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检索条件"任意字段=Conference on Visual Data Exploration and Analysis"

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Enhanced Underwater Object Detection Using Deep Neural networks

Enhanced Underwater Object Detection Using Deep Neural netwo...

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International conference on Computing and Networking Technology (ICCNT)

作者： I. R. Oviya Shaik Atheeq Rasool Balu Bhasuran Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India Bakar Computational Health Sciences Institute (BCHSI) University of California San Francisco (UCSF) California United States

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

The identification of marine animals has become a significant area of data processing and analysis due to the growing volume of underwater visual data and deep sea exploration. The imperative nature of safeguarding the environment underscores the significance of this undertaking; nonetheless, challenges persist due to factors such as intricate underwater scenery, subpar image and video clarity, and the diverse range of motions shown by marine organisms. To solve these challenges, this study used deep learning algorithms to recognize certain marine species and indicate their presence in submitted photos and videos using bounding boxes. The primary objective is to provide practical techniques for identifying marine species, so offering essential support for more research in this field. The study made considerable advancements in detection speed and mean average precision (mAP) for marine species identification by using the key deep learning frameworks, YOLOv3, YOLOv8, and Faster-RCNN. This study project not only resolves the present issues with marine animal detection, but it also lays the foundation for future studies aimed at understanding and safeguarding the delicate underwater ecosystem.

关键词： Deep learning YOLO visualization Ecosystems Artificial neural networks data processing Organisms Object recognition Marine animals Motion control

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New Progress and Enlightenment for the Study on Knowledge Building in Taiwan in the Past Two Decades-Based on Systematic Literature Method 24

New Progress and Enlightenment for the Study on Knowledge Bu...

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24th IEEE International conference on Computer Supported Cooperative Work in Design (IEEE CSCWD)

作者： Ban, Wenjing Hu, Qiong Jin, Xinquan Jiang, Qiang Zhao, Wei Northeast Normal Univ Sch Informat Sci & TechnoL Dept Jilin Jilin Peoples R China

ISBN: (纸本)9781728165974

Knowledge building emphasizes allowing students to participate in the collaborative knowledge building process of proposing and improving ideas, providing a new way of teaching and learning for schools. In order to investigate the main contents and ideas of knowledge building research in Taiwan over the past two decades, this study selected 37 English literature from web of science, ACM, and IEEE databases. Through the use of content analysis and visualization analysis, an overview of the researcher, high-frequency keywords, research subjects, sources of experimental data, experimental auxiliary platforms, and analysis methods are presented. Finally, we drew the following three enlightenments: the influence of collaborative learning, students' personality and participation roles on students' collaborative knowledge building, and the deep integration of emerging technologies and classroom teaching are proposed, in order to provide directions for the theoretical research and practical exploration of later knowledge building.

关键词： Knowledge Building Literature Review visual analysis Collaborative Learning

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An analysis of Feature Detectors Usage in the Task of Lunar Crater Detection 6

An Analysis of Feature Detectors Usage in the Task of Lunar ...

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6th IEEE International conference on Actual Problems of Unmanned Aerial Vehicles Development, APUAVD 2021

作者： Kuzmenko, Nataliia Ostroumov, Ivan National Aviation University Innovative Project Managment Department Kyiv Ukraine

ISBN: (纸本)9781665438223

Interest to Lunar surface exploration is growing constantly. A lot of automatic missions have been successfully completed and a series is planned for next decade. Precise navigation of Lunar landing module in automatic mode is one of the most complicated tasks of any Lunar mission. visual based navigation added by Inertial reference system is a key method for starship landing in unknown environment. In the paper we analyze the most frequently used feature detectors in the task of Lunar crater detection. visual based navigation methods are based on features detection in image or radio altimeter data and their usage during spacecraft localization. Accuracy of feature detection specifies positioning performance of a total system. Speeded Up Robust Features detector, Maximally Stable Extremal Regions detector, Harris detector, and Minimum Eigenvalue detector have been studied for usage with laser altimeter data of Lunar surface. © 2021 IEEE.

关键词： Lunar landing

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Research on Forest Landscape based on Big data and CiteSpace visualization analysis

Research on Forest Landscape based on Big data and CiteSpace...

