24 resultados para Vehicle counting and classification

em Universidade Federal do Rio Grande do Norte(UFRN)


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Several are the areas in which digital images are used in solving day-to-day problems. In medicine the use of computer systems have improved the diagnosis and medical interpretations. In dentistry it’s not different, increasingly procedures assisted by computers have support dentists in their tasks. Set in this context, an area of dentistry known as public oral health is responsible for diagnosis and oral health treatment of a population. To this end, oral visual inspections are held in order to obtain oral health status information of a given population. From this collection of information, also known as epidemiological survey, the dentist can plan and evaluate taken actions for the different problems identified. This procedure has limiting factors, such as a limited number of qualified professionals to perform these tasks, different diagnoses interpretations among other factors. Given this context came the ideia of using intelligent systems techniques in supporting carrying out these tasks. Thus, it was proposed in this paper the development of an intelligent system able to segment, count and classify teeth from occlusal intraoral digital photographic images. The proposed system makes combined use of machine learning techniques and digital image processing. We first carried out a color-based segmentation on regions of interest, teeth and non teeth, in the images through the use of Support Vector Machine. After identifying these regions were used techniques based on morphological operators such as erosion and transformed watershed for counting and detecting the boundaries of the teeth, respectively. With the border detection of teeth was possible to calculate the Fourier descriptors for their shape and the position descriptors. Then the teeth were classified according to their types through the use of the SVM from the method one-against-all used in multiclass problem. The multiclass classification problem has been approached in two different ways. In the first approach we have considered three class types: molar, premolar and non teeth, while the second approach were considered five class types: molar, premolar, canine, incisor and non teeth. The system presented a satisfactory performance in the segmenting, counting and classification of teeth present in the images.

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Several are the areas in which digital images are used in solving day-to-day problems. In medicine the use of computer systems have improved the diagnosis and medical interpretations. In dentistry it’s not different, increasingly procedures assisted by computers have support dentists in their tasks. Set in this context, an area of dentistry known as public oral health is responsible for diagnosis and oral health treatment of a population. To this end, oral visual inspections are held in order to obtain oral health status information of a given population. From this collection of information, also known as epidemiological survey, the dentist can plan and evaluate taken actions for the different problems identified. This procedure has limiting factors, such as a limited number of qualified professionals to perform these tasks, different diagnoses interpretations among other factors. Given this context came the ideia of using intelligent systems techniques in supporting carrying out these tasks. Thus, it was proposed in this paper the development of an intelligent system able to segment, count and classify teeth from occlusal intraoral digital photographic images. The proposed system makes combined use of machine learning techniques and digital image processing. We first carried out a color-based segmentation on regions of interest, teeth and non teeth, in the images through the use of Support Vector Machine. After identifying these regions were used techniques based on morphological operators such as erosion and transformed watershed for counting and detecting the boundaries of the teeth, respectively. With the border detection of teeth was possible to calculate the Fourier descriptors for their shape and the position descriptors. Then the teeth were classified according to their types through the use of the SVM from the method one-against-all used in multiclass problem. The multiclass classification problem has been approached in two different ways. In the first approach we have considered three class types: molar, premolar and non teeth, while the second approach were considered five class types: molar, premolar, canine, incisor and non teeth. The system presented a satisfactory performance in the segmenting, counting and classification of teeth present in the images.

