• 제목/요약/키워드: Cellular Automata Algorithm

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Cellular Automata and It's Applications

  • Lee, Jun-Seok;Cho, Hyun-Ho;Rhee, Kyung-Hyune
    • 한국멀티미디어학회논문지
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    • 제6권4호
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    • pp.610-619
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    • 2003
  • This paper presents a concept of cellular automata and a modular exponentiation algorithm and implementation of a basic EIGamal encryption by using cellular automata. Nowadays most of modular exponentiation algorithms are implemented by a linear feedback shift register(LFSR), but its structure has disadvantage which is difficult to implement an operation scheme when the basis is changed frequently The proposed algorithm based on a cellular automata in this paper can overcome this shortcomings, and can be effectively applied to the modular exponentiation algorithm by using the characteristic of the parallelism and flexibility of cellular automata. We also propose a new fast multiplier algorithm using the normal basis representation. A new multiplier algorithm based on normal basis is quite fast than the conventional algorithms using standard basis. This application is also applicable to construct operational structures such as multiplication, exponentiation and inversion algorithm for EIGamal cryptosystem.

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진화하는 셀룰라 오토마타 신경망의 하드웨어 구현에 관한 연구 (A Study on Implementation of Evolving Cellular Automata Neural System)

  • 반창봉;곽상영;이동욱;심귀보
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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    • pp.255-258
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    • 2001
  • This paper is implementation of cellular automata neural network system which is a living creatures' brain using evolving hardware concept. Cellular automata neural network system is based on the development and the evolution, in other words, it is modeled on the ontogeny and phylogeny of natural living things. The proposed system developes each cell's state in neural network by CA. And it regards code of CA rule as individual of genetic algorithm, and evolved by genetic algorithm. In this paper we implement this system using evolving hardware concept Evolving hardware is reconfigurable hardware whose configuration is under the control of an evolutionary algorithm. We design genetic algorithm process for evolutionary algorithm and cells in cellular automata neural network for the construction of reconfigurable system. The effectiveness of the proposed system is verified by applying it to time-series prediction.

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Potts Automata를 이용한 영상의 잡음 제거 (A Potts Automata algorithm for Reducing Image Noise)

  • 정현진;김석태
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 추계종합학술대회 논문집(4)
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    • pp.81-84
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    • 2000
  • Cellular automata are discrete dynamical systems whose behaviour is completely specified in terms of a local relation. If cellular automata convergence to fixed points, then it can be used to image processing. From the generalized Potts automata point of view, we propose in this paper a cellular automata technique for reducing image noise. To minimize blurring effect, an algorithm based on neighborhood median computation is Preferred. Experimental results are reported.

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셀룰라 오토마타를 이용한 블록 암호 알고리즘 (A Block Cipher Algorithm based on Cellular Automata)

  • 이준석;장화식;이경현
    • 한국멀티미디어학회논문지
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    • 제5권6호
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    • pp.665-673
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    • 2002
  • 본 논문에서는 LFSR(Linear Feedback Shift Register)의 대안으로 소개되고 있는 셀룰라 오토마타(CA: Cellular Automata)를 소개하고 이를 이용한 새로운 블록 암호 알고리즘을 제안한다. 제안된 블록 암호 알고리즘의 성능과 안전성 평가를 위해 쇄도효과와 수행속도에 대해 표준 블록 암호 알고리즘과 비교를 수행하고 또한 차분 분석법(Differential Cryptanalysis)에 대하여 제안 알고리즘에 대한 축소된 버전으로 평가를 수행한다. 부가적으로 제안 암호 알고리즘의 출력 비트열에 대하여 FIPS PUB 140-2(Federal Information Processing Standards publication 140-2)의 랜덤 수열에 대한 통계적 검정을 수행함으로써 출력 수열이 랜덤함을 보인다.

