Fuzzy Logic and Geostatistical Techniques for Spatialization of Soil Texture in Region with Rough Terrains

From the geotechnical standpoint, it is interesting to analyse the soil texture in regions with rough terrain due to its relation with the infiltration and runoff processes and, consequently, the effect on erosion processes. The purpose of this paper is to present a methodology that provides the soil texture spatialization by using Fuzzy logic and Geostatistic. The results were correlated with maps drawn specifically for the study area. The knowledge of the spatialization of soil properties, such as the texture, can be an important tool for land use planning in order to reduce the potential soil losses during rain seasons. (c) 2011 Published by Elsevier Ltd. Selection and peer-review under responsibility of Spatial Statistics 2011

Expert system to detect incipient fauts in rotating machines using fuzzy logic and virtual instrumentation

This paper refers to the design of an expert system that captures a waveform through the use of an accelerometer, processes the signal and converts it to the frequency domain using a Fast Fourier Transformer to then, using artificial intelligence techniques, specifically Fuzzy Reasoning, it determines if there is any failure present in the underlying mode of the equipment, such as imbalance, misalignment or bearing defects.

Chaos induced by turbulent and erratic functions

Let (X, d) be a compact metric space and f: X → X a continuous function and consider the hyperspace (K(X), H) of all nonempty compact subsets of X endowed with the Hausdorff metric induced by d. Let f̄: K(X) → K (X) be defined by f̄(A) = {f(a)/a ∈ A} the natural extension of f to K(X), then the aim of this work is to study the dynamics of f when f is turbulent (erratic, respectively) and its relationships.

A mediação como fundamento da educação física escolar: possibilidades e limitações para a práxis educativa

Pós-graduação em Educação Escolar - FCLAR

O Raciocínio lógico-matemático: classificação e uso em concursos públicos

This study offers an analysis of classification of the main issues of logic and logical thinking found in competitive tendering and math tests, according to their concepts and characteristics, whether involving mathematics, or not. Moreover, a research on the evolutionary historic processes of logic according to three major crises of the foundations of mathematics was conducted. This research helped to define Logic as a science that is quite distinctive from Mathematics. In order to relate the logical and the mathematical thinking, three types of knowledge, according to Piaget, were presented, with the logical-mathematical one being among them. The study also includes an insight on the basic concepts of propositional and predicative logic, which aids in the classification of issues of logical thinking, formal logic or related to algebraic, and geometric or arithmetic knowledge, according to the Venn diagrams. Furthermore, the key problems - that are most frequently found in tests are resolved and classified, as it was previously described. As a result, the classification in question was created and exemplified with eighteen logic problems, duly solved and explained

Electrical load forecasting formulation by a fast neural network

The objective of this work is to develop a methodology for electric load forecasting based on a neural network. Here, backpropagation algorithm is used with an adaptive process that based on fuzzy logic and using a decaying exponential function to avoid instability in the convergence process. This methodology results in fast training, when compared to the conventional formulation of backpropagation algorithm. The results are presented using data from a Brazilian Electric Company, and shows a very good performance for the proposal objective.

Fragmentos da presença do pensamento idealista na história da construção das ciências da natureza

O propósito deste trabalho é estabelecer o caminho percorrido pelo idealismo em sua participação na construção das Ciências da Natureza desde a antigüidade até o final do século XX. Para os pensadores antigos, o mundo físico era governado pela idéia, e o modo de apreendê-la era por meio da contemplação da alma ou da observação e da lógica. Na escolástica essa idéia é Deus. Na renascença, Deus se torna matemático. em Galileu a Matemática do mundo é entendida pela experimentação. Para Descartes o mundo é mecânico e entendido por hipóteses dedutivas. Newton enxerga o mundo mecânico construído e corrigido pelo Deus geômetra e entendido pela observação e experimentação. Os empiristas retiram a idéia do universo e a colocam no espírito humano. em Kant as regras que organizam as idéias na mente também organizam o mundo mecânico. em Hegel o real só é real porque é racional, e essa racionalidade vem de Deus, que transforma o mundo natural e atinge o espírito humano. Os pensadores, influenciados por Hegel, percebem a incapacidade das leis da mecânica explicarem as leis da vida. Comte e Bergson procuram, de forma diferente, submeter às leis da Física às leis das ciências da vida. O universo mecanicista é absorvido pelo determinismo relativista e pelo probabilismo quântico. A linguagem da lógica se associa ao empirismo na descrição da ciência procurando retirar dela o idealismo e a metafísica e, após um período de florescimento, acaba não tendo sucesso. A dificuldade da apreensão do real volta a ser o problema da ciência no final do século XX, e a procura de uma possível solução reaproxima a ciência do idealismo.

