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A research on optimization of fog estimation process in Peplography 24

A research on optimization of fog estimation process in Pepl...

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24th International conference on Control, Automation and Systems

作者： Ono, Seiya Ha, Jin-Ung Kim, Hyun-Woo Cho, Myungjin Lee, Min-Chul Kyushu Inst Technol Grad Sch Comp Sci & Syst Engn Iizuka Fukuoka 8208502 Japan Hankyong Natl Univ Sch ICT Robot & Mech Engn IITC Anseong 17579 Kyonggi Do South Korea

ISBN: (纸本)9798331517939;9788993215380

In recent years, imaging techniques are essential in our lives, such as security cameras and drive recorders. However, the visualization quality of these techniques sometimes is affected by scattering media, such as smoke at a fire or fog during driving. To solve this problem, Peplography has been proposed. Peplography is an optical algorithm that emphasizes the object information presented in the scattering media, even when the density of the scattering media varies within the image. On the other hand, Peplography estimates the scattering media in each local region, and when the region is not defined appropriately, the estimation of the scattering media will not be visualized. Therefore, the purpose of this research is to find the optimal processing for each environment by experiment with various situations, such as when the size of the object in the image is small, when the density of the scattering media is heavy, and when the target object is various.

关键词： Scattering removal Image processing Computational imaging visualization

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visualization of force fields in protein structure prediction

Visualization of force fields in protein structure predictio...

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conference on visualization and Data Analysis 2006

作者： Crawford, Clark Kreylos, Oliver Crivelli, Silvia Hamann, Bernd Univ Calif Davis IDAV One Shields Ave Davis CA 95616 USA Lawrence Berkeley Natl Lab Berkeley CA 94720 USA

ISBN: (纸本)0819461008

The force fields used in molecular computational biology are not mathematically defined in such a way that their representation would facilitate a straightforward application of volume visualization techniques. To visualize energy, it is necessary to define a spatial mapping for these fields. Equipped with such a mapping, we can generate volume renderings of the internal energy states of a molecule. We describe our force field, the spatial mapping that we use for energy, and the visualizations that we produce from this mapping. We provide images and animations that offer insight into the computational behavior of the energy optimization algorithms that we employ.

关键词： molecular visualization applications of volume graphics and volume visualization

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optimization of Thermomechanical Processes for the Functional Gradation of Polymers by Means of Advanced Empirical Modeling techniques

Optimization of Thermomechanical Processes for the Functiona...

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29th International conference of the Polymer-Processing-Society (PPS)

作者： Biermann, D. Hess, S. Ries, A. Wagner, T. Wibbeke, A. Tech Univ Dortmund Inst Machining Technol Dortmund Germany Univ Kassel Inst Mat Engn Kassel Germany Univ Paderborn Polymer Engn Paderborn Paderborn Germany

ISBN: (纸本)9780735412279

I In this paper, an optimization procedure for complex manufacturing processes is presented. The procedure is based on advanced empirical modeling techniques and will be presented in two parts. The first part comprises the selection and generation of the empirical surrogate models. The process organization and the design of experiments are taken into account. In order to analyze and optimize the processes based on the empirical models, advanced methods and tools are presented in the second part. These tools include visualization methods and a sensitivity and robustness analysis. Moreover, the obtained surrogate models are used for a model-based multi-objective optimization in order to explore the gradation potential of the processes. The procedure is applied to two thermo-mechanical processes for the functional gradation of polymers - a monoxiale stretching of polycarbonate films and a compression moulding process for polypropylene sheets.

关键词： Functionally graded materials empirical modeling design and analysis of computer experiments multi-objective optimization polymers

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Interpretable Self-Organizing Maps (iSOM) for visualization of Pareto Front in Multiple Objective optimization 11th

Interpretable Self-Organizing Maps (iSOM) for Visualization ...

引用

11th International conference on Evolutionary Multi-Criterion optimization, EMO 2021

作者： Nagar, Deepak Ramu, Palaniappan Deb, Kalyanmoy ADOPT Laboratory Department of Engineering Design Indian Institute of Technology Madras Chennai India COIN Laboratory Computer and Electrical Engineering Michigan State University East Lansing United States

ISBN: (纸本)9783030720612

visualization techniques in design space exploration with high dimensional data are helpful in enhancing the decision making in the context of multiple objective optimization. visualization of Pareto solutions obtained is crucial to understand the trade-off between the objectives as it enables intuitive decision making. However, such a task is not trivial beyond three dimensions. In this work, we propose using interpretable self-organizing map (iSOM), to visualize Pareto solutions for MOO problems involving n objectives (n> 3 ). iSOM enable simplified component plane plots that allow visual inspection of the Pareto fronts and also allow identifying clusters in the Pareto front and the corresponding design variables. Proposed approach is successfully demonstrated on 3 analytical examples. © 2021, Springer Nature Switzerland AG.

