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检索条件"任意字段=Conference on Simulation-Driven Modeling and Optimization"

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Nonlinear RANSAC optimization for parameter estimation with applications to phagocyte transmigration

Nonlinear RANSAC optimization for parameter estimation with ...

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10th International conference on Machine Learning and Applications, ICMLA 2011

作者： Kang, Mingon Gao, Jean Tang, Liping Department of Computer Science University of Texas at Arlington Arlington TX 76019 United States Department of Bioengineering University of Texas at Arlington Arlington TX 76019 United States

ISBN: (纸本)9780769546070

Developing vigorous mathematical models and estimating accurate parameters within feasible computational time are two indispensable parts to build reliable system models for representing biological properties of the system and for producing reliable simulation. For a complex biological system with limited observations, one of the daunting tasks is the large number of unknown parameters in the mathematical modeling whose values directly determine the performance of computational modeling. To tackle this problem, we have developed a data-driven global optimization method, nonlinear RANSAC, based on Random Sample Consensus (a.k.a. RANSAC) method, for parameter estimation of nonlinear system models. Conventional RANSAC method is sound and simple, but it is oriented for linear system models. We not only adopt the strengths of RANSAC, but also extend the method for nonlinear systems with outstanding performance. As a specific application example, we have targeted understanding phagocyte transmigration which is involved in the fibrosis process for biomedical device implantation. With well-defined mathematical nonlinear equations of the system, nonlinear RANSAC is performed for the parameter estimation. Moreover, simulations of the system for propagation prediction over the time are conducted under both normal conditions and knock-out conditions. In order to evaluate the general performance of the method, we also applied the method to signalling pathways where mathematical equations which are representing interaction of proteins are generated using ordinary differential equations as a general format, and public data sets for nonlinear regression evaluation are used to assess its performance. © 2011 IEEE.

关键词： Ordinary differential equations

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Antenna design through variable-fidelity simulation-driven optimization

Antenna design through variable-fidelity simulation-driven o...

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Antennas and Propagation conference, LAPC, Loughborough

作者： Slawomir Koziel Stanislav Ogurtsov Engineering Optimization & Modeling Center School of Science and Engineering Reykjavik University Reykjavik Iceland

In most cases, the adjustment of antenna geometry parameters requires repetitive electromagnetic (EM) simulations. As accurate, high-fidelity EM simulations are computationally expensive, an automated optimization process by embedding the EM solver directly into the optimization algorithm may be prohibitive. In this paper, a simple yet efficient simulation-driven design methodology of antenna structures is discussed and demonstrated. Our approach exploits a family of EM-based models of increasing discretization density that are sequentially optimized with the optimal design of the lower-fidelity model being the initial design for the higher-fidelity one. The design is further refined using a suitable response surface approximation model. We show that-using this technique-an optimized antenna design can be obtained at a low computational cost. Two examples are provided: a wideband microstrip antenna and a double ring antenna.

关键词： optimization Computational modeling Radio frequency Microstrip antennas Dielectric resonator antennas

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Behavioral models for microwave circuit optimization

Behavioral models for microwave circuit optimization

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IEEE Education Engineering (EDUCON)

作者： Alexandru Stefan Cornel Samoila Doru Ursutiu Bloomfield College Bloomfield USA Transilvania University of Brasov Brasov Romania

Contemporary microwave circuit design is based on EM simulations and complex simulation models. simulation model design is a must for growing number of devices and systems for which theoretical (e.g., analytical) models are either not available or not sufficiently accurate to yield the design satisfying given performance requirements. As prototype manufacture is very costly, the use of computer simulations has become commonplace as a feasible alternative for manufactures and also for education. Accurate numerical evaluations are computationally expensive; particularly for complex microwave/microstrip structures and computationally efficient EM-driven design optimization can be realized using physically based behavioral models.

关键词： Integrated circuit modeling Computational modeling Biological system modeling optimization Microwave circuits RLC circuits

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Automated model-driven generation of software components for the simulation of epithelial tissues

Automated model-driven generation of software components for...

