Running Speed Estimation Using Shoe-Worn Inertial Sensors: Direct Integration, Linear, and Personalized Model
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LTCC (Low-Temperature Cofired Ceramic) has attracted considerable interest as a material for sensors and microfluidic circuits, for which dimensional accuracy is essential. The irregular shrinkage behaviour of LTCC tapes must be taken into account when des ...
The International Global H-mode Threshold Database has been revised and cleaned from inadequate data for some tokamaks. This significantly reduces the scatter for the corresponding datasets. The resulting new analyses including all ten tokamaks yields resu ...
The analysis of an observed univariate time series is often undertaken in order to get a prediction of a future event. With this purpose one can fix a class of predictors from which the optimal one will be identified and estimated. The more simple and comm ...
In this paper the perturbation influence properties of the stochastic model (variance-covariance) in linear models is discussed in detail. Some very useful formulae are established about the variance-covariance perturbation influence on the model parameter ...
The DINA nonlinear time-dependent simulation code has been validated against an extensive set of plasma equilibrium response experiments carried out on the TCV tokamak. Limited and diverted plasmas are found to be well modelled during the plasma current fl ...
This paper reports and fully characterizes a coulometric nanotitrator and its application for four different types of titrations: precipitation, complex-formation, redox and acid-base nanotitrations. This simple device, composed of Pt or Ag planar electrod ...
To identify the distinctive vibratory characteristics of erosive cavitation an investigation program was conducted in the IMHEF High Speed Cavitation Tunnel on a NACA 009 stainlcs~: steel profile equipped with 7 DECER electrochemical cavitation erosion det ...
International Association For Hydraulic Research1990
Deals with the problem of worst-case parameter estimation in the presence of bounded uncertainties in a linear regression model. The problem has been formulated and solved in Chandrasekaran et al. (1997). It distinguishes itself from other estimation schem ...