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3D Immersion, Interaction and Multi-sensory Experiences (ICDIIME), International conference on

作者： Xinya Lin Han Xu Jianwen Dong Fujian Agriculture and Forestry University Fuzhou China

In order to fully grasp the development and research status of forest landscape ecology, this paper analyzed the literatures related to forest landscape from 1982 to 2020 on CNKI and Wanfang data Service platform. Based on Python language environment, this paper uses Scrapy framework to extract literature data, and uses CiteSpace visual analysis software to draw knowledge map. It analyzes and visualizes the amount of articles published, research groups, research hotspots and trends. The results showed that: (1) the development process of forest landscape ecology research was divided into three stages: initial exploration period from 1982 to 2002, rapid development period from 2003 to 2008, and stable development period from 2009 to present. (2) The number of scholars in this field is relatively large and scattered, and the influential core author group and institutional group has not yet been formed; (3) The hot research directions are forest landscape pattern, sustainable development of forest, and forest landscape planning and design. (4) The focus of forest landscape ecology research has gradually shifted from geographic information system to eco-tourism, urban forest and planning and design, and the research has become specialized and meticulous.

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visualization Research of Big data in Higher Education Based on the Web of Science

Visualization Research of Big Data in Higher Education Based...

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International conference on Electronics, Communications and Information Technology (CECIT)

作者： Linwei She Liqi Lai International Business School Jinan University Zhuhai P.R. China GBA and B&R International Joint Research Center for Smart Logistics Jinan University Zhuhai P.R. China

With the rapid development of information technology such as artificial intelligence and cloud computing, big data of higher education has received a lot of attention. This article uses the visual software Citespace from 2013 to 2022 to research higher education in big data in the Web of Science database. Through visual analysis, and uses of the keyword co-occurrence function and cluster analysis function, this article clarifies the main research directions, key documents, hotspots, and limitations in the field of big data in higher education, education big data technology, learning behavior analysis, learning style exploration, education resource management, and personalized teaching reform are the development direction and research hotspots. This article can provide readers and other researchers with some references and help.

关键词： visualization Education Systems architecture Big data Software Complexity theory Behavioral sciences

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Exploring the mechanism of adjustment formula related to Siwu Decoction in the treatment of polycystic ovary syndrome based on network pharmacology

Exploring the mechanism of adjustment formula related to Siw...

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IEEE International conference on Big data

作者： Tongxuan Ouyang Yu Chen Yan Wang Ying Xie Haotian Li Min Zhao School of Basic Medical Sciences Hubei University of Chinese Medicine Wuhan China School of Traditional Chinese Medicine Hubei University of Chinese Medicine Wuhan China Information Engineering College Hubei University of Chinese Medicine Wuhan China

ISBN: (数字)9798350362480

ISBN: (纸本)9798350362497

OBJECTIVE: Polycystic ovary syndrome (PCOS) is regarded as one of the most common endocrine-metabolic disorders among women of reproductive age, characterized by the complexity of its etiology, the interplay of multiple factors, and its polygenic nature. This paper utilizes the rigorous research methodology of traditional Chinese medicine network pharmacology to conduct an in-depth exploration of the potential mechanisms of action of modified Siwu Decoction in the treatment of PCOS. METHODS:In this study, we first identified the key components of Siwu Decoction using the TCMSP database, and subsequently conducted a meticulous screening of potential targets utilizing the SwissTargetPrediction database. Relevant targets for polycystic ovary syndrome (PCOS) were comprehensively collected from multiple authoritative databases including GeneCards, Therapeutic Target database, OMIM, DisGeNET, and The Pharmacogenomics Knowledgebase. Subsequently, the overlapping portion of these two datasets was visually presented through a Venn diagram and imported into the String database to construct a protein-protein interaction network. Using the plugin function of Cytoscape 3.10.1 software, we conducted an in-depth analysis of this network and successfully identified ten core targets. Furthermore, we employed tools provided by the DAVID database and the Microbiotics website to perform an extensive Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis on the overlapping genes. Additionally, to validate the specific interaction mechanism between drug components and targets, we conducted molecular docking experiments using AutoDockTools 1.5.6 ***: After analysis, we found that there are 290 common points between drug targets and disease-related targets. Further analysis using molecular docking technology revealed that the top ten crucial targets exhibit excellent intermolecular binding energy with drug active i

关键词： Drugs Proteins Genomics Encyclopedias Ontologies Pharmacology Software Complexity theory visual databases Diseases

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visual analysis of Graph Algorithm Dynamics 21

Visual Analysis of Graph Algorithm Dynamics

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14th International Symposium on visual Information Communication and Interaction, VINCI 2021

作者： Burch, Michael Wallner, Günter Van De Wetering, Huub Rooks, Freek Morra, Olof Eindhoven University of Technology Eindhoven Netherlands

