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

共 54083 条记录，以下是4721-4730 订阅

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Patient 3D Data Visualisation with AR-based Interactive Technology for Brain MRI

Patient 3D Data Visualisation with AR-based Interactive Tech...

引用

ieee conference on Multimedia information Processing and Retrieval (MIPR)

作者： Vishakha Pareek Shreyansh Sharma Vibhor Singh Shashwat Singh Technology Innovation Hub - iHub Drishti Indian Institute of Technology Jodhpur Jodhpur India Department of Computer Science and Engineering Indian Institute of Technology Jodhpur Jodhpur India Department of Computer Science and Engineering JECRC University Jaipur India

ISBN: (数字)9798350351422

ISBN: (纸本)9798350351439

Effective 3D patient data visualization for brain MRI is required in surgical planning and in-situ guidance during brain tumor resection. Traditional 2D displays do not possess depth perception and are poor in understanding complex anatomical structures being displayed in 3D. In this work, an interactive visualization system based on augmented reality is presented, which provides an intuitive and truly immersive way to visualize and interact with 3D brain MRI data as preoperative planning and in-situ guidance by a surgeon during tumor resection procedures of the brain. In this work, we propose a system where AR Devices can render patient-specific 3D brain models, reconstructed from MRI data, in a spatially registered way to the surgical field. These 3D virtual models can be interacted by the surgeon, through the natural use of controls, to study the spatial relationship of critical structures such as tumors, ventricles, and functional brain regions. Advanced volume rendering and multi-modal data fusions are used in creating photorealistic 3D visualizations with high anatomical detail.

关键词： Solid modeling Three-dimensional displays Navigation Magnetic resonance imaging Data visualization Brain modeling Planning Neurosurgery Augmented reality Tumors

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Immersive 3D Digital Twin for Collaborative Hydrogen Pipeline Simulation and visualization: A Project Description

Immersive 3D Digital Twin for Collaborative Hydrogen Pipelin...

引用

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

作者： Muskan Sarvesh Ryan Kang Mehdi Marzban Isaac Cho Simon Park Ron Hugo Kangsoo Kim Department of Electrical and Software Engineering University of Calgary Department of Computer Science Utah State University Department of Mechanical and Manufacturing Engineering University of Calgary

ISBN: (数字)9798350374490

ISBN: (纸本)9798350374506

This paper introduces our plan to develop a 3D pipeline engineering tool, building upon our in-house web-based Pipeline Reliability and Integrity Management Engineering tool (PRIME), to address the limitations of traditional 2D data visualization in pipeline management. Leveraging immersive technologies, such as Virtual Reality (VR), the tool enhances simulation capabilities, introducing features like multi-user communication, digital twin integration, and virtual site visits. The study proposed in the paper aims to evaluate the tool's potential by comparing it to the existing web application, focusing on immersive training, collaboration tools, 3D data visualization, and environmental conditions in the pipeline maintenance workflows. This research aspires to contribute to the field of immersive technologies in pipeline operations, offering a comprehensive understanding of their impact on efficiency and impactful decision-making.

关键词： Training Three-dimensional displays Pipelines Hydrogen Data visualization Collaboration Virtual reality

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Exploring Interaction Paradigms for Performing Medical Image Segmentation Tasks in Virtual Reality

Exploring Interaction Paradigms for Performing Medical Image...

引用

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

作者： Zachary Jones Simon Drouin Marta Kersten-Oertel Concordia University L’École Technique de Montréal

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

Virtual reality (VR) facilitates immersive visualization and interaction with complex medical images in immersive platforms. It remains unclear which VR input schemes and devices are optimal for these tasks. In this study, we perform a 12-person study to investigate user performance and experience while performing medical image segmentation with two control schemes, keyboard and mouse (KBM) and VR motion controllers (MC). Our results showed that motion controllers are faster in smaller segmentation tasks and offer a more pleasant user experience, however no significant difference in user accuracy was observed.

关键词： Performance evaluation Human computer interaction Image segmentation visualization Accuracy Three-dimensional displays Motion segmentation Keyboards User experience Biomedical imaging

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Self-Service Business Intelligence: Meeting User Needs in a Data-Rich World 24

Self-Service Business Intelligence: Meeting User Needs in a ...