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This study focuses on the building ensemble of Avenida Roberto Freire, a main road in Natal, Brazil, as a material expression of the confluence of various factors among which the following may be emphasized: high level of accessibility due to urban spatial re-structuring and the growth of the real estate market, in view of the increasing number of consumers, who arrived in Natal within the last decades. The intense urban modification process that has been going on in Natal since at least the 1980s, has engendered the formation of long axial lines which express the expansion dynamics and some of the forces subjacent to it. Avenida Roberto Freire has been an iconic example of an urban thoroughfare where architecture becomes primarily a communication support that can be perceived by fast moving passers-by, what brings it close to the venturian concept of strip (Venturi at al, 1972). The building types that line the road not only respond to the dynamics in process but also contribute to intensify it, as they house a variety of uses which attract people and generate more movement. The dynamics is further strengthened by the action of the real estate business which benefits from the increase of highly accessible locations, and from the private and public investments and incentives to tourism that aim to insert this city into the globalized world. Although the intention of reconstituting part of the history of density increase on this avenue in a diachronical perspective was attempted within the limits of the available references and documentation, the central contribution of this study is to understand the relations between topological accessibility and the typological nature of the building ensemble. By observing the synchronic morphological frame resulting from the spatial configuration analysis pertinent to this avenue (cf. Hillier and Hanson,1984) and the inventory and classification of the building ensemble there existing, this study aims to understand how architecture responds to accessibility in view of the real estate pressure, boosted by a cosmopolitanizing process brought about by the continuous flow of foreign and Brazilian arrivals as visitors, temporary or permanent residents

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The Noise Pollution causes degradation in the quality of the environment and presents itself as one of the most common environmental problems in the big cities. An Urban environment present scenario and their complex acoustic study need to consider the contribution of various noise sources. Accordingly to computational models through mapping and prediction of acoustic scene become important, because they enable the realization of calculations, analyzes and reports, allowing the interpretation of satisfactory results. The study neighborhood is the neighborhood of Lagoa Nova, a central area of the city of Natal, which will undergo major changes in urban space due to urban mobility projects planned for the area around the stadium and the consequent changes of urban form and traffic. Thus, this study aims to evaluate the noise impact caused by road and morphological changes around the stadium Arena das Dunas in the neighborhood of Lagoa Nova, through on-site measurements and mapping using the computational model SoundPLAN year 2012 and the scenario evolution acoustic for the year 2017. For this analysis was the construction of the first acoustic mapping based on current diagnostic acoustic neighborhood, physical mapping, classified vehicle count and measurement of sound pressure level, and to build the prediction of noise were observed for the area study the modifications provided for traffic, urban form and mobility work. In this study, it is concluded that the sound pressure levels of the year in 2012 and 2017 extrapolate current legislation. For the prediction of noise were numerous changes in the acoustic scene, in which the works of urban mobility provided will improve traffic flow, thus reduce the sound pressure level where interventions are expected

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This master dissertation presents the study and implementation of inteligent algorithms to monitor the measurement of sensors involved in natural gas custody transfer processes. To create these algoritmhs Artificial Neural Networks are investigated because they have some particular properties, such as: learning, adaptation, prediction. A neural predictor is developed to reproduce the sensor output dynamic behavior, in such a way that its output is compared to the real sensor output. A recurrent neural network is used for this purpose, because of its ability to deal with dynamic information. The real sensor output and the estimated predictor output work as the basis for the creation of possible sensor fault detection and diagnosis strategies. Two competitive neural network architectures are investigated and their capabilities are used to classify different kinds of faults. The prediction algorithm and the fault detection classification strategies, as well as the obtained results, are presented

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Tamoxifen (TX), a drug used in the treatment of breast cancer, may cause hepatic changes in some patients. The consequences of its use on the liver tissues of rats with or without diabetes mellitus (DM) have not been fully explored. The purpose of this multidisciplinary study was to evaluate the correlation between plasma hepatic enzyme levels and the presence of iron overload in the hepatic tissue of female Wistar rats with or without streptozotocin-induced DM and using TX. Female rats were studied in control groups: C-0 (non-drug users), C-V (sorbitol vehicle only) and C-TX (using TX). DM (diabetic non-drug users) and DM-TX (diabetics using TX) were the test groups. Sixty days after induced DM, blood samples were collected for glucose, alanine aminotransferase (ALT), aspartate aminotransferase (AST) alkaline phosphatase (ALP) and bilirubin measures. Hepatic fragments were processed and stained with hematoxylin and eosin (H&E), Masson s trichrome, Perls. The hepatic iron content was quantified by atomic absorption spectrometry. AST, ALT and ALP levels were significantly elevated in the DM and DM-TX groups, with unchanged bilirubin levels. Liver iron overload using Perls stain and atomic absorption spectrometry were observed exclusively in groups C-TX and DM-TX. There was positive correlation between AST, ALT and ALP levels and microscopic hepatic siderosis intensity in group DM-TX. In conclusion, TX administration is associated with liver siderosis in diabetic and non-diabetic rats. In addition, TX induced liver iron overload with unaltered hepatic function in 2 non-diabetic rats and may be a useful tool for investigating the biological control of iron metabolism

