977 resultados para computational efficiency
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Dissertação de Mestrado (Programa Doutoral em Informática)
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This paper presents an automated optimization framework able to provide network administrators with resilient routing configurations for link-state protocols, such as OSPF or IS-IS. In order to deal with the formulated NP-hard optimization problems, the devised framework is underpinned by the use of computational intelligence optimization engines, such as Multi-objective Evolutionary Algorithms (MOEAs). With the objective of demonstrating the framework capabilities, two illustrative Traffic Engineering methods are described, allowing to attain routing configurations robust to changes in the traffic demands and maintaining the network stable even in the presence of link failure events. The presented illustrative results clearly corroborate the usefulness of the proposed automated framework along with the devised optimization methods.
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Supplemental data for this article can be accessed at http://dx.doi.org/10.1080/07900627.2015.1070091. It includes an easy-to-use spreadsheet that calculates the efficiencies used in this paper, that is Sefficiency with energy considerations.
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This paper reports on a new façade system that uses passive solutions in the search for energy efficiency. The differentials are the versatility and flexibility of the modules, which are important advantages of the system. The thermal performance of Trombe walls and glazings and the daylighting performance of glazing were the key aspects analyzed in the results. Computational simulations were accomplished for the thermal performance of different arrangements of the modules with DesignBuilder software. The glazing daylighting performance was studied by means of Ecotect and Desktop Radiance programs and compared with the transmittance curves of glazings. Occupancy profile and internal gains were fixed according to the Portuguese reality for both studies. The main characteristics considered in this research were the use of two double glazings, four different climates in Portugal and one and two Trombe walls in the façade. The results show an important reduction in the energy consumption with the use of Trombe walls and double self-cleaning glazing in the façade, which also presented better daylighting performance.
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Tese de Doutoramento em Engenharia Civil.
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This work presents a molecular-scale agent-based model for the simulation of enzymatic reactions at experimentally measured concentrations. The model incorporates stochasticity and spatial dependence, using diffusing and reacting particles with physical dimensions. We developed strategies to adjust and validate the enzymatic rates and diffusion coefficients to the information required by the computational agents, i.e., collision efficiency, interaction logic between agents, the time scale associated with interactions (e.g., kinetics), and agent velocity. Also, we tested the impact of molecular location (a source of biological noise) in the speed at which the reactions take place. Simulations were conducted for experimental data on the 2-hydroxymuconate tautomerase (EC 5.3.2.6, UniProt ID Q01468) and the Steroid Delta-isomerase (EC 5.3.3.1, UniProt ID P07445). Obtained results demonstrate that our approach is in accordance to existing experimental data and long-term biophysical and biochemical assumptions.
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During must fermentation by Saccharomyces cerevisiae strains thousands of volatile aroma compounds are formed. The objective of the present work was to adapt computational approaches to analyze pheno-metabolomic diversity of a S. cerevisiae strain collection with different origins. Phenotypic and genetic characterization together with individual must fermentations were performed, and metabolites relevant to aromatic profiles were determined. Experimental results were projected onto a common coordinates system, revealing 17 statistical-relevant multi-dimensional modules, combining sets of most-correlated features of noteworthy biological importance. The present method allowed, as a breakthrough, to combine genetic, phenotypic and metabolomic data, which has not been possible so far due to difficulties in comparing different types of data. Therefore, the proposed computational approach revealed as successful to shed light into the holistic characterization of S. cerevisiae pheno-metabolome in must fermentative conditions. This will allow the identification of combined relevant features with application in selection of good winemaking strains.
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El objetivo de este proyecto, enmarcado en el área de metodología de análisis en bioingeniería-biotecnología aplicadas al estudio del cancer, es el análisis y caracterización a través modelos estadísticos con efectos mixtos y técnicas de aprendizaje automático, de perfiles de expresión de proteínas y genes de las vías metabolicas asociadas a progresión tumoral. Dicho estudio se llevará a cabo mediante la utilización de tecnologías de alto rendimiento. Las mismas permiten evaluar miles de genes/proteínas en forma simultánea, generando así una gran cantidad de datos de expresión. Se hipotetiza que para un análisis e interpretación de la información subyacente, caracterizada por su abundancia y complejidad, podría realizarse mediante técnicas estadístico-computacionales eficientes en el contexto de modelos mixtos y técnias de aprendizaje automático. Para que el análisis sea efectivo es necesario contemplar los efectos ocasionados por los diferentes factores experimentales ajenos al fenómeno biológico bajo estudio. Estos efectos pueden enmascarar la información subycente y así perder informacion relavante en el contexto de progresión tumoral. La identificación de estos efectos permitirá obtener, eficientemente, los perfiles de expresión molecular que podrían permitir el desarrollo de métodos de diagnóstico basados en ellos. Con este trabajo se espera poner a disposición de investigadores de nuestro medio, herramientas y procedimientos de análisis que maximicen la eficiencia en el uso de los recursos asignados a la masiva captura de datos genómicos/proteómicos que permitan extraer información biológica relevante pertinente al análisis, clasificación o predicción de cáncer, el diseño de tratamientos y terapias específicos y el mejoramiento de los métodos de detección como así tambien aportar al entendimieto de la progresión tumoral mediante análisis computacional intensivo.
