Development automated system of data processing (ASDP).

Mentor: DOCTOR OF TECHNOLOGICAL SCIENCES, PROF. Prystavka P. O.

ASDP are intended for automatically processing of observation results and can include:

• subsystems of data saving and data editing (data base);
• subsystem of visualization of the processing results;
• libraries of procedures and functions of mathematical support for information processing;
• hardware-integrated systems for collecting and processing information, in particular, unmanned systems with intelligent information analysis functions with client-server architecture.

Applied tasks that can be solved with ASDP:

• estimation of the period of active existence of highly reliable technical systems, in particular space and aviation engineering;
• estimation and forecasting of ecological state of the environment and technogenically loaded regions;
• Processing of the results of geological exploration of mineral deposits;
• hydrochemical monitoring in zones of human activity;
• medical diagnostics;
• digital image processing (filtering, scaling, compression, digital stabilization);
• video analytics for target loading cameras for unmanned systems;
• reconnaissance-search unmanned aerial systems with the possibility of automatic maintenance of the unmanned complex of found objects.

The mathematical support of the developed ASDP includes:

• classical methods of statistical analysis of data (primary, correlation, regression, factor, cluster, hypothesis testing, classification);
• methods of non-parametric estimation of observation functions;
• parametric spline estimation (distribution and regression functions);
• Time series processing and forecasting methods;
• methods of modeling systems based on the theory of Markov processes;
• methods of approximation using local polynomial splines based on B-splines;
• methods for processing digital images based on linear operators, providing real-time processing;
• video processing methods in real time: detection and tracking of moving objects, object recognition, orthorectification of aerial photography;
• Object recognition on the basis of firewall neural networks (CNN-networks) and based on the statistical approaches of Data Science;
• Intelligent filtering of visual information based on recognition methods, Deep Learning and Data Mining.