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Cellular Automata Transform based Invisible Digital Watermarking in Middle Domain for Gray Images

  • Li, Xiao-Wei;Kim, Seok-Tae
    • Journal of information and communication convergence engineering
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    • 제9권6호
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    • pp.689-694
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    • 2011
  • Cellular automata are discrete dynamical systems, which provide the basis for the synthesis of complex emergent behavior. This paper proposes a new algorithm of digital watermarking based on cellular automata transform (CAT). The idea of two-dimensional CAT is introduced into the algorithm. After the original image is disassembled with 2D CAT, the watermark information is embedded into the Middle-frequency of the carrier picture. Cellular automata have a huge number of combinations, such as gateway values, rule numbers, initial configuration, boundary condition, etc. Using CAT, the robustness of the watermark will be tremendous strengthened as well as its imperceptibility. Experimental results show that this algorithm can resist some usual attacks such as compression, sharpening and so on. The proposed method is robust to different attacks and is more security.

Potts Automata를 이용한 영상의 잡음 제거 및 에지 주줄 (A Potts Automata algorithm for Noise Removal and Edge Detection)

  • 이석기;김석태;조성진
    • 한국통신학회논문지
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    • 제28권3C호
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    • pp.327-335
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    • 2003
  • Cellular Automata는 자연계의 현상 현상이 국부적인 관계에 의해 완전히 표현될 수 있는 이상적인 동적 시스템이다. 본 논문에서는 Cellular Automata의 특성을 가지는 Potts Automata를 이용한 잡음 제거 및 에지 추출 알고리즘을 제안한다. 본 방법은 대상영상에 대한 특징을 그대로 보존하면서 천이규칙에 따라 국부적으로 밝기값의 차이를 증가 및 감소시킨다. 이러한 Automata는 순차적이고 병렬적인 움직임을 가지고 Lyapunov 함수를 만족한다. 제안한 천이규칙은 랜덤잡음을 가진 대상영상에 대해 빠른 수련속도를 가지고 안정적인 결과를 나타낸다. 실험을 통해 본 방법의 유효성을 확인한다.

LEAF CELLULAR AUTOMATA

  • Okayama, T.;Murase, H.
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.II
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    • pp.295-299
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    • 2000
  • We have developed bio-system derived algorithm: Leaf Cellular Automata(LCA). LCA are one form of cellular automata. LCA are reffered to activity of a leaf. LCA have four layers: the "CO$_2$ Layer", the "Stoma Layer", the "Starch Layer" and the "Water Layer". In order to evaluate this optimization algorithm, we used a pattern matching problem.

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A hybrid approach of generative design methods for designing tall-buildings form

  • Tofighi Pouria;Ekhlassi, Ahmad;Rahbar, Morteza
    • Advances in Computational Design
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    • 제7권2호
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    • pp.153-171
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    • 2022
  • The present study aimed to find a way to create forms that can simultaneously meet several architectural requirements by applying generative design methods specifically focused on cellular automata. In other words, it is tried to find various forms of architecture that all have common features. Because of the useful features of cellular automata, we decided to use it to generate various forms, but make a relation between the discrete nature of cellular automata and the continuous nature of architecture, was the major problem of our project. To achieve this goal, three consecutive stages were designed. In the first stage, independent variables including the location of the building, the height of the building, and the building area were considered as the inputs of the model. In the second stage, after locating the building, the building's main shell was designed as a hidden geometry for the cellular automata and then the cellular automata were determined based on this shell. The main result of this research is establishing a logical relationship between the discrete geometry of the cellular automata and the continuous search space such that it creates various optimized forms. Although we specify the site plan of this project at Iran-Tehran, this research can be generalized to various design sites as well as different projects, allowing the architectsto alter the cell dimensions, cell density, etc., based on their opinion and project needs.

CA 모델을 통한 동적재결정 예측에 있어서의 재료상수 선정 (Determination of Materials Constants for Dynamic Recrystallization Prediction by Cellular Automata Modeling)

  • ;;이경훈;강경필
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2008년도 추계학술대회 논문집
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    • pp.288-291
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    • 2008
  • Physics based Cellular Automata model is developed and implemented into FEM code. CA model can predict microstructure evolution based on physical phenomena, such as hardening, recovery and recrystallization. This paper outlines the methodology to determine the materials constants for these different phenomena from simpler measurements.

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