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Geodesign in the era of artificial intelligence

Frontiers of urban and rural planning 2025年第1期3卷 4页

作者： Xinyue Ye Tianchen Huang Yang Song Xin Li Galen Newman Zhongjie Lin Dayong Jason Wu Department of Landscape Architecture and Urban Planning & Center for Geospatial Sciences Applications and Technology Texas A&M University College Station TX 77840 USA. Section of Visual Computing and Computational Media School of Performance Texas A&M University Visualization and Fine Arts College Station TX 77840 USA. Weitzman School of Design University of Pennsylvania Philadelphia PA 19104 USA. Research & Implementation Texas A&M Transportation Institute Dallas TX 75251 USA.

This paper explores the evolution of Geodesign in addressing spatial and environmental challenges from its early foundations to the recent integration of artificial intelligence (AI). AI enhances existing Geodesign methods by automating spatial data analysis, improving land use classification, refining heat island effect assessment, optimizing energy use, facilitating green infrastructure planning, and generating design scenarios. Despite the transformative potential of AI in Geodesign, challenges related to data quality, model interpretability, and ethical concerns such as privacy and bias persist. This paper highlights case studies that demonstrate the application of AI in Geodesign, offering insights into its role in understanding existing systems and designing future changes. The paper concludes by advocating for the responsible and transparent integration of AI to ensure equitable and effective Geodesign outcomes.

关键词： Artificial Intelligence Ethics Geodesign Spatial planning

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Dynamic Fracture Mechanisms in Nanostructured and Amorphous Silica Glasses Million-Atom Molecular Dynamics Simulations

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MRS Online Proceedings Library 2011年第1期703卷 1-6页

作者： Laurent Van Brutzel Cindy L. Rountree Rajiv K. Kalia Aiichiro Nakano Priya Vashishta Concurrent Computing Laboratory for Materials Simulations Biological Computation and Visualization Center Department of Physics and Astronomy Department of Computer Science Louisiana State University Baton Rouge Louisiana USA

Parallel molecular dynamics simulations are performed to investigate dynamic fracture in bulk and nanostructured silica glasses at room temperature and 1000 K. In bulk silica the crack front develops multiple branches and nanoscale pores open up ahead of the crack tip. Pores coalesce and then they merge with the advancing crack-front to cause cleavage fracture. The calculated fracture toughness is in good agreement with experiments. In nanostrucutred silica the crack-front meanders along intercluster boundaries, merging with nanoscale pores in these regions to cause intergranular fracture. The failure strain in nanostructured silica is significantly larger than in the bulk systems.

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A surrogate model for gravitational wave signals from comparable- to large-mass-ratio black hole binaries

arXiv

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arXiv 2019年

作者： Rifat, Nur E.M. Field, Scott E. Khanna, Gaurav Varma, Vijay Department of Physics and Center for Scientific Computing & Visualization Research University of Massachusetts DartmouthMA02747 United States Department of Mathematics Center for Scientific Computing & Visualization Research University of Massachusetts DartmouthMA02747 United States Theoretical Astrophysics California Institute of Technology PasadenaCA91125 United States

Gravitational wave signals from compact astrophysical sources such as those observed by LIGO and Virgo require a high-accuracy, theory-based waveform model for the analysis of the recorded signal. Current inspiral-merger-ringdown models are calibrated only up to moderate mass ratios, thereby limiting their applicability to signals from high-mass ratio binary systems. We present EMRISur1dq1e4, a reduced-order surrogate model for gravitational waveforms of 13, 500M in duration and including several harmonic modes for non-spinning black hole binary systems with mass-ratios varying from 3 to 10, 000 thus vastly expanding the parameter range beyond the current models. This surrogate model is trained on waveform data generated by point-particle black hole perturbation theory (ppBHPT) both for large mass-ratio and comparable mass-ratio binaries. We observe that the gravitational waveforms generated through a simple application of ppBHPT to the comparable mass-ratio cases agree remarkably (and surprisingly) well with those from full numerical relativity after a rescaling of the ppBHPT’s total mass parameter. This observation and the EMRISur1dq1e4 surrogate model will enable data analysis studies in the high-mass ratio regime, including potential intermediate mass-ratio signals from LIGO/Virgo and extreme-mass ratio events of interest to the future space-based observatory LISA. Copyright © 2019, The Authors. All rights reserved.

