Development of the method for decomposition of superpositions of unknown pulsed signals using the second­order adaptive spectral analysis

Stepanenko, Alexander; Oliinyk, Аndrii; Deineha, Larysa; Zaiko, Tetiana

doi:10.15587/1729-4061.2018.126578

Cited by 39 publications

(26 citation statements)

References 25 publications

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“…3. Replace the genes that are repeated in the lateral parts of each descendant on the genes from the opposite posterity at the duplicate positions [1,[17][18][19][20][21][22].…”

Section: Classification Analysis Of the Functioning Of The Investigated Methodsmentioning

confidence: 99%

“…Then, among the selected N chromosomes, we need to select the best one, namely the H i -chromosome, with the minimum value of the fitness function f(H) and add it to the resulting population. Then it is necessary to repeat the previous steps as many times as the individuals in the population [16][17][18].…”

Section: Development Of An Evolutionary Methods For Solving the Traveling Salesman Problemmentioning

confidence: 99%

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Implementation of Evolutionary Methods of Solving the Travelling Salesman Problem in a Robotic Warehouse

Oliinyk

Fedorchenko

Stepanenko

et al. 2020

Data-Centric Business and Applications

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An evolutionary method for solving the traveling salesman problem in the field of pharmacy business by optimizing the work of the drug delivery device is proposed in this paper. Modifications of three methods of initialization of the initial population of the genetic algorithm are developed. The software implementation is proposed to solve the problem of a sales-man in the pharmacy business by optimizing the process of drug delivery, using modified evolutionary methods. Unlike existing methods, the modified version of the evolution method allows to choose the original method of population initialization when solving the problem of traveling salesman, which, in turn, allows to generate more adapted chromosomes (chromosomes with better values of fitness functionality) at the stage of initialization and thereby improve the results algorithm. It is also possible to graphically monitor the process of solving the seller's problem, get the result in text and graphic forms. The principles of objectoriented programming, namely the use of classes, the principle of data encapsulation and inheritance, were used when writing the program. UML diagrams of classes, sequences, activities, states and cooperation were used to visualize the structure and functional relationships of the modules of the developed software.

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“…3. Replace the genes that are repeated in the lateral parts of each descendant on the genes from the opposite posterity at the duplicate positions [1,[17][18][19][20][21][22].…”

Section: Classification Analysis Of the Functioning Of The Investigated Methodsmentioning

confidence: 99%

Section: Development Of An Evolutionary Methods For Solving the Traveling Salesman Problemmentioning

confidence: 99%

Implementation of Evolutionary Methods of Solving the Travelling Salesman Problem in a Robotic Warehouse

Oliinyk

Fedorchenko

Stepanenko

et al. 2020

Data-Centric Business and Applications

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“…Given the possibility of representing the original image (video stream frame) with a set of optical signals, consider similar methods of signal processing in radio equipment (for example, [22]). In [22], a method of decomposition of superpositions of unknown pulse signals by adaptive spectral analysis of the second order is proposed. The method reported in [22] is effective in processing pulse signals in radio engineering systems.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Devising a method for processing the image of a vehicle's license plate when shooting with a smartphone camera

Khudov

Makoveichuk

Misiuk

et al. 2022

EEJET

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This paper reports an improved method for processing the image of a vehicle's license plate when shooting with a smartphone camera. The method for processing the image of a vehicle's license plate includes the following stages: – enter the source data; – split the video streaming into frames; – preliminary process the image of a vehicle's license plate; – find the area of a vehicle's license plate; – refine character recognition using the signature of a vehicle's license plate; – refine character recognition using the combined results from frames in the streaming video; – obtain the result of processing. Experimental studies were conducted on the processing of images of a vehicle's license plate. During the experimental studies, the license plate of a military vehicle (Ukraine) was considered. The original image was the color image of a vehicle. The results of experimental studies are given. A comparison of the quality of character recognition in a license plate has been carried out. It was established that the improved method that uses the combined results from streaming video frames works out efficiently at the end of the sequence. The improved method that employs the combined results from streaming video frames operates with numerical probability vectors. The assessment of errors of the first and second kind in processing the image of a license plate was carried out. The total accuracy of finding the area of a license plate by known method is 61 % while the improved method's result is 76 %. It has been established that the minimization of errors of the first kind is more important than reducing errors of the second kind. If a license plate is incorrectly identified, these results would certainly be discarded at the character recognition stage.

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“…Optimization algorithms for which there are nontrivial estimates of the possible deviation of solution from optimum are called approximate or suboptimal algorithms [28][29][30].…”

Section: Development Of An Algorithm For Determining Locations For Plmentioning

confidence: 99%

Development of a genetic algorithm for placing power supply sources in a distributed electric network

Fedorchenko

Oliinyk²,

Stepanenko³

et al. 2019

EEJET

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Розглянуто проблему обґрунтування розвитку складних розподiльних систем електропостачання як iєрархiя завдань, на першому етапi якої є розв'язання завдання вибору рацiональної конфiгурацiї системи електропостачання. Розроблено математичну модель рiшення задачi оптимального розмiщення декiлькох джерел живлення i закрiплення за ними споживачiв в системi електропостачання з використанням алгоритмiв генетичного програмування. Запропонованi методи дозволяють отримати побудову оптимальної траси лiнiї електропередачi, що зв'язує споживача з джерелом живлення, з урахуванням обмежень на мiсцевостi. Розроблено модифiкацiю простого генетичного алгоритму, на основi якої реалiзовано iнформацiйну систему. Дана система вирiшує питання комбiнаторної оптимiзацiї у вiдношеннi вибору оптимальної локацiї розмiщення джерел живлення у розподiленiй електричнiй мережi. Проведена оцiнка часу розрахунку в залежностi вiд параметрiв задачi. Показано, що для задач малої i середньої розмiрностi розроблений алгоритм забезпечує мiнiмальний час рахунку. Результати рiшення задачi для конкретного прикладу демонструють перевагу генетичного пiдходу над методом повного перебору. Отриманi результати можуть бути успiшно застосованi для вирiшення проблеми оптимiзацiї розмiщення джерел живлення у розподiленiй електричнiй мережiКлючовi слова: генетичний алгоритм, джерело живлення, еволюцiйний алгоритм, система електропостачання, комбiнаторний аналiз UDC 004.93

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Development of the method for decomposition of superpositions of unknown pulsed signals using the secondorder adaptive spectral analysis

Cited by 39 publications

References 25 publications

Implementation of Evolutionary Methods of Solving the Travelling Salesman Problem in a Robotic Warehouse

Implementation of Evolutionary Methods of Solving the Travelling Salesman Problem in a Robotic Warehouse

Devising a method for processing the image of a vehicle's license plate when shooting with a smartphone camera

Development of a genetic algorithm for placing power supply sources in a distributed electric network

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Development of the method for decomposition of superpositions of unknown pulsed signals using the second­order adaptive spectral analysis

Cited by 39 publications

References 25 publications

Implementation of Evolutionary Methods of Solving the Travelling Salesman Problem in a Robotic Warehouse

Implementation of Evolutionary Methods of Solving the Travelling Salesman Problem in a Robotic Warehouse

Devising a method for processing the image of a vehicle's license plate when shooting with a smartphone camera

Development of a genetic algorithm for placing power supply sources in a distributed electric network

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Development of the method for decomposition of superpositions of unknown pulsed signals using the secondorder adaptive spectral analysis