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• SIMULATION MODELING OF MILK HEATING BY THE ENERGY OF MICROWAVE FIELD

  N.N. Kisel, А. А. Vaganova, I. A. Vaganov

  2020-10-11

  Abstract ▼

  Heat treatment of dielectric materials and food products is one of the important directions in
  the development of the production of various products. The use of the electromagnetic field energy
  of ultrahigh frequencies for drying, heating, defrosting and pasteurizing food products is promising,
  since such technologies are suitable for processing various dielectric materials and, at the
  same time, are efficient and environmentally friendly. Despite many developments in the field of
  microwave processing of materials, the creation of a universal device suitable for heat treatment of
  any kind of materials is difficult because of the variety of their shapes and sizes, as well as the
  significant difference in the electrical properties of variouse dielectrics. Therefore, in each specific
  case, it is required to create an optimal design of the device and choose the option for exciting the
  electromagnetic field. This work is devoted to modeling the absorption of energy of the microwave
  electromagnetic field in a device for milk pasteurization. Using CAD FEKO, a 3D model of the
  device was built and its operation was modeled. The study of the influence of the angle of inclination
  of quartz tubes on the distribution of the electromagnetic field in the waveguide is carried out.
  The results show that most of the power is absorbed closer to the beginning of the waveguide, and
  this phenomenon is more pronounced with an increase in the angle of inclination of the tubes.
  On the basis of performed calculations, the optimal angle of inclination of the tubes was determined.
  The influence of the diameter and material of the tubes was also considered. The distributions
  of the electric field and specific power absorbed per kg of dielectric in the waveguide are
  obtained. The accuracy of the results is evaluated. Possible modifications of the proposed design
  of the pasteurization device can be made by choosing other variants of the arrangement of the
  tubes with milk. The thickness of the tube's walls can also affect the absorbed power. In addition,
  the composition of milk can change its electrophysical properties, and therefore can also affect the
  level of absorbed power. However, these questions require further research.

• AUTOMATED STRUCTURAL-PARAMETRIC SYNTHESIS OF A STEPSED DIRECTIONAL RESPONDER ON CONNECTED LINES BASED ON A GENETIC ALGORITHM

  Y. V. Danilchenko , V.I. Danilchenko, V. M. Kureichik

  2020-11-22

  Abstract ▼

  An automated approach to the structural-parametric synthesis of a stepped directional coupler
  on connected lines based on a genetic algorithm (GA) is described, which makes it possible to
  create an algorithmic environment in the field of genetic search for solving NP complete problems,
  in particular, the structural-parametric synthesis of a stepped directional coupler on connected
  lines. The purpose of this work is to find ways of structural-parametric synthesis of a stepped directional
  coupler on coupled lines based on the bionspiration theory. The scientific novelty lies in
  the development of a modified genetic algorithm for automated structural-parametric synthesis ofa stepped directional coupler on connected lines. The problem statement in this work is as follows:
  to optimize the synthesis of passive and active microwave circuits by using a modified GA. A fundamental
  difference from the known approaches in the use of new modified genetic structures in
  automated structural-parametric synthesis, in addition, a new method for calculating a stepped
  directional coupler on connected lines based on a modified GA is righteous in the work. Thus, the
  problem of creating methods, algorithms and software for automated structural synthesis of microwave
  modules is currently of particular relevance. Its solution will improve the quality characteristics
  of the designed devices, reduce design time and costs, and reduce the requirements for
  developer qualifications.

• METAHEURISTICS BASED ON THE BEHAVIOR OF A COLONY OF WHITE MOLES

  Y.V. Danilchenko, V. I. Danilchenko, V. М. Kureichik

  132-140

  2021-08-12

  Abstract ▼

  Optimization algorithms inspired by the natural world have turned into powerful tools for solv-ing complex problems. However, they still have some disadvantages that require the study of new and more advanced optimization algorithms. In this regard, when solving NP complete problems, there is a need to develop new methods for solving this class of problems. One of these methods can be metaheuristics based on the behavior of a colony of white moles. This paper proposes a new metaheuristic algorithm called the blind white moles algorithm. This algorithm was developed based on the social behavior of blind moles in search of food and protecting the colony from intruders. The proposed solution will be able to overcome many disadvantages of conventional optimization algo-rithms, including falling into the trap of local minima or a low convergence rate. The purpose of this work is to develop an algorithm for optimizing a complex objective function. The scientific novelty lies in the development of a genetic algorithm based on the behavior of a colony of white moles for solving NP complete problems. The problem statement in this paper is as follows: to optimize the search for solutions to complex functions by applying an algorithm based on the behavior of a colony of white moles. The practical value of the work lies in the creation of a new search architecture that allows using the developed algorithm for the effective solution of NP complete problems, as well as conducting a comparative analysis with existing analogues. The fundamental difference from the known approaches is in the application of a new bioinspired search structure based on the behavior of a colony of white moles, which will allow to exclude falling into a local minimum or a low conver-gence rate. The presented results of the computational experiment showed the advantages of the pro-posed multidimensional approach to solving the problems of placing VLSI elements in comparison with existing analogues. Thus, the problem of creating methods, algorithms and software for solving NP complete problems is currently of particular relevance

• AUTOMATED STRUCTURAL-PARAMETRIC SYNTHESIS OF A STEPSED DIRECTIONAL RESPONDER ON CONNECTED LINES BASED ON A GENETIC ALGORITHM

