870 resultados para Associative Classifiers
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The Women s experiences in the private sphere under the work s field changes the family relationship allowing them more freedom, autonomy and independence. The inequalities, socially built, homemade women s obligations results in discrimination, difficult to insert and recovery on female s job in a job s market, including low salary if compared with men s and difficult to services access in addiction a difficult daily life and in domestic sphere. The women s organisation in productive groups or economically solidary enterprises (ESE) torn possible the social economically organisations and politicians to promote deep changes in a domestically e socially relationship, positioning, for example, women s in publics areas and in the rout of emancipation. The objective of this search are understand men and women relationship in the family agriculture s field starts insert women in economically solidary enterprises (ESE) on Mulunguzinho s settlement (Mossoró/RN). The theoretical framework is inspirited Economical Solidary concept kind division s job and women s empowerment. This search had a qualitative character and exploration through case s study on Mulheres decididas a vencer s group. The secondary information was create through theoretical framework and information collected through semi-structured interviews based in interviews applied for women and yours respective husbands by criterion for women participation on productive activities of beekeeping culture of goat and sheep. This study turns possible conclude that the women s participations in productive groups in solidary economical change significantly their life and their family life. The group s organisations process, the training was received, the collective production, the marketing and the mobilized participation to move it all was fundamental for women share with their families partners some homemade and take care with the children. This finding confirm a different aspect not economical in solidary economy overcoming the monetary value in associative relationship observing principally individuals well-being and the concern with the form of reproduction this way of life in the associated
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The dissertating study about the solidarity economy has the objective to analyze the four unions responsible for the selective municipal garbage collection in Natal. It aims at verifying the consolidation of these unions as solidarity economic undertakings, revealing which progresses they have made, as well as the social and economic insertion of the garbage collectors and their process of conquering citizenship. The referred four unions had been founded and are constituted, in their majority, by collectors coming from the Cidade Nova lixão (big garbage). As it was closed in August 2004, they decided to make a union in order to collecting garbage. As what concerns the methodic and theoretic proceedings, our research has been developed with a critical perspective and a qualitative approach without discarding and quantitative one. The central analytical categories of this paper are: association, work, social exclusion and citizenship. Our research has had three articulated axis which aim was to apprehend the subject, disclosing it. The exposition of the investigative results is subdivided in four chapters. The first one approaches the main aspects of the crisis of the capital and its reflexes in the world of work. Here we deal with the question the structural unemployment coming as a result of the present economic model, the mains changes verified in the Brazilian work market, as well as levels of unemployment affecting the work market in Natal s metropolitan region. The second chapter treats of the origin, concept and revival in Brazil concerning the tradition of thought and cooperative economic organization, which has recovered the central elements of the associative thought and is nowadays studied in Latin America under the name of solidarity economy. The third chapter deals with embodiment of the collectors unions, its history, appearing and development of each union. The fourth chapter presents the relative dimensions of the analysis categories supported in the reports of institutional actors as well as the perception collectors have about the recyclable stuffs, the way they face the daily life and so on, what brings about the contradictions present in their reality. The final comments sum up the main trends and particularities of the unions researched under the light of the solidarity economy and disclose the real perspectives of social and economic insertion of these collectors and the process they follow to conquest social recognition
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It historizes and it analyzes the social capital in the area Seridó. The traditions associative seridoenses are reconstructed starting from the dimensions: economical, social, religious person and politics. In them it is possible to notice actions that form the social capital of the area. The country of Seridó present an associative tradition based on the mutual help, in the trust and reciprocity that she remount there are decades in your history. The relationship among the Catholic Church, that historically it is present in the area, and rural communities, through your community associations, it is the backdrop where you/they are the responsible associative elements for the tear of the regional social fabric: in him (the backdrop) he/she is the responsible social capital for the work of the rural community organizations. The Catholic Church, through your social action and the Program of Combat to the Rural Poverty, of Rio Grande do Norte is the league that sustains the actions collective seridoenses
