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• THE ESTIMATION OF CHANGING ENVIRONMENTAL CONDITIONS INFLUENCE ON THE WORKLOAD DISTRIBUTION IN THE UAV GROUP

  I.B. Safronenkova, A.B. Klimenko

  2021-12-24

  Abstract ▼

  The paper considers the problem of workload distribution in a group of unmanned aerial vehicles
  (UAVs) when monitoring a certain area in a changing environment, which has a direct impact on the
  onboard energy resources consumption. The stage of a monitoring problem-solving, which includes the
  distribution of UAVs over scanning bands, is described here. When this stage is carried, there is no
  opportunity to take into account the factors of environmental impact. But these factors are crucial
  due to the limited onboard energy resources. In this regard, a situation is very likely when the UAV is
  not able to complete the sub-task assigned to it, which jeopardizes the completion of the entire mission
  of the group. To avoid this situation, it is proposed to use the technique of a decision-making on
  the need to relocate the workload in a group of mobile robots (MR). The decision-making is based on
  the ontological analysis procedure, which allows limiting the number of choices for workload relocation.
  The ontology model of the workload distribution in a group of UAVs was developed. This model
  takes into account the possibility of additional performance involvement either by means of the resources
  of neighboring UAVs, or by means of devices of the "foggy" layer. Examples of production
  rules are given, on the basis of which a decision is made on the need to relocate the workload. A
  comparative estimation of the resources volume involved in the implementation of two methods of
  workload relocation problem solving, depending on the frequency of changes in environmental conditions,
  is carried out. The results of computational experiments have shown that the method based on
  ontological analysis is more efficient in comparison with the method based on LDG (Local Device
  Group) in terms of the amount of resources involved. This makes it possible to increase the time of joint
  mission implementation by the UAV group.

• ALGORITHM OF ENSURING THE SECURITY OF CONFIDENTIAL DATA OF THE MEDICAL INFORMATION SYSTEM FOR STORAGE AND PROCESSING OF EXAMINATION RESULTS

  L.K. Babenko, A.S. Shumilin, D.M. Alekseev

  2021-01-19

  Abstract ▼

  The objectives of the study are to develop and assess the effectiveness of the structure of a
  cloud platform for storing, processing and organizing medical data, determining a method of protection,
  in particular, ensuring confidentiality when transferring and storing examination results.
  To achieve this goal, the tasks of analyzing existing models of information processes and structures
  in the subject area are being solved, the features of the means for accumulating and processing medical data stored in electronic information systems for patient registration, the architecture
  of a cloud platform for distributed data storage and an algorithm for ensuring the safety of
  medical data stored in the cloud are being developed. the platform in electronic form in the form
  of initial physiological signals (EEG, ECG, EMG, EOG, etc.) recorded during patient examinations;
  an integrated cloud platform for distributed storage, analysis and systematization of medical
  data and a security system using the developed protection method are being created; the effectiveness
  of the proposed algorithm for protecting confidential medical information is analyzed in the
  context of integration into the developed cloud platform. The proposed method for protecting a
  medical information system involves the use of an original DICOM file and subsequently a converted
  PNG image, which is subjected to a pixel encryption algorithm. An algorithm based on
  chaos theory is used to encrypt the image. The capabilities of chaos systems can significantly increase
  productivity. Hierarchical division of data streams into levels and standardization of data
  transfer protocols, as well as their storage formats, allow to form a universal, flexible and reliable
  medical information system. The proposed architecture has the ability to integrate into existing
  medical systems. In the course of the work, it was found that the considered protection method is
  an effective way to ensure the confidentiality of medical system data.

• MOBILE-CLOUD SYSTEM FOR SOLVING PHOTOGRAMMETRY TASKS IN INDUSTRY

  A.N. Samoylov, Y. M. Borodyansky

  2021-11-14

  Abstract ▼

  With the development of the capabilities of mobile devices and the increase in the availability
  of wireless communication, the possibilities of building industrial automation systems have
  significantly expanded. The quality of digital photography obtained with a smartphone camera
  makes it possible to build mobile systems based on computer vision: for example, photogrammetry
  systems. There are several factors to consider. The first factor is that the tasks of processing digital
  photography for industrial purposes remain resource-intensive and cannot be fully implemented
  only on the basis of a mobile device. Therefore, it is required to transfer the execution environment
  for resource-intensive tasks to third-party computing power available on demand. The second
  factor is the stability and bandwidth of the communication channel - mobile devices are usually
  needed in remote locations where the deployment of desktop computers is not possible. Therefore,
  using a smartphone only as a camera is not always justified, since the transfer of an unprocessed
  image may take a long time or even be impossible. The third factor hindering the widespread
  use of mobile devices in solving photogrammetric problems is the variability and constant
  emergence of new methods of image processing and analysis. It is necessary to centrally create
  and replenish libraries of such modules. Thus, the creation of mobile photogrammetric measuringsystems requires combining the computing power of cloud services and the mobility of smartphones. The article proposes a method for constructing photogrammetric measuring systems
  based on mobile cloud computing, which provides a dynamic balance of the computational load on
  the nodes of the system, as well as the variability of functionality on mobile devices of users

• ALGORITHM OF PROTECTING CONFIDENTIAL DATA IN THE CLOUD MEDICAL INFORMATION SYSTEM

  L.K. Babenko, A.S. Shumilin, D.M. Alekseev

  2021-12-24

  Abstract ▼

  The aim of the work is the development and implementation of the architecture of a cloud
  storage system, systematization and processing of survey results (for example, EEG) and an algorithm
  for ensuring the protection of confidential data based on a completely homomorphic cryptosystem.
  The object of the research is the technologies of storage, transmission, processing and
  protection of confidential information in distributed medical information systems. The architecture
  of a cloud platform for distributed storage, processing, systematization and protection of confidential
  data (results of medical examinations) has been developed, which makes it possible to interact
  with various medical information systems and diagnostic hardware in order to generate big data.
  An algorithm has been developed to ensure the safety of medical data stored in a cloud platform in electronic form, recorded during patient examinations in order to calculate the average value for
  each of the brain activity rhythms (based on the results of a series of examinations over a long
  period of time) using a fully homomorphic encryption algorithm. Based on the test results (analysis
  of the execution time of such operations as: encryption, decryption, addition, multiplication,
  signal-to-noise ratio of ciphertext to plaintext), the optimal algorithm. According to the results of
  the work, it is shown that the fully homomorphic encryption scheme CKKS is the most effective,
  especially in the context of the criticality of the requirements for a high level of security of confidential
  data, which determines the choice of this scheme for the implementation of the algorithm
  proposed in this work.