6 resultados para intersectoral features

em Universidade Federal do Rio Grande do Norte(UFRN)


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Public policies have been studied in the various fields of humanities and social sciences, from different theoretical and technical aspects. However, there is still a lack of studies that incorporate the dimension that encompasses the political action and its interference in such actions, also recognizing the importance of the institutional setting of the Brazilian presidential model in implementing these policies. This fragmented and multiparty system has led to power heterogeneous sets of political parties. Thus, the ministerial offices, more than assisting the President´s government project, manage particularized agendas, which are party biased and have the influence of interest groups in hegemonic themes addressed by government agencies. When these agendas operate in sectoral and specialized policies, the friction level is apparently low. However, when this occurs in intersectoral actions, such as in regional development, there is evidence of strong signs of competition among government agencies, which in theory, should operate in an integrated manner. Although this is not a specific feature of Luiz Inacio Lula da Silva´s government- the period to be studied- there was similar behavior in Fernando Henrique Cardoso´s presidency, one realizes that the expansion of coalition on behalf of governance is increasingly interfering in the outcome of intersectoral public policies, due to these multiple arguments in action. In order to understand these processes, this study focused on the Sustainable and Integrated Development Programme for Differentiated Meso-Regions (PROMESO), part of the National Policy for Regional Development (NPRD). The program provides interface with various government agencies and their public policies in a clear intersectoral design. The research sought to identify and analyze the relationships between government agencies and their programs with interest groups, whether political parties or other segments of civil society, highlighting the logic of favoritism, which poses in second place the integration of actions in the intersectoral policies. Therefore, besides the theoretical debate that incorporates several categories of political science, public administration, public policy, geography and economics, the study focused on secondary sources, using different government agencies databases in order to raise information. It was observed that the interference of partisan politics has been disastrous for some public policies. Thus, the research confirms that cooperative character is fragile within government agencies, often limited to official documents, and that there is indeed, a striking feature of competition, especially when it comes to transversalized policies

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Public policies have been studied in the various fields of humanities and social sciences, from different theoretical and technical aspects. However, there is still a lack of studies that incorporate the dimension that encompasses the political action and its interference in such actions, also recognizing the importance of the institutional setting of the Brazilian presidential model in implementing these policies. This fragmented and multiparty system has led to power heterogeneous sets of political parties. Thus, the ministerial offices, more than assisting the President´s government project, manage particularized agendas, which are party biased and have the influence of interest groups in hegemonic themes addressed by government agencies. When these agendas operate in sectoral and specialized policies, the friction level is apparently low. However, when this occurs in intersectoral actions, such as in regional development, there is evidence of strong signs of competition among government agencies, which in theory, should operate in an integrated manner. Although this is not a specific feature of Luiz Inacio Lula da Silva´s government- the period to be studied- there was similar behavior in Fernando Henrique Cardoso´s presidency, one realizes that the expansion of coalition on behalf of governance is increasingly interfering in the outcome of intersectoral public policies, due to these multiple arguments in action. In order to understand these processes, this study focused on the Sustainable and Integrated Development Programme for Differentiated Meso-Regions (PROMESO), part of the National Policy for Regional Development (NPRD). The program provides interface with various government agencies and their public policies in a clear intersectoral design. The research sought to identify and analyze the relationships between government agencies and their programs with interest groups, whether political parties or other segments of civil society, highlighting the logic of favoritism, which poses in second place the integration of actions in the intersectoral policies. Therefore, besides the theoretical debate that incorporates several categories of political science, public administration, public policy, geography and economics, the study focused on secondary sources, using different government agencies databases in order to raise information. It was observed that the interference of partisan politics has been disastrous for some public policies. Thus, the research confirms that cooperative character is fragile within government agencies, often limited to official documents, and that there is indeed, a striking feature of competition, especially when it comes to transversalized policies

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Visual attention is a very important task in autonomous robotics, but, because of its complexity, the processing time required is significant. We propose an architecture for feature selection using foveated images that is guided by visual attention tasks and that reduces the processing time required to perform these tasks. Our system can be applied in bottom-up or top-down visual attention. The foveated model determines which scales are to be used on the feature extraction algorithm. The system is able to discard features that are not extremely necessary for the tasks, thus, reducing the processing time. If the fovea is correctly placed, then it is possible to reduce the processing time without compromising the quality of the tasks outputs. The distance of the fovea from the object is also analyzed. If the visual system loses the tracking in top-down attention, basic strategies of fovea placement can be applied. Experiments have shown that it is possible to reduce up to 60% the processing time with this approach. To validate the method, we tested it with the feature algorithm known as Speeded Up Robust Features (SURF), one of the most efficient approaches for feature extraction. With the proposed architecture, we can accomplish real time requirements of robotics vision, mainly to be applied in autonomous robotics

