Timed Probabilistic Automaton : a bridge between Raven and Song Scope for automatic species recognition

Raven and Song Scope are two automated sound anal-ysis tools based on machine learning technique for en-vironmental monitoring. Many research works have been conducted upon them, however, no or rare explo-ration mentions about the performance and comparison between them. This paper investigates the comparisons from six aspects: theory, software interface, ease of use, detection targets, detection accuracy, and potential application. Through deep exploration one critical gap is identified that there is a lack of approach to detect both syllables and call structures, since Raven only aims to detect syllables while Song Scope targets call structures. Therefore, a Timed Probabilistic Automata (TPA) system is proposed which separates syllables first and clusters them into complex structures after.

Compositional hierarchical monitoring automaton construction for LTL

In this paper we give a compositional (or inductive) construction of monitoring automata for LTL formulas. Our construction is similar in spirit to the compositional construction of Kesten and Pnueli [5]. We introduce the notion of hierarchical Büchi automata and phrase our constructions in the framework of these automata. We give detailed constructions for all the principal LTL operators including past operators, along with proofs of correctness of the constructions.

Long-range automaton models of earthquakes: Power-law accelerations, correlation evolution, and mode-switching

We introduce a conceptual model for the in-plane physics of an earthquake fault. The model employs cellular automaton techniques to simulate tectonic loading, earthquake rupture, and strain redistribution. The impact of a hypothetical crustal elastodynamic Green's function is approximated by a long-range strain redistribution law with a r(-p) dependance. We investigate the influence of the effective elastodynamic interaction range upon the dynamical behaviour of the model by conducting experiments with different values of the exponent (p). The results indicate that this model has two distinct, stable modes of behaviour. The first mode produces a characteristic earthquake distribution with moderate to large events preceeded by an interval of time in which the rate of energy release accelerates. A correlation function analysis reveals that accelerating sequences are associated with a systematic, global evolution of strain energy correlations within the system. The second stable mode produces Gutenberg-Richter statistics, with near-linear energy release and no significant global correlation evolution. A model with effectively short-range interactions preferentially displays Gutenberg-Richter behaviour. However, models with long-range interactions appear to switch between the characteristic and GR modes. As the range of elastodynamic interactions is increased, characteristic behaviour begins to dominate GR behaviour. These models demonstrate that evolution of strain energy correlations may occur within systems with a fixed elastodynamic interaction range. Supposing that similar mode-switching dynamical behaviour occurs within earthquake faults then intermediate-term forecasting of large earthquakes may be feasible for some earthquakes but not for others, in alignment with certain empirical seismological observations. Further numerical investigation of dynamical models of this type may lead to advances in earthquake forecasting research and theoretical seismology.

Modeling the Potential Spread of the Recently Identified Non-Native Panther Grouper (Chromileptes altivelis)in the Atlantic Using a Cellular Automaton Approach

The Indo-pacific panther grouper (Chromileptes altiveli) is a predatory fish species and popular imported aquarium fish in the United States which has been recently documented residing in western Atlantic waters. To date, the most successful marine invasive species in the Atlantic is the lionfish (Pterois volitans/miles), which, as for the panther grouper, is assumed to have been introduced to the wild through aquarium releases. However, unlike lionfish, the panther grouper is not yet thought to have an established breeding population in the Atlantic. Using a proven modeling technique developed to track the lionfish invasion, presented is the first known estimation of the potential spread of panther grouper in the Atlantic. The employed cellular automaton-based computer model examines the life history of the subject species including fecundity, mortality, and reproductive potential and combines this with habitat preferences and physical oceanic parameters to forecast the distribution and periodicity of spread of this potential new invasive species. Simulations were examined for origination points within one degree of capture locations of panther grouper from the United States Geological Survey Nonindigenous Aquatic Species Database to eliminate introduction location bias, and two detailed case studies were scrutinized. The model indicates three primary locations where settlement is likely given the inputs and limits of the model; Jupiter Florida/Vero Beach, the Cape Hatteras Tropical Limit/Myrtle Beach South Carolina, and Florida Keys/Ten Thousand Islands locations. Of these locations, Jupiter Florida/Vero Beach has the highest settlement rate in the model and is indicated as the area in which the panther grouper is most likely to become established. This insight is valuable if attempts are to be made to halt this potential marine invasive species

