Terceirização em tecnologia da informação sob os aspectos de estratégia, tomada de decisão e análise de investimentos :estudo de múltiplos casos em três organizações franqueadas da Coca-Cola do Brasil

Desde a criação da tecnologia e do seu uso pelas empresas, a relação custo e benefício nem sempre foi bem elucidada tanto para os responsáveis pela área de tecnologia quanto para a alta direção. Mas, apesar disto, cada vez mais as organizações investem maciçamente em tecnologia, esperando que esta seja a solução para diversos problemas. Por isto, esta questão tem se tornado crucial para o processo de tomada de decisões, visto que investimentos nesta área costumam ser dispendiosos e, na atual conjuntura, estas análises precisam ser extremamente criteriosas para que se miniminizem as possibilidades de insucesso dos projetos, principalmente numa economia estabilizada e de concorrência acirrada. Uma das alternativas que as empresas têm buscado para atingir o sucesso e correr menos riscos é a terceirização da área de TI. Partindo desta visão, a presente dissertação tem por objetivo realizar uma investigação sobre a terceirização dos serviços de TI em todos os seus aspectos, isto é, desde a sua motivação, serviços efetivamente terceirizados, vantagens, desvantagens e possíveis obstáculos, a visão do alinhamento estratégico da TI, os processos de gestão de contratos e formas de controle e, por fim, tendências futuras. Trata-se de uma pesquisa de múltiplos casos, envolvendo franquias do Sistema Coca-Cola no Brasil. O estudo apresenta uma pesquisa bibliográfica sobre o processo de tomada de decisão empresarial, a análise de investimentos, a gestão e a terceirização da TI, o que permitem definir as dimensões de análise da pesquisa. Na pesquisa de campo foram entrevistados os gerentes da área de TI, nas cidades de Brasília-DF, Goiânia-GO e Ribeirão Preto-SP. A pesquisa de campo permitiu identificar como as mesmas avaliam seus investimentos em TI, como esta área é gerenciada, o que as levou a optar pela terceirização e como os processos terceirizados afetam a organização. Por se tratar de uma pesquisa qualitativa, optou-se por analisar comparativamente as três organizações. Com a realização deste estudo, obtiveram-se, como principais resultados, que as organizações estão utilizando a terceirização em TI para focar no negócio principal e, mesmo encontrando diversas desvantagens, inclusive com relação a custos, acreditam que os benefícios justificam. Ainda identificaram-se alguns obstáculos internos para a terceirização, principalmente quanto ao receio de se perder a inteligência do negócio. O acompanhamento dessas atividades terceirizadas é realizado pela equipe interna e por critérios estruturados, onde se verificam os níveis de serviço

Classificação de imagens de ambientes coralinos: uma abordagem empregando uma combinação de classificadores e máquina de vetor de suporte

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

Método Fuzzy para auxílio ao diagnóstico de câncer de mama em ambiente inteligente de telediagnóstico colaborativo para apoio à tomada de decisão

Breast cancer, despite being one of the leading causes of death among women worldwide is a disease that can be cured if diagnosed early. One of the main techniques used in the detection of breast cancer is the Fine Needle Aspirate FNA (aspiration puncture by thin needle) which, depending on the clinical case, requires the analysis of several medical specialists for the diagnosis development. However, such diagnosis and second opinions have been hampered by geographical dispersion of physicians and/or the difficulty in reconciling time to undertake work together. Within this reality, this PhD thesis uses computational intelligence in medical decision-making support for remote diagnosis. For that purpose, it presents a fuzzy method to assist the diagnosis of breast cancer, able to process and sort data extracted from breast tissue obtained by FNA. This method is integrated into a virtual environment for collaborative remote diagnosis, whose model was developed providing for the incorporation of prerequisite Modules for Pre Diagnosis to support medical decision. On the fuzzy Method Development, the process of knowledge acquisition was carried out by extraction and analysis of numerical data in gold standard data base and by interviews and discussions with medical experts. The method has been tested and validated with real cases and, according to the sensitivity and specificity achieved (correct diagnosis of tumors, malignant and benign respectively), the results obtained were satisfactory, considering the opinions of doctors and the quality standards for diagnosis of breast cancer and comparing them with other studies involving breast cancer diagnosis by FNA.

