Utilizando Pesos estáticos e dinâmicos em sistemas multi-classificadores com diferentes níveis de diversidade

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

Dilema da diversidade-acurácia: um estudo empírico no contexto de multiclassificadores

Multi-classifier systems, also known as ensembles, have been widely used to solve several problems, because they, often, present better performance than the individual classifiers that form these systems. But, in order to do so, it s necessary that the base classifiers to be as accurate as diverse among themselves this is also known as diversity/accuracy dilemma. Given its importance, some works have investigate the ensembles behavior in context of this dilemma. However, the majority of them address homogenous ensemble, i.e., ensembles composed only of the same type of classifiers. Thus, motivated by this limitation, this thesis, using genetic algorithms, performs a detailed study on the dilemma diversity/accuracy for heterogeneous ensembles

Análise das medidas de boa e má diversidade na construção de comitês de classificadores através de metaheurísticas de otimização multiobjetivo

Committees of classifiers may be used to improve the accuracy of classification systems, in other words, different classifiers used to solve the same problem can be combined for creating a system of greater accuracy, called committees of classifiers. To that this to succeed is necessary that the classifiers make mistakes on different objects of the problem so that the errors of a classifier are ignored by the others correct classifiers when applying the method of combination of the committee. The characteristic of classifiers of err on different objects is called diversity. However, most measures of diversity could not describe this importance. Recently, were proposed two measures of the diversity (good and bad diversity) with the aim of helping to generate more accurate committees. This paper performs an experimental analysis of these measures applied directly on the building of the committees of classifiers. The method of construction adopted is modeled as a search problem by the set of characteristics of the databases of the problem and the best set of committee members in order to find the committee of classifiers to produce the most accurate classification. This problem is solved by metaheuristic optimization techniques, in their mono and multi-objective versions. Analyzes are performed to verify if use or add the measures of good diversity and bad diversity in the optimization objectives creates more accurate committees. Thus, the contribution of this study is to determine whether the measures of good diversity and bad diversity can be used in mono-objective and multi-objective optimization techniques as optimization objectives for building committees of classifiers more accurate than those built by the same process, but using only the accuracy classification as objective of optimization

Ambientes residenciais controlados por dispositivos móveis: estudo, concepção e desenvolvimento de um aplicativo considerando a diversidade

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Diversidade de Seirini (Collembola, Arthropleona, Entomobryidae), em áreas úmidas da caatinga

The family Entomobryidae is one of the most diverse families of Collembola in Northeast Brazil. Data on its diversity may be considered undervalued due to low collection efforts in the region. In this study, five areas in the Northeast region were sampled, to evaluate the species richness of this family. The study was done in the Serra da Jibóia, Santa Terezinha municipality, Bahia; Serra das Confusões, Caracol municipality, Piauí; Chapada do Araripe, Crato municipality, Ceará; Mata do Pau-Ferro, Areia municipality, Paraíba and Parque Nacional de Ubajara, Ubajara municipality, Ceará, all considered humid areas of Caatinga. Collections were made using pitfall traps and entomological aspirators. All the collected material was screened, mounted on slides, identified and, finally, the descriptions of some of the new species encountered were made. A total of 48 Entomobryidae species belonging to nine genera were recorded and 27 of these were new to science, representing a percentage of 56.25% of the total. A new record for Brazil was identified and several new records were made to the States. Seira was the genus with wider distribution and it was the only one found in all areas and the most representative with the highest number of recorded species (26). This result was expected, because individuals of the genus Seira have a good adaptability to semi-arid environments, a fact that has already been proven in previous research. Seven new species of Seira were described. A dichotomous key to genera and species of Seirini from Brazil was drafted. This work demonstrates the great potential of Entomobryidae and Seirini in the Northeast, despite having been held in very restricted areas, obtained important results for the knowledge of fauna of the group

Diversidade de paronellidae (collembola, arthropleona, entomobryoidea) no nordeste brasileiro, com ênfase em áreas úmidas da caatinga