关键词： Stars

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Topological Methods in Data Analysis and visualization III 1

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丛书名： Mathematics and visualization

1000年

作者： Peer-Timo Bremer Ingrid Hotz Valerio Pascucci Ronald Peikert

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CV4FEE: Flood Extent Estimation Using Consensus Voting in Ensemble of Methods for Change Detection in Sentinel-1 GRD SAR Images

CV4FEE: Flood Extent Estimation Using Consensus Voting in En...

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Asian and Pacific Conference on Synthetic Aperture Radar (APSAR)

作者： Ragesh Thangavel Jaya Sreevalsan-Nair Center for Information Technology and Public Policy IIIT Bangalore Bangalore India Graphics-Visualization-Computing Lab IIIT Bangalore Bangalore India

ISBN: (纸本)9781728173344

There are several methods for finding flooded areas using change detection from C-band Sentinel-l temporal GRDH Synthetic Aperture Radar (SAR) images. Using these methods, an automatic flood extent mapping is obtained through differences between multiple time instances of SAR images, which itself is processed to remove noise and isolated pixels. While a few selected methods give comparable results using similar approaches, it is difficult to determine the best result amongst them. Hence, we propose CV4FEE, which is a consensus voting (CV) of outcomes from an ensemble of flood extent estimation (FEE) methods. We select three different state-of-the-art FEE methods, based on a specific criterion. We then use different consensus voting functions to compute deterministic as well as probabilistic flood extent maps, thus accounting for uncertainty in computation in selected methods. We demonstrate our results of flood area estimation in two different flooding events in India, namely the Hyderabad flood and the Nivar cyclone, in 2020. We show that the probabilistic maps give flood extent estimation that confirms the GEE4FLOOD results, qualitatively. Our method successfully demonstrates the uncertainty in the estimation process.

关键词： Uncertainty Systematics Estimation Lakes Probabilistic logic Reservoirs Radar polarimetry

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A general approach to model biomedical data from 3D unorganised point clouds with Medial Scaffolds

A general approach to model biomedical data from 3D unorgani...

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2nd Eurographics Workshop on Visualcomputing in Biology and Medicine, EG VCBM 2010

作者： Leymarie, Frederic Fol Chang, Ming-Ching Imielinska, Celina Kimia, Benjamin B. Computing Dept. Goldsmiths College University of London United Kingdom Visualization and Computer Vision Lab. General Electric Global Research Center Niskayuna NY United States Department of Biomedical Informatics Columbia University United States Division of Engineering Brown University United States

ISBN: (纸本)9783905674286

We present the latest developments in modeling 3D biomedical data via the Medial Scaffold (MS), a 3D acyclic oriented graph representation of the Medial Axis (MA) [LK07, SP08]. TheMS (and associated 3DMA) can be computed as the result of the singularities of a geometric wave propagation simulation. We consider here some of the potential applications of this shape model in the realm of biomedical imaging. We can reconstruct complex object surfaces and make explicit the coarse-scale structures, which are ready-to-use in a number of practical applications, including: morphological measurement for cortex or bone thickness, centerline extraction (curve skeleton) for tracheotomy or colonoscopy, surface partitioning for cortical or anatomical surface classification, as well as registration and matching of shapes of tumors or carpal bones. TheMS permits to automatically and efficiently map an unorganised point cloud, i.e., simple 3D coordinates of point samples, to a coherent surface set and associated approximateMA. The derivedMS is used to further recover significant medium and large scale features, such as surface ridges and main axial symmetries. The radius field of theMS provides an intuitive definition for morphological measurements, while the graph structure made explicit by theMS is useful for shape registration and matching applications. © The Eurographics Association 2010.

