In this paper, we proposed a high-voltage serial-in-parallel-out (SIPO) shift register based on amorphous silicon thin-film transistors (a-Si TFTs). We provided detailed introduction of the bootstrap inverter, key component register, and presented simulation analysis one-stage five-stage SIPO registers, respectively. Then fabricated registers employing a-Si TFTs. Both results experimental show ...

Radiographic testing is a well-established non-destructive testing method to detect subsurface welding defects. In this paper, an automatic computer-aided identification system was implemented to recognize different types of welding defects in radiographic images. Imageprocessing techniques such as background subtraction and histogram thresholding were implemented to separate defects from the b...

Program MARK provides a number of sophisticated analyses beyond just providing parameter estimates and their estimated conditional measures of precision. Advanced features include graphs of parameter estimates from 1 or more models, models constructed with the design matrix to estimate the mean of a set of real parameters, quasi-likelihood procedures to correct for overdispersion of the data, m...

In this paper, an agent-based evolutionary computing technique is introduced, that is geared towards the automatic induction and optimization of grammars for natural language (grael). We outline three instantiations of the grael-environment: thegrael-1 system uses large annotated corpora to bootstrap grammatical structure in a society of autonomous agents, that tries to optimally redistribute g...

Bootstrap is an empirical non-parametric statistical technique based on data resampling that has been used to quantify uncertainties of diffusion tensor MRI (DTI) parameters, useful in tractography and in assessing DTI methods. The current bootstrap method (repetition bootstrap) used for DTI analysis performs resampling within the data sharing common diffusion gradients, requiring multiple acqu...

In this paper, we develop tools for statistical inference on replicated realizations of spatiotemporal processes that are locally time-harmonizable. Our method estimates both the rescaled spatial time-varying Loève-spectrum and dual-frequency coherence function under realistic modeling assumptions. We construct confidence intervals these parameters interest using Circular Block Bootstrap prove ...

In this talk, I present some theoretical and empirical properties of the uniform and biased-bootstrap for generalized method of moments (GMM) models. The version of the biased-bootstrap used in this paper is a form of weighted bootstrap with weights chosen to satisfy some constraints imposed by the model. A typical biased-bootstrap resample is obtained by resampling from a member within a pseud...

The bootstrap technology introduced by [1] has wide applications, particularly, in regression analysis. It has been used by researchers to construct empirical distributions for estimates of the regression coefficients. In case of outliers in the data, the classical bootstrap procedure fails to give us fine results even if robust regression estimates are used. In this paper we introduced a new b...

This report reviews several bootstrap methods with special emphasis on small sample properties. Only those bootstrap methods are covered which promise wide applicability. The small sample properties can be investigated analytically only in parametric bootstrap applications. Thus there is a strong emphasis on the latter although the bootstrap methods can be applied nonparametrically as well. The...