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

共 54121 条记录，以下是4531-4540 订阅

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Designing Fractal Expressions for Immersive Aesthetic Experiences

Designing Fractal Expressions for Immersive Aesthetic Experi...

引用

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

作者： Emil Gerhardt Chris Geiger Mitja Säger University of Applied Sciences Düsseldorf Germany

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

Aesthetic experiences are closely related to human emotions and experiences as well as the perception of aesthetic objects and phenomena. We consider interaction with generated immersive worlds to be an immersive aesthetic experience if it is designed independently of any functional use and can be experienced in an aesthetically pleasing way. The possibilities of generative techniques such as AI and other algorithms and visualization through the integration of virtual reality open up new aesthetic possibilities. We present the results of a collaboration between scientists and designers/artists in the development of a framework for three-dimensional fractals [5] and its application in various scenarios in the field of festivals, performances and exhibitions.

关键词： visualization Three-dimensional displays conferences Collaboration Virtual reality User interfaces Fractals Real-time systems Artificial intelligence

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Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning

Attribute Surrogates Learning and Spectral Tokens Pooling in...

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ieee/CVF conference on Computer Vision and Pattern Recognition (CVPR)

作者： He, Yangji Liang, Weihan Zhao, Dongyang Zhou, Hong-Yu Ge, Weifeng Yu, Yizhou Zhang, Wenqiang Fudan Univ Sch Comp Sci Nebula AI Grp Shanghai Peoples R China Shanghai Key Lab Intelligent Informat Proc Shanghai Peoples R China Univ Hong Kong Hong Kong Peoples R China

ISBN: (数字)9781665469463

ISBN: (纸本)9781665469463

This paper presents new hierarchically cascaded transformers that can improve data efficiency through attribute surrogates learning and spectral tokens pooling. Vision transformers have recently been thought of as a promising alternative to convolutional neural networks for visual recognition. But when there is no sufficient data, it gets stuck in overfitting and shows inferior performance. To improve data efficiency, we propose hierarchically cascaded transformers that exploit intrinsic image structures through spectral tokens pooling and optimize the learnable parameters through latent attribute surrogates. The intrinsic image structure is utilized to reduce the ambiguity between foreground content and background noise by spectral tokens pooling. And the attribute surrogate learning scheme is designed to benefit from the rich visual information in image-label pairs instead of simple visual concepts assigned by their labels. Our Hierarchically Cascaded Transformers, called HCTransformers, is built upon a self-supervised learning framework DINO and is tested on several popular few-shot learning benchmarks. In the inductive setting, HCTransformers surpass the DINO baseline by a large margin of 9.7% 5-way 1-shot accuracy and 9.17% 5-way 5-shot accuracy on miniImageNet, which demonstrates HCTransformers are efficient to extract discriminative features. Also, HCTransformers show clear advantages over SOTA few-shot classification methods in both 5-way 1-shot and 5-way 5-shot settings on four popular benchmark datasets, including miniImageNet, tieredImageNet, FC100, and CIFAR-FS. The trained weights and codes are available at https://***/StomachCold/HCTransformers.

关键词： visualization Semantics Self-supervised learning Benchmark testing Transformers Feature extraction Pattern recognition

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Development of a Low-Cost Computer Vision System for Quantifying Ketone and Glucose in Urine Dipstick Tests

Development of a Low-Cost Computer Vision System for Quantif...

引用

Applied Intelligence and Computing (AIC), ieee World conference on

作者： Prachi Bhoir Jagannath Nirmal Ninad Mehendale Department of Electronics Engineering K.J. Somaiya College of Engineering Mumbai India

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Efficient Electrode Arrangement for Presenting Phosphenes in Both Upper and Lower Visual Fields

Efficient Electrode Arrangement for Presenting Phosphenes in...

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ieee Region 10 Humanitarian Technology conference (R10-HTC)

作者： Manami Kanamaru Keita Tanaka Eiji Kamioka Devision of Electronic Information and Biomedical Engineering Tokyo Denki University Saitama Japan Graduate School of Engineering and Science Shibaura Institute of Technology Tokyo Japan

ISBN: (数字)9798350340204

ISBN: (纸本)9798350340211

Methods of presenting visual information, known as phosphenes, to visually impaired people have been researched. Phosphenes are perceived by applying electrical stimulation to the visual pathway, and the position of the electrodes can control the presentation position. However, presenting one phosphenes requires two electrodes, and presenting multiple phosphenes requires placing many electrodes on the face. Therefore, this study discusses a method that reduces the number of electrodes placed in the limited space on the human face and presents multiple phosphenes.

