1000 resultados para Control de processos -- Mètodes estadístics


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Para la lingüística Cognitiva, la construcción del sentido darse a través del accionamiento de procesos mentales específicos que están directamente ligados a las experiencias socioculturales, sensorio motores y perceptuales. En portadores de la Síndrome de Asperger, el comprometimiento de estos procesos, debido a características específicas dela propia síndrome, puede estar directamente relacionado a problemas de construcción de sentido por estos individuos. En este sentido, el objetivo de esta investigación es investigar los procesos cognitivos que direccionan la construcción del sentido en estos portadores de trastornos neurales. La investigación es realizada con alumnos de la APPARN (Associação de país e amigos dos autistas do Rio Grande do Norte), teniendo como grupo de control alumnos neurotípicos de otras instituciones, siendo los portadores de la síndrome practicantes de la lengua materna o grupo experimental de la búsqueda. Para elucidar el proceso de construcción del sentido por estos alumno, fueron desarrollados testes contiendo rasgos linguisticos norteadores responsables por el accionamiento de algunos procesos cognitivos como los esquemas (JOHNSON, 1987), frames (MINSKY, 1974), affordances (GIBSON, 1979) y simulación mental (BARSALOU, 1999). Los testes fueron basados en los presupuestos teóricos de la Lingüística Cognitiva, más precisamente, de la Teoria Neural del Linguaje. Los resultados apuntan para una posible justificativa para el comprometimiento de la construcción del sentido en portadores de la Síndrome de Asperger, que comprende directamente la relevancia intersubjetiva de la infersencias recibidas y construidas socialmente por los participantes específicamente de este análisis.

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This work proposes a modified control chart incorporating concepts of time series analysis. Specifically, we considerer Gaussian mixed transition distribution (GMTD) models. The GMTD models are a more general class than the autorregressive (AR) family, in the sense that the autocorrelated processes may present flat stretches, bursts or outliers. In this scenario traditional Shewhart charts are no longer appropriate tools to monitoring such processes. Therefore, Vasilopoulos and Stamboulis (1978) proposed a modified version of those charts, considering proper control limits based on autocorrelated processes. In order to evaluate the efficiency of the proposed technique a comparison with a traditional Shewhart chart (which ignores the autocorrelation structure of the process), a AR(1) Shewhart control chart and a GMTD Shewhart control chart was made. An analytical expression for the process variance, as well as control limits were developed for a particular GMTD model. The ARL was used as a criteria to measure the efficiency of control charts. The comparison was made based on a series generated according to a GMTD model. The results point to the direction that the modified Shewhart GMTD charts have a better performance than the AR(1) Shewhart and the traditional Shewhart.

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This study describes the development of a prototype to evaluate the potential of environments based on two-dimensional modeling and virtual reality as power substations learning objects into training environments from a central operation and control of power utility Cemig. Initially, there was an identification modeling features and cognitive processes in 2D and RV, from which it was possible to create frames that serve to guide the preparation of a checklist with assigning a metric weight for measuring cognitive potential learning in the study sites. From these contents twenty-four questions were prepared and each was assigned a weight that was used in the calculation of the metric; the questions were grouped into skill sets and similar cognitive processes called categories. Were then developed two distinct environments: the first, the prototype features an interactive checklist and your individual results. And, second, a system of data management environment for the configuration and editing of the prototype, and the observation and analysis of the survey results. For prototype validation, were invited to access the virtual checklist and answer it, five professionals linked to Cemig's training area. The results confirmed the validity of this instrument application to assess the possible potential of modeling in 2D and RV as learning objects in power substations, as well as provide feedback to developers of virtual environments to improve the system.

