931 resultados para Two-Level Optimization


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This paper deals with the computing simulation of the impact on permanent magnet synchronous generator wind turbines due to fifth harmonic content and grid voltage decrease. Power converter topologies considered in the simulations are the two-level and the three-level ones. The three-level converters are limited by unbalance voltages in the DC-link capacitors. In order to lessen this limitation, a new control strategy for the selection of the output voltage vectors is proposed. Controller strategies considered in the simulation are respectively based on proportional integral and fractional-order controllers. Finally, a comparison between the results of the simulations with the two controller strategies is presented in order to show the main advantage of the proposed strategy. (C) 2014 Elsevier Ltd. All rights reserved.

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A construction project is a group of discernible tasks or activities that are conduct-ed in a coordinated effort to accomplish one or more objectives. Construction projects re-quire varying levels of cost, time and other resources. To plan and schedule a construction project, activities must be defined sufficiently. The level of detail determines the number of activities contained within the project plan and schedule. So, finding feasible schedules which efficiently use scarce resources is a challenging task within project management. In this context, the well-known Resource Constrained Project Scheduling Problem (RCPSP) has been studied during the last decades. In the RCPSP the activities of a project have to be scheduled such that the makespan of the project is minimized. So, the technological precedence constraints have to be observed as well as limitations of the renewable resources required to accomplish the activities. Once started, an activity may not be interrupted. This problem has been extended to a more realistic model, the multi-mode resource con-strained project scheduling problem (MRCPSP), where each activity can be performed in one out of several modes. Each mode of an activity represents an alternative way of combining different levels of resource requirements with a related duration. Each renewable resource has a limited availability for the entire project such as manpower and machines. This paper presents a hybrid genetic algorithm for the multi-mode resource-constrained pro-ject scheduling problem, in which multiple execution modes are available for each of the ac-tivities of the project. The objective function is the minimization of the construction project completion time. To solve the problem, is applied a two-level genetic algorithm, which makes use of two separate levels and extend the parameterized schedule generation scheme. It is evaluated the quality of the schedules and presents detailed comparative computational re-sults for the MRCPSP, which reveal that this approach is a competitive algorithm.

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This paper is about a PV system connected to the electric grid by power electronic converters, using classical PI controller. The modelling for the converters emulates the association of a DC-DC boost with a two-level power inverter (TwLI) or three-level power inverter (ThLI) in order to follow the performance of a testing experimental system. Pulse width modulation (PWMo) by sliding mode control (SMCo) associated with space vector modulation (SVMo) is applied to the boost and the inverter. The PV system is described by the five parameters equivalent circuit. Parameter identification and simulation studies are performed for comparison with the testing experimental system.

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This paper focuses on a PV system linked to the electric grid by power electronic converters, identification of the five parameters modeling for photovoltaic systems and the assessment of the shading effect. Normally, the technical information for photovoltaic panels is too restricted to identify the five parameters. An undemanding heuristic method is used to find the five parameters for photovoltaic systems, requiring only the open circuit, maximum power, and short circuit data. The I- V and the P- V curves for a monocrystalline, polycrystalline and amorphous photovoltaic systems are computed from the parameters identification and validated by comparison with experimental ones. Also, the I- V and the P- V curves under the effect of partial shading are obtained from those parameters. The modeling for the converters emulates the association of a DC-DC boost with a two-level power inverter in order to follow the performance of a testing commercial inverter employed on an experimental system. © 2015 Elsevier Ltd.

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This paper focuses on a PV system linked to the electric grid by power electronic converters, identification of the five parameters modeling for photovoltaic systems and the assessment of the shading effect. Normally, the technical information for photovoltaic panels is too restricted to identify the five parameters. An undemanding heuristic method is used to find the five parameters for photovoltaic systems, requiring only the open circuit, maximum power, and short circuit data. The I–V and the P–V curves for a monocrystalline, polycrystalline and amorphous photovoltaic systems are computed from the parameters identification and validated by comparison with experimental ones. Also, the I–V and the P–V curves under the effect of partial shading are obtained from those parameters. The modeling for the converters emulates the association of a DC–DC boost with a two-level power inverter in order to follow the performance of a testing commercial inverter employed on an experimental system.