An extinction-survival-type phase transition in the probabilistic cellular automaton p182-q200

We investigate the critical behaviour of a probabilistic mixture of cellular automata (CA) rules 182 and 200 (in Wolfram`s enumeration scheme) by mean-field analysis and Monte Carlo simulations. We found that as we switch off one CA and switch on the other by the variation of the single parameter of the model, the probabilistic CA (PCA) goes through an extinction-survival-type phase transition, and the numerical data indicate that it belongs to the directed percolation universality class of critical behaviour. The PCA displays a characteristic stationary density profile and a slow, diffusive dynamics close to the pure CA 200 point that we discuss briefly. Remarks on an interesting related stochastic lattice gas are addressed in the conclusions.

Cellular automaton model for molecular traffic jams

We consider the time evolution of an exactly solvable cellular automaton with random initial conditions both in the large-scale hydrodynamic limit and on the microscopic level. This model is a version of the totally asymmetric simple exclusion process with sublattice parallel update and thus may serve as a model for studying traffic jams in systems of self-driven particles. We study the emergence of shocks from the microscopic dynamics of the model. In particular, we introduce shock measures whose time evolution we can compute explicitly, both in the thermodynamic limit and for open boundaries where a boundary-induced phase transition driven by the motion of a shock occurs. The motion of the shock, which results from the collective dynamics of the exclusion particles, is a random walk with an internal degree of freedom that determines the jump direction. This type of hopping dynamics is reminiscent of some transport phenomena in biological systems.

Microstructure evolution modeling during and after deformation in 304 austenitic stainless steel through cellular automaton approach

A 2D cellular automation approach was used to simulate microstructure evolution during and after hot deformation. Initial properties of the microstructure and dislocation density were used as input data to the cellular automation model. The flow curve and final grain size were the output data for the dynamic recrystallization simulation, and softening kinetics curves were the output data of static and metadynamic recrystallization simulations. The model proposed in this work considered the effect of thermomechanical parameters (e.g., temperature and strain rate) on the nucleation and growth kinetics during dynamic recrystallization. The dynamic recrystallized microstructures at different strains, temperatures, and strain rates were used as input data for static and metadynamic recrystallization simulations. It was shown that the cellular automation approach can model the final microstructure and flow curve successfully in dynamic recrystallization conditions. The postdeformation simulation results showed that the time for 50% recrystallization decreases with increasing strain for a given initial grain size and that dynamic recrystallization slows the postdeformation recrystallization kinetics compared to a model without dynamic recrystallization.

Hyper-Automaton: avaliação interativa de alunos em cursos na WEB baseado em autômatos finitos

