Computationally efficient design optimization of antenna structures can be realized using variable-fidelity EM simulations, where most of the operations are performed at the level of a coarse-discretization EM model (...
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ISBN:
(纸本)9788890701863
Computationally efficient design optimization of antenna structures can be realized using variable-fidelity EM simulations, where most of the operations are performed at the level of a coarse-discretization EM model (referred to as the lowfidelity model) with occasional reference to the high-fidelity one, for the sake of model correction and design verification. An important issue is an appropriate selection of the low-fidelity model in terms of its speed and accuracy. It is typically controlled by adjusting discretization density of the structure at hand. Using the model that is too coarse may lead to unreliable design and divergence of the optimization algorithm. If the model is too fine, the computational cost of the design process increases. So far, the model selection has been realized interactively through visual inspection of the model responses. In this paper, an automated procedure for low-fidelity model setup has been proposed based on statistical analysis of correlations between the models of various fidelities. Using an example of a dielectric resonator antenna we demonstrate that our approach allows for selecting the optimal discretization level of the lowfidelity model that results in a good compromise between the cost and reliability of the design process.
In this paper, an optimization-based procedure for performance comparison of alternative compact UWB antenna topologies is discussed. Our approach allows for fast assessment of compact antenna performance by identifyi...
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ISBN:
(纸本)9781509007837
In this paper, an optimization-based procedure for performance comparison of alternative compact UWB antenna topologies is discussed. Our approach allows for fast assessment of compact antenna performance by identifying the best possible trade-offs between the antenna size and its reflection responses. Analysis of such Pareto-optimal designs obtained for various antenna topologies allows for their fair comparison, particularly in terms of the minimum size they can be designed for (assuming acceptable reflection response levels) or the best attainable reflection characteristics. The multi-objective optimization algorithm utilized in this work exploits sequential domain patching technique and variable-fidelity EM simulation models. The proposed approach is demonstrated using two topologies of compact UWB monopole antennas.
In automotive industry, market demands shorter life cycles and individualized products. For manual assembly, this trend leads to more frequent planning of an ever increasing number of process variants. In order to ens...
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In automotive industry, market demands shorter life cycles and individualized products. For manual assembly, this trend leads to more frequent planning of an ever increasing number of process variants. In order to ensure planning quality, virtual verification of manual production is crucial for efficient process optimization. However, virtual verification is not established in practice because available simulation tools require prohibitive manual modeling effort for human motions of acceptable quality. For automating the modeling process, data driven motion synthesis approaches are promising candidates that -however- require high quality input data for acceptable synthesis results. Therefore, objective motion capture data quality measures for data driven human motion synthesis are sought. This work proposes and tests a principal component analysis (PCA) and a Shannon entropy based quality measure. Both measures evaluate post-processed data and thus consider motion capture hardware in combination with a post-processing tool chain. The measures are tested for selectivity and validity using two low cost and two high cost motion capture systems. They differ in selectivity for high and low cost motion capture systems. Both measures correctly predict motion synthesis quality in tests with treadmill walking. Therefore, they can be employed for testing if a motion capture system is suitable for data driven motion synthesis that relies on PCA for input dimension reduction. Further research on robustness of the measures against motion variation is proposed. (C) 2015 The Authors. Published by Elsevier B.V.
The objective of this work is to model and simulate micro electromagnetic actuator driven by the electric current in the coil. The process of generating a magnetic flux (and hence force) by means of current flowing th...
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ISBN:
(纸本)9781509046973
The objective of this work is to model and simulate micro electromagnetic actuator driven by the electric current in the coil. The process of generating a magnetic flux (and hence force) by means of current flowing through the coil can be called as electromagnetic excitation. A cantilever beam kept at the sides of the coil gets deflected because of this force and can act as electromagnetic actuator. The electromagnetic actuator has been modeled and simulated using COMSOL Multiphysics software. Electromagnetic actuators without core and with core are compared. In the electromagnetic actuator with core, displacement increases hundred times more than that of electromagnetic actuator without core. Different materials for cantilever have been considered and it is found that, iron and aluminum are found good for electromagnetic actuation.
Population dynamics describes the changes in size, distribution and age compositions of population. modeling and simulation have been used by researchers and scientists to understand and analyze the population dynamic...
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ISBN:
(纸本)9781509020881
Population dynamics describes the changes in size, distribution and age compositions of population. modeling and simulation have been used by researchers and scientists to understand and analyze the population dynamics and to apply it for policy evaluation. In this paper we describe a population dynamics model based on the features of both the microsimulation and the agent-based modelling. We apply this model to simulate and analyze the Korean population dynamics using the Korean population data. The agents in this model derive their decisions and behaviors from the real data (microsimulation feature) and interact among themselves (agent based modeling feature) to proceed in the simulation and change their states such as their age, educational status, gender etc., along with simulation procedure. This model is used for the analysis of population dynamics by varying behaviors, interactions and social scenarios of the agents. The simulation results obtained through these virtual experiments enabled us to discover the factors that trigger population dynamics. This paper makes an attempt to filter out the main factors which can affect the Korean population dynamics. Furthermore, this paper shows that our approach can be used for the optimization and evaluation of the public policies with a pension policy example.
