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Found 8 papers, 1 papers with code
Machine Learning for Sensor Transducer Conversion Routines
Sensors with digital outputs require software conversion routines to transform the unitless analogue-to-digital converter samples to physical quantities with correct units.
An Algorithm for Sensor Data Uncertainty Quantification
This article presents an algorithm for reducing measurement uncertainty of one physical quantity when given oversampled measurements of two physical quantities with correlated noise.
Probabilistic Value-Deviation-Bounded Source-Dependent Bit-Level Channel Adaptation for Approximate Communication
We provide an efficient-to-compute formulation for the distribution of integer distortion accounting for the distribution of transmitted values.
Inferring Human Observer Spectral Sensitivities from Video Game Data
We present a mathematical framework for calculating spectral sensitivities of a given human observer using a color matching experiment that could be done on a mobile phone display.
A System for Generating Non-Uniform Random Variates using Graphene Field-Effect Transistors
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 as two transistors and a resistor (or transimpedance amplifier).
Efficient Programmable Random Variate Generation Accelerator from Sensor Noise
We introduce a method for non-uniform random number generation based on sampling a physical process in a controlled environment.
A Hardware Platform for Efficient Multi-Modal Sensing with Adaptive Approximation
We present Warp, a hardware platform to support research in approximate computing, sensor energy optimization, and energy-scavenged systems.
Applied Physics Hardware Architecture Emerging Technologies Robotics Instrumentation and Detectors
Incremental Color Quantization for Color-Vision-Deficient Observers Using Mobile Gaming Data
We introduce DaltonQuant, a new color quantization technique for image compression that cloud services can apply to images destined for a specific user with known color vision deficiencies.
