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检索条件"任意字段=IEEE Information Visualization Conference/IEEE Visualization Conference"

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The Use Leontief Input-Output Model to Estimate the Resource and Value Added

The Use Leontief Input-Output Model to Estimate the Resource...

引用

2022 International conference on Smart information Systems and Technologies, SIST 2022

作者： Kerimkhulle, Seyit Alimova, Zhanar Slanbekova, Assylzat Baizakov, Nauryz Azieva, Gulmira Koishybayeva, Meruyert L.N.Gumilyov Eurasian National University Nur-Sultan Kazakhstan

ISBN: (数字)9781665467902

ISBN: (纸本)9781665467902

The paper highlights that, the use of input-output theory and method and system dynamics enable the construction of the direct and dual Leontief models, and the realization of these models in the AnyLogic software environment, which produce output data -value estimation and prediction, simulation, and visualization of the results of computer experiments. And on the basis of analysis of the data of the table of inter-sectoral relations of the Republic of Kazakhstan in USD billion for 2019, from the OECD report, it justified, the budget of the distribution system of inputs and outputs and the budget of the generation system of production costs and value added in the use of resources are harmonized, in particular, the sum of outputs of 1.270 units or 82.629 billion and the sum of inputs of 3.000 units or 189.984 billion, facilitate equilibrium growth of the national economy of the Republic of Kazakhstan over the short-term development period of 4.270 physical output units, or USD 276.395 billion. © 2022 ieee.

关键词： Data visualization

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visualization of Virtual Devices in the Design and Operation of Automation Systems and Tools

Visualization of Virtual Devices in the Design and Operation...

引用

2021 ieee International conference "Quality Management, Transport and information Security, information Technologies", T and QM and IS 2021

作者： Desyatirikova, Elena N. Efimova, Olga E. Akimov, Valery I. Polukazakov, Aleksey V. Voronezh State Technical University Voronezh Russia

ISBN: (纸本)9781665433020

The article deals with the problems of visualization of measurement channels of automated systems by developing virtual devices. Programs for emulators of such devices and algorithms for their operation using a high-level language have been developed. Virtual facilities are combined into a single measuring and computing complex with the ability to transfer information between them. The hardware and software tools of its functioning are considered and implemented. © 2021 ieee.

关键词： visualization

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Federated Privacy-Preserving visualization: A Vision Paper

Federated Privacy-Preserving Visualization: A Vision Paper

引用

ieee International conference on Big Data

作者： Ye Tao Anand D. Sarwate Sandeep Panta Sergey Plis Vince D. Calhoun Dept. of Electrical and Computer Engineering Rutgers The State University of New Jersey Piscataway USA TReNDS Center Georgia State Georgia Tech Emory Atlanta USA

ISBN: (数字)9798350362480

ISBN: (纸本)9798350362497

Federated learning (FL) for distributed data has gained significant attention by enabling model training on local data without transferring it to a central system. While this approach protects sensitive information, risks of data leakage still persist, necessitating the integration of privacy-preserving techniques such as differential privacy. In many FL applications, tasks like exploratory data analysis or tracking and monitoring data that change over time are essential. For these purposes, analysts rely on data visualizations to make decisions or draw conclusions. This vision paper emphasizes the importance of federated privacy-preserving visualization and outlines a general pipeline for its implementation. We discuss the challenges of integrating federated visualizations with differential privacy and demonstrate the feasibility of this approach through examples, such as federated privacy-preserving boxplots, scatterplots, and correlation visualizations in neuroimaging. This highlights the need for further research in this promising field.

关键词： Training Neuroimaging Privacy Differential privacy visualization Pipelines Data visualization Distributed databases National Institutes of Health Monitoring

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Analyzing and Visualizing Regional Preferences Using News Articles and Soccer Player Data

Analyzing and Visualizing Regional Preferences Using News Ar...

引用

ieee Global conference on Consumer Electronics (GCCE)

作者： Tatsuki Matsuba Yuanyuan Wang Yamaguchi University Ube Japan

ISBN: (数字)9798350355079

ISBN: (纸本)9798350355086

With the widespread broadcasting of soccer matches and the remarkable achievements of Japanese players overseas, interest in international and domestic soccer has increased greatly. To maintain and increase soccer enthusiasm, matching players to individual preferences is crucial. However, collecting comprehensive player information and finding suitable matches is challenging. This study focuses on regional and player characteristics by extracting distinctive terms from news articles and calculating their similarities. We propose a methodology to identify players matching specific regions and visualize them on a map, supporting personal recommendations and regional influence assessments. The effectiveness of this visualization interface is evaluated using SUS.

