Auditoria de inteligência: um método para o diagnóstico de sistemas de inteligência competitiva e organizacional

CARVALHO, Andréa Vasconcelos ; ESTEBAN NAVARRO, Miguel Ángel. . Auditoria de Inteligência: um método para o diagnóstico de sistemas de inteligência competitiva e organizacional. In: XI ENANCIB - Encontro Nacional de Pesquisa em Ciência da Informação, 2010, Rio de Janeiro. Anais do XI ENANCIB. Rio de Janeiro: ANCIB, 2010.

Técnicas de inteligência artificial para a geração dinâmica de set points para uma coluna de destilação

Artificial Intelligence techniques are applied to improve performance of a simulated oil distillation system. The chosen system was a debutanizer column. At this process, the feed, which comes to the column, is segmented by heating. The lightest components become steams, by forming the LPG (Liquefied Petroleum Gas). The others components, C5+, continue liquid. In the composition of the LPG, ideally, we have only propane and butanes, but, in practice, there are contaminants, for example, pentanes. The objective of this work is to control pentane amount in LPG, by means of intelligent set points (SP s) determination for PID controllers that are present in original instrumentation (regulatory control) of the column. A fuzzy system will be responsible for adjusting the SP's, driven by the comparison between the molar fraction of the pentane present in the output of the plant (LPG) and the desired amount. However, the molar fraction of pentane is difficult to measure on-line, due to constraints such as: long intervals of measurement, high reliability and low cost. Therefore, an inference system was used, based on a multilayer neural network, to infer the pentane molar fraction through secondary variables of the column. Finally, the results shown that the proposed control system were able to control the value of pentane molar fraction under different operational situations

Análise e síntese de antenas e superfícies seletivas de frequência utilizando computação evolucionária e inteligência de enxames

The frequency selective surfaces, or FSS (Frequency Selective Surfaces), are structures consisting of periodic arrays of conductive elements, called patches, which are usually very thin and they are printed on dielectric layers, or by openings perforated on very thin metallic surfaces, for applications in bands of microwave and millimeter waves. These structures are often used in aircraft, missiles, satellites, radomes, antennae reflector, high gain antennas and microwave ovens, for example. The use of these structures has as main objective filter frequency bands that can be broadcast or rejection, depending on the specificity of the required application. In turn, the modern communication systems such as GSM (Global System for Mobile Communications), RFID (Radio Frequency Identification), Bluetooth, Wi-Fi and WiMAX, whose services are highly demanded by society, have required the development of antennas having, as its main features, and low cost profile, and reduced dimensions and weight. In this context, the microstrip antenna is presented as an excellent choice for communications systems today, because (in addition to meeting the requirements mentioned intrinsically) planar structures are easy to manufacture and integration with other components in microwave circuits. Consequently, the analysis and synthesis of these devices mainly, due to the high possibility of shapes, size and frequency of its elements has been carried out by full-wave models, such as the finite element method, the method of moments and finite difference time domain. However, these methods require an accurate despite great computational effort. In this context, computational intelligence (CI) has been used successfully in the design and optimization of microwave planar structures, as an auxiliary tool and very appropriate, given the complexity of the geometry of the antennas and the FSS considered. The computational intelligence is inspired by natural phenomena such as learning, perception and decision, using techniques such as artificial neural networks, fuzzy logic, fractal geometry and evolutionary computation. This work makes a study of application of computational intelligence using meta-heuristics such as genetic algorithms and swarm intelligence optimization of antennas and frequency selective surfaces. Genetic algorithms are computational search methods based on the theory of natural selection proposed by Darwin and genetics used to solve complex problems, eg, problems where the search space grows with the size of the problem. The particle swarm optimization characteristics including the use of intelligence collectively being applied to optimization problems in many areas of research. The main objective of this work is the use of computational intelligence, the analysis and synthesis of antennas and FSS. We considered the structures of a microstrip planar monopole, ring type, and a cross-dipole FSS. We developed algorithms and optimization results obtained for optimized geometries of antennas and FSS considered. To validate results were designed, constructed and measured several prototypes. The measured results showed excellent agreement with the simulated. Moreover, the results obtained in this study were compared to those simulated using a commercial software has been also observed an excellent agreement. Specifically, the efficiency of techniques used were CI evidenced by simulated and measured, aiming at optimizing the bandwidth of an antenna for wideband operation or UWB (Ultra Wideband), using a genetic algorithm and optimizing the bandwidth, by specifying the length of the air gap between two frequency selective surfaces, using an optimization algorithm particle swarm

Estudo de Superfícies Seletivas de Frequência com o Uso de Inteligência Computacional

