Sensor networks are fundamentally constrained by the difficulty and energy expense of
delivering information from sensors to sink. Our work has focused on garnering additional …

Compression of an electrocardiogram (ECG) signal has given much consideration to the
researchers since the computer-aided analysis of ECG has come into being. In some critical …

The devices that interconnected to the Internet of Things (IoT) will continue to grow
exponentially, and in addition, the amount of data that they report. Sensor nodes (SNs) that …

Embedded systems are constrained by the available memory. Code-compression
techniques address this issue by reducing the code size of application programs. It is a …

Motivated by the challenges of scaling up memory capacity and fully exploiting the benefits
of memory compression, we propose Buri, a hardware-based memory compression scheme …

A spike (event) based sound coding technique has been presented in this study where the
spikes are similar to the spikes exhibited by type 1 fibers of the auditory nerve. This lossy …

Embedded systems are constrained by the available memory. Code compression
techniques address this issue by reducing the code size of application programs. Dictionary …

Code density is of increasing concern in embedded system design since it reduces the need
for the scarce resource memory and also implicitly improves further important design …

We present a new framework for metadata visualisation systems called VisMeB (visual
metadata browser). It is based upon redesign ideas from the IN-SYDER system that were …

Reducing a program's instruction count can improve cache behavior and bandwidth
utilization, lower power consumption, and increase overall performance. Nonetheless, code …