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Modeling-error robustness of a viral-load preconditioning strategy for HIV treatment switching

Rutao Luo, Michael J Piovoso, Ryan Zurakowski
2010 American Control Conference (ACC)  
To account for hidden parameter dependencies, we use parameter distributions obtained from the convergence of Bayesian parameter estimation techniques applied to sets of clinical data obtained during serial  ...  therapy interruptions as the distribution from which the Monte-Carlo method samples.  ...  The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute Of Allergy And Infectious Diseases or the National Institutes of  ... 
pmid:24954972 pmcid:PMC4061758 fatcat:vmtmvxfxijfylorgedgkzdo2nu

Predicting the path of a changing sound: Velocity tracking and auditory continuity

Poppy A. C. Crum, Ervin R. Hafter
2008 Journal of the Acoustical Society of America  
Experiments 1 and 2 use a modified probe-signal method to measure attentional filters and demonstrate increased detection to sounds falling along implied paths of constant-linear velocity.  ...  Further, results show greater accuracy and decreased bias in the use of velocity information with increased exposure to a constant-velocity sound.  ...  Each file of parameter estimates was then randomly divided into two groups.  ... 
doi:10.1121/1.2945117 pmid:18681601 pmcid:PMC2809678 fatcat:ipggeldno5felgrd3u3jb6i774

Modeling-error robustness of a viral-load preconditioning strategy for HIV treatment switching

Rutao Luo, Michael J Piovoso, Ryan Zurakowski
2010 Proceedings of the 2010 American Control Conference  
To account for hidden parameter dependencies, we use parameter distributions obtained from the convergence of Bayesian parameter estimation techniques applied to sets of clinical data obtained during serial  ...  therapy interruptions as the distribution from which the Monte-Carlo method samples.  ...  To test the robustness of our method, we randomly sampled with replacement from the database of parameter values.  ... 
doi:10.1109/acc.2010.5530483 fatcat:escytqwrqjendlay2mjlh74ney

Inference of gene regulatory networks from genome-wide knockout fitness data

L. Wang, X. Wang, A. P. Arkin, M. S. Samoilov
2012 Bioinformatics  
A statespace model with non-linear basis is used for dynamically describing gene regulatory networks. Network structure is then elucidated by estimating unknown model parameters.  ...  Unlike most prior methods, the presented approach captures not only structural, but also dynamical and non-linear nature of biomolecular systems involved.  ...  We would also like to thank the anonymous reviewers for useful comments and helpful suggestions that have offered much help in improving this article. Conflict of Interest: none declared.  ... 
doi:10.1093/bioinformatics/bts634 pmid:23271269 pmcid:PMC3562072 fatcat:bapulf5imvdtli5bczixwvrkke

Design characteristics and statistical methods used in interrupted time series studies evaluating public health interventions: protocol for a review

Simon L Turner, Amalia Karahalios, Andrew B Forbes, Monica Taljaard, Jeremy M Grimshaw, Allen C Cheng, Lisa Bero, Joanne E McKenzie
2019 BMJ Open  
From eligible studies, we will extract study characteristics, details of the statistical models and estimation methods, effect metrics and parameter estimates.  ...  IntroductionAn interrupted time series (ITS) design is an important observational design used to examine the effects of an intervention or exposure.  ...  Contributors JEM conceived the study and all authors contributed to its design. SLT wrote the first draft of the manuscript, with contributions from JEM and AK.  ... 
doi:10.1136/bmjopen-2018-024096 pmid:30696676 pmcid:PMC6352832 fatcat:ooyljdv5nfflpibsdur7iygycq

Parameter Identification and State-of-Charge Estimation for Li-Ion Batteries Using an Improved Tree Seed Algorithm

Weijie CHEN, Ming CAI, Xiaojun TAN, Bo WEI
2019 IEICE transactions on information and systems  
To achieve better estimation result, an accurate battery model with optimum parameters is required.  ...  . key words: parameter identification, optimizing algorithm, tree seed algorithm, differential evolution, swarm intelligence  ...  In this paper, the parameter identification method based on an improved tree seed algorithm (TSA) is proposed and used for joint estimation with system states.  ... 
doi:10.1587/transinf.2019edp7015 fatcat:ehs4vqziyrdwrgbufcqn22dud4

Validation of a system for monitoring feeding behavior in beef cattle1

E. D. M. Mendes, G. E. Carstens, L. O. Tedeschi, W. E. Pinchak, T. H. Friend
2011 Journal of Animal Science  
Observed bunk visit (BV) and meal event data (frequency and duration) were compared with electronic feeding behavior data generated by the GrowSafe system at 5 parameter settings (MPS; 30, 60, 100, 150  ...  Video data were regressed on the electronic feeding behavior data to obtain an estimate of precision (r 2 ) and other statistical estimates, including mean square error of prediction and concordance correlation  ...  The number of BV per meal estimated by the electronic system was also compared with observed values.  ... 
doi:10.2527/jas.2010-3489 pmid:21512115 fatcat:l2vtg665izf5pprhvgmcjqiuxu

