The traditional design of accelerator magnet usually involves many time consuming iterations of the manual analysis process. A software platform to do these iterations automatically is proposed in this paper. In this ...
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The traditional design of accelerator magnet usually involves many time consuming iterations of the manual analysis process. A software platform to do these iterations automatically is proposed in this paper. In this platform, we use DAKOTA (a open source software developed by Sandia National Laboratories) as the optimizing routine, which provides a variety of optimization methods and algorithms, and OPERA (software from Vector Fields) is selected as the electromagnetic simulating routine. In this paper, two examples of designs of accelerator magnets are used to illustrate how an optimization algorithm is chosen and the platform works.
The traditional design of accelerator magnet usually involves many time consuming iterations of the manual analysis process. A software platform to do these iterations automatically is proposed in this paper. In this ...
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The traditional design of accelerator magnet usually involves many time consuming iterations of the manual analysis process. A software platform to do these iterations automatically is proposed in this paper. In this platform, we use DAKOTA (a open source software developed by Sandia National Laboratories) as the optimizing routine, which provides a variety of optimization methods and algorithms, and OPERA (software from Vector Fields) is selected as the electromagnetic simulating routine. In this paper, two examples of designs of accelerator magnets are used to illustrate how an optimization algorithm is chosen and the platform works.
In this paper, we propose a new algorithm for optimizing surface texture mosaics when texturing 3D model reconstructed from multi-views of objects from real world. We start with the 3D geometry acquired by structure f...
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ISBN:
(纸本)9781424467129
In this paper, we propose a new algorithm for optimizing surface texture mosaics when texturing 3D model reconstructed from multi-views of objects from real world. We start with the 3D geometry acquired by structure from motion (SFM) approach. Then, the photographic images for acquiring 3D structure are used as texture data and mapped precisely on the surface. Inspired by law of Matthew Effects, we implement an iteration algorithm for automatically sampling a few images as texture maps instead of using the whole set of input images. Imposed on visibility and texture area constraints, texture mosaics are efficiently regrouped in the iteration framework. A great deal of seams between different texture mosaics where texture maps belong to different views are relieved after performing our optimization method. The implemented texturing system and its sufficient experimental results demonstrate the practicability and efficiency of the proposed approach.
Computational optimization forms an integrated part of modern computational science. Any good design should intend to achieve certain optimality, though optimal solutions are often difficult to find in practice since ...
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Computational optimization forms an integrated part of modern computational science. Any good design should intend to achieve certain optimality, though optimal solutions are often difficult to find in practice since uncertainty and nonlinearity always present in almost all real-world problems. As resources, time and money are always limited, optimization becomes even more important in practice. This workshop on Computational optimization, Modelling and Simulation (COMS 2010) at ICCS 2010 will summarize the latest developments of optimization and modelling and their applications in science, engineering and industry. (C) 2010 Published by Elsevier Ltd.
Purpose: To assess the precision and robustness of patient setup corrections computed from 3D/3D rigid registration methods using image intensity, when no ground truth validation is possible. Methods: Fifteen pairs of...
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Purpose: To assess the precision and robustness of patient setup corrections computed from 3D/3D rigid registration methods using image intensity, when no ground truth validation is possible. Methods: Fifteen pairs of male pelvic CTs were rigidly registered using four different in-house registration methods. Registration results were compared for different resolutions and image content by varying the image down-sampling ratio and by thresholding out soft tissue to isolate bony landmarks. Intrinsic registration precision was investigated by comparing the different methods and by reversing the source and the target roles of the two images being registered. Results: The translational reversibility errors for successful registrations ranged from 0.0 to 1.69 mm. Rotations were less than 1 degrees. Mutual information failed in most registrations that used only bony landmarks. The magnitude of the reversibility error was strongly correlated with the success/failure of each algorithm to find the global minimum. Conclusions: Rigid image registrations have an intrinsic uncertainty and robustness that depends on the imaging modality, the registration algorithm, the image resolution, and the image content. In the absence of an absolute ground truth, the variation in the shifts calculated by several different methods provides a useful estimate of that uncertainty. The difference observed by reversing the source and target images can be used as an indication of robust convergence. (C) 2010 American Association of Physicists in Medicine. [DOI: 10.1118/1.3414041]
A physically based distributed hydrological model is coupled with an optimization algorithm for joint dam operation to reduce the flood peaks downstream. The decision variables are the release-inflow ratios. The heuri...
