  This project introduces a groundbreaking approach to address the challenge of
periodic signal compression. By proposing a novel adaptive coding method,
coupled with hardware-assisted data compression, we have developed a new
architecture model tailored for efficient data compression. The selected
compression scheme has demonstrated remarkable results, showcasing reduced
memory communication volume and power consumption in the cache memory path of
benchmark systems. With a reduction range of 4.2% to 35.2%, this innovation
paves the way for affordable smart sensing, monitoring, diagnostics, and
protection in emerging low-cost device types. Consequently, this cutting-edge
technology enhances electrical signal compression and contributes to grid
improvement. Additionally, we explore the novel application of harnessing
wasted thermal energy in the Read-Only Memory (ROM) using thermoelectricity
(TE). This approach captures the excess thermal energy, converting it into
electrical energy through optimized supercapacitor charging, resulting in
efficient energy utilization. This innovation intersects the fields of embedded
systems, data compression, energy efficiency, and smart grid technology.