关键词： Wave propagation

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A spreadsheet interface for visualization exploration 00

A spreadsheet interface for visualization exploration

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Proceedings of the conference on visualization '00

作者： T. J. Jankun-Kelly Kwan-Liu Ma Computer Science Department Visualization and Graphics Research Group. Center for Image Processing and Integrated Computing University of California Davis CA

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Space-time collocation method: Loop quantum hamiltonian constraints

arXiv

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arXiv 2020年

作者： Yonika, A. Heryudono, A. Khanna, G. Department of Physics Center for Scientific Computing and Visualization Research University of Massachusetts Dartmouth 285 Old Westport Road North DartmouthMA02747 United States Department of Mathematics Center for Scientific Computing and Visualization Research University of Massachusetts Dartmouth 285 Old Westport Road North DartmouthMA02747 United States

A space-time collocation method (STCM) using asymptotically-constant basis functions is proposed and applied to the quantum Hamiltonian constraint for a loop-quantized treatment of the Schwarzschild interior. Canonically, these descriptions take the form of a partial-difference equation (PDE). The space-time collocation approach presents a computationally efficient, convergent, and easily parallelizable method for solving this class of equations, which is the main novelty of this study. Results of the numerical simulations will demonstrate the benefit from a parallel computing approach;and show general exibility of the framework to handle arbitrarily-sized domains. Computed solutions will be compared, when applicable, to a solution computed in the conventional method via iteratively stepping through a predefined grid of discrete values, computing the solution via a recursive relationship. Copyright © 2020, The Authors. All rights reserved.

关键词： Gravitation

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SQUEEZE: fast and progressive decompression of triangle meshes

SQUEEZE: fast and progressive decompression of triangle mesh...

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Computer Graphics International

作者： R. Pajarola J. Rossignac Information & Computer Science University of California Irvine USA Graphics Visualization & Usability Center College of Computing Georgia Institute of Technology USA

An ideal triangle mesh compression technology would simultaneously support the following objectives: (1) progressive refinements of the received mesh during decompression, (2) nearly optimal compression ratios for both geometry and connectivity, and (3) in-line, real-time decompression algorithms for hardware or software implementations. Because these three objectives impose contradictory constraints, previously reported efforts have focused primarily on one (sometimes two) of these objectives. The SQUEEZE technique introduced in this paper addresses all three constraints simultaneously, and attempts to provide the best possible compromise. For a mesh of T triangles, SQUEEZE compresses the connectivity to 3.7T bits, which is competitive with the best progressive compression techniques reported so far. The geometric prediction error encoding technique introduced in this paper leads to a geometry compression that is improved by 20% over that of previous schemes. Our initial implementation on a 300-MHz CPU achieved a decompression rate of up to 46,000 triangles per second. SQUEEZE downloads a model through a number of successive refinement stages, providing the benefit of progressivity.

关键词： Hardware Encoding Bandwidth Geometry Image coding Shape Solid modeling Computer science Computer graphics visualization

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Animating Sand, Mud, and Snow

arXiv

引用

arXiv 2023年

作者： Sumner, Robert W. O’Brien, James F. Hodgins, Jessica K. College of Computing and Graphics Visualization Usability Center Georgia Institute of Technology 801 Atlantic Drive AtlantaGA30332-0280 United States

Computer animations often lack the subtle environmental changes that should occur due to the actions of the characters. Squealing car tires usually leave no skid marks, airplanes rarely leave jet trails in the sky, and most runners leave no footprints. In this paper, we describe a simulation model of ground surfaces that can be deformed by the impact of rigid body models of animated characters. To demonstrate the algorithms, we show footprints made by a runner in sand, mud, and snow as well as bicycle tire tracks, a bicycle crash, and a falling runner. The shapes of the footprints in the three surfaces are quite different, but the effects were controlled through only five essentially independent parameters. To assess the realism of the resulting motion, we compare the simulated footprints to video footage of human footprints in sand. © 2023, CC BY-SA.

关键词： Animation

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