Date and Time: Thursday, 31 May 2018, at 3:00 PM

Venue: room 310, Laboratory of Information Technologies

1. Seminar topic: «Development of remote data processing and methods of analysis of encephalography using cloud computing»

   Speaker: E.S. Oplachko (IMPB RAS – branch of M. V. Keldysh IPM, RAS)

   Abstract:
   
   The software for the analysis of experimental data of encephalography, which does not require installation on the user’s computer and additional licensing, has been created. It has been found that cloud technologies meet all the requirements, and the model of service provision “Application as a Service” (Software as a Service) was chosen. In the paper we propose a unified concept of the analysis of the encephalography data using a variety of methods for the signal components allocation. The concept was implemented by including the following programs in the cloud resource:
   
   – calculation of the forward and reverse Fourier transform for a long time series;
   – quantitative analysis of the encephalogram;
   – independent components;
   – calculations of the main components;
   – solutions to the inverse problem of magnetic encephalography using magnetic resonance tomogram of the subject.
   
   As a result of this work, created was a cloud service MathBrain, designed for use by experts in biology and medicine.
   
   (On materials of the Candidate’s theses)
   
   

2. Seminar topic: «Information-computational support for modeling of complex heterogeneous systems using wave probability functions»

   Speaker: Miroslav Svitek (Czech Technical University in Prague, Faculty of Transport Sciences)

   Abstract:
   
   Mathematical models of complex systems based on the use of wave probability functions, in particular, the probability wave models of the behavior of different observers, taking into account their mutual errors as well as time differences between the observed events have been created. Created was a theory of information network consisting of partial information subsystems – I/O information gateways as well as internal elements, representing a sequential or concurrent ordering of these subsystems in a single unit of a higher rank. We demonstrate the effectiveness of the proposed information approaches for the analysis of complex hierarchical systems which one can find in practical applications, described in detail is the implementation of the proposed approach for creation of intelligent transport systems and smart cities/regions, which, in this case, are used as vivid examples of complex information systems with a large number of positive and negative bonds.
   
   (On material of the Doctor’s theses)