880 resultados para Supervised brushing
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This work presents a suggestion of a security system of land automation having as objective main the creation of a system capable from easy method, supervise the installations of a building with the goal to preserver security personal and patrimonial necessities, aim at portability low cost and use easiness. Was designed an alarms central and access controller that has digital and analogical inputs for sensors and outputs for buzzer, telephonic dialing and electronic lock. The system is supervised by software that makes solicitations of information to the alarms central through the one computer's serial port (RS-232). The supervisory software was developed in platform LabVIEW with displays the received data on a graphical interface informing the sensors' current states distributed in the building and system events as alarns occurrences. This system also can be viewed through the Internet for people registered by the land security's system administrator
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This dissertation contributes for the development of methodologies through feed forward artificial neural networks for microwave and optical devices modeling. A bibliographical revision on the applications of neuro-computational techniques in the areas of microwave/optical engineering was carried through. Characteristics of networks MLP, RBF and SFNN, as well as the strategies of supervised learning had been presented. Adjustment expressions of the networks free parameters above cited had been deduced from the gradient method. Conventional method EM-ANN was applied in the modeling of microwave passive devices and optical amplifiers. For this, they had been proposals modular configurations based in networks SFNN and RBF/MLP objectifying a bigger capacity of models generalization. As for the training of the used networks, the Rprop algorithm was applied. All the algorithms used in the attainment of the models of this dissertation had been implemented in Matlab
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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The purpose of this paper was to evaluate attributes derived from fully polarimetric PALSAR data to discriminate and map macrophyte species in the Amazon floodplain wetlands. Fieldwork was carried out almost simultaneously to the radar acquisition, and macrophyte biomass and morphological variables were measured in the field. Attributes were calculated from the covariance matrix [C] derived from the single-look complex data. Image attributes and macrophyte variables were compared and analyzed to investigate the sensitivity of the attributes for discriminating among species. Based on these analyses, a rule-based classification was applied to map macrophyte species. Other classification approaches were tested and compared to the rule-based method: a classification based on the Freeman-Durden and Cloude-Pottier decomposition models, a hybrid classification (Wishart classifier with the input classes based on the H/a plane), and a statistical-based classification (supervised classification using Wishart distance measures). The findings show that attributes derived from fully polarimetric L-band data have good potential for discriminating herbaceous plant species based on morphology and that estimation of plant biomass and productivity could be improved by using these polarimetric attributes.
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The interest in the systematic analysis of astronomical time series data, as well as development in astronomical instrumentation and automation over the past two decades has given rise to several questions of how to analyze and synthesize the growing amount of data. These data have led to many discoveries in the areas of modern astronomy asteroseismology, exoplanets and stellar evolution. However, treatment methods and data analysis have failed to follow the development of the instruments themselves, although much effort has been done. In present thesis, we propose new methods of data analysis and two catalogs of the variable stars that allowed the study of rotational modulation and stellar variability. Were analyzed the photometric databases fromtwo distinctmissions: CoRoT (Convection Rotation and planetary Transits) and WFCAM (Wide Field Camera). Furthermore the present work describes several methods for the analysis of photometric data besides propose and refine selection techniques of data using indices of variability. Preliminary results show that variability indices have an efficiency greater than the indices most often used in the literature. An efficient selection of variable stars is essential to improve the efficiency of all subsequent steps. Fromthese analyses were obtained two catalogs; first, fromtheWFCAMdatabase we achieve a catalog with 319 variable stars observed in the photometric bands Y ZJHK. These stars show periods ranging between ∼ 0, 2 to ∼ 560 days whose the variability signatures present RR-Lyrae, Cepheids , LPVs, cataclysmic variables, among many others. Second, from the CoRoT database we selected 4, 206 stars with typical signatures of rotationalmodulation, using a supervised process. These stars show periods ranging between ∼ 0, 33 to ∼ 92 days, amplitude variability between ∼ 0, 001 to ∼ 0, 5 mag, color index (J - H) between ∼ 0, 0 to ∼ 1, 4 mag and spectral type CoRoT FGKM. The WFCAM variable stars catalog is being used to compose a database of light curves to be used as template in an automatic classifier for variable stars observed by the project VVV (Visible and Infrared Survey Telescope for Astronomy) moreover it are a fundamental start point to study different scientific cases. For example, a set of 12 young stars who are in a star formation region and the study of RR Lyrae-whose properties are not well established in the infrared. Based on CoRoT results we were able to show, for the first time, the rotational modulation evolution for an wide homogeneous sample of field stars. The results are inagreement with those expected by the stellar evolution theory. Furthermore, we identified 4 solar-type stars ( with color indices, spectral type, luminosity class and rotation period close to the Sun) besides 400 M-giant stars that we have a special interest to forthcoming studies. From the solar-type stars we can describe the future and past of the Sun while properties of M-stars are not well known. Our results allow concluded that there is a high dependence of the color-period diagram with the reddening in which increase the uncertainties of the age-period realized by previous works using CoRoT data. This thesis provides a large data-set for different scientific works, such as; magnetic activity, cataclysmic variables, brown dwarfs, RR-Lyrae, solar analogous, giant stars, among others. For instance, these data will allow us to study the relationship of magnetic activitywith stellar evolution. Besides these aspects, this thesis presents an improved classification for a significant number of stars in the CoRoT database and introduces a new set of tools that can be used to improve the entire process of the photometric databases analysis
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Cutting analysis is a important and crucial task task to detect and prevent problems during the petroleum well drilling process. Several studies have been developed for drilling inspection, but none of them takes care about analysing the generated cutting at the vibrating shale shakers. Here we proposed a system to analyse the cutting's concentration at the vibrating shale shakers, which can indicate problems during the petroleum well drilling process, such that the collapse of the well borehole walls. Cutting's images are acquired and sent to the data analysis module, which has as the main goal to extract features and to classify frames according to one of three previously classes of cutting's volume. A collection of supervised classifiers were applied in order to allow comparisons about their accuracy and efficiency. We used the Optimum-Path Forest (OPF), Artificial Neural Network using Multi layer Perceptrons (ANN-MLP), Support Vector Machines (SVM) and a Bayesian Classifier (BC) for this task. The first one outperformed all the remaining classifiers. Recall that we are also the first to introduce the OPF classifier in this field of knowledge. Very good results show the robustness of the proposed system, which can be also integrated with other commonly system (Mud-Logging) in order to improve the last one's efficiency.
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Pulmonary Rehabilitation, especially due to aerobic exercise, positive impact in reducing morbidity/mortality of patients with COPD, however the economic impact with costs of implementing simple programs of aerobic exercise are scarce. This is a blind randomized clinical trials, which aimed to evaluate the costs and benefits of a simple program of aerobic exercise in individuals with COPD, considering the financial costs of the Public Health System and its secondary endpoints. We evaluated lung function, the distance walked during six minutes of walking, the respiratory and peripheral muscle strength, quality of life related to health (QLRH), body composition and level of activity of daily living (ADL) before and after eight weeks of an aerobic exercise program consisting of educational guidance for both groups, control and intervention and supervised walks to the intervention group. The health costs generated in both groups were calculated following table Brazilian Public Health System. The sample consisted of forty patients, two being excluded in the initial phase of desaturation during the walk test six minutes. Were randomized into control and intervention group thirty-eight patients, three were excluded from the control group and one was excluded from the intervention group. At the end, thirty-four COPD comprised the sample, 16 in the control group and 18 in the intervention group (FEV1: 50.9 ± 14% pred and FEV1: 56 ± 0.5% pred, respectively). After for intervention, the intervention group showed improvement in meters walked, the sensation of dyspnea and fatigue at work, BODE index (p <0.01) in QLRH, ADL level (p <0.001) as well as increased strength lower limbs (p <0.05). The final cost of the program for the intervention group was R $ 148.75, including: assessments, hiking supervised by a physiotherapist and reassessments. No patient had exacerbation of IG, while 2 patients in the CG exacerbated, generating an average individual cost of R $ 689.15. The aerobic exercises in the form of walking showed significant clinical benefits and economic feasibility of its implementation, due to low cost and easy accessibility for patients, allowing them to add their daily practice of aerobic exercises
