6 resultados para Industrial safety -- Evaluation

em Universidad de Alicante


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Los Sistemas de Información Geográfica nos permiten estudiar la evolución en el tiempo de cualquier fenómeno o hecho físico que se pueda referenciar geográficamente. En el presente trabajo se realiza un estudio, mediante un Sistema de Información Geográfica, del desarrollo industrial de la Ciudad de Alcoy en el P. G. O. U. de 1957. En el tiempo de duración de este plan, que abarca un período de 32 años, con una única revisión en 1982, la ciudad ha sufrido grandes transformaciones económicas, sociales, industriales y urbanísticas. El trabajo pretende, por una parte, elaborar la cartografía de la evolución que ha sufrido la localización de la industria alcoyana y realizar un análisis en el que quede de manifiesto la política industrial llevada a cabo por las Administraciones y las consecuencias que ha tenido para el desarrollo de la ciudad. En segundo lugar, se pretende estudiar las posibilidades de una aplicación GIS como GeoMedia en la realización de dicho estudio, así como analizar el proceso para la realización del trabajo: digitalización de mapas, referenciación geográfica, utilización de mapas digitales, definición de entidades y clases de entidad, bases de datos a utilizar, consultas a realizar etc.

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The thermodynamic consistency of almost 90 VLE data series, including isothermal and isobaric conditions for systems of both total and partial miscibility in the liquid phase, has been examined by means of the area and point-to-point tests. In addition, the Gibbs energy of mixing function calculated from these experimental data has been inspected, with some rather surprising results: certain data sets exhibiting high dispersion or leading to Gibbs energy of mixing curves inconsistent with the total or partial miscibility of the liquid phase, surprisingly, pass the tests. Several possible inconsistencies in the tests themselves or in their application are discussed. Related to this is a very interesting and ambitious initiative that arose within the NIST organization: the development of an algorithm to assess the quality of experimental VLE data. The present paper questions the applicability of two of the five tests that are combined in the algorithm. It further shows that the deviation of the experimental VLE data from the correlation obtained by a given model, the basis of some point-to-point tests, should not be used to evaluate the quality of these data.

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Paper submitted to the XVIII Conference on Design of Circuits and Integrated Systems (DCIS), Ciudad Real, España, 2003.

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Paper submitted to International Workshop on Spectral Methods and Multirate Signal Processing (SMMSP), Barcelona, España, 2003.

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Paper submitted to the IFIP International Conference on Very Large Scale Integration (VLSI-SOC), Darmstadt, Germany, 2003.

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Since the beginning of 3D computer vision problems, the use of techniques to reduce the data to make it treatable preserving the important aspects of the scene has been necessary. Currently, with the new low-cost RGB-D sensors, which provide a stream of color and 3D data of approximately 30 frames per second, this is getting more relevance. Many applications make use of these sensors and need a preprocessing to downsample the data in order to either reduce the processing time or improve the data (e.g., reducing noise or enhancing the important features). In this paper, we present a comparison of different downsampling techniques which are based on different principles. Concretely, five different downsampling methods are included: a bilinear-based method, a normal-based, a color-based, a combination of the normal and color-based samplings, and a growing neural gas (GNG)-based approach. For the comparison, two different models have been used acquired with the Blensor software. Moreover, to evaluate the effect of the downsampling in a real application, a 3D non-rigid registration is performed with the data sampled. From the experimentation we can conclude that depending on the purpose of the application some kernels of the sampling methods can improve drastically the results. Bilinear- and GNG-based methods provide homogeneous point clouds, but color-based and normal-based provide datasets with higher density of points in areas with specific features. In the non-rigid application, if a color-based sampled point cloud is used, it is possible to properly register two datasets for cases where intensity data are relevant in the model and outperform the results if only a homogeneous sampling is used.