关键词： Data visualization Broadcasting Feature extraction Internet Data mining Consumer electronics Sports

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Teaching Programming Concepts with visualization: A Systematic Overview and Lessons Learned

Teaching Programming Concepts with Visualization: A Systemat...

引用

ieee Integrated STEM Education conference (ISEC)

作者： Maryam Jalalitabar Yang Wang Qian Hu Department of Computer Science California State University Northridge Northridge USA Department of Math & Computer Science La Salle University Philadelphia USA

ISBN: (数字)9798350352801

ISBN: (纸本)9798350352818

There have been increasing efforts in recent years to apply visualization tools for teaching CS/IT courses. Particularly, the abstractness of programming concepts can be mitigated with visualization tools by providing a WYSIWYG (“what you see is what you get") experience. visualization tools for programming can provide diverse coverage ranging from basic programming concepts such as variables to advanced concepts in data struc-tures and algorithms. Given the varieties of the tools and the fast software updates, we are motivated to identify visualization tool(s) that are current, supportive (e.g., in both breadth and depth of coverage), and friendly (e.g., no learning curve) to facilitate the teaching of programming. Motivated by this, this paper provides a systematic overview of visualization tools according to four defined metrics. Moreover, we share our best-practices in adoption: a hybrid approach for selecting a combination of visualization tools in an introductory programming course and a data structures course. In addition, we discuss students' feedback, our strategies and lessons learned in adopting visualization for teaching programming.

关键词： Systematics Education Software algorithms Data visualization Data structures Software Distance measurement

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Digital Real Scene Intelligent Inspection Platform for Power Distribution Ring Network Based on Artificial Reality 10

Digital Real Scene Intelligent Inspection Platform for Power...

引用

10th ieee Joint International information Technology and Artificial Intelligence conference, ITAIC 2022

作者： Yang, Jingwei He, Yangqing Miao, Zhenlin Xu, Xinqiang Li, Kai Jiaxing Power Supply Company State Grid Jiaxing China Tongji Zhejiang College Department of Electronic and Information Engineering Jiaxing China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

Affected by environmental factors of Jiaxing, which is a city located in the southeast coast of China with humid climate and large annual and daily temperature difference, the local power distribution ring network equipment often encounter a variety of problems in daily operation. Thus, it is of great practical significance to provide targeted digital solutions for those problems, help the operation and maintenance personnel to reduce the workload of operation and maintenance. At present, although there has been a lot of research on the effective fault identification and inspection of distribution network, there are few studies on how to integrate the work involved in inspection and its visualization functions into a system, and how to build inspection platforms. In this paper, a digital real scene intelligent inspection platform for power distribution ring network based on artificial reality (AR) has been designed and discussed, which adopts various intelligent sensing terminals to realize remote perception of the operation status of ring network, automatically carry out simple operation and maintenance through intelligent control terminals and auxiliary systems, and realize the improvement of quality and efficiency of power distribution ring network system. © 2022 ieee.

关键词： Inspection

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Exploring Written Artefacts in Virtual Reality – Potential and Challenges for Creating Immersive Tools and Applications

Exploring Written Artefacts in Virtual Reality – Potential ...

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Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), ieee conference on

作者： Jenny Gabel Ann Lauren Osthof Christof Berns Jost Eickmeyer Kaja Harter-Uibopuu Johann Anselm Steiger Frank Steinicke University of Hamburg State Library Eutin

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

In this work, we introduce two interactive virtual reality (VR) applications, so-called Immersive Inscribed Spaces, for researching Written Artefacts in our interdisciplinary projects. We discuss the potential of using VR to access historical cultural heritage sites and how the immersive experience facilitates individual perception of Written Artefacts. For this novel context, we explore potential use cases and present our implemented features for the VR applications. Furthermore, we examine two major challenges: (1) Spatial interaction and (2) visualization of spatial information. Finally, we describe how we integrated improvements into our applications, based on our research results.

关键词： visualization Three-dimensional displays Systematics Interactive systems conferences Collaboration Immersive experience Cultural differences Global communication History

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Revisiting Street-to-Aerial View Image Geo-localization and Orientation Estimation

Revisiting Street-to-Aerial View Image Geo-localization and ...