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Chronic lymphoproliferative disorders (DLPC) are lymphoid system diseases characterized by the abnormal proliferation of mature lymphocytes that affect B cells, T lymphocytes and NK cells. The aim of the study was to demonstrate the relevance of immunophenotyping by flow cytometry in patients with prolonged lymphocytosis and / or cytomorphological changes compatible with lymphoproliferative diseases. In this study 460 patients (244 men and 216 women) with DLPC were evaluated. Were analyzed by flow cytometry with a panel of monoclonal antibodies consisting of CD3, CD4, CD5, CD8, CD10, CD19, CD22, CD23, CD25, CD38, CD45, CD16/CD56, and HLADR heavy and light chains of immunoglobulins. It also examines information regarding age, gender of patients and laboratory data as leucocytes, cytomorphological analysis, platelet count and hemoglobin determination. The results showed 398 cases of chronic lymphoproliferative disorders and 62 of DLPC B cell lymphoproliferative diseases T. B showed the following distribution : 253 cases of chronic lymphocytic leukemia (CLL), 42 cases of multiple myeloma ( MM ), 37 cases of lymphoma non - Hodgkin lymphoma in leukemic phase (NHL) , 17 cases of pro- B lymphocytic leukemia ( B -PLL), 15 cases of mantle cell lymphoma (MCL ), 12 cases of plasma cell leukemia ( PCL), 9 cases of lymphoma Burkitt (Linf B), 8 cases of leukemia villous cells ( LCV), 3 cases of splenic lymphoma with villous cells (LECV), a case of follicular lymphoma (LF) and a Waldenströn macroglobulinemia ( MW). The diseases source NK / T were 23 cases of peripheral T cell lymphoma (LCTP), 14 cases of T prolymphocytic leukemia (T -PLL), 10 cases of leukemia T of large granular lymphocytes (LGL -T) 9 cases of leukemia cells of adult T (LCTA), 5 cases of Sezary syndrome (SS) and a case of large granular NK leukemia (LGL -NK) lymphocytes. In conclusion, the combined use of the monoclonal antibody panel careful cytomorphological analysis was shown to be essential in immune diagnosis and classification of chronic lymphoproliferative disorders. This study was approved by the IRB - HUOL under number 356 / 09

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The acute myeloid leukemia (AML) is a disease in which malignant myeloblasts expand, build up and suppress normal hematopoietic activity would represent a major diagnostic challenge. With the advent of immunophenotyping by flow cytometry, the diagnosis of these tumors have become more faithful, facilitating the treatment and monitoring of patients. The objectives of this study: diagnosis and classification of AML based on immunophenotyping by flow cytometry with a panel of AcMo specific for acute leukemias, set the frequency of AML in samples from patients with acute leukemias sent to the Department of Hematology Blood Center of Rio Grande do Norte - HEMONORTE, establish standards of antigen expression for different subtypes of acute leukemia and its correlation with the newly diagnosed cases refractory to treatment and recurrence of the disease, standardization of methods for detection and labeling of surface antigens by flow cytometry and intracytoplasmic flow, and observe the frequency of acute leukemia with aberrant phenotypes rare. During the study, 351 were diagnosed acute leukemia, and 179 (51%) classified as AML and 172 (49%) and ALL, which were excluded from the present work. Of the 179 AML, 92 (51.4%) were female and 87 (48.6%) were male, with ages ranging from 3 to 95 years of ag, with higher incidence in individuals in the age group of 41 to 65. Splenomegaly was the clinical finding more present, a total of 147 cases (82.1%), followed by hepatomegaly present in 132 cases (73.7%). The hemorrhagic events were observed in 55 cases (30.7%). Lymphadenopathy in turn was detected in 20 of 179 cases (11.2%). In order to classify subtypes of AML, we used a large panel of monoclonal antibodies, obtaining the following results: AML M0, 02 (1.1%) AML M1, 40 (22.3) AML M2, 60 (33.5) AML M3, 22 (12.3%) AML M4, 10 (5.6) AML M5, 13 (7.3%) AML M6 06 (3.4%) and AML M7 01 (0.6%). We observed some cases with aberrant expression of some antigens such as CD7, CD4, CD19, CD3, CD5 and TdT, CD 7 was present in 30 (16.8%), CD4 in 5 (2.8%), the CD 3 in 5 (2.8%), the CD19 in 3 (1.7%), the CD5 in 3 (1.7%) and TDT was in 7 (3.9%) cases of AML .the CD8 and CD79a was present in only a 1 case.

