877 resultados para Simulation softwares


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Due to the increasing acceptance of BPM, nowadays BPM tools are extensively used in organizations. Core to BPM are the process modeling languages, of which BPMN is the one that has been receiving most attention these days. Once a business process is described using BPMN, one can use a process simulation approach in order to find its optimized form. In this context, the simulation of business processes, such as those defined in BPMN, appears as an obvious way of improving processes. This paper analyzes the business process modeling and simulation areas, identifying the elements that must be present in the BPMN language in order to allow processes described in BPMN to be simulated. During this analysis a set of existing BPM tools, which support BPMN, are compared regarding their limitations in terms of simulation support.

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This work intends to present a newly developed test setup for dynamic out-of-plane loading using underWater Blast Wave Generators (WBWG) as loading source. Underwater blasting operations have been, during the last decades, subject of research and development of maritime blasting operations (including torpedo studies), aquarium tests for the measurement of blasting energy of industrial explosives and confined underwater blast wave generators. WBWG allow a wide range for the produced blast impulse and surface area distribution. It also avoids the generation of high velocity fragments and reduces atmospheric sound wave. A first objective of this work is to study the behavior of masonry infill walls subjected to blast loading. Three different masonry walls are to be studied, namely unreinforced masonry infill walls and two different reinforcement solutions. These solutions have been studied previously for seismic action mitigation. Subsequently, the walls will be simulated using an explicit finite element code for validation and parametric studies. Finally, a tool to help designers to make informed decisions on the use of infills under blast loading will be presented.

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Dissertação de mestrado em Engenharia de Sistemas

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The present paper focuses on a damage identification method based on the use of the second order spectral properties of the nodal response processes. The explicit dependence on the frequency content of the outputs power spectral densities makes them suitable for damage detection and localization. The well-known case study of the Z24 Bridge in Switzerland is chosen to apply and further investigate this technique with the aim of validating its reliability. Numerical simulations of the dynamic response of the structure subjected to different types of excitation are carried out to assess the variability of the spectrum-driven method with respect to both type and position of the excitation sources. The simulated data obtained from random vibrations, impulse, ramp and shaking forces, allowed to build the power spectrum matrix from which the main eigenparameters of reference and damage scenarios are extracted. Afterwards, complex eigenvectors and real eigenvalues are properly weighed and combined and a damage index based on the difference between spectral modes is computed to pinpoint the damage. Finally, a group of vibration-based damage identification methods are selected from the literature to compare the results obtained and to evaluate the performance of the spectral index.

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A new very high-order finite volume method to solve problems with harmonic and biharmonic operators for one- dimensional geometries is proposed. The main ingredient is polynomial reconstruction based on local interpolations of mean values providing accurate approximations of the solution up to the sixth-order accuracy. First developed with the harmonic operator, an extension for the biharmonic operator is obtained, which allows designing a very high-order finite volume scheme where the solution is obtained by solving a matrix-free problem. An application in elasticity coupling the two operators is presented. We consider a beam subject to a combination of tensile and bending loads, where the main goal is the stress critical point determination for an intramedullary nail.

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There is currently an increasing demand for robots able to acquire the sequential organization of tasks from social learning interactions with ordinary people. Interactive learning-by-demonstration and communication is a promising research topic in current robotics research. However, the efficient acquisition of generalized task representations that allow the robot to adapt to different users and contexts is a major challenge. In this paper, we present a dynamic neural field (DNF) model that is inspired by the hypothesis that the nervous system uses the off-line re-activation of initial memory traces to incrementally incorporate new information into structured knowledge. To achieve this, the model combines fast activation-based learning to robustly represent sequential information from single task demonstrations with slower, weight-based learning during internal simulations to establish longer-term associations between neural populations representing individual subtasks. The efficiency of the learning process is tested in an assembly paradigm in which the humanoid robot ARoS learns to construct a toy vehicle from its parts. User demonstrations with different serial orders together with the correction of initial prediction errors allow the robot to acquire generalized task knowledge about possible serial orders and the longer term dependencies between subgoals in very few social learning interactions. This success is shown in a joint action scenario in which ARoS uses the newly acquired assembly plan to construct the toy together with a human partner.

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This paper deals with a computing simulation for an offshore wind energy system taking into account the influence of the marine waves action throughout the floating platform. The wind energy system has a variable-speed turbine equipped with a permanent magnet synchronous generator and a full-power five level converter, injecting energy into the electric grid through a high voltage alternate current link. A reduction on the unbalance of the voltage in the DC-link capacitors of the five-level converter is proposed by a strategic selection of the output voltage vectors. The model for the drive train of the wind energy system is a two mass model, including the dynamics of the floating platform. A case study is presented and the assessment of the quality of the energy injected into the electric grid is discussed.