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ieee Winter conference on Applications of Computer Vision (WACV)

作者： Zhu, Sijie Yang, Taojiannan Chen, Chen Univ North Carolina Charlotte Charlotte NC 28223 USA

ISBN: (纸本)9780738142661

Street-to-aerial image geo-localization, which matches a query street-view image to the GPS-tagged aerial images in a reference set, has attracted increasing attention recently. In this paper, we revisit this problem and point out the ignored issue about image alignment information. We show that the performance of a simple Siamese network is highly dependent on the alignment setting and the comparison of previous works can be unfair if they have different assumptions. Instead of focusing on the feature extraction under the alignment assumption, we show that improvements in metric learning techniques significantly boost the performance regardless of the alignment. Without leveraging the alignment information, our pipeline outperforms previous works on both panorama and cropped datasets. Furthermore, we conduct visualization to help understand the learned model and the effect of alignment information using Grad-CAM. With our discovery on the approximate rotation-invariant activation maps, we propose a novel method to estimate the orientation/alignment between a pair of cross-view images with unknown alignment information. It achieves state-of-the-art results on the CVUSA dataset.

关键词： Training Measurement visualization Computer vision conferences Pipelines Estimation

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visualization in Data Science VDS@ KDD 2022 22

Visualization in Data Science VDS@ KDD 2022

引用

28th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KKD)

作者： Plant, Claudia Hubig, Nina C. Shao, Junming Ottley, Alvitta Gou, Liang Moeller, Torsten Perer, Adam Lex, Alexander Crisan, Anamaria Univ Vienna Fac Comp Sci Ds UniVie Vienna Austria Clemson Univ Clemson SC USA Univ Elect Sci & Technol China Sch Comp Sci & Engn Chengdu Peoples R China Washington Univ St Louis St Louis MO USA Robert Bosch Res & Technol Ctr Sunnyvale CA USA Carnegie Mellon Univ Pittsburgh PA 15213 USA Univ Utah Salt Lake City UT USA Tableau Res Seattle WA USA

ISBN: (纸本)9781450393850

Data science is the practice of deriving insight from data, enabled by modeling, computational methods, interactive visual analysis, and domain-driven problem solving. Data science draws from methodology developed in such fields as applied mathematics, statistics, machine learning, data mining, data management, visualization, and HCI. It drives discoveries in business, economy, biology, medicine, environmental science, the physical sciences, the humanities and social sciences, and beyond. Machine learning and data mining and visualization are integral parts of data science, and essential to enable sophisticated analysis of data. Nevertheless, both research areas are currently still rather separated and investigated by different communities rather independently. The goal of this workshop is to bring researchers from both communities together in order to discuss common interests, to talk about practical issues in application-related projects, and to identify open research problems. This summary gives a brief overview of the ACM KDD Workshop on visualization in Data Science (VDS at ACM KDD and ieee VIS), which will take place virtually on Aug 14-18, 2022 (Held in conjunction with KDD'22). The workshop website is available at: http://***/2022/

关键词： Data mining

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Dual-Branch Point Cloud Feature Learning for 3D Object Detection

Dual-Branch Point Cloud Feature Learning for 3D Object Detec...

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2022 ieee International conference on Systems, Man, and Cybernetics, SMC 2022

作者： Lun, Hengsheng Xue, Jian Lu, Ke Univ. of Chinese Academy of Sciences School of Engineering Science Beijing China China Three Gorges University Colg. of Computer and Information Tech Yichang China

ISBN: (数字)9781665452588

ISBN: (纸本)9781665452588

Incomplete feature information is a key problem that limits 3D point cloud object detection and its applications. Many state-of-the-art detectors address this problem from different perspectives, but a comprehensive solution has not yet been obtained. In this paper, a solution is proposed that consists of two branches, one for channel-wise local feature learning and one for spatial-wise global feature learning. The combination of the local features, global contextual features, channel-wise attention features, and spatial attention features of the 3D point cloud is obtained through the two branches. Specifically, a generic spatial self-attention model is proposed that uses skeleton convolution to enhance the extraction of spatial features and combines it with a self-attention mechanism to improve the learning of global features. Further, the proposed skeleton attention mechanism focuses on object contour and rotation invariance of the point cloud. Through sufficient experimental validation, all module proposed in this paper are shown to have a substantial effect on performance and the visualization results demonstrate the importance of our approach. © 2022 ieee.

关键词： Object detection

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