关键词： Electrodes visualization Forehead Interference Electrical stimulation Aerospace electronics Faces ieee Regions

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Industry 4.0 (IR 4.0) for Pharmaceutical Industry: An Exploratory Review 1

Industry 4.0 (IR 4.0) for Pharmaceutical Industry: An Explor...

引用

1st International visualization, Informatics and Technology conference, IVIT 2022

作者： Mukhlas, Amalia Talip, Bazilah A. Che Mustapha, Jawahir Ismail, Shahrinaz Universiti Kuala Lumpur Institute of Information Technology Informatics and Analytics Malaysian Kuala Lumpur Malaysia Albukhary International University School of Computing and Informatics Alor Setar Kedah Malaysia

ISBN: (纸本)9781665486484

The pharmaceutical industry facing challenges despite digital transformation applying for the benefit of the industry. The companies and the industrial process need to be ready and adapt to the rapid changes or else be left behind by the competitors. The study provides a preliminary understanding of IR 4.0 within the pharmaceutical industry domain. The findings highlight the discussion of IR 4.0 technology in the pharmaceutical industry and the areas in the technology in which the technology has been applied. The research recommends the IR 4.0 technology practices in the operation and process, the elements of technology in the areas, challenges of technology implementation, relatable concepts and theories facilitating the future study. © 2022 ieee.

关键词： exploratory review IR 4.0 pharmaceutical pharmaceutical industry pharmaceutical technology technology

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An Introduction to Normal-Operating-Zones for Process Monitoring

An Introduction to Normal-Operating-Zones for Process Monito...

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ieee International conference on Industrial Technology (ICIT)

作者： Mengyao Wei Jiandong Wang Ziyang Ma Mingchen Zhu College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China

ISBN: (数字)9798331521950

ISBN: (纸本)9798331521967

Process monitoring plays a major role in ensuring the safety and efficiency of industrial processes. This paper introduces a new concept of normal operating zones for process monitoring. The normal operating zone (NOZ) is a high-dimensional geometric space consisting of variation ranges of multiple related process variables in normal conditions. It provides spatial information among process variables, as an indispensable complement to time information provided by time series of process variables. Abnormality detection and operation guidance for improved efficiency can be realized for multivariate processes by integrating time and spatial information in a visual and transparent way. Experimental and industrial case studies are provided to illustrate the applications of NOZs on threetank systems and power generation units.

关键词： Process monitoring visualization Time series analysis Coal Safety Power generation

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Kinematic Analysis and visualization of 3D Human Pose Estimation on the Web-app

Kinematic Analysis and Visualization of 3D Human Pose Estima...

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International conference on Green Energy, Computing and Sustainable Technology (GECOST)

作者： Gan, Yi Fang Lim, King Hann Pang, Po Ken Nistah, Nong Nurnie Mohd Curtin Univ Malaysia Dept Elect & Comp Engn CDT 250 Miri Sarawak 98009 Malaysia

ISBN: (纸本)9781665486637

Photogrammetry is one of the non-invasive markerless methods applied in postural assessment to measure the dynamical relation of body parts in terms of distance and angles. The use of camera sensing technology replaces visual inspectors to quantify the postural assessment in a more efficient way. To visualize a series of human motion, the proposed web-app automates the process of photogrammetry and generates the kinematic analysis. It allows three-dimensional joints visualization and an interactive kinematic graph for joints correlation. A preliminary postural assessment can be completed via uploading a video or a text file with postural information. The output of the web-app can be used to evaluate the posture of the human from the input data using 3D human joints, distance, and joint movement. In this work, the walking and running patterns were put into practise and examined. Results show that the kinematic analysis is made possible by the visualisation of 3D human joints in euclidean distance and joint angular characteristics.

关键词： Markerless motion system 3D Pose Estimation Kinematic Analysis Web-app development

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Distilled Visual and Robot Kinematics Embeddings for Metric Depth Estimation in Monocular Scene Reconstruction

Distilled Visual and Robot Kinematics Embeddings for Metric ...

