15 citations · 32 across the 20 of their papers we have counts for
8 papers · 1 filter
Probabilistic Value-Deviation-Bounded Source-Dependent Bit-Level Channel Adaptation for Approximate Communication
Bilgesu Arif Bilgin, Phillip Stanley-Marbell
Computing systems that can tolerate effects of errors in their communicated data values can trade this tolerance for improved resource efficiency. Many important applications of co…
Content-Aware Automated Parameter Tuning for Approximate Color Transforms
Chatura Samarakoon, Gehan Amaratunga, Phillip Stanley-Marbell
There are numerous approximate color transforms reported in the literature that aim to reduce display power consumption by imperceptibly changing the color content of displayed ima…
Inferring Human Observer Spectral Sensitivities from Video Game Data
Chatura Samarakoon, Gehan Amaratunga, Phillip Stanley-Marbell
With the use of primaries which have increasingly narrow bandwidths in modern displays, observer metameric breakdown is becoming a significant factor. This can lead to discrepancie…
Automated Physics-Derived Code Generation for Sensor Fusion and State Estimation
Orestis Kaparounakis, Vasileios Tsoutsouras, Dimitrios Soudris +1
We present a new method for automatically generating the implementation of state-estimation algorithms from a machine-readable specification of the physics of a sensing system and…
A System for Generating Non-Uniform Random Variates using Graphene Field-Effect Transistors
Nathaniel Joseph Tye, James Timothy Meech, Bilgesu Arif Bilgin +1
We introduce a new method for hardware non-uniform random number generation based on the transfer characteristics of graphene field-effect transistors (GFETs) which requires as few…
Synthesizing Compact Hardware for Accelerating Inference from Physical Signals in Sensors
Vasileios Tsoutsouras, Max Vigdorchik, Phillip Stanley-Marbell
We present dimensional circuit synthesis, a new method for generating digital logic circuits that improve the efficiency of training and inference of machine learning models from s…
Payload-Mass-Aware Trajectory Planning on Multi-User Autonomous Unmanned Aerial Vehicles
Vasileios Tsoutsouras, Joseph Story, Phillip Stanley-Marbell
Future unmanned aerial vehicles (drones) will be shared by multiple users and will have to operate in conditions where their fully-autonomous function is required. Calculation of a…
Efficient Programmable Random Variate Generation Accelerator from Sensor Noise
James Timothy Meech, Phillip Stanley-Marbell
We introduce a method for non-uniform random number generation based on sampling a physical process in a controlled environment. We demonstrate one proof-of-concept implementation…