Xiao Sheng

TL;DR: This paper pioneers a converter-less PV power system with the maximum power point tracking that directly supplies power to the load without the power converters or the energy storage element and achieves an 87.1% of overall system efficiency during a day.

TL;DR: With the proposed vector selection algorithm, the PaCC architecture can outperform other vector selection approaches by over 59% in terms of reduction in the number of NV registers, which leads to up to 30% processor area saving.

TL;DR: This work proposes a long term deadline-aware scheduling algorithm with energy migration strategies for distributed super capacitors for solar-powered sensor nodes with energy storages that reduces the deadline miss rates and brings less than 3% of the total energy consumption.

TL;DR: A segment-based parallel compression (SPaC) architecture to achieve tradeoffs between area and backup speed and an off-line and online hybrid method to balance the workloads of different compression modules in SPaC is provided.

TL;DR: This work introduces a unified energy-oriented approach to first optimize the number of backups, by more aggressively using the stored energy available when power failure occurs, and then optimize forward progress via improving the rate of input energy to computation via dynamic voltage and frequency scaling and self-learning techniques.