  Y. V. Danilchenko , V.I. Danilchenko, V. M. Kureichik

  2021-07-18

  Abstract ▼

  All major manufacturers go to a decrease in the dimensions of modern microelectronic devices.
  This leads to the transition to new standards for designing and manufacturing SBSS.
  The well-known automated design algorithms are not fully able to implement new requirements
  when designing a SBI. In this regard, when solving the tasks of design design, there is a need todevelop new methods for solving this class task. One of these techniques can be a hybrid multidimensional
  search system based on a genetic algorithm (GA). An automated approach to the design
  of the SB based on a genetic algorithm is described, which makes it possible to create an algorithmic
  medium in the field of multidimensional genetic search to solve the NP full tasks, in particular
  the placement of the VSA elements. The purpose of this work is to find ways to place the elements
  of the SBI based on the genetic algorithm. The scientific novelty is to develop a modified
  multidimensional genetic algorithm for automated design of super-high integrated circuits. The
  formulation of the problem in this paper is as follows: optimize the placement of the ELEMENTS
  of the SBI by using, multidimensional modified hectares. The practical value of the work is to create
  a subsystem that allows you to use the developed multidimensional architecture, methods and
  algorithms to effectively solve the tasks of the design design of the SDI, as well as conduct a comparative
  analysis with existing analogues. The fundamental difference from the well-known approaches
  in the application of new multidimensional genetic structures in the automated design of
  the SBI, in addition, the modified genetic algorithm was righteous. The results of the computational
  experiment showed the advantages of a multidimensional approach to solving the tasks of placing
  the Elements of the SBI compared to existing analogues. Thus, the problem of creating methods,
  algorithms and software for the automated placement of the SBS elements is currently of particular
  relevance. Its solution will improve the qualitative characteristics of the designable devices,
  will reduce the timing and costs of design.

• METAHEURISTIC OPTIMIZATION METHOD BASED ON THE STEM CELL BEHAVIOR MODEL

  Y. V. Danilchenko , V.I. Danilchenko, V.M. Kureichik

  2022-05-26

  Abstract ▼

  The paper discusses optimization methods that are based on processes occurring in nature. Such
  methods have become increasingly used to solve complex problems. However, such methods have some
  drawbacks, which stimulates the development of new and more advanced optimization methods. Solving
  NP complete problems requires optimal methods that will meet all design requirements, so there is a
  need to develop new and more advanced methods for solving this class of problems. As such a method,
  the authors propose an optimization method based on a model of the behavior of stem cells in the natural
  environment. The conducted studies of the proposed method provide solutions that can overcome
  many of the shortcomings of standard optimization approaches, such as getting into the local optimum
  or low convergence rate of the algorithm based on the method under consideration. The purpose of this
  work is to develop an optimization method and an algorithm based on it for solving a complex objective
  function. The scientific novelty lies in the development of an optimization method based on the stem cell
  behavior model for solving NP complete problems. The aim of the work is to create conditions for theoptimal search for a solution to complex functions by applying the search method and, based on it, an
  algorithm for the behavior of stem cells. The practical value of the work lies in the development of a new
  metaheuristic optimization method for the efficient solution of NP complete problems. Also in the work,
  a comparative analysis with well-known competitors was carried out. The main difference of the proposed
  method from other known methods is the use of a new approach of bioinspired search based on
  the behavior of stem cells, which, as shown by practical comparison, has an advantage over known
  analogues. The results of a practical comparison of methods and algorithms based on them showed the
  advantages of the approach proposed in the work on known test functions. After analyzing the problem
  of creating methods, algorithms and software for solving NP complete problems, we can conclude that
  the development of such approaches is currently an urgent task.

• METHODOLOGY OF TOPOLOGICAL RESTRICTIONS FOR INTENSIVELY USED FPGA RESOURCE

  К.N. Alekseev, DА. Sorokin, А.L. Leont'ev

  2022-11-01

  Abstract ▼

  In the paper we consider the problem of achieving high real performance of reconfigurable
  computer systems in implementing computationally expensive tasks from various problem areas.
  The parameters of the programs executed on reconfigurable systems determine their real performance.
  The main component of these programs is the computing data processing structures implemented
  as FPGA configuration files. At the same time, one of the key parameters of any computing
  structure is the clock frequency of its operation, which directly affects its performance. However,
  there are several problems concerning the achievement of high clock rates, and they cannot be solved
  with the help of modern CAD tools. The reason is the non-optimal topological placement of functional
  blocks of the computing structure within the field of FPGA primitives, especially with high resource
  utilization. Due to this, the load on the FPGA switching matrix is increasing, and, as a result,
  the connections among functionally dependent FPGA primitives turn out to be much longer than is
  acceptable. In addition, excessive connection length is observed when tracing connections among
  primitives that are placed on different FPGA chips or are physically separated by on-chip peripherals.
  In the paper we describe a methodology which provides optimization of the placement of computing
  structure elements on FPGA primitives, and minimizes the length of traces among primitives,
  and also minimizes the number of traces among physically separated FPGA topological sections.
  To prove the proposed methodology, we implemented the test task "FIR-filter" on a reconfigurable
  computer "Tertius." We have demonstrated the main problems concerning reaching the target clock
  rate and have described a method for their solution. Owing to our methodology, it is possible to
  increase the clock rate; hence, the performance of Tertius will increase by 25% without revising
  the functional circuit of the task’s computing structure. According to our current research of the
  suggested methodology and its efficiency, we claim that CAD tools, used for creating topological
  restrictions and based on our methodology, will significantly reduce the time for developing programs
  with the required characteristics for reconfigurable computer systems.