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https://www.readbyqxmd.com/read/27874024/exploring-spatio-temporal-dynamics-of-cellular-automata-for-pattern-recognition-in-networks
#1
Gisele Helena Barboni Miranda, Jeaneth Machicao, Odemir Martinez Bruno
Network science is an interdisciplinary field which provides an integrative approach for the study of complex systems. In recent years, network modeling has been used for the study of emergent phenomena in many real-world applications. Pattern recognition in networks has been drawing attention to the importance of network characterization, which may lead to understanding the topological properties that are related to the network model. In this paper, the Life-Like Network Automata (LLNA) method is introduced, which was designed for pattern recognition in networks...
November 22, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27854282/cellular-automata-based-application-for-driver-assistance-in-indoor-parking-areas
#2
Cándido Caballero-Gil, Pino Caballero-Gil, Jezabel Molina-Gil
This work proposes an adaptive recommendation mechanism for smart parking that takes advantage of the popularity of smartphones and the rise of the Internet of Things. The proposal includes a centralized system to forecast available indoor parking spaces, and a low-cost mobile application to obtain data of actual and predicted parking occupancy. The described scheme uses data from both sources bidirectionally so that the centralized forecast system is fed with data obtained with the distributed system based on smartphones, and vice versa...
November 15, 2016: Sensors
https://www.readbyqxmd.com/read/27828433/cellular-automata-in-photonic-cavity-arrays
#3
Jing Li, T C H Liew
We propose theoretically a photonic Turing machine based on cellular automata in arrays of nonlinear cavities coupled with artificial gauge fields. The state of the system is recorded making use of the bistability of driven cavities, in which losses are fully compensated by an external continuous drive. The sequential update of the automaton layers is achieved automatically, by the local switching of bistable states, without requiring any additional synchronization or temporal control.
October 31, 2016: Optics Express
https://www.readbyqxmd.com/read/27814468/a-modular-architecture-for-transparent-computation-in-recurrent-neural-networks
#4
Giovanni S Carmantini, Peter Beim Graben, Mathieu Desroches, Serafim Rodrigues
Computation is classically studied in terms of automata, formal languages and algorithms; yet, the relation between neural dynamics and symbolic representations and operations is still unclear in traditional eliminative connectionism. Therefore, we suggest a unique perspective on this central issue, to which we would like to refer as transparent connectionism, by proposing accounts of how symbolic computation can be implemented in neural substrates. In this study we first introduce a new model of dynamics on a symbolic space, the versatile shift, showing that it supports the real-time simulation of a range of automata...
September 24, 2016: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/27806102/efficient-deterministic-finite-automata-minimization-based-on-backward-depth-information
#5
Desheng Liu, Zhiping Huang, Yimeng Zhang, Xiaojun Guo, Shaojing Su
Obtaining a minimal automaton is a fundamental issue in the theory and practical implementation of deterministic finite automatons (DFAs). A minimization algorithm is presented in this paper that consists of two main phases. In the first phase, the backward depth information is built, and the state set of the DFA is partitioned into many blocks. In the second phase, the state set is refined using a hash table. The minimization algorithm has a lower time complexity O(n) than a naive comparison of transitions O(n2)...
2016: PloS One
https://www.readbyqxmd.com/read/27804098/space-limited-mitosis-in-the-glazier-graner-hogeweg-model
#6
Brodie A J Lawson, Graeme J Pettet
The Glazier-Graner-Hogeweg (GGH) model is a cellular automata framework for representing the time evolution of cellular systems, appealing because unlike many other individual-cell-based models it dynamically simulates changes in cell shape and size. Proliferation has seen some implementation into this modelling framework, but without consensus in the literature as to how this behaviour is best represented. Additionally, the majority of published GGH model implementations which feature proliferation do so in order to simulate a certain biological situation where mitosis is important, but without analysis of how these proliferation routines operate on a fundamental level...
November 1, 2016: Bulletin of Mathematical Biology
https://www.readbyqxmd.com/read/27802680/spatial-self-organization-in-hybrid-models-of-multicellular-adhesion
#7
Adriano Bonforti, Salva Duran-Nebreda, Raúl Montañez, Ricard Solé
Spatial self-organization emerges in distributed systems exhibiting local interactions when nonlinearities and the appropriate propagation of signals are at work. These kinds of phenomena can be modeled with different frameworks, typically cellular automata or reaction-diffusion systems. A different class of dynamical processes involves the correlated movement of agents over space, which can be mediated through chemotactic movement or minimization of cell-cell interaction energy. A classic example of the latter is given by the formation of spatially segregated assemblies when cells display differential adhesion...