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We had as the problem of analysis in this research: what are the assumptions, principles and general content that based the Sistema Nacional de Avaliação da Educação Superior (SINAES). We started from the hypothesis that the general content of SINAES is essentially based on the assumptions and principles of a control/regulatory perspective of evaluation and a summative epistemology, objectivist and quantitativist, constituted by members who prioritize testing and classification of courses and institutions based on market values. The overall goal was to make a political evaluation of SINAES and the specific objectives were: a) apply the concepts of politics evaluation and meta-evaluation, b) identify the role of international organizations in education reform in the 1990s and its impact on superior education in Brazil c) redeem the concept of evaluation, especially in the field of studies in education; and d) investigate the evaluation policies of Brazilian superior education leading to SINAES. As for the technical procedures for collecting and analyzing data, the research was made with bibliography and documents, considering that it was developed by bibliographic sources and official publications. It was developed by crossing sources: texts or documents remitted to others; it was also concentrated: on the role of international organizations in educational and State reforms (in the 1990s); on the policies of evaluation of the Brazilian superior education (1980s and 1990s); on the proposal of the Comissão Especial de Avaliação (CEA); on the Law No. 10.861/2004; on the documents of CONAES; on the Decree No. 5.773/2006, and the MEC Regulatory Ordinances No. 4/2008 and No. 12/2008. It did not stop in the so called purely technical aspects, but in the ideological field itself. The research found that international organizations, notably the World Bank, played a political, intellectual and financial role determinant to the field of education, a fact that reflects in the legal framework. It was also found that the politics of evaluation of the superior education is historically marked by conflict, represented by two distinct perspectives of different natures and emphases. On one hand, the focus is on control / regulation, favoring efficiency, productivity and competitiveness benchmarking and prioritizing the punctual performance and measurement. On the other, it seeks to transform academic perspective in primarily formative / emancipatory, in order to support more institutional improvement. It was concluded that the CEA presented a conception evaluation predominantly formative and emancipatory, which emphasized the idea of system, centered around the institution and repudiated the rankings practices. In the post-formulation period, however, some of its principles were fragmenting and, gradually, the institution was giving way to the courses and the Exame Nacional de Desempenho de Estudantes (ENADE) grew in prominence. With the creation of the Conceito Preliminar de Cursos superiores (CPC) and of the Índice Geral de Cursos da Instituição de Educação Superior (IGC), it was redemeed the practice of evaluation as measurement and control, under the principles of efficiency and productivity. So, SINAES that seemed like a progressive evaluation method has assumed a setting that close resembles the Exame Nacional de Cursos (ENC-Provão). Nevertheless, the survival of institutional formative evaluation, in the superior education evaluation policies, still an issue in dispute

