Inovação e gestão do conhecimento no setor petrolífero do RN

Este trabalho apresenta um estudo da Gestão do Conhecimento (GC) no sistema petrolífero do Rio Grande do Norte, considerando possíveis inovações resultantes dessa gestão. Inicialmente, foi feita uma abordagem com relação as características do sistema de petróleo e gás do RN, com base em conceitos disponíveis na literatura. Visou atender aos seguintes objetivos: diagnosticar a rede de empresas do setor petrolífero do RN, identificando qual o estágio de GC em que elas se encontram; identificar e avaliar as práticas de GC utilizadas internamente na Petrobras e nas suas interações dentro da aglomeração; caracterizar a ocorrência das relações entre a UFRN (Universidade Federal do Rio Grande do Norte) x Petrobras. Para alcançar tais objetivos foi desenvolvido um formulário baseado em indicadores de GC e na PINTEC2005 (IBGE), o qual foi aplicado em três grupos: PETROBRAS, Fornecedores da PETROBRAS e UFRN. Como resultados obtidos têm-se: uma análise da GC na PETROBRAS, da GC nos Fornecedores e da cooperação para inovação entre os participantes do sistema, sendo apresentado um estudo da parceria para inovação entre a UFRN x PETROBRAS. Conclui-se que o sistema é uma aglomeração e que apresenta características de um Cluster. Conclui-se ainda que a GC na PETROBRAS encontra-se em fase avançada de implantação no âmbito da corporação, e a parceria entre UFRN e Petrobras pode ser utilizada como modelo de sucesso de integração entre empresas e instituições de pesquisa. Ao final são apresentados, em especial, os resultados obtidos com relação à gestão do conhecimento para a inovação na rede de empresas que operam o sistema petrolífero no Rio Grande do Norte, objetivo principal desta dissertação

Gestão do Conhecimento baseado na análise de GAP de competências: Um estudo de caso do DETRAN-RN

The Knowledge Management in organizations is a continuous process of learning that is given by the integration of data, information and the ability of people to use this information. The Management Skills is concerned to understand the powers of officials in the face of organizational skills (teams) and professionals (or tasks positions) want. Joints are located in the greater context of the economy of organizatio s and have the same assumption: that the possession of scarce resources, valuable and difficult to imitate gives the organization a competitive advantage. In this sense, this thesis proposes a model of knowledge management based on analysis of GAP of powers, namely the gap between the skills needed to reach the expected performance and skills already available in the organization, officials and trainees of Coordination of Registration of conductors of DETRAN-RN. Using the method of survey research could make an analysis of academic skills, techniques and emotional individual and a team of officials and trainees, identifying levels of GAP's competence in that sector of the organization and suggest a plan for training , A level of expertise for each sector of coordination, and propose a model for Knowledge Management to help the management of GAP's identified

Um estudo da aplicação do conceito de risco na conscientização e conhecimento de estudantes de ensino técnico sobre riscos de segurança e saúde ocupacional em laboratório de soldagem

This dissertation presents a discussion on the level of risk awareness of students who have welding practice in the laboratories at CEFET/PI, both in Teresina and Floriano. Its main goal is to investigate risk factors involving students, teachers and employees that work in these laboratories. It s an empirical survey, held among a certain amount of students from the course in Mechanic Technology. For data analysis, the concept of risk was compared to the students direct measure of perception. The main results suggest the students must be better informed, more risk aware and more competent, in order to avoid accidents. They also point to a strong need for a more formal and effective performance to assure full consciousness about the risks involving the welding practice.