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The rural settlements represent a mark in the expensive historical process of fight by the land in Brazil. At first offer basic terms of survival, through the access the land and of the fundamental supports for exploration. At the same time, have stimulated organization forms politicizes of the families who manage to work with the new challenges of the everyday. The moment that follows the land conquest, and therefore, the settlements construction while life and work project, it is crossed for objective and subjective demands, with highlight for options of agricultural production and strategies of collective action. Originally formed as representation instance legitimates of the families - front to the government and social actors - the settlers associations are private spaces for political sociability, that guided by principles participative, can lead the settlers the new conquests through indeed democratic experiences. The goal of this work is to comprehend the participation forms in the scope of these associations and the way as that translates in life best terms for the group, from the settlements experiences located in the Territories of the Citizenship Mato Grande and Açu-Mossoró, in Rio Grande do Norte's State. The theoretical conceptions that guide this analysis are concentrate on discussions about democracy and participation (Patermam, Putnam, Bodernave) and in the reflections about the rural world (Medeiros, Martins, Woodman e Woodman and Bergamansco). About methodological, different point of view strategies were developed: The direct observation, the application in locate of questionnaires to the families settlers and interviews semi-structured with the internal leaderships. With that could verify that the participation forms in the associations operate in two heartfelt: Of a side, they promote assimilation opportunities of democratic abilities accompanied of notions of social rights and redefinition of political standards; Of another, it offers indeed the possibility of the settlers lead, with relative autonomy, the political organization and her changes in direction to a way of life that wish to have in the settling
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Observing that social capital is considered crucial for the consolidation of an association, this paper analyzes how different groups associative absorb the concept of membership and how to manage routing in their actions to the social interest. The research aimed to evaluate two central forms of association, based on the concept of Pierre Bourdieu (1980) on social capital, stressing that its distribution and perception are uneven and depends on the ability of ownership of different social groups. Accordingly, took up two organizations community based one in - Barra do Rio and another in Maracajaú - whose main activity is the exploitation in the coastal tourist norteriograndense. Once processed the data, it became clear that, despite the purpose for the association has been motivated by exploration in both organizations, each differently appropriates its capital. While one maintains a feelings of togetherness, trust and satisfaction of group work, the other one, feelings are stifled by individualism, mistrust among their members that although they see the association as something important for the growth and strengthening of the group, working individually
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At this investigation it was analyzed the content and the organization of the social representation on the object teachers education, built by teachers of degree courses from Universidade Federal do Piauí(Ufpi), understanding such representation articulated to the teaching habitus of these educators of teachers, what takes under consideration the position that they hold in the structure of the national field and in the subfield of teachers education. For that, it is searched: a) to emphasize the properties of the place in which the trainers act Ufpi as the office of those field and subfield; b) to understand who are the trainers, that is, to grasp the teaching habitus of the trainers with a view of its origin, social trajectory and the specifics of their position in the analyzed field and the subfield and c) to know what they think about their work object, that is, identify and articulate the content and the organization of the social representation analyzed with their properties of field and subfield agents. The research includes the specific degree courses of the Campus Ministro Petrônio Portella , from Teresina(PI), and it was applied to 134 professors of degree courses from this Campus. The data collect joined to the participants happened on the second period of 2008 and on the first semester of 2009. The starting point of the study is the corroboration that the reform of Ufpi degree courses, determined by the legislation and stablished at this Institution in 2005, altered a little the previous situation. It is comprehended that Ufpi and its structures of teachers education as a trainer institution, is limited by the national academic field and by the subfield of teachers education. From this last one, it was listed some of its properties, to show that it is about an academic subfield in construction process. It is emphasized division of the subfield, that separates the trainers into two subgroups the ones who dedicate themselves to the specific education on the contents and those ones who are specialized on pedagogical education placed in antagonistic position and competing by the symbolic power of imposing the meaning and the sense of the teachers education in the degree courses. To understand the comprehension of the problem, it is searched for the models that are in the root of the construction of the University and its project of teachers education in the degree courses, to clarify the matrixes in which the social representation searched is stablished. The theoretical referential articulates the contributions of Moscovici, the theory of social representations, and of Bourdieu, with the concepts that compose its praxeology, as habitus, social field, capital, symbolic power and others, as well as their interpreters and continuators, as Domingos