1,720,973 research outputs found

    Novel Speed-Bump Design and Optimization for Energy Harvesting From Traffic

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    In recent years, the increase in computational capability and development of innovative multiphysic techniques has determined a growing interest toward modeling and optimization in engineering system design for green energy applications. In this field, advanced soft computing techniques can be applied by engineers to several problems and to be used in an optimization process to find out the best design and, thus, to improve the system performance. These techniques also promise to give new impulse to research on renewable systems and, particularly in the last five years, on the so-called energy-harvesting devices (EHDs). This paper presents the optimization of a tubular permanent-magnet linear generator used for applications of energy harvesting from traffic. The optimization process is developed by means of hybrid evolutionary algorithms to reach the best overall system efficiency and the impact on the environment and transportation systems. Finally, an experimental validation of the designed EHD prototype is presented

    Shape analysis and efficiency of arrays of microstrip patch antennas for wireless sensor networks

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    With the advancement of wireless communication systems, low cost, minimal weight, compact and low profile antennas are in great demand for both commercial and military applications. Furthermore, as the size of wireless hand-held devices shrinks, it is desirable to integrate the antenna directly on the chip package to cut down cost and provide flexible integration. Conformal low-profile antennas, such as printed dipoles, rectangular patches and slots, are widely used in large arrays on ground based, vehicular, air-borne and shipboard applications. Microstrip patches are usually used as radiating elements also in arrays and planar reflector antennas. These traditional resonant structures are typically half a wavelength in the critical dimensions and have relatively narrow bandwidth. In order to overcome these limitations, circular and annular shaped microstrip elements can be used, where the resonant dimension is related to half the circumference. This leads to a more compact solution, since for the same frequency the size of the patch is smaller. Another advantage of this solution is the possibility of working with double polarization. This paper investigates the performances of microstrip elements with circular annular shapes and suitable additional geometrical features, such as slots, to control the resonance behavior. Especially, a study of efficiency of the antenna has been done. The idea is to use a ring of EBG (electromagnetic band gap) material in order to reduce the surface wave and therefore to increase the antenna efficiency in terms of both received and radiated power by the whole antenna. The analysis process is done in three steps. First, we characterized the patch in term of an equivalent circuit model. Then we investigated the mutual coupling of an array of patches. Finally we developed a suitable EBG ring in order to increase the efficiency of the antenna. The last operation is important for the optimization and design process

    Novel modeling design of three phase tubular permanent magnet linear generator for marine applications

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    In recent years linear generators have been proposed in several marine applications as a well-suited technology for power generation such as power buoys. Those kinds of buoys could be used as large-scale devices in power plants and as small-size devices in electronic supply as well. In this work a three phase tubular permanent magnet linear generator is analyzed to supply electronic devices such as sensorial buoys with energy scavenging. A soft-computing algorithm based on a finite element method has been developed and a parametric approach is presented in order to provide a first optimization for electronic applications. Numerical results have been reported and discussed in detail

    An innovative device for Energy Harvesting in smart cities

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    Recently the technology development and increasing amounts of investment in renewables has determined a growing interest towards design and optimization of green energy systems. In this context, advanced Computational Intelligence (CI) techniques can be applied by engineers to several technical problems in order to find out the best structure and to improve efficiency in energy recovery. This research promise to give new impulse to using innovative unconventional renewable sources and to develop the so called Energy Harvesting Devices (EHDs). In this paper the optimization of an innovative device for traffic energy harvesting applications is presented. The optimization process is developed by means of evolutionary algorithms to reach the best efficiency and reduce the overall impact on the environment. Finally, an implemented experiment of the designed EHD prototype is presented

    An Evolutionary Optimized Device for Energy Harvesting from Traffic

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    In recent years the increase of the computational capability and the development of innovative multi-physics techniques has determined a growing interest towards modeling and optimization in engineering system design and green energy applications. In this context, advanced soft computing techniques can be applied by engineers to several problems and used within optimization process, in order to find out the best design and to improve the system performance. These techniques promise also to give new impulse to research on renewable systems and, especially in the last five year, on the so called Energy Harvesting Devices (EHDs). In this paper the optimization of a Tubular Permanent Magnet-Linear Generator for energy harvesting from traffic applications is presented. The optimization process is developed by means of hybrid evolutionary algorithms to reach the best overall system efficiency and the impact on the environment. finally, an experimental validation of the designed EHD prototype is presented

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Novel Speed Bumps Design and Optimization for Vehicles' Energy Recovery in Smart Cities 

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    Recently the technology development and increasing amounts of investment in renewables has led to a growing interest towards design and optimization of green energy systems. In this context, advanced Computational Intelligence (CI) techniques can be applied by engineers to several technical problems in order to find out the best structure and to improve efficiency in energy recovery. This research promises to give new impulse to using innovative unconventional renewable sources and to develop the so-called Energy Harvesting Devices (EHDs). In this paper, the optimization of a Tubular Permanent Magnet-Linear Generator for energy harvesting from vehicles to grid is presented. The optimization process is developed by means of hybrid evolutionary algorithms to reach the best overall system efficiency and the impact on the environment and transportation systems. Finally, an experimental validation of the designed EHD prototype is presented.&#160
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