Multichannel random signal generation in optical fiber-based ring laser with quantum-dot semiconductor optical amplifier

Random signal generation in a ring resonator laser is achieved with quantum-dot semiconductor optical amplifiers. The lasing spectra were obtained over a wide range of wavelength, and the individual longitudinal modes acted as the channels for random number generation.

Co-dependency of exchanged behaviors is a cue for agency attribution in 10-month-olds

Goal-directed social interactions (whether instrumental or communicative) involve co-dependent, partially predictable actions of interacting agents as social goals cannot be achieved by continuously exchanging the same, perfectly predictable, or completely random behaviors. We investigated whether 10-month-olds are sensitive to the co-dependence and degree of predictability in an interactive context where unfamiliar entities exchanged either perfectly predictable (identical), partially predictable (co-dependent), or non-predictable (random) signal sequences. We found that when—following the interactive exchanges—one of the entities turned in the direction of one of two lateral target objects, infants looked more at the indicated referent, but only in the partially predictable signals condition. This shows that infants attributed agency to the orienting entity and interpreted its turning action as a referential object-directed action. The present findings suggest that the co-dependency and partial predictability of exchanged behaviors can serve as an abstract structural cue to attribute intentional agency and recognize goal-directed social interactions.

A random signal generator by using analog electronics

The describing function theory is a powerful mathematical tool to predict oscillations in non-linear dynamical systems. This theory is here invoked to design a random signal generator and realized by using analog electronic elements. Then, and according to experimental results, histograms of the resultant signal are shown along with the generated signal in the time domain. Finally, the proposed electronic circuit is simple and cheap to construct.

EEG Activity During Mental Influence on a Random Signal Generator

This preliminary study is based on 38 experimental sittings in which 22 participants attempted to mentally influence an electronic circuit called RSG (Random Signal Generator), while their cerebral activity was recorded by a 14-channel EEG. Subject to sampling, signal peaks with an absolute value greater than a predetermined threshold were selected from the analogical RSG output by a computer program. Whenever a signal exceeded the threshold, an audible ‘beep’ sounded and the participant was asked to mentally increase the frequency of these beeps as much as possible, because a higher beep rate meant a successful mental influence attempt on the RSG. An important objective was to verify the existence of any relationship between a successful mental influence of the RSG and cerebral activity in the participant attempting the influence. Compared to an equal number of ‘inactive’ sittings made without anyone attempting mental action, the ‘active’ sittings show a small increase in the average number of beeps/minute, but in particular a significant increase in the emitted beeps within 1.5 seconds of the previous beep (P <0.025). The experimental sittings were divided into two groups (around 50% each), of which the first had better results, and only the frontal and fronto-temporal symmetrical EEG locations (AF3, AF4, F7, F8, F3, F4, Fc5, Fc6) were examined. The better group showed a significant reduction in Brain Synchrony (P < 0.03) together with an equally significant increase in Beta and Gamma 15-42 Hz (P < 0.03) activity. These differences were interpreted as an effect of greater mental work performed by the better group during mental influence of the RSG. This is the first study to investigate the relationship between EEG activity and mind-matter (PK) interaction at a distance; indeed all studies devoted to PK have only focused attention on the object of attempted mental action, which was predominantly an RNG (Random Number Generator).

Impulse Processing Algorithm for Random Source Signals of Roadheaders That Is Based on Compound Interferometry

The boom-type roadheader is the main equipment for realizing the mechanization of coal drifting in coal mines, and it is an indispensable production equipment in major coal-producing countries. Substantial vibrations are generated during the operation of a roadheader; these vibrations carry substantial energy and, thus, can be regarded as a potential source and used for seismic advance detection purposes in mine drifts. Compared with a conventional exploration source, a roadheader source produces a complex continuous random signal. The shape of a seismic wavelet is uncertain and its duration is relatively long; thus, it must be processed into a conventional pulse signal before it can be used for subsequent processing and analysis. Therefore, based on the advantages of seismic interferometry in random signal processing, two seismic interference techniques, namely, deconvolution and cross-correlation, are introduced for constructing a compound interference algorithm. On the basis of a theoretically derived formula, a random signal impulse processing experiment is conducted using field-acquired source signals from a roadheader; this approach resolves the problem that cross-correlation alone cannot yield ideal results. Hence, a feasible algorithm for the impulse processing of a random signal, namely, the compound interference algorithm, is proposed. The algorithm deconvolves each seismic trace to obtain the reference trace and other receiver traces after compressing the wavelet. Then, the reference trace and each receiver trace are cross-correlated, and the wavelet time delay information of each correlated wavelet pulse, namely, the wavelet time delay information of the receiver trace relative to the reference trace, is obtained. Accordingly, the direct wave and reflected waves are recognized. To evaluate the performance of the algorithm, an algorithm application experiment is conducted for another group of random source signals that were collected by a roadheader under different coal drift conditions. Again, the algorithm processing results are consistent with the single-shot record characteristics of an explosive source. Consequently, the proposed algorithm can satisfy the requirements for engineering exploration and analysis. A comprehensive analysis further demonstrates that the compound interference algorithm is both feasible and effective and that the processed seismic signals can be used for subsequent processing and interpretation.