• Title/Summary/Keyword: classification criterion

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CIS CODES OVER 𝔽4

  • Kim, Hyun Jin
    • Korean Journal of Mathematics
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    • v.28 no.2
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    • pp.285-294
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    • 2020
  • We study the complementary information set codes (for short, CIS codes) over 𝔽4. They are strongly connected to correlation-immune functions over 𝔽4. Also the class of CIS codes includes the self-dual codes. We find a construction method of CIS codes over 𝔽4 and a criterion for checking equivalence of CIS codes over 𝔽4. We complete the classification of all inequivalent CIS codes of length up to 8 over 𝔽4.

OSCILLATORY AND ASYMPTOTIC BEHAVIOR OF SECOND ORDER NONLINEAR DIFFERENTIAL INEQUALITY WITH PERTURBATION

  • Zhang, Quanxin;Song, Xia
    • Journal of applied mathematics & informatics
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    • v.29 no.1_2
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    • pp.475-483
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    • 2011
  • In this paper, we study the oscillatory and asymptotic behavior of a class of second order nonlinear differential inequality with perturbation and establish several theorems by using classification and analysis, which develop and generalize some known results.

Development of Process Capability Table and its Application (공정능력지수표(工程能力指数表)의 개발(開發) 및 그 응용(應用))

  • 송서일;황의철
    • Journal of Korean Institute of Industrial Engineers
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    • v.11 no.2
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    • pp.189-194
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    • 1985
  • Process Capability Index is defined as a ratio between predetermined tolerance and natural tolerance of existent process ($6{\sigma}$). And it is widely used as a performance measure for quality control activities, and a criterion for process classification. This paper developed a unity-fixed process capability table for convenience to calculate process capability and showed how to use it.

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A Design Method for Weighted Order Statistic Filters Based on the Perceotron Algorithm (Perceptron 알고리즘을 이용한 가중 순서 통게 필터의 설계)

  • 정병장;이용훈
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.6
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    • pp.1-6
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    • 1993
  • In this paper, we observe that the design of optimal weighted order statistic(WOS) filters minimizing the mean absolute error criterion can be though of as a two-class linear classification problem. Based on this observation, the perceptron algorithm is applied to design WOS filters. It is shown, through experiments, that the perceptron algorithm can find optimal or near optimal WOS filters in practical situations.

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A Method for Measuring the Difficulty of Music Scores

  • Song, Yang-Eui;Lee, Yong Kyu
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.4
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    • pp.39-46
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    • 2016
  • While the difficulty of the music can be classified by a variety of standard, conventional methods are classified by the subjective judgment based on the experience of many musicians or conductors. Music score is difficult to evaluate as there is no quantitative criterion to determine the degree of difficulty. In this paper, we propose a new classification method for determining the degree of difficulty of the music. In order to determine the degree of difficulty, we convert the score, which is expressed as a traditional music score, into electronic music sheet. Moreover, we calculate information about the elements needed to play sheet music by distance of notes, tempo, and quantifying the ease of interpretation. Calculating a degree of difficulty of the entire music via the numerical data, we suggest the difficulty evaluation of the score, and show the difficulty of music through experiments.

Seafloor Classification Based on the Texture Analysis of Sonar Images Using the Gabor Wavelet

  • Sun, Ning;Shim, Tae-Bo
    • The Journal of the Acoustical Society of Korea
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    • v.27 no.3E
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    • pp.77-83
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    • 2008
  • In the process of the sonar image textures produced, the orientation and scale factors are very significant. However, most of the related methods ignore the directional information and scale invariance or just pay attention to one of them. To overcome this problem, we apply Gabor wavelet to extract the features of sonar images, which combine the advantages of both the Gabor filter and traditional wavelet function. The mother wavelet is designed with constrained parameters and the optimal parameters will be selected at each orientation, with the help of bandwidth parameters based on the Fisher criterion. The Gabor wavelet can have the properties of both multi-scale and multi-orientation. Based on our experiment, this method is more appropriate than traditional wavelet or single Gabor filter as it provides the better discrimination of the textures and improves the recognition rate effectively. Meanwhile, comparing with other fusion methods, it can reduce the complexity and improve the calculation efficiency.