Otimização de superfícies seletivas de frequência com elementos pré-fractais utilizando rede neural MLP e algoritmos de busca populacional

This thesis describes design methodologies for frequency selective surfaces (FSSs) composed of periodic arrays of pre-fractals metallic patches on single-layer dielectrics (FR4, RT/duroid). Shapes presented by Sierpinski island and T fractal geometries are exploited to the simple design of efficient band-stop spatial filters with applications in the range of microwaves. Initial results are discussed in terms of the electromagnetic effect resulting from the variation of parameters such as, fractal iteration number (or fractal level), fractal iteration factor, and periodicity of FSS, depending on the used pre-fractal element (Sierpinski island or T fractal). The transmission properties of these proposed periodic arrays are investigated through simulations performed by Ansoft DesignerTM and Ansoft HFSSTM commercial softwares that run full-wave methods. To validate the employed methodology, FSS prototypes are selected for fabrication and measurement. The obtained results point to interesting features for FSS spatial filters: compactness, with high values of frequency compression factor; as well as stable frequency responses at oblique incidence of plane waves. This thesis also approaches, as it main focus, the application of an alternative electromagnetic (EM) optimization technique for analysis and synthesis of FSSs with fractal motifs. In application examples of this technique, Vicsek and Sierpinski pre-fractal elements are used in the optimal design of FSS structures. Based on computational intelligence tools, the proposed technique overcomes the high computational cost associated to the full-wave parametric analyzes. To this end, fast and accurate multilayer perceptron (MLP) neural network models are developed using different parameters as design input variables. These neural network models aim to calculate the cost function in the iterations of population-based search algorithms. Continuous genetic algorithm (GA), particle swarm optimization (PSO), and bees algorithm (BA) are used for FSSs optimization with specific resonant frequency and bandwidth. The performance of these algorithms is compared in terms of computational cost and numerical convergence. Consistent results can be verified by the excellent agreement obtained between simulations and measurements related to FSS prototypes built with a given fractal iteration

Técnicas neuronais de agrupamentos aplicadas à detecção de anomalias em mamogramas digitais

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

Especificação de um bloco funcional implementando rede neural para redes industriais foundations fieldbus

This work proposes the specification of a new function block according to Foundation Fieldbus standards. The new block implements an artificial neural network, which may be useful in process control applications. The specification includes the definition of a main algorithm, that implements a neural network, as well as the description of some accessory functions, which provide safety characteristics to the block operation. Besides, it also describes the block attributes emphasizing its parameters, which constitute the block interfaces. Some experimental results, obtained from an artificial neural network implementation using actual standard functional blocks on a laboratorial FF network, are also shown, in order to demonstrate the possibility and also the convenience of integrating a neural network to Fieldbus devices

Separação cega de fontes lineares e não lineares usando algoritmo genético, redes neurais artificiais RBF e negentropia de Rényi como medida de independência

Conventional methods to solve the problem of blind source separation nonlinear, in general, using series of restrictions to obtain the solution, often leading to an imperfect separation of the original sources and high computational cost. In this paper, we propose an alternative measure of independence based on information theory and uses the tools of artificial intelligence to solve problems of blind source separation linear and nonlinear later. In the linear model applies genetic algorithms and Rényi of negentropy as a measure of independence to find a separation matrix from linear mixtures of signals using linear form of waves, audio and images. A comparison with two types of algorithms for Independent Component Analysis widespread in the literature. Subsequently, we use the same measure of independence, as the cost function in the genetic algorithm to recover source signals were mixed by nonlinear functions from an artificial neural network of radial base type. Genetic algorithms are powerful tools for global search, and therefore well suited for use in problems of blind source separation. Tests and analysis are through computer simulations

Análise de um controlador baseado no Jacobiano estimado da planta através de uma rede neural

This work presents an analysis of the control law based on an indirect hybrid scheme using neural network, initially proposed for O. Adetona, S. Sathanathan and L. H. Keel. Implementations of this control law, for a level plant of second order, was resulted an oscillatory behavior, even if the neural identifier has converged. Such results had motivated the investigation of the applicability of that law. Starting from that, had been made stability mathematical analysis and several implementations, with simulated plants and with real plants, for analyze the problem. The analysis has been showed the law was designed being despised some components of dynamic of the plant to be controlled. Thus, for plants that these components have a significant influence in its dynamic, the law tends to fail

Classificação Automática de Modulação Digital com uso de Correntropia para Ambientes de Rádio Cognitivo

Modern wireless systems employ adaptive techniques to provide high throughput while observing desired coverage, Quality of Service (QoS) and capacity. An alternative to further enhance data rate is to apply cognitive radio concepts, where a system is able to exploit unused spectrum on existing licensed bands by sensing the spectrum and opportunistically access unused portions. Techniques like Automatic Modulation Classification (AMC) could help or be vital for such scenarios. Usually, AMC implementations rely on some form of signal pre-processing, which may introduce a high computational cost or make assumptions about the received signal which may not hold (e.g. Gaussianity of noise). This work proposes a new method to perform AMC which uses a similarity measure from the Information Theoretic Learning (ITL) framework, known as correntropy coefficient. It is capable of extracting similarity measurements over a pair of random processes using higher order statistics, yielding in better similarity estimations than by using e.g. correlation coefficient. Experiments carried out by means of computer simulation show that the technique proposed in this paper presents a high rate success in classification of digital modulation, even in the presence of additive white gaussian noise (AWGN)

