Automatic tuning is one of key technologies in high performance computing, where parallel processing is essential. In this paper, we propose some methods of parallel experimental design for online automatic tuning of parallel programs. In parallel processing, two kinds of tuning should be investigated. One is local tuning, which optimizes local tuning parameters on each processor, and the other...

This paper deals with the tuning of fractional PID controllers, in which the orders of the integral and derivative parts, λ and μ, respectively, are fractional. The purpose is to take advantage of the introduction of these two parameters and fulfil additional specifications of design. A new method for tuning the fractional PID controller is proposed in this paper. The basic ideas of this new tu...

We develop an objective, noninvasive method for determining the frequency selectivity of cochlear tuning at low and moderate sound levels. Applicable in humans at frequencies of 1 kHz and above, the method is based on the measurement of stimulus-frequency otoacoustic emissions and, unlike previous noninvasive physiological methods, does not depend on the frequency selectivity of masking or supp...

In this paper, tuning of COST-231 Hata prediction method has been carried out based on experiments at 2.3 GHz using WiMAX transmissions conducted in western India. Fine tuning of the model is carried out using large number of measurement records to increase the accuracy of the prediction. The parameters of this model are tuned based on a linear iterative tuning method. The path loss predictions...

We demonstrate a two-directional tuning method of distributed feedback (DFB) film dye laser devices to achieve high quality lasing and a large tuning range. In this work, we proposed a simple method to fabricate a continuous tunable solid-state dye laser on a flexible Polydimethylsiloxane (PDMS) film. In order to obtain stable and tunable output lasing, the stretching property of the gelatine h...

Two methods of realizing aperiodic stochastic resonance (ASR) by adding noise and tuning system parameters in a bistable system, after a scale transformation, can be compared in a real parameter space. In this space, the resonance point of ASR via adding noise denotes the extremum of a line segment, whereas the method of tuning system parameters presents the extrema of a parameter plane. We dem...

Recently, polymerase chain reaction-based estimates of visual pigment spectral tuning from genomic DNA have offered an alternative to the authoritative but rather slow and complicated retinal microspectrophotometry method. The genomic DNA method involves sequencing a fragment of the short-wavelength sensitive pigment, type 1 (SWS1) opsin gene covering amino acid positions 86, 90, and 93 and has...

An alternative approach for intelligent tuning of a control loop will be presented in this paper. The objective is to design an algorithm which will tune the controller employing a neuro-fuzzy based algorithm. Structure and design method based on this approach will be explored, which include an adaptive network employed as building block, the backpropagation gradient method and least square est...

In this paper, we consider the tuning of statistical machine translation (SMT) models employing a large number of features. We argue that existing tuning methods for these models suffer serious sparsity problems, in which features appearing in the tuning data may not appear in the testing data and thus those features may be over tuned in the tuning data. As a result, we face an over-fitting pro...

A frequency domain procedure is proposed for the automatic tuning of proportional integral derivative (PID) controllers. The nonparametric open-loop frequency response function is estimated on-line (in closed loop), and simple discriminatory parameters are obtained, which enable appropriate tuning of the controller. For processes with some prior knowledge of the dynamics, the method removes the...