4,018 research outputs found

    Real-time moving object segmentation in H.264 compressed domain based on approximate reasoning

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    AbstractThis paper presents a real-time segmentation algorithm to obtain moving objects from the H.264 compressed domain. The proposed segmentation works with very little information and is based on two features of the H.264 compressed video: motion vectors associated to the macroblocks and decision modes. The algorithm uses fuzzy logic and allows to describe position, velocity and size of the detected regions in a comprehensive way, so the proposed approach works with low level information but manages highly comprehensive linguistic concepts. The performance of the algorithm is improved using dynamic design of fuzzy sets that avoids merge and split problems. Experimental results for several traffic scenes demonstrate the real-time performance and the encouraging results in diverse situations

    Temperature Assessment Of Microwave-Enhanced Heating Processes

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    [EN] In this study, real-time and in-situ permittivity measurements under intense microwave electromagnetic fields are proposed as a powerful technique for the study of microwave-enhanced thermal processes in materials. In order to draw reliable conclusions about the temperatures at which transformations occur, we address how to accurately measure the bulk temperature of the samples under microwave irradiation. A new temperature calibration method merging data from four independent techniques is developed to obtain the bulk temperature as a function of the surface temperature in thermal processes under microwave conditions. Additionally, other analysis techniques such as Differential Thermal Analysis (DTA) or Raman spectroscopy are correlated to dielectric permittivity measurements and the temperatures of thermal transitions observed using each technique are compared. Our findings reveal that the combination of all these procedures could help prove the existence of specific non-thermal microwave effects in a scientifically meaningful way.The authors wish to thank the project MAT2017-86450-C4-1-R.García-Baños, B.; Jimenez-Reinosa, J.; Penaranda-Foix, FL.; Fernandez, JF.; Catalá Civera, JM. (2019). Temperature Assessment Of Microwave-Enhanced Heating Processes. Scientific Reports. 9:1-10. https://doi.org/10.1038/s41598-019-47296-0S1109Zhou, J. et al. A new type of power energy for accelerating chemical reactions: the nature of a microwave-driving force for accelerating chemical reactions. Sci. Rep. 6, 25149 (2016).Clark, D. E., Folz, D. C. & West, J. K. Processing materials with microwave energy. Mater. Sci. Eng. A287, 153–158 (2000).Thostenson, E. T. & Chou, T. W. Microwave processing: fundamentals and applications. Composites A30(9), 1055–1071 (1999).Çengel, Y. A. Green thermodynamics. Int. J. Energy Res. 31, 1088–1104 (2007).Adam, D. 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Discussion on microwave-matter interaction mechanisms by in situ observation of “core-shell” microstructure during microwave sintering. Materials. 9, 120 (2016).Reinosa, J. J., García-Baños, B., Catalá-Civera, J. M. & Fernández, J. F. A step ahead on efficient microwave heating for Kaolinite. Appl. Clay Sci. 168, 237–243 (2019).Naito, A., Makino, Y., Tasei, Y. & Kawamura, I. Photoirradiation and microwave irradiation NMR spectroscopy in Experimental Approaches of NMR Spectroscopy (ed. The Nuclear Magnetic Resonance Society of Japan) 135-170 (Springer, 2017).Schmink, J. R. & Leadbeater, N. E. Probing “microwave effects” using Raman spectroscopy. Org Biomol Chem. 7(18), 3842–3846 (2009).Vaucher, S., Catala-Civera, J. M., Sarua, A., Pomeroy, J. & Kuball, M. Phase selectivity of microwave heating evidenced by Raman spectroscopy. J. Appl. Phys. 99, 113505 (2006).Von Hippel, A.R. in Dielectric Materials and Applications. 301–416 (Artech House, 1995)Garcia-Baños, B., Catala-Civera, J. M., Penaranda-Foix, F. L., Plaza-Gonzalez, P. & Llorens-Valles, G. In situ monitoring of microwave processing of materials at high temperatures through dielectric properties measurement. Materials 9, 349 (2016).Cuccurullo, G., Berardi, P. G., Carfagna, R. & Pierro, V. IR temperature measurements in microwave heating. Infrared Phys. Technol. 43, 145–150 (2002).Catala-Civera, J. M. et al. Dynamic measurement of dielectric properties of materials at high temperature during microwave heating in a dual mode cylindrical cavity. IEEE Trans. Microw. Theory Tech. 63, 2905–2914 (2015).Kappe, C. O. How to measure reaction temperature in microwave-heated transformations. Chem. Soc. Rev. 42, 4977–4990 (2013).Gangurde, L. S., Sturm, G. S. J., Devadiga, T. J., Stankiewicz, A. I. & Stefanidis, G. D. Complexity and challenges in noncontact high temperature measurements in microwave-assisted catalytic reactors. Ind. Eng. Chem. Res. 56, 13379–13391 (2017).Ramirez, A., Hueso, J. 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    Human Pleural Fluid Elicits Pyruvate and Phenylalanine Metabolism in Acinetobacter baumannii to Enhance Cytotoxicity and Immune Evasion