Memórias da prisão: literatura e liberdade m estudo sobre Graciliano Ramos e Antonio Gramsci

La tese avvicina le Memorie dal carcere, di Graciliano Ramos e i Quaderni dal carcere di Antonio Gramsci, in una prospettiva in cui essi erano uniti per lo stesso ideale politico della prima metá del XX secolo e rappresentavano la resistenza intellettuale di fronte alla repressione. Entrambi furono vittime dell autoritarismo dei poteri fascisti e registrarono il periodo di prigione in differenti forme memorialistiche. Questi scrittori sono uniti anche per il contesto nazionale molto simile per la differenza economica tra le regioni. Condividono, inoltre, anche il concetto di arte e la certezza che l alienzazione dell intelligenza può essere superata solamente attraverso la ricostruzione delle basi nazionali per mezzo della conoscenza, dell educazione e della cultura. Si vuole mostrare come i concetti di Gramsci sono presenti non solo nella convinzione politica di Graciliano, ma in tutto il suo stile letterario memorialístico. Il lavoro, ancora, paragona le Memorie del carcere con due testi memorialistici di prigione in Italia, che sono Le mie prigioni, di Silvio Pellico, e Se questo è un uomo, di Primo Levi, per dimostrare che la proposta della letteratura gramsciana è molto più vicina allo scrittore brasiliano che ai due suoi conazionali.

Pressupostos ontológicos para se pensar a nova tecnologia: técnica, informação e ser e tempo

La recherche presentée, realisée sur le domaine de la méthaphysique, s´agit de rassembler des pressupositions pour une fondamentation ontologique de la technologie de l´Information, basé sur la philophie de Martin Heidegger; foncièrement, sur l´analytique existentiel du Dasein dans l´ouvrage Être et Temps. À partir de la pensée sur ce qui est aujourd´hui , il s´agit d´investiguer sur quels fondaments la Nouvelle Tecnologie se fut érigée de façon a que nous sommes engajés au projet de numérisation des étants que en même temps que destine l´homme a l´oubli de l´Être, l´offre la possibilité de transformation. Le rapport entre la question de l´Être et la question de la technique est analysé comme des chemins croisés et dans ce carrefour il devient possible penser ce qui est technique, ce qui est information pour Heidegger et de quel façon les modes existentiels du Dasein sont prêtes pour caractériser l ´homme au sein de la tecnologie de l´information. Par cette appropriation, il reste penser comment c´est possible l´ouverture d´une perspective de reconduction de l´homme à la vérité de l´Être. Finalement, la structuration des fondements rends possible la réflexion discursive général: avec qui nous nous ocuppons, comme nous sommes, dans quelle direction nous nous acheminons, les thèmes générales, respectivement, des trois chapitres. Les points d´investigation du premier chapitre son: a) La caractérisation précise du Dasein, appuyé sur des considerations de Benedito Nunes, Hans-Georg Gadamer, Jacques Derrida et Rüdiger Safränski; b) Le concept de technique et son essence chez Heidegger; c) la distinction entre technique et technologie, appuyé sur le pensée de J. Ellul, Michel Séris, Otto Pöggeler, Michel Haar, Dominique Janicaud; c) Le concept de cibernetique chez Heidegger et chez Norbert Wiener; d) La caractérisation preliminaire d´information, l´analyse étimologique e philosophique, l´avis de Heidegger te les théories de Rafael Capurro; f) L´Analyse du phénomène de la numérisation des étants, des considérations de Virilio, et l´analyse d´un concept de virtuel avec Henri Bergson et Gilles Deleuze. Dans le deuxième chapitre, l´analyse des existentiels du Dasein vers le sommaire des fondements de base pour la caractérisation de la technologie de l´information comme un problème philosophique. Finalement, aprés avoir presenté les concepts introdutoires que délimitent le questionement, suivi par les indications et pressupositions ontologiques trouvés sur Être et Temps, le troisième chapitre disserte sur le péril, ce qui sauve et la sérénité, les trois mots-clés de la pensée heideggerienne sur la technique que permettent l´approche conclusif de la question

Contribuições da teoria histórico-cultural para o processo de avaliação psicoeducacional

