To solve the problem of static anddynamic errors of non-line-of-sight (NLOS) target positioning in 3d indoor ultra-wideband positioning (UWB) process, a wired clock synchronization 3d indoor positioning measurement m...
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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...
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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 appl...
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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 re...
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 anddual-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.
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 ...
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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 establis...
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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 fr...
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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 bibliomet...
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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 withthe analysis of each cluster. Secondly, the yearly distribution of keywords withthe 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 summarizedthe framework for the reasons and requirements of data repository for research data management services.
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 advan...
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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 inde...
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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 3ddata 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 anddemonstrates 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.
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