2019
DOI: 10.15547/ictte.2019.06.025
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Capsulal Approach to Significance of Ethnic Embroidery in Formation of Modern Wardrobe

Abstract: The problem of capsular method in forming of modern clothes on the basis of ukrainian basic embroidery was investigated. Theoretically proved composition of geometrical ornaments in combinations of tunes of the ornament. The schemes of transformations in modifications of variants of reports of ukrainian national embroidery were created. The investigation of isomorphic filling using the technique “cross” in ornaments in the style “modern” according to zones of usage was carried out. The capsules of representati… Show more

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Cited by 1 publication
(5 citation statements)
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“…Using the algorithm in reference [4], only the activation intensity obtained in the second of the five iterations is consistent with the actual results, and the accuracy is 20%. e activation intensity obtained by the algorithm in [5] in the third and fourth iterations is the same as the actual results, and the accuracy is 40%. Comparing the test results of three different algorithms, it can be seen that the recognition accuracy of traditional national clothing embroidery feature recognition algorithm based on the doublelayer model is high.…”
Section: Analysis Of Experimental Resultsmentioning
confidence: 78%
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“…Using the algorithm in reference [4], only the activation intensity obtained in the second of the five iterations is consistent with the actual results, and the accuracy is 20%. e activation intensity obtained by the algorithm in [5] in the third and fourth iterations is the same as the actual results, and the accuracy is 40%. Comparing the test results of three different algorithms, it can be seen that the recognition accuracy of traditional national clothing embroidery feature recognition algorithm based on the doublelayer model is high.…”
Section: Analysis Of Experimental Resultsmentioning
confidence: 78%
“…On the MATLAB simulation platform, Turbo C + + 3.0 is used to develop software programming, and the proposed algorithm is used to detect the effectiveness of pattern geometric pattern recognition. In order to visually present the recognition effect of the proposed algorithm, the proposed algorithm is compared with the algorithm in [4] and the algorithm in [5]. By identifying a pattern with a large number of geometric pattern features, the effectiveness of the proposed algorithm is detected.…”
Section: Analysis Of Experimental Resultsmentioning
confidence: 99%
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