using visible light communication is designed, implemented and tested for connecting to the wireless network. The setup is useful in the environment where restricted physical access is needed to ensure system and network security. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
  • Item
    A Nested Texture Inspired Novel Image Pattern Based Optical Camera Communication
    (Institute of Electrical and Electronics Engineers Inc., 2022) Salvi, S.; Geetha, V.
    Pattern recognition is a vital component of display-based optical camera communication. However, as the distance between the transmitter LED panel and the receiver camera increases, the visibility of the pattern reduces. Decoding each pattern requires extensive computational resources. This paper proposes a nested texture-inspired novel binary hierarchical image pattern classification-based modulation for optical camera communication to provide efficient pattern classification and achieve longer communication distance. Custom 8× 8 patterns are generated at the transmitter based on input data using nested outer and inner patterns. On the receiver side, multi-threaded pattern matching is performed simultaneously for inner and outer patterns for faster decoding. A simulator is built to test the performance of linear search and two variants of binary search for pattern matching. A hardware prototype and Matlab app are designed to perform experiments to test the performance of the proposed technique in a real-world environment. Experiments were conducted to select optimal camera parameter values for the best signal to noise ratio (SNR) and to analyze the impact of pattern intensity profile on decoding at various distances. The proposed pattern communication technique showcased 48.6% and 42.5% improvement in bit error ratio (BER) compared to Data Matrix and QR Code Pattern-based communication techniques, respectively. © 2013 IEEE.