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检索条件"任意字段=2019 Conference on Visualization and Data Analysis, VDA 2019"

共 1896 条记录，以下是31-40 订阅

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visualization of Covid-19 Pandemic data: An analysis 3

Visualization of Covid-19 Pandemic Data: An Analysis

引用

3rd International conference on Computation, Automation and Knowledge Management, ICCAKM 2022

作者： Vashisth, Rashmi Tripathi, Sudhanshu Goel, Honey Srivastava, Pranjal Amity University AIIT Uttar Pradesh India Amity Univesity DITE Tashkent Uzbekistan

ISBN: (数字)9781665453196

ISBN: (纸本)9781665453196

This paper focuses on data visualization techniques and its efficiency. data visualization refers to pictorial representation of data. Though it is easy to view and understand, the time is yet to come when this technique would see its full utilization. It has a lot of applications in data presentation as well as data exploration, pattern mining and predictive analysis. Its applications would be studied in relation to Covid-19 pandemic. The world is suffering from novel corona virus since December 2019. It has been more than two years and there seems no end to this pandemic. data visualization techniques will be applied using R programming language, it has been widely adopted by statisticians to study and analyse data, so it will be used here as a tool to study data generated by corona virus outbreak in the last two years. However, the scope of the study is limited to data generated in India for number of confirmed cases, deaths and recovered cases. © 2022 IEEE.

关键词： Coronavirus

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Level of Detail Visual analysis of Structures in Solid-State Materials

Level of Detail Visual Analysis of Structures in Solid-State...

引用

25th Eurographics conference on visualization, EuroVis 2023

作者： Thygesen, Signe Sidwall Abrikosov, Alexei I. Steneteg, Peter Masood, Talha Bin Hotz, Ingrid Scientific Visualization Group Linköping University Sweden

ISBN: (纸本)9783038682196

We propose a visual analysis method for the comparison and evaluation of structures in solid-state materials based on the electron density field using topological analysis. The work has been motivated by a material science application, specifically looking for new so-called layered materials whose physical properties are required in many modern technological developments. Due to the incredibly large search space, this is a slow and tedious process, requiring efficient data analysis to characterize and understand the material properties. The core of our proposed analysis pipeline is an abstract bar representation that serves as a concise signature of the material, supporting direct comparison and also an exploration of different material candidates. © 2023 The Authors.

关键词： Topology

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HoloInset: 3D Biomedical Image data Exploration through Augmented Hologram Insets

HoloInset: 3D Biomedical Image Data Exploration through Augm...

引用

IEEE conference on Virtual Reality and 3D User Interfaces (IEEE VR)

作者： Choi, JunYoung Jeong, HaeJin Jeong, Won-Ki UNIST Ulsan South Korea Korea Univ Seoul South Korea

ISBN: (纸本)9781665484022

The extended reality (XR) provides realistic depth perception and huge visualization spaces, which can serve as a powerful workspace for 3D data exploration and analysis. However, a direct adaptation of XR to conventional 3D data exploration tasks is less feasible due to several hardware limitations, such as low screen resolution, dizziness, narrow field of view, etc. In this paper, we propose a novel mixed reality visualization scheme, HoloInset, which combines a conventional visual analytics system and a virtual environment to effectively explore 3D biomedical image data. We also demonstrate the usability of the proposed visualization through a real-world analysis case.

关键词： Human-centered computing Human computer interaction (HCI) Interaction paradigms Mixed / augmented reality

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Determination of the Diversity Index of Applicants to the Ivan Franko National University of Lviv and its Visualisation in GIS 13

Determination of the Diversity Index of Applicants to the Iv...

引用

13th International conference on Advanced Computer Information Technologies, ACIT 2023

作者： Zubyk, Andrii Mishchuk, Nataliia Melnyk, Bohdan Mykhailyshyn, Rostyslav Ivanova, Anna Ivan Franko National University of Lviv Departmen of Geography of Ukraine Lviv Ukraine Ivan Franko National University of Lviv Departmen of Information Systems of Management Lviv Ukraine Ivan Franko National University of Lviv Departmen of Analytical Economy and International Economics Lviv Ukraine West Ukrainian National University S.I. Yuriy Departmen of Finance Ternopil Ukraine

The diversity index of applicants by region of residence was determined based on the analysis of the data of the 2019-2022 admission campaigns to Ivan Franko National University of Lviv. Spatial patterns were identified, and changes in the territory origin of applicants were analyzed in the context of the university's faculties. The data obtained were entered into an attribute database and visualized using GIS functionality. Using the ArcMap package and various methods of data classification, a number of maps with a graduated color scale were created. © 2023 IEEE.

