975 resultados para Radar da inovação
Resumo:
Estudo sobre a comunicação organizacional e a capacidade de inovar em empresa de pequeno porte. A questão norteadora busca responder se a comunicação organizacional pode fazer avançar e/ou apoiar a inovação em micro e pequenas empresas. O objetivo central é analisar a relação existente entre a inovação e a comunicação organizacional. Aplicou-se o método estudo de caso e a pesquisa documental para interpretação de instrumento diagnóstico denominado “Radar da Inovação” em uma empresa de pequeno porte, localizada no interior de São Paulo. O diagnóstico é realizado com base em dimensões avaliativas que visam verificar a maturidade e o grau de inovação em micro e pequenas empresas. Por meio da avaliação dessas dimensões foi possível construir quadros analíticos e destacar a influência da comunicação organizacional na promoção da inovação. Os resultados apontam que todas as dimensões do “Radar de Inovação” podem melhorar sua performance por meio da comunicação organizacional.
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Esta dissertação teve como objetivo principal analisar como a Estratégia da Inovação poderia ser empregada em benefício da competitividade das organizações hoteleiras, tendo em vista as experiências de inovação dos Hotéis Portas da Amazônia e Faraó. Os Hotéis Portas da Amazônia e Faraó destacam-se pela realização de experiências inovadoras, o primeiro apresenta uma proposta de Hotel Histórico, nasceu a partir da restauração de um casarão do início do século XIX e atende o segmento do Turismo Internacional e o segundo uma proposta de Hotel Temático, sendo entitulado o primeiro hotel temático do norte. O acirramento da concorrência no mercado hoteleiro de Belém-Pará, devido aos novos entrantes (grandes redes hoteleiras) e substitutos como flats, está provocando a redução das margens de lucro ademais está obrigando os gestores das empresas de micro e pequeno porte a repensarem suas estratégias de competição. Sendo que a inovação é uma estratégia que pode contribuir para criação e sustentação da vantagem competitiva. A metodologia adotada nesta investigação foi inicialmente o levantamento bibliográfico. Além disso, foram aplicadas entrevistas semi-estruturadas para os gestores dos hotéis. A entrevista baseou-se no Radar da Inovação para a classificação das Estratégias de Inovação. A investigação revelou que o empresário do Hotel Portas da Amazônia realizou uma inovação em modelo de negócios e inovação em descoberta de um novo mercado. Porém, no Hotel Faraó, identificou-se apenas um caso de inovação incremental em suas instalações como na decoração do prédio, pois para a proposta de um hotel temático, a gestão precisaria explorar a experiência do cliente. Nos dois casos, constatou-se que várias dimensões da inovação são negligenciadas como ofertas, experiências do consumidor e a inovação na organização.
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Public investments in the development of innovation in the country, either through the rigging of public universities, either through public announcements of the promotion, increased dramatically in recent years. To analyze the efficiency and effectiveness of the use of public resources is especially in times of austerity, essential for the development of a country. In this context, this research aims to identify the influence of public investments to promote innovation in the degree of maturity of innovative companies in the state of the RN. Another goal is to identify the regional influence from the installation site - capital or countryside, in the performance of the companies studied in the degree of innovation. The theoretical basis of the understanding of the scope of the concept of innovation and its determination for the purposes of this study. Typology, degree of innovation, evaluation methodologies and mechanisms to support innovation : Still on the theme of innovation additional concepts that help the reader to a greater understanding, such as are presented. Following is approached conceptualization of the triple helix, highlighting the concepts advocated by Etzkowitz and Leydesdorff, Salomon and Silva and Ipiranga, Freitas and Paiva, among others. With regard to methodological aspects, we propose a descriptive, exploratory and explanatory research quantitative and qualitative approach with the target audience group of companies served by INOVA PRO- NAGI design - multi-institutional action from a public resource called FINEP promotes the development of innovative companies in the State of Rio Grande do Norte - in 2013. The research should provide reflection and understanding of the influence of public investment in innovation, which by means of qualitative predictive variables associated with quantitative method to explain which variables are significant variations in the degree of maturity of enterprises studied
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Diffraction tomographic imaging is applied to the imaging of shallowly buried targets with multi-bistatic arrays of transmitters and receivers.
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A parametric study was carried out to investigate the effects on reconstructed images from a ground penetrating radar (GPR) due to (a) the centre frequency of the GPR excitation pulse, (b) the height of transmitting and receiving antennas above ground level, and (c) the proximity of the buried objects. An integrated software package was developed to streamline the computer simulation based on synthetic data generated by GPRMax.
