S
Stojan Denic
Researcher at Toshiba
Publications - 39
Citations - 1190
Stojan Denic is an academic researcher from Toshiba. The author has contributed to research in topics: Channel capacity & Communication channel. The author has an hindex of 11, co-authored 39 publications receiving 1121 citations. Previous affiliations of Stojan Denic include University of Arizona & University of Ottawa.
Papers
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Proceedings ArticleDOI
Privacy for Smart Meters: Towards Undetectable Appliance Load Signatures
TL;DR: It is suggested that home electrical power routing can be used to moderate the home's load signature in order to hide appliance usage information and set the ground for further research on the subject of optimising home energy management with regards to hiding load signatures.
Journal ArticleDOI
Penetration of the Stigma and Style Elicits a Novel Transcriptome in Pollen Tubes, Pointing to Genes Critical for Growth in a Pistil
Yuan Qin,Alexander R. Leydon,Ann Manziello,Ritu Pandey,David W. Mount,Stojan Denic,Bane Vasic,Mark A. Johnson,Ravishankar Palanivelu +8 more
TL;DR: Using microarray analysis in Arabidopsis, it is shown that pollen tubes that have grown through stigma and style tissues of a pistil have a distinct gene expression profile and express a substantially larger fraction of theArabidopsis genome than pollen grains or pollen tubes grown in vitro.
Journal ArticleDOI
LDPC-Coded MIMO Optical Communication Over the Atmospheric Turbulence Channel
TL;DR: The simulations show that the LDPC-coded MIMO schemes can operate under a strong atmospheric turbulence and at the same time provide excellent coding gains compared with the transmission of uncoded data.
Journal ArticleDOI
ElecPrivacy: Evaluating the Privacy Protection of Electricity Management Algorithms
TL;DR: This paper introduces a power mixing algorithm to selectively protect a set of consumption events, and develops a range of different privacy protection metrics, and evaluates the protection offered by different power mixing algorithms.
Journal ArticleDOI
Information Theoretic Limits for Free-Space Optical Channels With and Without Memory
TL;DR: It is shown that the knowledge of CSI both at the transmitter and the receiver increases the achievable rates for low- to-moderate Signal-to-Noise Ratios (SNRs) in comparison to the cases for which the CSI is known only at the receiver, and that a simple channel inversion technique suffices.