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The purpose of this study was evaluate the effectiveness of the chitosan at 0.4 with high molecular weight and high deacetylation degree mouthrinse over the total decrease of the streptococci, Streptococcus mutans, lactobaci/li and over the perceptible bacterial film and gingival bleeding indices. For that, a total of 68 healthy students between 11 and 13 years old, not allergic to crustacean and not users of antibiotics or antimicrobial agent for the last three months or during the treatment, was selected. From those, thirty two individuaIs used the mouthrinse test, and thirty six, the control one. The participants rinsed 10 mL of the solutions twice a day, one during the moming (which was supervised), and another one during the aftemoon (which was not supervised), for fifteen days. The saliva collect for the microbiological analysis, as well as the perceptible bacterial film and gingival bleeding indices check, were made before the use ofthe mouthrinses (base line), immediately after the last mouthrinse on the day (zero time) and fifteen days after (fifteen time). These data were collected at school and the saliva was carried inside the ice to the laboratory. The samples were diluted, and 0.1 mL ofthe 10 -1 dilution was seeded in Rogosa SL agar, for further analysis of the total of lactobaci/lus~ 0.1 mL of the 10-4 dilution in Mitis Salivarius with bacitracin, for S. mutans analysis; and 0.1 mL of the 10-6 dilution in Mitis Salivarius for the analysis ofthe total of streptococcus. The Rogosa SL agar plates were incubated in aerobic at 37°C for 72 hours and the MSB and the MS were incubated in anaerobic in Gaspak@ jars at 37°C for 48 hours for further count ofColonies Former Units (CFUs). The assay was made in duplicate for each bacterial group analyzed. The number of CFUs transformed in LOGlO was analyzed according to the following tests: ANOV A, t of Paired and Not Paired Student, Friedman, Man-Whitney and square-qui test. On the base line, alI the variables analyzed were similar on both tested groups. On both groups, for the total of streptococcus there was no significant difference along the time and for S. mutans there was a statistic significant increase of the CFUs from the base line to the zero time. For the total of lactobaccilus there was no significant difference on the test group along the time, and on the control there was a significant increase ofthe CFUs ITom the base line to the zero time. For both groups, there was significant decrease ofthe perceptible bacterial film index along the time, and that can be explained by the mechanic effect of the mouthrinse over the bacterial film and by the participation of the students on the research which could have motivated him to a better toothbrushing (Hawthome effect). The gingival bleeding index also showed a decrease along the time, even though it was not significant. Therefore, the conclusion of this study was that the chitosan at 0.4 % mouthrinse was not effective on the CFUs reduction of the three bacterial groups analyzed, as well as on the reduction of the perceptible bacterial film and gingival bleeding indices
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The presence of fixed orthodontics appliances interfere on sanitation, allowing periodontal diseases to appear, despite the fact patients keep on visiting the dentist every month. This research aims to determine a protocol for the mechanical control of the dental biofilm performed by the professional. A protocol that was able to maintain the periodontal health of the patients under orthodontic treatment with fixed appliances, and in order to do so, it used a non-controlled, randomized and blind clinical essay. The sample involved 40 adolescents who were under the installation of fixed orthodontics appliances and it was divided in three groups, as follows: monthly controlled group (group 1) composed of 11 patients, the quarterly controlled group (group 2) with 16 patients and the semestrial controlled group (group 3) with 13 patients. For data collection, an interview and clinical exams with probing depth measurement, quantity of keratinized mucosa, Gingival Index and the Plaque Index were used. On the initial exam all patients received brushing guidelines as well as the professional control of dental biofilm, with periodontal scaler, Robinson s brush and prophylactic paste. However, Group 1 returned every month for control procedures; Group 2 every three months and Group 3 after six months. The intervention had a six-month duration (for all the three groups), when all the exams were repeated by another examiner who did not know which group each patient was inserted in. Finally, the research concluded that despite the fact there is no statistically significant difference among the three groups, clinically the patients from the monthly group presented a better response to professional control, with less accumulation of dental biofilm and less rate of gingival inflammation. Thus, the mechanical control of the dental biofilm performed by the professional could not avoid gingival increase, characterized by the raise of probing depth measurement, neither the quantity of keratinized mucosa