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The present scenario is permeated by different comprehensions about the body and health. These are the result of a historical process experienced by men in different times and social contexts through which were being built. Faced this scenario, we emphasize the media as a powerful means of information and training ideas regarding the body and health of theses. The media also as a means of mediating information we present characteristics of the social scenario where is inserted. In our research we bring reflects about the comprehensions, knowledge and practices propagated by the way the body and health under "Medida Certa" of the program Fantastico the broadcaster Globo Telecommunications, in order to identify how Physical Education, has contributed the construction of knowledge disseminated. Therefore, we focus our analysis to the table "Medida Certa" exhibited by Fantastico in the months of April, May and June of 2011.The data for analysis were collected through the videos shown live in Fantastic and the information provided in the blog that table. Thus, we had 14 videos shown live, 16 videos posted on the blog, 97 posts in blog. As technique of analysis of the datas used of content analysis of the Bardin (2011). About body obtained as analytical categories: body as operating system; biological body; fragmented body exterior to the subject; body trailer quantified to patterns; subject body. How to health we analyze the categories of health existential: health existential based in biological indices of normality; health existential associated with weight loss and aesthetic patterns; health existential associated with physical activity and nutritional control; and finally we propose a comprehension of health existential. Therefore, from the analysis of the data evidenced a predominance of comprehensions, knowledge and practices about the body and health guided the biological constituents of the body, quantification and classification in medium and normal patterns on pervasive forms of care, in the linear association among physical activity and nutritional control with health, evidenced that Physical Education has contributed to these constructions, through some of his discourses with emphasis on biological aspects. Thus, in our study we advocate an understanding of not only the body as object, but also as a subject clipped by organic, cultural, historical and social elements, a living body, feeling, desire and above all expresses itself, and health viewed as something body, interlaced through the biological, cultural, historical and emotional aspects of this body that coexist in this society

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The gradual increase of violence in Brazilian society has being resulting in a growing of the prison population over last years, as well as the proportion of women than men. The participation of women in crime and responsibilities within her family makes this phenomenon a growing social problem. Women prisoners are mostly young, in reproductive age, making pregnancy a recurrent situation while they are serving a sentence. The studies about female criminality are poor and not helpful about its real dimension, especially when targeted to women who experienced pregnancy in this environment. Given these considerations, this research had as its object of study the experience of women in prison during pregnancy: analyze the experience of women in prison during the gestational period. This is a descriptive and qualitative study. The data were sourced through a semi-structured interview with nine incarcerated women, between August and September 2011, who met the inclusion criteria previously established, and organized according to the precepts of content analysis according to Bardin. Through this coding and classification process became a central thematic: the experience of women in prison during pregnancy, resulting in three categories: category 1 interpersonal relationships; category 2 - feelings that permeate the pregnant woman in prison; and category 3 absence of health care to incarcerated pregnant. The data were analyzed according to the available literature and the study revealed that interpersonal relationships, maintained by these women in prison, were marked by distance from family members, primarily due to socioeconomic factors, being a challenge for addressing of pregnancy in prison and reports of abuse of power by employees working in the institution. The women, who experience pregnancy in prison are more likely to experience feelings of worry, doubts, sadness and fear for baby s health due to lack of antenatal care and about the prison environment structure to meet your needs. The health care aimed at these women is poor and often does not occur, endangering the baby s life and his own mother, this is being a troubling reality in public health system. Finally, it is expected that this study can give visibility to an issue rarely discussed in the literature and contribute to the construction of specific public policies for this reality, in order to minimize the effects of incarceration during pregnancy

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Worldwide, the demand for transportation services for persons with disabilities, the elderly, and persons with reduced mobility have increased in recent years. The population is aging, governments need to adapt to this reality, and this fact could mean business opportunities for companies. Within this context is inserted the Programa de Acessibilidade Especial porta a porta PRAE, a door to door public transportation service from the city of Natal-RN in Brazil. The research presented in this dissertation seeks to develop a programming model which can assist the process of decision making of managers of the shuttle. To that end, it was created an algorithm based on methods of generating approximate solutions known as heuristics. The purpose of the model is to increase the number of people served by the PRAE, given the available fleet, generating optimized schedules routes. The PRAE is a problem of vehicle routing and scheduling of dial-a-ride - DARP, the most complex type among the routing problems. The validation of the method of resolution was made by comparing the results derived by the model and the currently programming method. It is expected that the model is able to increase the current capacity of the service requests of transport