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ieee/RSJ International conference on Intelligent Robots and Systems (IROS)

作者： Wei, Ruofeng Li, Bin Mo, Hangjie Zhong, Fangxun Long, Yonghao Dou, Qi Liu, Yun-Hui Sun, Dong City Univ Hong Kong Dept Biomed Engn Hong Kong Peoples R China Chinese Univ Hong Kong Dept Mech & Automat Engn Hong Kong Peoples R China Chinese Univ Hong Kong Dept Comp Sci & Engn Hong Kong Peoples R China Chinese Univ Hong Kong T Stone Robot Inst Hong Kong Peoples R China

ISBN: (数字)9781665479271

ISBN: (纸本)9781665479271

Estimating precise metric depth and scene reconstruction from monocular endoscopy is a fundamental task for surgical navigation in robotic surgery. However, traditional stereo matching adopts binocular images to perceive the depth information, which is difficult to transfer to the soft robotics-based surgical systems due to the use of monocular endoscopy. In this paper, we present a novel framework that combines robot kinematics and monocular endoscope images with deep unsupervised learning into a single network for metric depth estimation and then achieve 3D reconstruction of complex anatomy. Specifically, we first obtain the relative depth maps of surgical scenes by leveraging a brightness-aware monocular depth estimation method. Then, the corresponding endoscope poses are computed based on non-linear optimization of geometric and photometric reprojection residuals. Afterwards, we develop a Depth-driven Sliding Optimization (DDSO) algorithm to extract the scaling coefficient from kinematics and calculated poses offline. By coupling the metric scale and relative depth data, we form a robust ensemble that represents the metric and consistent depth. Next, we treat the ensemble as supervisory labels to train a metric depth estimation network for surgeries (i.e., MetricDepthS-Net) that distills the embeddings from the robot kinematics, endoscopic videos, and poses. With accurate metric depth estimation, we utilize a dense visual reconstruction method to recover the 3D structure of the whole surgical site. We have extensively evaluated the proposed framework on public SCARED and achieved comparable performance with stereo-based depth estimation methods. Our results demonstrate the feasibility of the proposed approach to recover the metric depth and 3D structure with monocular inputs.

关键词： Measurement visualization Three-dimensional displays Endoscopes Robot kinematics Estimation Surgery

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Enhancing Antibiotic Stewardship with Power BI visualization Dashboards: A User Experience Evaluation 12

Enhancing Antibiotic Stewardship with Power BI Visualization...

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12th E-Health and Bioengineering conference, EHB 2024

作者： Hung, Ka Yee Su, Mei Ju Lee, Ya Chi Department of Biomedical Engineering Chung Yuan Christian University Taiwan Department of Pharmacy Ten-Chen General Hospital Taiwan

ISBN: (纸本)9798331532147

As patient numbers rise, managing antibiotic usage and adhering to Antimicrobial Stewardship Program (ASP) guidelines becomes increasingly challenging for healthcare professionals. This study integrates Power BI with Clinical Decision Support Systems (CDSS) to create an Antibiotic Utilization Dashboard, transforming Electronic Health Records (EHR) data into actionable insights. By standardizing data and using interactive visualizations, the dashboard enhances quick-response decision-making, tracks antibiotic trends, and monitors resistance patterns. A five-year dataset was processed in Python and visualized with Power BI, yielding a tool that supports ASP compliance. User feedback via the User Experience Questionnaire (UEQ) showed strengths in Attractiveness and Efficiency but noted security as an area for improvement. To address this, future work includes transitioning the database to MySQL for better data security. This system offers a valuable approach to improving antibiotic stewardship in healthcare settings. © 2024 ieee.

关键词： Electronic health record

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Animating the Narrative: A Review of Animation Styles in Narrative visualization

Animating the Narrative: A Review of Animation Styles in Nar...

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International conference on Visualisation, VIS

作者： Vyri Yang Mahmood Jasim Louisiana State University Baton Rouge Louisiana United States

ISBN: (数字)9798350354850

ISBN: (纸本)9798350354867

Narrative visualization has become a crucial tool in data presentation, merging storytelling with data visualization to convey complex information in an engaging and accessible manner. In this study, we review the design space for narrative visualizations, focusing on animation style, through a comprehensive analysis of 80 papers from key visualization venues. We categorize these papers into six broad themes: Animation Style, Interactivity, Technology Usage, Methodology Development, Evaluation Type, and Application Domain. Our findings reveal a significant evolution in the field, marked by a growing preference for animated and non-interactive techniques. This trend reflects a shift towards minimizing user interaction while enhancing the clarity and impact of data presentation. We also identified key trends and technologies shaping the field, highlighting the role of technologies, such as machine learning in driving these changes. We offer insights into the dynamic interrelations within the narrative visualization domains, and suggest future research directions, including exploring non-interactive techniques, examining the interplay between different visualization elements, and developing domain-specific visualizations.

关键词： Reviews Visual analytics Merging Data visualization Focusing Machine learning Animation Market research

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