Examinando por Materia "Intelligent systems"
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Ítem Analysis of CO2 adsorption in amine-functionalized porous silicas by molecular simulations(American Chemical Society, 2015-06-01) Builes S.; López-Aranguren, P.; Fraile, J.; Vega, L.F.; Domingo, C.; Universidad EAFIT. Departamento de Ingeniería de Procesos; Desarrollo y Diseño de ProcesosWe present the results of a combined experimental-molecular simulations approach concerning the capacity for CO2 adsorption of aminosilica hybrid products synthesized using supercritical fluids. Two porous supports were examined for amine functionalization, an ordered mesoporous silica (MCM-41) and a disordered silica gel (SG40). The textural properties of the studied materials were analyzed by low-temperature N2 adsorption-desorption isotherms and compared to those of molecular simulations using the grand canonical Monte Carlo simulation method. The CO2 adsorption capacity of these materials was evaluated by recording CO2 adsorption isotherms up to 100 kPa. Molecular simulations of the CO2 adsorption behavior of selected samples were performed to gain a fundamental understanding of the effect of functionalization. This study shows that in the functionalized materials, the distance between nitrogen atoms of the grafted amines is a critical factor for the occurrence of CO2 chemisorption, providing some insight into key parameters for designing adsorbent materials for CO2 capture and separation. The relationship between the adsorption results with N2 and CO2 allow us to compare the potential applications of the materials in CO2 adsorption and separation processes. A correlation of the N2 adsorption at a given pressure with the CO2 adsorption at a different pressure allowed the prediction of which materials will perform well for these processes. The hybrid products with high amine density have desirable features required for industrial sorbents, such as an enhanced CO2 adsorption capacity and selectivity. © 2015 American Chemical Society.Ítem Estimation of fundamental diagrams in large-scale traffic networks with scarce sensor measurements(Institute of Electrical and Electronics Engineers Inc., 2018-01-01) Montoya O.L.Q.; Canudas-De-Wit C.; Montoya O.L.Q.; Canudas-De-Wit C.; Universidad EAFIT. Departamento de Ciencias; Modelado MatemáticoThe macroscopic fundamental diagram (MFD) relates space-mean flow density and the speed of an entire network. We present a method for the estimation of a 'normalized' MFD with the goal to compute specific Fundamental Diagram in places where loop sensors data is no available. The methodology allows using some data from different points in the city and possibly combining several kinds of information. To this aim, we tackle at least three major concerns: the data dispersion, the sparsity of the data, and the role of the link (with data) within the network. To preserve the information we decided to treat it as two-dimensional signals (images), so we based our estimation algorithm on image analysis, preserving data veracity until the last steps (instead of first matching curves that induce a first approximation). Then we use image classification and filtering tools for merging of main features and scaling. Finally, just the Floating Car Data (FCD) is used to map back the general form to the specific road where sensors are missing. We obtained a representation of the street by means of its likelihood with other links within the same network. © 2018 IEEE.Ítem How Useful and Understandable is the APPLIES Framework? A Preliminary Evaluation with Software Practitioners(Institute of Electrical and Electronics Engineers Inc., 2018-01-01) Rincón, L.; Chavarriaga, J.; Mazo, R.; Salinesi, C.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las ComunicacionesAlthough engineering software product lines have proven to be an efficient way to develop similar products with high quality and increased time-to-market, companies must determine if they are willing to do the business and technical changes that this strategy requires. To support decision making, we are proposing APPLIES, a framework for evaluating the motivation and preparation for adopting product lines in an organization. We reviewed drivers, success factors and barriers described in the literature and proposed a comprehensive framework where these aspects can be prioritized and inter-related by diverse stakeholders in a company. Decision makers can use the resulting information to advise or not the implementation of product lines. This paper reports an initial evaluation of our proposal: a quasi-experiment where a group of 14 practitioners discussed motivators and barriers for adopting product lines, applied the framework and answered a set of questions about it. Our results show that reviewing the proposed factors contribute to evaluate if product line engineering could be adopted. However, we noted some problems with the used descriptions and visualizations that we must tackle to improve the framework and prepare further evaluations. This paper presents lessons learned in the process and gives some advice to researchers proposing similar techniques. © 2018 IEEE.