Cet article a comme objectif présenter la contribution de la Psychologie Historique-Culturelle pour l'analyse critique de l'évaluation psychoéducationnel traditionnel et postuler les fondements pour la nouvelle modalité évaluative. Cette proposition se justifie à cause de l'actuelle révitalisation de l'usage des testes padronisés pour la mensuration des fonctions psychologiques, dues à la vulgarisation de la neuropsychologie. Historiquement les testes padronisés servent comme instrument pour attester cientifiquement l'idéologie de l'égalité entre les hommes dans la societé capitaliste que se maintient à travers de l'expropriation et de l'exclusion. En outre, il existe une forte tendence à attendre que les résultats expliquent l'intelligence comme inée ou considèrent les prédispositions héréditaires pour apprendre, ce qu'on oppose à la comprehénsion que les fonctions mentales sont formées dans le proccès de développement historique-social à travers l'appropriation de la culture humaine. Il est nécessaire donc une évaluation qui considère les médiations sociales (des instruments et des signes) comme constituants des fonctions psychologiques encourageant le développement de tous les individus et la non légitimation de l'exclusion sociale.

O Serviço de Informações e a cultura do segredo

Neste texto revisitamos a formação dos serviços de inteligência no Brasil e sua adaptação à cultura do segredo. Também avaliamos como a existência de serviços de inteligência no interior das forças armadas modificaram a estratégia de atuação castrense no âmbito interno, utilizando como exemplo a campanha Marajoara, terceira empreitada militar na guerrilha do Araguaia.

A memória de curto prazo e a síndrome de down: a relação entre contextos de desenvolvimento

Down syndrome (DS) is one of the most frequent causes of intellectual disability, affecting one in every 600 to 1000 live births. Studies have demonstrated that people with DS have a lower capacity for short-term memory (STM) and working memory (WM), which affects their capability to learn new words and to follow spoken instructions, specially when they involve multiple information or consecutive orders/orientations. It seems that the basis of the learning process, as it happens with language and mathematics comprehension and reasoning, relies in the STM and WM systems. Individuals with DS are increasingly included in mainstream education, and yet, very few researches have been conducted to investigate the influence of memory development and the type of enrollment (regular school and special school). This study investigated the relationship between the type of school enrollment with the performance on STM tests and also, the relationship of this performance with early stimulation (ES). The tests used in the first research were the digit span, free recall, word recognition and subtests of the Wechsler Intelligence Scale for Children Third Edition (WISC-III). Individuals enrolled in the regular schools group had higher scores on the digit span test and the subtests of the WISC-III. In the free recall and recognition tests, no differences were found. This study indicates that the type of enrollment might influence the memory development of individuals with DS and clearly points the need for future investigations. In the second research, the tests used were the digit span, free word recall and subtests of the WISC-III. The test results showed better performance by adults that received ES before six months of age. The studies showed improvement in STM both in people who attended or were attending regular school, as well as those who benefited from ES before six months of age. However, some issues still need to be better understood. What is the relation between this stimulation with the individual s education? Since ES may reflect a greater family involvement with the individual, what is the role of emotional components derived from this involvement in the cognitive improvement? These and other questions are part of the continuity of this study

A relação de amizade nas redes sociais de estudantes universitários de Natal/RN

The basis of sociability in humans is based on cooperation. The relationship of friendship is vital to the social, emotional and cognitive development of an individual and can be understood as a consequence of selection for reciprocal altruism in humans. The period of adulthood is considered very suitable and appropriate for the investigation of the relations of friendship, but the Brazilian literature on friendship in adults is still nascent. Therefore, the objective was to characterize the relationship of friendship among college students. The study gathered 500 students from higher education institutions in the city of Natal-RN, Brazil, and 250 women (average age 24.1 ± 7.66 years) and 250 men (mean age 26.77 ± 9.64 years). Two questionnaires anonymously and individual were applied: a sociodemographic questionnaire and the other with the desired characteristics in idealized friends. Study 1 assessed the degree of importance of characteristics in the process of choosing a friend of the same sex and opposite sex of the participant. Study 2 investigated the relationship between patterns of idealization of friends and self-assessment of participants. Overall, were the preferred characteristics "Companionship" and "Sincerity" to idealized friends. We also found the influence of sex on the characteristics attributed to an female ideal friend, with emphasis on men for "Beauty/Good looks" and "Intelligence" and women to "Companionship" and "Sincerity". Finally, we observed a positive correlation between participants' self-assessment and preferences for the characteristics of the friends devised. This study revealed important elements for understanding the relationship of friendship, specifically the process of choosing friends. The results reinforce the importance of studying the relationship of friendship to a better understanding of human social behavior.