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检索条件"任意字段=Proceedings of the 16th International Conference on 3D Web Technology"

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A Plausibility Study of Using Augmented Reality in the Ventriculoperitoneal Shunt Operations 16

A Plausibility Study of Using Augmented Reality in the Ventr...

引用

16th international conference on Knowledge and Smart technology, KST 2024

作者： dorji, Tandin Aimrnanee, Pakinee Yindeedej, Vich School of Information Computer and Communication Technology Sirindhorn International Institute of Technology Thammasat University Thailand Thammasat University Thammasat Chalermprakiat Hospital Faculty of Medicine Department of Neurosurgery Thailand

ISBN: (纸本)9798350370737

the field of augmented reality (AR) has undergone substantial growth, finding diverse applications in the medical industry. this paper delves into various techniques employed in medical surgeries, scrutinizing factors such as cost, implementation, and accessibility. the focus of this exploration is on AR-based solutions, with a particular emphasis on addressing challenges and proposing an innovative solution for ventriculoperitoneal shunt (VP) operations. the proposed solution introduces a novel flow in the pre-surgery phase, aiming to substantially reduce setup time and operation duration by creating 3d models of the skull and ventricles. Experiments are conducted where the models are visualized on a 3d-printed skull through an AR device, specifically the Microsoft HoloLens 2. the paper then conducts an in-depth analysis of this proposed solution, discussing its feasibility, advantages, limitations, and future implications. © 2024 IEEE.

关键词： Augmented reality

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Enhancing 3d Printing Infill Quality through Advanced Machine Learning 16

Enhancing 3D Printing Infill Quality through Advanced Machin...

引用

16th international conference on Electronics, Computers and Artificial Intelligence, ECAI 2024

作者： Wang, Alexander Wei, An-Tsun Wang, Hui Chi, Hongmei Maclay School TallahasseeFL32312 United States Florida State University College of Engineering TallahasseeFL32307 United States Florida A&m University Dept. of Comp. & Info Sciences TallahasseeFL32307 United States

ISBN: (纸本)9798350371154

As 3d printing technology revolutionizes manufacturing processes, the quest for improving print quality remains paramount. this research paper explores novel avenues for enhancing infill quality in 3d printing by applying advanced machine-learning techniques. Traditional infill patterns often face structural integrity and overall print performance challenges. Leveraging machine learning algorithms, we propose a comprehensive approach to optimize infill patterns based on critical parameters such as printing speed, Acceleration, and material utilization. this study underscores the transformative potential of artificial intelligence in the realm of 3d printing, paving the way for more innovative and sustainable manufacturing practices. the research establishes algorithms to support quality control for optimizing 3d printing parameters, predicting mechanical performance, and evaluating 3d-printed products. We allow the end-user and practitioner to reduce the calibration (ramp-up) time to obtain the part with good infill quality and improve the productivity of part production. © 2024 IEEE.

关键词： Machine learning

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Sixteenth international conference on Graphics and Image Processing, ICGIP 2024

Sixteenth International Conference on Graphics and Image Pro...

引用

2024 16th international conference on Graphics and Image Processing, ICGIP 2024

ISBN: (纸本)9781510688773

the proceedings contain 95 papers. the topics discussed include: research on a portable automatic aircraft surface damage detection technology;Mask-Patchcore: a robust anomaly detection model focusing on interested region;monocular 3d object detection via object edge information;a driver fatigue detection method based on improved Kalman filter algorithm under infrared conditions;camouflaged object detection via local features and selective fusion;double-Click: dual-click iteration and dual-branch networks for interactive segmentation;a novel multi-scale 3d segmentation network based on vascular skeleton assistance;a stroke lesion segmentation method based on multi-scale and cascade attention mechanisms;and MedSegKAN: a superior medical image segmentation method based on the improved KAN structure.

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EdUVISOR: web application to manage visual content in teacher pedagogy using Speech To Text and Large Language Models 15

EDUVISOR: Web application to manage visual content in teache...

引用

decima Quinta Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, CICIC 2025 en el contexto de the 16th international Multi-conference on Complexity, Informatics, and Cybernetics, IMCIC 2025 - 15th Ibero-American conference on Complexity, Informatics and Cybernetics, CICIC 2025 in the context of the 16th international Multi-conference on Complexity, Informatics, and Cybernetics, IMCIC 2025

作者： Cardozo, Jhon M. Cuentas, Patrick J. Barrientos, Alfredo Facultad de Ingeniería Universidad Peruana de Ciencias Aplicadas Lima15023 Peru

ISBN: (纸本)9781950492824

this study introduces EduVisor, a web application that uses speech recognition technology and artificial intelligence language models to help teachers manage and create visual content in real time during their classes. EduVisor automatically converts the teacher's voice into text and generates images, graphics and 3d models that are projected to complement teaching. A pilot test with university professors indicated high satisfaction with the application, highlighting its ease of use and the quality of the content generated. the results suggest that EduVisor could revolutionize university pedagogy by integrating advanced technologies in the classroom. Copyright 2025. © por el international Institute of Informatics and Systemics.

