8 resultados para Notoriedade
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
The petrochemical industry has as objective obtain, from crude oil, some products with a higher commercial value and a bigger industrial utility for energy purposes. These industrial processes are complex, commonly operating with large production volume and in restricted operation conditions. The operation control in optimized and stable conditions is important to keep obtained products quality and the industrial plant safety. Currently, industrial network has been attained evidence when there is a need to make the process control in a distributed way. The Foundation Fieldbus protocol for industrial network, for its interoperability feature and its user interface organized in simple configuration blocks, has great notoriety among industrial automation network group. This present work puts together some benefits brought by industrial network technology to petrochemical industrial processes inherent complexity. For this, a dynamic reconfiguration system for intelligent strategies (artificial neural networks, for example) based on the protocol user application layer is proposed which might allow different applications use in a particular process, without operators intervention and with necessary guarantees for the proper plant functioning
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Resumo:
The literary critic Terry Eagleton obtained notoriety in academic circles when he was recognized intellectually for his bestselling book Literary Theory: An Introduction. In this book, the English author boldly proposes the end of literature and literary criticism. However, Eagleton proposed years before, in his book Criticism and Ideology (1976), a scientific system of analysis of literary texts, which seemed less radical, both in theory and in method, than in his later theoretical proposal. Based on this, the objective of this dissertation is to present the English literary critic´s initial method, explaining the reasons that led him to abandon his initial project - of develop a method of analysis of the literary text on a Marxist scientific perspective - and to propose, in the following years, in his most famous book and others, a revolutionary vision that would go beyond textual analysis and make literary texts have a practical intervention in society. Finally, we explain what would be his idea of revolutionary criticism
Resumo:
Outsourcing has emerged as one of the new ways of guiding the work. For its advantages and be consistent with the paradigms of managerial reform, outsourcing also started to be used in the Public Administration. However, taking into account the particularities of the latter, some issues are relevant when outsourcing concluded with the State. Gains notoriety, for example, the step of monitoring these contracts, to the extent that, from this activity, we can avoid the negative effects of outsourcing like the fact that the state will pay for labor and wage liens that are obligation of the company providing the services. This study aims to understand the perception that this process is under the Federal University of Rio Grande do Norte, from the point of view of different stakeholders, also explaining the motivations that these agents have to perform the supervisory process. As a theoretical basis was used the Agency Theory, which reinforces the supervisory activities as a necessary means to minimize moral hazard and adverse selection, seeking to understand not only the different motivations tax contracts to properly perform their duties, but also analyze other phenomena arising from this contractual relationship. To achieve the proposed objectives, were taken a literature review and a presentation of how to organize the management and oversight of contracts in UFRN. The methodological procedures included questionnaires and interviews with those involved in the process. After analyzing the results obtained in the survey instruments , and also based on the laws, regulations and instructions governing the procurement process within the UFRN, it was concluded that the process of overseeing the outsourcing of labor contracts in UFRN is not fully institutionalized, some points should be strengthened in order to have the consolidation of this process, highlighting the need for training of UFRN servers that act as tax, the knowledge that the contractual penalties are applied effectively, the need that there is a supervisor of tax of contractors and also the realization of the rotation system of outsourced employees
Resumo:
Innovation has become an increasingly central issue of great reputation, not only in literature but also in management practices, becoming a strategic issue for managers of organizations. Allied to this, there is a high degree of competitiveness on the market, which contributes to the complexity of decision making, since managers need to maintain a continuous cycle of renewal processes and products. Thus, market pressures for new alternatives encourage innovation within organizations as a foundation for culture change in pursuit of survival and increased competitiveness, making it essential to know the factors that promote the advancement of organizational environments targeted innovation. Confirming this view, Bouchikhi and Kimberly (2001) symbolically expressed the idea with two statements: (1) companies need to innovate to survive, otherwise they die; and (2) the wide recognition of this need, as well as the difficulty to encourage and support innovation and entrepreneurship in business, has generated a mini-industry research and consulting in management focused on these topics. This study is characterized as descriptive with qualitative and quantitative methods. As for the planning of the research, it was decided to bibliographical research and the case study. The research, developed here, is meant to examine the organizational environment of a laboratory focused on technological innovation in health, which is a reference in research and technology of Rio Grande do Norte, and ensure that it presents opportunities to develop innovations. Therefore, the technologies developed by the Laboratório de Inovação Tecnológica em Saúde - LAIS/UFRN were mapped and then a questionnaire with the stakeholders of LAIS/UFRN was applied. This questionnaire is closed and Likert scale. As a result, it follows that the dimensions 1, 6, 7 and 8 are the most influential to form an innovative environment at LAIS.