引用

24th International Arab conference on information Technology, ACIT 2023

作者： Durra, Mahganj Al-Naymat, Ghazi College of Engineering and Information Technology Ajman University United Arab Emirates

ISBN: (纸本)9798350384307

In the current data-driven era, businesses continuously generate vast quantities of data, underscoring the critical importance of deriving actionable insights from this data deluge to inform decision-making. Despite the potential of Business Intelligence (BI) tools, a noticeable gap persists. Most existing BI tools require extensive customization for non-technical users, posing barriers to accessing and comprehending essential business metrics. This paper introduces a novel self-service business intelligence (BI) system that utilizes the Python programming language. The system aims to address the existing gap in the field. The system places emphasis on several key factors, including ease of use, flexibility in data formatting, preprocessing capabilities, relevancy of data insights, and the inclusion of a user-friendly interface. The evaluation process dif-fers from the traditional approach by including a direct comparison with the widely recognized software Microsoft Power BI. Encouragingly, our findings indicate a significant enhancement in the user experience for non-technical users. This affirms the effectiveness and usability of our system in facilitating more informed decision-making. The Python-based solution we have developed enables individuals without technical expertise to effectively engage with, examine, and extract valuable insights from intricate datasets, while circumventing the generally challenging learning process associated with business intelligence (BI) technologies. As we collectively navigate the data-driven environment, our endeavors contribute to the improvement of the accessi-bility and usability gap within the domain of business intelligence. © 2023 ieee.

关键词： Artificial intelligence Auto-mated Recommendations Business Intelligence (BI) Data visualization Self-Service Business Intelligence System

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Surround-Screen-Based Display Systems in Immersive visualization Laboratories: Applications, Benefits, and Lower-Cost Solutions

Surround-Screen-Based Display Systems in Immersive Visualiza...

引用

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

作者： Ross Tredinnick Bryce Sprecher Kevin Ponto Wisconsin Institute for Discovery University of Wisconsin Madison

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

Over the past 40 years, immersive visualization laboratories have existed in various forms across academia, industry, and government. Common to many of these laboratories has been the presence of surround-screen-based immersive display systems, such as CAVEs, powerwalls, tiled display systems, and related variations. With the rise of consumer off-the-shelf (COTS) virtual reality (VR) head-mounted displays (HMDs) over the past ten years, questions have arisen regarding the costs versus benefits of continuing to build, operate, and maintain surround-screen-based immersive display systems. This document highlights the benefits of continuing to promote these systems, both through a survey of existent systems post-2020 and by specifically showcasing low-cost approaches undertaken during a recent upgrade of a six-sided CAVE system. It will discuss applications unique to surround-screen-based immer-sive display systems, the advantages of these systems over COTS HMDs, and future needs and directions for these technologies to remain beneficial to users of XR technology.

关键词： Surveys Performance evaluation visualization Costs Three-dimensional displays Display systems Laboratories Virtual reality Resists User interfaces

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Foot Traffic Analysis Using Wi-Fi Sensor During the Tokyo 2020 Olympics and Paralympics 7

Foot Traffic Analysis Using Wi-Fi Sensor During the Tokyo 20...

引用

7th International conference on information Technology, InCIT 2023

作者： Traganmaturapot, Peerada Sonehara, Noboru Hiruma, Nobuharu Cooharojananone, Nagul Jirapongwanich, Jirakit Yodsakuntip, Kanat Atchariyachanvanich, Kanokwan Chulalongkorn University Faculty of Science Department of Mathematics and Computer Science Bangkok Thailand Institute for Policy Studies Tsuda University Tokyo Japan AREAPORTAL Inc Tokyo Japan King Mongkut's Institute of Technology School of Information Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9798350358698

Various real-world factors, such as time, weather, distance, environment, the COVID-19 pandemic, or even protests, can all impact human decision-making. However, restrictions and unexpected occurrences may also influence people's decisions regarding their path at any given time. These factors can lead to challenges in managing foot traffic at largescale events. In response to these challenges, this paper proposes a data-driven web-based foot traffic management supporting dashboard for large-scale events based on limited pedestrian count data, consisting of sensor name, latitude, longitude, MAC address, Datetime, and RSSI, collected by Wi-Fi sensors around the Sendagaya area during the Tokyo 2020 Olympics and Paralympics. The results confirmed that our proposed web-based dashboard contributes to human behavior understanding and decision-supporting policymaking for foot traffic management, which improves the design of spectator movement between transportation and venues in large-scale events. Furthermore, the dashboard is valuable from various perspectives, including preventing crowd crushing, redesigning areas to increase engagement in the shopping district, and improving traffic management. © 2023 ieee.

关键词： Data visualization

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SecGrid: a Visual System for the Analysis and ML-based Classification of Cyberattack Traffic 46

SecGrid: a Visual System for the Analysis and ML-based Class...

