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• SYNTHESIS OF SOFTWARE AND INFORMATION SUPPORT FOR THE IMPLEMENTATION OF METHODS FOR VERIFICATION OF THE STATE OF MEDICAL BIOLOGICAL OBJECTS FOR A MEDICAL AUTOMATED INFORMATION SYSTEM

  А. V. Proskuryakov

  2022-05-26

  Abstract ▼

  This article describes the information and software for the implementation of various methods
  for verifying the state of fragments of biological objects using computed tomographic images by the
  decision support subsystem for the diagnosis of diseases. It is pointed out the current state of development
  of medical diagnostic equipment, the equipment of which medical institutions of the country
  and its non-operational accessibility to the population contributed to and led to the emergence and
  active development of new directions in the field of radiation diagnostics, which include: digital and
  film radiography, computed tomography, magnetic resonance imaging. The article focuses on the
  analysis of X-ray images, decision-making based on the analysis of these images, diagnosis based on
  the decisions made. The advantages and disadvantages of radiography as a modern diagnostic method
  are analyzed relative to their analogues. An important task in the analysis of radiographic images
  of medical biological objects and their fragments is to solve the problem of image quality improvement.
  In order to improve the quality of X-ray images and increase their informativeness, an algorithm
  has been developed and the software of the software subsystem of the medical automated information
  system for their correction and analysis has been implemented. The article discusses the
  implementation of solving problems of diagnosis of diseases, such as: analysis of radiographic images,
  decision-making based on the analysis of these images, diagnosis based on the decisions made by
  developing and applying software and information support for the implementation of methods for
  verifying the state of fragments of biological objects as effective methods for diagnosing the state of
  paranasal sinuses by their radiographic and computed tomographic images. The main methods underlying
  verification by X-ray and computed tomography images are described. A detailed analysis
  of the implementation of mathematical models of diagnostic methods in the form of algorithms implemented
  by software for the functioning of the decision support subsystem of a medical automated
  information system is given. Examples of practical implementation of software and information support
  for verification methods of medical objects in the form of screen forms for working with fragments
  of the object under study and the results of the analysis of radiographic images are shown.
  This makes it possible to increase the efficiency, accuracy of verification of the state of medical biological
  objects, the reliability of the disease diagnosis process. The scientific novelty, the results of
  the approbation of the material presented in the article at international, All-Russian conferences,
  scientific journals are shown.

• INVESTIGATION OF THE IMPACT OF COMPLEX FIRE CONDITIONS ON THE QUALITY OF SURVEILLANCE AND FLIGHT SAFETY OF UAVS

  M.I. Mokrova

  2021-04-04

  Abstract ▼

  Aviation monitoring of fires with the help of unmanned aerial vehicles (UAVs), in particular,
  forest ones, during which the search for various objects of interest is carried out: people, cars,
  etc., is one of the most effective measures to reduce the level of possible losses. In this paper, we
  consider approaches to the formation of algorithms for processing and improving images obtained
  in the process of monitoring the fire situation, based on the use of neural networks, as well as
  image filtering algorithms, in order to search for various objects of interest. Fire monitoring using
  an UAV is a two-criteria task: there is a need to protect the device from the thermal effects of the
  fire as much as possible, as well as to maximize the observability, which can be achieved by reducing
  the altitude of the flight. This paper presents the empirical models developed by the authors for
  the flight safety of an unmanned aerial vehicle and the observability of objects of interest in the
  process of monitoring the fire situation. The proposed models allow us to take into account the
  features of the monitoring conditions, such as the priority of detecting the object of interest to the
  security of the reconnaissance vehicle itself, air humidity, terrain and type of terrain, time of day,
  and so on. An example of the application of the contrast model is considered on the example of the
  search and detection of the "letter"label. On the basis of the conducted experiment on the recognition
  of the mark in the smoke, the analysis of the proposed models is carried out, the quantitative
  results are given. The paper describes the criteria for the optimal choice of the altitude of the
  flight of the device over the observed scene, which are formed on the basis of the base of expert
  assessments, as well as the proposed models of the observability and safety of the UAV flight. Depending
  on the target search task, the optimality criterion for choosing the UAV flight altitude
  over the observed scene may vary.