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检索条件"机构=Dept. of Computer Architecture and Automation Complutense University of Madrid"

共 52 条记录，以下是1-10 订阅

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A Lake Cyanobacteria Colony Dynamics Simulation Supported by Sph 24

A Lake Cyanobacteria Colony Dynamics Simulation Supported by...

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Proceedings of the Winter Simulation Conference

作者： Samuel Ferrero-Losada José L. Risco-Martín José A. López-Orozco Eva Besada-Portas Dept. of Computer Architecture and Automation Universidad Complutense de Madrid Madrid Spain

ISBN: (纸本)9798331534202

Addressing the prediction of Harmful Cyanobacterial Blooms (CyanoHABs) is critical due to the increasing strain on global water resources from climate change and overexploitation. This paper introduces a combined physical and biological modeling approach for simulating the 3D migration, growth, and decay of cyanobacteria colonies in water bodies. Utilizing the Smoothed Particle Hydrodynamics (SPH) method, our model accommodates complex geometries with high accuracy. This adaptable open-source framework significantly enhances the simulation of cyanobacteria migration in three dimensions, a capability often lacking in existing environmental lake simulators. Moreover, it is being integrated into an advanced early warning system, representing a digital twin of the water body. This integration aims to improve the prediction and management of CyanoHABs, contributing to safeguard water quality and ecosystem health.

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Methodology for Online Estimation of Rheological Parameters in Polymer Melts Using Deep Learning and Microfluidics 24

Methodology for Online Estimation of Rheological Parameters ...

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Proceedings of the Winter Simulation Conference

作者： Juan Sandubete-López José L. Risco-Martín Alexander H. McMillan Eva Besada-Portas Dept. of Computer Architecture and Automation Universidad Complutense de Madrid Madrid SPAIN and Microfluidics Innovation Center Paris FRANCE Dept. of Computer Architecture and Automation Universidad Complutense de Madrid Madrid SPAIN Microfluidics Innovation Center Paris FRANCE

ISBN: (纸本)9798331534202

Microfluidic devices are increasingly used in biological and chemical experiments due to their cost-effectiveness for rheological estimation in fluids. However, these devices often face challenges in terms of accuracy, size, and cost. This study presents a methodology, integrating deep learning, modeling and simulation to enhance the design of microfluidic systems, used to develop an innovative approach for viscosity measurement of polymer melts. We use synthetic data generated from the simulations to train a deep learning model, which then identifies rheological parameters of polymer melts from pressure drop and flow rate measurements in a microfluidic circuit, enabling online estimation of fluid properties. By improving the accuracy and flexibility of microfluidic rheological estimation, our methodology accelerates the design and testing of microfluidic devices, reducing reliance on physical prototypes, and offering significant contributions to the field.

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A LAKE CYANOBACTERIA COLONY DYNAMICS SIMULATION SUPPORTED BY SPH

A LAKE CYANOBACTERIA COLONY DYNAMICS SIMULATION SUPPORTED BY...

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2024 Winter Simulation Conference, WSC 2024

作者： Ferrero-Losada, Samuel Risco-Martín, José L. López-Orozco, José A. Besada-Portas, Eva Dept. of Computer Architecture and Automation Universidad Complutense de Madrid Madrid Spain

ISBN: (纸本)9798331534202

关键词： Lakes

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Advanced migraine prediction hardware system 50

Advanced migraine prediction hardware system

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50th Summer computer Simulation Conference, SCSC 2018, Part of the 2018 Summer Simulation Multi-Conference, SummerSim 2018

作者： Henares, Kevin Pagán, Josué Ayala, José L. Risco-Martín, José L. Dept. of Computer Architecture and Automation Complutense University of Madrid Madrid Spain Electronic Engineering Department Universidad Politécnica de Madrid Spain CCS-Center for Computational Simulation Madrid Spain Dept. of Computer Architecture and Automation Complutense University of Madrid CCS-Center for Computational Simulation Madrid Spain

ISBN: (纸本)9781510860209

Migraine is one of the most disabling neurological diseases. Its prevalence reaches 15% of the population in developed countries and lead to high economic costs for private and national health systems. There is no cure for the migraine yet. Objective and accurate migraine prediction turns necessary in order to increase the effectiveness of the current treatments. To tackle this problem authors demonstrated in previous works the feasibility of the migraine modeling and presented a DEVS-based model for migraine prediction in a real time framework. This work presents the first step to bring migraine predictive models and simulations to real devices for the first time in the literature. To do this, the DEVS-based model has been ported to a robust hardware description language (VHDL) to be implemented into a FPGA. This paper leads to the final stage: the physical implementation of a predictive migraine monitoring device. © 2018 Society for Modeling & Simulation International (SCS).

关键词： Field programmable gate arrays (FPGA)

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A performance/cost model for a CUDA drug discovery application on physical and public cloud infrastructures

A performance/cost model for a CUDA drug discovery applicati...

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作者： Guerrero, Ginés D. Wallace, Richard M. Vázquez-Poletti, José L. Cecilia, José M. García, José M. Mozos, Daniel Pérez-Sánchez, Horacio Dept. of Computer Architecture University of Murcia 30080 Murcia Spain Dept. of Computer Architecture and Automation Complutense University of Madrid 28040 Madrid Spain Dept. of Computer Science Catholic University of Murcia 30107 Murcia Spain

Virtual Screening (VS) methods can considerably aid drug discovery research, predicting how ligands interact with drug targets. BINDSURF is an efficient and fast blind VS methodology for the determination of protein binding sites, depending on the ligand, using the massively parallel architecture of graphics processing units(GPUs) for fast unbiased prescreening of large ligand databases. In this contribution, we provide a performance/cost model for the execution of this application on both local system and public cloud infrastructures. With our model, it is possible to determine which is the best infrastructure to use in terms of execution time and costs for any given problem to be solved by BINDSURF. Conclusions obtained from our study can be extrapolated to other GPU-based VS methodologies. Copyright © 2013 John Wiley & Sons, Ltd.

