296 research outputs found
Simplified Continuous High Dimensional Belief Space Planning with Adaptive Probabilistic Belief-dependent Constraints
Online decision making under uncertainty in partially observable domains,
also known as Belief Space Planning, is a fundamental problem in robotics and
Artificial Intelligence. Due to an abundance of plausible future unravelings,
calculating an optimal course of action inflicts an enormous computational
burden on the agent. Moreover, in many scenarios, e.g., information gathering,
it is required to introduce a belief-dependent constraint. Prompted by this
demand, in this paper, we consider a recently introduced probabilistic
belief-dependent constrained POMDP. We present a technique to adaptively accept
or discard a candidate action sequence with respect to a probabilistic
belief-dependent constraint, before expanding a complete set of future
observations samples and without any loss in accuracy. Moreover, using our
proposed framework, we contribute an adaptive method to find a maximal feasible
return (e.g., information gain) in terms of Value at Risk for the candidate
action sequence with substantial acceleration. On top of that, we introduce an
adaptive simplification technique for a probabilistically constrained setting.
Such an approach provably returns an identical-quality solution while
dramatically accelerating online decision making. Our universal framework
applies to any belief-dependent constrained continuous POMDP with parametric
beliefs, as well as nonparametric beliefs represented by particles. In the
context of an information-theoretic constraint, our presented framework
stochastically quantifies if a cumulative information gain along the planning
horizon is sufficiently significant (e.g. for, information gathering, active
SLAM). We apply our method to active SLAM, a highly challenging problem of high
dimensional Belief Space Planning. Extensive realistic simulations corroborate
the superiority of our proposed ideas
Customer analysis and segmentation using statistical methods
Předmětem diplomové práce je analýza portfolia zákazníku v byznys segmentu telekomunikačního trhu. První část je teoretická a popisuje statistickou analýzu vícerozměrných dat, obsahuje i zásady marketingu při analýze zákazníků. Druhá část je analytická, v ní se provádí shluková a korelační analýzy, posouzení jejích výstupu a doporučení pro management společnosti.The subject of the thesis is an analysis of customers in a business segment of the telecomunication market. First part is theoretical and describes statistical methods of multidimensions data. Second part is analytical. It consists of analysis of the problem and it's solution. Last part is design and sums up the results
Irradiation-induced Ag nanocluster nucleation in silicate glasses: analogy with photography
The synthesis of Ag nanoclusters in sodalime silicate glasses and silica was
studied by optical absorption (OA) and electron spin resonance (ESR)
experiments under both low (gamma-ray) and high (MeV ion) deposited energy
density irradiation conditions. Both types of irradiation create electrons and
holes whose density and thermal evolution - notably via their interaction with
defects - are shown to determine the clustering and growth rates of Ag
nanocrystals. We thus establish the influence of redox interactions of defects
and silver (poly)ions. The mechanisms are similar to the latent image formation
in photography: irradiation-induced photoelectrons are trapped within the glass
matrix, notably on dissolved noble metal ions and defects, which are thus
neutralized (reverse oxidation reactions are also shown to exist). Annealing
promotes metal atom diffusion, which in turn leads to cluster nuclei formation.
The cluster density depends not only on the irradiation fluence, but also - and
primarily - on the density of deposited energy and the redox properties of the
glass. Ion irradiation (i.e., large deposited energy density) is far more
effective in cluster formation, despite its lower neutralization efficiency
(from Ag+ to Ag0) as compared to gamma photon irradiation.Comment: 48 pages, 18 figures, revised version publ. in Phys. Rev. B, pdf fil
DANSSino: a pilot version of the DANSS neutrino detector
DANSSino is a reduced pilot version of a solid-state detector of reactor
antineutrinos (to be created within the DANSS project and installed under the
industrial 3 GW(th) reactor of the Kalinin Nuclear Power Plant -- KNPP).
Numerous tests performed at a distance of 11 m from the reactor core
demonstrate operability of the chosen design and reveal the main sources of the
background. In spite of its small size (20x20x100 ccm), the pilot detector
turned out to be quite sensitive to reactor antineutrinos, detecting about 70
IBD events per day with the signal-to-background ratio about unity.Comment: 16 pages, 11 figures, 3 tables. arXiv admin note: substantial text
overlap with arXiv:1304.369
Search for sterile neutrinos at the DANSS experiment
DANSS is a highly segmented 1~m plastic scintillator detector. Its 2500
one meter long scintillator strips have a Gd-loaded reflective cover. The DANSS
detector is placed under an industrial 3.1~ reactor of the
Kalinin Nuclear Power Plant 350~km NW from Moscow. The distance to the core is
varied on-line from 10.7~m to 12.7~m. The reactor building provides about 50~m
water-equivalent shielding against the cosmic background. DANSS detects almost
5000 per day at the closest position with the cosmic
background less than 3. The inverse beta decay process is used to detect
. Sterile neutrinos are searched for assuming the model
(3 active and 1 sterile ). The exclusion area in the plane is obtained using a ratio of positron energy
spectra collected at different distances. Therefore results do not depend on
the shape and normalization of the reactor spectrum, as well
as on the detector efficiency. Results are based on 966 thousand antineutrino
events collected at 3 distances from the reactor core. The excluded area covers
a wide range of the sterile neutrino parameters up to
in the most sensitive region.Comment: 10 pages, 13 figures, version accepted for publicatio
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