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

共 54092 条记录，以下是101-110 订阅

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Night Sky Explorer VR

Night Sky Explorer VR

引用

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

作者： Spur, Maxim Deverchère, Philippe Augereau, Olivier González, Edna Hernández Umr 6285 Cnrs Enib Lab-STICC Brest France ScotopicLabs Lyon France Univ Brest Laboratoire Géoarchitecture France

ISBN: (纸本)9798331514846

We present a Virtual Reality application that immersively visualizes nighttime skyglow and its sources of light pollution. Utilizing Unity with Cesium and OpenStreetMap geospatial data, the system integrates calibrated all-sky images processed with the Sky Quality Camera software to provide natural and luminance views of the night sky. By projecting road maps and location markers onto a surrounding sphere using inverse stereographic projection, users can intuitively explore the correlation between observed skyglow and its sources. This tool offers educational and exploratory potential, highlighting the impact of artificial light pollution on the night sky in an immersive and realistic context. © 2025 ieee.

关键词： Geovisualization Immersive visualization Light pollution Sky Quality Camera Skyglow Virtual Reality

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Aquaponic Farming with Advanced Decision Support System: Practical Implementation and Evaluation 6

Aquaponic Farming with Advanced Decision Support System: Pra...

引用

6th ieee International conference on Image Processing, Applications and Systems, IPAS 2025

作者： Pechlivani, Eleftheria Maria Gkogkos, Georgios Christakakis, Panagiotis Kapetas, Dimitrios Hadjigeorgiou, Ioannis Ioannidis, Dimosthenis Tzovaras, Dimitrios Centre for Research and Technology Hellas Information Technologies Institute Thessaloniki Greece Sidroco Holdings Ltd. Nicosia Cyprus

ISBN: (纸本)9798331506520

The adoption of Decision Support Systems (DSS) by farmers faces significant challenges, including the need for user-friendly interfaces, comprehensive training, reliable support, and affordable pricing. Addressing these challenges is critical to advancing sustainable agriculture and meeting global food production demands. This paper introduces an advanced DSS tailored for aquaponics, leveraging cutting-edge technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain. These technologies are integrated into the DSS to optimize resource management, ensure cybersecurity, and simplify complex processes through an intuitive interface. Real-time data is presented in an accessible format, enabling farmers of all skill levels to adopt the system with ease. The DSS features AI-driven robotic traps with 75% accuracy in real-time insect detection, autonomous robots achieving 94% precision in 3D spot spraying, and nutrient analyzers with over 92% accuracy in monitoring critical levels. A blockchain layer ensures secure data verification, traceability, and distributed AI model verification. Advanced hierarchical clustering algorithms analyze pest and nutrient dynamics, providing actionable insights for farm management. The system emphasizes interoperability and scalability, supporting seamless integration with various aquaponic setups. Field evaluations demonstrate the DSS's capacity to reduce pesticide use by 50%, enhance crop yields, and lower sample analysis costs by 70%, highlighting its efficiency and sustainability. Data visualization latency remains below 430ms, enabling real-time responsiveness, while predictive models achieve 91% accuracy in forecasting pest population trends. These results solidify the DSS's role as a transformative tool in precision agriculture. By improving productivity, plant health, and the utilization of biopesticides and biofertilizers, this work bridges the gap between theoretical models and real-world applicat

关键词： Fertilizers

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Real-Time Point Cloud visualization for Sustainable Spatial Digital Twins

Real-Time Point Cloud Visualization for Sustainable Spatial ...

引用

ieee International conference on Consumer Electronics (ICCE)

作者： Tatsuya Kase Kenta Hasegawa Kaito Watanabe Takumi Miyoshi Taku Yamazaki Graduate School of Engineering and Science Shibaura Institute of Technology Saitama Japan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

City-scale spatial digital twins require extensive spatial information, such as city-scale point clouds, to remain updated. This study develops a 3D mobile crowdsensing system in which participants collect 3D point cloud data of urban spaces using LiDAR-equipped mobile devices. This system aggregates the collected partial point clouds on a server to merge them into the city digital twin. In such environments, city-scale point clouds are expected to support various smart city tasks. Therefore, diverse types of visualization are necessary for analysis and validation, including task examination, real-time system behavior verification, and crowdsensing system tracking. In this paper, we present a web-based, real-time point cloud visualization mechanism designed to offer tailored views for different use cases.

