Regarding the comparison between the computed simulation of sunspaces solar gain computation, this work represents a contribution to several studies that have been made in the last years [M. Wall, Distribution of sola...
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Regarding the comparison between the computed simulation of sunspaces solar gain computation, this work represents a contribution to several studies that have been made in the last years [M. Wall, Distribution of solar radiation in glazed spaces and adjacent buildings. A comparison of simulation program, Energy and Buildings 26 (1997) 129-135;M. Wall, A design tool for glazed space: Part I. Description, ASHRAE Trans. 101 (1995) 1261;B. Fredlund, A design tool for glazed space: Part II. Examples, ASHRAE Trans. 101 (1995) 1272]. In particular, utilizing a calculation program carried out just for Mediterranean bioclimating buildings (Method 5000) and the calculation procedures of the Italian Norm (Method Law 10/91), some analysis have been made. The results have been shown that for the solar gain, the Method 5000 is precise and it has been shown that as the thermal inertia of the buildings increases, the results of the two methods are similar. From the results, it is also possible to confirm that in the Mediterranean climates, the energetic requirement in well insulated buildings can be reduced in half by utilizing passive solar systems. (C) 2000 Elsevier Science S.A. All rights reserved.
The chromatographic behavior of some flavonoids was established by RP-HPLC on RP-18 (LiChroCART, LiChrosphere RP-18e), RP-8 (Zorbax, Eclipse XDB-C8), CN (Saulen-technik, LiChrosphere CN100) columns. The mobile phases ...
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The chromatographic behavior of some flavonoids was established by RP-HPLC on RP-18 (LiChroCART, LiChrosphere RP-18e), RP-8 (Zorbax, Eclipse XDB-C8), CN (Saulen-technik, LiChrosphere CN100) columns. The mobile phases were mixtures of methanol-water in different volume proportions from 70 to 80% v/v for RP-18 and RP-8, while for the CN column the proportions were between 66 and 70% v/v. The lipophilicity was expressed through different lipophilicity descriptors such as mean of k (mk), mean of log k (mlog k), log k(w), S, f(0), and scores of k and log k corresponding to the first principal component. The experimental lipophilicity indices are directly correlated with the computed values, via computer software and internet module, at a high analytical level. Furthermore, the results obtained applying principal component analysis to k and/or log k values allow the prediction and explanation of the interaction involved in the retention mechanism which takes place between the compounds and the employed stationary phases during the development.
If we want to understand and manage any manufacturing process, it is necessary to ensure its objective and detailed description in real time. Diagnostic tools and methods are used for this purpose, but often they cont...
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ISBN:
(纸本)9781538657485
If we want to understand and manage any manufacturing process, it is necessary to ensure its objective and detailed description in real time. Diagnostic tools and methods are used for this purpose, but often they contain isolated descriptions of each process parameter. For the diagnosis to be as accurate as possible, we need to ensure a comprehensive collection of parameters describing the manufacturing process, which usually creates a very large set of data. A sufficiently large set of data obtained by diagnostic process enables us to discover, in addition to the obvious characteristics of the manufacturing process, also the hidden correlations between the parameters of the manufacturing process that allow us to understand the mutually affecting phenomena in the production process by implementing progressive and modify them to improve the results of the manufacturing process. Application of progressive methods in the complex diagnosis of the manufacturing process is the subject of our research.
Two kinds of gas explosion modes are put forward on the basis of analysis and study of gas explosion accidents in this paper. Based on the energy conversation equation of Chemical engineering thermodynamics, it is con...
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Two kinds of gas explosion modes are put forward on the basis of analysis and study of gas explosion accidents in this paper. Based on the energy conversation equation of Chemical engineering thermodynamics, it is concluded that the total intrinsic energy of the explosion system is constant before and after the gas explosion. Two computation methods of explosion temperature and pressure of gas explosion in vessels and in the air are built. Comparison of values between computation and literature shows that it is feasible to use the computation methods. Combination with case example the computation methods are explained.
