Identificação não linear usando uma rede fuzzy wavelet neural network modificada

In last decades, neural networks have been established as a major tool for the identification of nonlinear systems. Among the various types of networks used in identification, one that can be highlighted is the wavelet neural network (WNN). This network combines the characteristics of wavelet multiresolution theory with learning ability and generalization of neural networks usually, providing more accurate models than those ones obtained by traditional networks. An extension of WNN networks is to combine the neuro-fuzzy ANFIS (Adaptive Network Based Fuzzy Inference System) structure with wavelets, leading to generate the Fuzzy Wavelet Neural Network - FWNN structure. This network is very similar to ANFIS networks, with the difference that traditional polynomials present in consequent of this network are replaced by WNN networks. This paper proposes the identification of nonlinear dynamical systems from a network FWNN modified. In the proposed structure, functions only wavelets are used in the consequent. Thus, it is possible to obtain a simplification of the structure, reducing the number of adjustable parameters of the network. To evaluate the performance of network FWNN with this modification, an analysis of network performance is made, verifying advantages, disadvantages and cost effectiveness when compared to other existing FWNN structures in literature. The evaluations are carried out via the identification of two simulated systems traditionally found in the literature and a real nonlinear system, consisting of a nonlinear multi section tank. Finally, the network is used to infer values of temperature and humidity inside of a neonatal incubator. The execution of such analyzes is based on various criteria, like: mean squared error, number of training epochs, number of adjustable parameters, the variation of the mean square error, among others. The results found show the generalization ability of the modified structure, despite the simplification performed

Estudo da topologia de redes de conexão funcional no córtex sensorial primário e hipocampo durante o sono de ondas lentas

Complex network analysis is a powerful tool into research of complex systems like brain networks. This work aims to describe the topological changes in neural functional connectivity networks of neocortex and hippocampus during slow-wave sleep (SWS) in animals submited to a novel experience exposure. Slow-wave sleep is an important sleep stage where occurs reverberations of electrical activities patterns of wakeness, playing a fundamental role in memory consolidation. Although its importance there s a lack of studies that characterize the topological dynamical of functional connectivity networks during that sleep stage. There s no studies that describe the topological modifications that novel exposure leads to this networks. We have observed that several topological properties have been modified after novel exposure and this modification remains for a long time. Major part of this changes in topological properties by novel exposure are related to fault tolerance

Atenção à saúde mental na Estratégia Saúde da Família no Município de Parnamirim/RN: opinião dos profissionais, dos portadores de transtornos mentais e seus acompanhantes

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

Ferramenta para avaliação e inferência de parâmetros de redes industriais sem fio

Wireless sensor networks (WSN) have gained ground in the industrial environment, due to the possibility of connecting points of information that were inaccessible to wired networks. However, there are several challenges in the implementation and acceptance of this technology in the industrial environment, one of them the guaranteed availability of information, which can be influenced by various parameters, such as path stability and power consumption of the field device. As such, in this work was developed a tool to evaluate and infer parameters of wireless industrial networks based on the WirelessHART and ISA 100.11a protocols. The tool allows quantitative evaluation, qualitative evaluation and evaluation by inference during a given time of the operating network. The quantitative and qualitative evaluation are based on own definitions of parameters, such as the parameter of stability, or based on descriptive statistics, such as mean, standard deviation and box plots. In the evaluation by inference uses the intelligent technique artificial neural networks to infer some network parameters such as battery life. Finally, it displays the results of use the tool in different scenarios networks, as topologies star and mesh, in order to attest to the importance of tool in evaluation of the behavior of these networks, but also support possible changes or maintenance of the system.