关键词： Teaching

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the Harmonized Parabolic Synthesis with Squaring Shrunk Method for Inverse Square Root 16

The Harmonized Parabolic Synthesis with Squaring Shrunk Meth...

引用

16th international conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2024

作者： Mao, Bohuan Luo, Jun Wang, Hao Li, Yuansheng Wang, Zhizhe Chang, Sheng China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou China Wuhan University School of Physics and Technology Wuhan China

ISBN: (纸本)9798331540241

In linear algebra, inverse square root is highly convenient for normalizing a vector. A normalized vector is crucial in calculations involving reflections, such as in 3d graphics rendering. An increase in computation speed for these tasks translates into faster rendering or higher-precision rendering. this paper adopts the Harmonized Parabolic Synthesis method(HPS) and introduces the vertex form of the parabolic equation to implement the inverse square root on FPGA. through precision analysis and hardware implement results, it has been demonstrated that this approach reduces hardware resources compared to traditional HPS, while also improving precision and computation speed compared to the Newton-Raphson method. © 2024 IEEE.

关键词： Newton-Raphson method

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Efficient 3d Object Synthesis and Modeling through Generative Adversarial Networks 16

Efficient 3D Object Synthesis and Modeling Through Generativ...

引用

16th international conference on Knowledge and Smart technology, KST 2024

作者： Kumar, Lalit Singh, dushyant Kumar MNNIT Allahabad Department of CSE Uttar Pradesh Prayagraj India

ISBN: (纸本)9798350370737

the synthesis and modeling of 3d object is many a time a crucial need in vision and graphics applications. Traditionally, generating 3d representations involves the use of infrared or depth-sensing cameras to establish a foundational structure, followed by manual refinement using 3d modeling software such as CAd and Blender. this method is labor-intensive. therefore, exploring more efficient 3d object synthesis and modeling methods is imperative in the realms of graphics and computer vision. Employing learning-based techniques particularly generative adversarial networks (GANs), offers a promising avenue. GAN undergoes training in an adversarial setup across multiple iterations which enable it to learn features from the training dataset to a degree where distinguishing between dataset points and a generated output becomes challenging. Leveraging this capability of GANs facilitates the optimization of the object modeling process, allowing for the unsupervised creation of object models in three-dimensional space with minimal or no human intervention. In this manuscript, we introduce a Generative Adversarial Network (GAN) model designed for the generation of 3d images from 2d inputs. Our approach involves creating a lightweighted generator and a discriminator model to generate an efficient 3d object using 2d object with minimum time. the generator incorporates a 3d shape generator, viewpoint generator, and projection module to produce a three-dimensional representation of an object. this paper has also covered a comparative analysis of proposed model with the previous model by evaluating and comparing chamfer distance of various object. © 2024 IEEE.

关键词： Generative adversarial networks

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CALFNet: A Light Field Reconstruction Method Based On Channel Attention Mechanism 16

CALFNet: A Light Field Reconstruction Method Based On Channe...

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2024 16th international conference on Graphics and Image Processing, ICGIP 2024

作者： Gao, Yuxuan Chen, Zhihong Zhang, Haiwei School of Integrated Circuit Science and Engineering Tianjin University of Technology China

ISBN: (数字)9781510688780

ISBN: (纸本)9781510688773

Light field reconstruction, a crucial domain in computer vision, generates 3d models of real-world scenes by combining multi-view images. Multi-view stereo technology is essential in this process, leveraging images from various angles to reconstruct 3d structures. It is widely used in applications such as cultural heritage preservation, robotics, and virtual reality. However, current methods often depend on rigid feature extraction and fusion techniques, restricting their capacity to fully exploit the rich multi-view data. this frequently results in blurred reconstructions, particularly in complex scenes with intricate edges and contours. To address these limitations, we propose CALFNet, a novel light field reconstruction method based on a channel attention mechanism. CALFNet combines this attention mechanism with a detail loss module, enabling the network to prioritize crucial channel information and edge features. this significantly enhances the accuracy and completeness of 3d reconstructions from multi-view images. Experiments on the dTU 3d reconstruction dataset demonstrate that CALFNet improves overall accuracy by 2.4% compared to existing methods. Additionally, tests on the Tanks and Temples dataset demonstrate the model's strong generalization capabilities, effectively handling diverse reconstruction tasks across various scenarios. this advancement paves the way for new applications in fields such as cultural heritage, robotics, and virtual reality. © 2025 SPIE.