关键词： visualization

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Epidemic data analysis Based on data visualization Technology 5

Epidemic Data Analysis Based on Data Visualization Technolog...

引用

5th IEEE International conference on Computer and Communication Engineering Technology, CCET 2022

作者： Jiao, Shizuo Nanjing Foreign Language School International Department Jiangsu Nanjing210008 China

ISBN: (数字)9781665467353

ISBN: (纸本)9781665467353

The outbreak of COVID-19 at the end of 2019 has had a heavy impact on countries around the world, and its rapid spread has posed a huge challenge to the prevention and control work of all countries. Through data visualization technology, this paper comprehensively analyzes the epidemic data in China from multiple levels, including comparison analysis based on time span and comparison analysis based on countries. At the same time, this paper also analyzes the significant impact of the epidemic on China's national economy from the macro and micro levels. Finally, the linear regression model is used to predict the GDP data during the epidemic period, and the comparison between the real and predicted GDP data during the epidemic period is made. It was found that the epidemic had a great impact on China's national economy in the early stage, but the impact gradually weakened as time went by. Epidemic data analysis based on data visualization technology can provide powerful data support for epidemic prevention and control. © 2022 IEEE.

关键词： COVID-19

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Gamification as a Form of Active and Digital Learning in Accounting Education (2019 - 2024) 11

Gamification as a Form of Active and Digital Learning in Acc...

引用

11th International conference on ICT for Smart Society, ICISS 2024

作者： Go, Naomi Madeleine Riantono, Ignatius Edward Cassandra, Cadelina School of Information Systems Bina Nusantara University Information Systems Department Jakarta Indonesia School of Accounting Bina Nusantara University Accounting Department Jakarta Indonesia

ISBN: (纸本)9798350389654

Research in gamification has significantly increased over the last five years. Many have proved the positive effects of gamification usage in education, especially in fostering students' motivation and learning outcomes. However, gamification research done in the context of accounting education remains limited than research done in other similar fields. This paper uses bibliometric analysis to explore the current state of gamification research in accounting education using data gathered from Scopus and Google Scholar. Initial extraction using specified query and publication year limitation of 2019 - 2024 in Harzing's Publish or Perish yielded a grand total of 1,045 papers. The search was done on 27th of May 2024. The papers are then manually reviewed based on their language and their relevance to the topic of the paper. From the initial number of papers, only 138 papers are written in English and are actually discussing gamification usage in the context of accounting education. The metadata of these papers are then visualized using VOSviewer. While gamification in general education research has flourished, research in gamification in accounting education specifically has only been increasing by little up to 2022 before reaching the peak in 2023. Some of the keywords that have high occurrences are game-based learning, serious games, learning, higher education, and teaching. Using the density visualization from VOSviewer, research gaps were found on terms such as academic achievements, technology acceptance model, and financial accounting. © 2024 IEEE.

关键词： Active learning

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Research on Computer Big data Industrial Structure Adaptation Simulation System 6

Research on Computer Big Data Industrial Structure Adaptatio...

引用

2023 IEEE 6th International conference on Information Systems and Computer Aided Education, ICISCAE 2023

作者： Chao, Wang Weike, Lai Xuxi, Yin Zhe, Wang Guangzhou Huashang Vocational College Guangdong Guangzhou511300 China

ISBN: (纸本)9798350313444

This system is an educational big data industrial structure adaptation simulation system integrating big data technology, information technology, data visualization technology and automation technology. It is a computer science decision support system aiming at automatic collection, intelligent storage, scientific decision making and intelligent application. A two-level resource scheduling mechanism is constructed to decouple the extended heterogeneous application of teaching resource scheduling and teaching resource allocation. Encapsulate applications and isolate running environments through lightweight container technology to achieve dynamic application expansion and deployment management. It is found that the data collection and analysis of teaching resources of the whole big data industry structure ADAPTS simulation system based on open protocol. © 2023 IEEE.