October 2016: Chaos
https://www.readbyqxmd.com/read/27780249/a-complex-network-theory-approach-for-the-spatial-distribution-of-fire-breaks-in-heterogeneous-forest-landscapes-for-the-control-of-wildland-fires
#8
Lucia Russo, Paola Russo, Constantinos I Siettos
Based on complex network theory, we propose a computational methodology which addresses the spatial distribution of fuel breaks for the inhibition of the spread of wildland fires on heterogeneous landscapes. This is a two-level approach where the dynamics of fire spread are modeled as a random Markov field process on a directed network whose edge weights are determined by a Cellular Automata model that integrates detailed GIS, landscape and meteorological data. Within this framework, the spatial distribution of fuel breaks is reduced to the problem of finding network nodes (small land patches) which favour fire propagation...
2016: PloS One
https://www.readbyqxmd.com/read/27778167/structural-classification-of-proteins-using-texture-descriptors-extracted-from-the-cellular-automata-image
#9
Hamidreza Kavianpour, Mahdi Vasighi
Nowadays, having knowledge about cellular attributes of proteins has an important role in pharmacy, medical science and molecular biology. These attributes are closely correlated with the function and three-dimensional structure of proteins. Knowledge of protein structural class is used by various methods for better understanding the protein functionality and folding patterns. Computational methods and intelligence systems can have an important role in performing structural classification of proteins. Most of protein sequences are saved in databanks as characters and strings and a numerical representation is essential for applying machine learning methods...
October 24, 2016: Amino Acids
https://www.readbyqxmd.com/read/27778007/tuning-of-quantum-entanglement-in-molecular-quantum-cellular-automata-based-on-mixed-valence-tetrameric-units
#10
Andrew Palii, Boris Tsukerblat
In this article we consider two coupled tetrameric mixed-valence (MV) units accommodating electron pairs, which play the role of cells in molecular quantum cellular automata. It is supposed that the Coulombic interaction between instantly localized electrons within the cell markedly inhibits the transfer processes between the redox centers. Under this condition, as well as due to the vibronic localization of the electron pair, the cell can encode binary information, which is controlled by neighboring cells...
October 25, 2016: Dalton Transactions: An International Journal of Inorganic Chemistry
https://www.readbyqxmd.com/read/27771873/rules-versus-layers-which-side-wins-the-battle-of-model-calibration
#11
Yousef Sakieh, Abdolrassoul Salmanmahiny, Seyed Hamed Mirkarimi
Continuous surface of urbanization suitability, as an input to many urban growth models (UGM), has a significant role on a proper calibration process. The present study evaluates and compares the simulation success of the Cellular Automata-Markov Chain (CA-MC) model through multiple methods. For this, a series of mapping algorithms are applied ranging from empirical methods such as multi-criteria evaluation (MCE) to statistical algorithms without spatially explicit suitability mapping rules such as logistic regression (LR) and multi-layer perceptron (MLP) neural network and finally statistical and spatially explicit rule-based methods such as SLEUTH-Genetic Algorithm (SLEUTH-GA) model...
December 0: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/27733924/design-of-cryptographically-secure-aes-like-s-box-using-second-order-reversible-cellular-automata-for-wireless-body-area-network-applications
#12
Bhoopal Rao Gangadari, Shaik Rafi Ahamed
In biomedical, data security is the most expensive resource for wireless body area network applications. Cryptographic algorithms are used in order to protect the information against unauthorised access. Advanced encryption standard (AES) cryptographic algorithm plays a vital role in telemedicine applications. The authors propose a novel approach for design of substitution bytes (S-Box) using second-order reversible one-dimensional cellular automata (RCA(2)) as a replacement to the classical look-up-table (LUT) based S-Box used in AES algorithm...
September 2016: Healthcare Technology Letters
https://www.readbyqxmd.com/read/27722977/low-power-s-box-architecture-for-aes-algorithm-using-programmable-second-order-reversible-cellular-automata-an-application-to-wban
#13
Bhoopal Rao Gangadari, Shaik Rafi Ahamed
In this paper, we presented a novel approach of low energy consumption architecture of S-Box used in Advanced Encryption Standard (AES) algorithm using programmable second order reversible cellular automata (RCA (2)). The architecture entails a low power implementation with minimal delay overhead and the performance of proposed RCA (2) based S-Box in terms of security is evaluated using the cryptographic properties such as nonlinearity, correlation immunity bias, strict avalanche criteria, entropy and also found that the proposed architecture is secure enough for cryptographic applications...
December 2016: Journal of Medical Systems
https://www.readbyqxmd.com/read/27689554/modeling-the-virus-immune-system-interactions-in-the-peripheral-bloodstream-of-hiv-infected-individuals-using-a-cellular-automata-model-with-considering-the-effects-of-antiretroviral-therapy
#14
Gelayol Nazari Golpayegani, Amir Homayoun Jafari, Nader Jafarnia Dabanloo
BACKGROUND: According to the World Health Organization, by the end of last year, about 37 million people throughout the world were diagnosed with AIDS and millions of people die each year from this disease. OBJECTIVE: To develop an appropriate model which depicts the mechanism of the dynamics involved in the interactions between HIV and immune system in peripheral bloodstream of HIV infected individuals by considering the phenomena of virus mutation and taking into account the role of latently infected cells in speared of infection and considering the effects of antiretroviral drugs and occurrence of drug resistance in our model in order to assess the results obtained from applying different therapeutic methods...
