Optimal Viewpoint Assistance for Cooperative Manipulation Using D-Optimality [PDF]
SensorsThis study proposes a D-optimality-based viewpoint selection method to improve visual assistance for a manipulator by optimizing camera placement. The approach maximizes the information gained from visual observations, reducing uncertainty in object ...
Kyosuke Kameyama +2 more
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Temporal Data Set Reduction Based on D-Optimality for Quantitative FLIM-FRET Imaging. [PDF]
PLoS ONE, 2015 Fluorescence lifetime imaging (FLIM) when paired with Förster resonance energy transfer (FLIM-FRET) enables the monitoring of nanoscale interactions in living biological samples.
Travis Omer, Xavier Intes, Juergen Hahn
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A weighted D-optimality criterion for constructing model-robust designs in the presence of block effects [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2020 It is generally known that blocking can reduce unexplained variation, and in response surface designs block sizes can be pre-specified. This paper proposes a novel way of weighting D-optimality criteria obtained from all possible models to construct ...
Peang-or Yeesa +2 more
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Effect of Objective Function on Data-Driven Greedy Sparse Sensor Optimization
IEEE Access, 2021 The problem of selecting an optimal set of sensors estimating a high-dimensional data is considered. Objective functions based on D-, A-, and E-optimality criteria of optimal design are adopted to greedy methods, that maximize the determinant, minimize ...
Kumi Nakai +4 more
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Journal of Statistical Software, 2020 We describe the R package acebayes and demonstrate its use to find Bayesian optimal experimental designs. A decision-theoretic approach is adopted, with the optimal design maximizing an expected utility.
Antony M. Overstall +2 more
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Optimal Geometries for AOA Localization in the Bayesian Sense
Sensors, 2022 This paper considers the optimal sensor placement problem for angle-of-arrival (AOA) target localization in the 2D plane with a Gaussian prior. Optimal sensor locations are analytically determined for a single AOA sensor using the D- and A-optimality ...
Kutluyil Dogancay
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Using Machine Learning for Quantum Annealing Accuracy Prediction
Algorithms, 2021 Quantum annealers, such as the device built by D-Wave Systems, Inc., offer a way to compute solutions of NP-hard problems that can be expressed in Ising or quadratic unconstrained binary optimization (QUBO) form.
Aaron Barbosa +3 more
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Being Uncertain in Chromatographic Calibration—Some Unobvious Details in Experimental Design
Molecules, 2021 This is an introductory tutorial and review about the uncertainty problem in chromatographic calibration. It emphasizes some unobvious, but important details influencing errors in the calibration curve estimation, uncertainty in prediction, as well as ...
Łukasz Komsta +2 more
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Optimal Geometry Analysis for Target Localization With Bayesian Priors
IEEE Access, 2021 Relative sensor-target geometry is well known to significantly affect the performance of target localization using a sensor network. This article analyzes the optimal sensor-target geometries for the problem of target localization with Bayesian priors ...
Ngoc Hung Nguyen
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Experimental Designs for Binary Data in Switching Measurements on Superconducting Josephson Junctions [PDF]
, 2006 We study the optimal design of switching measurements of small Josephson junction circuits which operate in the macroscopic quantum tunnelling regime. Starting from the D-optimality criterion we derive the optimal design for the estimation of the unknown
Abdelbasit K. M. +16 more
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