1000 resultados para Telecomunicações - Preços


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As energias renováveis têm sido cada vez mais a alternativa encontrada para substituir o uso dos combustíveis fósseis na produção de energia. Neste contexto, surge a oportunidade de realizar um estudo sobre o “Potencial Solar dos Edifícios Públicos da RAM” como objeto de trabalho desta tese de Mestrado em Engenharia de Telecomunicações e Redes de Energia (METRE). Pretende-se que este estudo sirva para impulsionar o investimento nesta área por parte dos decisores regionais, dotando-os de um estudo do potencial de produção de energia solar nos edifícios públicos da RAM. Através de estudos desenvolvidos pelo LREC, ERAMAC - Maximização da Penetração das Energias Renováveis e Utilização Racional da Energia nas Ilhas da Macaronésia, e do Joint Research Centre (JRC), contendo dados do Instituto Meteorológico (IM), da Agência Regional da Energia e Ambiente da Região Autónoma da Madeira (AREAM), do LREC e do World Meteorological Organization (WMO), avaliou-se a radiação solar na RAM, através de tabelas e mapas de radiação solar, contendo a radiação solar global diária média mensal e média anual. Posteriormente fez-se uma análise da oferta do mercado atual de painéis fotovoltaicos (PV) em termos de eficiência, distinguindo as várias gerações de tipos de painéis introduzidos no mercado. Foram realizadas várias pesquisas em diversas áreas de energias renováveis e tecnologias existentes para, posteriormente, se realizar uma seleção e introspeção da informação essencial ao tema de forma a definir-se a fase de desenvolvimento desta tese. Com o auxílio da ferramenta computacional Quantum GIS, foram identificados alguns edifícios públicos com a dimensão e exposição solar apropriada para a colocação de sistemas solares nos mesmos. De seguida, foi realizado uma análise do preço pago/recebido por kWh consumido/produzido e cinco casos de estudos, nos quais foram focados os diferentes impactos de várias tecnologias solares nos prédios públicos da RAM, avaliando financeiramente os custos e retorno do investimento na aplicação destas tecnologias em cada caso, através das ferramentas computacionais, SolTerm e RETScreen. Finalmente retirou-se as respetivas conclusões acerca das opções tomadas, por exemplo, na escolha das tecnologias solares a implementar, os seus custos, o retorno do investimento, preços dos painéis fotovoltaicos, entre outros.

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This study aims to understand the general model of governance of information technology adopted by telecommunication companies operating in Rio Grande do Norte. The research methodology used involved a theoretical and empirical approach prepared, involving two case studies on companies in the telecommunications industry working in the state of Rio Grande do Norte. The study covered the area of IT organizations, through interviews with managers responsible for the area of Telecommunications / IT. To study in accordance with the approach and address the problem of research, this study was based on qualitative criteria, which enabled the understanding of how companies adopt the governance of information technology. In conclusion, it was found that the governance practices of information technology employees are incipient, but that meet the needs of business and that they intend to implement in specific areas and use other practices of IT governance

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The present paper has the purpose of investigate the dynamics of the volatility structure in the shrimp prices in the Brazilian fish market. Therefore, a description of the initial aspects of the shrimp price series was made. From this information, statistics tests were made and selected univariate models to be price predictors. Then, it was verified the existence of relationship of long-term equilibrium between the Brazilian and American imported shrimp and if, confirmed the relationship, whether or not there is a causal link between these assets, considering that the two countries had presented trade relations over the years. It is presented as an exploratory research of applied nature with quantitative approach. The database was collected through direct contact with the Companhia de Entrepostos e Armazéns Gerais de São Paulo (CEAGESP) and on the official website of American import, National Marine Fisheries Service - National Oceanic and Atmospheric Administration (NMFS- NOAA). The results showed that the great variability in the active price is directly related with the gain and loss of the market agents. The price series presents a strong seasonal and biannual effect. The average structure of price of shrimp in the last 12 years was R$ 11.58 and external factors besides the production and marketing (U.S. antidumping, floods and pathologies) strongly affected the prices. Among the tested models for predicting prices of shrimp, four were selected, which through the prediction methodologies of one step forward of horizon 12, proved to be statistically more robust. It was found that there is weak evidence of long-term equilibrium between the Brazilian and American shrimp, where equivalently, was not found a causal link between them. We concluded that the dynamic pricing of commodity shrimp is strongly influenced by external productive factors and that these phenomena cause seasonal effects in the prices. There is no relationship of long-term stability between the Brazilian and American shrimp prices, but it is known that Brazil imports USA production inputs, which somehow shows some dependence productive. To the market agents, the risk of interferences of the external prices cointegrated to Brazilian is practically inexistent. Through statistical modeling is possible to minimize the risk and uncertainty embedded in the fish market, thus, the sales and marketing strategies for the Brazilian shrimp can be consolidated and widespread

