Cellular automata : 14th International Conference on Cellular Automata for Research and Industry, ACRI 2020, Lodz, Poland, December 2-4, 2020 : proceedings /

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Bibliographic Details
Meeting name:International Conference on Cellular Automata for Research and Industry (14th : 2020 : Online)
Imprint:Cham : Springer, [2021]
Description:1 online resource (283 pages).
Language:English
Series:Lecture notes in computer science ; 12599
LNCS sublibrary: SL1. Theoretical computer science and general issues
Lecture notes in computer science ; 12599.
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12610797
Hidden Bibliographic Details
Varying Form of Title:ACRI 2020
Other authors / contributors:Gwizdałła, Tomasz M., editor.
Manzoni, Luca, editor.
Sirakoulis, Georgios Ch., editor.
Bandini, S. (Stefania), 1956- editor.
Podlaski, Krzysztof, editor.
ISBN:9783030694807
3030694801
9783030694791
Digital file characteristics:text file
PDF
Notes:International conference proceedings.
Conference held online due to the COVID-19 pandemic.
Includes author index.
Description based upon print version of record.
Summary:This book constitutes the refereed proceedings of the 14th International Conference on Cellular Automata for Research and Industry, ACRI 2020, which took place in Lodz, Poland, during December 2-4, 2020. The 24 full and 3 short papers presented in this volume were carefully reviewed and selected from 40 submissions. They were organized in topical sections named: theory and cryptography, modeling and simulation, and disease spreading dynamics.
Other form:Print version: Gwizdałła, Tomasz M. Cellular Automata Cham : Springer International Publishing AG,c2021 9783030694791
Standard no.:10.1007/978-3-030-69480-7
Table of Contents:
  • Theory and Cryptography
  • A Cellular Automaton that computes Shortest Paths in Grid Graph
  • Strengthening of ACORN Authenticated Cipher by using Cellular Automata
  • Prevention of Fault Attacks in ASCON Authenticated Cipher using Cellular Automata
  • Detection of topology changes in dynamical system: an information theoretic approach
  • Observability of Affine Cellular Automaton through Mobile Sensors
  • One-Dimensional Pattern Generation by Cellular Automata
  • Exploring Semi-bent Boolean Functions Arising from Cellular Automata
  • EnCash: an Authenticated Encryption scheme using Cellular Automata
  • High Order Cellular Automata for Edge Detection: a Preliminary Study
  • PENTAVIUM - Potent Trivium-like Stream Cipher Using Higher Radii Cellular Automata
  • Modeling and Simulation
  • Blockchain smart contract for cellular automata-based energy sharing
  • Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition
  • Control of 3D Cellular Automata via Actuator and space Attributes: Application to fires forest
  • The Second Order CA-based Multiagent Systems with Income Sharing
  • Parameter adjustment of a bio-inspired coordination model for swarm robotics using evolutionary optimisation
  • Covering the Space with Sensor Tiles
  • Implementation of Cellular Automata using Graphene Nanoribbons with Magnetic Contacts.-A Customized Assessment Tool based on Cellular Automata for the Visitability of an Urban Environment
  • Time discretization in pedestrian dynamics simulations by discrete-continuous model
  • DESERTICAS, a software to simulate desertification based on MEDALUS and CA
  • Double diffusive mixed convection with thermodiffusion effect in a driven cavity by lattice Boltzmann method
  • Logical Gates on Gliders in Restricted Space Domain Cellular Automata
  • Modeling Carbon Dioxide Dispersion Indoors: A Cell-DEVS Experiment
  • Disease Spreading Dynamics
  • Using Cell-DEVS to Model the Spread of COVID-19
  • The disease spreading analysis on the grouped network
  • Epidemic models with restricted circulation and social distancing on some network topologies
  • Preliminaries on a stochastic cellular automaton based framework for studying the population dynamics of COVID-19. .