September 23, 2016: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/27660398/attractor-based-obstructions-to-growth-in-homogeneous-cyclic-boolean-automata
#15
Bilal Khan, Yuri Cantor, Kirk Dombrowski
We consider a synchronous Boolean organism consisting of N cells arranged in a circle, where each cell initially takes on an independently chosen Boolean value. During the lifetime of the organism, each cell updates its own value by responding to the presence (or absence) of diversity amongst its two neighbours' values. We show that if all cells eventually take a value of 0 (irrespective of their initial values) then the organism necessarily has a cell count that is a power of 2. In addition, the converse is also proved: if the number of cells in the organism is a proper power of 2, then no matter what the initial values of the cells are, eventually all cells take on a value of 0 and then cease to change further...
November 2015: Journal of Computer Science and Systems Biology
https://www.readbyqxmd.com/read/27628728/a-pathophysiological-model-driven-communication-for-dynamic-distributed-medical-best-practice-guidance-systems
#16
Mohammad Hosseini, Yu Jiang, Poliang Wu, Richard B Berlin, Shangping Ren, Lui Sha
There is a great divide between rural and urban areas, particularly in medical emergency care. Although medical best practice guidelines exist and are in hospital handbooks, they are often lengthy and difficult to apply clinically. The challenges are exaggerated for doctors in rural areas and emergency medical technicians (EMT) during patient transport. In this paper, we propose the concept of distributed executable medical best practice guidance systems to assist adherence to best practice from the time that a patient first presents at a rural hospital, through diagnosis and ambulance transfer to arrival and treatment at a regional tertiary hospital center...
November 2016: Journal of Medical Systems
https://www.readbyqxmd.com/read/27623570/stem-cell-plasticity-and-niche-dynamics-in-cancer-progression
#17
Noemi Picco, Robert A Gatenby, Alexander R A Anderson
OBJECTIVE: Cancer stem cells (CSCs) have been hypothesized to initiate and drive tumor growth and recurrence due to their self-renewal ability. If correct, this hypothesis implies that successful therapy must focus primarily on eradication of this CSC fraction. However, recent evidence suggests stemness is niche dependent and may represent one of many phenotypic states that can be accessed by many cancer genotypes when presented with specific environmental cues. A better understanding of the relationship of stemness to niche-related phenotypic plasticity could lead to alternative treatment strategies...
September 8, 2016: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/27600323/novel-polyurethane-matrix-systems-reveal-a-particular-sustained-release-behavior-studied-by-imaging-and-computational-modeling
#18
María Dolores Campiñez, Isidoro Caraballo, Maxim Puchkov, Martin Kuentz
The aim of the present work was to better understand the drug-release mechanism from sustained release matrices prepared with two new polyurethanes, using a novel in silico formulation tool based on 3-dimensional cellular automata. For this purpose, two polymers and theophylline as model drug were used to prepare binary matrix tablets. Each formulation was simulated in silico, and its release behavior was compared to the experimental drug release profiles. Furthermore, the polymer distributions in the tablets were imaged by scanning electron microscopy (SEM) and the changes produced by the tortuosity were quantified and verified using experimental data...
September 6, 2016: AAPS PharmSciTech
https://www.readbyqxmd.com/read/27581007/scenario-prediction-of-emerging-coastal-city-using-ca-modeling-under-different-environmental-conditions-a-case-study-of-lingang-new-city-china
#19
Yongjiu Feng, Yan Liu
The world's coastal regions are experiencing rapid urbanization coupled with increased risk of ecological damage and storm surge related to global climate and sea level rising. This urban development issue is particularly important in China, where many emerging coastal cities are being developed. Lingang New City, southeast of Shanghai, is an excellent example of a coastal city that is increasingly vulnerable to environmental change. Sustainable urban development requires planning that classifies and allocates coastal lands using objective procedures that incorporate changing environmental conditions...
December 0: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/27460034/modelling-with-animo-between-fuzzy-logic-and-differential-equations
#20
Stefano Schivo, Jetse Scholma, Paul E van der Vet, Marcel Karperien, Janine N Post, Jaco van de Pol, Rom Langerak
BACKGROUND: Computational support is essential in order to reason on the dynamics of biological systems. We have developed the software tool ANIMO (Analysis of Networks with Interactive MOdeling) to provide such computational support and allow insight into the complex networks of signaling events occurring in living cells. ANIMO makes use of timed automata as an underlying model, thereby enabling analysis techniques from computer science like model checking. Biology experts are able to use ANIMO via a user interface specifically tailored for biological applications...
2016: BMC Systems Biology
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