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检索条件"任意字段=International Conference on Computer Graphics, Imaging and Visualization"

共 12078 条记录，以下是471-480 订阅

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Design and Evaluation of a Hybrid Adder Employing the Power Gating Method

Design and Evaluation of a Hybrid Adder Employing the Power ...

引用

Visual Analytics and Data visualization (ICVADV), international conference on

作者： Sowmiya K S.Praveen Kumar T. Aravind S. Ramya Department of Electronics and Communication Engineering Saveetha Engineering College Chennai India

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

The multiplexers (mux) select the final sum and carry, rendering the CSLA an inefficient area adder. Two rows of ripple carry adders are present. While the suggested AFPL logic can reduce power dissipation in the CBL based SQRT CSLA, the CBL based SQRT CSLA is preferred to address the problems of area efficiency and latency. The major objective is to use AFPL logic to develop a CBL-based SQRT CSLA-hybrid adder that will increase speed and reduce power dissipation.

关键词： Multiplexing Visual analytics Data visualization Logic gates Rendering (computer graphics) CMOS technology Hybrid power systems Power dissipation Logic Adders

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Empowering data structure visualization through modification in Python

Empowering data structure visualization through modification...

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international conference on Computing and Networking Technology (ICCNT)

作者： Harsha Vardhan Puvvadi Hari Prasad Angala Bandi Vishnu Swaroop Busa Thanuj Sathwik Reddy Meena Belwal Department of Computer Science and Engineering Amrita School of Computing Bengaluru India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

This article introduces a novel approach to data structure visualization through the development of a new programming language, utilizing Python’s Lex-YACC library for lexical analysis and parsing, and the Turtle module for graphics in the backend. The proposed language enables users to visualize various data structures such as arrays, stacks, and queues, along with their operations, facilitating a deeper understanding of these fundamental concepts in computer science. By combining the power of a custom scripting language with Python’s versatile libraries, this research aims to empower users to interactively explore and comprehend complex data structures through intuitive visualizations.

关键词： visualization Data visualization Libraries Real-time systems Grammar Performance analysis Dynamic programming Arrays Graphical user interfaces Python

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MRI Image-Based Brain Tumor Classification Using Transfer Learning and XAI 3rd

MRI Image-Based Brain Tumor Classification Using Transfer Le...

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3rd international conference on Trends in Electronics and Health Informatics, TEHI 2023

作者： Rayhan, Masum Mondal, Saykat Pinki, Farhana Tazmim Computer Science and Engineering Discipline Khulna University Sher-E-Bangla Rd Khulna9208 Bangladesh

ISBN: (纸本)9789819739363

Brain tumors, particularly those of the highest grade, can substantially lower life expectancy. A precise diagnosis is required for individuals with brain tumors to receive the best possible care. The conventional way of diagnosing brain tumors is Magnetic Resonance imaging (MRI) while recent tumor detection models leverage Convolution Neural Networks (CNN) and pre-trained models, many prioritize accuracy over providing explanation and interpretability. This paper addresses these shortcomings by proposing an innovative approach to the categorization of brain tumors by exploring transfer learning and Explainable Artificial Intelligence (XAI). The study uses the top five pre-trained models to classify three different types of tumors: VGG16, ResNet50, Xception, InceptionV3 and DenseNet201. Notably, a customized VGG16 model obtains a promising test accuracy of 99.04%, which is comparable to top literature scores. A significant contribution of this work is the integration of the top three explainable AI tools: Gradient-weighted Class Activation Mapping (Grad-CAM), Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP). These tools enhance visualization and provide valuable explanations for model predictions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Magnetic resonance imaging

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14th international conference on Ambient Systems, Networks and Technologies Networks, ANT 2023 and The 6th international conference on Emerging Data and Industry 4.0, EDI40 2023

14th International Conference on Ambient Systems, Networks a...

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14th international conference on Ambient Systems, Networks and Technologies Networks, ANT 2023 and The 6th international conference on Emerging Data and Industry 4.0, EDI40 2023

The proceedings contain 147 papers. The topics discussed include: valuation of unpaid time savings on toll roads using transport model;secure multi-party computation for magnetic resonance imaging classification;a big data analytics-based methodology for social sustainability impacts evaluation: a case study;image classification with transfer learning using a custom dataset: comparative study;anomaly-based intrusion detection system using one-dimensional convolutional neural network;smart monitoring of wireless environments with real-time aggregation and analysis;hourly forecasting of traffic flow rates using spatial temporal graph neural networks;simulator for time-triggered organic computing;optimization of demand-responsive transport: the rolling horizon approach;and development of a visualization tool for the integrated transport and land use model: insights from a COVID-19 scenario analysis.