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This work uses computer vision algorithms related to features in the identification of medicine boxes for the visually impaired. The system is for people who have a disease that compromises his vision, hindering the identification of the correct medicine to be ingested. We use the camera, available in several popular devices such as computers, televisions and phones, to identify the box of the correct medicine and audio through the image, showing the poor information about the medication, such: as the dosage, indication and contraindications of the medication. We utilize a model of object detection using algorithms to identify the features in the boxes of drugs and playing the audio at the time of detection of feauteres in those boxes. Experiments carried out with 15 people show that where 93 % think that the system is useful and very helpful in identifying drugs for boxes. So, it is necessary to make use of this technology to help several people with visual impairments to take the right medicine, at the time indicated in advance by the physician

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The International Labor Organization (OIT) estimates that there are around 118 million children subjected to child labor around the world. In Brazil, there are 3.5 million workers aged between 5 and 17. This exploitation practice constitutes a serious social problem, including of Public Health, since these workers are exposed to a wide range of risks, such as those related to health, physical integrity and even to life, which may cause them to become sick adults and/or interrupt their lives prematurely. Therefore, this research aims to investigate the relationship between the frequency of child labor in the age group of 10 to 13 years and some socio-economic indicators. It is a quantitative research in an ecological study whose levels of analysis are the Brazilian municipalities grouped in 161 regions, defined from socioeconomic criteria. The dependent variable of this study was the prevalence of child labor in the age group of 10 to 13 years. The independent variables were selected after a correlation between the 2010 Census of child labor in the age group of 10 to 13 years and secondary data had been conducted, adopting two main independent variables: funds from the Family Allowance Program (PBF) per 1,000 inhabitants and Funds from the Child Labor Eradication Program (PETI) per a thousand inhabitants. Initially, it was conducted a descriptive analysis of the variables of the study, then, a bivariate analysis, and the correlation matrix was built. At last, the Multiple Linear Regression stratified analysis was performed. The results of this survey indicate that public policies , like the Bolsa Familia Program Features per 1000 inhabitants and Resources Program for the Eradication of Child Labour to be allocated to municipalities with HDI < 0.697 represent a decrease in the rate of child labor ; These programs have the resources to be invested in municipalities with HDI > = 0.697 have no effect on the rate of child labor. Other adjustment variables showed significance, among these the municipal Human Development Index (IDH), years of schooling at 18 years of age, illiteracy at 15 years of age or more, employees without employment contract at 18 years of age and the Gini Index. It is understood that the child labor issue is complex. The problem is associated, although not restricted to, poverty, the social exclusion and inequality that exist in Brazil, but other factors of cultural and economic nature, as well as of organization of production, also account for its aggravation. Fighting child labor involves a wide intersectoral articulation, shared and integrated with several public policies, among them health, sports, culture, agriculture, labor and human rights, with a view to guaranteeing the integrality of the rights of children and adolescents in situation of labor and of their respective families

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The approach Software Product Line (SPL) has become very promising these days, since it allows the production of customized systems on large scale through product families. For the modeling of these families the Features Model is being widely used, however, it is a model that has low level of detail and not may be sufficient to guide the development team of LPS. Thus, it is recommended add the Features Model to other models representing the system from other perspectives. The goals model PL-AOVgraph can assume this role complementary to the Features Model, since it has a to context oriented language of LPS's, which allows the requirements modeling in detail and identification of crosscutting concerns that may arise as result of variability. In order to insert PL-AOVgraph in development of LPS's, this paper proposes a bi-directional mapping between PL-AOVgraph and Features Model, which will be automated by tool ReqSys-MDD. This tool uses the approach of Model-Driven Development (MDD), which allows the construction of systems from high level models through successive transformations. This enables the integration of ReqSys-MDD with other tools MDD that use their output models as input to other transformations. So it is possible keep consistency among the models involved, avoiding loss of informations on transitions between stages of development