Sobrinho. From the literature about the university and teachers education, it was used Dermeval Saviani, Luiz Antônio Cunha, Maria Isabel da Cunha and Mirian Jorge Warde, besides others. Plurimethodological procedures were adopted, combining associative techniques adjusted to the access to the social representations, and a classic technique, a questionnaire about teaching habitus. The condition is that the teachers build different social representation of the object teachers education because of the distinct positions that they occupy in the structure of the academic field and the subfield of the teachers education. The reached positions in the field and subfield are due to the differences in the origin and social trajectory of these agents, who, therefore, have different teaching habitus from which they build their social representation about their work object. It is highlighted that the teaching habitus and the social representation of two subfields, identified by the belongings to different dimensions of the teachers education in the degree courses, they have similarities and, also, differences. These ones permit to support that the subjects are holders of distinct teaching habitus that conceive different practices, struggles, tensions and conflicts around the sense of teachers education
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The complex human behavior related to exercise involves cognitive, physical and emotional processing. The recent theories about exercise s intensity regulation have highlighted the role played by psychophysics aspects in controlling exercise s intensity. In this regard, recent evidences have shown that there is variability in human capacity in perceiving interoceptives clues. Thus, subjects more sensitive show higher physiological arousal to physical and/or emotional stress, and sensations with higher intensity. In fact, studies have evidenced that interoceptive feedback modifies behavior in exercise with free load. However, exercise recommendations are based in a constant load standard. Therefore, we aimed to analyze the influence of interoceptive sensibility on psychophysics responses during dynamic exercise performed with constant load. Twenty-four adult males were allocated into two groups accordingly with their interoceptive sensibility: high sensibility (n=11) and low sensibility (13). They underwent to an incremental test (IT) and then randomly to two sections of moderate and severe exercise intensity for 20 minutes. Heart rate (HR), rating of perceived exertion (RPE), affective feelings (AF), alert state (AS), and percentage of associative thoughts were collect during exercise. A two-way ANOVA with repeated measures was used to assess differences between psychophysics responses. There were differences between group in RPE, AF, and AS in moderate intensity. There was no difference in any measure in severe intensity. We conclude that subjects with high interoceptive sensibility feel dynamic moderate exercise more intense than the subjecs with low interoceptive sensibility
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The use of the maps obtained from remote sensing orbital images submitted to digital processing became fundamental to optimize conservation and monitoring actions of the coral reefs. However, the accuracy reached in the mapping of submerged areas is limited by variation of the water column that degrades the signal received by the orbital sensor and introduces errors in the final result of the classification. The limited capacity of the traditional methods based on conventional statistical techniques to solve the problems related to the inter-classes took the search of alternative strategies in the area of the Computational Intelligence. In this work an ensemble classifiers was built based on the combination of Support Vector Machines and Minimum Distance Classifier with the objective of classifying remotely sensed images of coral reefs ecosystem. The system is composed by three stages, through which the progressive refinement of the classification process happens. The patterns that received an ambiguous classification in a certain stage of the process were revalued in the subsequent stage. The prediction non ambiguous for all the data happened through the reduction or elimination of the false positive. The images were classified into five bottom-types: deep water; under-water corals; inter-tidal corals; algal and sandy bottom. The highest overall accuracy (89%) was obtained from SVM with polynomial kernel. The accuracy of the classified image was compared through the use of error matrix to the results obtained by the application of other classification methods based on a single classifier (neural network and the k-means algorithm). In the final, the comparison of results achieved demonstrated the potential of the ensemble classifiers as a tool of classification of images from submerged areas subject to the noise caused by atmospheric effects and the water column
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Objetivou-se avaliar a ensilagem de cana-de-açúcar tratada com três aditivos químicos (uréia 1,5%, benzoato de sódio 0,1% e hidróxido de sódio 1%) mais o grupo controle e duas inoculações (Propionibacterium acidipropionici + Lactobacillus plantarum e Lactobacillus buchneri), em um esquema fatorial 4 x 3 com três repetições para cada tratamento. Avaliou-se o valor nutritivo da forragem antes da ensilagem, após a abertura dos silos e após a exposição aeróbia. As associações de P. acidipropionici ou L. buchneri com NaOH, em comparação ao grupo controle, possibilitaram melhor preservação dos teores de MS (32,2 e 33,5 vs 27,4%, respectivamente), FDN ( 53,4; 55,7 vs 75,3%), FDA (39,5; 44,3 vs 48,7%), lignina (6,6; 7,1 vs 8,1%) e CNF (33,8; 31,7 vs 14,9%) e, conseqüentemente, propiciaram os maiores valores de DIVMS (60,3; 63,2 vs 35,1%). Esses valores podem ser atribuídos ao controle das leveduras pelos efeitos da associação dos aditivos. A ensilagem de cana-de-açúcar requer de forma contundente a inclusão de aditivo.