Marxismo e filosofia: algumas considerações sobre os textos políticos Merleau-Pontyanos do pós-guerra

A tentativa merleau-pontyana de aproximação do marxismo, empreendida nos idos do pós-guerra, é perpassada por constante ambigüidade. Não obstante o propósito do filósofo de se filiar à teoria de Marx, suas análises políticas revelam-se distantes de suas intenções. Concebendo a história como uma aventura que escapa a qualquer esquema racional, Merleau-Ponty questiona, desde seus primeiros escritos, a dialética marxista entre lógica e contingência na história. A tensão interna que dilacera os textos do autor nos anos 40, anunciando (e preparando) a recusa da teoria da revolução estampada mais tarde nas Aventuras da Dialética, permite indagar se esse desfecho dos anos 50 não teria sido, ao invés de um corte no interior da obra, o resultado necessário dessa tentativa problemática de aproximação do marxismo a partir de categorias que lhe são estranhas (próprias às filosofias da existência e à fenomenologia).

Custo energético de construção de uma instalação para armazenagem de feno

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Analog Modeling of Human Cognitive Functions with Tripartite Synapses

Searching for an understanding of how the brain supports conscious processes, cognitive scientists have proposed two main classes of theory: Global Workspace and Information Integration theories. These theories seem to be complementary, but both still lack grounding in terms of brain mechanisms responsible for the production of coherent and unitary conscious states. Here we propose following James Robertson's "Astrocentric Hypothesis" - that conscious processing is based on analog computing in astrocytes. The "hardware" for these computations is calcium waves mediated by adenosine triphosphate signaling. Besides presenting our version of this hypothesis, we also review recent findings on astrocyte morphology that lend support to their functioning as Local Hubs (composed of protoplasmic astrocytes) that integrate synaptic activity, and as a Master Hub (composed, in the human brain, by a combination of interlaminar, fibrous, polarized and varicose projection astrocytes) that integrates whole-brain activity.

Control automatico de un sistema electrico mediante logica difusa

Substitution of fuzzy logic control in an electrical system normally controlled by proportional-integral frequency was studied and analyzed. A linear model of an electrical system, the concepts which govern the theory of fuzzy logic, and the application of this theory to systems control, are briefly presented. The methodology of fuzzy logic was then applied to develop a model for an electrical energy system. The results of the simulation demonstrated that fuzzy logic control eliminated the area frequency error and permitted that only the area experiencing an increase in charge responds to this variation. Based on the results, it is concluded that control based on fuzzy logic is simple, is easy to maintain, is of low cost, and can be used to substitute traditional velocity controllers.

Using artificial intelligence for the control of medium voltage substations

This paper introduces a method for the supervision and control of devices in electric substations using fuzzy logic and artificial neural networks. An automatic knowledge acquisition process is included which allows the on-line processing of operator actions and the extraction of control rules to replace gradually the human operator. Some experimental results obtained by the application of the implemented software in a simulated environment with random signal generators are presented.

Pricing of reactive power support provided by distributed generators in transmission systems

Distributed Generation, microgrid technologies, two-way communication systems, and demand response programs are issues that are being studied in recent years within the concept of smart grids. At some level of enough penetration, the Distributed Generators (DGs) can provide benefits for sub-transmission and transmission systems through the so-called ancillary services. This work is focused on the ancillary service of reactive power support provided by DGs, specifically Wind Turbine Generators (WTGs), with high level of impact on transmission systems. The main objective of this work is to propose an optimization methodology to price this service by determining the costs in which a DG incurs when it loses sales opportunity of active power, i.e, by determining the Loss of Opportunity Costs (LOC). LOC occur when more reactive power is required than available, and the active power generation has to be reduced in order to increase the reactive power capacity. In the optimization process, three objectives are considered: active power generation costs of DGs, voltage stability margin of the system, and losses in the lines of the network. Uncertainties of WTGs are reduced solving multi-objective optimal power flows in multiple probabilistic scenarios constructed by Monte Carlo simulations, and modeling the time series associated with the active power generation of each WTG via Fuzzy Logic and Markov Chains. The proposed methodology was tested using the IEEE 14 bus test system with two WTGs installed. © 2011 IEEE.

Formulação do controle preventivo em sistemas de distribuição de energia elétrica baseada na lógica fuzzy e redes neurais

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)