• Title/Summary/Keyword: rough

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WEIGHTED ESTIMATES FOR ROUGH PARAMETRIC MARCINKIEWICZ INTEGRALS

  • Al-Qassem, Hussain Mohammed
    • Journal of the Korean Mathematical Society
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    • v.44 no.6
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    • pp.1255-1266
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    • 2007
  • We establish a weighted norm inequality for a class of rough parametric Marcinkiewicz integral operators $\mathcal{M}^{\rho}_{\Omega}$. As an application of this inequality, we obtain weighted $L^p$ inequalities for a class of parametric Marcinkiewicz integral operators $\mathcal{M}^{*,\rho}_{\Omega,\lambda}\;and\;\mathcal{M}^{\rho}_{\Omega,S}$ related to the Littlewood-Paley $g^*_{\lambda}-function$ and the area integral S, respectively.

Rough Set Based Interpretation of Color Emotion (러프 집합을 이용한 색채 감성의 해석)

  • Park, Eun-Jong;Kim, Sun-Yeong;Lee, Jun-Hwan
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2007.05a
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    • pp.109-113
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    • 2007
  • 본 논문은 칼라 패턴의 감성 평가를 위해 러프 집합 이론이 효과적으로 사용될 수 있음을 보여준다. 우리는 주어진 랜덤 칼라 패턴을 보여주고 사람들로 하여금 감성 평가를 하게 하여 수집된 심리학적 실험 데이터를 기반으로 VPRS(Variable Precision Rough Set) 이론을 적용, 관련 규칙들을 추출하였다. 이러한 규칙들은 벽지 등의 컬러 패턴들에 대한 근사적인 감성 평가 뿐만 아니라, 이미지 속성 공간을 언어적 이미지 스케일로 표현된 감성 공간으로 매핑 시키기 위한 적응 퍼지 시스템 등의 초기 조건으로도 사용할 수도 있다.

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Effect of Temperatrue on Sorption Hysteresis of Short Grain-Rough Rice (온도가 단립종벼의 Hysteresis에 미치는 영향)

  • 신명곤;김동철;민봉기;최홍식
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.20 no.3
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    • pp.281-283
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    • 1991
  • The effect of temperature on hysteresis of rough rice grown in Korea was investigated. The maximum hysteresis effect of Chucheongbyeo paddy rice at 5$^{\circ}C$ amounted to an average 1.7% moisure content. However, their values at $25^{\circ}C$ and 4$0^{\circ}C$ averaged 1.2% and 0.7% moisture, respectively. It may be suggested that the exteents of hysteresis are affected by the temperature of hysteresis are affected by the temperature of adsorption and desorption.

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DNAPL removal from a rough-welled single fracture with Density-surfactant-motivated method

  • Lee Hang-Bok;Ji Seong-Hun;Yeo In-Uk;Lee Gang-Geun
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2005.04a
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    • pp.215-218
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    • 2005
  • We applied the density-surfactant-motivated method to the removal of DNAPL within a rough-walled single fracture. Observations are made to compare the DNAPL residual distribution before and after the flushing of surfactant-enhanced solution or water flushing. Results show that density-motivated method with surfactant-enhanced solution effectively removed DNAPL in a single fracture.

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Prediction of Temperature, Moisture Content and Quality Changes in Stored Bulk Rough Rice (시뮬레이션에 의한 산물(散物) 저장(貯藏) 벼의 온도(溫度), 함수율(含水率) 및 품질변화(品質變化)의 예측(豫測))

  • Keum, D.H.;Kim, J.Y.
    • Journal of Biosystems Engineering
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    • v.16 no.1
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    • pp.49-59
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    • 1991
  • A numerical model was developed to predict grain temperature, moisture content, and drymatter loss of rough rice in a grain storage bin. This model simulated conduction, natural convection, and mass transfer occuring inside a storage bin. The results obtained from the study were as follows. 1. The predicticted results agreed well with the measured results. 2. Rough rice could be store safely for one year in Suweon, Dajeon, and Jingu area. 3. Aeration of 5-day was required to control grain temperature and moisture content rise early in Jun and July, respectively.

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Classification of Multi Spectral Image Data using Rough Sets (러프 집합을 이용한 다중 분광 이미지 데이터의 분류)

  • 원성현;이병성;정환묵
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1997.11a
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    • pp.205-208
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    • 1997
  • Traditionally, classification of remote sensed image data is one of the important works for image data analysis procedure. So, many researchers devote their endeavor to increasing accuracy of analysis, also, many classification algorithms have been proposed. In this paper, we propose new classification method for remote sensed image data that use rough set theory. Using indiscernibility relation of rough sets, we show that can classify image data very easily.

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Approximate Pattern Classification with Rough set (Rough 집합을 이용한 근사 패턴 분류)

  • 최성혜;정환묵
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1997.11a
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    • pp.248-251
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    • 1997
  • In this paper, We propose the concept of approximate Classification in the field of two group discriminan analysis. In our approach, an attribute space is divided into three subspaces. Two subspaces are for given two group and one subspace is for a boundary area between the two groups. We propose Approximate Pattern Classification with Rough set. We also propose learning procedures of neural networks for approximate classification. We propose two weighting methods which lead to possibility analysis and necessity analysis. We illustrate the proposed methods by numerical examples.

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Precision Profile Measurement on Roughly Processed Surfaces (거친 가공표면 형상의 고정밀 측정법 개발)

  • Kim, Byoung-Chang;Lee, Se-Han
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.7 no.1
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    • pp.47-52
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    • 2008
  • We present a 3-D profiler specially devised for the profile measurement of rough surfaces that are difficult to be measured with conventional non-contact interferometer. The profiler comprises multiple two-point-diffraction sources made of single-mode optical fibers. Test measurement proves that the proposed profiler is well suited for the warpage inspection of microelectronics components with rough surface, such as unpolished backsides of silicon wafers and plastic molds of integrated-circuit chip package.

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A Study on the Development of Navigational Safety Evaluation System in Rough Sea (황천시의 항해안전 평가시스템 개발에 관한 연구)

  • 김순갑;이충노
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 1991.06a
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    • pp.12-20
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    • 1991
  • It is of great importance for any vessel under way especially in rough sea to be maneuvered safely with proper seakeeping performance. In this paper the author aims to develope a navigational safety evaluation system in rough sea by analysis and the theory of evaluating the seakeeping performance The author suggests a computer model of navigational safety evaluation system and examined the validity of the model by computer simulation.

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APPROXIMATION OPERATORS AND FUZZY ROUGH SETS IN CO-RESIDUATED LATTICES

  • Oh, Ju-Mok;Kim, Yong Chan
    • Korean Journal of Mathematics
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    • v.29 no.1
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    • pp.81-89
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    • 2021
  • In this paper, we introduce the notions of a distance function, Alexandrov topology and ⊖-upper (⊕-lower) approximation operator based on complete co-residuated lattices. Under various relations, we define (⊕, ⊖)-fuzzy rough set on complete co-residuated lattices. Moreover, we study their properties and give their examples.