931 resultados para superior performance
Resumo:
The thesis aims to elaborate on the optimum trigger speed for Vehicle Activated Signs (VAS) and to study the effectiveness of VAS trigger speed on drivers’ behaviour. Vehicle activated signs (VAS) are speed warning signs that are activated by individual vehicle when the driver exceeds a speed threshold. The threshold, which triggers the VAS, is commonly based on a driver speed, and accordingly, is called a trigger speed. At present, the trigger speed activating the VAS is usually set to a constant value and does not consider the fact that an optimal trigger speed might exist. The optimal trigger speed significantly impacts driver behaviour. In order to be able to fulfil the aims of this thesis, systematic vehicle speed data were collected from field experiments that utilized Doppler radar. Further calibration methods for the radar used in the experiment have been developed and evaluated to provide accurate data for the experiment. The calibration method was bidirectional; consisting of data cleaning and data reconstruction. The data cleaning calibration had a superior performance than the calibration based on the reconstructed data. To study the effectiveness of trigger speed on driver behaviour, the collected data were analysed by both descriptive and inferential statistics. Both descriptive and inferential statistics showed that the change in trigger speed had an effect on vehicle mean speed and on vehicle standard deviation of the mean speed. When the trigger speed was set near the speed limit, the standard deviation was high. Therefore, the choice of trigger speed cannot be based solely on the speed limit at the proposed VAS location. The optimal trigger speeds for VAS were not considered in previous studies. As well, the relationship between the trigger value and its consequences under different conditions were not clearly stated. The finding from this thesis is that the optimal trigger speed should be primarily based on lowering the standard deviation rather than lowering the mean speed of vehicles. Furthermore, the optimal trigger speed should be set near the 85th percentile speed, with the goal of lowering the standard deviation.
Resumo:
The accurate measurement of a vehicle’s velocity is an essential feature in adaptive vehicle activated sign systems. Since the velocities of the vehicles are acquired from a continuous wave Doppler radar, the data collection becomes challenging. Data accuracy is sensitive to the calibration of the radar on the road. However, clear methodologies for in-field calibration have not been carefully established. The signs are often installed by subjective judgment which results in measurement errors. This paper develops a calibration method based on mining the data collected and matching individual vehicles travelling between two radars. The data was cleaned and prepared in two ways: cleaning and reconstructing. The results showed that the proposed correction factor derived from the cleaned data corresponded well with the experimental factor done on site. In addition, this proposed factor showed superior performance to the one derived from the reconstructed data.
Resumo:
Evidências de incompatibilidades entre a dinâmica do mercado de ações e os conceitos descritos pelos modelos de racionalidade plena têm estimulado o desenvolvimento de estudos a cerca do comportamento dos agentes econômicos, como forma de entender algumas anomalias presentes no processo de formação de preço dos ativos, dando origem aos estudos na área de Finanças Comportamentais. Este trabalho refere-se ao estudo de estratégias baseadas em Finanças Comportamentais aplicadas ao mercado de ações brasileiro.
Resumo:
Using vector autoregressive (VAR) models and Monte-Carlo simulation methods we investigate the potential gains for forecasting accuracy and estimation uncertainty of two commonly used restrictions arising from economic relationships. The Örst reduces parameter space by imposing long-term restrictions on the behavior of economic variables as discussed by the literature on cointegration, and the second reduces parameter space by imposing short-term restrictions as discussed by the literature on serial-correlation common features (SCCF). Our simulations cover three important issues on model building, estimation, and forecasting. First, we examine the performance of standard and modiÖed information criteria in choosing lag length for cointegrated VARs with SCCF restrictions. Second, we provide a comparison of forecasting accuracy of Ötted VARs when only cointegration restrictions are imposed and when cointegration and SCCF restrictions are jointly imposed. Third, we propose a new estimation algorithm where short- and long-term restrictions interact to estimate the cointegrating and the cofeature spaces respectively. We have three basic results. First, ignoring SCCF restrictions has a high cost in terms of model selection, because standard information criteria chooses too frequently inconsistent models, with too small a lag length. Criteria selecting lag and rank simultaneously have a superior performance in this case. Second, this translates into a superior forecasting performance of the restricted VECM over the VECM, with important improvements in forecasting accuracy ñreaching more than 100% in extreme cases. Third, the new algorithm proposed here fares very well in terms of parameter estimation, even when we consider the estimation of long-term parameters, opening up the discussion of joint estimation of short- and long-term parameters in VAR models.