Four widely used electromagnetic field solvers are applied to the problem of scattering by a spherical or spheroidal silver nanoparticle in glass. The solvers are tested in a frequency range where the imaginary part o...
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Four widely used electromagnetic field solvers are applied to the problem of scattering by a spherical or spheroidal silver nanoparticle in glass. The solvers are tested in a frequency range where the imaginary part of the scatterer refractive index is relatively large. The scattering efficiencies and near-field results obtained by the different methods are compared to each other, as well as to recent experiments on laser-induced shape transformation of silver nanoparticles in glass. (C) 2011 Optical Society of America
Distributed multi-agent unmanned aerial systems (UAS) have the potential to be heavily utilized in environmental monitoring, especially in wetland monitoring. Deep active learning algorithms provide key tools to analy...
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Distributed multi-agent unmanned aerial systems (UAS) have the potential to be heavily utilized in environmental monitoring, especially in wetland monitoring. Deep active learning algorithms provide key tools to analyze the sensed images captured during monitoring and interpret them precisely. However, these algorithms demand significant computational resources that limit their use with distributed UAS. In this paper, we propose a novel algorithm for consensus-enabled active learning that drastically reduces the computational demand while increasing the overall model accuracy. Once each of the UAS obtains a labeled subset of images through active learning, we update the weights of the model for three epochs only on the new images to reduce the computational cost, allowing for an increased operational time. The group of UAS communicates the model weights instead of the raw data and then leverages consensus to agree on updated weights. The consensus step mitigates the impact on weights caused by the updates and generalizes the knowledge of each individual UAS to the whole system, which results in increased model accuracy. Our method achieved an average of 11.15% increase in accuracy over 25 acquisition iterations whilst utilizing only 16.8% of the processor time compared to the centralized method of active learning.
Several different thin-film design problems were solved by the comprehensive-search, gradual-evolution, minus-filter, flip-flop, and inverse-Fourier-transform, thin-film synthesis methods. In order to compare the rela...
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Several different thin-film design problems were solved by the comprehensive-search, gradual-evolution, minus-filter, flip-flop, and inverse-Fourier-transform, thin-film synthesis methods. In order to compare the relative effectiveness of each method, the results obtained and computation times required by these techniques for primary, intermediate, and final solutions are given.
We introduce and develop a new explicit vector beam propagation method, based on the iterated Crank Nicolson scheme, which is an established numerical method in the area of computational relativity. The proposed appro...
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We introduce and develop a new explicit vector beam propagation method, based on the iterated Crank Nicolson scheme, which is an established numerical method in the area of computational relativity. The proposed approach results in a fast and robust method, characterized by simplicity, efficiency, and versatility. It is free of limitations inherent in implicit beam propagation methods, which are associated with poor convergence or uneconomical use of memory in the solution of large sparse linear systems, and thus it can tackle problems of considerable size and complexity. The advantages offered by this approach are demonstrated by analyzing a multimode interference coupler and a twin-core photonic crystal fiber. A possible wide-angle generalization is also provided. (C) 2009 Optical Society of America
computational cannula microscopy (CCM) is a high-resolution widefield fluorescence imaging approach deep inside tissue, which is minimally invasive. Rather than using conventional lenses, a surgical cannula acts as a ...
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computational cannula microscopy (CCM) is a high-resolution widefield fluorescence imaging approach deep inside tissue, which is minimally invasive. Rather than using conventional lenses, a surgical cannula acts as a lightpipe for both excitation and fluorescence emission, where computational methods are used for image visualization. Here, we enhance CCM with artificial neural networks to enable 3D imaging of cultured neurons and fluorescent beads, the latter inside a volumetric phantom. We experimentally demonstrate transverse resolution of similar to 6 mu m, field of view similar to 200 mu m and axial sectioning of similar to 50 mu m for depths down to similar to 700 mu m, all achieved with computation time of similar to 3ms/frame on a desktop computer. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
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