Detecção e diagnóstico de falhas não-supervisionados baseados em estimativa de densidade recursiva e classificador fuzzy auto-evolutivo

In this work, we propose a two-stage algorithm for real-time fault detection and identification of industrial plants. Our proposal is based on the analysis of selected features using recursive density estimation and a new evolving classifier algorithm. More specifically, the proposed approach for the detection stage is based on the concept of density in the data space, which is not the same as probability density function, but is a very useful measure for abnormality/outliers detection. This density can be expressed by a Cauchy function and can be calculated recursively, which makes it memory and computational power efficient and, therefore, suitable for on-line applications. The identification/diagnosis stage is based on a self-developing (evolving) fuzzy rule-based classifier system proposed in this work, called AutoClass. An important property of AutoClass is that it can start learning from scratch". Not only do the fuzzy rules not need to be prespecified, but neither do the number of classes for AutoClass (the number may grow, with new class labels being added by the on-line learning process), in a fully unsupervised manner. In the event that an initial rule base exists, AutoClass can evolve/develop it further based on the newly arrived faulty state data. In order to validate our proposal, we present experimental results from a level control didactic process, where control and error signals are used as features for the fault detection and identification systems, but the approach is generic and the number of features can be significant due to the computationally lean methodology, since covariance or more complex calculations, as well as storage of old data, are not required. The obtained results are significantly better than the traditional approaches used for comparison

Epidemiological aspects of astrovirus and coronavirus in poults in the South Eastern Region of Brazil

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

Evaluation of a novel kit (TF-test) for the diagnosis of intestinal parasitic infections

Intestinal parasitic infections are currently a source of concern for Public Health agencies in developing and developed countries. Since three ovum-and-parasite stool examinations have been demonstrated to provide sensitive results, we designed a practical and economical kit (TF-Test) that is now commercially available (Immunoassay Com. Ind. Ltda., S (a) over tildeo Paulo, Brazil). This kit allows the separate collection of three fecal specimens into a preservative solution. The specimens are then pooled, double-filtered, and concentrated by a single rapid centrifugation process. The TF-Test was evaluated in four different laboratories in a study using 1,102 outpatients and individuals living in an endemic area for enteroparasitosis. The overall sensitivity found using the TF-Test (86.2-97.8%) was significantly higher (P<0.01) than the sensitivity of conventional techniques such as the Coprotest (NIL Comercio Exterior Ltda, São Paulo, Brazil) and the combination of Lutz/Hoffman, Faust, and Rugai techniques (De Carli, Diagnostico Laboratorial das Parasitoses Humanas. Metodos e Tecnicas, 1994), which ranged from 48.3% to 75.9%. When the above combined three specimen technique was repeated with three specimens collected on different days, its sensitivity became similar (P > 0.01) to that of the TF-Test. The kappa index values of agreement for the TF-Test were consistent (P < 0.01), being higher and ranking in a better position than conventional techniques. The high sensitivity, cost/benefit ratio, and practical aspects demonstrate that the TF-Test is suitable for individual diagnosis, epidemiological inquiries, or evaluation of chemotherapy in treated communities. (C) 2004 Wiley-Liss, Inc.

Plan de desarrollo de la microrregión Calca-Urubamba

Incluye Bibliografía

¿Perspectivas de cambio en la situación de la mujer? = The outlook for change in the status of women

Incluye Bibliografía

Manual de prospectiva y decisión estratégica: bases teóricas e instrumentos para América Latina y el Caribe

Incluye Bibliografía

Metodología general de identificación, preparación y evaluación de proyectos de inversión pública

Incluye Bibliografía

Unión y cohabitación en América Latina: ¿modernidad, exclusión, diversidad?

Incluye Bibliografía

Metodología para el diagnóstico del cumplimiento en los compromisos nacionales de los Objetivos de Desarrollo del Milenio a nivel municipal

Incluye Bibliografía

Las politicas de poblacion en el contexto del desarrollo economico y social

Incluye Bibliografía

Nociones basicas de demografia

Las variables demograficas contribuyen al diagnostico de salud de la poblacion, proporcionando informacion sobre la magnitud, distribucion y naturaleza de los problemas. Por otra parte, las acciones de salud inciden en algunas variables demograficas. El documento entrega una serie de definiciones y conceptos basicos utilizados en demografia, asi como las formulas de algunas tasas de uso frecuente.

Integracion de la mujer en el desarrollo: marcos conceptuales y lineamientos para politicas

Incluye Bibliografía

Ministerio del Interior y la planificación regional en el Brasil

Incluye Bibliografía

La integracion de la mujer en el desarrollo: marcos conceptuales y lineamientos para politicas

Incluye Bibliografía

La familia como marco social inmediato de los niños y la mujer

Documento preparado para servir de insumo al documento de UNICEF sobre "La situación de la infancia en América Latina y el Caribe". Documento disponible en otra fuente (8880.02)