3 papers
eess.SY2020
Runtime Adaptation in Wireless Sensor Nodes Using Structured Learning
Adrian Sapio, Shuvra S. Bhattacharyya, Marilyn Wolf
Markov Decision Processes (MDPs) provide important capabilities for facilitating the dynamic adaptation and self-optimization of cyber physical systems at runtime. In recent years,…
cs.SE2020
Research Challenges for Heterogeneous CPS Design
Shuvra S. Bhattacharyya, Marilyn C. Wolf
Heterogeneous computing is widely used at all levels of computing from data center to edge due to its power/performance characteristics. However, heterogeneity presents challenges.…
eess.SP2017
Reconfigurable Digital Channelizer Design Using Factored Markov Decision Processes
A. Sapio, L. Li, J. Wu +2
In this work, a novel digital channelizer design is developed through the use of a compact, system-level modeling approach. The model efficiently captures key properties of a digit…