Publications related to Reduction of the MSE in R-times oversampled A/D conversion from O(1/R) to O(1/R^2)

Scan-specific artifact reduction in k-space (SPARK) neural networks synergize with physics-based reconstruction to accelerate MRI

Purpose: To develop a scan-specific model that estimates and corrects k-space errors made when reconstructing accelerated MRI data. Methods: Scan-specific artifact reduction in k-space (SPARK) trains a convolutional-neural-network to estimate and correct k ...

WILEY2021

Physics-informed machine learning for reduced-order modeling of nonlinear problems

Qian Wang, Jan Sickmann Hesthaven

A physics-informed machine learning framework is developed for the reduced-order modeling of parametrized steady-state partial differential equations (PDEs). During the offline stage, a reduced basis is extracted from a collection of high-fidelity solution ...

2020

Force Characterization Of Meso-Scale Haptic Devices

Jamie Paik, Sagar Dattatray Joshi, Frédéric Henri Vaskin Giraud

Recent advances with haptic devices have shown great potential in physically simulating contact with an object. In meso-scale (1 to 10 cm) haptic devices, although the actuation level can be controlled, their small form-factor makes it difficult to measure ...

2019

Mitigating Slow Dynamics of Low-Cost Chemical Sensors for Mobile Air Quality Monitoring Sensor Networks

Alcherio Martinoli, Ali Marjovi, Adrian Arfire

The last decade has seen a growing interest in air quality monitoring using networks of wireless low-cost sensor platforms. One of the unifying characteristics of chemical sensors typically used in real-world deployments is their slow response time. While ...

2016

A meshless method to simulate interactions between large soft tissue and a surgical grasper

Elahe Abdi

Realistic simulation of tool-tissue interactions can help to develop more effective surgical training systems and simulators. This study uses a finite element and meshless modeling approach to simulate the grasping procedure of a large intra-abdominal orga ...

Elsevier Science Bv2016

Bits from Photons

Feng Yang

The trends in the design of image sensors are to build sensors with low noise, high sensitivity, high dynamic range, and small pixel size. How can we benefit from pixels with small size and high sensitivity? In this dissertation, we study a new image senso ...

EPFL2012

An application of Evolutionary Optimization Algorithms for Determining Concentration and Velocity Profiles in Sheet flows and Overlying Layers

David Andrew Barry, Roham Bakhtyar

The Particle Swarm Optimization (PSO) method and the Genetic Algorithm (GA) were used to derive formulas for determining the velocity and concentration profiles in sheet flows. Specifically, these evolutionary optimization algorithms were used in conjuncti ...

Asme-Amer Soc Mechanical Eng2012

Hierarchical wavelet modelling of environmental sensor data

Anthony Christopher Davison, Yann Ruffieux

Motivated by the need to smooth and to summarize multiple simultaneous time series arising from networks of environmental monitors, we propose a hierarchical wavelet model for which estimation of hyperparameters can be performed by marginal maximum likelih ...

2011

A tight bound on the performance of a minimal-delay joint source-channel coding scheme

Bixio Rimoldi, Marius Kleiner

An analog source is to be transmitted across a Gaussian channel in more than one channel use per source symbol. This paper derives a lower bound on the asymptotic mean squared error for a strategy that consists of repeatedly quantizing the source, transmit ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Subthreshold Current-Mode Delta-Sigma Quantizer with 3-Decade Scalable Sampling Rate and pico-Ampere Range Resolution

Seyed Armin Tajalli, Yusuf Leblebici

A current-mode

\Delta\Sigma

analog-to-digital data converter (ADC) for biomedical readout front-end systems is being presented. The core of this circuit is a current-controlled ring oscillator (CCO) whose oscillation frequency is proportional to the inpu ...

2010

Reduction of the MSE in R-times oversampled A/D conversion from O(1/R) to O(1/R^2)

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Scan-specific artifact reduction in k-space (SPARK) neural networks synergize with physics-based reconstruction to accelerate MRI

Physics-informed machine learning for reduced-order modeling of nonlinear problems

Force Characterization Of Meso-Scale Haptic Devices

Mitigating Slow Dynamics of Low-Cost Chemical Sensors for Mobile Air Quality Monitoring Sensor Networks

A meshless method to simulate interactions between large soft tissue and a surgical grasper

Bits from Photons

An application of Evolutionary Optimization Algorithms for Determining Concentration and Velocity Profiles in Sheet flows and Overlying Layers

Hierarchical wavelet modelling of environmental sensor data

A tight bound on the performance of a minimal-delay joint source-channel coding scheme

Subthreshold Current-Mode Delta-Sigma Quantizer with 3-Decade Scalable Sampling Rate and pico-Ampere Range Resolution

Physics-informed machine learning for reduced-order modeling of nonlinear problems

Scan-specific artifact reduction in k-space (SPARK) neural networks synergize with physics-based reconstruction to accelerate MRI

Force Characterization Of Meso-Scale Haptic Devices

A meshless method to simulate interactions between large soft tissue and a surgical grasper

Bits from Photons

A tight bound on the performance of a minimal-delay joint source-channel coding scheme

Subthreshold Current-Mode Delta-Sigma Quantizer with 3-Decade Scalable Sampling Rate and pico-Ampere Range Resolution

An application of Evolutionary Optimization Algorithms for Determining Concentration and Velocity Profiles in Sheet flows and Overlying Layers

Mitigating Slow Dynamics of Low-Cost Chemical Sensors for Mobile Air Quality Monitoring Sensor Networks

Hierarchical wavelet modelling of environmental sensor data