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

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Developing a VR-based Training Platform for Emergency Fire Handling Services Using Unity 3D 20

Developing a VR-based Training Platform for Emergency Fire H...

引用

20th International conference on Frontiers of information Technology, FIT 2023

作者： Qazi, Muhammad Hasham Khan, Farhan Kim, Jeeeun Rojas-Munoz, Edgar J. Habib University Electrical Engineering Karachi Pakistan Habib University Electrical and Computer Engineering Karachi Pakistan Texas A&m University Computer Science & Engineering College Station United States Texas A&m University Performance Visualization & Fine Arts College Station United States

ISBN: (纸本)9798350395785

The rising incidence of fires calls for advanced training methodologies that surpass the limitations of traditional firefighter training, both in scale and scope. Virtual Reality (VR) emerges as a potent solution, offering a wide range of realistic scenarios and cost-effective, safe training environments. This paper presents a novel VR-based training platform tailored for firefighters, which leverages Unity 3D and state-of-the-art fire simulation techniques to deliver high-fidelity experiences that closely mimic real-world dynamics. Trainees engage in an immersive VR setting where they experience full autonomy and multisensory feedback, heightening the educational impact through a procedural fire spreading mechanism that emulates actual fire behavior. Our system excels in providing a comprehensive framework, modular design for customizable scenarios, and integration of varied training modules to prepare trainees for an array of firefighting emergencies. Future work aims to enhance realism through advanced features such as Flashover and Backdraft simulation, real-time environmental controls for trainers, team-based exercises with human-agent interaction, etc. The paper concludes by emphasizing the platform's alignment with the set design standards for VR-based firefighter training and outlines prospective user testing with professional firefighters to further refine the VR experience. © 2023 ieee.

关键词： Virtual reality

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Performance Optimization of Intelligent Operation and Inspection System in Computer Room Assisted by MR Technology

Performance Optimization of Intelligent Operation and Inspec...

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2024 International conference on Interactive Intelligent Systems and Techniques, IIST 2024

作者： Mei, Zengyang Shu, Yi Cai, Hao Wang, Dayang Xu, Mi Liu, Xu Jia, Ping Information and Communication Branch of State Grid Jiangsu Electric Power Co. Ltd. NanJing210000 China

ISBN: (纸本)9798350374421

If a device in the equipment room is faulty, you need to quickly locate the fault and take corresponding measures. However, due to complex interactions between devices, failures can involve multiple parties, making location and handling difficult. Traditional O&M training often relies on text and pictures, which makes it difficult for O&M personnel to intuitively understand the equipment room and equipment. MR Technology can build a realistic virtual environment of the machine room, so that operation and maintenance personnel can carry out practical operations in the virtual environment, and improve the training effect. Therefore, with the help of MR Technology, this study optimizes the performance of the intelligent operation and inspection system in the computer room. The hardware design of the system is completed by data acquisition terminal and data processing industrial computer. On this basis, the intelligent operation and inspection MR Model of the computer room is constructed, the abnormal operation and inspection of the computer room is completed based on convolutional neural network, and the three-dimensional visualization module is constructed based on MR Technology. The experimental results show that: The optimized system has higher visual display frame rate and lower failure rate after operation and inspection. When the number of iterations is 60, the fitness of the proposed system reaches 945 and the convergence performance is better. © 2024 ieee.

关键词： Inspection equipment

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Face-Based Glyphs Revisited

Face-Based Glyphs Revisited

引用

24th Eurographics conference on visualization, EuroVis 2022

作者： Schlieder, Antonia Wimmer, Philipp Sadlo, Filip Heidelberg University Germany

ISBN: (纸本)9783038681847

While face-based glyphs have known advantages for certain visualization tasks, they suffer from mixing two rather different visual properties of faces: individual traits and emotion expressions. This paper proposes a set of actions on stylized face glyphs that are compatible with psychological evidence embodied in the facial action coding system [EFH02]. It shows how this set can be employed for distinguishing emotion expressions from other facial expressions, and derives an emotion-based glyph space to exploit the pre-attentive processing of emotion expressions. Finally, we report the results of an empirical user study comparing Chernoff-like glyphs with our emotion glyphs in a typical visualization task. © 2022 The Author(s) © 2022 The Eurographics Association.

关键词： visualization

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Visualizing Fault Induced Traveling Waves In Medium Voltage Systems

Visualizing Fault Induced Traveling Waves In Medium Voltage ...