Resumo:
Parametric term structure models have been successfully applied to innumerous problems in fixed income markets, including pricing, hedging, managing risk, as well as studying monetary policy implications. On their turn, dynamic term structure models, equipped with stronger economic structure, have been mainly adopted to price derivatives and explain empirical stylized facts. In this paper, we combine flavors of those two classes of models to test if no-arbitrage affects forecasting. We construct cross section (allowing arbitrages) and arbitrage-free versions of a parametric polynomial model to analyze how well they predict out-of-sample interest rates. Based on U.S. Treasury yield data, we find that no-arbitrage restrictions significantly improve forecasts. Arbitrage-free versions achieve overall smaller biases and Root Mean Square Errors for most maturities and forecasting horizons. Furthermore, a decomposition of forecasts into forward-rates and holding return premia indicates that the superior performance of no-arbitrage versions is due to a better identification of bond risk premium.
Resumo:
O presente trabalho é produto de uma pesquisa bibliográfica e de campo sobre o sentido da evolução da Teoria das Organizações e o seu impacto nas atividades de treinamento e educação na Eletrobrás. A avaliação dos resultados dos programas de desenvolvimento de Recursos Humanos carece de maior precisão, pela sua própria natureza qualitativa. Paradoxalmente, as ações administrativas, que geram resultados de difícil mensuração, são colocadas em segundo plano, em detrimento das que provocam resultados quantificáveis e de curto prazo. Tal miopia revela o caráter pragmático adotado em muitos modelos de gestão, não promovendo a qualidade. A avaliação do desempenho organizacional é assunto central a ser discutido nessa dissertação, e torna-se mais complexa quando verificamos a existência de suas diferentes dimensões: a eficiência, eficácia e efetividade e a relevância do humano. A evolução dos estudos em administração demonstrou um sentido que vai desde os modelos de maior grau de burocratização e instrumentalização do homem na organização, até a mais satisfatória humanização, emancipação e autonomia no trabalho. Assim, os programas de treinamento e desenvolvimento podem dar uma grande contribuição neste sentido, deslocando o desempenho organizacional, de uma ênfase na eficiência, para as dimensões mais abrangentes da efetividade e relevância do humano. Quando tal desenvolvimento ocorrer, não haverá mais ¿recurso¿ humano , pois o mesmo se apresentará em aberto, diferente de outros recursos organizacionais.
Resumo:
Nowadays, management of Intellectual Capital seems to be one of the most efficacious alternatives so that companies may permanently develop competitive differentials to enable their survival in a market that confers paradigma status to globalization. Managers are searching for solutions aiming to attract and maintain in their boards professionals that might be able to develop these competitive differentials and assure to their companies the expected results and the business growth. In this environment, the manager¿s functions appears as a strategic function towards the organization¿s routine and yet suggests an evaluation about the professionals performance concerning challenges (efforts) that market requires. The amount of scientific knowledge which these professionals detain about power should be measured as well as the thought that this can improve their performance regarding their capacity to convince (induce) people. This research concerns those that look for empirical evidences and scientific arguments to confirm the supposition that power knowledge may in fact provide a superior performance of those professionals that are in charge of management functions. The reason and results here presented allow to: reevaluate managers duties in private organizations, improve executive training programs so as to be more productive and appropriated, change the selection methods used to recognize such executives and finally suggest a reevaluation about the real adequation of graduation and master degree courses in regards to professionals graduation which are capable to ingress in business market and take over leadership positions.
