• Title/Summary/Keyword: informational

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Ordinary Smooth Topological Spaces

  • Lim, Pyung-Ki;Ryoo, Byeong-Guk;Hur, Kul
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.12 no.1
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    • pp.66-76
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    • 2012
  • In this paper, we introduce the concept of ordinary smooth topology on a set X by considering the gradation of openness of ordinary subsets of X. And we obtain the result [Corollary 2.13] : An ordinary smooth topology is fully determined its decomposition in classical topologies. Also we introduce the notion of ordinary smooth [resp. strong and weak] continuity and study some its properties. Also we introduce the concepts of a base and a subbase in an ordinary smooth topological space and study their properties. Finally, we investigate some properties of an ordinary smooth subspace.

Closures and Interiors Redefined, and Some Types of Compactness in Ordinary Smooth Topological Spaces

  • Lee, Jeong Gon;Lim, Pyung Ki;Hur, Kul
    • Journal of the Korean Institute of Intelligent Systems
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    • v.23 no.1
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    • pp.80-86
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    • 2013
  • We give a new definition of ordinary smooth closure and ordinary smooth interior of an ordinary subset in an ordinary smooth topological space which have almost all the properties of the corresponding operators in a classical topological space. As a consequence of these definitions we reduce the additional hypotheses in the results of [1] and also generalize several properties of the types of compactness in [1].

Topicality and Focality of Contrastive Topic (대조주제의 주제성과 초점성)

  • Wee, Hae-Kyung
    • Language and Information
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    • v.14 no.2
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    • pp.47-70
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    • 2010
  • This study investigates the semantic and prosodic properties of the so-called contrastive topic. We posit two informational primitives, namely, topical feature [+-T] and focal feature [+-F], from which four different informational categories, i.e., [+T, +F], [+T, -F], [-T, +F], and [-T, -F], are yielded. It is proposed that the informational category of contrastive topic has focal property [+F] as well as topical property [+T]. Based on the semantic approach that regards the function of [+F] as identificational predication and that of [+T] as forming a semantic conditional clause, it is shown that the semantic function of contrastive topic, which is specified as [+T, +F], is the combination of these two functions, i.e., identificational predication in a semantic conditional clause. This is supported by a scrutinized exploration of the prosodic pattern of English contrastive topic.

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A Study on Driving Dual Motors with Single processor using Controller Area Network (CAN네트워크를 이용한 단일 프로세서에 의한 복수전동기 구동)

  • Lee Hong-Hee;Lee Seung-Yong;Jung Eui-Heon
    • Proceedings of the KIPE Conference
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    • 2002.07a
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    • pp.673-676
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    • 2002
  • Real time communication is very important in factory automation system using FieldBus. In this paper, we Propose the method to drive dual motors with one controller using CAN In traditional induction motor control technique, two independent Inverters are used to drive dual motors independently. In this case, two controllers are needed. Our proposed dual motors control scheme which use only one microprocessor has many advantages in the view of economic and performance compared to conventional technique.

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Visual Preference Predictors of interiors in the Informational Approach: its physical attributes and the relationships between these attributes and preference (정보적 접근방법에 의한 실내공간에서의 시각적 선호도: 예측변수들의 물리적 속성과 선호도와의 관계)

  • 노정실;김유일
    • Journal of the Korean Institute of Landscape Architecture
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    • v.27 no.1
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    • pp.11-18
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    • 1999
  • The objective of this study are to figure out the physical attributes of the three predictors in the Informational Approach: complexity, coherence, mystery and to investigate the relationships between these attributes and the preference exploratively. Visual inspection of the scenes relative to their rated levels of the predictors revealed the existence of relationship between these variables and the physical attributes. The following are the summary of the relationship between three predictors and the physical attributes: (1) The level of complexity was associated with the pattern of physical attributes which were the amount of facility, line, shape, color plant and arrangement of the visual elements. (2) The level of coherence was related with the regular arrangement of the visual elements. For example, there was certain pattern founded the color, shape, texture was applied to the various space repetitively and symmetrically. (3) The level of mystery had the relationship with the physical attributes of screen, spatial definition, distance of view, physical accessibility, radiant forest, the depth of space.

