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- W2752808439 abstract "The objective of this paper is to estimate if an electrical appliance is 'ON' based on their common mode electromagnetic (CM EMI) emissions. The assumption being that, a user by knowing the state of the appliance can make an informed decision whether to keep it running or switch it off to save power. Here, state estimation of a single appliance is formulated as a classification problem. A new technique called analysis dictionary learning is proposed to generate features from CM EMI. The proposed method outperforms feature extraction based on deep learning techniques as well as a state-of-the-art information theoretic feature extraction technique based on Conditional Likelihood Maximization." @default.
- W2752808439 created "2017-09-15" @default.
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- W2752808439 date "2017-03-09" @default.
- W2752808439 modified "2023-10-01" @default.
- W2752808439 title "Supervised Analysis Dictionary Learning" @default.
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- W2752808439 doi "https://doi.org/10.1145/3041823.3041825" @default.
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