scholarly journals Optics-less smart sensors and a possible mechanism of cutaneous vision in nature

Open Physics ◽  
2010 ◽  
Vol 8 (3) ◽  
Author(s):  
Leonid Yaroslavsky ◽  
Chad Goerzen ◽  
Stanislav Umansky ◽  
H. Caulfield
Keyword(s):  
Parameter Estimation ◽  
Numerical Simulations ◽  
Statistical Parameter ◽  
Radiation Detectors ◽  
Estimation Theory ◽  
Curved Surface ◽  
Smart Sensors ◽  
Working Principle ◽  
Living Organisms ◽  
Shed Light

AbstractAlthough optics-less cutaneous (“skin”) vision is not uncommon among living organisms, its mechanisms and capabilities have not been thoroughly investigated. This paper demonstrates, using methods from statistical parameter estimation theory and numerical simulations, that arrays of bare radiation detectors arranged on a planar or curved surface have the ability to perform imaging tasks without any optics at all. The working principle of this type of optics-less sensors and the model developed here for determining their performance may be used to shed light on possible mechanisms, capabilities and evolution of cutaneous vision in nature.

scholarly journals A Stochastic Harmonic Oscillator Temperature Model for the Valuation of Weather Derivatives

Mathematics ◽  
2021 ◽  
Vol 9 (22) ◽  
pp. 2890
Author(s):  
Alessio Giorgini ◽  
Rogemar S. Mamon ◽  
Marianito R. Rodrigo
Keyword(s):  
Sensitivity Analysis ◽  
Parameter Estimation ◽  
Harmonic Oscillator ◽  
Numerical Simulations ◽  
Model Parameters ◽  
Call Option ◽  
Temperature Model ◽  
Option Prices ◽  
Harmonic Oscillator Model ◽  
Temperature Dynamics

Stochastic processes are employed in this paper to capture the evolution of daily mean temperatures, with the goal of pricing temperature-based weather options. A stochastic harmonic oscillator model is proposed for the temperature dynamics and results of numerical simulations and parameter estimation are presented. The temperature model is used to price a one-month call option and a sensitivity analysis is undertaken to examine how call option prices are affected when the model parameters are varied.

Statistical Parameter Estimation for Observation Error Modelling: Application to Meteor Radars

2021 ◽  
pp. 185-213
Author(s):  
Elizabeth A. Satterfield ◽  
Joanne A. Waller ◽  
David D. Kuhl ◽  
Dan Hodyss ◽  
Karl W. Hoppel ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Statistical Parameter ◽  
Observation Error ◽  
Modelling Application ◽  
Statistical Parameter Estimation

scholarly journals Outlier Detection for Minor Compositional Variations in Taxonomic Abundance Data

2019 ◽  
Vol 9 (7) ◽  
pp. 1355
Author(s):  
Koji Ishiya ◽  
Sachiyo Aburatani
Keyword(s):  
Microbial Communities ◽  
Natural Environments ◽  
Human Gut ◽  
Short Term ◽  
Computational Framework ◽  
Dietary Changes ◽  
Compositional Changes ◽  
Compositional Variations ◽  
Living Organisms ◽  
Shed Light

To understand the activities of complex microbial communities in various natural environments and living organisms, we need to capture the compositional changes in their taxonomic abundance. Here, we propose a new computational framework to detect compositional changes in microorganisms, including minor bacteria. This framework is designed to statistically assess relative variations in taxonomic abundance. By using this approach, we detected compositional changes in the human gut microbiome that might be associated with short-term human dietary changes. Our approach can shed light on the compositional changes of minor microorganisms that are easily overlooked.

Model Verification of Mixed Dynamic Systems

1978 ◽  
Vol 100 (2) ◽  
pp. 266-273 ◽  
Author(s):  
J. D. Chrostowski ◽  
D. A. Evensen ◽  
T. K. Hasselman
Keyword(s):  
Experimental Data ◽  
Parameter Estimation ◽  
Dynamic Systems ◽  
Statistical Parameter ◽  
Model Verification ◽  
Passive Networks ◽  
Parameter Values ◽  
Basic Configuration ◽  
General Method

A general method is presented for using experimental data to verify math models of “mixed” dynamic systems. The term “mixed” is used to suggest applicability to combined systems which may include interactive mechanical, hydraulic, electrical, and conceivably other types of components. Automatic matrix generating procedures are employed to facilitate the modeling of passive networks (e.g., hydraulic, electrical). These procedures are augmented by direct matrix input which can be used to complement the network model. The problem of model verification is treated in two parts; verification of the basic configuration of the model and determination of the parameter values associated with that configuration are addressed sequentially. Statistical parameter estimation is employed to identify selected parameter values, recognizing varying degrees of uncertainty with regard to both experimental data and analytical results. An example problem, involving a coupled hydraulic-mechanical system, is included to demonstrate application of the method.

scholarly journals The Challenge of Detecting Intracluster Filaments with Faraday Rotation

Galaxies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 128 ◽  
Author(s):  
Nicola Locatelli ◽  
Franco Vazza ◽  
Paola Domínguez-Fernández
Keyword(s):  
Numerical Simulations ◽  
Galaxy Clusters ◽  
Faraday Rotation ◽  
Large Fraction ◽  
Surrounding Environment ◽  
Shed Light ◽  
Rotation Signal

The detection of filaments in the cosmic web will be crucial to distinguish between the possible magnetogenesis scenarios, and future large polarization surveys will be able to shed light on their magnetization level. In this work, we use numerical simulations of galaxy clusters to investigate their possible detection. We compute the Faraday Rotation signal in intracluster filaments and compare it to its surrounding environment. We find that the expected big improvement in sensitivity with the SKA-MID will in principle allow the detection of a large fraction of filaments surrounding galaxy clusters. However, the contamination of the intrinsic Faraday Rotation of background polarized sources will represent a big limiter to the number of objects that can be significantly detected. We discuss possible strategies to minimize this effect and increase the chances of detection of the cosmic web with the large statistics expected from future surveys.

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