引用

ieee 46th conference on Local Computer Networks (LCN)

作者： Franco, Muriel Von der Assen, Jan Boillat, Luc Killer, Christian Rodrigues, Bruno Scheid, Eder J. Granville, Lisandro Stiller, Burkhard Univ Zurich UZH Dept Informat IfI Commun Syst Grp CSG Binzmuhlestr 14 CH-8050 Zurich Switzerland Fed Univ Rio Grande do Sul UFRGS Inst Informat Comp Networks Grp Av Bento Goncalves 9500 Porto Alegre RS Brazil

ISBN: (纸本)9780738124766

Due to the increasing number of cyberattacks and respective predictions for the upcoming years with even larger numbers of occurrences, companies are becoming aware not only that the digitization of their businesses is essential, but also that the adoption of efficient cybersecurity strategies is crucial. Therefore, approaches for a better understanding and analysis of cybersecurity are essential. Thus, SecGrid, a Machine Learning (ML) empowered platform for analyzing, classification, and visualization of cyberattacks is introduced. SecGrid implements an extensible set of miners to analyze information from network traces to provide insightful visualizations of malicious traffic given and to classify automatically different types of cyberattacks by using supervised ML. Experiments conducted show high overall usability, scalability in terms of the capacity of the platform to extract information from large files, and high performance and accuracy during the classification of cyberattacks.

关键词： visualization Scalability conferences Machine learning Companies Visual systems Computer networks

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Research on the Development Trend of China's New Energy Vehicle Based on ARIMA Model and Power Function Nonlinear Regression

Research on the Development Trend of China's New Energy Vehi...

引用

Electronics, Energy Systems and Power Engineering (EESPE), ieee International conference on

作者： Zhengyang Li Fujian Normal University Fuzhou China

ISBN: (数字)9798350389579

ISBN: (纸本)9798350389586

This paper investigates the factors influencing the development of China's New Energy Vehicle (NEV) industry using an ARIMA model and power function nonlinear regression. A comprehensive dataset spanning 2013-2022 was collected and preprocessed, including technical, economic, convenience, and policy factors. The study employs entropy weight method for comprehensive evaluation and constructs a multiple linear regression model to analyze the impact of key factors. Correlation analysis and PCA visualization confirm the significant relationship between these factors and NEV development. The ARIMA and power function nonlinear regression models predict a robust growth in China's NEV industry over the next decade, with both models showing high accuracy in forecasting.

关键词： Industries Analytical models visualization Power engineering Correlation Accuracy Predictive models Planning Reliability Principal component analysis

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Development of Wireless AC Power-Monitoring Module 8

Development of Wireless AC Power-Monitoring Module

引用

8th International conference on Applied System Innovation, ICASI 2022

作者： Lin, Jen-Yung Tsai, Huan-Liang Lu, Guan-Hua Da-Yeh University Department of Computer Science and Information Engineering Da-Yeh University No. 168 University Rd. Dah-Tsuen Chang-Hua515006 Taiwan

ISBN: (纸本)9781665496506

The paper originally presents a wireless AC power monitoring module by integrating voltage and current sensors with a WeMos D1 mini WiFi module and shows the visualization of voltage, current, electric power and energy, power factor (pf), and frequency. First, both voltage and current sensors are integrated with ATMega 328 MCU to provide voltage and current readings for AC power system. And the corresponding values of instantaneous power, electric energy, and pf are directly programmed based on the well-known AC power formulas. Then, the all AC power parameters are sent to the ESP8266 WiFi module through Tx/Rx interface and a WiFi network, and finally are displayed in the ThingSpeak IoT platform. Both accuracy and confidence of the developed AC power monitoring module are evaluated with two DM-9960 digital multi-meters (DMM) with the similarity level over 99%. The visualization of AC electric parameters in the public channel of ThingSpeak available online for monitoring AC power distribution box of the office of the Department of Computer Science and information Engineering, Da-Yeh University in Taiwan further validates the durability of the proposed system. The results illustrate the proposed wireless AC power monitoring system has been validated with sufficient accuracy and confidence for in-situ monitoring AC power system. © 2022 ieee.

关键词： Internet of things

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PolyVRGeo: Immersive Engineering Toolkit for Deep Geothermal Energy

PolyVRGeo: Immersive Engineering Toolkit for Deep Geothermal...

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2025 ieee conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025

作者： Häfner, Victor Hafner, Polina Michels, Felix L. Bauer, Florian Grethler, Michael Geoenergy Department Germany

ISBN: (纸本)9798331514846

Geothermal energy offers a sustainable and reliable energy source. However, VR engineering methods have seen limited application in this field. This work introduces an Immersive Engineering Toolkit, which leverages an open-source VR engine to address challenges across the geothermal lifecycle, such as drill site planning, subsurface visualization, engineering simulations, and public engagement. By integrating heterogeneous data formats and enabling collaborative environments, the toolkit aims to enhance cost-efficiency, safety, decision-making and stakeholder communication. By unifying scientific, engineering, and societal aspects, the toolkit aims to provide a holistic approach to accelerate the adoption of deep geothermal energy systems. © 2025 ieee.

关键词： visualization

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