This paper describes a self-tuning architecture that dynamically adjusts the frequency of the processor to run at the highest speed it can sustain without causing errors. This frequency is determined through dynamic verification, an online error checking technique that uses a second, simpler processor to redundantly execute instructions, detecting both design errors and transient faults.

We show that a self-tuning mechanism of the cosmological constant could work in 5D non-compact space-time. The standard model matter fields live only on the 4D brane. The change of vacuum energy on the brane just gives rise to dynamical shifts of the profiles of the background metric and a bulk scalar field in the extra dimension, keeping 4D space-time flat. To obtain the Newtonian potential on...

Adaptive influence-coefficient methods have proven successful at controlling unbalance-induced vibration of rotating machinery without requiring a priori knowledge of machine dynamics. If initial influence estimates are inaccurate, however, vibration may become worse temporarily before the estimation converges. An auto-tuning method is presented here that adjusts adaptive “gain” parameters duri...

Observers deteeted unidireetional motion of isotropie dot patterns following exposure to (1) broadband noise eontaining all direetions of motion, or (2)noise from whieh eertain sets of direetion had been filtered. The amount of masking varied with the set of directions filtered from the noise, yielding broad directional tuning functions. The breadth of an observers's tuning funetion corresponde...

An accurate control of fundamental frequency is one of the essential demands in professional singing. This control relies on auditory and kinesthetic feedback. However, a loud accompaniment may mask the auditory feedback, leaving the singers to rely on kinesthetic feedback. The object of the present study was to estimate the significance of auditory and kinesthetic feedback to pitch control in ...

The influence of the noises uncertainty on the Kalman filter performance is characterized by sensitivity functions. Relationships for computing these functions are derived and used both for synthesizing a Kalman filter with reduced sensitivity (KFRS) and a self-tuning Kalman filter (SKF). The results are illustrated by examples.

We find more self-tuning solutions by introducing a general form for Lagrangian of a 3-index antisymmetric tensor field AMNP in the RS II model. In particular, for the logarithmic Lagrangian, ∝ log(−H2), we obtained a closed form weak self-tuning solution.

This paper provides an empirical test of a hypothesis, which describes the effects of structural mechanisms in genetic programming. In doing so, the paper offers a test problem anticipated by this hypothesis. The problem is tunably difficult, but has this property because tuning is accomplished through changes in structure. Content is not involved in tuning. The results support a prediction of ...

Model-reference adaptive control with neurofuzzy methodology is derived in this paper. Associate memory network(AMN) is investigated in detail to be the possible implementation as the direct self-tuning nonlinear controller. The essence of the neurofuzzy controller has been discussed and the local stability of the system is reached. The performance of the model-reference adaptive neurofuzzy con...

ENG) We study the wave equation for a string with stiffness. We solve the equation and provide a uniqueness theorem with suitable boundary conditions. For a pinned string we compute the spectrum, which is slightly inharmonic. Therefore, the widespread scale of 12 equal divisions of the just octave is not the best choice to tune instruments like the piano. Basing on the theory of dissonance, we ...