Rede Água: instrumento de construção colaborativa e democratização do conhecimento, direcionado as cadeias produtivas da pesca e da aqüicultura Proposta de metodologia

This paper proposes a methodology for building Information Technology solutions in the form of virtual environments that allow for collaborative construction and democratization of knowledge for and about supply chains, providing tools for collaboration iteration and the social actors involved, valuing its environmental variables and assisting in its development. The scope of supply chains of aquaculture and fisheries and www.redeagua.com.br were the objects of research and prototyping of this paper. AVA Moodle was chosen to create the environment in question by their full fitness the socio-cultural characteristics of the target audience and the structure of existing digital inclusion, making necessary the development of strategies to generate interest from productive agents in their effective participation as collaborators and not just as recipients of content. The structure of this survey work will be qualitative-quantitative, using both traditional elements such as forms and interviews as sources typical of virtual environments, such as statistical reports of visitation and placement in search engines on the Internet

Gestão do Conhecimento e o uso estratégico de Tecnologias de Informação: um estudo em Redes de Franquias no Estado do Rio Grande do Norte

This study discusses the use of information technologies for knowledge management in networks of franchises in the Rio Grande do Norte/Brazil, whose management and operation are complex activities, characterized by the geographic spread of their network unities, creating barriers to communication and information sharing between franchisors, franchisees and final customers. In view of this, the following hypotheses were formulated: the knowledge management can be a positive alternative for improving communication between units; and information technology can eliminate many problems related mainly to capture and share knowledge. In general, it aims to investigate, in qualitative and quantitative aspects, how information technology can support knowledge management in networks of franchises. Specifically purposes to register the existence of managerial practices related to knowledge management in enterprises at the franchising sector; to verify whether they have the technological resources with the potential to facilitate the sharing of information; to identify what are the technologies of information and communication used in the organizational environment; and suggest measures that will facilitate the process of organizational learning, using information technology and communication as tools. It concludes that knowledge management becomes a positive alternative, especially in strengthening of bonds of communication and sharing of knowledge between the franchises. In this regard, information technology must provide all the services of the corporation to facilitate communication between franchisor and franchisee, through a single and integrated system. However, they still show unsuitable for more sophisticated technology platforms

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

A pegada de carbono como um dos indicadores de sustentabilidade para medição da responsabilidade socioambiental empresarial: um estudo de caso na unidade sede da Petrobras em Natal-RN

As a contemporary tendency, it is been evidenced that the environmental changes theme, already admitted as a concernment to international economical and political reality, is also gaining repercussion on industrial and business sector. Firms are implementing actions on trial to minimize their own greenhouse gases (GHG) emissions impacts. However, the great majority of those actions of Corporative Social-Environmental Responsibility (CSR) are referred only to direct emissions of the main production systems. Direct emissions are those derived of an isolate process, without considering the upstream and downstream processes emissions, which respond for the majority of emissions originated because of respective firm‟s production system existence. Because the greenhouse effect occurs globally and the GHG emissions contribute to the environmental changes independently of their origin, it must be taken into account the whole productive life cycle of products and systems, since the energy invested on resources extraction and necessary materials to the final disposal. To do so, it must be investigated all relevant steps of a product/production system life cycle, tracking all activities which emit greenhouse gases, directly or indirectly. This amount of emissions consists in the firm‟s Carbon Footprint. This research purpose is to defend the Carbon Footprint relevance and its adoption viability to be used as an Environmental Indicator on measurement/assessment of CSR. It has been realized a study case on Petrobras‟s seat unity at Natal-Brazil, assessing part of its Carbon Footprint. It has been used the software GEMIS 4.6 to do the emissions quantifying. The items measured were the direct emissions of the own unity vehicles and indirect emissions of offset paper (A4), energy and disposable plastic cups consumed. To 2009, these emissions were 3.811,94 tCO2eq. We may conclude that Carbon Footprint quantification is indispensable to the knowledge of real emissions caused by a productive process existence, must serving as basis to CSR decisions about the environmental changes reversion challenge

Desenvolvimento de um modelo de gestão do conhecimento para a melhoria do processo de desenvolvimento de produtos