The main objective of this work is to optimize the performance of frequency selective surfaces (FSS) composed of crossed dipole conducting patches. The optimization process is performed by determining proper values for the width of the crossed dipoles and for the FSS array periodicity, while the length of the crossed dipoles is kept constant. Particularly, the objective is to determine values that provide wide bandwidth using a search algorithm with representation in bioinspired real numbers. Typically FSS structures composed of patch elements are used for band rejection filtering applications. The FSS structures primarily act like filters depending on the type of element chosen. The region of the electromagnetic spectrum chosen for this study is the one that goes from 7 GHz to 12 GHz, which includes mostly the X-band. This frequency band was chosen to allow the use of two X-band horn antennas, in the FSS measurement setup. The design of the FSS using the developed genetic algorithm allowed increasing the structure bandwidth

Auditoria de inteligência: um método para o diagnóstico de sistemas de inteligência competitiva e organizacional

CARVALHO, Andréa Vasconcelos ; ESTEBAN NAVARRO, Miguel Ángel. . Auditoria de Inteligência: um método para o diagnóstico de sistemas de inteligência competitiva e organizacional. In: XI ENANCIB - Encontro Nacional de Pesquisa em Ciência da Informação, 2010, Rio de Janeiro. Anais do XI ENANCIB. Rio de Janeiro: ANCIB, 2010.

Da atividade dialógica: aspectos lógicos

CRUZ, Ângela M. P.; Lycurgo, Tassos. Da atividade dialógica: aspectos lógicos. Revista Vivência, Natal, v. 26, p. 51-58, 2004.

Uma aplicação da apredizagem por reforço na otimização da produção em um campo de petróleo

The objective of reservoir engineering is to manage fields of oil production in order to maximize the production of hydrocarbons according to economic and physical restrictions. The deciding of a production strategy is a complex activity involving several variables in the process. Thus, a smart system, which assists in the optimization of the options for developing of the field, is very useful in day-to-day of reservoir engineers. This paper proposes the development of an intelligent system to aid decision making, regarding the optimization of strategies of production in oil fields. The intelligence of this system will be implemented through the use of the technique of reinforcement learning, which is presented as a powerful tool in problems of multi-stage decision. The proposed system will allow the specialist to obtain, in time, a great alternative (or near-optimal) for the development of an oil field known

Teodora e Porcina: faces simbólicas da natureza em narrativas de mulheres sábias

This research looks at the collective imagination in which it keeps alive the issue of heroin wise. Two wise women appear in the narratives of popular history and the History of Donzela Theodora and History Imperatriz Porcina, collated by Luís da Câmara Cascudo in his Five Books of the People. The universality, mobility and circularity of these narratives are discussed by authors such as Bakhtin and Guinzburg. The research is developed from three key categories: Knowledge Magic as the knowledge of tradition (Almeida), sensitive knowledge (Levi-Strauss), thought mythical / magical / symbolic (Morin); Wise Women as carriers of this knowledge, which merge and overlap with the imagery of witches and healers; and Mythical Elements which corresponds to the archetypal images (Jung and Silveira), symbols and other images that relate to the magic universe, the magical beliefs and practices considered, ie belonging to the imaginary magic (Bethencourt). Porcina and Theodora are understood as bearers of knowledge of Métis (Detienne and Vernant), or the cunning intelligence, the manipulation of phármakon (Derrida), the healing potion, which may be the word or ointment of the herb. The route takes us to meet the great archetype of the Wise Woman as psychic power of the feminine, the anima. Narratives are medicinal balms (Estes) and is the clash between the anima and its embodiments by wise women, and animus, his opponents, which gives the transmutation of the psyche, a work comparable to that of alchemyThe Knowledge Magic, operating through the female, myth and nature can recover from its essential value to the emerging paradigm that suggests a more complete human science and a more plural

O direito fundamental contra a autoincriminação: a análise a partir de uma teoria do Processo Penal Constitucional

The right against self-incrimination is a fundamental right that works in the criminal prosecution, and therefore deserves a study supported by the general theory of criminal procedure. The right has a vague origin, and despite the various historical accounts only arises when there is a criminal procedure structured that aims to limit the State´s duty-power to punish. The only system of criminal procedure experienced that reconciles with seal self-incrimination is the accusatory model. The inquisitorial model is based on the construction of a truth and obtaining the confession at any cost, and is therefore incompatible with the right in study. The consecration of the right arises with the importance that fundamental rights have come to occupy in the Democratic Constitutional States. In the Brazilian experience before 1988 was only possible to recognize that self-incrimination represented a procedural burden for accused persons. Despite thorough debate in the Constituent Assembly, the right remains consecrated in a textual formula that´s closer to the implementation made by the Supreme Court of the United States, known as "Miranda warnings", than the text of the Fifth Amendment to the U.S. Constitution that established originally the right against self-incrimination with a constitutional status. However, the imprecise text does not prevent the consecration of the principle as a fundamental right in Brazilian law. The right against self-incrimination is a right that should be observed in the Criminal Procedure and relates to several of his canons, such as the the presumption of not guilty, the accusatory model, the distribution of the burden of proof, and especially the right of defense. Because it a fundamental right, the prohibition of self-incrimination deserves a proper study to her constitutional nature. For the definition of protected persons is important to build a material concept of accused, which is different of the formal concept over who is denounced on the prosecution. In the objective area of protection, there are two objects of protection of the norm: the instinct of self-preservation of the subject and the ability to self-determination. Configuring essentially a evidence rule in criminal procedure, the analysis of the case should be based on standards set previously to indicate respect for the right. These standard include the right to information of the accused, the right to counsel and respect the voluntary participation. The study of violations cases, concentrated on the element of voluntariness, starting from the definition of what is or is not a coercion violative of self-determination. The right faces new challenges that deserve attention, especially the fight against terrorism and organized crime that force the development of tools, resources and technologies about proves, methods increasingly invasive and hidden, and allow the use of information not only for criminal prosecution, but also for the establishment of an intelligence strategy in the development of national and public security