关键词： Stereo image processing

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Research Trends and Emerging themes of data Repository for Research data Management Services in Higher Education: a Bibliometric Analysis 24

Research Trends and Emerging Themes of Data Repository for R...

引用

16th international conference on Education technology and Computers

作者： Qiu, Vivian Yifei Tse, Alex Wing Cheung Univ Hong Kong Hong Kong Peoples R China Univ Hong Kong Fac Educ Hong Kong Peoples R China

ISBN: (纸本)9798400717819

Research data management (RdM) has become an important service for research support in higher education. data repository is a prevailing and emerging tool in implementing RdM services. this study performed a bibliometric analysis on literature related to data repository for research data management services, using the bibliometric visualization tool of VOS Viewer to reveal the research trends and emerging themes of this area. the bibliometric data was identified and exported from the web of Science Core Collection database, comprising 199 journal articles published from 2013 to 2023. this study covers two parts of analysis: firstly, by analyzing the keyword clusters and keyword frequency, leading research trends of data repository for RdM services were identified with the analysis of each cluster. Secondly, the yearly distribution of keywords with the evolution over time was analyzed to determine the emerging themes. the results identified four research trends of data repository for RdM services: 1) library as a key role of the data repository services provider;2) Findability, Accessibility, Interoperability, and Reusability (FAIR) principles;3) open data & data sharing;and 4) disciplinary data repository;and two emerging themes: 1) data repository services in the medical discipline;and 2) the publicity and visibility of data repository by the registry. Based on the "FAIR" which is the core principle of this field, this study summarized the framework for the reasons and requirements of data repository for research data management services.

关键词： data repository Research data management Research support services Bibliometric analysis Information technology in higher education

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Research on a webGL-based 3d Intelligent Traffic Intersection Visualization System 4

Research on a WebGL-based 3D Intelligent Traffic Intersectio...

引用

4th IEEE international conference on Information technology, Big data and Artificial Intelligence, ICIBA 2024

作者： Li, Chunming Gao, Yueteng Zhan, Li Yuan, Songling Hebei University of Science and Technology School of Information Science and Engineering China Hebei Province Semiconductor Display Application Technology Innovation Center China

ISBN: (纸本)9798350363586

Road traffic is an essential part of human society;as urbanization accelerates, traffic issues increasingly become a significant bottleneck for urban development. To facilitate traffic management, leveraging the advantages of the next-generation web 3d graphics standard webGL, combined with the flexible interface design of the Quasar framework and the GPU hardware-accelerated 3d graphics library ***, a webGL-based 3d Intelligent Traffic Intersection Visualization System has been designed. the main functions of this system include digitizing the actual road traffic system to create a virtual model resembling reality, enabling arbitrary rotation and translation of the 3d intersection model on the web, as well as scaling the model up and down. Additionally, selecting the information display of road infrastructure serves as the main interactive design, presenting data such as fault records, traffic light timing, and violation information in a more intuitive manner. © 2024 IEEE.

关键词： Visualization

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MoViAn: Advancing Human Motion Analysis with 3d Visualization and Annotation 1

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16th international conference on Ubiquitous Computing and Ambient Intelligence

作者： di Qi, Trudi Browen, Isaac Zhang, david Camarillo-Abad, Hector M. Cibrian, Franceli L. Chapman Univ Fowler Sch Engn Orange CA 92866 USA

ISBN: (数字)9783031775710

ISBN: (纸本)9783031775703;9783031775710

Human motion analysis, including data visualization and annotation, is crucial for understanding human behavior and intentions during various activities, aiding in the development of innovative tools that support independent living. Current wearable sensing technology provides rich 3d spatial movement data but generates multimodal complex datasets that require specialized skills for effective analysis. despite the need, limited research exists on tools for effective visualization and easy annotation of such complex motion data. MoViAn (Motion data Visualization and Annotation) is an innovative 3d data analysis system offering enriched visual representations of 3d human motion data (e.g., gaze, hand movements), along with an interactive user interface for data annotation. this paper presents a user study with 11 participants and demonstrates that MoViAn facilitates data annotation of human motion effectively through both quantitative and qualitative assessments. Specifically, gaze visualization improves annotation accuracy by 18.23%, while hand-tracing visualization increases annotation speed by 28.05% compared to a controlled setting. these findings highlight MoViAn's potential for handling multimodal human motion data, paving the way for developing innovative tools that provide real-time monitoring and assessment of physical activities to support independent living.

关键词： Human motion analysis Activity recognition data visualization and annotation User interface Usability evaluation

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