On-line system identification in real time using a minicomputer

N.K. Sinha, M.Y. Tang
1977 Mathematics and Computers in Simulation  
Astrom and Bohiin [2] suggested that a system is identifiable if th~ estimates of its parameters a~e consistent.  ...  It is the process of obtaining the characteristic parameters of a system by artlf~cially exciting the system with some specially selected signals.  ...  IF tlO,WAI T AND .WORD 0 85 05356 000~00 PONTR: .WORD '0 "  ... 
doi:10.1016/0378-4754(77)90003-9 fatcat:wa7vespxqvd55mh5pggt5nskyy

Observer-Side Parameter Estimation For Adaptive Control [article]

Jason Nezvadovitz
2017 arXiv   pre-print
The simplest way to reconcile this is to let the observer produce both state estimates and model parameter estimates, so that all probabilistic information is shared within the framework of the observer  ...  In this thesis, we will investigate observer-side parameter estimation for adaptive control by precisely juxtaposing its mechanics against the current, widely accepted adaptive control designs.  ...  , and can even be exponentially estimated by a linear observer.  ... 
arXiv:1711.09154v1 fatcat:a5lercti65awva2fii6yivxj5e

Iterative Online Fault Identification Scheme for High-Voltage Circuit Breaker Utilizing a Lost Data Repair Technique

Gang Zhou, Zhongjie Han, Jin Fu, Guan Hua Xu, Chengjin Ye
2020 Energies  
These low-cost channels are often interrupted by strong electromagnetic interference and result in monitoring anomalies, particularly packet loss, which severely affects the precision of equipment fault  ...  Loop iterations are implemented where the nearest neighbors are updated until their labels are consistent with the estimated labels of the repaired sample based on them.  ...  With the randomly set i a and i b , the output matrix H can be determined uniquely; consequently, the approximated parameters i a , i b , and δ can be acquired by: ( ) ( ) * * * * 1 1 1 1 , , , , , min  ... 
doi:10.3390/en13133311 fatcat:6hvqfwyykffhng7yd2w5bxip5u

Anisotropic strain rate effects on the fibre?matrix interface decohesion in sheet moulding compound composites

2005 Composites Science And Technology  
The composite material consists in a sheet moulding compound (SMC-R26: weight content of 26%) with randomly oriented reinforcement.  ...  microscope observations.  ...  This analysis is based on the interrupted tensile test results and was conducted in order to estimate the macroscopic stiffness reduction (D macro ).  ... 
doi:10.1016/j.compscitech.2004.09.027 fatcat:jsha2yhpmregdaikn3c4a5ek5q

Voltage Quality Time Series Classification using Convolutional Neural Network [article]

Sagnik Basumallik
2019 arXiv   pre-print
This work uses the advances in supervised learning to classify different power quality time-series waveforms such as voltage sag, swell, interruption, harmonics, transients and flicker.  ...  These problems arise mainly due to increase in use of non-linear loads, operation of devices like adjustable speed drives and power factor correction capacitors, which is a growing concern both for utilities  ...  A timely identification and cause of such disturbances can help system operators take necessary actions to prevent device malfunctions.  ... 
arXiv:1904.00228v1 fatcat:ymhooly7kjhwvbyp3kdwuxg6au

Automatic Identification of Change Points for the System Testing Process

Joao Cangussu, Michael Baron
2006 30th Annual International Computer Software and Applications Conference (COMPSAC'06)  
The application of the CDM Model has proven to be effective and accurate. The piecewise approximation used relies on the proper identification of re-calibration points.  ...  In this paper we present a new technique for the automatic identification of change points which increases the applicability and accuracy of the CDM Model.  ...  Along with the model in Eq. 4, an algorithm, based on system identification techniques [13] , has been developed to calibrate the parameters of the model [6] .  ... 
doi:10.1109/compsac.2006.31 dblp:conf/compsac/CangussuB06 fatcat:v6wlyax4lvccfhukuuxd6aiu3i

A Method for Sustaining Consistent Sensory–Motor Coordination under Body Property Changes Including Tool Grasp/Release

Cota Nabeshima, Yasuo Kuniyoshi
2010 Advanced Robotics  
This adaptation is achieved when a robot sustains its coordination between sensation and body motion; i.e. observation and identification of the discrepancy between its knowledge and actually obtained  ...  For the sustainability, the robot should autonomously judge the reliability and the tolerance of the identification.  ...  The other method is to estimate the allowable error, which can be a threshold to switch between observation and identification.  ... 
doi:10.1163/016918610x493543 fatcat:w5cg3kqjh5cj3hqezmmmavcns4

System Identification From Multiple Short-Time-Duration Signals

S.R. Anderson, P. Dean, V. Kadirkamanathan, C.R.S. Kaneko, J. Porrill
2007 IEEE Transactions on Biomedical Engineering  
An identification algorithm is presented here for parameter estimation based on minimising the simulated prediction error, across multiple signals.  ...  The approach is applied to the identification of the passive oculomotor plant; parameters are estimated that describe the dynamics of the plant, which represent the time constants of the visco-elastic  ...  INTRODUCTION A common approach to system identification is to assume that the model structure corresponds to an auto-regressive with exogenous inputs (ARX) description, for which parameters are estimated  ... 
doi:10.1109/tbme.2007.896593 pmid:18075036 fatcat:etlyzelnejck7lu662rievcfxu
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