Prof.
Gennady Ososkov
(Joint Institute for Nuclear Research)
7/6/17, 1:30 PM
The paper intends to demonstrate the advantages of deep learning approaches over ordinary shallow neural network (NN) on their comparative applications to image classifying. An autoassociative neural network is used as a standalone program realized the nonlinear principal component analysis (NLPCA) for prior extracting the most informative features of input data for neural networks to be...
Anna Kuznetsova
(Institute of Biochemical Physics RAS), Mr
Igor Kirilyuk
(Institute of Economics RAS)
7/6/17, 2:15 PM
Methods of machine learning and data mining are widely used now in many tasks of physics, chemistry, biology, medicine and in some other areas. Such techniques allow to obtain reliable results in poorly formalized areas. The last several years we used these methods for search of regularities in panel data of the statistical indicators, characterizing the institutional economy of different...
Dr
Alexander Kryukov
(SINP MSU)
7/6/17, 2:30 PM
Nowadays the exponential growth of the amount of experimental data can be observed. While there was 1-10 Tb of data per year in astrophysics 10-15 years ago, new experimental facilities generate data sets ranging in size from 100’s to 1000's of terabytes per year.
It's obvious that various activities must be performed continually across all stages of the data life cycle to help support...
Mr
Maxim Bashashin
(Laboratory of Information Technologies, JINR)
7/6/17, 2:45 PM
The separated form factors method (SFF) is an effective approach to obtain information about a structure of vesicular systems from the small angle scattering data. Parameters of vesicular system are determined by means of minimization of a discrepancy between experimental data on intensity of small angle scattering and the results of respective SFF-based calculations. The minimization...
Dr
Konstantin Gertsenberger
(JINR)
7/6/17, 3:30 PM
The simulated data processing before receiving first experimental data is an important issue in the high-energy physics experiments. This work presents Mock Data Challenge (MDC) for the MPD experiment at the NICA accelerator complex. It uses the ongoing simulation studies to exercise in a stress-testing distributed computing infrastructure and experiment software in the full production...
Ms
Nataliia Kulabukhova
(Saint Petersburg State University)
7/6/17, 3:45 PM
In particle accelerator physics the problem is that we can not see what is going on inside the working machine. There are a lot of packages for modelling the behaviour of the particles in numerical or analytical way. The idea is to provide scientists with a problem-solving environment, which can not only do some numerical calculations, but show the changes of the particle distribution as a...
G. Fedorov
(Intel)
7/6/17, 4:00 PM
Andrey Lebedev
(GSI, Darmstadt / JINR, Dubna)
7/6/17, 4:15 PM
The Dynamic Deployment System (DDS) is a tool-set that automates and significantly simplifies a deployment of user-defined processes and their dependencies on any resource management system (RMS) using a given topology.
A number of basic concepts are taken into account in DDS. Namely, DDS implements a single responsibility principle command line tool-set and APIs. The system treats users’...
Prof.
Vasily Dikusar
(Dorodnicyn Computing Centre, FRC CSC RAS)
7/6/17, 4:45 PM
We consider the problem of choice of angle of attack and bank by a device which is slowed down in the atmosphere for the flight on the minimum of maximum heat with constraints on the value of full loading factor. The solution of mentioned problems allows to determine maneuver abilities of the device. The constraints on full loading factor (control-state constraint), the lift force coefficient...
