The intrinsic complexity and the geometric nature of network topology optimization lends itself to visual human-computer interaction. We have applied techniques of scientific visualization to all the aspects of networ...
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ISBN:
(纸本)0897914724
The intrinsic complexity and the geometric nature of network topology optimization lends itself to visual human-computer interaction. We have applied techniques of scientific visualization to all the aspects of network design, and have designed graphical user interface which takes full advantage of human expertise in the context of automated design processes.
visualization of an approximate solution set in multi- and many-objective optimization is a crucial component of the optimization process. To date, the focus of many of the visualizationtechniques is illustration of ...
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ISBN:
(纸本)9781538692769
visualization of an approximate solution set in multi- and many-objective optimization is a crucial component of the optimization process. To date, the focus of many of the visualizationtechniques is illustration of the distribution and converaence of solutions set without making any visual connection between the decision variables and solutions set. This paper proposes simple correlation-based visualization scheme called Enhanced Correlation Matrix plot (ECM) capable of showing the relationship among decision variables and objective values. The ECM plot can provide visual correlation information between each decision variable and objective functions as well as objective-wise relationship for different regions of the approximated solution set. Moreover, it can provide visual distribution of solutions along each objective. The efficiency of the proposed method is demonstrated on three widely used two- to eight objective- benchmark problems and two real-world problems with 6 and 17 decision variables. The experimental results show that the proposed ECM plot can provide essential information pertaining to relationships among objective functions and objective-to-decision variables.
Algebraic reconstruction techniques for the reconstruction of distributions from projections have yielded improvements in diverse fields such as medical imaging and electron microscopy. An important property of these ...
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Algebraic reconstruction techniques for the reconstruction of distributions from projections have yielded improvements in diverse fields such as medical imaging and electron microscopy. An important property of these methods is that they allow the use of various basis functions. Recently spherically symmetric functions (blobs) have been introduced as efficacious basis functions for reconstruction. However, basis functions whose parameters were found to be appropriate for use in reconstruction are not necessarily good for visualization. We propose a method of selecting blob parameters for both reconstruction and visualization. (C) 2003 Elsevier B.V. All rights reserved.
Cache performance is regarded as a critical issue that significantly influences the overall performance of a computer system. Hence, optimization with respect to cache behavior forms an important topic in both researc...
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ISBN:
(纸本)3540260439
Cache performance is regarded as a critical issue that significantly influences the overall performance of a computer system. Hence, optimization with respect to cache behavior forms an important topic in both research and commercial areas. This work aims at helping the user in the task of cache behavior analysis with a comprehensive visualization tool. The resulted cache visualizer is capable of presenting the various aspects of cache accesses, and shows the performance data in a high-level, user-readable way. More specially, it directly leads the user to the data structures where excessive cache misses occur. It then further depicts the reason of theses misses. In addition, it helps the user to decide important parameters concerning some optimizationtechniques, e.g. padding stride and size of cache blocks. Examples of initial optimization based on the visualizer have proven the feasibility of this visualization tool.
Progressive addition lenses are a relatively new approach to compensate for defects of the human visual system. While traditional spectacles use rotationally symmetric lenses, progressive lenses require the specificat...
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Progressive addition lenses are a relatively new approach to compensate for defects of the human visual system. While traditional spectacles use rotationally symmetric lenses, progressive lenses require the specification of free-form surfaces. This poses difficult problems for the optimal design and its visual evaluation. This paper presents two new techniques for the visualization of optical systems and the optimization of progressive lenses. Both are based on the same wavefront tracing approach to accurately evaluate the refraction properties of complex optical systems. We use the results of wavefront tracing for continuously, re-focusing the eye during rendering. Together with distribution ray tracing, this yields high-quality images Chat accurately simulate the visual quality of an optical system. The design of progressive lenses is difficult due to the trade-off between the desired properties of the lens and unavoidable optical errors, such as astigmatism and distortions. We use wavefront tracing to derive an accurate error functional describing the desired properties and the optical error across a lens. Minimizing this error yields optimal free-form lens surfaces. While the basic approach is much more general, in this paper we describe its application to the particular problem of designing and evaluating progressive lenses and demonstrate the benefits of the new approach with several example images.
In this paper some considerations about why design optimizationtechniques are so scarcely used in industry are first summarized. Then it is pointed out that a closer approach to the point of view of design engineers ...