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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The gas retail represents the end of a section of the oil and natural gas derivative chain, for it is at this stage where the commercialization of those merchandises takes place towards the costumers. This process involves an enormous amount of economic agents, which reflects on an activity of great influence on the citizen's everyday. By the time of the gas retail price liberalization, in 2002, there were great expectations towards that measure, for the insertion of that segment in a competitive market was likely to create a decrease in prices. As there was not a drastic drop off in cost, the question was no longer the price itself, but, predominantly, the conduct taken by the economic agents that operate the market. Not in vain, the segment introduces a greater number of different procedures combined with the organs that compose the Brazilian System of Competition Protection. What is understood, however, is that many of these complaints are made in a lightly way, without a proper analysis of the market and its practices, that being why, in this paper, evidences the causes of these complaints and explained what, in fact, occurs in this market. Also, the organs that protect the free initiative in the sector use different methods to assess anticompetitive practices, which are counterproductive on the combat of anticompetitive practice, that being why the present paper analyzes the used methods on a critic perspective, choosing one which is believed to be the most adequate. The present work also tries to present the gas retail prices on a constitutional, free competition, free initiative and consumers defense perspective, analyzing the competition s aspects on the gas market; the shaping of the gas prices; the market boundaries; the anti-competitive practices under the gas market; and analyze the possibility, according to the defined economic standards in the constitutional text of existing a greater control or gas price indexing and/or regulation which limits the distributors and resellers profit on gas. Still, in consequence of this analysis, a study on Natal s market behavior will be developed in its competitive feature. That being said, moreover being a theoretical-descriptive study, data and statistics gathered is used, which will lead, willing to grasp an experiential study on a few aspects of the Potiguar gas retail market

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The objective of this work consists of considering a script so that operating companies in the telecommunications sector, mainly small and medium-sized enterprises, can reach excellency in its operations and get, thus, conditions to compete with companies consolidated in its niche of market. The proposal intends to lead the enterprises to a level of qualification of processes that to become them apt to adopt the Six Sigma method as part of its culture. From the analysis of the essential processes of the sector, methods and tools will be suggested for guarantee the continuous improvement of these processes, without forgetting the internal peculiarities of each company

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Nowadays, telecommunications is one of the most dynamic and strategic areas in the world. Organizations are always seeking to find new management practices within an ever increasing competitive environment where resources are getting scarce. In this scenario, data obtained from business and corporate processes have even greater importance, although this data is not yet adequately explored. Knowledge Discovery in Databases (KDD) appears then, as an option to allow the study of complex problems in different areas of management. This work proposes both a systematization of KDD activities using concepts from different methodologies, such as CRISP-DM, SEMMA and FAYYAD approaches and a study concerning the viability of multivariate regression analysis models to explain corporative telecommunications sales using performance indicators. Thus, statistical methods were outlined to analyze the effects of such indicators on the behavior of business productivity. According to business and standard statistical analysis, equations were defined and fit to their respective determination coefficients. Tests of hypotheses were also conducted on parameters with the purpose of validating the regression models. The results show that there is a relationship between these development indicators and the amount of sales

