Sergey Simakov

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In this paper, we develop a tracking framework for multistatic sonar ping scheduling. This framework provides a unified approach to surveillance and tracking over a search area. The framework is used to dynamically schedule active sonar transmissions from a set of available sources and transmission parameters, including waveforms. This dynamic scheduling(More)
This review is devoted to recent developments in blood flow modelling. It begins with the discussion of blood rheology and its non-Newtonian properties. After that we will present some modelling methods where blood is considered as a heterogeneous fluid composed of plasma and blood cells. Namely, we will describe the method of Dissipative Particle Dynamics(More)
There are two mathematical models of elastic walls of healthy and atherosclerotic blood vessels developed and studied. The models are included in a numerical model of global blood circulation via recovery of the vessel wall state equation. The joint model allows us to study the impact of arteries atherosclerotic disease of a set of arteries on regional(More)
We describe a technique for detection and tracking of multiple targets using a multistatic sonobuoy array. The innovation in the proposed algorithm is the use of a clustering step, posed as Bayesian mixture estimation, to produce Cartesian position measurements. These are passed to a sequential Monte Carlo approximation of the multiple hypothesis tracker.(More)
The paper presents the latest stage in the development of a robust multitarget tracker to be deployed in a large multistatic sonobuoy system. The major technical challenges are: the association of multiple measurements from different receivers for every ping; target detection dependence on the source-target-receiver geometry, ping properties, target(More)
Assumed here is a multi-static sonar system consisting of a distributed field of emitter and receiver sonobuoys within a defined search area. The field is deployed to search for and estimate the location, heading, and speed of underwater targets within the search area. We describe a method for optimizing, over a long time horizon, choice of transmission(More)
The Threat Probability Density Map displays the outcomes of the search effort prior to detection and is a digital representation of the probability density function of location of the existing undetected threat. The Threat Map readily provides such diagnostics as the probabilities of the threat being present in different areas of interest and this(More)
An airflow in the first four generations of the tracheobronchial tree was simulated by the 1D model of incompressible fluid flow through the network of the elastic tubes coupled with 0D models of lumped alveolar components, which aggregates parts of the alveolar volume and smaller airways, extended with convective transport model throughout the lung and(More)