关键词： Multiobjective optimization

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A Python Toolbox for Surrogate-based optimization 12

A Python Toolbox for Surrogate-based Optimization

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12th IEEE International conference on Electronics Information and Emergency Communication, ICEIEC 2022

作者： Wang, Qingyu Nakashima, Takuji Kanehira, Taiga Mutsuda, Hidemi Graduate School of Engineering Hiroshima University Higashi-Hiroshima Japan Graduate School of Advanced Science and Engineering Hiroshima University Higashi-Hiroshima Japan

ISBN: (数字)9781665407540

ISBN: (纸本)9781665407540

In engineering optimization, machine learning becomes increasingly popular to intelligently obtain a continuous approximation in terms of discrete samples, so that the number of expensive experiments can be significantly reduced. Based on it, some typical steps of optimization process, e.g., search for the optimum, sensitivity analysis (SA), visualization, and statistical analysis, can be achieved. This method is also named as surrogate-based optimization (SBO). That is because only an approximation, rather than real functional relationship, between the objective and variables, is obtained in optimization. Currently, many toolboxes are proposed to achieve one or several functionalities in typical SBO. However, those toolboxes usually contain basic functionalities rather than comprehensive and the most advanced techniques, which makes them difficult to robustly solve complicated optimization problems. In the paper, a toolbox, namely, vehicular aerodynamic engineering optimization in Python (VAEOpy), is addressed. The VAEOpy comprehensively includes functionalities for design of experiments (DOE), Kriging metamodeling, neural network (NN), evolutionary computation, efficient global optimization (EGO), SA, and visualization. Therefore, flexible applications of different techniques can be achieved by users. Moreover, the object-oriented programming (OOP) and matrix operation (vectorization) in the VAEOpy also make it highly extendable and efficient. The VAEOpy is also compared with other two toolboxes for Kriging metamodeling and solving single-objective problem (SOP). The results show that the VAEOpy not only has higher performance to tune the hyperparameters of a Kriging model with high efficiency, but also provides more robust strategies of point infill to push optimization toward convergence. © 2022 IEEE.

关键词： Python

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A Survey of Global Information Fusion optimization Algorithms Based on Distributed Precise Data

A Survey of Global Information Fusion Optimization Algorithm...

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International conference on Wireless Power Transfer (ICWPT)

作者： Zhang, Yifan Liu, Shi North China Power Univ Sch Control & Comp Engn Beijing 102208 Peoples R China

ISBN: (纸本)9789819708758;9789819708734;9789819708727

Electrical Capacitance Tomography (ECT) is a prominent research topic in the field of electrical imaging techniques. However, the accuracy of ECT image reconstruction is limited due to the inherent "soft field" characteristics and ill-posed nature of ECT systems. To address this issue and enhance the precision of ECT reconstruction, we propose an optimization method that leverages the fusion of distributed and accurate data. Specifically, a selected set of precise data from known positions is utilized, and comparative simulations are performed with various imaging algorithms. The experimental findings demonstrate that the data fusion optimization algorithm based on distributed accurate data yields improved image reconstruction quality compared to conventional approaches. By capitalizing on the complementary attributes of both field data and point data, the proposed data fusion algorithm enhances the quality of reconstructed images, enabling the visualization of gas-solid two-phase flow distribution. These results demonstrate the feasibility and efficacy of the point data-based data fusion algorithm, which we believe contributes to the advancement of ECT image reconstruction techniques.

关键词： Capacitance Tomography Multiphase Flow Image Reconstruction Point Data Data Fusion

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TITAN: Test Suite optimization for Highly Configurable Software 10

TITAN: Test Suite Optimization for Highly Configurable Softw...