关键词： Ligands

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Practical applications of intelligent systems: An E-learning platforms recommencer

Practical applications of intelligent systems: An E-learning...

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2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2010

作者： Lopez, Victoria Santos, Matilde Esteve, Pablo Roldan, David DeMendoza, Juan C. Dept. Computer Architecture Automatics Complutense University Madrid Spain Informatics Faculty Complutense University Madrid Spain

ISBN: (纸本)9781424467907

This paper shows the advantage of using Intelligent Systems while developing engineering projects. The paper is based on three examples and it is focus into one of them: The Elearning Migration application, developed as a teaching aid tool in different organizations where various platforms coexist;this is the case of some Spanish universities. This tool solves three basic problems, which are shown in three independent modules. The first of these ones, concerns the recording and migration of the data;the second one, refers to the storing and organization of the images. The last one is an E-learning platform recommender based on an ID3 tree-decision. We are going to focus our article in this concrete module. ©2010 IEEE.

关键词： E-learning

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Towards an improvement of the forecast of wind resources in europe: application of unsupervised machine learning on future projections of polar vortex

Towards an improvement of the forecast of wind resources in ...

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2020 Summer computer Simulation Conference, SCSC 2020, Held at the 2020 Summer Simulation Multi-Conference, SummerSim 2020

作者： Montes, María Rodríguez Ayarzagüena, Blanca Mata-García, María Guijarro Complutense University of Madrid Spain Dept. Earth Physics and Astrophysics Complutense University of Madrid Spain Dept. Computer Architecture and Automatic Control Complutense University of Madrid Spain

ISBN: (纸本)9781713819462

Studying the impact of climate change on wintertime polar stratosphere is of particular relevance not only for climate knowledge but also for tropospheric projections. Machine learning provides a way to extract information from different climate models and combine the data in a such way that patterns are clearer, so predictions can be inducted. The methods used in this study have been region growing algorithm, K-means and combination of predictions. The final results show three clusters of response trends for the intensity and location of the stratospheric polar night jet. The prediction shows an increase in zonal wind intensity over the 2xCO2 and 4xCO2 concentration points and a decrease in the related latitude. Our methods can be extended for more climate models and simulation periods, and will allow not only to map the behavior of the polar night jet, but other stratospheric and tropospheric features and interactions between them. ©2020 Society for Modeling & Simulation International (SCS)

关键词： Climate models

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An evolutionary methodology for automatic design of finite state machines

An evolutionary methodology for automatic design of finite s...

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15th Annual Conference on Genetic and Evolutionary Computation, GECCO 2013

作者： Manuel Colmenar, J. Cuesta-Infante, Alfredo Risco-Martín, José L. Hidalgo, J. Ignacio C.E.S. Felipe II Complutense University of Madrid 28300 Aranjuez Spain Dept. of Computer Architecture and Automation Complutense University of Madrid 28040 Madrid Spain

ISBN: (纸本)9781450319645

We propose an evolutionary flow for finite state machine in- ference through the cooperation of grammatical evolution and a genetic algorithm. This coevolution has two main ad- vantages. First, a high-level description of the target prob- lem is accepted by the flow, being easier and affordable for system designers. Second, the designer does not need to de- fine a training set of input values because it is automatically generated by the genetic algorithm at run time. Our exper- iments on the sequence recognizer and the vending machine problems obtained the FSM solution in 99.96% and 100% of the optimization runs, respectively.

关键词： Genetic programming

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METHODOLOGY FOR ONLINE ESTIMATION OF RHEOLOGICAL PARAMETERS IN POLYMER MELTS USING DEEP LEARNING AND MICROFLUIDICS

METHODOLOGY FOR ONLINE ESTIMATION OF RHEOLOGICAL PARAMETERS ...

引用

2024 Winter Simulation Conference, WSC 2024

作者： Sandubete-López, Juan Risco-Martín, José L. McMillan, Alexander H. Besada-Portas, Eva Dept. of Computer Architecture and Automation Universidad Complutense de Madrid Madrid Spain Microfluidics Innovation Center Paris France

ISBN: (纸本)9798331534202

关键词： Viscosity measurement

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Unit testing platform to verify devs models

Unit testing platform to verify devs models

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2020 Summer computer Simulation Conference, SCSC 2020, Held at the 2020 Summer Simulation Multi-Conference, SummerSim 2020

作者： Henares, Kevin Risco-Martín, José L. Ayala, José L. Hermida, Román Dept. of Computer Architecture and Automation Complutense University of Madrid Calle Prof. José García Santesmases 9 Madrid28040 Spain

ISBN: (纸本)9781713819462

The natural progression from classic Model-Based Systems Engineering (MBSE) methodologies to Modeling and Simulation-Based Systems Engineering (M&SBSE) brings the need for more flexible and powerful validation tools. Completing the structure and descriptions of static models with self-diagnosis greatly facilitates the development, implementation, and validation of complex models. However, current simulation development environments and libraries often lack providing complete tools to validate these complex models straightforwardly and with the proper level of detail. In this article, we tackle this issue transferring one of the traditional software testing methods, unit testing, to the modeling and simulation field. To this end, we integrate a unit-testing method to the DEVS methodology, allowing the specification of expected states, outcomes, and behaviors of the simulation modules in an XML-based syntax, in all the levels of the hierarchical design. As a result, this methodology enables the generation of powerful and easy-readable verification files. ©2020 Society for Modeling & Simulation International (SCS)

关键词： Systems engineering

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