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检索条件"任意字段=Conference on Visualization and Optimization Techniques"

共 1089 条记录，以下是141-150 订阅

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Design metrics and visualization techniques for analyzing the performance of MOEAs in DSE

Design metrics and visualization techniques for analyzing th...

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2011 11th International conference on Embedded Computer Systems: Architectures, Modeling and Simulation, IC-SAMOS 2011

作者： Taghavi, Toktam Pimentel, Andy D. Computer Systems Architecture Group Informatics Institute University of Amsterdam Amsterdam Netherlands

ISBN: (纸本)9781457708008

VMODEX is an interactive visualization tool to support system-level Design Space Exploration (DSE) of MPSoC architectures. It was initially developed to help designers to get insight into the search process of Multi-Objective Evolutionary Algorithms (MOEAs) that are typically used in the DSE process, and facilitates the analysis of the DSE results. In this paper, we extend VMODEX to help algorithm developers as well. Since there are many different MOEAs to search a design space and there is no conclusive answer regarding which algorithm is the best for a specific problem, finding the best optimization algorithm is a big challenge. However, using VMODEX, algorithm developers can easily evaluate and compare the results of different searching algorithms, for a given problem, with respect to their efficiency and effectiveness, in order to find the best optimization algorithm. Then, the best optimization results are delivered to the designers for analyzing the design space exploration process. © 2011 IEEE.

关键词： visualization

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Biofeedback EEG data integration and visualization analytics for endurance exercise practices Data integration and visualization analytics of biofeedback EEG 5

Biofeedback EEG data integration and visualization analytics...

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IEEE International conference on Big Data (IEEE Big Data)

作者： Nawrocka, Monika Lukowski, Marcin Jerzy Kukuczka Acad Phys Educ Dept Sports Theory Katowice Poland Gdansk Univ Technol Gdansk Poland

ISBN: (纸本)9781538627150

Automatic processing of the data in order to determine the status of work and identification of the activity and brain-wave frequencies becomes necessary for the modern systems in the in the diagnosis of biofeedback among athletes. Electroencephalography frequency of brain waves are registered with use of several or even a dozen sensors mounted on a machine with a BTS-Stal Sys-Italy device. However, the sensors can register "noise" values, and therefore we present a different approach based on known techniques of computer science and statistics which allowed us to increase the sensitivity by improving detection performance. Statistic methods allowed an identification of data anomalies, such as extreme, outliers and missing values. Combining information with soft computing tool can distinct the level of electrical activity of the analyzed brain-wave frequencies. visualization analytics and regression method are impressive solution for maintaining high measurement accuracy indicates the effectiveness of this method in optimization of psychophysiological processes among athletes.

关键词： multi-structural analysis regression EEG biofeedback athletes endurance exercise

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Dynamically Visualizing Key Performance Indicators for Informed Business Decision-Making 6

Dynamically Visualizing Key Performance Indicators for Infor...

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6th International conference on Robot Systems and Applications (ICRSA)

作者： Singh, Harbhajan Singh, Manjinder Kumar, Rohit Khan, Shafaq Univ Windsor Windsor ON Canada

ISBN: (纸本)9798400708039

This study aims to enhance the usage and optimization of Key Performance Indicators (KPIs) by addressing their underutilization and lack of proper visualization in decision-making processes. Currently, KPIs are often calculated using static scripts, leading to delays and dependency on the data analysis process. To overcome this challenge, we propose a solution that involves visualizing KPIs alongside the relevant data in a dynamic manner using Tableau dashboards. The project primarily focuses on the sales domain. Furthermore, various statistical techniques have been applied to ensure data reliability by removing outliers. The comprehensive solution developed encompasses meticulous data preprocessing, accurate KPI calculation, and dynamic visualization of both the underlying data and KPIs. By implementing this approach, business stakeholders gain access to a more interactive and intuitive platform for consuming and leveraging KPIs.

关键词： Key Performance Indicators Dynamic visualization Informative Decision-Making

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How originality looks like. Integrating visualization and meta-heuristics to dissect music plagiarism 26

How originality looks like. Integrating visualization and me...

