• Title/Summary/Keyword: nongroup

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Some Properties of One Dimensional Linear Nongroup Cellular Automata over GF(2) (GF(2)상에서 1차원 Linear Nongroup CA 특성에 관한 연구)

  • 조성진;최언숙;김한두
    • Journal of Korea Multimedia Society
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    • v.4 no.1
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    • pp.91-95
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    • 2001
  • We investigate some properties of one dimensional linear nongroup cellular automata that have nonreachable states over GF(2). Specially we show interesting relationships between th states in a nonzero tree corresponding to each level state in the 0-tree.

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The relationship between the 0-tree and other trees in a linear nongroup cellular automata

  • Cho, Sung-Jin
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.5 no.1
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    • pp.1-10
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    • 2001
  • We investigate the relationship between the 0-tree and other trees in linear nongroup cellular automata. And we show that given a 0-basic path of 0-tree and a nonzero attractor ${\alpha}$ of a multiple attractor linear cellulara automata with two predecessor we construct an ${\alpha}$-tree of that multiple attractor linear cellular automata.

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Analysis of the behavior of complemented TPNCA with complement vector as nonzero state in the 0-tree of the linear TPNCA (선형 TPNCA의 0-트리의 0이 아닌 상태를 여원벡터로 갖는 여원 TPNICA의 행동분석)

  • 조성진;김한두;최언숙;허성훈;고귀자;황윤희
    • Proceedings of the Korea Multimedia Society Conference
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    • 2002.05d
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    • pp.1127-1132
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    • 2002
  • LFSR보다 CA가 랜덤성이 우수한 패턴들을 효율적으로 생성함이 알려지면서 그 응용분야가 점차적으로 확대되어가고 있다. Nongroup CA는 해쉬함수의 생성, 암호알고리즘, 이미지 압축 등에 응용되고 있다. 그러나 CA가 생성하는 패턴의 분석이 용이하지 못하였다. 본 논문에서는 선형 nongroup CA의 일반적인 성질과 여원 벡터가 선형 nongroup CA의 0-트리의 0이 아닌 상태인 경우 이로부터 유도되는 여원 TPNCA의 상태들의 행동을 분석하였다.

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Analysis of the Behavior of Complemented TPNCA Derived from a Linear TPNCA (선형 TPNCA로부터 얻어지는 여원 TPNCA의 행동분석)

  • 조성진;최언숙;황윤희;김한두;허성훈
    • Journal of Korea Multimedia Society
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    • v.6 no.3
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    • pp.549-555
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    • 2003
  • CA is cost-effective to generate pseudorandom patterns than LFSR. Based on the effectiveness of a CA based pseudorandom pattern generator, CA have been employed successfully in several applications. Especially Nongroup CA is applied to efficient hash function generation, cryptography and image compression. In this paper we analyze the properties of TPNCA and by using basic paths in the 0-tree of a linear TPNCA we analyze the structure of the state-transition graph. Also by showing the structure of the complemented CA which have the acyclic state of the 0-tree as the complement vector is isomorphic to the structure of the original TPNCA, we reduce the time in analyzing the CA-states.

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Two Predecessor Nongroup Cellular Automata (두 개의 직전자를 갖는 Nongroup CA)

  • Cho, Sung-Jin;Choi, Un-Sook;Kim, Han-Doo;Hwang, Yoon-Hee;Kim, Jin-Gyoung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.06a
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    • pp.423-426
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    • 2007
  • In this paper, we propose an algorithm for finding 90/150 Two Predecessor Nongroup Cellular Automata(TPNCA). Especially, we synthesize TPNCA for the minimal polynomial whose type is of the form xp(x) or x(x+1)p(x) using the proposed algorithm which is useful to study pseudorandom number generation, where p(x) is some primitive polynomial. Also we synthesize Two Predecessor Single Attractor CA and Two Predecessor Multiple Attractor CA which are useful to study hashing.

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The Analysis of State-Transition of SACA over GF(2p) (GF(2p) 위에서의 SACA의 상태전이 분석)

  • Cho Sung-Jin;Hwang Yoon-Hee;Kim Han-Doo;Pyo Yong-Soo;Choi Un-Sook
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.15 no.2
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    • pp.105-111
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    • 2005
  • Though GF(2) CA can only handle data with bit units GF(2p) CA can handle data with units more than bit units. In this paper we analyze the state-transition of nongroup cellular automata(CA) with a single attractor over GF(2p). And we propose the constructing method the state-transition diagram of a linear SACA over GF(2p) by using the concept of basic path. Also we propose the state-transition diagram of the nonlinear complemented SACA by using the state-transition diagram of a linear SACA.

Generation of Pattern Classifiers Based on Linear Nongroup CA

  • Choi, Un-Sook;Cho, Sung-Jin;Kim, Han-Doo
    • Journal of Korea Multimedia Society
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    • v.18 no.11
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    • pp.1281-1288
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    • 2015
  • Nongroup Cellular Automata(CA) having two trees in the state transition diagram of a CA is suitable for pattern classifier which divides pattern set into two classes. Maji et al. [1] classified patterns by using multiple attractor cellular automata as a pattern classifier with dependency vector. In this paper we propose a method of generation of a pattern classifier using feature vector which is the extension of dependency vector. In addition, we propose methods for finding nonreachable states in the 0-tree of the state transition diagram of TPMACA corresponding to the given feature vector for the analysis of the state transition behavior of the generated pattern classifier.

Analysis of 90/150 MACA derived from 90/150 SACA (90/150 SACA로부터 유도된 90/150 MACA의 분석)

  • Cho, S.J.;Choi, U.S.;Kim, H.D.;Hwang, Y.H.;Kim, J.G.;Kim, B.S.
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.05a
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    • pp.264-267
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    • 2008
  • Many researchers have studied synthesis method of 90/150 group CA. However, there is a lack of researches for synthesis method of 90/150 nongroup CA. In this paper we report some interesting properties of 90/150 multiple-attractor CA in which all of the cycles are of unit length. 90/150 multiple-attractor CA is a class of nongroup CA. And we propose a construction of 90/150 single-attractor CA. Also we construct 90/150 multiple-attractor CA derived from 90/150 single-attractor CA.

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Reachable table of nonlinear cellular automata (비선형 셀룰라오토마타의 도달가능표)

  • Kwon, Sook-Hee;Cho, Sung-Jin;Choi, Un-Sook;Kim, Han-Doo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.5
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    • pp.593-598
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    • 2015
  • Non-linear cellular automata is difficult to analyze mathematically than linear cellular automata. So it is difficult to identify reachable states and attractors of nongroup non-linear cellular automata than nongroup linear cellular automata. In this paper, we propose a new reachable table to overcome these problems. We can see the next state for all the states of the non-linear cellular automata by the proposed reachable table. In addition, we can identify reachable states and attractors by the reachable table.