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    The CCAAT box-harboring proteins represent a family of heterotrimeric transcription factors which is highly conserved in eukaryotes. In fungi, one of the particularly important homologs of this family is the Hap complex that separates the DNA-binding domain from the activation domain and imposes essential impacts on regulation of a wide range of cellular functions. So far, a comprehensive summary of this complex has been described in filamentous fungi but not in the yeast. In this review, we summarize a number of studies related to the structure and assembly mode of the Hap complex in a list of representative yeasts. Furthermore, we emphasize recent advances in understanding the regulatory functions of this complex, with a special focus on its role in regulating respiration, production of reactive oxygen species (ROS) and iron homeostasis.Fil: Nyah, Rodman. California State University; Estados UnidosFil: Martinez, Jasmine. California State University; Estados UnidosFil: Fung, Sammie. California State University; Estados UnidosFil: Nakanouchi, Jun. California State University; Estados UnidosFil: Myers, Amber L.. California State University; Estados UnidosFil: Harris, Caitlin M.. California State University; Estados UnidosFil: Dang, Emily. California State University; Estados UnidosFil: Fernandez, Jennifer. California State University; Estados UnidosFil: Liu, Christine. California State University; Estados UnidosFil: Mendoza, Anthony M.. California State University; Estados UnidosFil: Jimenez, VerĂłnica. California State University; Estados UnidosFil: Nikolaidis, Nikolas. California State University; Estados UnidosFil: Brennan, Catherine A.. California State University; Estados UnidosFil: Bonomo, Robert A.. Louis Stokes Cleveland Department of Veterans Affairs Medical Cente; Estados Unidos. Center for Antimicrobial Resistance and Epidemiology; Estados Unidos. Case Western Reserve University School of Medicine; Estados UnidosFil: Sieira, Rodrigo. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de Investigaciones BioquĂ­micas de Buenos Aires. FundaciĂłn Instituto Leloir. Instituto de Investigaciones BioquĂ­micas de Buenos Aires; ArgentinaFil: Ramirez, Maria Soledad. California State University; Estados Unido

    Ianus: an Adpative FPGA Computer

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    Dedicated machines designed for specific computational algorithms can outperform conventional computers by several orders of magnitude. In this note we describe {\it Ianus}, a new generation FPGA based machine and its basic features: hardware integration and wide reprogrammability. Our goal is to build a machine that can fully exploit the performance potential of new generation FPGA devices. We also plan a software platform which simplifies its programming, in order to extend its intended range of application to a wide class of interesting and computationally demanding problems. The decision to develop a dedicated processor is a complex one, involving careful assessment of its performance lead, during its expected lifetime, over traditional computers, taking into account their performance increase, as predicted by Moore's law. We discuss this point in detail

    Cosmic Chronometers: Constraining the Equation of State of Dark Energy. I: H(z) Measurements

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    We present new determinations of the cosmic expansion history from red-envelope galaxies. We have obtained for this purpose high-quality spectra with the Keck-LRIS spectrograph of red-envelope galaxies in 24 galaxy clusters in the redshift range 0.2 < z < 1.0. We complement these Keck spectra with high-quality, publicly available archival spectra from the SPICES and VVDS surveys. We improve over our previous expansion history measurements in Simon et al. (2005) by providing two new determinations of the expansion history: H(z) = 97 +- 62 km/sec/Mpc at z = 0.5 and H(z) = 90 +- 40 km/sec/Mpc at z = 0.8. We discuss the uncertainty in the expansion history determination that arises from uncertainties in the synthetic stellar-population models. We then use these new measurements in concert with cosmic-microwave-background (CMB) measurements to constrain cosmological parameters, with a special emphasis on dark-energy parameters and constraints to the curvature. In particular, we demonstrate the usefulness of direct H(z) measurements by constraining the dark- energy equation of state parameterized by w0 and wa and allowing for arbitrary curvature. Further, we also constrain, using only CMB and H(z) data, the number of relativistic degrees of freedom to be 4 +- 0.5 and their total mass to be < 0.2 eV, both at 1-sigma.Comment: Submitted to JCA

    Prospects in Constraining the Dark Energy Potential

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    We generalize to non-flat geometries the formalism of Simon et al. (2005) to reconstruct the dark energy potential. This formalism makes use of quantities similar to the Horizon-flow parameters in inflation, can, in principle, be made non-parametric and is general enough to be applied outside the simple, single scalar field quintessence. Since presently available and forthcoming data do not allow a non-parametric and exact reconstruction of the potential, we consider a general parametric description in term of Chebyshev polynomials. We then consider present and future measurements of H(z), Baryon Acoustic Oscillations surveys and Supernovae type 1A surveys, and investigate their constraints on the dark energy potential. We find that, relaxing the flatness assumption increases the errors on the reconstructed dark energy evolution but does not open up significant degeneracies, provided that a modest prior on geometry is imposed. Direct measurements of H(z), such as those provided by BAO surveys, are crucially important to constrain the evolution of the dark energy potential and the dark energy equation of state, especially for non-trivial deviations from the standard LambdaCDM model.Comment: 22 pages, 7 figures. 2 references correcte
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