关键词： Point cloud compression Three-dimensional displays Laser radar Crowdsensing Smart cities Data visualization Real-time systems Mobile handsets Digital twins Servers

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visualization of Flow Fields Around Drones Using Intermittent Smoke

Visualization of Flow Fields Around Drones Using Intermitten...

引用

ieee International conference on Consumer Electronics (ICCE)

作者： Yiming Li Kazuyuki Kojima Department of Mechanical Engineering Shonan Institute of Technology Fujisawa Japan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

This study presents a method for visualizing the flow fields around multiple drones intended for gas leak detection in disaster areas, using intermittently generated smoke and image processing. As a preliminary step before conducting experiments with multiple drones, we focused on enhancing visualization performance. An experimental setup was constructed to conduct visualization experiments indoors. This setup is installed in a dark room, where a smoke generator is connected to a duct to create the flow path. Smoke is generated intermittently from the smoke device, and the cross-section of the flow path is extracted using a sheet laser. A transparent panel separates the interior and exterior of the duct, allowing for external image capture with a camera. Optical flow image processing is applied to the captured images, achieving visualization of the entire flow path.

关键词： visualization Image motion analysis Computer vision Disasters Ducts Lasers Generators Leak detection Optical flow Drones

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A Hybrid Convolutional and Vision Transformer Model with Attention Mechanism for Enhanced Bone Fracture Detection in X-Ray Imaging

A Hybrid Convolutional and Vision Transformer Model with Att...

引用

2025 International conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025

作者： Selvaraj, Kailasam Teja, Sriharikota Sriram, M. Pavan Sumanth, T. Venkata Dushyanth, G. Kalasalingam Academy of Research and Education Department of Information Technology Anand Nagar Krishnankoil Virudhunagar India

ISBN: (纸本)9798331509828

A prevalent health issue that necessitates prompt and precise diagnosis-often with X-ray imaging-is bone fractures. Conventional fracture identification techniques depend on radiologists' manual analysis, which can be laborious and error-prone, especially for tiny or complicated fractures. For automatic and extremely accurate fracture diagnosis in X-ray pictures, this study Convolutional neural networks and other deep learning models are combined in this hybrid model. (CNNs) and Vision Transformers (ViTs) with an attention mechanism. While the ViT provides global context by recording dependencies over the entire image, the CNN component is utilized for efficient feature extraction, concentrating on local patterns like edges and textures. By focusing on possible fracture sites, the attention mechanism improves the model's interpretability and spatial localization even more. Our domain-agnostic model was trained and validated using a high degree of data augmentation on a number of popular X-ray datasets, including the MURA and Bone X-ray datasets, for the purpose of attain robustness. The hybrid model enhances accuracy, precision, recall, and AUC scores in comparison to traditional CNN-only techniques. Furthermore, attention heatmaps and Grad-CAM enhance visualization, which helps doctors comprehend how the system works. This study demonstrates how attention-mechanism-based hybrid CNN-ViT architectures can enhance automatic fracture detection systems, improving clinical radiology diagnostics' precision and efficiency. © 2025 ieee.

关键词： Radiology

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Impact of Adding, Removing and Modifying Driving and Non-Driving Related information on Trust in Autonomous Vehicles

Impact of Adding, Removing and Modifying Driving and Non-Dri...

引用

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

作者： Tran, Thi Thanh Hoa Peillard, Etienne Walsh, James Moreau, Guillaume Thomas, Bruce H. Imt Atlantique Lab-STICC Brest France University of South Australia Adelaide Australia

ISBN: (纸本)9798331514846

Integrating Autonomous Vehicles (AVs) into daily life requires a fundamental shift in user trust and acceptance. Previous studies show that Augmented Reality (AR) visualization can improve trust in AVs. However, those studies primarily focus on adding information related to the driving task. The question then must be asked: What happens if we remove unnecessary information or modify information unrelated to the driving task? Our work presents six AR visualizations within AVs, including adding, modifying, and removing information related to or non-related to the driving task. We evaluate the influence of these visualizations on trust, technology acceptance, and Situational Awareness (SA) in AVs by conducting a study employing a custom-developed driving simulator. Results show that using AR to add, modify, or remove information can significantly increase trust in AVs. © 2025 ieee.

关键词： Augmented Reality Autonomous vehicle Trust Virtual reality visualization design and evaluation methods

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Application of Computer Graphics and BIM in Three-Dimensional visualization and Virtual Reality of Water Conservancy Buildings

Application of Computer Graphics and BIM in Three-Dimensiona...