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The use of non-human primates in scientific research has contributed significantly to the biomedical area and, in the case of Callithrix jacchus, has provided important evidence on physiological mechanisms that help explain its biology, making the species a valuable experimental model in different pathologies. However, raising non-human primates in captivity for long periods of time is accompanied by behavioral disorders and chronic diseases, as well as progressive weight loss in most of the animals. The Primatology Center of the Universidade Federal do Rio Grande do Norte (UFRN) has housed a colony of C. jacchus for nearly 30 years and during this period these animals have been weighed systematically to detect possible alterations in their clinical conditions. This procedure has generated a volume of data on the weight of animals at different age ranges. These data are of great importance in the study of this variable from different perspectives. Accordingly, this paper presents three studies using weight data collected over 15 years (1985-2000) as a way of verifying the health status and development of the animals. The first study produced the first article, which describes the histopathological findings of animals with probable diagnosis of permanent wasting marmoset syndrome (WMS). All the animals were carriers of trematode parasites (Platynosomum spp) and had obstruction in the hepatobiliary system; it is suggested that this agent is one of the etiological factors of the syndrome. In the second article, the analysis focused on comparing environmental profile and cortisol levels between the animals with normal weight curve evolution and those with WMS. We observed a marked decrease in locomotion, increased use of lower cage extracts and hypocortisolemia. The latter is likely associated to an adaptation of the mechanisms that make up the hypothalamus-hypophysis-adrenal axis, as observed in other mammals under conditions of chronic malnutrition. Finally, in the third study, the animals with weight alterations were excluded from the sample and, using computational tools (K-means and SOM) in a non-supervised way, we suggest found new ontogenetic development classes for C. jacchus. These were redimensioned from five to eight classes: infant I, infant II, infant III, juvenile I, juvenile II, sub-adult, young adult and elderly adult, in order to provide a more suitable classification for more detailed studies that require better control over the animal development
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Phenomenology is the focus of this study for its critique of the limits of positivist science, which guides most of the fields of study including Psychology. The clinical formation process in Psychology courses is especially difficult for students-interns who adopt phenomenology as their clinical framework. Such difficulty is due to the incompatibility between theory provided in Psychology courses a science traditionally based on paradigms of scientism , and the theoretical-methodological proposal adopted by the aforementioned approach. As a backdrop for our study, we carefully examined the thought of philosopher Martin Heidegger, especially the Era of Technique. This contemporary technicism society was studied so that we could understand the socio-cultural status where this formation lies. Thus, we questioned if this panorama upon which Clinical Psychology rests favors the development of a phenomenological attitude and a special look at the meanings of existence, as defined in phenomenological clinical practice. Knowing such limits, our research aimed at understanding the experience of formation of clinical psychologists who take part in internships in the field of phenomenology-existentialism. Such study was, then, a phenomenological-hermeneutic research based on Heideggerian ontology and used a semi-structured interview as access tool. Six students of the UFRN higher-degree Psychology course who were doing their supervised internship in clinical psychology and the referred approach took part in this research. The research revealed that the phenomenological-existential formation phase opens a door to discoveries on the part of the intern that transcend the dimension of the other, for they show a self disclosure while a person in the word. Despite the initial discomforts caused by the course curriculum itself and by the freedom for clinical practice, so characteristic of phenomenology, the narratives demonstrate that such difficulties may start a process of search for new meanings, which show a search for sharpening their practices and for a path in balance with the existence of the other