Resumo:
This research evaluated the quality of the management of Brazilian stock funds on the period from January 1997 to October 2006. The analysis was based on the Modern Portfolio Theory measures of performance. In addition, this research evaluated the relevance of the performance measures The sample with 21 funds was extracted from the 126 largest Brasilian stock options funds because they were the only with quotas on the whole period. The monthly mean rate of return and the following indexes were calculated: total return, mean monthly return, Jensen Index, Treynor Index, Sharpe Index, Sortino Index, Market Timing and the Mean Quadratic Error. The initial analysis showed that the funds in the sample had different objectives and limitations. To make valuable comparisons, the ANBID (National Association of Investment Banks) categories were used to classify the funds. The measured results were ranked. The positions of the funds on the rankings based on the mean monthly return and the indexes of Jensen, Treynor, Sortino and Sharpe were similar. All of the ten ACTIVE funds of this research were above the benchmark (IBOVESPA index) in the measures above. Based on the CAPM, the managers of these funds got superior performance because they might have compiled the available information in a superior way. The six funds belonging to the ANBID classification of INDEXED got the first six positions in the ranking based on the Mean Quadratic Error. None of the researched funds have shown market timing skills to move the beta of their portfolios in the right direction to take the benefit of the market movements, at the significance level of 5%.
Resumo:
Há mais de uma década, o Value-at-Risk (VaR) é utilizado por instituições financeiras e corporações não financeiras para controlar o risco de mercado de carteiras de investimentos. O fato dos métodos paramétricos assumirem a hipótese de normalidade da distribuição de retornos dos fatores de risco de mercado, leva alguns gestores de risco a utilizar métodos por simulação histórica para calcular o VaR das carteiras. A principal crítica à simulação histórica tradicional é, no entanto, dar o mesmo peso na distribuição à todos os retornos encontrados no período. Este trabalho testa o modelo de simulação histórica com atualização de volatilidade proposto por Hull e White (1998) com dados do mercado brasileiro de ações e compara seu desempenho com o modelo tradicional. Os resultados mostraram um desempenho superior do modelo de Hull e White na previsão de perdas para as carteiras e na sua velocidade de adaptação à períodos de ruptura da volatilidade do mercado.
Resumo:
Buscar desempenho superior do capital humano é fator chave para as organizações exercerem maior competitividade e atingir níveis superiores ao da concorrência. Para este intento, conquistar o maior comprometimento dos trabalhadores é fundamental para aumentar o desempenho individual e, se destaca como a principal via para construção de vantagem competitiva duradoura nas organizações onde, ao líder, é delegado o papel de motivador. Estudos recentes desvendam uma nova abordagem para compreender o impacto da liderança sobre os subordinados. A autenticidade. O líder autêntico tem por mérito gerar auto-eficiência em seus liderados, é através do respeito com que trata seus subordinados, demonstra elevada consistência em seus atos, avalia os pontos de vista de seus comandados, provê retorno sobre desempenho e possue valores que o levam a ser justo, tendo ainda, a capacidade de extrair de seus liderados esforço adicional. Portanto, quanto mais “autêntica como pessoa”, mais poderá impactar diretamente na eficácia de seus seguidores. Mas, este estudo revelou que há um componente de mediação entre o líder autêntico e o maior comprometimento organizacional. O contrato psicológico. Em sua dimensão relacional, principalmente, que trata de lealdade e estabilidade, o contrato psicológico se destacou por mediar a relação entre a autenticidade do líder e o maior comprometimento da equipe, ou seja, a autenticidade do líder molda a forma como o indivíduo se vincula à organização, sendo assim uma descoberta relevante a qual nos auxilia a compreender quais são os verdadeiros fatores que influenciam no maior comprometimento e, conseqüente, aumento no desempenho dos trabalhadores.
