650 research outputs found
microPhantom: Playing microRTS under uncertainty and chaos
This competition paper presents microPhantom, a bot playing microRTS and
participating in the 2020 microRTS AI competition. microPhantom is based on our
previous bot POAdaptive which won the partially observable track of the 2018
and 2019 microRTS AI competitions. In this paper, we focus on decision-making
under uncertainty, by tackling the Unit Production Problem with a method based
on a combination of Constraint Programming and decision theory. We show that
using our method to decide which units to train improves significantly the win
rate against the second-best microRTS bot from the partially observable track.
We also show that our method is resilient in chaotic environments, with a very
small loss of efficiency only. To allow replicability and to facilitate further
research, the source code of microPhantom is available, as well as the
Constraint Programming toolkit it uses
Numerical investigation of acoustic solitons
Acoustic solitons can be obtained by considering the propagation of large
amplitude sound waves across a set of Helmholtz resonators. The model proposed
by Sugimoto and his coauthors has been validated experimentally in previous
works. Here we examine some of its theoretical properties: low-frequency
regime, balance of energy, stability. We propose also numerical experiments
illustrating typical features of solitary waves
Discovering Data-Driven Solutions: A Practical Guide for Small Businesses Implementing Data Analytics
In today’s highly competitive business environment, small businesses are under growing pressure to fight for market share. To do this, a competitive advantage must be established to outperform other business competitors both big and small. One way that small businesses can create a competitive advantage is by utilizing their data and applying basic data analytics. Data analytics is the process of collecting and analyzing large sets of raw data using statistical tests to identify patterns and insights to make conclusions that inform business decisions. The use of data analytics is not exclusive to large corporations and can be greatly beneficial to small businesses. Small businesses can gain valuable insights into market trends, customer demographics, purchasing behaviors, internal operations, performance monitoring, and more. Data analytics allows small businesses to harness the capability to create solutions for various business needs at all levels ranging from high-level management decisions down to daily in-store operations. In this paper, I will explore the benefits of implementing data analytics for small businesses and examples of how and where it can be used
Laser Doppler Velocimetry for Joint Measurements of Acoustic and Mean Flow Velocities : LMS-based Algorithm and CRB Calculation
This paper presents a least mean square (LMS) algorithm for the joint
estimation of acoustic and mean flow velocities from laser doppler velocimetry
(LDV) measurements. The usual algorithms used for measuring with LDV purely
acoustic velocity or mean flow velocity may not be used when the acoustic field
is disturbed by a mean flow component. The LMS-based algorithm allows accurate
estimations of both acoustic and mean flow velocities. The Cram\'er-Rao bound
(CRB) of the associated problem is determined. The variance of the estimators
of both acoustic and mean flow velocities is also given. Simulation results of
this algorithm are compared with the CRB and the comparison leads to validate
this estimator
Non-Hermitian Acoustic Metamaterials: the role of Exceptional Points in sound absorption
Effective non-Hermitian Hamiltonians are obtained to describe coherent
perfect absorbing and lasing boundary conditions. PT -symmetry of the
Hamiltonians enables to design configurations which perfectly absorb at
multiple frequencies. Broadened and flat perfect absorption is predicted at the
exceptional point of PT -symmetry breaking while, for a particular case,
absorption is enhanced with the use of gain. The aforementioned phenomena are
illustrated for acoustic scattering through Helmholtz resonators revealing how
tailoring the non-Hermiticity of acoustic metamaterials leads to novel
mechanisms for enhanced absorption
Discovering Data-Driven Solutions: A Practical Guide for Small Businesses Implementing Data Analytics
In today’s highly competitive business environment, small businesses are under growing pressure to fight for market share. To do this, a competitive advantage must be established to outperform other business competitors both big and small. One way that small businesses can create a competitive advantage is by utilizing their data and applying basic data analytics. Data analytics is the process of collecting and analyzing large sets of raw data using statistical tests to identify patterns and insights to make conclusions that inform business decisions. The use of data analytics is not exclusive to large corporations and can be greatly beneficial to small businesses. Small businesses can gain valuable insights into market trends, customer demographics, purchasing behaviors, internal operations, performance monitoring, and more. Data analytics allows small businesses to harness the capability to create solutions for various business needs at all levels ranging from high-level management decisions down to daily in-store operations. In this paper, I will explore the benefits of implementing data analytics for small businesses and examples of how and where it can be used
Acoustic characterization of Hofstadter butterfly with resonant scatterers
We are interested in the experimental characterization of the Hofstadter
butterfly by means of acoustical waves. The transmission of an acoustic pulse
through an array of 60 variable and resonant scatterers periodically distribued
along a waveguide is studied. An arbitrary scattering arrangement is realized
by using the variable length of each resonator cavity. For a periodic
modulation, the structures of forbidden bands of the transmission reproduce the
Hofstadter butterfly. We compare experimental, analytical, and computational
realizations of the Hofstadter butterfly and we show the influence of the
resonances of the scatterers on the structure of the butterfly
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