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INTUITIONISTIC FUZZY NORMAL SUBGROUP AND INTUITIONISTIC FUZZY ⊙-CONGRUENCES

  • Hur, Kul;Kim, So-Ra;Lim, Pyung-Ki
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.9 no.1
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    • pp.53-58
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    • 2009
  • We unite the two con concepts - normality We unite the two con concepts - normality and congruence - in an intuitionistic fuzzy subgroup setting. In particular, we prove that every intuitionistic fuzzy congruence determines an intuitionistic fuzzy subgroup. Conversely, given an intuitionistic fuzzy normal subgroup, we can associate an intuitionistic fuzzy congruence. The association between intuitionistic fuzzy normal sbgroups and intuitionistic fuzzy congruences is bijective and unigue. This leads to a new concept of cosets and a corresponding concept of guotient.

Interval-Valued Fuzzy Relations

  • Hur, Kur;Lee, Jeong-Gon;Choi, Jeong-Yeol
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.3
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    • pp.425-431
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    • 2009
  • By using the notion of interval-valued fuzzy relations, we forms the poset (IVFR (X), $\leq$) of interval-valued fuzzy relations on a given set X. In particular, we forms the subposet (IVFE (X), $\leq$) of interval-valued fuzzy equivalence relations on a given set X and prove that the poset (IVFE(X), $\leq$) is a complete lattice with the least element and greatest element.

Interval-Valued Fuzzy Congruences on a Semigroup

  • Lee, Jeong Gon;Hur, Kul;Lim, Pyung Ki
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.13 no.3
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    • pp.231-244
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    • 2013
  • We introduce the concept of interval-valued fuzzy congruences on a semigroup S and we obtain some important results: First, for any interval-valued fuzzy congruence $R_e$ on a group G, the interval-valued congruence class Re is an interval-valued fuzzy normal subgroup of G. Second, for any interval-valued fuzzy congruence R on a groupoid S, we show that a binary operation * an S=R is well-defined and also we obtain some results related to additional conditions for S. Also we improve that for any two interval-valued fuzzy congruences R and Q on a semigroup S such that $R{\subset}Q$, there exists a unique semigroup homomorphism g : S/R${\rightarrow}$S/G.

On the Estimation of the Empirical Distribution Function for Negatively Associated Processes

  • Kim, Tae-Sung;Lee, Seung-Woo;Ko, Mi-Hwa
    • Communications for Statistical Applications and Methods
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    • v.8 no.1
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    • pp.229-235
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    • 2001
  • Let {X$\_$n/, n$\geq$1] be a stationary sequence of negatively associated random variables with distribution function F(x)=P(X$_1$$\leq$x). The empirical distribution function F$\_$n/(x) based on X$_1$, X$_2$,....., X$\_$n/ is proposed as an estimator for F$\_$n/(x). Strong consistency and asymptotic normality of F$\_$n/(x) are studied. We also apply these ideas to estimation of the survival function.

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The Strong Laws of Large Numbers for Weighted Averages of Dependent Random Variables

  • Kim, Tae-Sung;Lee, Il-Hyun;Ko, Mi-Hwa
    • Communications for Statistical Applications and Methods
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    • v.9 no.2
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    • pp.451-457
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    • 2002
  • We derive the strong laws of large numbers for weighted averages of partial sums of random variables which are either associated or negatively associated. Our theorems extend and generalize strong law of large numbers for weighted sums of associated and negatively associated random variables of Matula(1996; Probab. Math. Statist. 16) and some results in Birkel(1989; Statist. Probab. Lett. 7) and Matula (1992; Statist. Probab. Lett. 15 ).