Contents
Machine
Learning Algorithms for Detection of Shockable Rhythms in Automated
Defibrillators
N. A. Alimov, V. A. Erofeeva, D. S. Shalymov
St. Petersburg State University
Institute of
Problems of Mechanical Engineering RAS alimov.nsm@gmail.com victoria@grenka.net
dmitry.shalymov@gmail.com
Key words: pattern recognition, classification algorithms, machine
learning, electrocardiograms, automated defibrillator.
Recently,
the automation of a resuscitation process attracts more and more researchers
due to the low level of survival rate in the cases of sudden cardiac arrest.
Such condition mainly occurs when the heart’s electrical activity becomes
chaotic. In such cases it is required to deliver a shock by a defibrillator to
restore the heart’s normal activity as soon as possible. The defibrillators may
be installed at public places, for example airports and supermarkets, to reduce
the time before the resuscitation procedure begins. Nevertheless, the
competence of a person delivering the shock may also be critical. Therefore,
the automatic resuscitation procedure is more preferable. It is possible to apply
machine learning methods to improve the survival rate. The goals of this paper
are analyzing the existing classification methods and their validation on the
real data, as well as the development of software for algorithm testing.
Bibliogr.: 23 refs.
Amelin K. S., Amelina N. O., Deryugin D. E.,
Ivanskiy Y. V.
St. Petersburg State University
Institute of Problems of Mechanical Engineering RAS {konstantinamelin,
ngranichina, deryugin.denis, ivanskiy.yuriy}@gmail.com
Key words: fast gradient descent method, multiagent systems, transition
process, airplane with “feathers”, turbulence.
The
article considers the operation of the bench simulating the wing of an aircraft
with movable elements (“feathers”), under conditions of turbulent air flow. By
rotating the movable elements in two planes, depending on the characteristics
of the air flow over the wing element, the effect of the chatter is reduced. By
using the feedback mechanism between adjacent wing elements, a transient
process is implemented. The transition happens from an unbalanced state in
which the difference in pressure deviations from their values in the laminar
flow differs greatly in different parts of the wing, to a finite number of
clusters with the same pressure deviation, and then to synchronization of all
wing elements and final equalization of the pressure difference. Synchronization
is implemented by using a multi-agent algorithm based on the fast gradient
method. In the article the mathematical model of a wing with moving elements is
described, the problem formulation of synchronization of wing elements is
presented, the synchronization algorithm is given, the element base of the used
sensors is listed, the results of simulation experiments are analyzed.
Bibliogr.: 24 refs.
An
Implementation of the Memory Manager in the Work-Stealing Load Balancer
E.A.Barkovsky barkevgen@gmail.com
Key words: optimal control, work-stealing deques, memory managers.
In
this paper we describe the memory manager, implemented in the experimental work-stealing
load balancer. The manager is based on the mathematical models of optimal
control of work-stealing deques. The following methods of memory control are
implemented in the manager and analyzed: optimal partition; partition in half.
Also, the work of experimental and standard managers is compared.
Bibliogr.:11refs.
Optimal
Control of Two Queues, Working on the Principle of Custom Queues
A. M. Sazonov
Petrozavodsk sazonov@cs.karelia.ru
Key words: data structures, custom queues, random walks, regular Markov
chains.
In
this paper we propose the mathematical model and a way of solving for the
problem of optimal partitioning of shared memory for the custom queue. It is
done in the form of two queues (the case of their sequential cyclic
representation). It is also considered the imitation model for “One after
another” representation.
Bibliogr.:13refs.