We report experiments on thermally driven convection in an inclined layer of large aspect ratio in a fluid of Prandtl number sigma approximately 1. We observed a number of new nonlinear, mostly spatiotemporally chaotic, states. At small angles of inclination we found longitudinal rolls, subharmonic oscillations, Busse oscillations, undulation chaos, and crawling rolls. At larger angles, in the ...

The drill & blast method is still the most typical method for medium to hard rock conditions. It can be applied to a wide range of rock conditions. Some of its features include versatile equipment, fast start-up and relatively low capital cost tied to the equipment. On the other hand, the cyclic nature of the drill & blast method requires good work site organization. Blast vibrations and noise ...

We consider the question of the stability of evolutionary algorithms to gradual changes,or drift, in the target concept. We define an algorithm to be resistant to drift if, forsome inverse polynomial drift rate in the target function, it converges to accuracy 1 − ǫwith polynomial resources, and then stays within that accuracy indefinitely, except withprobability ǫ at any one tim...

COMMENTARY. For the article ‘‘The drifting human genome,’’ by Jianzhi Zhang, which appeared in issue 51, December 18, 2007, of Proc Natl Acad Sci USA (104:20147–20148; first published December 10, 2007; 10.1073 pnas.0710524105), the authors note that, due to a printer’s error, the DOI appeared incorrectly. The DOI 10.1073/pnas.0710524105 should have appeared as 10.1073/ pnas.0710524104. The onl...

Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an extended period of time, the learning task can be complicated by changes in the distribution underlying the data. This problem is known in machine learning as concept drift. The main idea behind Statistical Quality Cont...

Difference control schemes for controlling unstable fixed points become important if the exact position of the fixed point is unavailable or moving due to drifting parameters. We propose a memory difference control method for stabilization of a priori unknown unstable fixed points by introducing a memory term. If the amplitude of the control applied in the previous time step is added to the pre...

This paper presents an algorithm to remove the DC drift from B-H curve of additively manufactured soft ferromagnetic material. The removal magnetization is crucial for accurate estimation iron losses. based on sliding mean value subtraction each cycle calculated magnetic flux density (B) signal. values (SMVs) are using convolution theorem, where a kernel with length equal size one convolved B r...

Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages and applications. One of the applications of digital image processing is for traffic analysis. In literature survey it is found that traffic analysis can be done by Background Subtraction, b...

We have detected the rare phenomenon of stable, drifting sub-pulse behaviour in two pulsars discovered in the recent Swinburne intermediate latitude pulsar survey. The pulsars; PSR J1231–47 and PSR J1919+0134, have approximate periods (P ) of 1.873 and 1.6039 seconds respectively. Both pulsars have multi-component profiles, and distinct drifting is observed across them. We have identified a sin...

The aim of the search for extraterrestrial intelligence (SETI) is to find technologically-capable life beyond Earth through their technosignatures. On 2019 April 29, Breakthrough Listen SETI project observed Proxima Centauri with Parkes 'Murriyang' radio telescope. These data contained a narrowband signal characteristics broadly consistent technosignature near 982 MHz ('blc1'). Here we present ...