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Village Web 3D visualization System Based on Cesium 4th

Village Web 3D Visualization System Based on Cesium

引用

4th international conference on Spatial Data and Intelligence, SpatialDI 2023

作者： Qu, Guoxing He, Jie Wang, Jiarong School of Geography and Planning Ningxia University Ningxia750021 China

ISBN: (纸本)9783031329098

Cesium is currently the popular open source 3D map engine which widely used in 3D WebGIS and other fields. With the promotion of digital village development, the build of village network 3D information system is in full swing. In this paper, we apply 3D model data organization and load scheduling, single tilt photography 3D model and video stream and 3D scene fusion technology to develop a digital village 3D geographic information system based on Cesium open source 3D map engine. Taking Kangle Village, Shapotou District, Zhongwei City, Ningxia as an example, the results show that the real-time frame rate of system visualization is stable at about 35 FPS, which realizes the dynamic scheduling, real-time rendering, viewshed analysis and measurement of village 3D model and lays a foundation for the construction of digital and even smart village. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Three dimensional computer graphics

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3D visualization of Indoor Thermal Environment with UE5

3D Visualization of Indoor Thermal Environment with UE5

引用

IEEE international conference on Orange Technologies (ICOT)

作者： Xu Pushi Computer Science and Information Engineering Tamkang University Taichuang Taiwan China

ISBN: (数字)9798331523602

ISBN: (纸本)9798331523619

This study focuses on the development of an advanced indoor thermal environment visualization system utilizing UE5, leveraging various blueprint features such as character blueprints and widget blueprints to implement interactive functionalities and dynamic simulations. The system effectively simulates indoor and outdoor heat transfer processes, allowing users to visualize and analyze key parameters of building facades with high accuracy. By providing intuitive thermal environment data, it aids in informed decision-making for architectural designs. Future work will focus on enhancing thermal calculation accuracy, streamlining data import workflows, and improving interactivity to create a more robust and user-friendly system for advanced thermal simulations.

关键词： Accuracy Three-dimensional displays Decision making Data visualization Rendering (computer graphics) Steady-state Windows Thermal analysis Optimization Heat transfer

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Sparse Noise Texture-Base visualization of Image Spaces Advection

Sparse Noise Texture-Base Visualization of Image Spaces Adve...

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international conference on computer Engineering and Applications (ICCEA)

作者： Ziyan He Yunpeng Li Sheng Zhang Biaosong Chen State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology Dalian China

ISBN: (数字)9798350386776

ISBN: (纸本)9798350386783

Texture-based visualization methods are frequently utilized in the field of flow field data visualization. This study proposes an image space advection algorithm based on sparse noise textures to address the limitations of line integral convolution (LIC) algorithm in expressing directionality. The algorithm involves generating grayscale texture images with short integration step lengths using LIC algorithm and filtering them to produce sparse noise images. The graphics obtained from image space advection are blended with sparse noise images to enable the observation of flow field directions through dynamic images. The gray images are then mapped with vector field data to the HSV color space and converted to RGB, resulting in color images. The proposed method for image space advection, which is based on sparse noise textures, effectively conveys the flow direction of the flow field. The experimental results support the effectiveness of this method. This method addresses the limitations of traditional texture images in expressing directionality. Furthermore, by utilizing the algorithm on the GPU, it achieves real-time rendering computational efficiency.

关键词： Convolution Image color analysis Heuristic algorithms Computational modeling Data visualization graphics processing units Gray-scale

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FIRE-3DV: Framework-Independent Rendering Engine for 3D graphics Using Vulkan

FIRE-3DV: Framework-Independent Rendering Engine for 3D Grap...