Resumo:
In recent years, emerging countries have assumed an increasingly prominent position in the world economy, as growth has picked up in these countries and slowed in developed economies. Two related phenomena, among others, can be associated with this growth: emerging countries were less affected by the 2008-2009 global economic recession; and they increased their participation in foreign direct investment, both inflows and outflows. This doctoral dissertation contributes to research on firms from emerging countries through four independent papers. The first group of two papers examines firm strategy in recessionary moments and uses Brazil, one of the largest emerging countries, as setting for the investigation. Data were collected through a survey on Brazilian firms referring to the 2008-2009 global recession, and 17 hypotheses were tested using structural equation modeling based on partial least squares. Paper 1 offered an integrative model linking RBV to literatures on entrepreneurship, improvisation, and flexibility to indicate the characteristics and capabilities that allow a firm to have superior performance in recessions. We found that firms that pre-recession have a propensity to recognize opportunities and improvisation capabilities for fast and creative actions have superior performance in recessions. We also found that entrepreneurial orientation and flexibility have indirect effects. Paper 2 built on business cycle literature to study which strategies - pro-cyclical or counter-cyclical – enable superior performance in recessions. We found that while most firms pro-cyclically reduce costs and investments during recessions, a counter-cyclical strategy of investing in opportunities created by changes in the environment enables superior performance. Most successful are firms with a propensity to recognize opportunities, entrepreneurial orientation to invest, and flexibility to efficiently implement these investments. The second group of two papers investigated international expansion of multinational enterprises, particularly the use of distance for their location decisions. Paper 3 proposed a conceptual framework to examine circumstances under which distance is less important for international location decisions, taking the new perspective of economic institutional distance as theoretical foundation. The framework indicated that the general preference for low-distance countries is lower: (1) when the company is state owned, rather than private owned; (2) when its internationalization motives are asset, resource, or efficiency seeking, as opposed to market seeking; and (3) when internationalization occurred after globalization and the advent of new technologies. Paper 4 compared five concurrent perspectives of distance and indicated their suitability to the study of various issues based on industry, ownership, and type, motive, and timing of internationalization. The paper also proposed that distance represents the disadvantages of host countries for international location decisions; as such, it should be used in conjunction with factors that represent host country attractiveness, or advantages as international locations. In conjunction, papers 3 and 4 provided additional, alternative explanations for the mixed empirical results of current research on distance. Moreover, the studies shed light into the discussion of differences between multinational enterprises from emerging countries versus those from advanced countries.
Resumo:
O Cross-border reverse takeover, conduzido pelas multinacionais brasileiras, gerou desempenho superior? Cross-border reverse takeover tem sido a expressão usada para designar a aquisição de empresas em países desenvolvidos por empresas de países em desenvolvimento. Essas aquisições, reversas porque invertem o fluxo tradicional dos investimentos internacionais, respondem atualmente por parcela significativa desses investimentos e colocam em cheque a forma tradicional de pensar os negócios internacionais. Meu argumento é que as empresas que fizeram aquisições em países desenvolvidos passam a ter acesso aos recursos não disponíveis no país de origem, tais como novas tecnologias, técnicas de gestão mais avançadas, mercado de capitais mais desenvolvidos, recursos financeiros de baixo custo, entre outros. Por outro lado, elas já desenvolveram competências para gerir esses recursos e passam a ter vantagem competitiva sobre os competidores locais, levando ao desempenho superior. No entanto, partindo dos dados da base de dados Thomson ONE, que registra todas as fusões e aquisições anunciadas, oncluídas ou não, e empregando as metodologias de estudos de evento e de regressões multivariadas, com base em dados contábeis sobre uma amostra de empresas brasileiras listadas em bolsa de valores, esta tese demonstra que estatisticamente não é possível afirmar que essas empresas obtiveram desempenho superior.