Component Classification and Retrieval using Clustering Algorithm (클러스터링 알고리즘을 이용한 컴포넌트 분유 및 검색)

  • 김귀정
    • The Journal of the Korea Contents Association
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    • v.2 no.3
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    • pp.87-95
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    • 2002
  • This study proposes method to classify components in repository and retrieve them introducing the idea of domain orientation for successful reuse of components. About components of existing systems design pattern was applied to, us suggest component classification method to compare structural similarity between each component in relevant domain and criterion pattern. Component reusability and portability between platforms can be increased through classifying reusable components by function and giving their structures with diagram. Efficiency of component reuse can be raised because the most appropriate component to query and similar candidate components and provided in priority by use of E-SARM algorithm.

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Estimation of pattern classification vigilance parameter using neural network

  • Son, Jun-Hyug;Seo, Bo-Hyeok
    • Proceedings of the KIEE Conference
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    • 2004.05a
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    • pp.95-97
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    • 2004
  • This paper estimates Adaptive Resonance Theory 1(ART1) as a vigilance parameter of pattern clustering algorithm. Inherent characteristics of the model are analyzed. In particular the vigilance parameter ${\rho}$ and its role in classification of patterns is examined. Our estimates show that the vigilance parameter as designed originally does not necessarily increase the number of categories with its value but can decrease also. This is against the claim of solving the stability-plasticity dilemma. However, we have proposed a modified vigilance parameter estimate criterion which takes into account the problem of subset and superset patterns and stably categorizes arbitrarily many input patterns in one list presentation when the vigilance parameter is closer to one.

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A Study on the Classification Criteria of Climatic Zones in Korean Building Code Based on Heating Degree-Days (난방도일 기반 대한민국 행정구역별 기후존 구분 기준 정립에 관한 연구)

  • Noh, Byeong Il;Choi, Jaewan;Seo, Donghyun
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.27 no.11
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    • pp.574-580
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    • 2015
  • Climatic zone in building code is an administrative district classification reflecting regional climatic characteristics. Use of Degree-Days is a fundamental method that can be used in various building design codes, analysis of building energy performance, and establishment of minimum thermal transmittance of building envelopes. Many foreign countries, such as the USA, the EU, Australia, Italy, India, China, etc., have already adapted climatic zone classification with degree-days, precipitation or amount of water vapor based on the characteristics of their own country's climate. In Korea, however, the minimum requirements for regional thermal transmittance are classified separately for the Jungbu area, Nambu area and Jeju Island with no definite criterion. In this study, degree-days of 255 Korean cities were used for climatic zone classification. Outdoor dry-bulb temperature data from the Korea Meteorological Administration for 1981~2010 was used to calculate degree-days. ArcGIS and the calculated degree-days were utilized to analyze and visualize climatic zone classification. As a result, depending on the distribution and distinctive differences in degree-days, four climatic zones were derived : 1) Central area, 2) Mountain area of Gyeonggi and Gangwon provinces, 3) Southern area, and 4) Jeju Island. The climatic zones were suggested per administrative district for easy public understanding and utilization.

Estimating the Spatial Distribution of Satellite Image Classification Error Using Index of Spatial Distribution (공간분포지표를 이용한 위성영상 분류오차의 공간적 분포 평가)

  • 이병길;김용일;어양담
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.17 no.2
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    • pp.129-136
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    • 1999
  • The quality of image classification results is not always uniform over entire image. Thus, this study proposes the concept of ISDd (Index of Spatial Distribution by distance) and ISDs (ISD by scatteredness) for the evaluation of unevenness of result quality, and spatial distribution of satellite image classification errors. The ISDd is indexed mean distance of misclassified pixels and the ISDs is statistical indicator of scatteredness of misclassified pixels. In this study, the ISDd and the ISDs are calculated and evaluated for some satellite images, then misclassified area is extracted and the reasons of misclassification are examined. As the result of this study, using both the ISDd and the ISDs, the basis of decision on adoption/rejection of classification results is offered at sub-image level by evaluation of the local aggregation of misclassified pixels. Using Index of Spatial Distribution. as well as overall classification accuracy, users can understand the spatial distribution of misclassified pixels, and can have the additional criterion of the judgement on suitability and reliability of classification results.

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