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26th International conference Information Visualisation (IV)

作者： Lettieri, Nicola De Prisco, Roberto Malandrino, Delfina Zaccagnino, Rocco Guarino, Alfonso Natl Inst Publ Policy Anal I-00198 Rome Italy Univ Salerno Dept Comp Sci I-84084 Fisciano SA Italy Univ Foggia Dept Humanities Foggia FG Italy

ISBN: (纸本)9781665490078

Plagiarism is a debated and controversial topic in different fields. For example, in Law, where the subjectivity of the judges that have to pronounce a suspicious case usually lead to long and often unsolved cases, and in Music, where huge amounts of money are invested every year to face and try to solve suspicious cases. In this scenario, the automatic detection of music plagiarism is fundamental by representing useful support for judges during their pronouncements and an important result to avoid musicians spending more time in court than on composing music. This paper shows how the combination of visual analytics and the employment of adaptive meta-heuristics can assist domain experts in judging suspicious cases. Solutions will be presented as part of PlagiarismDetection, a cross-platform tool that leverages text-similarity algorithms, computational intelligence, optimization methods, and visualization techniques to enable new critical approaches to music plagiarism analysis.

关键词： Music plagiarism detection Visual analytics Meta-heuristics Music analysis platforms

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Visualizing Learning Space in Neural Network Hidden Layers 15

Visualizing Learning Space in Neural Network Hidden Layers

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15th International Joint conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) / 11th International conference on Information visualization Theory and Applications (IVAPP)

作者： Cantareira, Gabriel D. Paulovich, Fernando, V Etemad, Elham Univ Sao Paulo Sao Paulo Brazil Dalhousie Univ Halifax NS Canada

ISBN: (纸本)9789897584022

Analyzing and understanding how abstract representations of data are formed inside deep neural networks is a complex task. Among the different methods that have been developed to tackle this problem, multidimensional projection techniques have attained positive results in displaying the relationships between data instances, network layers or class features. However, these techniques are often static and lack a way to properly keep a stable space between observations and properly convey flow in such space. In this paper, we employ different dimensionality reduction techniques to create a visual space where the flow of information inside hidden layers can come to light. We discuss the application of each used tool and provide experiments that show how they can be combined to highlight new information about neural network optimization processes.

关键词： Machine Learning Neural Network visualization Deep Neural Networks

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Enhancing Decision Making in MDO through Interactive Visual Analytics on theWeb 23

Enhancing Decision Making in MDO through Interactive Visual ...

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28th International conference on Web3D Technology (Web3D)

作者： Henriques-Gil, Javier Mejia-Parra, Daniel Simoes, Bruno Vicomtech Fdn Basque Res & Technol Alliance BRTA San Sebastian Spain

ISBN: (纸本)9798400703249

In the context of Multidisciplinary Design optimization (MDO), the use of data visualization and data analytics is critical for the understanding of complex interactions between variables and multi-objective functions in high-dimensional (>3) spaces. Current Visual Analytics (VA) techniques provide powerful interactive tools to analyze general-purpose data in many scientific and business contexts. However, the application of these methods in MDO contexts is less explored. Direct application of existing methods can easily over-whelm the user, mainly due to a) incorrect preprocessing of raw data, b) use of incorrect tools, or c) a combination of the aforementioned factors. To overcome these challenges, this manuscript aims to explore the application of some relevant 2D and 3D visualization techniques in the context of MDO. To achieve this goal, this manuscript presents some of the best state-of-the-art tools and discusses best practices for data processing. In addition, the tools presented are implemented in a client-server web environment where the heavy work (data preprocessing) is carried out by a Python-based server while the visualization tasks are left to the client. Ongoing work includes the integration and deployment of the presented methods in an interactive visualization framework for the analysis of MDO results.

关键词： Visual Analytics MDO visualization Web visualization high-dimensional analysis

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The texture image compression and restoration for 3-D visualization of urban buildings

The texture image compression and restoration for 3-D visual...

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conference on visualization and optimization techniques

作者： Xue, YC Zhang, ZX Zhang, JQ Wuhan Univ Natl Lab Informat Engn Surveying Mapping & Remote Wuhan 430079 Peoples R China

ISBN: (纸本)081944281X

The target of the research is the image compression and restoration of the texture surface of the buildings for 3-D visualization of cities in this paper. A new method based on texture segmentation and the texture's self-similitude is introduced. The character of the method is that it can remove the interference from the source image, which was obtained in the nature environment, and realize image compression in the same time. The method takes advantage of achieving higher compression ratio than other conventional compression methods, and the algorithm is fast enough to satisfy the 3D reconstruction's need. The restoration image's vision effect is true to nature as a whole. The method is more suitable for the wall texture image compression and restoration of 3D visualization in cities than other traditional compression methods.