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Double degree

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Doctoral Thesis for PhD degree in Industrial and Systems Engineering

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We investigate the spontaneous emission rate of a two-level quantum emitter near a graphene-coated substrate under the influence of an external magnetic field or strain induced pseudo-magnetic field. We demonstrate that the application of the magnetic field can substantially increase or decrease the decay rate. We show that a suppression as large as 99$\%$ in the Purcell factor is achieved even for moderate magnetic fields. The emitter's lifetime is a discontinuous function of $|{\bf B}|$, which is a direct consequence of the occurrence of discrete Landau levels in graphene. We demonstrate that, in the near-field regime, the magnetic field enables an unprecedented control of the decay pathways into which the photon/polariton can be emitted. Our findings strongly suggest that a magnetic field could act as an efficient agent for on-demand, active control of light-matter interactions in graphene at the quantum level.

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The authors propose a mathematical model to minimize the project total cost where there are multiple resources constrained by maximum availability. They assume the resources as renewable and the activities can use any subset of resources requiring any quantity from a limited real interval. The stochastic nature is inferred by means of a stochastic work content defined per resource within an activity and following a known distribution and the total cost is the sum of the resource allocation cost with the tardiness cost or earliness bonus in case the project finishes after or before the due date, respectively. The model was computationally implemented relying upon an interchange of two global optimization metaheuristics – the electromagnetism-like mechanism and the evolutionary strategies. Two experiments were conducted testing the implementation to projects with single and multiple resources, and with or without maximum availability constraints. The set of collected results shows good behavior in general and provide a tool to further assist project manager decision making in the planning phase.

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Este trabajo analiza el rendimiento de cuatro nodos de cómputo multiprocesador de memoria compartida para resolver el problema N-body. Se paraleliza el algoritmo serie, y se codifica usando el lenguaje C extendido con OpenMP. El resultado son dos variantes que obedecen a dos criterios de optimización diferentes: minimizar los requisitos de memoria y minimizar el volumen de cómputo. Posteriormente, se realiza un proceso de análisis de las prestaciones del programa sobre los nodos de cómputo. Se modela el rendimiento de las variantes secuenciales y paralelas de la aplicación, y de los nodos de cómputo; se instrumentan y ejecutan los programas para obtener resultados en forma de varias métricas; finalmente se muestran e interpretan los resultados, proporcionando claves que explican ineficiencias y cuellos de botella en el rendimiento y posibles líneas de mejora. La experiencia de este estudio concreto ha permitido esbozar una incipiente metodología de análisis de rendimiento, identificación de problemas y sintonización de algoritmos a nodos de cómputo multiprocesador de memoria compartida.

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Lymphocoele is a rare and little known complication with only a handful of reports available. We report two cases of lymphocoele after anterior lumbar surgery that have occurred in two different centres and discuss diagnosis and management options. The first case is that of a 53-year-old male patient undergoing two level anterior lumbar interbody fusion (ALIF) for disabling back pain due to disc degeneration in the context of an old spondylodiscitis. He developed a large fluid mass postoperatively. Fluid levels of creatinin were low and intravenous urography ruled out a urinoma suggesting the diagnosis of a lymphocoele. Following two unsuccessful drainage attempts he underwent a laparoscopic marsupialization. The second case was that of a 32-year-old female patient developing a large fluid mass following a L5 corpectomy for a burst fracture. She was treated successfully with insertion of a vacuum drain during 7 days. Lymphocoele is a rare complication but should be suspected if fluid collects postoperatively following anterior lumbar spine procedures. Chemical analysis of the fluid can help in diagnosis. Modern treatment consists of laparoscopic marsupialization. Lymph vessel anatomy should be borne in mind while exposing the anterior lumbar spine.