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Vorticity is the quantity used to describe the creation, transformation and extinction of vortices. It is present not only in vortices but also in shear flow. Especially in ducted flows, most of the overall vorticity ...
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ISBN:
(纸本)0780387880
Vorticity is the quantity used to describe the creation, transformation and extinction of vortices. It is present not only in vortices but also in shear flow. Especially in ducted flows, most of the overall vorticity is usually contained in the boundary layer. When a vortex develops from the boundary layer, this can be described by transport of vorticity. For a better understanding of a flow it is therefore of interest to examine vorticity in all of its different roles. The goal of this application study was not primarily the visualization of vortices but of vorticity distribution and its role in vortex phenomena. The underlying industry at case is a design optimization for a Pelton turbine. An important industrial objective is to improve the quality of the water jets driving the runner. Jet quality is affected mostly by vortices originating in the distributor ring. For a better understanding of this interrelation, it is crucial to not only visualize these vortices but also to analyze the mechanisms of their creation. We used various techniques for the visualization of vorticity, including field lines and modified isosurfaces. For field line based visualization, we extended the image-guided streamline placement algorithm of Turk and Banks to data-guided field line placement on three-dimensional unstructured grids.
The wide variety of molecular architectures used in sensors and biosensors and the large amount of data generated with some principles of detection have motivated the use of computational methods, such as information ...
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The wide variety of molecular architectures used in sensors and biosensors and the large amount of data generated with some principles of detection have motivated the use of computational methods, such as information visualizationtechniques, not only to handle the data but also to optimize sensing performance. In this study, we combine projection techniques with micro-Raman scattering and atomic force microscopy (AFM) to address critical issues related to practical applications of electronic tongues (e-tongues) based on impedance spectroscopy. Experimentally, we used sensing units made with thin films of a perylene derivative (AzoPTCD acronym), coating Pt interdigitated electrodes, to detect CuCl(2) (Cu(2+)), methylene blue (MB), and saccharose in aqueous solutions, which were selected due to their distinct molecular sizes and ionic character in solution. The AzoPTCD films were deposited from monolayers to 120 nm via Langmuir-Blodgett (LB) and physical vapor deposition (PVD) techniques. Because the main aspects investigated were how the interdigitated electrodes are coated by thin films (architecture on e-tongue) and the film thickness, we decided to employ the same material for all sensing units. The capacitance data were projected into a 2D plot using the force scheme method, from which we could infer that at low analyte concentrations the electrical response of the units was determined by the film thickness. Concentrations at 10 mu M or higher could be distinguished with thinner films tens of nanometers at most-which could withstand the impedance measurements, and without causing significant changes in the Raman signal for the AzoPTCD film-forming molecules. The sensitivity to the analytes appears to be related to adsorption on the film surface, as inferred from Raman spectroscopy data using MB as analyte and from the multidimensional projections. The analysis of the results presented may serve as a new route to select materials and molecular architectures for n
In the field of machine learning, effective learning strategies play a critical role in enhancing model performance and efficiency. This paper utilizes Shapley entropy values to increase inter-class distances to enhan...
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ISBN:
(数字)9798331507022
ISBN:
(纸本)9798331507039
In the field of machine learning, effective learning strategies play a critical role in enhancing model performance and efficiency. This paper utilizes Shapley entropy values to increase inter-class distances to enhance classification tasks. The proposed framework integrates these values with adversarial techniques and extra-intra object distance minimization strategies inspired by adversarial optimization and object distance refinement techniques. Shapley entropy provides a nuanced way of addressing the limitations of recent OoD(out of distribution) loss functions, which primarily rely on adversarial methods but struggle with complex inter-cluster relationships. By leveraging a knn(k-nearest neighbor) based approach, Shapley entropy effectively defines multiple inter-cluster relationships, improving class separation and intra-class cohesion in a more robust and scalable manner. Moreover, the shapley entropy demonstrates superior efficiency by simultaneously addressing coreset selection and enhancing classification performance, making it applicable across both tasks seamlessly. Experimental results include class-wise accuracy, t-SNE visualizations validated on CIFAR-10, and the application of active learning.
Tools and techniques for conceptual design of rotorcraft are uncommon compared to what is available for sizing fixed-wing airplanes. With the goal of being able to easily create a sized helicopter or lift- and thrust-...
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