• Title/Summary/Keyword: Cellular automata (CA)

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Image Encryption using Complemented MLCA based on IBCA and 2D CAT (IBCA에 기초한 여원 MLCA와 2D CAT를 이용한 영상 암호화)

  • Nam, Tae-Hee;Kim, Seok-Tae;Cho, Sung-Jin
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.4
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    • pp.34-41
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    • 2009
  • In this paper we propose a new image encryption method which utilizes Complemented MLCA(Complemented Maximum Length Cellular Automata) based on IBCA(Intermediate Boundary CA) and 2D CAT(Cellular Automata Transform). The encryption method is processed in the following order. First, Complemented MLCA is used to create a PN (pseudo noise) sequence, which matches the size of the original image. And, the original image goes through a XOR operation with the created sequence to convert the image into Complemented MLCA image. Then, the gateway value is set to produce a 2D CAT basis function. The produced basis function is multiplied by the encrypted MLCA image that has been converted to process the encipherment. Lastly, the stability analysis and PSNR(Peak Signal to Noise Ratio) verifies that the proposed method holds a high encryption quality status.

A Traffic Flow Micro-simulation System Using Cellular Automata (CA모형을 이용한 미시적 교통류 시뮬레이션 시스템 개발에 관한 연구)

  • 조중래;고승영;김진구;김채만
    • Journal of Korean Society of Transportation
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    • v.19 no.3
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    • pp.133-144
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    • 2001
  • The purpose of this study is to develop micro simulation model for large-scale network with driver's behavior model. This study is performed for uninterrupted flow road section. And this model is developed to simulate traffic flow of the real network with unique geometric structure. The vehicle transmission and drivers' behavior model based on the exiting Cellular Automata approach.

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Implementation of Crowd Behavior of Pedestrain based AB and CA mathematical model in Intelligent Game Environment (게임환경에서 AB 와 CA 수학모델을 이용한 보행자들의 집단행동 구현)

  • Kim, Seongdong;Kim, Jonghyun
    • Journal of Korea Game Society
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    • v.19 no.6
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    • pp.5-14
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    • 2019
  • In this paper, we propose a modeling and simulation of group behavioral movement of pedestrians using Agent based and Cellular Automata model in intelligent game environment. The social behaviors of the crowds are complex and important, and based on this, the prototype game-model was implemented to show the crowd interaction on AB and CA in the game environment. Our experiment revealed the promise of group behaviour as a cost-efficient, yet accurate platform for researching crowd behaviour in risk situations with real models.

Video Encryption using Pseudo-random numbers based on CA (CA 기반의 난수열을 이용한 동영상 암호화)

  • Yun, Jae-Sik;Li, Xiaowei;Cho, Sung-Jin;Kim, Seok-Tae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.10a
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    • pp.759-761
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    • 2010
  • In this paper, we propose a video encryption method using pseudo-random numbers based on MLCA(Maximal length Cellular Automata). Firstly, we generate a basis image which is composed with pseudo-random numbers, using MLCA. Futhermore, The original video is encrypted by computing XOR operation between the basis image and each frame of original video. The video encryption is conducted in accordance with one or two rules, and is evaluated.

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Extraction and Application of Spatial Association Rules: A Case Study for Urban Growth Modeling (공간 연관규칙의 추출과 적용 - 도시성장 예측모델을 사례로 -)

  • 조성휘;박수홍
    • Journal of the Korean Geographical Society
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    • v.39 no.3
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    • pp.444-456
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    • 2004
  • Recently spatial modeling that combined GIS and Cellular Automata(CA) which are based on dynamic process modeling has been discussed and investigated. However, CA-based spatial modeling in previous research only provides the general modeling framework and environment, but lacks of providing simulation or transition rules for modeling. This study aims to propose a methodology for extracting spatial relation rules using GIS and Knowledge Discovery in Database(KDD) methods. This new methodology has great potentials to improve CA-based spatial modeling and is expected to be applied into several examples including urban growth simulation modeling.