引用

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

作者： Zekun Chang Shandong Vocational College of Industry Zibo China

ISBN: (数字)9798350389579

ISBN: (纸本)9798350389586

This paper combines computer graphics and building information modeling (BIM) technology to propose an innovative three-dimensional visualization optimization algorithm for water conservancy buildings. The algorithm combines BIM data with efficient rendering technology in graphics, and proposes a method based on multi-level model generation and detail processing optimization to improve the rendering speed and accuracy of three-dimensional models. In the experimental part, a BIM model of a large water conservancy project was used for testing. The results show that compared with the traditional rendering method, the algorithm has improved the rendering accuracy by 18.5% and the rendering speed by 30%. In practical applications, this algorithm can effectively reduce the rendering time while ensuring the details and accuracy of the model, providing more accurate and efficient visualization support for water conservancy construction projects. In addition, the visualization effect is displayed through a virtual reality platform, which further verifies the superior performance of the algorithm in a virtual reality environment. The results of this study show that the innovative algorithm based on BIM and computer graphics cannot only improve the design and construction efficiency of water conservancy buildings, but also optimize the engineering management process, and has strong application value and promotion prospects.

关键词： Solid modeling Accuracy Three-dimensional displays Computational modeling Buildings Virtual reality Water conservation Rendering (computer graphics) Optimization Water resources

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Human-Centered Intelligent Realities Laboratory

Human-Centered Intelligent Realities Laboratory

引用

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

作者： Sundstedt, Veronica Hu, Yan Arlos, Patrik Abghari, Shahrooz Goswami, Prashant Tutschku, Kurt Elwardy, Majed Wang, Chaoming Qin, Bowen Blekinge Institute of Technology Department of Computer Science Sweden

ISBN: (纸本)9798331514846

The 'Human-Centered Intelligent Realities' (HINTS) laboratory is a strategic infrastructure project aiming to support research that advances the development of immersive, user-aware, and intelligent digital environments by integrating augmented reality (AR), virtual reality (VR), extended reality (XR), artificial intelligence (AI), and machine learning (ML). By combining virtual reality and communication-computing continuums, the HINTS environment seeks to create innovative concepts, methods, and tools that empower users to engage with digital systems in novel, efficient, and effective ways. Research in the HINTS laboratory focuses on experience assessment, new digital environments and interaction techniques, visual analytics, adaptive AI, and networking. This paper presents the HINTS laboratory, ongoing activities, and opportunities and challenges for the future. © 2025 ieee.

关键词： artificial intelligence Extended reality human-centered intelligent reality visualization

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ieee VR 2025 visualization and Graphics Technical Committee (VGTC) Statement

IEEE VR 2025 Visualization and Graphics Technical Committee ...

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ieee Annual International Symposium Virtual Reality

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The Influence of Augmented and Virtual Reality Environments on Foot Positioning Success and Workload in Agility Ladder Exercises

The Influence of Augmented and Virtual Reality Environments ...

引用

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

作者： Resch, Stefan Hanania, Jean-Gabriel Schwind, Valentin Völz, Diana Sanchez-Morillo, Daniel University of Cadiz Spain Frankfurt University of Applied Sciences Germany

ISBN: (纸本)9798331514846

Agility ladder training is used by athletes and in rehabilitation to improve coordination and motor skills. Research highlights the potential of visual feedback in virtual reality (VR) to enhance agility ladder training compared to conventional real-world (RW) methods. Moreover, the integration of mixed reality technologies introduces new possibilities for rehabilitation through novel agility ladder concepts. However, the impact of augmented reality (AR) and VR on foot positioning success rates and foot rotation angles compared to RW environment remains underexplored. We conducted an experimental study with 24 participants to assess foot positioning success rates, rotation angles, and perceived workload in AR, RW, and VR environments, using two different visualizations: empty fields and footsteps. The results showed that AR led to significantly lower foot positioning success rates compared to both RW and VR, while VR resulted in greater inward foot rotation angles. Additionally, participants reported a significantly higher perceived workload in AR, which was consistent with qualitative feedback from post-study questionnaires. Our findings reveal the need for improved visual feedback in immersive training environments to enhance performance and reduce cognitive load. We also discuss the challenges of using AR passthrough technology for agility ladder training and provide recommendations for future rehabilitation applications. © 2025 ieee.

关键词： Human-Centered computing - Human computer interaction (HCI) - Interaction paradigms - Mixed / augmented Reality, Virtual Reality Human-Centered computing - visualization - Empirical studies in visualization

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