Search academic texts

Information × Registration Number 0222U004359, 0121U110720 , R & D reports Title Development of methods and algorithms for the development of models and the designation of stanovies for trivial monitoring based on supercomputer technologies. Step 1. Development of a method for realizing remote monitoring of great numbers of superb numbers and sub-assemblies with operational models of machines for monitoring in the missions of introducing and approving stand-alone flows of models and processors development by algorithms of the model of stanіv for trivial monitoring with the registration of input signals and vimіryuvalny data with the further formulation of logical and statistical information models of the stanіv for the monitoring; development of new multi-wavelet low computational folding and fast algorithms; development of clusterization algorithms for changing the size and folding of mathematical models. popup.stage_title Head Shevchuk Bohdan М., д.т.н. Registration Date 25-07-2022 Organization V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine popup.description2  Methods and algorithms for distributed modeling and determination of states of long-term monitoring objects in wireless networks with supercomputer have been developed, including the method of remote monitoring of a large number of objects and subjects with operative and in-depth modeling of monitoring objects states by means of object systems and supercomputers, algorithms for modeling the states of long-term monitoring objects using signal samples with the subsequent formation of logical and statistical information models of the states of monitoring objects; new multi-wavelets of low computational complexity and their fast algorithms have been developed, including methods for constructing orthonormal basis systems based on integer step multi-wavelets, matrix methods for constructing multi-wavelet packets of different sizes for integer wavelet transforms. -package size 4x4 and 8x8, fast algorithms for 1D and 2D and inverse integer wavelet transforms with multiwavelet package size 4x4 and 8x8; clustering algorithms have been developed to reduce the dimensionality and complexity of mathematical models, algorithms for modeling the processes of recovery of compact data samples of monitoring signals and video signals have been analyzed. Product Description popup.authors Hnativ Lev O. Luts Vasyl K. Luts Liliya V. popup.nrat_date 2022-08-01 Close