A
Amit Singh
Researcher at National Institute of Technology, Patna
Publications - 773
Citations - 18812
Amit Singh is an academic researcher from National Institute of Technology, Patna. The author has contributed to research in topics: Digital watermarking & Medicine. The author has an hindex of 57, co-authored 640 publications receiving 13795 citations. Previous affiliations of Amit Singh include Ithaca College & Center for Infectious Disease Research and Policy.
Papers
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Journal ArticleDOI
Confused-Modulo-Projection-Based Somewhat Homomorphic Encryption—Cryptosystem, Library, and Applications on Secure Smart Cities
TL;DR: A single-server version of somewhat homomorphic encryption cryptosystem based on confused modulo projection theorem named CMP-SWHE is proposed, which allows the server to complete blind data processing without seeing the effective information of user data.
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An adaptive energy aware DTN-based communication layer for cyber-physical systems
TL;DR: In this article , the authors proposed an adaptive energy-aware DTN-based communication layer for cyber-physical systems (CPS) based on a delay tolerant network in the proposed model, which allows energy savings by managing the wake-up period at regular intervals while keeping the node inactive for the rest of the time.
Patent
Complex of amorphous empagliflozin and a cyclodextrin
Ramakoteswara Rao Jetti,Aggi Ramireddy Bommareddy,Amit Singh,Vijaya Krishna Ravi,Subramanyam Dandala +4 more
TL;DR: The present disclosure relates to solid dispersion of a complex of amorphous empagliflozin and cyclodextrin and was made in this paper, where it was shown to be a cyclo-cyclo-decomposition.
Journal ArticleDOI
Increasing renewable energy penetration in harmonically polluted distribution grids using passive filtering: a comparative assessment of common filter types
Mohit Bajaj,Amit Singh +1 more
Journal ArticleDOI
Bring your own hand: how a single sensor is bringing multiple biometrics together
TL;DR: The score-level weighted sum rule fusion has been adopted to combine matching scores of four traits which show that the proposed method outperforms other unimodal and state-of-the-art multimodal identification methods in terms of EER, DI, DI and CRR.