关键词： texture compression 3D visualization reconstruction texture restoration

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An optimization-based approach to dynamic data transformation for smart visualization 08

An optimization-based approach to dynamic data transformatio...

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13th International conference on Intelligent User Interfaces 2008, IUI'08

作者： Wen, Zhen Zhou, Michelle X. IBM T. J. Watson Research Center

ISBN: (纸本)9781595939876

We are building a smart visual dialog system that aids users in investigating large and complex data sets. Given a user's data request, we automate the generation of a visual response that is tailored to the user's context. In this paper, we focus on the problem of data transformation, which is the process of preparing the raw data (e.g., cleaning and scaling) for effective visualization. Specifically, we develop an optimization-based approach to data transformation. Compared to existing approaches, which normally focus on specific transformation techniques, our work addresses how to dynamically determine proper data transformations for a wide variety of visualization situations. As a result, our work offers two unique contributions. First, we provide a general computational framework that can dynamically derive a set of data transformations to help optimize the quality of the target visualization. Second, we provide an extensible, feature-based model to uniformly represent various data transformation operations and visualization quality metrics. Our evaluation shows that our work significantly improves visualization quality and helps users to better perform their tasks. Copyright 2007 ACM.

关键词： visualization

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A Comparative Study on User Interfaces of Interactive Genetic Algorithm

A Comparative Study on User Interfaces of Interactive Geneti...

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5th International conference on Ambient Systems, Networks and Technologies (ANT) / 4th International conference on Sustainable Energy Information Technology (SEIT)

作者： Farooq, Humera Siddique, Muhummad Tariq Bahria Univ Karachi 75260 Pakistan

This paper provides a review on current developments in the Interactive Genetic Algorithm (IGA). The discussion includes graphical aspects of different applications of IGA. We have reviewed topics like visualization techniques, usage of different machine learning algorithms and mathematical methods in order to get the best solution from IGA. Examples of IGA in this review include the fashion design applications, tree modeling and 3D objects reconstruction. This paper concludes with the current problems and future directions of IGA. (C) 2014 The Authors. Published by Elsevier B.V.

关键词： User Interface Interactive Genetic Algorithm visualization Modeling optimization

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Energy visualization techniques for machine tools in virtual reality 48

Energy visualization techniques for machine tools in virtual...

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48th CIRP International conference on Manufacturing Systems (CIRP CMS)

作者： Pelliccia, Luigi Klimant, Philipp Schumann, Marco Puerzel, Franziska Wittstock, Volker Putz, Matthias Tech Univ Chemnitz Inst Machine Tools & Prod Proc Reichenhainer Str 70 D-09126 Chemnitz Germany Fraunhofer Inst Machine Tools & Forming Technol C Reichenhainer Str 88 D-09126 Chemnitz Germany

Energy-efficient machine tools are becoming a more and more important factor for competitive manufacturing processes. However, there is still a lack of appropriate visualization techniques that effectively support engineers and scientists to consider energy as an additional optimization and decision parameter in machine tool design and manufacturing. Virtual Reality has become an effective technology able to visualize very complex systems, providing the users with a high level of immersion and interactivity. For this reasons, a great deal of research activity has recently been focused on the development of advanced Virtual Reality-based visualization techniques capable of representing the energy flow through the machine tools in a clear and intuitive manner. This paper presents three different Virtual Reality-based energy visualization methods and a comparison of them based on a short user survey. In addition to 2D Billboard and 3D Sankey diagram, an innovative energy visualization technique based on 3D particle systems will be explained in detail. All three visualization methods have been implemented in one Virtual Reality model of a specific machine tool. The energy values have been determined from real measurements carried out directly on the real machine tool. This allowed a comparison of the three methods by means of their usability and understanding. Therefore a short user survey has been conducted in order to determine the advantages and disadvantages as well as improvement potential of the three visualization methods from the user's point of view. (C) 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Virtual reality Machine tool Energy efficiency Energy visualization

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