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Middle East conference on Biomedical Engineering (MECBME)

作者： Thomas Sütterlin Hartmut Dickhaus Niels Grabe Institute for Medical Biometry and Informatics Department of Medical Informatics Hamamatsu TIGA Center University of Heidelberg Heidelberg Germany

Quantitative in silico modeling is a powerful means to enhance our understanding of complex biological systems. Accordingly, intuitive and flexible computational tools are needed to support the development of such models. We previously developed the platform EPISIM for graphical modeling and simulation of cellular behavior in epithelia. In this work we demonstrate how computationally efficient software components for epithelial tissue simulations can be automatically generated. We introduce a model-driven workflow to generate extendable and exchangeable software components for both the modeling and the simulation of epithelial tissues. We distinguish two levels of abstraction in our workflow and thus two kinds of models: (i) the meta-model of our modeling language and (ii) particular systems biological cell behavioral models. The model-driven component generation allows optimization of the underlying code and the automated integration in our EPISIM platform. We evaluated the computational performance and the correctness of the generated software components. In this work we focus on the evaluation of the computational performance. It could be shown that the execution time increases nearly linearly with the size of the generated component's underlying model.

关键词： Biological system modeling Unified modeling language Computational modeling Software Java Finite element methods

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Microwave design optimization using local response surface approximations and variable-fidelity electromagnetic models

Microwave design optimization using local response surface a...

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European conference on Microwave

作者： Slawomir Koziel Stanislav Ogurtsov Engineering Optimization & Modeling Center School of Science and Engineering Reykjavik University Reykjavik Iceland

A computationally efficient algorithm for simulation driven design optimization of microwave structures is proposed. Our approach exploits variable-fidelity electromagnetic models of the structure under consideration. The low-fidelity model is optimized using a response surface approximation technique. The high-fidelity model is refined by space mapping with polynomial interpolation of the low-fidelity model data used as an underlying coarse model. Our algorithm is carefully developed to minimize the number off evaluations of both the low- and high-fidelity model in the optimization process. The operation and efficiency of the approach is demonstrated through design of a microstrip filter and an ultrawideband monopole antenna. A comparison with other design approaches, including the direct high-fidelity model optimization, is also presented.

关键词： optimization Microwave filters Microwave circuits Radio frequency Integrated circuit modeling Computational modeling

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Design and optimization of a robotic finger

Design and optimization of a robotic finger

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IEEE conference on Industrial Electronics and Applications (ICIEA)

作者： Qiang Zhan Rui Yang Robotics Institute Beihang University Beijing China

This paper introduces a novel link-driven, 1 DOF, three phalanges robotic finger. In order to improve the grasping performance of BHG-1 hand which is driven by tendon system, a link-driven finger is proposed. First, the design requirements of new finger are given on the basis of the new grasping scheme of BHG-1 hand. Then, the analysis and optimization design procedure of the linkage for the robotic finger is carried out. Through the linkage movement space analysis, the linkage is skillfully embedded in the finger body in the 3D finger modeling process. At last, the grasping simulation of the finger shows that the finger meets the design requirements of BHG-1 hand and has excellent grasping capability and adaptability.

关键词： Fingers Couplings optimization Robots Grasping Humans Three dimensional displays

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CALIPER: A universal robot simulation framework for tendon-driven robots

CALIPER: A universal robot simulation framework for tendon-d...

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2011 IEEE/RSJ International conference on Intelligent Robots and Systems

作者： Steffen Wittmeier Michael Jäntsch Konstantinos Dalamagkidis Markus Rickert Hugo Gravato Marques Alois Knoll Robotics and Embedded Systems Faculty of Informatics Technische Universität München Munich Germany Artificial Intelligence Laboratory University of Zurich Zurich Switzerland

The development of increasingly complex robots in recent years has been characterized by an extensive use of physics-based simulations for controller design and optimization. Today, a variety of open-source and commercial simulators exist for this purpose for mobile and industrial robots. However, existing simulation engines still lack support for the emerging class of tendon-driven robots. In this paper, an innovative simulation framework for the simulation of tendon-driven robots is presented. It consists of a generic physics simulator capable of utilizing CAD robot models and a set of additional tools for simulation control, data acquisition and system investigation. The framework software architecture has been designed using component-based development principles to facilitate the framework extension and customization. Furthermore, for inter-component communication, the operating-system and programming language independent Common Object Request Broker Architecture (CORBA) [1] has been used which simplifies the integration of the framework into existing software environments.