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This Master s Thesis proposes the application of Data Envelopment Analysis DEA to evaluate economies of scale and economies of scope in the performance of service teams involved with installation of data communication circuits, based on the study of a major telecommunication company in Brazil. Data was collected from the company s Operational Performance Division. Initial analysis of a data set, including nineteen installation teams, was performed considering input oriented methods. Subsequently, the need for restrictions on weights is analyzed using the Assurance Region method, checking for the existence of zero-valued weights. The resulting returns to scale are then verified. Further analyses using the Assurance Region Constant (AR-I-C) and Variable (AR-I-V) models verify the existence of variable, rather than constant, returns to scale. Therefore, all of the final comparisons use scores obtained through the AR-I-V model. In sequence, we verify if the system has economies of scope by analyzing the behavior of the scores in terms of individual or multiple outputs. Finally, conventional results, used by the company in study to evaluate team performance, are compared to those generated using the DEA methodology. The results presented here show that DEA is a useful methodology for assessing team performance and that it may contribute to improvements on the quality of the goal setting procedure.

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This Master s Thesis proposes the application of Data Envelopment Analysis DEA to evaluate the performance of sales teams, based on a study of their coverage areas. Data was collected from the company contracted to distribute the products in the state of Ceará. Analyses of thirteen sales coverage areas were performed considering first the output-oriented constant return to scale method (CCR-O), then this method with assurance region (AR-O-C) and finally the method of variable returns to scale with assurance region (AR-O-V). The method used in the first approach is shown to be inappropriate for this study, since it inconveniently generates zero-valued weights, allowing that an area under evaluation obtain the maximal score by not producing. Using weight restrictions, through the assurance region methods AR-O-C and AR-O-V, decreasing returns to scale are identified, meaning that the improvement in performance is not proportional to the size of the areas being analyzed. Observing data generated by the analysis, a study is carried out, aiming to design improvement goals for the inefficient areas. Complementing this study, GDP data for each area was compared with scores obtained using AR-O-V analysis. The results presented in this work show that DEA is a useful methodology for assessing sales team performance and that it may contribute to improvements on the quality of the management process.

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The competition in the telecommunications industry has grown in Brazil since the privatization, forcing companies that are active in the market to a growing commitment to quality products and services in order to survive. In this context, this work aims to understand the main factors that influence the degree of satisfaction exists in respect of a mobile operator with its corporate customers. The research covered theoretical concepts and analytical models of quality management system and models of indices related to the measurement of customer satisfaction. For the field research was carried out in a practical application of the main approaches based on this thesis by a case study in corporate segment, through a questionnaire applied to 10 consultants and 40 corporate customers of that company. Comparing the results of research with the consultants and corporate clients there is the concern of respondents to the indicators that comprise the constructs of customer satisfaction, commitment calculated, the price index and the handling of complaints, denoting the dissatisfaction of the general assessment for corporate customers with the carrier, against its current expectations. It is concluded that the mobile operator of the telecommunications industry have a big challenge, after ten years of privatization and consequently the period of rapid expansion of customer base and with the depleted, retain corporate customers as highly strategic, thus avoiding that migrate to other companies. We emphasize the need for further research and analysis of different approaches through research and using the same models to specifically evaluate and measure customer satisfaction of mobile enterprise, to adjust the model to the national market. Finally, we suggest the creation of an effective customer loyalty program with a strategy of relationship and specific to the corporate sector of mobile telephony

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This dissertation describes the use of new Technologies of the Areas of Telecommunications, Networks and Industrial Automation for increase of the Operational Safety and obtaining of Operational Improvements in the Platforms Petroliferous Offshore. The presented solution represents the junction of several modules of these areas, making possible the Supervision and Contrai of the Platforms Petroliferous Offshore starting from an Station Onshore, in way similar to a remote contral, by virtue of the visualization possibility and audition of the operational area through cameras and microphones, looking the operator of the system to be "present" in the platform. This way, it diminishes the embarked people's need, increasing the Operational Safety. As consequence, we have the obtaining of Operational Improvements, by virtue of the use of a digital link of large band it releases multi-service. In this link traffic simultaneously digital signs of data (Ethernet Network), telephony (Phone VoIP), image and sound