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10th IEEE International conference on Software Testing, Verification and Validation (ICSTW)

作者： Marijan, Dusica Liaaen, Marius Gotlieb, Arnaud Sen, Sagar Ieva, Carlo Simula Res Lab Fornebu Norway Cisco Syst Lysaker Norway

ISBN: (纸本)9781509060313

Exhaustive testing of highly configurable software developed in continuous integration is rarely feasible in practice due to the configuration space of exponential size on the one hand, and strict time constraints on the other. This entails using selective testing techniques to determine the most failure-inducing test cases, conforming to highly-constrained time budget. These challenges have been well recognized by researchers, such that many different techniques have been proposed. In practice, however, there is a lack of efficient tools able to reduce high testing effort, without compromising software quality. In this paper we propose a test suite optimization technology TITAN, which increases the time-and cost-efficiency of testing highly configurable software developed in continuous integration. The technology implements practical test prioritization and minimization techniques, and provides test traceability and visualization for improving the quality of testing. We present the TITAN tool and discuss a set of methodological and technological challenges we have faced during TITAN development. We evaluate TITAN in testing of Cisco's highly configurable software with frequent high quality releases, and demonstrate the benefit of the approach in such a complex industry domain.

关键词： Test optimization test prioritization highly-configurable software continuous integration testing

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An enhanced WWW-based scientific data visualization service using VRML

An enhanced WWW-based scientific data visualization service ...

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Proceedings VRCAI 2004 - ACM SIGGRAPH International conference on Virtual Reality Continuum and its Applications in Industry

作者： Khattab, Dina Reda Aziz, Amr Hassan Abdel Hussein, Ashraf Saad Scientific Computing Department Fac. of Comp. and Info. Sciences Ain Shams University Egypt

ISBN: (纸本)1581138849

This paper summarizes the progress achieved through the build of a scientific data visualization web service;a client-server system that is designed to acquire visualization requests from users connected to a web browser, perform the visualization process and provide them with the visualization results. Interacting with the visualization results is another issue that has to be taken into account. Providing results using VRML gives the opportunity to navigate the visualization and makes the visualization as an analysis tool rather than just a tool for the presentation of results. The different trade offs and optimization parameters associated with the VRML output are discussed through the presentation of an optimized framework aiming to provide interactive, fast, portable and easy to use services. The framework is tested against different visualization techniques to ensure its adaptability to each of them. An average reduction factor of 87.63323 % is achieved to the final VRML resultant file and an average speed up percentage of 9.2793 % is achieved to the execution time of the visualization process.

关键词： World Wide Web

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OpenTOS: Open-source System for Transfer Learning Bayesian optimization 24

OpenTOS: Open-source System for Transfer Learning Bayesian O...

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33rd ACM International conference on Information and Knowledge Management (CIKM)

作者： Mao, Peili Li, Ke Univ Elect Sci & Technol China Chengdu Sichuan Peoples R China Univ Exeter Exeter Devon England

ISBN: (纸本)9798400704369

In recent years, many studies successfully integrated transfer learning techniques to improve the performance of Bayesian optimization. However, these advanced methods have not been widely adopted in real-world applications due to their inherent complexity and challenges in re-implementation and reproducibility. In this work, we introduce OpenTOS, an open-source system designed for transfer learning in Bayesian optimization. OpenTOS introduces a new implementation paradigm for these methods, allowing users to build different algorithms by choosing algorithmic components, similar to assembling LEGO blocks. Additionally, OpenTOS provides robust data management for supporting transfer learning with data from various sources. We also developed a web interface that allows for interactive building, analysis, and visualization of the optimization process. Powered by LLM, this interface offers a conversational experience, allowing users to interact with the system through natural language dialogue. OpenTOS is available as open-source on GITHUB.

关键词： Bayesian optimization Transfer Learning Automated Configuration Black-box optimization

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Using Power Flow Application Capabilities to Visualize and Analyze US Energy Information Administration Generation Data

Using Power Flow Application Capabilities to Visualize and A...

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IEEE Texas Power and Energy conference (TPEC)

作者： Cook, Jordan Safdarian, Farnaz Snodgrass, Jonathan Overbye, Thomas Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA

ISBN: (纸本)9798350331202

The electrical generator data across the United States. with. a minimum capacity of one megawatt is publicly accessible VIa the US Energy Information Administration form 860 (EIA-860). It is a valuable resource, holding significance for power and energy researchers as well as industry professionals. This paper describes the development and application of a power flow model utilizing the EIA-860 dataset. Beyond the model development process, this research emphasizes the critical role of effective data visualization techniques in communicating essential information about electricity generation. By showcasing the dataset's versatility and analytical power, this paper allows users to make informed decisions to advance power flow and generation adequacy studies.

关键词： EIA-860 data visualization US electrical generators renewable energy public data power systems analysis visualization situational awareness

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