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The skin cancer is the most common of all cancers and the increase of its incidence must, in part, caused by the behavior of the people in relation to the exposition to the sun. In Brazil, the non-melanoma skin cancer is the most incident in the majority of the regions. The dermatoscopy and videodermatoscopy are the main types of examinations for the diagnosis of dermatological illnesses of the skin. The field that involves the use of computational tools to help or follow medical diagnosis in dermatological injuries is seen as very recent. Some methods had been proposed for automatic classification of pathology of the skin using images. The present work has the objective to present a new intelligent methodology for analysis and classification of skin cancer images, based on the techniques of digital processing of images for extraction of color characteristics, forms and texture, using Wavelet Packet Transform (WPT) and learning techniques called Support Vector Machine (SVM). The Wavelet Packet Transform is applied for extraction of texture characteristics in the images. The WPT consists of a set of base functions that represents the image in different bands of frequency, each one with distinct resolutions corresponding to each scale. Moreover, the characteristics of color of the injury are also computed that are dependants of a visual context, influenced for the existing colors in its surround, and the attributes of form through the Fourier describers. The Support Vector Machine is used for the classification task, which is based on the minimization principles of the structural risk, coming from the statistical learning theory. The SVM has the objective to construct optimum hyperplanes that represent the separation between classes. The generated hyperplane is determined by a subset of the classes, called support vectors. For the used database in this work, the results had revealed a good performance getting a global rightness of 92,73% for melanoma, and 86% for non-melanoma and benign injuries. The extracted describers and the SVM classifier became a method capable to recognize and to classify the analyzed skin injuries

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This work proposes the development of an intelligent system for analysis of digital mammograms, capable to detect and to classify masses and microcalcifications. The digital mammograms will be pre-processed through techniques of digital processing of images with the purpose of adapting the image to the detection system and automatic classification of the existent calcifications in the suckles. The model adopted for the detection and classification of the mammograms uses the neural network of Kohonen by the algorithm Self Organization Map - SOM. The algorithm of Vector quantization, Kmeans it is also used with the same purpose of the SOM. An analysis of the performance of the two algorithms in the automatic classification of digital mammograms is developed. The developed system will aid the radiologist in the diagnosis and accompaniment of the development of abnormalities

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This study aimed to evaluate the potential use of smectite clays for color removal of textile effluents. The experiments were performed by testing exploratory/planning method factorial and fractional factorial where the factors and levels are predetermined. The smectite clays were used originating from gypsum hub of the region Araripe-PE, and the dye used was Reactive Yellow BF-4G 200%. The smectite clay was collected and transported to the Laboratory of Soil Physics of UFRPE, where it held its preparation through air drying, lump breaking and classification in sieve to then submit it to the adsorption process. Upon completion of 22 complete factorial design it was concluded that the values of (96, 96,5 and 95,8%) corresponding to the percentage of of removal for "in-kind", chemically and thermally activated, respectively and adsorbed amounts of (4,80, 4,61 and 4,74 mg/g) for three clays. Showed that the activation processes used did not increase the adsorption capacity of smectite clay. The kinetic data were best fitted to the Freundlich isotherm, with an exponential distribution of active sites and that shows above the Langmuir equation for adsorption of cations and anions by clays. The kinetic model that best adapted to the results was the pseudosecond order model. In the factorial design study 24-1, at concentrations up to 500 mg/L obtains high percentage of color removal (92,37, 90,92 and 93,40%) and adsorbed amount (230,94, 227,31 and 233,50 mg/g) for three clays. The kinetic data fitted well to Langmuir and Freundlich isotherms. The kinetic model that best adapted to the results was the pseudosecond order model