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A Novel Room Re-Layout Design Tool for Preparedness of Earthquake Disaster Using Real-Time Physics Simulation and Force-Feedback Interface [chapter]

Jaeho Ryu, Ryuzo Ohno
2007 Computer-Aided Architectural Design Futures (CAADFutures) 2007  
a room re-layout design process.  ...  The virtual reality (VR) generated by computer graphics (CG) has developed very rapidly in accordance with the rapid improvement of computer hardware and CG algorithms.  ...  There is even a proposal to use the Physics Processing Unit (PPU) from AEGIA PhysX, such as CPU (Central Processing Unit) and GPU (Graphics Processing Unit), to support the calculations in physics simulation  ... 
doi:10.1007/978-1-4020-6528-6_40 fatcat:cca33bve2fatjjb2cuypaiuf5m

The Ecological Vulnerability Evaluation in Southwestern Mountain Region of China Based on GIS and AHP Method

Guoba. Song, Yu Chen, Meirong Tian, Shihai Lv, Shushen Zhang, Suling Liu
2010 Procedia Environmental Sciences  
From grade scale, the clustering trend for EVI grades is apparent presented by global Moran' I about 0.6271 and the spatial adjacency is dominated by high-high and low-low relation significantly.  ...  The first zone with high EVI locates in east-southeast region including 79 counties and the second one with forest, grassland, shrub as dominant land use type rules 73 counties in the west-northwest region  ...  The Data-Sharing Network of Earth  ... 
doi:10.1016/j.proenv.2010.10.051 fatcat:5n75vluf2ja5vkio43ic4zdozy


Q. Zheng
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Emergency response is the critical phase in disaster management, which can save lives and reduce losses by useful, accurate, and timely information.  ...  The surveying and mapping authorities at all levels are making great efforts to meet the increasing demand for geospatial data in disaster and risk management.  ...  DATA High-resolution Geodatabase is essential for disaster prevention, emergency response, and post-disaster construction.  ... 
doi:10.5194/isprs-archives-xliii-b3-2020-1293-2020 fatcat:lcjmnp5ecrex3m6rgknztmzqh4

Tracking Flooding Phase Transitions and Establishing a Passive Hotline with AI-Enabled Social Media Data

Ruo-Qian Wang, Yingjie Hu, Zikai Zhou, Kevin Yang
2020 IEEE Access  
the US Census data.  ...  By combining image and text analysis, we filter the tweets that contain images of the "Impact" category and high-resolution locations to gain the most valuable situation information.  ...  Keras [32] , a Python-based deep learning code, was employed to realize the architectures with the CUDA libraries on the GPUs (Graphics Processing Units) of a computer cluster hosted at the School of  ... 
doi:10.1109/access.2020.2994187 fatcat:6joxvaet6jgipcrbpyb7ft5fna

Distributed Fusion of Heterogeneous Remote Sensing and Social Media Data: A Review and New Developments

Jun Li, Zhenjie Liu, Xinya Lei, Lizhe Wang
2021 Proceedings of the IEEE  
A new distributed fusion framework that can accelerate the fusion of heterogeneous remote sensing and social media data is proposed by decomposing large data sets into small ones and processing them in  ...  Distributed computing strategies in remote sensing techniques and applications that use various data sources are comprehensively reviewed.  ...  plus accelerators, such as graphical processing units (GPUs).  ... 
doi:10.1109/jproc.2021.3079176 fatcat:gk2xqgsipjfr7kfanauymtk724

A Study on the Construction of the Unity 3D Engine Based on the WebGIS System for the Hydrological and Water Hazard Information Display

Su-Myung Gang, Hyeoung-Wook Choi, Do-Ryeong Kim, Yun-Jae Choung
2016 Procedia Engineering  
To address such shortcoming, a toolkit was developed in this study using Unity 3D, which is frequently being used in mobile games and is capable of representing geographic data without any limitation.  ...  As disasters represent the natural phenomena occurring in a country's territory, they are closely linked with spatial data.  ...  the mash-up of the spatial data obtained from the territory on the 3D topographical map; and (2) large raw files may be processed for the mash-up to enable fast graphic processing of the data.  ... 
doi:10.1016/j.proeng.2016.07.431 fatcat:bjbqhc5zbzhdxiysv3k2p6krwu

Fast crustal deformation computing method for multiple computations accelerated by a graphics processing unit cluster

Takuma Yamaguchi, Tsuyoshi Ichimura, Yuji Yagi, Ryoichiro Agata, Takane Hori, Muneo Hori
2017 Geophysical Journal International  
To increase the efficiency of performing numerical simulations with high computation costs, we developed a fast solver using heterogeneous computing, with graphics processing units (GPUs) and central processing  ...  S U M M A R Y As high-resolution observational data become more common, the demand for numerical simulations of crustal deformation using 3-D high-fidelity modelling is increasing.  ...  Graphics processing unit (GPU) clusters, which are computer clusters that contain GPUs, have recently become common in scientific computing.  ... 
doi:10.1093/gji/ggx203 fatcat:yfnuaku6e5holmgoghtg5tlhmy

