Relativistic Cosmology and the Pioneers Anomaly

We specify the four kinds of rotational cosmologies that are avaliable in Theoretical Cosmology. NASA spacecrafts has suffered from three anomalies. The Pioneers spacecrafts were decelerated, and their spin when not disturbed, was declining. On the other hand, fly-bys for gravity assists, appeared with extra speeds, relative to infinity. The Pioneers and fly-by anomalies are given now exact general relativistic full general solutions, in a rotating expanding Universe.We cite new evidence on the rotation of the Universe. Our solution seems to be the only one that solves the three anomalies.Comment: 14 page

Redes neurais artificiais para engenharia e ciências aplicadas: curso prático

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A Computational Semiotic Approach for Soft Computing

ABSTRACT The aim of this paper is to introduce a unified framework for soft computing based on the computational semiotics approach. Derived from semiotics, a classic discipline in human sciences, computational semiotics provides a mathematical foundation for the concept of knowledge and for knowledge processing that is suitable for intelligent systems design and implementation. As a result, a new perspective to study and to develop intelligent systems emerges. The theory introduces the mathematical definition of objects, object systems and object networks. They are used to model the different types of knowledge used in building intelligent systems. Particularly in this paper, we focus on the use of computational semiotics framework to construct fuzzy systems, neural networks and evolutive systems. The paper also addresses soft computing system in an unified manner

Adaptive input selection and evolving neural fuzzy networks modeling

This paper suggests an evolving approach to develop neural fuzzy networks for system modeling. The approach uses an incremental learning procedure to simultaneously select the model inputs, to choose the neural network structure, and to update the network weights. Candidate models with larger and smaller number of input variables than the current model are constructed and tested concurrently. The procedure employs a statistical test in each learning step to choose the best model amongst the current and candidate models. Membership functions can be added or deleted to adjust input space granulation and the neural network structure. Granulation and structure adaptation depend of the modeling error. The weights of the neural networks are updated using a gradient-descent algorithm with optimal learning rate. Prediction and nonlinear system identification examples illustrate the usefulness of the approach. Comparisons with state of the art evolving fuzzy modeling alternatives are performed to evaluate performance from the point of view of modeling error. Simulation results show that the evolving adaptive input selection modeling neural network approach achieves as high as, or higher performance than the remaining evolving modeling methods81314CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE MINAS GERAIS - FAPEMIG305906/2014-3não temnão te

Methodology to determine the evolution of asymptomatic HIV population using fuzzy set theory

The aim of this paper is to o study the evolution of positive HIV population for manifestation of AIDS, the Acquired Immunodeficiency Syndrome. For this purpose, we suggest a methodology to combine a macroscopic HIV positive population model with an individual microscopic model. The first describes the evolution of the population whereas the second the evolution of HIV in each individual of the population. This methodology is suggested by the way that experts use to conduct public policies, namely, to act at the individual level to observe and verify the manifest population. The population model we address is a differential equation system whose transference rate from asymptomatic to symptomatic population is found through a fuzzy rule-based system. The transference rate depends on the CD4+ level, the main T lymphocyte attacked by the HIV retrovirus when it reaches the bloodstream. The microscopic model for a characteristic individual in a population is used to obtain the CD4+ level at each time instant. From the CD4+ level, its fuzzy initial value, and the macroscopic population model, we compute the fuzzy values of the proportion of asymptomatic population at each time instant t using the extension principle. Next, centroid defuzzification is used to obtain a solution that represents the number of infected individuals. This approach provides a method to find a solution of a non-autonomous differential equation from an autonomous equation, a fuzzy initial value, the extension principle, and center of gravity defuzzification. Simulation experiments show that the solution given by the method suggested in this paper fits well to AIDS population data reported in the literature.The aim of this paper is to o study the evolution of positive HIV population for manifestation of AIDS, the Acquired Immunodeficiency Syndrome. For this purpose, we suggest a methodology to combine a macroscopic HIV positive population model with an indiv1313958CAPES - COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIORCNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOSEM INFORMAÇÃO304299/2003-

Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey

Major assumptions in computational intelligence and machine learning consist of the availability of a historical dataset for model development, and that the resulting model will, to some extent, handle similar instances during its online operation. However, in many real world applications, these assumptions may not hold as the amount of previously available data may be insufficient to represent the underlying system, and the environment and the system may change over time. As the amount of data increases, it is no longer feasible to process data efficiently using iterative algorithms, which typically require multiple passes over the same portions of data. Evolving modeling from data streams has emerged as a framework to address these issues properly by self-adaptation, single-pass learning steps and evolution as well as contraction of model components on demand and on the fly. This survey focuses on evolving fuzzy rule-based models and neuro-fuzzy networks for clustering, classification and regression and system identification in online, real-time environments where learning and model development should be performed incrementally. (C) 2019 Published by Elsevier Inc.Igor Škrjanc, Jose Antonio Iglesias and Araceli Sanchis would like to thank to the Chair of Excellence of Universidad Carlos III de Madrid, and the Bank of Santander Program for their support. Igor Škrjanc is grateful to Slovenian Research Agency with the research program P2-0219, Modeling, simulation and control. Daniel Leite acknowledges the Minas Gerais Foundation for Research and Development (FAPEMIG), process APQ-03384-18. Igor Škrjanc and Edwin Lughofer acknowledges the support by the ”LCM — K2 Center for Symbiotic Mechatronics” within the framework of the Austrian COMET-K2 program. Fernando Gomide is grateful to the Brazilian National Council for Scientific and Technological Development (CNPq) for grant 305906/2014-3

