Article
Computer Science, Information Systems
Basil Ibrahim, Eimad Abusham, Kashif Zia
Summary: This paper presents a method for image scrambling using cellular automata and Gray Code equivalent values. By replacing pixel intensities and employing Conway's Game of Life with OTCA rule, the proposed method can effectively scramble image content. It shows superior results compared to other techniques.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Zubair Jeelani, Fasel Qadir, Gulnawaz Gani
Summary: Advancements in communication and storage technologies have increased bandwidth and storage capacities, but efficient resource utilization remains important. Compression techniques can help save network bandwidth and data storage space.
MULTIMEDIA SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Peter D. Turney
Summary: Conway's Game of Life is a well-known cellular automaton that is considered a classic model of emergence and self-organization, and is believed to be Turing-complete and capable of simulating a universal constructor. The challenge faced is to organize a large family of semi-totalistic cellular automata to make it easier to find interesting automata and understand their relationships. Researchers have proposed different methods for organizing this large family, aiming to locate hidden gems within it.
Article
Engineering, Electrical & Electronic
Orestis Liolis, Georgios Ch. Sirakoulis, Andrew Adamatzky
Summary: Quantum-dot Cellular Automata (QCA) technology is seen as a promising solution for issues beyond Moore's law and von Neumann's computing architecture, providing high performance and low energy consumption. The paper focuses on implementing the Game of Life (GoL) in QCA technology, introducing a novel fault-tolerant approach in a programmable crossbar architecture. The design offers QCA circuit designers a wide range of applications and demonstrates the complexity of GoL rules and structures through performance evaluation and simulation.
MICROELECTRONICS JOURNAL
(2021)
Article
Computer Science, Artificial Intelligence
Eric Pena, Hiroki Sayama
Summary: Cellular automata, particularly John Horton Conway's Game of Life, are known for their ability to generate complex global patterns from simple local rules. Life remains the most parsimonious among similarly classified Life-like rules, and higher density Life-like rules exhibit a distinct concave density-complexity relationship, suggesting an optimal complexity candidate. This study highlights the role of Life in maintaining complexity in 2D CA for low- and high-density regimes.
Article
Computer Science, Interdisciplinary Applications
Mohammad Mehdi Daliri Khomami, Mohammad Reza Meybodi, Reyhaneh Ameri
Summary: The goore game (GG) is a model for collective decision making under uncertainty that can be resolved in a distributed manner, while the cellular goore game (CGG) is an extension of GG used for finding maximum clique in networks. In CGG, players independently select their actions based on gains and losses from adjacent referees without knowledge of other players' actions or rewards/penalties. The research shows the potential of CGG for finding maximum clique in social networks.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2022)
Article
Materials Science, Multidisciplinary
Brian Kent, Sarah Racz, Sanjit Shashi
Summary: This article investigates the delocalization of quantum information in many-body systems and uses quantum cellular automata models for simulation. The study reveals that these models break ergodicity, showing quantum scarring. It is also found that the time scale of delocalization increases with the local Hilbert space dimension and follows a specific combinatorial pattern. Additionally, the study demonstrates that quantum scarring is mostly suppressed in semiclassical-chaotic systems, indicating their higher ergodicity.
Article
Computer Science, Information Systems
Joel Reyes, Francisco Garcia, Maria Elena Larraga, Javier Gomez, Luis Orozco-Barbosa
Summary: Wireless sensor networks (WSNs) are widely used in various applications and it is important to develop energy-efficient routing protocols. This paper proposes an energy-aware routing method based on the Game of Life cellular automaton, which achieves homogeneous energy consumption and extends the network lifetime by considering factors such as residual energy, number of active neighbors, and a sleep schedule. Simulation results show that the proposed method effectively balances energy consumption rate and improves network lifetime compared to previous research works.
Article
Computer Science, Hardware & Architecture
Reyhaneh Ameri, Mohammad Reza Meybodi, Mohammad Mehdi Daliri Khomami
Summary: The Goore Game is a model for collective decision-making that can be resolved in a distributed manner without communication between players. The Cellular Goore Game is a network of Goore Games where each node acts as a referee in the network. The behavior of different network configurations is studied, and novel QoS control algorithms for clustered WSNs are proposed based on CGG.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Computer Science, Information Systems
Reyhaneh Ameri, Mohammad Reza Meybodi
Summary: A blockchain is a distributed general ledger that records cryptographic transactions after authentication using consensus algorithms. AI and blockchain have gained significant attention and growth in recent years, and applying AI to solve blockchain challenges can yield fascinating results. Cognitive blockchain utilizes AI to improve performance and overcome challenges.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Zubair Jeelani, Fasel Qadir
Summary: This paper implements and analyzes different cellular automaton-based image scrambling techniques to compare their performance in terms of gray difference degree (GDD). The study also evaluates the effects of different non-quiescent state ratios in the initial CA configuration and varying image sizes on GDD using these techniques. The robustness of all the techniques is assessed through correlation coefficient analysis and number of pixels change rate.