关键词： adaptation simulation Big data big data deep learning industrial structure node centrality

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Epidemic data visualization analysis of the Covid-19 Development in China 1

引用

4th International conference on Innovative Computing, IC 2021

作者： Li, Jianqiang Wang, Jingnan Xiong, Chengyao Wang, Yanan Pei, Yan Faculty of Information Beijing University of Technology Beijing100124 China Computer Science Division University of Aizu Aizuwakamatsu965-8580 Japan

ISBN: (数字)9789811642586

ISBN: (纸本)9789811642579

Corona Virus Disease 2019 (Covid-19) is a war between all humans and viruses. The outbreak of the Covid-19 epidemic has produced a large amount of data related to case information. Current related visualization studies are difficult to analyze these data, so a visualization analysis method for the Covid-19 epidemic situation in China is proposed. In this study, we present an effort to compile and analyze epidemiological outbreak information of Covid-19 based on the epidemic news and data in China after January 10, 2020. Through the analysis of data, it is concluded that the Covid-19 has the characteristics of a high infection rate and rapid transmission rate, and it also reflects the great contribution made by the Chinese government in controlling the epidemic. This study can obtain the hidden value behind the data, facilitate the understanding of the results of data analysis, and provide a reference for the government. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： data visualization

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Visual Analytic Study on Vehicle Target Detection Driven by CiteSpace 7

Visual Analytic Study on Vehicle Target Detection Driven by ...

引用

7th International conference on Computer Information Science and Application Technology, CISAT 2024

作者： Wang, Hongwei Ren, Shuaitao Zhou, Hua Kong, Chuang Southwest Forestry University College of Big Data and Intelligent Engineering Kunming China

ISBN: (纸本)9798350375107

As a critical issue in computer vision and image processing, vehicle target detection plays a vital role in boosting vehicle recognition accuracy and information extraction efficiency, directly influencing applications such as autonomous driving, traffic monitoring, and safety management. This study employs CiteSpace tool to conduct an extensive visualization analysis of 2,641 scientific publications on vehicle target detection from the Web of Science Core Collection between 2019 and 2024, aiming to uncover research dynamics, core topics, collaboration networks, and future trends in this field. By designing a meticulous search strategy, we focus on the most authoritative SCI and SSCI literature and utilize CiteSpace version 6.3.1 for in-depth data mining and analysis. The findings reveal that deep learning, feature extraction, autonomous driving, and intelligent sensing technologies hold central positions in vehicle target detection, with significant contributions from authors like Li, Wei. A prolific research team, led by Yang, Jian, Zhang, Yu, and He, You, has emerged. Keyword analysis discloses that 'object detection,' 'deep learning,' and 'feature extraction' are the most recurrent research foci, while 'aerial vehicle' constitutes a persistent research hotspot, indicating the growing importance of drone technology and novel deep learning models, such as 'Swin Transformer,' in enhancing detection efficiency and intelligence. Furthermore, the study identifies auto-target recognition and detection techniques in low-observable environments as key areas of interest, with a technological development trend leaning towards more intelligent and efficient solutions. Integration of drone systems and interdisciplinary technology fusion are expected to significantly advance vehicle target detection technology. This research not only quantifies the growth of research activities but also predicts potential future directions through keyword burst analysis, providing valuable in

关键词： Drones

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Design of forest fire risk meteorological forecast model based on data superposition

Design of forest fire risk meteorological forecast model bas...

引用

2023 International conference on Electronic Information Engineering and data Processing, EIEDP 2023

作者： Wang, Jian Wang, Lei Zhang, Danchuang Xu, Jianwen Tang, Mingshan Weng, Xueling Meteorological Administration of Dalian No. 2 Meteorological Street Zhongshan District Dalian116001 China

ISBN: (纸本)9781510666160

Using the data of automatic weather observation station, intelligent grid forecast, forest vegetation underlying surface, this paper selects meteorological factors such as temperature, precipitation, wind speed, relative humidity as dynamic factors, and the vegetation underlying surface data matching the intelligent grid based on geographic information as static factors. A 1km×1km refined forest fire weather grade forecast model based on data superposition was built, and GIS spatial analysis and visualization technology was applied to the construction of forest fire risk model and the production of fire risk meteorological grade forecast graphics. The business application of this research is of great significance to the establishment of a complete forest fire prevention system in Dalian, the protection of the natural environment of the forest, the maintenance of sustainable ecological development and the safety of human life and property. © 2023 SPIE.

关键词： Vegetation

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