O objetivo desta dissertação é a elaboração de uma técnica da aplicação do formalismo de Autômatos Finitos com Saída (Máquina de Mealy e Máquina de Moore) como um modelo estrutural para a organização de hiperdocumentos instrucionais, em destacar especial, Avaliação e Exercício. Esse objetivo é motivado pela organização e agilização do processo de avaliação proporcionado ao professor e ao aluno. Existem diferentes técnicas de ensino utilizadas na Internet, algumas dessas continuam sendo projetadas com o uso de metodologias tradicionais de desenvolvimento, outras têm a capacidade de modelar de forma integrada e consistente alguns aspectos necessários para uma aplicação WEB. Para alcançar o objetivo proposto, foram realizadas pesquisas nas várias áreas abrangidas pelo tema em evidência, tanto relativo ao processo tradicional (aplicação de prova utilizando metodologia tradicional), como o desenvolvimento de software mediado por computador e uso da Internet em si. A modelagem de desenvolvimento para Internet deve integrar características de técnicas de projeto de sistemas de hipermídia devido à natureza hipertextual da Internet. O uso de hiperdocumento como autômatos com saída está na forma básica de representação de hipertexto, em que cada fragmento de informação é associado a um nodo ou a um link (estado/transições) do grafo. Sendo assim, os arcos direcionados representam relacionamentos entre os nodos ou links, ou seja, uma passagem do nodo origem para o nodo destino. As n-uplas dos autômatos apresentam uma correspondência as estruturas de hiperdocumentos na WEB, seu estado/transição inicial corresponde a sua primeira página e suas transições definidas na função programa, funcionam como ligações lógicas, quando selecionadas durante a navegação do hipertexto. Entretanto, faz-se necessário um levantamento dos modelos de hipertextos e das ferramentas de implementação disponíveis para a Internet, a fim de que seja capaz de suportar as peculiaridades do ambiente. Tudo isso deve ser integrado preferencialmente em um paradigma de desenvolvimento amplamente aceito, para que os projetistas não tenham muitas dificuldades em assimilar os conceitos propostos. A proposta apresentada nesta dissertação, batizada de Hyper-Automaton (hipertexto e autômato), consiste na integração de um Curso na WEB, utilizando formalismo de Autômatos Finitos com Saída para a modelagem dos conceitos necessários e definição das fases adequadas para completar a especificação de Sistema Exercício e Avaliação, bem como a especificação da Geração Automática dos Exercícios e Avaliações baseadas em autômatos para a WEB. Os modelos criados abrangem conceitos de Máquina de Mealy, Máquina de Moore e Aplicações de Hiperdocumentos e Ferramentas de Programação para Internet, os mesmos já testados em caso real. Os parâmetros apurados, nos testes, serviram a uma seqüência de etapas importantes para modelar e complementar a especificação do sistema projetado. Com os parâmetros e etapas de modelagem, a metodologia Hyper-Automaton consegue integrar, de forma consistente, as vantagens de várias técnicas específicas de modelagem de documentos e sistemas de hipermídia. Essas vantagens, aliadas ao suporte às ferramentas de desenvolvimento para Internet, garantem que a metodologia fique adequada para a modelagem de Sistemas com aplicação de métodos de autômatos para exercícios e avaliação na WEB.

A Cellular Automaton Approach to Spatial Electric Load Forecasting

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Modeling the dynamics of human hair cycles by a follicular automaton

The hair follicle cycle successively goes through the anagen, catagen, telogen, and latency phases, which correspond, respectively, to hair growth, arrest, shedding, and absence before a new anagen phase is initiated. Experimental observations collected over a period of 14 years in a group of 10 male volunteers, alopecic and nonalopecic, allowed us to determine the characteristics of scalp hair follicle cycles. On the basis of these observations, we propose a follicular automaton model to simulate the dynamics of human hair cycles. The automaton model is defined by a set of rules that govern the stochastic transitions of each follicle between the successive states anagen, telogen, and latency, and the subsequent return to anagen. The transitions occur independently for each follicle, after time intervals given stochastically by a distribution characterized by a mean and a variance. The follicular automaton model accounts both for the dynamical transitions observed in a single follicle and for the behavior of an ensemble of independently cycling follicles. Thus, the model successfully reproduces the evolution of the fractions of follicle populations in each of the three phases, which fluctuate around steady-state or slowly drifting values. We apply the follicular automaton model to the study of spatial patterns of follicular growth that result from a spatially heterogeneous distribution of parameters such as the mean duration of anagen phase. When considering that follicles die or miniaturize after going through a critical number of successive cycles, the model can reproduce the evolution to hair patterns similar to well known types of diffuse or androgenetic alopecia.

On the automorphism group of a reduced automaton /

"Supported in part jointly by the Atomic Energy Commission and the Advanced Research Projects Agency under AEC Contract AT(11-1)-1018."

The automorphism group of a strongly connected automaton and its quotient automata /

"February 14, 1966."