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IEEE international conference on Robotic Computing (IRC)

作者： Christopher John Allison Haoying Zhou Adnan Munawar Peter Kazanzides Juan Antonio Barragan Khoury College of Computer Sciences Northeastern University Boston MA USA Department of Robotics Engineering Worcester Polytechnic Institute Worcester MA USA Department of Computer Science Johns Hopkins University Baltimore MD USA

ISBN: (数字)9798331521554

ISBN: (纸本)9798331521561

Interactive dynamic simulators are an accelerator for developing novel robotic control algorithms and complex systems involving humans and robots. In user training and synthetic data generation applications, high-fidelity visualizations from the simulation are essential. Yet, robotic simulators often limit their rendering algorithms to preserve real-time interaction with the simulation. Advancements in graphics Processing Units (GPU) enable improved visualization without compromising performance. However, these advancements cannot be fully leveraged in simulation frameworks that use legacy graphics application programming interfaces (API) to interface with the GPU. This paper presents a performance-focused and lightweight rendering engine supporting the modern Vulkan graphics API that can be easily integrated with other simulation frameworks to enhance visualizations. To illustrate the proposed method, our engine is used to modernize the legacy rendering pipeline of the Asynchronous Multi-Body Framework (AMBF), a dynamic simulation framework used extensively for interactive robotics simulation development. This new rendering engine implements graphical features such as physically based rendering (PBR), anti-aliasing, and ray-traced shadows, significantly improving the image fidelity of AMBF. Computational experiments show that the engine can render a simulated scene with over seven million triangles while maintaining GPU computation times within two milliseconds.

关键词： Training Three-dimensional displays Heuristic algorithms graphics processing units Data visualization Rendering (computer graphics) Robots Engines Application programming interfaces Synthetic data

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Evaluation of Portable Programming Models to Accelerate LArTPC Detector Simulations 20

Evaluation of Portable Programming Models to Accelerate LArT...

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20th international Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT)

作者： Dong, Zhihua Knoepfel, Kyle Lin, Meifeng Viren, Brett Yu, Haiwang Brookhaven Natl Lab Comp Sci Initiat Upton NY 11973 USA Fermilab Natl Accelerator Lab Comp Sci Div Batavia IL 60510 USA Brookhaven Natl Lab Dept Phys Upton NY 11973 USA

The Liquid Argon Time Projection Chamber (LArTPC) technology is widely used in high energy physics experiments, including the upcoming Deep Underground Neutrino Experiment (DUNE). Accurately simulating LArTPC detector responses is essential for analysis algorithm development and physics model interpretations. Accurate LArTPC detector response simulations are computationally demanding, and can become a bottleneck in the analysis workflow. Compute devices such as General-Purpose graphics Processing Units (GPGPUs) have the potential to substantially accelerate simulations compared to traditional CPU-only processing. The software development for these compute accelerators often carries the cost of specialized code refactorization and porting to match the target hardware architecture. With the rapid evolution and increased diversity of the computer architecture landscape, it is highly desirable to have a portable solution that also maintains reasonable performance. We report our ongoing effort in evaluating Kokkos as a basis for this portable programming model using LArTPC simulations in the context of the Wire-Cell Toolkit, a C++ library for LArTPC simulations, data analysis, reconstruction and visualization.

关键词： Data visualization

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NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes

NeRFMeshing: Distilling Neural Radiance Fields into Geometri...

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international conference on 3D imaging, Modeling, Processing, visualization and Transmission (3DIMPVT)

作者： Marie-Julie Rakotosaona Fabian Manhardt Diego Martin Arroyo Michael Niemeyer Abhijit Kundu Federico Tombari Google TU Munich

ISBN: (数字)9798350362459

ISBN: (纸本)9798350362466

With the introduction of Neural Radiance Fields (NeRFs), novel view synthesis has recently made a big leap forward. At the core, NeRF proposes that each 3D point can emit radiance, allowing to conduct view synthesis using differentiable volumetric rendering. While neural radiance fields can accurately represent 3D scenes for computing the image rendering, 3D meshes are still the main scene representation supported by most computer graphics and simulation pipelines, enabling tasks such as real time rendering and physics-based simulations. Obtaining 3D meshes from neural radiance fields still remains an open challenge since NeRFs are optimized for view synthesis, not enforcing an accurate underlying geometry on the radiance field. We thus propose a novel compact and flexible architecture that enables easy 3D surface reconstruction from any NeRF-driven approach. Upon having trained the radiance field, we distill the volumetric 3D representation into a Signed Surface Approximation Network, allowing easy extraction of the 3D mesh and appearance. Our final 3D mesh is physically accurate and can be rendered in real time on an array of devices.

关键词： Training Surface reconstruction Solid modeling Three-dimensional displays Pipelines computer architecture Rendering (computer graphics)

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