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The concept of radar was developed for the estimation of the distance (range) and velocity of a target from a receiver. The distance measurement is obtained by measuring the time taken for the transmitted signal to propagate to the target and return to the receiver. The target's velocity is determined by measuring the Doppler induced frequency shift of the returned signal caused by the rate of change of the time- delay from the target. As researchers further developed conventional radar systems it become apparent that additional information was contained in the backscattered signal and that this information could in fact be used to describe the shape of the target itself. It is due to the fact that a target can be considered to be a collection of individual point scatterers, each of which has its own velocity and time- delay. DelayDoppler parameter estimation of each of these point scatterers thus corresponds to a mapping of the target's range and cross range, thus producing an image of the target. Much research has been done in this area since the early radar imaging work of the 1960s. At present there are two main categories into which radar imaging falls. The first of these is related to the case where the backscattered signal is considered to be deterministic. The second is related to the case where the backscattered signal is of a stochastic nature. In both cases the information which describes the target's scattering function is extracted by the use of the ambiguity function, a function which correlates the backscattered signal in time and frequency with the transmitted signal. In practical situations, it is often necessary to have the transmitter and the receiver of the radar system sited at different locations. The problem in these situations is 'that a reference signal must then be present in order to calculate the ambiguity function. This causes an additional problem in that detailed phase information about the transmitted signal is then required at the receiver. It is this latter problem which has led to the investigation of radar imaging using time- frequency distributions. As will be shown in this thesis, the phase information about the transmitted signal can be extracted from the backscattered signal using time- frequency distributions. The principle aim of this thesis was in the development, and subsequent discussion into the theory of radar imaging, using time- frequency distributions. Consideration is first given to the case where the target is diffuse, ie. where the backscattered signal has temporal stationarity and a spatially white power spectral density. The complementary situation is also investigated, ie. where the target is no longer diffuse, but some degree of correlation exists between the time- frequency points. Computer simulations are presented to demonstrate the concepts and theories developed in the thesis. For the proposed radar system to be practically realisable, both the time- frequency distributions and the associated algorithms developed must be able to be implemented in a timely manner. For this reason an optical architecture is proposed. This architecture is specifically designed to obtain the required time and frequency resolution when using laser radar imaging. The complex light amplitude distributions produced by this architecture have been computer simulated using an optical compiler.
Resumo:
This work considers the problem of building high-fidelity 3D representations of the environment from sensor data acquired by mobile robots. Multi-sensor data fusion allows for more complete and accurate representations, and for more reliable perception, especially when different sensing modalities are used. In this paper, we propose a thorough experimental analysis of the performance of 3D surface reconstruction from laser and mm-wave radar data using Gaussian Process Implicit Surfaces (GPIS), in a realistic field robotics scenario. We first analyse the performance of GPIS using raw laser data alone and raw radar data alone, respectively, with different choices of covariance matrices and different resolutions of the input data. We then evaluate and compare the performance of two different GPIS fusion approaches. The first, state-of-the-art approach directly fuses raw data from laser and radar. The alternative approach proposed in this paper first computes an initial estimate of the surface from each single source of data, and then fuses these two estimates. We show that this method outperforms the state of the art, especially in situations where the sensors react differently to the targets they perceive.
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This paper presents an approach to promote the integrity of perception systems for outdoor unmanned ground vehicles (UGV) operating in challenging environmental conditions (presence of dust or smoke). The proposed technique automatically evaluates the consistency of the data provided by two sensing modalities: a 2D laser range finder and a millimetre-wave radar, allowing for perceptual failure mitigation. Experimental results, obtained with a UGV operating in rural environments, and an error analysis validate the approach.
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Operating in vegetated environments is a major challenge for autonomous robots. Obstacle detection based only on geometric features causes the robot to consider foliage, for example, small grass tussocks that could be easily driven through, as obstacles. Classifying vegetation does not solve this problem since there might be an obstacle hidden behind the vegetation. In addition, dense vegetation typically needs to be considered as an obstacle. This paper addresses this problem by augmenting probabilistic traversability map constructed from laser data with ultra-wideband radar measurements. An adaptive detection threshold and a probabilistic sensor model are developed to convert the radar data to occupancy probabilities. The resulting map captures the fine resolution of the laser map but clears areas from the traversability map that are induced by obstacle-free foliage. Experimental results validate that this method is able to improve the accuracy of traversability maps in vegetated environments.
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Large concentrations of magnetite in sedimentary deposits and soils with igneous parent material have been reported to affect geophysical sensor performance. We have undertaken the first systematic experimental effort to understand the effects of magnetite for ground-penetrating radar (GPR) characterization of the shallow subsurface. Laboratory experiments were conducted to study how homogeneous magnetite-sand mixtures and magnetite concentrated in layers affect the propagation behavior (velocity, attenuation) of high-frequency GPR waves and the reflection characteristics of a buried target. Important observations were that magnetite had a strong effect on signal velocity and reflection, at magnitudes comparable to what has been observed in small-scale laboratory experiments that measured electromagnetic properties of magnetite-silica mixtures. Magnetite also altered signal attenuation and affected the reflection characteristics of buried targets. Our results indicated important implications for several fields, including land mine detection, Martian exploration, engineering, and moisture mapping using satellite remote sensing and radiometers.
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This paper presents an approach to mobile robot localization, place recognition and loop closure using a monostatic ultra-wide band (UWB) radar system. The UWB radar is a time-of-flight based range measurement sensor that transmits short pulses and receives reflected waves from objects in the environment. The main idea of the poposed localization method is to treat the received waveform as a signature of place. The resulting echo waveform is very complex and highly depends on the position of the sensor with respect to surrounding objects. On the other hand, the sensor receives similar waveforms from the same positions.Moreover, the directional characteristics of dipole antenna is almost omnidirectional. Therefore, we can localize the sensor position to find similar waveform from waveform database. This paper proposes a place recognitionmethod based on waveform matching, presents a number of experiments that illustrate the high positon estimation accuracy of our UWB radar-based localization system, and shows the resulting loop detection performance in a typical indoor office environment and a forest.