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This paper presents an evaluative study about the effects of using a machine learning technique on the main features of a self-organizing and multiobjective genetic algorithm (GA). A typical GA can be seen as a search technique which is usually applied in problems involving no polynomial complexity. Originally, these algorithms were designed to create methods that seek acceptable solutions to problems where the global optimum is inaccessible or difficult to obtain. At first, the GAs considered only one evaluation function and a single objective optimization. Today, however, implementations that consider several optimization objectives simultaneously (multiobjective algorithms) are common, besides allowing the change of many components of the algorithm dynamically (self-organizing algorithms). At the same time, they are also common combinations of GAs with machine learning techniques to improve some of its characteristics of performance and use. In this work, a GA with a machine learning technique was analyzed and applied in a antenna design. We used a variant of bicubic interpolation technique, called 2D Spline, as machine learning technique to estimate the behavior of a dynamic fitness function, based on the knowledge obtained from a set of laboratory experiments. This fitness function is also called evaluation function and, it is responsible for determining the fitness degree of a candidate solution (individual), in relation to others in the same population. The algorithm can be applied in many areas, including in the field of telecommunications, as projects of antennas and frequency selective surfaces. In this particular work, the presented algorithm was developed to optimize the design of a microstrip antenna, usually used in wireless communication systems for application in Ultra-Wideband (UWB). The algorithm allowed the optimization of two variables of geometry antenna - the length (Ls) and width (Ws) a slit in the ground plane with respect to three objectives: radiated signal bandwidth, return loss and central frequency deviation. These two dimensions (Ws and Ls) are used as variables in three different interpolation functions, one Spline for each optimization objective, to compose a multiobjective and aggregate fitness function. The final result proposed by the algorithm was compared with the simulation program result and the measured result of a physical prototype of the antenna built in the laboratory. In the present study, the algorithm was analyzed with respect to their success degree in relation to four important characteristics of a self-organizing multiobjective GA: performance, flexibility, scalability and accuracy. At the end of the study, it was observed a time increase in algorithm execution in comparison to a common GA, due to the time required for the machine learning process. On the plus side, we notice a sensitive gain with respect to flexibility and accuracy of results, and a prosperous path that indicates directions to the algorithm to allow the optimization problems with "η" variables

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Este trabalho analisa, de forma empírica, no período 1995-2005, os impactos de variações cambiais sobre os preços de exportação no Brasil, desagregados setorialmente, levando em consideração a inserção externa da economia em um contexto de ampliação da internacionalização e reestruturação produtiva. O cálculo dos coeficientes de pass-through é complementado por um exercício de análise fatorial, com o objetivo de verificar se é possível encontrar padrões setoriais definidos. Os resultados indicam maiores repasses em setores produtores de bens de menor conteúdo tecnológico em que o Brasil possui posição comercial relativamente forte, ao passo que parte dos setores produtores de manufaturados apresenta coeficientes de repasse cambial reduzido.

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A motivação para a realização deste artigo foi a percepção de que o movimento de preços dos imóveis em Natal apresentava componentes que precisavam ser investigados, notadamente o influxo de capital estrangeiro, sobretudo para aplicação nos setores de turismo e imobiliário e o comportamento do crédito imobiliário. O objetivo do trabalho é examinar a evolução dos preços no mercado de imóveis da cidade no período 2005; 2010. Os indicadores levantados permitiram uma coleta de evidências suficiente para ampliar o grau de confiança nas hipóteses de que, de fato: a) ocorreu uma bolha no mercado de imóveis no triênio 2005; 2007; b) a bolha não implodiu no biênio 2009; 2010, após a crise financeira de 2008, pois o movimento de alta de preços se manteve tanto nos imóveis vendidos na planta quanto nos imóveis prontos.