Resumo:
In the last decades the study of integer-valued time series has gained notoriety due to its broad applicability (modeling the number of car accidents in a given highway, or the number of people infected by a virus are two examples). One of the main interests of this area of study is to make forecasts, and for this reason it is very important to propose methods to make such forecasts, which consist of nonnegative integer values, due to the discrete nature of the data. In this work, we focus on the study and proposal of forecasts one, two and h steps ahead for integer-valued second-order autoregressive conditional heteroskedasticity processes [INARCH (2)], and in determining some theoretical properties of this model, such as the ordinary moments of its marginal distribution and the asymptotic distribution of its conditional least squares estimators. In addition, we study, via Monte Carlo simulation, the behavior of the estimators for the parameters of INARCH(2) processes obtained using three di erent methods (Yule- Walker, conditional least squares, and conditional maximum likelihood), in terms of mean squared error, mean absolute error and bias. We present some forecast proposals for INARCH(2) processes, which are compared again via Monte Carlo simulation. As an application of this proposed theory, we model a dataset related to the number of live male births of mothers living at Riachuelo city, in the state of Rio Grande do Norte, Brazil.
Resumo:
In the last decades the study of integer-valued time series has gained notoriety due to its broad applicability (modeling the number of car accidents in a given highway, or the number of people infected by a virus are two examples). One of the main interests of this area of study is to make forecasts, and for this reason it is very important to propose methods to make such forecasts, which consist of nonnegative integer values, due to the discrete nature of the data. In this work, we focus on the study and proposal of forecasts one, two and h steps ahead for integer-valued second-order autoregressive conditional heteroskedasticity processes [INARCH (2)], and in determining some theoretical properties of this model, such as the ordinary moments of its marginal distribution and the asymptotic distribution of its conditional least squares estimators. In addition, we study, via Monte Carlo simulation, the behavior of the estimators for the parameters of INARCH(2) processes obtained using three di erent methods (Yule- Walker, conditional least squares, and conditional maximum likelihood), in terms of mean squared error, mean absolute error and bias. We present some forecast proposals for INARCH(2) processes, which are compared again via Monte Carlo simulation. As an application of this proposed theory, we model a dataset related to the number of live male births of mothers living at Riachuelo city, in the state of Rio Grande do Norte, Brazil.
Resumo:
The petrochemical industry has as objective obtain, from crude oil, some products with a higher commercial value and a bigger industrial utility for energy purposes. These industrial processes are complex, commonly operating with large production volume and in restricted operation conditions. The operation control in optimized and stable conditions is important to keep obtained products quality and the industrial plant safety. Currently, industrial network has been attained evidence when there is a need to make the process control in a distributed way. The Foundation Fieldbus protocol for industrial network, for its interoperability feature and its user interface organized in simple configuration blocks, has great notoriety among industrial automation network group. This present work puts together some benefits brought by industrial network technology to petrochemical industrial processes inherent complexity. For this, a dynamic reconfiguration system for intelligent strategies (artificial neural networks, for example) based on the protocol user application layer is proposed which might allow different applications use in a particular process, without operators intervention and with necessary guarantees for the proper plant functioning