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School psychology can be considered a growing professional field in Brazil, in spite of the difficulties concerning both the role of the psychologists in the schools and the restrictions of the labor market. Professional training is one of the most problems faced by the area. The present study is an attempt to investigate the conceptions of school psychology and the practice of the school psychologists inside de educational agencies, from the point of view of the professional training, expressed by curricular supervised training. The reason for this choice was the important role played by supervised training in the process of professional training. To carry out this study, supervised training reports written in the 1980s and the 1990s used in the student evaluation process were examined. As the main results, we point out the co-existence during the 1980-decade of two models of psychological practice: the clinical and the educational, with the dominance of the first one. During the 1990-decade, we can observe the co-existence of the same models with the dominance (but not the hegemony) of the educational model, as shown by the activities of the students. In the 1980s, for instance, the most common activities were observation of the children (45.9%), teachers guidance (40.5%) and psychodiagnostic (37.8%). In the 1990s, the main activities were participation in staff briefings (66.6%), parents guidance (58.0%), teachers guidance (50.0%) and students counseling (41.6%). Aspects related to the importance of professional training - represented by curricular supervised training - to the professional practice are discussed
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Although some individual techniques of supervised Machine Learning (ML), also known as classifiers, or algorithms of classification, to supply solutions that, most of the time, are considered efficient, have experimental results gotten with the use of large sets of pattern and/or that they have a expressive amount of irrelevant data or incomplete characteristic, that show a decrease in the efficiency of the precision of these techniques. In other words, such techniques can t do an recognition of patterns of an efficient form in complex problems. With the intention to get better performance and efficiency of these ML techniques, were thought about the idea to using some types of LM algorithms work jointly, thus origin to the term Multi-Classifier System (MCS). The MCS s presents, as component, different of LM algorithms, called of base classifiers, and realized a combination of results gotten for these algorithms to reach the final result. So that the MCS has a better performance that the base classifiers, the results gotten for each base classifier must present an certain diversity, in other words, a difference between the results gotten for each classifier that compose the system. It can be said that it does not make signification to have MCS s whose base classifiers have identical answers to the sames patterns. Although the MCS s present better results that the individually systems, has always the search to improve the results gotten for this type of system. Aim at this improvement and a better consistency in the results, as well as a larger diversity of the classifiers of a MCS, comes being recently searched methodologies that present as characteristic the use of weights, or confidence values. These weights can describe the importance that certain classifier supplied when associating with each pattern to a determined class. These weights still are used, in associate with the exits of the classifiers, during the process of recognition (use) of the MCS s. Exist different ways of calculating these weights and can be divided in two categories: the static weights and the dynamic weights. The first category of weights is characterizes for not having the modification of its values during the classification process, different it occurs with the second category, where the values suffers modifications during the classification process. In this work an analysis will be made to verify if the use of the weights, statics as much as dynamics, they can increase the perfomance of the MCS s in comparison with the individually systems. Moreover, will be made an analysis in the diversity gotten for the MCS s, for this mode verify if it has some relation between the use of the weights in the MCS s with different levels of diversity
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The techniques of Machine Learning are applied in classification tasks to acquire knowledge through a set of data or information. Some learning methods proposed in literature are methods based on semissupervised learning; this is represented by small percentage of labeled data (supervised learning) combined with a quantity of label and non-labeled examples (unsupervised learning) during the training phase, which reduces, therefore, the need for a large quantity of labeled instances when only small dataset of labeled instances is available for training. A commom problem in semi-supervised learning is as random selection of instances, since most of paper use a random selection technique which can cause a negative impact. Much of machine learning methods treat single-label problems, in other words, problems where a given set of data are associated with a single class; however, through the requirement existent to classify data in a lot of domain, or more than one class, this classification as called multi-label classification. This work presents an experimental analysis of the results obtained using semissupervised learning in troubles of multi-label classification using reliability parameter as an aid in the classification data. Thus, the use of techniques of semissupervised learning and besides methods of multi-label classification, were essential to show the results