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Equipment maintenance is the major cost factor in industrial plants, it is very important the development of fault predict techniques. Three-phase induction motors are key electrical equipments used in industrial applications mainly because presents low cost and large robustness, however, it isn t protected from other fault types such as shorted winding and broken bars. Several acquisition ways, processing and signal analysis are applied to improve its diagnosis. More efficient techniques use current sensors and its signature analysis. In this dissertation, starting of these sensors, it is to make signal analysis through Park s vector that provides a good visualization capability. Faults data acquisition is an arduous task; in this way, it is developed a methodology for data base construction. Park s transformer is applied into stationary reference for machine modeling of the machine s differential equations solution. Faults detection needs a detailed analysis of variables and its influences that becomes the diagnosis more complex. The tasks of pattern recognition allow that systems are automatically generated, based in patterns and data concepts, in the majority cases undetectable for specialists, helping decision tasks. Classifiers algorithms with diverse learning paradigms: k-Neighborhood, Neural Networks, Decision Trees and Naïves Bayes are used to patterns recognition of machines faults. Multi-classifier systems are used to improve classification errors. It inspected the algorithms homogeneous: Bagging and Boosting and heterogeneous: Vote, Stacking and Stacking C. Results present the effectiveness of constructed model to faults modeling, such as the possibility of using multi-classifiers algorithm on faults classification
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Nowadays, classifying proteins in structural classes, which concerns the inference of patterns in their 3D conformation, is one of the most important open problems in Molecular Biology. The main reason for this is that the function of a protein is intrinsically related to its spatial conformation. However, such conformations are very difficult to be obtained experimentally in laboratory. Thus, this problem has drawn the attention of many researchers in Bioinformatics. Considering the great difference between the number of protein sequences already known and the number of three-dimensional structures determined experimentally, the demand of automated techniques for structural classification of proteins is very high. In this context, computational tools, especially Machine Learning (ML) techniques, have become essential to deal with this problem. In this work, ML techniques are used in the recognition of protein structural classes: Decision Trees, k-Nearest Neighbor, Naive Bayes, Support Vector Machine and Neural Networks. These methods have been chosen because they represent different paradigms of learning and have been widely used in the Bioinfornmatics literature. Aiming to obtain an improvment in the performance of these techniques (individual classifiers), homogeneous (Bagging and Boosting) and heterogeneous (Voting, Stacking and StackingC) multiclassification systems are used. Moreover, since the protein database used in this work presents the problem of imbalanced classes, artificial techniques for class balance (Undersampling Random, Tomek Links, CNN, NCL and OSS) are used to minimize such a problem. In order to evaluate the ML methods, a cross-validation procedure is applied, where the accuracy of the classifiers is measured using the mean of classification error rate, on independent test sets. These means are compared, two by two, by the hypothesis test aiming to evaluate if there is, statistically, a significant difference between them. With respect to the results obtained with the individual classifiers, Support Vector Machine presented the best accuracy. In terms of the multi-classification systems (homogeneous and heterogeneous), they showed, in general, a superior or similar performance when compared to the one achieved by the individual classifiers used - especially Boosting with Decision Tree and the StackingC with Linear Regression as meta classifier. The Voting method, despite of its simplicity, has shown to be adequate for solving the problem presented in this work. The techniques for class balance, on the other hand, have not produced a significant improvement in the global classification error. Nevertheless, the use of such techniques did improve the classification error for the minority class. In this context, the NCL technique has shown to be more appropriated
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The pattern classification is one of the machine learning subareas that has the most outstanding. Among the various approaches to solve pattern classification problems, the Support Vector Machines (SVM) receive great emphasis, due to its ease of use and good generalization performance. The Least Squares formulation of SVM (LS-SVM) finds the solution by solving a set of linear equations instead of quadratic programming implemented in SVM. The LS-SVMs provide some free parameters that have to be correctly chosen to achieve satisfactory results in a given task. Despite the LS-SVMs having high performance, lots of tools have been developed to improve them, mainly the development of new classifying methods and the employment of ensembles, in other words, a combination of several classifiers. In this work, our proposal is to use an ensemble and a Genetic Algorithm (GA), search algorithm based on the evolution of species, to enhance the LSSVM classification. In the construction of this ensemble, we use a random selection of attributes of the original problem, which it splits the original problem into smaller ones where each classifier will act. So, we apply a genetic algorithm to find effective values of the LS-SVM parameters and also to find a weight vector, measuring the importance of each machine in the final classification. Finally, the final classification is obtained by a linear combination of the decision values of the LS-SVMs with the weight vector. We used several classification problems, taken as benchmarks to evaluate the performance of the algorithm and compared the results with other classifiers
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)