Cecília Meireles e a lírica pedagógica em Criança meu amor (1924)

The research Cecília Meireles and the Pedagogical Lyric in Children My Love (1924) consists in a critical analysis, a cultural and historical approach to the pedagogical intentionalities and to the social and educational functionalities expressed in the childish literary work of the poetess and educator Cecília Meireles (1901-1964), in Brazil, during the first decades of XX century. The author s conceptions of the literary art, the philosophical and educational foundations, the Christian and liberal ideologies and values pertinent to her work for children and the relations between her texts and the ideals of the Brazilian intellectuals to effect changes in the every day life based on the child formation and on the teaching feminization process were examined in the work. This paper shows a content analysis with the intention of offering signification to the work Children My Love (1924) according to the investigation of specific categories: child, motherhood and schooling; through the exploration of synonymous and bipolar key-words found in Cecília s documents: child/adult, teacher/mother; school/home, ignorance/intelligence. The research intends to understand how the author articulates, in her informal pedagogical action in Children s Literature, science, literary and Christian faith knowledge, in order to expand her social and educational ideal concentrated in children, guided by the maternal hand and aimed at constructing a New Man, New Civilization and a New Social Order

Escafandristas do tempo: narrativas de vida e regeneração da memória em São Rafael-RN

In the late 1970s, the semi-arid region of Rio Grande do Norte was the setting of Projeto Baixo-Açu whose highlight was the building of the dam Eng. Armando Ribeiro Gonçalves, designed to collect 2.4 billion cubic meters of water. Presumably, such an initiative would bring economic and social development for thousands of potiguares who suffered the hardships of drought. However, the dam would reach several cities in the region, reaching to cover one of them: São Rafael. As a result, the early years of the 1980s, nearby, a new town was built by DNOCS. This thesis aims to discuss how the population of São Rafael recalls this fact and reconstructs its history by speaking, writing and computing, after three decades. Based on the prospect moriniana method as a strategy, visits were made to the city of São Rafael and open interviews (individual and collective) with two groups of subjects: one composed of those who lived in their ancient homeland, and another, with young people who were born in the new city. Besides the reports of these subjects, they were observed the visual narratives presented by images, mostly photographic, available on a profile created for the city in the orkut social network. As sources for this study, they were also considered the dialogues between rafaelenses accessing the above profile. Having as a central observation by Edgar Morin about what does not regenerate, degenerates . This study is the central argument that the idea of orkut has performed, today, a dual and interdependent role: being a tool that promotes a collective intelligence through cooperation, exchange of ideas and reconstitution of visual and written narratives. Far from a frozen conception in a historical perspective, it has defended the thesis that orkut has regenerated, repaired, reproduced, restored, reorganized and renewed the memory and history of a city that has succumbed to the immensity of the waters of a dam for almost thirty years

A gestão do conhecimento e a inovação tecnológica como fatores de sobrevivência e de competitividade na sociedade do conhecimento: uma análise exploratória das MPEs do Rio Grande do Norte

The study examines the process of Knowledge Management and Technological Innovation in Small and Micro Enterprises (SME) in Rio Grande do Norte, Brazil, and proposes actions that can contribute to regional development and competitiveness of SME. Presents as technological innovation can help to make the SME entrepreneurial activities with innovative and competitive. Defines the phases and activities of the construction of knowledge in small organizations. Examines the process of Innovation, Research and Development (R & D) in SME. Identifies the use of knowledge management and technological innovation in management practices and social interaction to influence the competitiveness of SME. Covers the communities of practice as a diffuser of knowledge and learning. To obtain the data were used questionnaires with closed questions with multiple choice, direct observations and interviews with companies. The questionnaires and interviews covered the topics of Innovation, Knowledge Management and Competitive Intelligence on SME. The sample consisted of a total of 13 Small and Micro Enterprises Award winning MPE Brazil Competitiveness, sponsored by SEBRAE in the State of Rio Grande do Norte. The assessment questionnaires dealing with the Knowledge Management (KM Diagnostics - Model Bukowitz and Williams, 2002) and the process of Technological Innovation (Adaptation of ANPEI - National Association for Research, Development and Engineering of Innovative Companies). With the analysis, we concluded that the SME perceive knowledge management, but not formalized management practices so as to facilitate the dissemination of information. Soon, these companies need additional supports to direct them to the innovative activities that generate added value and competitiveness in the market

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.