关键词： Solid modeling Robots Engines Physics Data models Computational modeling Open source software

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Research on virtual equipment co-simulation platform based on web

Research on virtual equipment co-simulation platform based o...

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IEEE conference on Industrial Electronics and Applications (ICIEA)

作者： Hu Han Wenhua Zhu CIMS & Robotics Center Shanghai University Shanghai China

Assembly simulation technology which is based on virtual reality can benefit a lot on the optimization of product design as well as the training and coaching of workers. At present, the effect of common assembly simulation is not very good, because it only pays attention to the process of assembly and ignores the environment, and it is not interactive just like a movie. In order to change this, we try to construct a virtual Equipment co-simulation platform based on web and use human computer interaction technology, which are made of virtual control system, virtual assembly system and visualization driven system, etc, at the same time, the system and its subsystem overall structure and the foundation structure are put forward. At Last, an example of assembly simulation for airplane horizontal tail was given, and the result is proved to be effective.

关键词： Assembly Computational modeling Solid modeling Collaboration Object oriented modeling Data models XML

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Fast design of UWB antennas using electromagnetic models

Fast design of UWB antennas using electromagnetic models

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IEEE-APS conference on Antennas and Propagation for Wireless Communications

作者： S. Koziel S. Ogurtsov Engineering Optimization & Modeling Center School of Science and Engineering Reykjavik University Reykjavik Iceland

Computationally efficient simulation-driven design optimization of ultrawideband (UWB) antennas is presented. We focus on two methodologies, both exploiting coarse-discretization EM simulations, so-called low-fidelity model. The first approach, shape-preserving response prediction (SPRP) allows us to estimate the output of the high-fidelity EM antenna simulation, using the properly selected set of so-called characteristic points of the low fidelity model response. The SPRP-corrected model is then utilized to yield a prediction of the optimal antenna design. The second technique, accounts for the discrepancy between the low- and high-fidelity model responses by appropriate modifications of the design requirements. In either case, the optimization burden is shifted to the low-fidelity model so that the optimized antenna design can be found at low computational cost. Two examples of UWB antenna design are provided.

关键词： Computational modeling Ultra wideband antennas Radio frequency optimization Dipole antennas Microwave theory and techniques

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Rapid optimization of dielectric resonator antennas using surrogate models

Rapid optimization of dielectric resonator antennas using su...

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Antennas and Propagation conference, LAPC, Loughborough

作者： Slawomir Koziel Stanislav Ogurtsov Engineering Optimization & Modeling Center School of Science and Engineering Reykjavik University Reykjavik Iceland

Adjustment of geometry parameters and performance optimization of dielectric resonator antennas (DRAs) is a challenging task that requires electromagnetic (EM) simulations. In particular, DRA design automation is problematic due to high computational cost of accurate, high-fidelity EM simulations; specifically, embedding the EM solver directly into the optimization algorithm (e.g., gradient-based) may make the overall optimization costs inacceptable. In this paper, a computationally efficient simulation-driven DRA design is demonstrated. We present two DRA design cases with antenna geometry adjusted by means of surrogate-based optimization with the underlying low-fidelity model constructed from coarse-discretization EM simulations of the antenna of interest. The specific design approaches utilized here are space mapping and adaptively adjusted design specifications. For both examples, the optimized design is found at the computational cost corresponding only to a few high-fidelity simulations of the DRA.

关键词： Computational modeling optimization Dielectric resonator antennas Radio frequency Dielectrics Gain Microwave theory and techniques

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