Paronellidae is among the most diverse and distinctive components of epiedaphic Collembola in tropical countries. However, only 15 species of the family were recorded in Brazil, and only two of them were record in northeast region of the country. This condiction is clearly related to low sampling efforts and lack of specialists working with the group. Due to this reality, this work aimed to study the Paronellidae fauna, under a taxonomic point of view, in six distinct environments in Northeastern Brazil (from Alagoas, Bahia, Ceará, Piauí and Paraíba states), five areas of Caatinga and one from Atlantic Rain Forest biome. Collections were made during the rainy season on each area. The specimens were analyzed under stereomicroscope and mounted in glass slides for microscopy. The specimens identified as Paronellidae had their occurrence recorded and five new species were described. An identification key to the brazilian genera of the family was also prepared. Twelve species of Paronellidae were recorded for the first time to Brazil: Campylothorax mitrai; Lepidonella. sp. nov. 1; Lepidonella sp. nov. 2, Lepidonella sp. nov. 3, Lepidonella sp. nov 4, Lepidonella sp. nov. 5; Dicranocentruga sp. Nov. 1; Dicranocentruga sp. Nov. 2; Dicranocentruga sp. Nov. 3; Paronella sp. nov.1; Serroderus sp. nov.1 and Trogolaphysa. sp. 1, where C. mitrai, Lepidonella. sp. nov 1, Dicranocentruga sp. nov 1, Dicranocentruga sp. nov 2 and Dicranocentruga sp. nov 3 were described. Serroderus and Dicranocentruga genera were recorded for the first time to Brazil. The description of Lepidonella sp. nov 1 also represents the first description of a species of the genus for the country. The data presented show a high potential species richness to Paronellidae, not only in the northeast region, but as in Brazil. In fact, with the records presented in this work, the number of recorded species of Paronellidae in the country increased by 80%. The study of this particular fauna may direct environmental conservation policies, especially in areas of Caatinga

Descobrindo novas ofertas: recursos histórico-culturais e oportunidades de inovação em turismo para a região do Marco/RN

Having as reference the fundamentals of regional innovation systems (RIS) and the policy guidelines defined in the regionalization program implemented by the federal government, this study focus on the analysis of the so-called "Landmark Region", northern coast of Polo Costa das Dunas-RN, in order to indicate how the historical and cultural resources can support innovation in the tourism of the region, represented here by the cities of Pedra Grande and São Miguel do Gostoso. This is a descriptive research, using qualitative methods of data collection and analysis, configuring, still, as a case study. Data were gathered from literature, documents, semi-structured interviews and mainly by participant observation methods. The results show a great diversity of cultural resources in the region, both material and immaterial, which however are disarticulated, and need to be worked in order to be included in the tourism productive chain. The main opportunity for innovation regards the return of the Landmark to the region, an invaluable monument, with the construction of a memorial. Taking in account the relevance of the monument and the growth of the region, we conclude that the return of the Landmark to its place of origin, in conjunction with other cultural resources, could attract a flow of cultural tourists. This fact could be, as the theory suggests, characterized as market or niche innovation, as the region is dominated by the sun and sea and wind sports tourism

O desenvolvimento da indústria da reciclagem dos materiais no Brasil: motivação econômica ou benefício ambiental conseguido com a atividade?

A indústria de reciclagem vem se desenvolvendo no Brasil desde o começo dos anos noventa, o que resulta em elevados índices de reciclagem e tecnologia de ponta na reciclagem de alguns materiais. Requisitada como estratégia para a gestão dos resíduos no destino final, a reciclagem possui a particularidade de ser uma atividade econômica bastante rentável. Este artigo analisa os índices da indústria de reciclagem dos materiais no Brasil. Com base nos resultados obtidos através da consulta bibliográfica e dados estatísticos oriundos de fontes primárias e secundárias, conclui-se que a atividade da reciclagem dos materiais no Brasil se presta a satisfazer exclusivamente às demandas econômicas do setor. Neste sentido, a contribuição ambiental da reciclagem perde relevância visto que o crescimento da atividade está condicionado às demandas da cadeia produtiva industrial