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2022 ieee IAS Petroleum and Chemical Industry Technical conference, PCIC 2022

作者： Prabakar, Kumaraguru Lunacek, Monte Velaga, Yaswanth Nag Singh, Akanksha National Renewable Energy Laboratory 15013 Denver West Pkwy GoldenCO80401 United States

ISBN: (纸本)9781665497169

Traveling waves are induced in power systems during most transient events in the grid. These waves travel close to the speed of light in overhead lines and 50% to 60% the speed of light in underground cables. Even though traveling wave-based protection schemes for transmission systems are available commercially, traveling waves in medium voltage distribution networks are still in research space. Compared to transmission system, medium voltage distribution systems contain more reflections and refractions. Thus, visualization is challenging and is critical in locating faults in distribution network. To address this visualization challenge, this paper presents an open-source tool to visualize the traveling waves using Bewley lattice approach. The developed visualization tool will be useful for the protection engineers to detect and triangulate fault locations in the medium voltage systems and isolate the faults. © 2022 ieee.

关键词： visualization

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Backend of Heart Rate Detection System with Early Warning for Patients with Heart Disease 11

Backend of Heart Rate Detection System with Early Warning fo...

引用

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

作者： Rofiudin, Ahmad Sidik Kusumasari, Tien Febrianti Suakanto, Sinung Telkom University Information System Department Bandung Indonesia

ISBN: (纸本)9798350389654

Heart disease remains a leading cause of mortality globally, necessitating effective monitoring and early warning systems for patients at risk. This paper presents the development of a robust backend system for heart rate detection with an early warning mechanism using the Laravel framework, MAX30100 and MLX90614 sensors, and MySQL database. The system integrates an Internet of Things (IoT) approach to continuously monitor and store patient data, including heart rate, oxygen saturation (SpO2), and body temperature. A web-based dashboard and mobile application provide healthcare providers and caregivers with real-time access to this data. Comprehensive load testing evaluated the system's performance under varying user loads. The results indicated a reliable performance with an average response time of 735 milliseconds at 20 Virtual Users (VUs). However, error rates increased under higher loads, highlighting the need for further scalability improvements. The comparative analysis demonstrated the system's competitive edge in accuracy and responsiveness, particularly its early warning feature that alerts caregivers of potential health issues. This study addresses key limitations of existing heart monitoring devices, such as the inability to store continuous data and the lack of remote monitoring capabilities. The proposed system's API integration and real-time data visualization enhance its practical applicability in clinical settings. Future work will optimize system scalability and resilience to manage larger datasets and higher user loads effectively. © 2024 ieee.

关键词： Scalability

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Adapted Spectrogram Transformer for Unsupervised Cross-Domain Acoustic Anomaly Detection

Adapted Spectrogram Transformer for Unsupervised Cross-Domai...

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14th Annual Summit and conference of the Asia-Pacific-Signal-and-information-Processing-Association (APSIPA ASC)

作者： Van De Vyver, Gilles Liu, Zhaoyi Dolui, Koustabh Hughes, Danny Michiels, Sam Katholieke Univ Leuven Comp Sci Imec Distrinet Leuven Belgium

ISBN: (数字)9786165904773

ISBN: (纸本)9786165904773

Anomaly detection models can help to automatically and proactively detect faults in industrial machines. Microphones are appealing as they are generally inexpensive and unlike visual inspection, recording sound samples can give information about the internals of the machine. However, conventional methods based on an AutoEncoder (AE) structure learned from scratch generally struggle to learn how to robustly reconstruct samples with limited available data. This paper addresses this problem by presenting a method for unsupervised Acoustic Anomaly Detection (AAD) that adapts intermediate embeddings from a pretrained, self-attention-based spectrogram transformer. Transfer learning from a large, successful model offers a solution to learning with limited data by reusing external knowledge. For AAD, this can help to recognize subtle anomalies. This work proposes two method variants that take advantage of Intermediate Feature Embeddings (IFEs) from the Audio Spectrogram Transformer (AST). The first fits a Gaussian Mixture Model (GMM) on the IFEs produced by intermediate layers of the AST. We call this ADIFAST: Anomaly Detection from Intermediate Features extracted from AST. The second uses the IFEs in a different, more effective way by adapting the AST to an AE structure. We call it TELD: Transformer Encoder Linear Decoder network. The relationship between the two method variants is that they both take advantage of the IFEs extracted by the AST. Evaluating TELD on task 2 of the Detection and Classification of Acoustic Scenes and Events (DCASE) 2021 challenge gives an average improvement to the Area Under Curve (AUC) score of 3.9% for binary labeling normal and anomalous samples in the target domain.

关键词： Adaptation models visualization Transfer learning Transformers Feature extraction Acoustics Data models

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Research on Key Technologies of 3D Real Scene visualization Based on Multi-source Observation Data Fusion 3

Research on Key Technologies of 3D Real Scene Visualization ...

