10 citations · 18 across the 4 of their papers we have counts for
4 papers
Not all those who drift are lost: Drift correction and calibration scheduling for the IoT
Aaron Hurst, Andrey V. Kalinichev, Klaus Koren +1
Sensors provide a vital source of data that link digital systems with the physical world. However, as sensors age, the relationship between what they measure and what they output c…
PairwiseHist: Fast, Accurate and Space-Efficient Approximate Query Processing with Data Compression
Aaron Hurst, Daniel E. Lucani, Qi Zhang
Exponential growth in data collection is creating significant challenges for data storage and analytics latency.Approximate Query Processing (AQP) has long been touted as a solutio…
GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT
Aaron Hurst, Daniel E. Lucani, Qi Zhang
Exponential growth in the amount of data generated by the Internet of Things currently pose significant challenges for data communication, storage and analytics and leads to high c…
Reconfigurable magnetic domain wall pinning at the nano-scale using vortex-generated magnetic fields
Aaron C. H. Hurst, Joshua A. Izaac, Fouzia Altaf +2
We demonstrate that the stray magnetic field generated beneath magnetic vortex cores can be used to generate nano-scale, localized pinning sites for magnetic domain walls in an und…