The knowledge management has received major attention from product designers because many of the activities within this process have to be creative and, therefore, they depend basically on the knowledge of the people who are involved in the process. Moreover, Product Development Process (PDP) is one of the activities in which knowledge management manifests in the most critical form once it had the intense application of the knowledge. As a consequence, this thesis analyzes the knowledge management aiming to improve the PDP and it also proposes a theoretical model of knowledge management. This model uses five steps (creation, maintenance, dissemination, utilization and discard) through the verification of the occurrence of four types of knowledge conversion (socialization, externalization, combination and internalization) that it will improve the knowledge management in this process. The intellectual capital in Small and Medium Enterprises (SMEs) managed efficiently and with the participation of all employees has become the mechanism of the creation and transference processes of knowledge, supporting and, consequently, improving the PDP. The expected results are an effective and efficient application of the proposed model for the creation of the knowledge base within an organization (organizational memory) aiming a better performance of the PDP. In this way, it was carried out an extensive analysis of the knowledge management (instrument of qualitative and subjective evaluation) within the Design department of a Brazilian company (SEBRAE/RN). This analysis aimed to know the state-of-the-art of the Design department regarding the use of knowledge management. This step was important in order to evaluate in the level of the evolution of the department related to the practical use of knowledge management before implementing the proposed theoretical model and its methodology. At the end of this work, based on the results of the diagnosis, a knowledge management system is suggested to facilitate the knowledge sharing within the organization, in order words, the Design department

A influência da gestão do conhecimento nas companhias brasileiras com melhor governança corporativa: uma análise nas empresas classificadas pelo Investor Relations Global Rankings

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Arquitetura inteligente fuzzy para monitoramento de sinais vitais de pacientes: um estudo de caso em UTI

The area of the hospital automation has been the subject a lot of research, addressing relevant issues which can be automated, such as: management and control (electronic medical records, scheduling appointments, hospitalization, among others); communication (tracking patients, staff and materials), development of medical, hospital and laboratory equipment; monitoring (patients, staff and materials); and aid to medical diagnosis (according to each speciality). This thesis presents an architecture for a patient monitoring and alert systems. This architecture is based on intelligent systems techniques and is applied in hospital automation, specifically in the Intensive Care Unit (ICU) for the patient monitoring in hospital environment. The main goal of this architecture is to transform the multiparameter monitor data into useful information, through the knowledge of specialists and normal parameters of vital signs based on fuzzy logic that allows to extract information about the clinical condition of ICU patients and give a pre-diagnosis. Finally, alerts are dispatched to medical professionals in case any abnormality is found during monitoring. After the validation of the architecture, the fuzzy logic inferences were applied to the trainning and validation of an Artificial Neural Network for classification of the cases that were validated a priori with the fuzzy system

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.

Algoritmos genéticos: uso de lógica nebulosa e análise de convergência por cadeia de Markov

In this work, the Markov chain will be the tool used in the modeling and analysis of convergence of the genetic algorithm, both the standard version as for the other versions that allows the genetic algorithm. In addition, we intend to compare the performance of the standard version with the fuzzy version, believing that this version gives the genetic algorithm a great ability to find a global optimum, own the global optimization algorithms. The choice of this algorithm is due to the fact that it has become, over the past thirty yares, one of the more importan tool used to find a solution of de optimization problem. This choice is due to its effectiveness in finding a good quality solution to the problem, considering that the knowledge of a good quality solution becomes acceptable given that there may not be another algorithm able to get the optimal solution for many of these problems. However, this algorithm can be set, taking into account, that it is not only dependent on how the problem is represented as but also some of the operators are defined, to the standard version of this, when the parameters are kept fixed, to their versions with variables parameters. Therefore to achieve good performance with the aforementioned algorithm is necessary that it has an adequate criterion in the choice of its parameters, especially the rate of mutation and crossover rate or even the size of the population. It is important to remember that those implementations in which parameters are kept fixed throughout the execution, the modeling algorithm by Markov chain results in a homogeneous chain and when it allows the variation of parameters during the execution, the Markov chain that models becomes be non - homogeneous. Therefore, in an attempt to improve the algorithm performance, few studies have tried to make the setting of the parameters through strategies that capture the intrinsic characteristics of the problem. These characteristics are extracted from the present state of execution, in order to identify and preserve a pattern related to a solution of good quality and at the same time that standard discarding of low quality. Strategies for feature extraction can either use precise techniques as fuzzy techniques, in the latter case being made through a fuzzy controller. A Markov chain is used for modeling and convergence analysis of the algorithm, both in its standard version as for the other. In order to evaluate the performance of a non-homogeneous algorithm tests will be applied to compare the standard fuzzy algorithm with the genetic algorithm, and the rate of change adjusted by a fuzzy controller. To do so, pick up optimization problems whose number of solutions varies exponentially with the number of variables