引用

3rd International conference on Geology, Mapping and Remote Sensing, ICGMRS 2022

作者： Jing, Qiang Miao, Hongzhi Yang, Xiaowei Ming, Huifang Yin, Hui Hong Kong Zhuhai Macao Bridge Authority Zhuhai China 722 Research Institute of China Shipbuilding Corporation Wuhan China

ISBN: (数字)9781665485951

ISBN: (纸本)9781665485951

Based on the big data of multi-source observation of the underwater environment of the Hong Kong-Zhuhai-Macao Bridge,this study constructed an underwater three-dimensional(3D) scene with multi-source data fusion,realized the visual presentation and management of the underwater environment of large structures,and satisfied the requirements of visual operation and safety detection and protection of large *** this paper,the key technologies related to multisource spatio-temporal big data fusion and 3D real scene visualization were studied,a multi-storage distributed storage framework for hybrid spatio-temporal big data is constructed,a hierarchical organization model for spatio-temporal big data is proposed,and multi-source observation data fusion of large underwater structures is ***,3D scenes are rendered based on technologies such as WebGL,onshore/undersea terrain simulation,and gridding to realize 3D real-world *** construction of a 3D real scene visualization model based on multi-source spatiotemporal big data fusion can quickly realize the deformation monitoring and spatiotemporal deduction of the Hong Kong-Zhuhai-Macao *** on the fused 3D scene,the evolution analysis of underwater terrain and stratum can be conducted,which can effectively support the monitoring and management of the underwater environment of large structures. © 2022 ieee.

关键词： visualization

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Towards Consistent Visual-Inertial Navigation for Unmanned Aerial Vehicles using Depth information 35

Towards Consistent Visual-Inertial Navigation for Unmanned A...

引用

Canadian conference on Electrical and Computer Engineering (CCECE)

作者： Gomaa, Mahmoud A. K. De Silva, Oscar Jayasiri, Awantha Mann, George K., I Memorial Univ Intelligent Syst Lab St John NB Canada CNR Flight Res Lab Ottawa ON Canada

ISBN: (数字)9781665484329

ISBN: (纸本)9781665484329

This paper proposes a new filtering-based depth enhanced visual inertial navigation system (DE-VINS) for quadrotor unmanned aerial vehicles (UAV). This filter addresses the drifting and degraded performance of a class of conventional monocular VINS filters at hovering conditions. A theoretical nonlinear observability analysis is performed to verify the filter design. The performance of the proposed DE-VINS is numerically evaluated using a Matlab simulator and then compared against the conventional VINS filter proposed in literature. The results show improved performance of the DE-VINS in terms of estimation accuracy and consistency at zero-velocity flight conditions.

关键词： visualization Monte Carlo methods Three-dimensional displays Estimation Position measurement information filters Autonomous aerial vehicles

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Sound as an Additional Tool for Spin-Wave Dynamics Analysis

Sound as an Additional Tool for Spin-Wave Dynamics Analysis

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Magnetic conference - Short Papers (INTERMAG Short Papers), ieee International

作者： Santa Pile Oleg Lesota Silvan David Peter Christina Humer Martin Gasser Johannes Kepler University Linz Linz Austria University of Applied Arts Vienna Vienna Austria

ISBN: (数字)9798350362213

ISBN: (纸本)9798350362220

Analysis of complex data such as spin wave behavior requires the use of sophisticated visualization techniques, which might not always be enough. An approach to combining data sonification with interactive visualization of a spin-wave transient response in confined Ni 8o Fe2o microstrips of different shapes on uniform MW field excitation is discussed in this work. Developed prototype has been successfully presented in the science-communication framework at a digital art exhibition.

关键词： Transient response Shape Magnetic confinement Data visualization Prototypes Digital art Sonification

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Improved YOLOv7 Based on Small Target information Extraction for Road Crack Detection 2

Improved YOLOv7 Based on Small Target Information Extraction...

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2nd International conference on Machine Learning, Cloud Computing, and Intelligent Mining, MLCCIM 2023

作者： Qu, Xin Wang, Qingwang Liu, Zhiyi Gu, Yebo Tao, Zhimin Shen, Tao Kunming University of Science and Technology Kunming China Gordonstoun School Scotland United Kingdom Beihang University Beijing China

ISBN: (纸本)9798350328530

As one of the end-to-end detection algorithms in the domain of object detection, YOLO uses a separate convolution neural network (CNN) to achieve feature extraction and prediction. With higher efficiency and better performance, YOLOv7 is widely used to detect road damages, especially the cracks. But our experiments indicate that YOLOv7 is not good enough for small cracks detection, and we improve the detection performance of YOLOv7 by adding a layer for small targets information extraction to reduce the loss of feature information during the convolution process. Furthermore, in order to obtain richer feature information, we use RepConv and MPConv instead of simple convolution operations to ensure that small cracks can retain key feature information after fusing features from different scales and channels. Experiments are carried out on an open road damage sub-data set, and the results demonstrate that the detection performance of small road cracks and damages has been improved. At the same time, compared with the basic YOLOv7, the mAP@0.5 of our method has been increased by 2.5%. Moreover, as we can see from the visualization results, the detection performance of our improved YOLOv7 for small road cracks detection is also better than other YOLOv7-based models. © 2023 ieee.

关键词： Convolution

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