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La producción de leche de cabra es considerada en nuestro país, y en la provincia de Córdoba, una alternativa productiva para el desarrollo sustentable y socio – económico de la población. Por otra parte, existe una mayor demanda del mercado nacional e internacional de esta leche, por lo que los productores deben garantizar la seguridad y calidad de la misma de acuerdo a las normas vigentes. Es por ello que el control y tratamiento de las diferentes enfermedades es de vital importancia tanto para maximizar la producción del hato como para cumplir con los cánones de seguridad exigidos. En este contexto la mastitis caprina es una de las enfermedades que afecta la productividad del sector, y para controlarla una de las medidas a emplear es la terapéutica con antimicrobianos. Se trabajará en este proyecto con marbofloxacina y cefquinoma, estableciendo pautas racionales (eficaces y seguras) para su empleo en la afección a nivel regional. Los indicadores de eficacia estarán fijados de acuerdo a los parámetros integrados de farmacocinética (FC) y farmacodinamia (FD). Estos últimos (FD) serán calculados a través de la determinación concentraciones inhibitorias mínimas de cepas bacterianas aisladas de mastitis caprinas en Córdoba. Se establecerán los parámetros farmacocinéticos a dosis únicas y múltiples para la marbofloxacina (5 mg/kg IV, IM) y cefquinoma (2 mg/kg IV, IM e IMM) a partir de muestras de suero y leche de cabras Anglo Nubian (n = 6 por antimicrobiano; diseño cruzado en función de la ruta de administración). Se determinarán sus concentraciones en dichos fluidos, por cromatografía líquida de alta precisión. Los resultados FC/FD para ambos medicamentos se compararán con parámetros recomendados por expertos para cada tipo de antimicrobiano y se utilizarán como medida para recomendar una terapéutica racional, fundamental para optimizar la posología, garantizar la eficacia clínica, y reducir al mínimo la selección y propagación de cepas resistentes de agentes patógenos. The production of milk of goat is considered the province of Cordoba, a productive alternative for the sustainable development and partner - economically of the population. There is a major demand of the domestic and international market of this milk, for what the producers must guarantee the safety and quality of the same one of agreement to the in force procedure. It is for it that the control and treatment of the different diseases performs vital importance so much to maximize the production of the herd as to expire with the safety demanded. In this context the mastitis goat is one of the diseases that affect the productivity of the sector, and to control her one of the measures to using is the therapeutics with antimicrobial. One will be employed at this project with marbofloxacine and cefquinome, establishing rational guidelines (effective and sure) for his employment in the affection to regional level. The indicators of efficiency will be fixed in agreement to the integrated parameters of pharmacokinetics (PK) and pharmacodinamics (PD). The latter (PK) will be calculated across the determination inhibitory minimal concentrations of bacterial strains isolated of mastitis goat in Córdoba. The parameters will be established pharmacokinetics to the only and multiple doses for the marbofloxacine (5 mg/kg the IV, IM) and cefquinome (2 mg/kg the IVth, IM and IMM), From samples of whey and milk of goats Anglo Nubian (n = 6 for antimicrobial; design crossed depending on the route of administration). Its concentrations will decide in the above mentioned fluids, for liquid chromatography of high precision. The results PK/PD for both antimicrobial will be compared with parameters recommended by experts for every type of antimicrobial and will be in use as measure for recommending a rational, fundamental therapeutics for optimizing the dosage, for guaranteeing the clinical efficiency, and to reduce to the minimum the selection and spread of resistant of pathogenic agents.
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There are presently over 182 RBC plants, treating domestic wastewater, in the Republic of Ireland, 136 of which have been installed since 1986. The use of this treatment plant technology, although not new, is becoming increasingly popular. The aim of this research was to assess the effects that a household detergent has on rotating biological contractor treatment plant efficiency. Household detergents contribute phosphorus to the surrounding environment and can also remove beneficial biomass from the disc media. A simple modification was made to a conventional flat disc unit to increase the oxygen transfer of the process. The treatment efficiency of the modified RBC (with aeration cups attached) was assessed against a parallel conventional system, with and without degergent loading. The parameters monitored were chemical oxygen demand (COD), bio-chemical oxygen demand (BOD), nitrates, phosphates, dissolved oxygen, the motors power consumption, pH, and temperature. Some microscopic analysis of the biofilm was also to be carried out. The treatment efficiency of both units was compared, based on COD/BOD removal. The degree of nitrification achievable by both units was also assessed with any fluctuations in pH noted. Monitoring of the phosphorus removal capabilities of both units was undertaken. Relationships between detergent concentrations and COD removal efficiencies were also analysed.
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Magdeburg, Univ., Fak. für Verfahrens- und Systemtechnik, Diss., 2011
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Magdeburg, Univ., Fak. für Verfahrens- und Systemtechnik, Diss., 2011
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Visualistics, computer science, picture syntax, picture semantics, picture pragmatics, interactive pictures
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Complex Microwave Structures Wake Field Computatation PETRA III Generalized Multipole Technique Antenna Antennen Wakefelder Berechnung
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Biosignals processing, Biological Nonlinear and time-varying systems identification, Electomyograph signals recognition, Pattern classification, Fuzzy logic and neural networks methods