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Currently, the management recommendations for asian soybean rust (ASR) has been based on the application of protective fungicides mixed with triazoles and stronilurins. Thus, this study aimed at assessing whether the increased productivity provided by the application of protective fungicides is due solely to the fungicidal action of the product or some physiological changes in the plant and which the latter would be. The experiment was conducted from March to July 2015 at the experimental station of Udi Research and Development in Uberlândia-MG, with the cultivar 97Y07 RR. The experimental design chosen for this study was comprised of a randomized block with four replications and 16 treatments: check, fluxapyroxad + pyraclostrobin (116.55 + 58.45 g ha-1), azoxystrobin + benzovindiflupir (90 + 45 g ha-1), trifloxystrobin + prothioconazole (60 + 70 g ha-1), tebuconazole + picoxystrobin (100 + 60 g ha-1), picoxystrobin + cyproconazole (60 + 24 g ha-1), mancozeb (1125 g ha-1), azoxistrobina + tebuconazole + difenoconazole (60 + 75 + 120 g ha-1), azoxystrobin + tebuconazole + difenoconazole + chlorothalonil ( 60 + 120 + 75 + 1440 g ha-1), and mistures fluxapyroxad + pyraclostrobin + mancozeb, azoxystrobin + benzovindiflupir + mancozeb, trifloxystrobin + prothioconazole + mancozeb, tebuconazole + picoxystrobin + mancozeb, picoxystrobin + cyproconazole + mancozeb, azoxystrobin + tebuconazole + difenoconazole + mancozeb, and azoxystrobin + benzovindiflupir + chlorothalonil, from the aforesaid doses. The first application of the treatments occurred in R1, in the absence of symptoms. The number of applications, intervals and the use of adjuvants were performed according to the recommendations by manufacturers. The variables analyzed were: disease severity, concentration of chlorophylls and carotenoids, photosynthetic rate (A), transpiration rate (E), stomatal conductance (gs), internal carbon concentration (Ci), instantaneous efficiency in water use (A/E), intrinsic water use efficiency (A/gs), and carboxylation efficiency (A/C). With these data collected, this study set to date the progress curve of each variable (AUPC). At the end of the crop cycle, the average of pods per plant was quantified, grain per pod, productivity and weight of 1,000 grains. It was concluded that: the addition of mancozeb to fluxapyroxad + pyraclostrobin, azoxystrobin + benzovindiflupir, trifloxystrobin + prothioconazole and tebuconazole + picoxystrobin potentiated the ASR control; adding mancozebe to the mixture azoxystrobin + benzovindiflupir provided better control of the disease compared to the addition of chlorothalonil; mancozeb amounts to AUPC concentration of photosynthetic pigments and when added to axozystrobin + tebuconazole + difenoconazole, increases the AUPC for total chlorophyll concentration, as well as when chlorothalonil was added; mancozeb added to the mix fluxapyroxad + pyraclostrobin raised the AUPC for A/Ci and A/gs, increasing the W1,000G and crop productivity; the addition of protectors similarly reflected on the productivity of culture.

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The petrochemical industry has as objective obtain, from crude oil, some products with a higher commercial value and a bigger industrial utility for energy purposes. These industrial processes are complex, commonly operating with large production volume and in restricted operation conditions. The operation control in optimized and stable conditions is important to keep obtained products quality and the industrial plant safety. Currently, industrial network has been attained evidence when there is a need to make the process control in a distributed way. The Foundation Fieldbus protocol for industrial network, for its interoperability feature and its user interface organized in simple configuration blocks, has great notoriety among industrial automation network group. This present work puts together some benefits brought by industrial network technology to petrochemical industrial processes inherent complexity. For this, a dynamic reconfiguration system for intelligent strategies (artificial neural networks, for example) based on the protocol user application layer is proposed which might allow different applications use in a particular process, without operators intervention and with necessary guarantees for the proper plant functioning

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The oscillations presents in control loops can cause damages in petrochemical industry. Canceling, or even preventing such oscillations, would save up to large amount of dollars. Studies have identified that one of the causes of these oscillations are the nonlinearities present on industrial process actuators. This study has the objective to develop a methodology for removal of the harmful effects of nonlinearities. Will be proposed an parameter estimation method to Hammerstein model, whose nonlinearity is represented by dead-zone or backlash. The estimated parameters will be used to construct inverse models of compensation. A simulated level system was used as a test platform. The valve that controls inflow has a nonlinearity. Results and describing function analysis show an improvement on system response

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A pesquisa tem como objetivo desenvolver uma estrutura de controle preditivo neural, com o intuito de controlar um processo de pH, caracterizado por ser um sistema SISO (Single Input - Single Output). O controle de pH é um processo de grande importância na indústria petroquímica, onde se deseja manter constante o nível de acidez de um produto ou neutralizar o afluente de uma planta de tratamento de fluidos. O processo de controle de pH exige robustez do sistema de controle, pois este processo pode ter ganho estático e dinâmica nãolineares. O controlador preditivo neural envolve duas outras teorias para o seu desenvolvimento, a primeira referente ao controle preditivo e a outra a redes neurais artificiais (RNA s). Este controlador pode ser dividido em dois blocos, um responsável pela identificação e outro pelo o cálculo do sinal de controle. Para realizar a identificação neural é utilizada uma RNA com arquitetura feedforward multicamadas com aprendizagem baseada na metodologia da Propagação Retroativa do Erro (Error Back Propagation). A partir de dados de entrada e saída da planta é iniciado o treinamento offline da rede. Dessa forma, os pesos sinápticos são ajustados e a rede está apta para representar o sistema com a máxima precisão possível. O modelo neural gerado é usado para predizer as saídas futuras do sistema, com isso o otimizador calcula uma série de ações de controle, através da minimização de uma função objetivo quadrática, fazendo com que a saída do processo siga um sinal de referência desejado. Foram desenvolvidos dois aplicativos, ambos na plataforma Builder C++, o primeiro realiza a identificação, via redes neurais e o segundo é responsável pelo controle do processo. As ferramentas aqui implementadas e aplicadas são genéricas, ambas permitem a aplicação da estrutura de controle a qualquer novo processo

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Dissertação (mestrado)—Universidade de Brasília, Faculdade UnB Planaltina, Programa de Pós-Graduação em Gestão Pública, Mestrado Profissional em Gestão Pública, 2016.