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A physically based distributed hydrological model is coupled with an optimization algorithm for joint dam operation to reduce the flood peaks downstream. The decision variables are the release-inflow ratios. The heuristic algorithm seeds different release scenarios attempting to find the most suitable combination. The objective is to reduce the flood peak downstream, and the objective function is to minimize the difference between the simulated and threshold discharges. The latter depends on the purpose of flood management at the basin. Here, it is proposed as the mean discharge during heavy rainfall and is used to start a special dam operation. In order to fulfill the objective function, the reservoirs are expected to release water before the flood event takes place and close the gates during the flood peaks to replenish the released water beforehand. The developed system was applied to the upper Tone River in Japan where the optimal release schedule from two key dams was obtained. The observed weather radar products were input to the hydrological model to simulate the discharge within the river network. Then, the simulated inflows were input to the dam storage functions. The release is routed downstream and the river discharge is evaluated at the control point. The results indicate that the proposed integrated operation can effectively reduce a flood peak suggesting the feasibility of real-time operation in future developments.
The optimum design of horn antennas for the application as feeds to reflector antennas is performed utilizing a simulation tool based on an integration of HFSS commercial code as an electromagnetic computational engin...
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The optimum design of horn antennas for the application as feeds to reflector antennas is performed utilizing a simulation tool based on an integration of HFSS commercial code as an electromagnetic computational engine and an add-on optimization scheme of genetic algorithm. This work is motivated by the need of antenna operations at multiband frequencies, where the horn antennas tend to radiate narrower beams at higher frequencies and result in inefficient uses of the reflector surface since the narrow beams will illuminate only a portion of the reflector surface. Optimum design of the horn antenna may significantly increase efficiency. The philosophy of this work is based on a fact that the currently available commercial codes are reliable and relatively accurate in the analysis with more efforts tending to enhance the computational efficiency. The quality of the antenna design will mainly rely on an effective optimization algorithm that can be and should be developed independently according to engineers' own need, since the variables and cost functions for optimization can be flexibly selected. The integration of existing analysis codes, as mentioned above, and self-developed algorithms will be most effective for an engineer in the customized antenna design. The concepts and strategies are addressed with numerical examples to validate.
Consistent geometry parameterization of different models used in multidisciplinary optimization is one of the major issues for efficient design optimization. In this research, physics-based free-form deformation and r...
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Consistent geometry parameterization of different models used in multidisciplinary optimization is one of the major issues for efficient design optimization. In this research, physics-based free-form deformation and radial-basis-function-based deformation approaches that allow a direct manipulation of an arbitrary object are proposed for efficient geometry manipulation and parameterization in the optimization processes. The developed methods can deform any computational mesh mapped on the deformable geometry at once. The methods have several advantages for geometry parameterization, such as easy handling of complex objects, direct manipulation, local controllability, and intuitive deformation as real elastic objects. In addition, they offer a straightforward solution for constructing a hierarchical/adaptive parameterization that can benefit the optimization algorithmic performances. Application to an aerodynamic design optimization showed that the methods were effective for efficient design optimization.
In this paper, we studied the use of common-mode noise reduction technique for in-vehicle electronic equipment in an actual instrument design. We have improved the circuit model of the common-mode noise that flows to ...
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In this paper, we studied the use of common-mode noise reduction technique for in-vehicle electronic equipment in an actual instrument design. We have improved the circuit model of the common-mode noise that flows to the wire harness to add the effect of a bypass capacitor located near the LSI. We analyzed the improved circuit model using a circuit simulator and verified the effectiveness of the noise reduction condition derived from the circuit model. It was also confirmed that offsetting the impedance mismatch in the PCB section requires to make a circuit constant larger than that necessary for doing the impedance mismatch in the LSI section. An evaluation circuit board comprising an automotive microcomputer was prototyped to experiment on the common-mode noise reduction effect of the board. The experimental results showed the noise reduction effect of the board. The experimental results also revealed that the degree of impedance mismatch in the LSI section can be estimated by using a PCB having a known impedance. We further inquired into the optimization of impedance parameters, which is difficult for actual products at present. To satisfy the noise reduction condition composed of numerous parameters, we proposed a design method using an optimization algorithm and an electromagnetic field simulator, and confirmed its effectiveness.
Analytical and numerical optimization method for evaluating the complex effective dielectric and magnetic constants of elementary flat slab of metamaterial is presented. The minimization problem is solved for a cascad...
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Analytical and numerical optimization method for evaluating the complex effective dielectric and magnetic constants of elementary flat slab of metamaterial is presented. The minimization problem is solved for a cascaded network representation of the slab utilizing the Effective Medium Theory. The algorithm is benchmarked using the free Meep FDTD software package.
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