4 resultados para NETWORK DESIGN PROBLEMS

em Universidade Federal do Rio Grande do Norte(UFRN)


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This study aims to analyze and compare the opinion of professionals, managers and users about the mental health care in the Family Health Strategy (FHS). It is characterized as an Operations Research or Health System Research with a cross-sectional design and a descriptive quantitative nature. The study was developed from the application of the Opinion Measurement Scale allied to techniques of observation and structured interview in the city of Parnamirim / RN. The sample consists of 409 subjects, 209 professionals of the Family Health Strategy, 30 of the Oral Health Strategy, 19 of the Family Health Support Center, 24 directors of Basic Health Units, plus 68 users with mental disorders and 59 caregivers, respecting the ethical parameters of Resolution 196/96 of the National Health Council, trial registration number: CAAE 0003.0.051.000-11. Quantitative data were submitted to the Epi-info 3.5.2 for analysis. The network of mental health in Parnamirim involves the flow between the FHS, Psychosocial Care Centers, clinics and hospitals, having as main barriers the fragility of the referral and counter-referral system, of the municipal health conferences, of the FHS teams by the limitations in material and human resources as well as the population´s lack of acknowledge about the organization of the mental health network, issues that affect the integral attention. Even though the FHS professionals recognize the importance of their actions, they question their role in mental health care, experiencing difficulties in accessing psychiatric services (76.5%). Although most agree that the mentally ill is best treated in the family than in hospital (65.2%), the community health workers were the predominant category in the partial or total disagreement of this statement (40.8%), who is the professional in greater contact with the family. Nevertheless the caregivers miss the support of the FHS as the main focus of attention is on revenue control. The views of professionals, mental patients and caregivers converged in several statements, showing the main weaknesses to be focused by the mental health network of the city, as the perceptions that: (a) physical strength is needed to take care of mental patients for its tendency to aggression, requiring it to stay in the sanatorium for representing danger to society, (b) only a psychiatrist can help the person with emotional problems, (c) the user of alcohol and drugs does not necessarily develop mental illness, (d) the access barriers and doubts about the quality of psychiatric services, (e) caring of a mental health patient does not bring suffering to professionals. Therefore, the commitment to consensus building, monitoring and evaluation of the network are important mechanisms for an effective management system, reflecting in the importance of strengthening the health conferences and approximating different institutions. The results reinforce the importance of strengthening primary care through programs of continuing education focusing on the actions and functions of professionals in accordance with its competences and duties what contribute to the organization and response of mental health care, favoring user´s care and the promotion of family health

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This work proposes hardware architecture, VHDL described, developed to embedded Artificial Neural Network (ANN), Multilayer Perceptron (MLP). The present work idealizes that, in this architecture, ANN applications could easily embed several different topologies of MLP network industrial field. The MLP topology in which the architecture can be configured is defined by a simple and specifically data input (instructions) that determines the layers and Perceptron quantity of the network. In order to set several MLP topologies, many components (datapath) and a controller were developed to execute these instructions. Thus, an user defines a group of previously known instructions which determine ANN characteristics. The system will guarantee the MLP execution through the neural processors (Perceptrons), the components of datapath and the controller that were developed. In other way, the biases and the weights must be static, the ANN that will be embedded must had been trained previously, in off-line way. The knowledge of system internal characteristics and the VHDL language by the user are not needed. The reconfigurable FPGA device was used to implement, simulate and test all the system, allowing application in several real daily problems

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This work was motivated by the importance of conducting a study of vehicle emissions in captive fleets with diesel engine, coupled with the predictive maintenance plan. This type of maintenance includes techniques designed to meet the growing market demand to reduce maintenance costs by increasing the reliability of diagnoses, which has increased interest in automated predictive maintenance on diesel engines, preventing problems that might evolve into routine turn into serious situations, solved only with complex and costly repairs, the Reliability Centered Maintenance, will be the methodology that will make our goal is reached, beyond maintaining the vehicles regulated as fuel consumption and emissions. To Therefore, technical improvements were estimated capable of penetrating the automotive market and give the inshore fleet emission rates of opacity of the vehicles, being directly related to the conditions of the lubricating oil thus contributing to reducing maintenance costs by contributing significantly to emissions of pollutants and an improvement in the air in large cities. This criterion was adopted and implemented, em 241 buses and produced a diagnosis of possible failures by the correlation between the characterization of used lubricating oils and the analysis of opacity, with the objective of the aid the detection and solution of failures for the maintenance of sub-systems according to design criteria, and for this to be a deductive methodology to determine potential causes of failures, has been automated to implement a predictive maintenance system for this purpose was used in our study a mobile unit equipped with a opacimeter and a kit for collection and analysis of lubricating oil and the construction of the network diagnostics, we used a computer program in Microsoft Office Access 2007 platform tool is indispensable for creating a database data, this method is being used and successfully implemented in seven (7) bus companies from the city of Natal (RN) Brazil

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With water pollution increment at the last years, so many progresses in researches about treatment of contaminated waters have been developed. In wastewaters containing highly toxic organic compounds, which the biological treatment cannot be applied, the Advanced Oxidation Processes (AOP) is an alternative for degradation of nonbiodegradable and toxic organic substances, because theses processes are generation of hydroxyl radical based on, a highly reactivate substance, with ability to degradate practically all classes of organic compounds. In general, the AOP request use of special ultraviolet (UV) lamps into the reactors. These lamps present a high electric power demand, consisting one of the largest problems for the application of these processes in industrial scale. This work involves the development of a new photochemistry reactor composed of 12 low cost black light fluorescent lamps (SYLVANIA, black light, 40 W) as UV radiation source. The studied process was the photo-Fenton system, a combination of ferrous ions, hydrogen peroxide, and UV radiation, it has been employed for the degradation of a synthetic wastewater containing phenol as pollutant model, one of the main pollutants in the petroleum industry. Preliminary experiments were carrier on to estimate operational conditions of the reactor, besides the effects of the intensity of radiation source and lamp distribution into the reactor. Samples were collected during the experiments and analyzed for determining to dissolved organic carbon (DOC) content, using a TOC analyzer Shimadzu 5000A. The High Performance Liquid Chromatography (HPLC) was also used for identification of the cathecol and hydroquinone formed during the degradation process of the phenol. The actinometry indicated 9,06⋅1018 foton⋅s-1 of photons flow, for 12 actived lamps. A factorial experimental design was elaborated which it was possible to evaluate the influence of the reactants concentration (Fe2+ and H2O2) and to determine the most favorable experimental conditions ([Fe2+] = 1,6 mM and [H2O2] = 150,5 mM). It was verified the increase of ferrous ions concentration is favorable to process until reaching a limit when the increase of ferrous ions presents a negative effect. The H2O2 exhibited a positive effect, however, in high concentrations, reaching a maximum ratio degradation. The mathematical modeling of the process was accomplished using the artificial neural network technique