40,162 research outputs found
Principles of Antifragile Software
The goal of this paper is to study and define the concept of "antifragile
software". For this, I start from Taleb's statement that antifragile systems
love errors, and discuss whether traditional software dependability fits into
this class. The answer is somewhat negative, although adaptive fault tolerance
is antifragile: the system learns something when an error happens, and always
imrpoves. Automatic runtime bug fixing is changing the code in response to
errors, fault injection in production means injecting errors in business
critical software. I claim that both correspond to antifragility. Finally, I
hypothesize that antifragile development processes are better at producing
antifragile software systems.Comment: see https://refuses.github.io
Dynamical epidemic suppression using stochastic prediction and control
We consider the effects of noise on a model of epidemic outbreaks, where the
outbreaks appear. randomly. Using a constructive transition approach that
predicts large outbreaks, prior to their occurrence, we derive an adaptive
control. scheme that prevents large outbreaks from occurring. The theory
inapplicable to a wide range of stochastic processes with underlying
deterministic structure.Comment: 14 pages, 6 figure
Recommendations and illustrations for the evaluation of photonic random number generators
The never-ending quest to improve the security of digital information
combined with recent improvements in hardware technology has caused the field
of random number generation to undergo a fundamental shift from relying solely
on pseudo-random algorithms to employing optical entropy sources. Despite these
significant advances on the hardware side, commonly used statistical measures
and evaluation practices remain ill-suited to understand or quantify the
optical entropy that underlies physical random number generation. We review the
state of the art in the evaluation of optical random number generation and
recommend a new paradigm: quantifying entropy generation and understanding the
physical limits of the optical sources of randomness. In order to do this, we
advocate for the separation of the physical entropy source from deterministic
post-processing in the evaluation of random number generators and for the
explicit consideration of the impact of the measurement and digitization
process on the rate of entropy production. We present the Cohen-Procaccia
estimate of the entropy rate as one way to do this. In order
to provide an illustration of our recommendations, we apply the Cohen-Procaccia
estimate as well as the entropy estimates from the new NIST draft standards for
physical random number generators to evaluate and compare three common optical
entropy sources: single photon time-of-arrival detection, chaotic lasers, and
amplified spontaneous emission
Nonlinear dynamics of a regenerative cutting process
We examine the regenerative cutting process by using a single degree of
freedom non-smooth model with a friction component and a time delay term.
Instead of the standard Lyapunov exponent calculations, we propose a
statistical 0-1 test analysis for chaos detection. This approach reveals the
nature of the cutting process signaling regular or chaotic dynamics. For the
investigated deterministic model we are able to show a transition from chaotic
to regular motion with increasing cutting speed. For two values of time delay
showing the different response the results have been confirmed by the means of
the spectral density and the multiscaled entropy
- …