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PURPOSE: To document the neurological outcome, spinal alignment and segmental range of movement after oblique cervical corpectomy (OCC) for cervical compressive myelopathy. METHODS: This retrospective study included 109 patients--93 with cervical spondylotic myelopathy and 16 with ossified posterior longitudinal ligament in whom spinal curvature and range of segmental movements were assessed on neutral and dynamic cervical radiographs. Neurological function was measured by Nurick's grade and modified Japanese Orthopedic Association (JOA) scores. Eighty-eight patients (81%) underwent either a single- or two-level corpectomy; the remaining (19%) undergoing three- or four-level corpectomies. The average duration of follow-up was 30.52 months. RESULTS: The Nurick's grade and the JOA scores showed statistically significant improvements after surgery (p < 0.001). The mean postoperative segmental angle in the neutral position straightened by 4.7 ± 6.5°. The residual segmental range of movement for a single-level corpectomy was 16.7° (59.7% of the preoperative value), for two-level corpectomy it was 20.0° (67.2%) and for three-level corpectomies it was 22.9° (74.3%). 63% of patients with lordotic spines continued to have lordosis postoperatively while only one became kyphotic without clinical worsening. Four patients with preoperative kyphotic spines showed no change in spine curvature. None developed spinal instability. CONCLUSIONS: The OCC preserves segmental motion in the short-term, however, the tendency towards straightening of the spine, albeit without clinical worsening, warrants serial follow-up imaging to determine whether this motion preservation is long lasting.

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In occupational exposure assessment of airborne contaminants, exposure levels can either be estimated through repeated measurements of the pollutant concentration in air, expert judgment or through exposure models that use information on the conditions of exposure as input. In this report, we propose an empirical hierarchical Bayesian model to unify these approaches. Prior to any measurement, the hygienist conducts an assessment to generate prior distributions of exposure determinants. Monte-Carlo samples from these distributions feed two level-2 models: a physical, two-compartment model, and a non-parametric, neural network model trained with existing exposure data. The outputs of these two models are weighted according to the expert's assessment of their relevance to yield predictive distributions of the long-term geometric mean and geometric standard deviation of the worker's exposure profile (level-1 model). Bayesian inferences are then drawn iteratively from subsequent measurements of worker exposure. Any traditional decision strategy based on a comparison with occupational exposure limits (e.g. mean exposure, exceedance strategies) can then be applied. Data on 82 workers exposed to 18 contaminants in 14 companies were used to validate the model with cross-validation techniques. A user-friendly program running the model is available upon request.

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We analyze interviewer related nonresponse differences in face-to-face surveys distinguishing three types of interviewers: those who have previous experience with the same high standard cross-sectional survey ("experienced"), those who were chosen by the survey agency to complete refusal conversions ("seniors"), and usual interviewers. The nonresponse components are obtaining household contact, target person contact, and target person cooperation. In addition we examine if interviewer homogeneity with respect to these components is different across the three interviewer groups. Data come from the European Social Survey (ESS) contact forms from four countries which participated during the three rounds 2002/04/06 and used the same survey agency that in turn used to some extent the same interviewers. To analyze interviewer effects, we use discrete two-level models. We find some evidence of better performance by both senior and experienced interviewers and indications of greater homogeneity for nonresponse components, especially for those that contain room for improvement. Surprisingly, the senior interviewers do not outperform those experienced. We conclude that survey agencies should make more efforts to decrease the comparatively high interviewer turnover.