Article
Mathematics, Interdisciplinary Applications
Javier E. Contreras-Reyes
Summary: Conway's Game of Life is a computational model inspired by biology that can simulate complex natural phenomena. By connecting GoL to the concept of entropy through the MaxNSEnt principle, a general Zipf's law is derived, with Lerch distribution and Zipf, Zipf-Mandelbrot, Good, and Zeta distributions as special cases.Additionally, the Zeta distribution is linked to the famous golden number, and the Good distribution shows the best performance in log-log linear regression models for individual cell population in GoL simulations.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Engineering, Electrical & Electronic
Mohammad N. Zaqumi, Jawad Yousaf, Mohamed Zarouan, Mohammed A. Hussaini, Hatem Rmili
Summary: This paper introduces a novel design of low-profile fractal chipless tags with unique electromagnetic responses, designed using cellular automata technique for randomness. Simulated in CST Microwave Studio, the tags exhibit good coding capacities, spatial capacities, and spectral capacities, making them suitable for secure RFID system development.
APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL
(2021)
Article
Computer Science, Information Systems
Barbara Wolnik, Maciej Dziemianczuk, Bernard De Baets
Summary: In this paper, the authors investigate non-uniform elementary cellular automata and their relationship with number conservation. They provide a comprehensive characterization of number-conserving cellular automata on finite grids with both periodic and null boundary conditions. The obtained characterization allows for the enumeration of all number-conserving non-uniform elementary cellular automata, revealing a surprising connection to the Fibonacci sequence.
INFORMATION SCIENCES
(2023)
Article
Engineering, Mechanical
C. Correia Ramos, Nada El Bouziani, Mouhaydine Tlemcani, Sara Fernandes
Summary: In this study, deterministic and probabilistic cellular automata are used to study and describe patterns in material blocks, with a focus on fracture-like patterns. The distribution of the internal structure is obtained using probabilistic cellular automata, and different methods of combining these patterns into a final one are discussed. Refinement techniques are introduced to improve the probability distributions and adjust the behavior of the cellular automata rules.
NONLINEAR DYNAMICS
(2023)
Article
Computer Science, Information Systems
Jamal Said, Hazem Hiary
MULTIMEDIA TOOLS AND APPLICATIONS
(2016)
Article
Computer Science, Information Systems
Sawsan Hiary, Iyad Jafar, Hazem Hiary
MULTIMEDIA TOOLS AND APPLICATIONS
(2017)
Article
Engineering, Electrical & Electronic
Hazem Hiary, Rawan Zaghloul, Aryaf Al-Adwan, Moh'd B. Al-Zoubi
SIGNAL IMAGE AND VIDEO PROCESSING
(2017)
Article
Computer Science, Hardware & Architecture
Hazem Hiary, Rawan Zaghloul, Moh'd Belal Al-Zoubi
Article
Computer Science, Artificial Intelligence
Hazem Hiary, Heba Saadeh, Maha Saadeh, Mohammad Yaqub
IET COMPUTER VISION
(2018)
Article
Biochemistry & Molecular Biology
Alia Madain, Abdel Latif Abu Dalhoum, Azzam Sleit
Article
Computer Science, Information Systems
Rawan Zaghloul, Hazem Hiary, Moh'd Belal Al-Zoubi
MULTIMEDIA TOOLS AND APPLICATIONS
(2020)
Article
Computer Science, Artificial Intelligence
Shatha Awawdeh, Hossam Faris, Hazem Hiary
Summary: Missing data is a significant problem in knowledge extraction, and this paper proposes a new approach that uses evolutionary algorithms to evaluate the usefulness of data imputation for prediction model performance. The method selects the best subset of incomplete features that can enhance the learning process and maximize the prediction power. The proposed method outperforms traditional imputation methods and other evolutionary-based imputation methods in experiments.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Alfonso Ortega, Julian Fierrez, Aythami Morales, Zilong Wang, Marina de la Cruz, Cesar Luis Alonso, Tony Ribeiro
Summary: The study highlights the importance of machine learning in biometrics and personal information processing, focusing on the role of ILP and LFIT techniques in providing explanatory systems and their application in fair recruitment scenarios. By testing the performance of LFIT on real dataset, the authors verified its applicability in different domains and machine learning paradigms.
Article
Computer Science, Information Systems
Rawan Zaghloul, Hazem Hiary
Summary: This paper proposes an image processing model for enhancing underwater images, which analyzes color characteristics and selects suitable enhancement steps to improve contrast and chromaticity. The experimental results show that the proposed model achieves good contrast, natural colors, and superior image quality compared to other methods, while maintaining efficiency and simplicity.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Alfonso Ortega, Julian Fierrez, Aythami Morales, Zilong Wang, Tony Ribeiro
Summary: Machine learning methods are increasingly important in biometrics and personal information processing, requiring white-box explanations for human comprehension. Inductive Logic Programming is a method aimed at automatically learning declarative theories about data processes.
2021 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION WORKSHOPS (WACVW 2021)
(2021)
Article
Computer Science, Software Engineering
Rawan I. Zaghloul, Hazem Hiary
Summary: The paper proposes a single image fog removal method based on GMHE, consisting of three steps to adaptively adjust performance based on the color histogram of the foggy image, enhance chromaticity using HSV and rotors color transformations, with experiments showing superior performance in terms of quality and execution time.
INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS
(2021)
Article
Engineering, Electrical & Electronic
Rawan I. Zaghloul, Hazem Hiary
INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING
(2020)
Article
Environmental Sciences
Bassam Qarallah, Bashar Al-Shbou, Hazem Hiary, Hamad Alsawalqah, Monther Tahat, Mohammad Al-Bsoul, Yahia A. Othman
FRESENIUS ENVIRONMENTAL BULLETIN
(2019)
Article
Computer Science, Artificial Intelligence
Alia Madain, Abdel Latif Abu Dalhoum, Azzam Sleit
PROGRESS IN ARTIFICIAL INTELLIGENCE
(2018)