Processo de Mudança para uma Orientação Sustentável: Análise das Capacidades Adaptativas de Três Empresas Construtoras de Santa Maria-RS

The roots of sustainability reasoning lie in trying to change the mindset of people towards a different conception of life. In this way, corporations play an important role. However, the sustainable orientation that is based on a broad proposal is still being incipiently deployed in enterprises. The building sector, due to a perverse history with regard to impacts on the environment and on working conditions, has been targeted by government control. Thus, the present study addresses this issue by investigating how building companies are promoting the shift to a sustainable orientation. This objective is referred by means of the analysis by Zollo, Cennamo and Neumann’s (2013) model for three building companies in Santa Maria-RS, Brazil. Data analysis was based on content analysis technique in order to emphasize the particularities of sustainable initiatives practiced by companies. The applicability of this model is confirmed, as it focuses not only on more superficial elements of change but also on efforts to achieve more subtle, implicit and fundamental elements. The study’s findings are presented in terms of adaptive capabilities that indicate genuine desires to take change processes. We also expose the main difficulties faced by the companies and identify the focus of the firms’ activities in relation to the three dimensions of sustainability.La raíz del pensamiento en torno a la sostenibilidad radica en tratar de cambiar la  mentalidad de la gente a una concepción diferente de la vida. De esta manera, las empresas juegan un papel  importante. Sin embargo, la orientación  sostenible que se basa en una propuesta global es todavía incipiente y desplegada a las empresas. El sector de la construcción civil, debido a una historia malvada con respecto a los impactos ambientales y la peligrosidad de sus actividades de los trabajadores, ha sido ampliamente respaldado por el control del gobierno. Por lo tanto, este estudio aborda la cuestión del cambio en las organizaciones que investigan cómo las empresas de construcción están promoviendo la transición hacia una trayectoria sostenible. Se refiere a este objetivo mediante el análisis del modelo de Zollo, Cennamo y Neumann (2013) entre las empresas de construcción en Santa María-RS. El análisis de datos utiliza la técnica de análisis de contenido para resaltar las particularidades de iniciativas sostenibles practicados en las empresas. Se puede ver la aplicabilidad de este modelo, al centrarse no sólo los elementos más superficiales de cambio, sino también los esfuerzos para lograr los elementos más sutiles, tácitos y fundamentales. Los resultados del estudio se presentan en términos de la capacidad de adaptación que indican el deseo real de adoptar en los procesos de cambio. Se discuten las principales dificultades de las empresas e identifica el foco principal de las actividades en relación con las tres dimensiones de la sostenibilidad.A raiz do pensamento em torno da sustentabilidade reside em tentar mudar a mentalidade das pessoas para uma concepção diferente de vida. Nesse propósito, as empresas desempenham um importante papel. Porém, a orientação sustentável que está baseada em uma proposta ampla ainda está sendo incipientemente implantada nas empresas. O setor de construção civil, devido a um histórico perverso no tocante aos impactos no meio ambiente e à periculosidade de suas atividades aos trabalhadores, tem sido muito visado pelo controle governamental. Dessa forma, o presente estudo endereça a questão de mudança em organizações investigando como empresas construtoras estão promovendo a transição para uma orientação sustentável. Reporta-se a esse objetivo por meio da análise do modelo de Zollo, Cennamo e Neumann (2013) em três empresas construtoras de Santa Maria-RS. A análise dos dados recorre à técnica de análise de conteúdo de modo a ressaltar as particularidades das iniciativas sustentáveis praticadas nas empresas. Pode-se constatar a aplicabilidade desse modelo, por focar não apenas elementos mais superficiais de mudança, mas, também, esforços para atingir os elementos mais sutis, tácitos e fundamentais. Os achados do estudo são apresentados em termos das capacidades adaptativas que indicam desejos genuínos de assumir processos de mudança. Discutem-se as principais dificuldades enfrentadas pelas empresas e identifica-se o principal foco das atividades em relação às três dimensões da sustentabilidade

Characterization of tomato accessions for resistance to early blight

The purpose of this study was to characterize 50 tomato genotypes of the Vegetable Genebank of the FederalUniversity of Viçosa. They were evaluated together with the controls Débora, Fanny and Santa Clara, in a randomized block designwith two replications. The experiment was conducted in a research field of the UFV, from February to May 2007. We evaluated thedisease severity, which is the percentage of diseased leaf area. The severity values were transformed into area under the diseaseprogress curve (AUDPC), improving the result visualization. The analysis of variance and grouping of AUDPC means by the Scott-Knott test at 5 % significance were performed. The accessions BGH-2081, BGH-2034, BGH-700, BGH-2057, BGH-2035, BGH-2054, BGH-2018, BGH-2065, BGH-2008, and BGH-2032 had a lower mean AUDPC than the controls and are therefore indicatedfor future breeding programs