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Contexte: la planification infirmière de sortie des personnes âgées est une composante importante des soins pour assurer une transition optimale entre l'hôpital et la maison. Beaucoup d'événements indésirables peuvent survenir après la sortie de l'hôpital. Dans une perspective de système de santé, les facteurs qui augmentent ce risque incluent un nombre croissant de patients âgés, l'augmentation de la complexité des soins nécessitant une meilleure coordination des soins après la sortie, ainsi qu'une augmentation de la pression financière. Objectif: évaluer si les interventions infirmières liées à la planification de sortie chez les personnes âgées et leurs proches aidants sont prédictives de leur perception d'être prêts pour le départ, du niveau d'anxiété du patient le jour de la sortie de l'hôpital et du nombre de recours non programmé aux services de santé durant les trente jours après la sortie. Méthode: le devis est prédictif corrélationnel avec un échantillon de convenance de 235 patients. Les patients âgés de 65 ans de quatre unités d'hôpitaux dans le canton de Vaud en Suisse ont été recrutés entre novembre 2011 et octobre 2012. Les types et les niveaux d'interventions infirmières ont été extraits des dossiers de soins et analysés selon les composantes du modèle de Naylor. La perception d'être prêt pour la sortie et l'anxiété ont été mesurées un jour avant la sortie en utilisant l'échelle de perception d'être prêt pour la sortie et l'échelle Hospital Anxiety and Depression. Un mois après la sortie, un entretien téléphonique a été mené pour évaluer le recours non programmé aux services de santé durant cette période. Des analyses descriptives et un modèle randomisé à deux niveaux ont été utilisés pour analyser les données. Résultats: peu de patients ont reçu une planification globale de sortie. L'intervention la plus fréquente était la coordination (M = 55,0/100). et la moins fréquente était la participation du patient à la planification de sortie (M = 16,1/100). Contrairement aux hypothèses formulées, les patients ayant bénéficié d'un plus grand nombre d'interventions infirmières de préparation à la sortie ont un niveau moins élevé de perception d'être prêt pour le départ (B = -0,3, p < 0,05, IC 95% [-0,57, -0,11]); le niveau d'anxiété n'est pas associé à la planification de sortie (r = -0,21, p <0,01) et la présence de troubles cognitifs est le seul facteur prédictif d'une réhospitalisation dans les 30 jours après la sortie de l'hôpital ( OR = 1,50, p = 0,04, IC 95% [1,02, 2,22]). Discussion: en se focalisant sur chaque intervention de la planification de sortie, cette étude permet une meilleure compréhension du processus de soins infirmiers actuellement en cours dans les hôpitaux vaudois. Elle met en lumière les lacunes entre les pratiques actuelles et celles de pratiques exemplaires donnant ainsi une orientation pour des changements dans la pratique clinique et des recherches ultérieures. - Background: Nursing discharge planning in elderly patients is an important component of care to ensure optimal transition from hospital to home. Many adverse events may occur after hospital discharge. From a health care system perspective, contributing factors that increase the risk of these adverse events include a growing number of elderly patients, increased complexity of care requiring better care coordination after discharge, as well as increased financial pressure. Aim: To investigate whether older medical inpatients who receive comprehensive discharge planning interventions a) feel more ready for hospital discharge, b) have reduced anxiety at the time of discharge, c) have lower health care utilization after discharge compared to those who receive less comprehensive interventions. Methods: Using a predictive correlational design, a convenience sample of 235 patients was recruited. Patients aged 65 and older from 4 units of hospitals in the canton of Vaud in Switzerland were enrolled between November 2011 and October 2012. Types and level of interventions were extracted from the medical charts and analyzed according to the components of Naylor's model. Discharge readiness and anxiety were measured one day before discharge using the Readiness for Hospital Discharge Scale and the Hospital Anxiety and Depression scale. A telephone interview was conducted one month after hospital discharge to asses unplanned health services utilization during this follow-up period. Descriptive analyses and a two- level random model were used for statistical analyses. Results: Few patients received comprehensive discharge planning interventions. The most frequent intervention was Coordination (M = 55,0/100) and the least common was Patient participation in the discharge planning (M = 16,1/100). Contrary to our hypotheses, patients who received more nursing discharge interventions were significantly less ready to go home (B = -0,3, p < 0,05, IC 95% [-0,57, -0,11]); their anxiety level was not associated with their readiness for hospital discharge (r = -0,21, p <0,01) and cognitive impairment was the only factor that predicted rehospitalization within 30 days after discharge ( OR = 1,50, p = 0,04, IC 95% [1,02, 2,22]). Discussion: By focusing on each component of the discharge planning, this study provides a greater and more detailed insight on the usual nursing process currently performed in medical inpatients units. Results identified several gaps between current and Best practices, providing guidance to changes in clinical practice and further research.