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The control of energy homeostasis relies on robust neuronal circuits that regulate food intake and energy expenditure. Although the physiology of these circuits is well understood, the molecular and cellular response of this program to chronic diseases is still largely unclear. Hypothalamic inflammation has emerged as a major driver of energy homeostasis dysfunction in both obesity and anorexia. Importantly, this inflammation disrupts the action of metabolic signals promoting anabolism or supporting catabolism. In this review, we address the evidence that favors hypothalamic inflammation as a factor that resets energy homeostasis in pathological states.

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Paraquat is a fast acting nonselective contact herbicide that is extensively used worldwide. However, the aqueous solubility and soil sorption of this compound can cause problems of toxicity in nontarget organisms. This work investigates the preparation and characterization of nanoparticles composed of chitosan and sodium tripolyphosphate (TPP) to produce an efficient herbicidal formulation that was less toxic and could be used for safer control of weeds in agriculture. The toxicities of the formulations were evaluated using cell culture viability assays and the Allium cepa chromosome aberration test. The herbicidal activity was investigated in cultivations of maize (Zea mays) and mustard (Brassica sp.), and soil sorption of the nanoencapsulated herbicide was measured. The efficiency association of paraquat with the nanoparticles was 62.6 ± 0.7%. Encapsulation of the herbicide resulted in changes in its diffusion and release as well as its sorption by soil. Cytotoxicity and genotoxicity assays showed that the nanoencapsulated herbicide was less toxic than the pure compound, indicating its potential to control weeds while at the same time reducing environmental impacts. Measurements of herbicidal activity showed that the effectiveness of paraquat was preserved after encapsulation. It was concluded that the encapsulation of paraquat in nanoparticles can provide a useful means of reducing adverse impacts on human health and the environment, and that the formulation therefore has potential for use in agriculture.

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The maintenance of glucose homeostasis is complex and involves, besides the secretion and action of insulin and glucagon, a hormonal and neural mechanism, regulating the rate of gastric emptying. This mechanism depends on extrinsic and intrinsic factors. Glucagon-like peptide-1 secretion regulates the speed of gastric emptying, contributing to the control of postprandial glycemia. The pharmacodynamic characteristics of various agents of this class can explain the effects more relevant in fasting or postprandial glucose, and can thus guide the individualized treatment, according to the clinical and pathophysiological features of each patient.

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The objective of this study was to analyze the prevalence of diabetes in older people and the adopted control measures. Data regarding older diabetic individuals who participated in the Health Surveys conducted in the Municipality of Sao Paulo, SP, ISA-Capital, in 2003 and 2008, which were cross-sectional studies, were analyzed. Prevalences and confidence intervals were compared between 2003 and 2008, according to sociodemographic variables. The combination of the databases was performed when the confidence intervals overlapped. The Chi-square (level of significance of 5%) and the Pearson's Chi-square (Rao-Scott) tests were performed. The variables without overlap between the confidence intervals were not tested. The age of the older adults was 60-69 years. The majority were women, Caucasian, with an income of between > 0.5 and 2.5 times the minimum salary and low levels of schooling. The prevalence of diabetes was 17.6% (95%CI 14.9;20.6) in 2003 and 20.1% (95%CI 17.3;23.1) in 2008, which indicates a growth over this period (p at the limit of significance). The most prevalent measure adopted by the older adults to control diabetes was hypoglycemic agents, followed by diet. Physical activity was not frequent, despite the significant differences observed between 2003 and 2008 results. The use of public health services to control diabetes was significantly higher in older individuals with lower income and lower levels of education. Diabetes is a complex and challenging disease for patients and the health systems. Measures that encourage health promotion practices are necessary because they presented a smaller proportion than the use of hypoglycemic agents. Public health policies should be implemented, and aimed mainly at older individuals with low income and schooling levels. These changes are essential to improve the health condition of older diabetic patients.

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A retrospective case-control study based on craniometrical evaluation was performed to evaluate the incidence of basilar invagination (BI). Patients with symptomatic tonsillar herniation treated surgically had craniometrical parameters evaluated based on CT scan reconstructions before surgery. BI was diagnosed when the tip of the odontoid trespassed the Chamberlain's line in three different thresholds found in the literature: 2, 5 or 6.6 mm. In the surgical group (SU), the mean distance of the tip of the odontoid process above the Chamberlain's line was 12 mm versus 1.2 mm in the control (CO) group (p<0.0001). The number of patients with BI according to the threshold used (2, 5 or 6.6 mm) in the SU group was respectively 19 (95%), 16 (80%) and 15 (75%) and in the CO group it was 15 (37%), 4 (10%) and 2 (5%).