A Flood Forecasting Model based on Wireless Sensor and Actor Networks

Sheikh Tahir Bakhsh, Naveed Ahmed, Basit Shahzad, Mohammed Basheri
2020 International Journal of Advanced Computer Science and Applications  
ANN is used to extract the required data either from existing datasets containing flood-related details for previous years or live data capturing form radars and sensor networks.  ...  The review is generally based on ANN, WSN, and GIS-based schemes used in managing the flood-related risks and doing effective forecasting in the areas of disaster management.  ...  The temporal and spatial resolution is used to calculate the rainfall-runoff process [5] .  ... 
doi:10.14569/ijacsa.2020.0110856 fatcat:kdk354scmnfqvjp7vodhlicwnu

Simulating and Communicating Outcomes in Disaster Management Situations

Michal Lichter, Asher Grinberger, Daniel Felsenstein
2015 ISPRS International Journal of Geo-Information  
Using a dynamic simulation model, we estimate the long run outcomes of two very different urban disasters with severe consequences: an earthquake and a missile attack.  ...  Implications for participatory disaster management and planning are discussed.  ...  Simulation Outcomes The results of the simulations include time-series data at high-level spatial resolution.  ... 
doi:10.3390/ijgi4041827 fatcat:hqt327jp6rfkbk3voqlbbo4m5q

Smart Flood Resilience: Harnessing Community-Scale Big Data for Predictive Flood Risk Monitoring, Rapid Impact Assessment, and Situational Awareness [article]

Faxi Yuan, Chao Fan, Hamed Farahmand, Natalie Coleman, Amir Esmalian, Cheng-Chun Lee, Flavia I. Patrascu, Cheng Zhang, Shangjia Dong, Ali Mostafavi
2021 arXiv   pre-print
Third, we illustrate the use of high-resolution traffic data in network-theoretic models for nowcasting of flood propagation on road networks and the disrupted access to critical facilities, such as hospitals  ...  The smart flood resilience framework focuses on four core capabilities that could be augmented by the use of heterogeneous community-scale big data and analytics techniques: (1) predictive flood risk mapping  ...  The authors would also like to acknowledge INRIX, Inc. and SafeGraph for providing data.  ... 
arXiv:2111.06461v2 fatcat:2ugdb6geivdsjp5ypzkspvldey

Introduction to Big Data Computing for Geospatial Applications

Zhenlong Li, Wenwu Tang, Qunying Huang, Eric Shook, Qingfeng Guan
2020 ISPRS International Journal of Geo-Information  
the opportunities for using big data for geospatial applications.  ...  The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization.  ...  , including central processing units (CPUs) and GPUs.  ... 
doi:10.3390/ijgi9080487 fatcat:b5qd7ar76feydjakfbr64xknsq

An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends

Qiang Zhao, Le Yu, Zhenrong Du, Dailiang Peng, Pengyu Hao, Yongguang Zhang, Peng Gong
2022 Remote Sensing  
In this paper, we review the impacts of and future trends in the use of EO satellite data based on an analysis of data from 15 EO satellites whose data are widely used.  ...  Articles that reference EO satellite missions included in the Web of Science core collection for 2020 were analyzed using scientometric analysis and meta-analysis.  ...  In this point, high-resolution EO satellite missions are becoming popular these days to monitor nature, the environment, and disasters [16] .  ... 
doi:10.3390/rs14081863 fatcat:g5zdppoxrfhidolmlojzlbewn4

Review on Semantic Segmentation of Satellite Images Using Deep Learning

Chandra Pal Kushwah
2021 International Journal for Research in Applied Science and Engineering Technology  
With the growth & development of satellite image sensors, the recorded object resolution was improved with advanced image processing techniques.  ...  Semantic segmentation is an integral aspect of image comprehension and is essential for image processing tasks. Semantic segmentation is a complex process in computer vision applications.  ...  meaningful representations, no need for additional annotations No different models for the very high-resolution datasets CNN CNN's are specifically designed to lower data parameters used by  ... 
doi:10.22214/ijraset.2021.37204 fatcat:nroebivs7nfsndxazsuhrmiece


C. Wang, F. Hu, X. Hu, S. Zhao, W. Wen, C. Yang
2015 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The Orfeo toolbox, a ready-to-use tool for large image processing, is integrated into MapReduce to provide affluent image processing operations.  ...  However, it is challenging to efficiently storage, query and process such big data due to the data- and computing- intensive issues.  ...  For this purpose, HPC infrastructure such as clusters, distributed networks or specialized hardware devices, for example, field programmable gate arrays (FPGAs) and commodity graphic processing units (  ... 
doi:10.5194/isprsannals-ii-4-w2-63-2015 fatcat:35tnrfyixffmncfxv5ov5kwr7a

Preliminary Application of Space-Based Remote Sensing and Geospatial Technology for Investigation on the Geo-Environmental Consequences of Cyclone Aila 2009 in the NW Bangladesh

Farhana TAZNEEN, Hafızur RAHMAN, Sajıdur RAHMAN, Nasrin SULTANA
2022 International Journal of Environment and Geoinformatics  
surface features using high resolution satellite data; (ii) Effective operational procedure to process, analyze, interpret and finally to archive the retrieved information; (iii) Functional computations  ...  Finally, a geospatial image-based combinational technique has been utilized employing high temporal and moderate spatial resolution time series satellite data with low temporal and high spatial resolution  ...  It uses high-powered graphic and processing tools that are equipped with procedures and applications for inputting, storing, analyzing and visualizing georeferenced information.  ... 
doi:10.30897/ijegeo.838241 fatcat:fmkbaxq4nzc4tjbjbxaz43gmtm
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