Técnicas visuais de localização e mapeamento simultâneos sem extração de primitivas geométricas da imagem

In Simultaneous Localization and Mapping (SLAM - Simultaneous Localization and Mapping), a robot placed in an unknown location in any environment must be able to create a perspective of this environment (a map) and is situated in the same simultaneously, using only information captured by the robot s sensors and control signals known. Recently, driven by the advance of computing power, work in this area have proposed to use video camera as a sensor and it came so Visual SLAM. This has several approaches and the vast majority of them work basically extracting features of the environment, calculating the necessary correspondence and through these estimate the required parameters. This work presented a monocular visual SLAM system that uses direct image registration to calculate the image reprojection error and optimization methods that minimize this error and thus obtain the parameters for the robot pose and map of the environment directly from the pixels of the images. Thus the steps of extracting and matching features are not needed, enabling our system works well in environments where traditional approaches have difficulty. Moreover, when addressing the problem of SLAM as proposed in this work we avoid a very common problem in traditional approaches, known as error propagation. Worrying about the high computational cost of this approach have been tested several types of optimization methods in order to find a good balance between good estimates and processing time. The results presented in this work show the success of this system in different environments

Um sistema para gestão do conhecimento em ameaças, vulnerabilidades e seus efeitos

Attacks to devices connected to networks are one of the main problems related to the confidentiality of sensitive data and the correct functioning of computer systems. In spite of the availability of tools and procedures that harden or prevent the occurrence of security incidents, network devices are successfully attacked using strategies applied in previous events. The lack of knowledge about scenarios in which these attacks occurred effectively contributes to the success of new attacks. The development of a tool that makes this kind of information available is, therefore, of great relevance. This work presents a support system to the management of corporate security for the storage, retrieval and help in constructing attack scenarios and related information. If an incident occurs in a corporation, an expert must access the system to store the specific attack scenario. This scenario, made available through controlled access, must be analyzed so that effective decisions or actions can be taken for similar cases. Besides the strategy used by the attacker, attack scenarios also exacerbate vulnerabilities in devices. The access to this kind of information contributes to an increased security level of a corporation's network devices and a decreased response time to occurring incidents

Estudo do potencial de utilização do resíduo da extração de esmeraldas na fabricação de cerâmica de revestimento

Companies involved in emerald mining and treatment represent an important area of industrial development in Brazil, with significative contribution to the worldwide production of such mineral. As a result, large volumes of emerald waste are constantly generated and abandoned in the environment, negatively contributing to its preservation. By the other side the interest of the use of mining waste as additive in ceramic products has been growing from researchers in recent years. The ceramic industry is constantly seeking to the marked amplification for the sector and perfecting the quality of the products and to increase the variety of applications. The technology of obtaining of ceramic tiles that uses mining residues assists market niches little explored. In this scenario, the objective of the present study was to characterize the residue generated from emerald mining as well as to assess its potential use as raw material for the production of ceramic tiles. Ceramic mixtures were prepared from raw materials characterized by X-ray fluorescence, X-ray diffraction, particle size analysis and thermal analysis. Five compositions were prepared using emerald residue contents of 0%, 10%, 20%, 30% and 40%. Samples were uniaxially pressed, fired at 1000, 1100 and 1200ºC and characterized aiming at establishing their mineralogical composition, water absorption, apparent porosity, specific mass, linear retraction and modulus of rupture. The results shows that the emerald residue, basically consisted of 73% of (SiO2 + Al2O3) and 17,77% of (MgO + Na2O+ K2O) (that facilitates sintering), can be added to the ceramic tile materials with no detrimental effect on the properties of the sintered products