ISBN: (纸本)9781450386470

In this paper we describe a visualization tool for representing the dynamics of graph algorithms. Toward this end, we designed a web-based framework which illustrates the dynamics as time-to-space mappings of dynamic graphs. Such static diagrams of dynamic data have the benefit of being able to display longer time spans in one view, hence supporting the observer with comparison tasks. The tool can show details about how an algorithm traverses a graph step-by-step in a static and animated fashion, for graph algorithm exploration as well as educational purposes. The animation together with the time-to-space mapping forms an overview-and-detail approach. By using flight carrier data from the U.S. Department of Transportation we show the usefulness of our interactive visualization for conveying graph algorithm dynamics. © 2021 ACM.

关键词： Mapping

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A-Map: Interactive visual exploration of Intercity Accessibility Dynamics Based on Railway Network data

A-Map: Interactive Visual Exploration of Intercity Accessibi...

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Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： Kaichen Nie Hanning Shao Yuchu Luo Min Tian Hao Wu Wei Zeng Xin Fu Xiaoru Yuan Key Laboratory of Machine Perception (Ministry of Education) School of AI Peking University Hong Kong University of Science and Technology Guangzhou Chang’an University National Engineering Laboratory for Big Data Analysis and Application Peking University

ISBN: (数字)9798350393804

ISBN: (纸本)9798350393811

Railway transportation is closely linked to everyday lives while also aiding domain experts in analyzing national or regional development. However, discrepancies between travel time reduced by railways and actual distance pose challenges in visualizing the accessibility. Existing methods either struggle to simultaneously depict the accessibility relationships among all cities or disregard genuine geographical positions, leading to spatial cognitive confusion. In this work, we propose a novel approach to balance between the geographical positions and travel time between cities. We construct linear cartograms to represent accessibility while preserving better local railway network structures compared with existing methods. We further propose the A-Map system, enabling users to interactively explore the extensive development of China’s railway system over decades. We validate the effectiveness of our proposed layout algorithm from qualitative metric evaluation and illustrate the applicability of our system with results.

关键词： Measurement visualization Heuristic algorithms Urban areas Layout Transportation data visualization

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VarCopy: a visual Exploratory data analysis Platform for Copy Number Variation Studies 24

VarCopy: a Visual Exploratory Data Analysis Platform for Cop...

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24th International conference Information visualisation (IV)

作者： Bove, Fabio Mandreoli, Federica Martoglia, Riccardo Pisi, Valentino Taccioli, Cristian Vischioni, Chiara Univ Modena & Reggio Emilia FIM Modena Italy Univ Padua MAPS Padua Italy

ISBN: (纸本)9781728191348

The study of such a complex phenomenon as cancer, which depends on several but unexplored and unclear factors, needs new ways to visualize, analyze and combine different data both on species characteristics and genes function. To this respect, we propose a novel platform, named VarCopy, supporting visual Exploratory data analysis (EDA) in the context of Copy Number Variation (CNV) data. The platform will be publicly available as a web application soon, and is, to our best knowledge, the first tool allowing visual, interactive exploration and analysis of the CNV landscape of multiple species, allowing the identification of new target genes that might be useful for biomedical research.

关键词： Copy Number Variations interactive visualization Exploratory data analysis scalable data science data analysis models

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What Happened While I Was Away? Leveraging visual Transition Techniques to Convey Robot States in Multi-robot Teleoperation 13th

What Happened While I Was Away? Leveraging Visual Transition...

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13th International conference on Social Robotics (ICSR) - Robotics in Our Everyday Lives

作者： Seo, Stela H. Young, James E. Kyoto Univ Grad Sch Informat Kyoto Japan Univ Manitoba Comp Sci Winnipeg MB Canada

ISBN: (纸本)9783030905255;9783030905248

In real-time multi-robot teleoperation, the operator faces a challenge of maintaining sufficient awareness of all robots in a team. We propose a novel approach to supporting operators, in instances where operators switch between controlling or observing multiple robots in a team. Just as how cinema or video games use visual and narrative techniques to support viewers when transitioning between scenes, we argue that multi-robot teleoperation interfaces should likewise leverage this transition time to provide pertinent information. That is, when switching to a new robot, the interface should take the opportunity to bring the operator up to speed, highlighting what happened while they were away, what current robot states are, and what specifics of the new robot being controlled are;thus, supporting situational awareness. In this paper, we outline this agenda and present our initial exploration and analysis of this informative visual transition.

关键词： Teleoperation Multi-robot teleoperation Control transition Interface design

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