Resumo:
In this thesis, a frequency selective surface (FSS) consists of a two-dimensional periodic structure mounted on a dielectric substrate, which is capable of selecting signals in one or more frequency bands of interest. In search of better performance, more compact dimensions, low cost manufacturing, among other characteristics, these periodic structures have been continually optimized over time. Due to its spectral characteristics, which are similar to band-stop or band-pass filters, the FSSs have been studied and used in several applications for more than four decades. The design of an FSS with a periodic structure composed by pre-fractal elements facilitates the tuning of these spatial filters and the adjustment of its electromagnetic parameters, enabling a compact design which generally has a stable frequency response and superior performance relative to its euclidean counterpart. The unique properties of geometric fractals have shown to be useful, mainly in the production of antennas and frequency selective surfaces, enabling innovative solutions and commercial applications in microwave range. In recent applications, the FSSs modify the indoor propagation environments (emerging concept called wireless building ). In this context, the use of pre-fractal elements has also shown promising results, allowing a more effective filtering of more than one frequency band with a single-layer structure. This thesis approaches the design of FSSs using pre-fractal elements based on Vicsek, Peano and teragons geometries, which act as band-stop spatial filters. The transmission properties of the periodic surfaces are analyzed to design compact and efficient devices with stable frequency responses, applicable to microwave frequency range and suitable for use in indoor communications. The results are discussed in terms of the electromagnetic effect resulting from the variation of parameters such as: fractal iteration number (or fractal level), scale factor, fractal dimension and periodicity of FSS, according the pre-fractal element applied on the surface. The analysis of the fractal dimension s influence on the resonant properties of a FSS is a new contribution in relation to researches about microwave devices that use fractal geometry. Due to its own characteristics and the geometric shape of the Peano pre-fractal elements, the reconfiguration possibility of these structures is also investigated and discussed. This thesis also approaches, the construction of efficient selective filters with new configurations of teragons pre-fractal patches, proposed to control the WLAN coverage in indoor environments by rejecting the signals in the bands of 2.4~2.5 GHz (IEEE 802.11 b) and 5.0~6.0 GHz (IEEE 802.11a). The FSSs are initially analyzed through simulations performed by commercial software s: Ansoft DesignerTM and HFSSTM. The fractal design methodology is validated by experimental characterization of the built prototypes, using alternatively, different measurement setups, with commercial horn antennas and microstrip monopoles fabricated for low cost measurements
Resumo:
The monitoring of patients performed in hospitals is usually done either in a manual or semiautomated way, where the members of the healthcare team must constantly visit the patients to ascertain the health condition in which they are. The adoption of this procedure, however, compromises the quality of the monitoring conducted since the shortage of physical and human resources in hospitals tends to overwhelm members of the healthcare team, preventing them from moving to patients with adequate frequency. Given this, many existing works in the literature specify alternatives aimed at improving this monitoring through the use of wireless networks. In these works, the network is only intended for data traffic generated by medical sensors and there is no possibility of it being allocated for the transmission of data from applications present in existing user stations in the hospital. However, in the case of hospital automation environments, this aspect is a negative point, considering that the data generated in such applications can be directly related to the patient monitoring conducted. Thus, this thesis defines Wi-Bio as a communication protocol aimed at the establishment of IEEE 802.11 networks for patient monitoring, capable of enabling the harmonious coexistence among the traffic generated by medical sensors and user stations. The formal specification and verification of Wi-Bio were made through the design and analysis of Petri net models. Its validation was performed through simulations with the Network Simulator 2 (NS2) tool. The simulations of NS2 were designed to portray a real patient monitoring environment corresponding to a floor of the nursing wards sector of the University Hospital Onofre Lopes (HUOL), located at Natal, Rio Grande do Norte. Moreover, in order to verify the feasibility of Wi-Bio in terms of wireless networks standards prevailing in the market, the testing scenario was also simulated under a perspective in which the network elements used the HCCA access mechanism described in the IEEE 802.11e amendment. The results confirmed the validity of the designed Petri nets and showed that Wi-Bio, in addition to presenting a superior performance compared to HCCA on most items analyzed, was also able to promote efficient integration between the data generated by medical sensors and user applications on the same wireless network
Resumo:
The present work shows the development and construction of a robot manipulator with two rotary joints and two degrees of freedom, driven by three-phase induction motors. The positions of the arm and base are made, for comparison, by a fuzzy controller and a PID controller implemented in LabVIEW® programming environment. The robot manipulator moves in an area equivalent to a quarter of a sphere. Experimental results have shown that the fuzzy controller has superior performance to PID controller when tracking single and multiple step trajectories, for the cases of load and no load