Topology and size optimization of truss structures using an improved crow search algorithm

  • Mashayekhi, Mostafa;Yousefi, Roghayeh
    • Structural Engineering and Mechanics
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    • v.77 no.6
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    • pp.779-795
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    • 2021
  • In the recent decades, various optimization algorithms have been considered for the optimization of structures. In this research, a new enhanced algorithm is used for the size and topology optimization of truss structures. This algorithm, which is obtained from the combination of Crow Search Algorithm (CSA) and the Cellular Automata (CA) method, is called CA-CSA method. In the first iteration of the CA-CSA method, some of the best designs of the crow's memory are first selected and then located in the cells of CA. Then, a random cell is selected from CA, and the best design is chosen from the selected cell and its neighborhood; it is considered as a "local superior design" (LSD). In the optimization process, the LSD design is used to modify the CSA method. Numerical examples show that the CA-CSA method is more effective than CSA in the size and topology optimization of the truss structures.

Characterization of Hierarchical Cellular Automata (계층적 셀룰라 오토마타의 특성에 관한 연구)

  • Choi, U.S.;Cho, S.J.;Choi, H.H.
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.3
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    • pp.493-499
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    • 2008
  • Cellular Automata(CA) has been used as modeling and computing paradigm for a long time. And CA has been used to model many physical systems. While studying the models of such systems, it is seen that as the complexity of the physical system increase, the CA based model becomes very complex and becomes to difficult to track analytically. Also such models fail to recognize the presence of inherent hierarchical nature of a physical system. In this paper we give the characterization of Hierarchical Cellular Automata(HCA). Especially we analyze transition rules, characteristic polynomials and cyclic structures of HCA.

Complemented Group Cellular Automata derived from Complement Vectors (여원벡터에 의해 유도된 여원 그룹 셀룰라 오토마타에 관한 연구)

  • Cho, Sung-Jin;Hwang, Yoon-Hee;Choi, Un-Sook;Pyo, Yong-Soo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.05a
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    • pp.1063-1066
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    • 2005
  • 셀룰라 오토마타(Cellular Automata, 이하 CA)는 LFSR의 대안으로 제안되었으나 일반화와 분석이 어려워 거의 이뤄지지 않고 있다. 본 논문에서는 특별한 전이규칙을 가지는 그룹 CA에서 각각의 여원벡터에 대응하여 유도되는 여원 그룹 CA의 구조를 분석한다. 여기서 분석하는 그룹 여원 CA는 전체 상태가 그룹 CA의 최대 주기나 그것의 2배가 되는 같은 길이의 사이클들로 분리된다. 이러한 성질은 암호학에서 키 공유 프로토콜에 유용한 성질로 사용될 수 있다.

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Finding Transition Rules for Majority Problem on Cellular Automata (셀룰러 오토마타 상에서 과반수 문제의 상태전이 함수)

  • Park, Jongwoo;Wee, Kyubum
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.652-655
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    • 2018
  • 과반수 문제는 전역 문제(global problem) 문제이기 때문에 국소 정보(local information)를 이용해야 하는 셀룰러 오토마타(cellular automata; CA) 상에서 풀기 어려운 문제이다. 본 논문에서는 일차원 CA에서 과반수 문제를 푸는 CA을 찾는 방법을 제안한다. 상태전이 함수를 CA에서 일반적으로 사용되는 규칙 표(rule table)가 아닌 CMR(conditionally matching rules)로 나타내고 진화 알고리즘을 적용하였다. 제안한 방법으로 다수의 서로 다른 규칙들을 찾아낼 수 있었고 찾아낸 규칙은 이전 연구에서 찾아낸 규칙과 유사한 성능을 보여주었다. CA의 문제를 해결하는데 CMR에 진화 알고리즘을 적용하는 것이 효용성이 있음을 보였다.

Development of Lane-changing Model for Two-Lane Freeway Traffic Based on CA (Cellular Automata 기반 2차로 고속도로 차로변경모형 개발)

  • Yoon, Byoung Jo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.3D
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    • pp.329-334
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    • 2009
  • The various behaviors of vehicular traffic flow are generated through both car-following and lane-changing behaviors of vehicles. Especially lane-usage varies by lane-changing behaviors. In the area of microscopic vehicle simulation, a lane-changing model connected to a car-following model parallel is essential to generate both various traffic flows relationships and laneusages. In Korea, some studies on car-following models have been reported, but few studies for lane-changing models stay in the beginning stage. In this paper, a two-lane changing model for the simulation modeling of large freeway network is introduced. The lane-changing model is developed based on CA (Cellular Automata) model. The developed model is parallel combined with an existing CA car-following model and tested on a closed link system. The results of simulation show that the developed model generates the various behaviors of lane usage, which existing CA lane-changing models could not generate. The presented model is expected to be used for the simulation of more various freeway traffic flows.