The proceedings contain 17 papers. The topics discussed include: innovation process improvement � a best practice approach;a simulation model to evaluate the laundry order scheduling and effect of disruptive events in...
ISBN:
(纸本)9788897999706
The proceedings contain 17 papers. The topics discussed include: innovation process improvement � a best practice approach;a simulation model to evaluate the laundry order scheduling and effect of disruptive events in industrial laundries;multi-objective evolutionary algorithms of correlated storage assignment strategy;browsing or buying: adding shop dynamics and additional mall visit constraints in regional versus city mall simulations;multi-criteria decision support system coupling logistics and financial performance in inventory management;prioritising the safety management elements through AHP model and key performance indicators;investigation into ERP-based symbiotic simulation project implementation on Ford engine production line: challenges, opportunities and prospects;process driven framework for augmented reality in a manufacturing environment;a buffer allocation problem in automotive body shop;modelling trauma physiology for large crisis management;heuristic and metaheuristic simulation-based optimization for solving a hybrid flow shop scheduling problem;methodological and technical basis for interdisciplinary investigation in the field of cyber-physical-socio systems;automated exchange system between simulation, visualization and construction tools;using the HLA standard in the context of an international simulation project: the experience of the 'SMASHTteam';and developing an enterprise operating system (EOS) with the federated interoperability approach.
In this paper, a novel technique for cost-efficient design optimization of microwave structures has been proposed. Our approach exploits an adaptive response scaling that ensures good alignment between an equivalent c...
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In this paper, a novel technique for cost-efficient design optimization of microwave structures has been proposed. Our approach exploits an adaptive response scaling that ensures good alignment between an equivalent circuit (used as an underlying low-fidelity model) and an electromagnetic (EM) simulation model of the structure under design. As the adaptive scaling tracks the low-fidelity model changes both in terms of frequency and the response level, it exhibits better generalization capability than traditional (e.g., space mapping) surrogates. This translates into improved design reliability and reduced design cost. Our methodology is demonstrated using two examples of microstrip filters and compared to several variations of conventional space mapping.
We study the use of robust optimization (RO) in approximating joint chance-constrained programs (CCP), in situations where only limited data, or Monte Carlo samples, are available in inferring the underlying probabili...
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ISBN:
(纸本)9781509044863
We study the use of robust optimization (RO) in approximating joint chance-constrained programs (CCP), in situations where only limited data, or Monte Carlo samples, are available in inferring the underlying probability distributions. We introduce a procedure to construct uncertainty set in the RO problem that translates into provable statistical guarantees for the joint CCP. This procedure relies on learning the high probability region of the data and controlling the region's size via a reformulation as quantile estimation. We show some encouraging numerical results.
The proceedings contain 71 papers. The special focus in this conference is on Methodology, Model Engineering for System of Systems, High Performance Computing and simulation. The topics include: An accurate global tim...
ISBN:
(纸本)9789811026621
The proceedings contain 71 papers. The special focus in this conference is on Methodology, Model Engineering for System of Systems, High Performance Computing and simulation. The topics include: An accurate global time synchronization method in wireless sensor networks;a novel adaptive cooperative artificial bee colony algorithm for solving numerical function optimization;an event-thinking development framework for reusable model of parallel and discrete event simulation;a kind of attitude algorithm for high dynamic IMU;Markov based dynamic slot allocation algorithm;simulation for POD-driven ship course ADRC steering;enhanced null message algorithm for PDES with diverse event density;an overview of conceptual model for simulation;a clustering-based artificial bee colony algorithm;the multi-innovation based RLS method for Hammerstein systems;control strategies for network systems based on a novel event-trigger mechanism;an integrated model predictive iterative learning control strategy for batch processes;a hybrid model of AR and PNN method for building thermal load forecasting;a MKL-MKB image classification algorithm based on multi-kernel boosting method;optimization for accelerating large scale agent based simulation;a sequential Latin hypercube sampling method for Metamodeling;differential evolution improved with adaptive control parameters and double mutation strategies;simulation methodology used in computer structure course and atmospheric environment five dimensional representation model.
A mathematical model for building energy systems (BES) is developed which maps the energy transfer processes occurring within the building space. Construction elements making up the building space and the heating and ...
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ISBN:
(纸本)9781467366212
A mathematical model for building energy systems (BES) is developed which maps the energy transfer processes occurring within the building space. Construction elements making up the building space and the heating and cooling plant responsible for thermal comfort of the occupants are also modeled. This involved quantification of linkages between temperature and humidity conditions and level occupancy (number of occupants, occupancy schedule) within building space. Thermal energy transfer processes of conductive, convective, and radiative heat balance for each surface of the construction elements and a convective heat balance for the building space are modeled. Building space zone is modelled for both sensible and latent thermal energy transfer. State space approach is used to model the building construction elements such as walls, with the parameters estimated using a nonlinear time invariant optimization algorithm with constraints. HVAC system is modelled with a control valve, heat emitter, occupancy driven ventilation controlled through a PID controller. A complete building energy system (BES) modeling procedure based on first principles of building physics is presented. BES model is simulated using MATLAB/Simulink and the results depict the temperature variations within the building space at less computational times.
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