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A new integrated mathematical model for the simulation of an offshore wind system having a rectifier input voltage malfunction at one phase is presented in this paper. The mathematical model considers an offshore variable-speed wind turbine on a floating platform, equipped with a permanent magnet synchronous generator using full-power three-level converter to inject energy into the electric network, through a high voltage direct current transmission submarine cable. The model for the drive train is a discrete three mass, incorporating the dynamic of the moving surface. A case study is presented to access conclusion about the malfunction.

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Dissertação de mestrado integrado em Mechanical Engineering

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In this work, we present a 3D web-based interactive tool for numerical modeling and simulation approach to breast reduction surgery simulation, to assist surgeons in planning all aspects related to breast reduction surgery before the actual procedure takes place, thereby avoiding unnecessary risks. In particular, it allows the modeling of the initial breast geometry, the definition of all aspects related to the surgery and the visualization of the post-surgery breast shape in a realistic environment.

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Dissertação de mestrado integrado em Civil Engineering

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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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Estudios epidemiológicos, reportan que la fobia social es uno de los trastornos de ansiedad de alta prevalencia en la población mundial, que oscila entre el 7 y el 13%. La incidencia de este trastorno se ubica entre el 13 y 14% en personas de 15 a 54 años, manifestándose antes de los 25 años (Furmark,et al 2002). De esta manera, se destaca la importancia de el estudio y abordaje de este trastorno en adolecentes, considerando que es en esta etapa del desarrollo donde se empieza a manifestar, y donde la intervención temprana se torna fundamental. Este trastorno afecta la vida familiar, social y laboral de una persona, dado que la persona evita exponerse a lugares públicos o a situaciones donde anticipa la evaluación negativa. Las consecuencias del trastorno son variadas, ya que los individuos pueden perder su trabajo por miedo a la exposición, fracasar en los estudios o fracazar en la concertación de citas y la vida en pareja. El miedo a hablar en público, por otro lado, es una forma particular de ansiedad social que implica la preocupación de que el público va a pensar que el rendimiento de uno es inadecuado (o que evaluaranm negativamente la persona o el rendimiento de la misma). La relevancia social de esta problemática requiere de tratamientos más eficientes, dada la creciente prevalencia de estos trastornos en los últimos años a nivel internacional. En este sentido la terapia de exposición en diferentes modalidades, acompañada dereestructuración cognitiva se ha transformado en un abordjae de elección para estos trastornos ara el tratamiento de fobia social. Entre las modalidades más novedosas en la actualidad, se destaca la utilización de programas basados en escenarios virtuales y la utilización de la telepsicología para el tratamiento de la fobia social y el miedo a hablar en público. La exposición con realidad virtual o mediante simulaciones no sólo da la oportunidad de capitalizar las habilidades de imaginación del paciente sino también las suplementa con experiencias visuales y auditivas simuladas. Además expone al paciente a un ambiente virtual que contiene la situación temida en vez de llevar al paciente a una situación real o pedirle que imagine los estímulos asociados, aumentando de esta manera la eficiencia del tratamiento En particular en nuestro país, la investigación en este campo es inexistente y sus aplicaciones son incipientes, por lo que la adaptación, desarrollo y evaluación de programas de tratamiento clínico utilizando modalidades terapéuticas innovadoras, a la vez de otorgar atención a la comunidad que padece este tipo de trastornos, es fundamental Por esto, el propósito del presente proyecto es el desarrollo, la instrumentación y evaluación de software de telepsicología y tecnologías de realidad virtual orientados a la valoración y tratamiento de la Fobia Social y el miedo a Hablar en Público. Específicamente, el objetivo es adaptar, instrumentar y evaluar un sistema de tratamiento con base en ambientes virtuales para el tratamiento de la Fobia Social transferidos a nuestro equpio de investigación por el grupo de investigación del Laboratorio de Enseñanza Virtual y Ciberpsicología de la UNAM. También nos proponemos desarrollar dos softwares de telepsicología con videos digitales para la valoración y tratamiento del miedo a hablar en público. Finalmente, otro objetivo es el desarrollo de un instrumento de evaluación diagnóstica de la Fobia Social y el Miedo a Hablar en Público en estudiantes universitarios, el cual será incorporado a un software junto a los videos digitales.

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Magdeburg, Univ., Fak. für Maschinenbau, Diss., 2011

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Magdeburg, Univ., Fak. für Verfahrens- und Systemtechnik, Diss., 2011