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Modeling Methodology for Component Reuse and System Integration for Hurricane Loss Projection Application

Kasturi Chatterjee, Khalid Saleem, Na Zhao, Min Chen, Shu-ching Chen, Shahid Hamid
2006 2006 IEEE International Conference on Information Reuse & Integration  
This paper presents a UML based formal Modeling Methodology, enabling component reuse and integration of the application. 0-7803-9788-6/06/$20.00 ©2006 IEEE.  ...  The need for such research methodologies and tools stimulated the development of a multi-disciplinary cutting edge public hurricane model called Public Hurricane Risk and Insured Loss Projection Model  ...  Conclusion This paper proposes a modeling methodology for component reuse and system integration for a diverse multidisciplinary application PHRLM, which analyzes hurricanes to predict their paths and  ... 
doi:10.1109/iri.2006.252388 dblp:conf/iri/ChatterjeeSZCCH06 fatcat:zsuftt2eefa4tmeqrdzvneydxe

A three-tier system architecture design and development for hurricane occurrence simulation

S.-C. Chen, S. Gulatit, S. Hamid, X. Huang, L. Luo, N. Morisseau-Leroy, M.D. Powell, C. Zhan, C. Zhang
2003 International Conference on Information Technology: Research and Education, 2003. Proceedings. ITRE2003.  
The potential changeability of hurricane data and hurricane models requires robust, maintainable and easily extensible software system for hurricane simulation.  ...  With focuses on the design and the implementation of the components at each layer, this paper describes a hurricane simulation system built on the threetier architecture to achieve good flexibility, extensibility  ...  ACKNOWLEDGMENT This work is partially supported by Florida Department of Insurance under "FIU/IHRC Public Hurricane Risk and Loss Model Project."  ... 
doi:10.1109/itre.2003.1270584 fatcat:k5kn7by7wfbcdkfxtgieetiw7y

A Web-Based Task-Tracking Collaboration System for the Florida Public Hurricane Loss Model

Raul Garcia, Diana Machado, Hsin-Yu Ha, Yimin Yang, Shu-Ching Chen, Shahid Hamid
2014 Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing  
The Florida Public Hurricane Loss Model (FPHLM) is a large scale, multidisciplinary project developed to assist the state of Florida with the regulation of residential insurance premiums as they relate  ...  to insured losses caused by hurricane winds.  ...  ACKNOWLEDGMENT This work is partially supported by the FL OIR under the Hurricane Loss Projection Model project.  ... 
doi:10.4108/icst.collaboratecom.2014.257662 dblp:conf/colcom/GarciaMHYCH14 fatcat:kexl7kbzzfgbjb7kop4uuyzz6u

A Web-based distributed system for hurricane occurrence projection

Shu-Ching Chen, Sneh Gulati, Shahid Hamid, Xin Huang, Lin Luo, Nirva Morisseau-Leroy, Mark D. Powell, Chengjun Zhan, Chengcui Zhang
2004 Software, Practice & Experience  
This paper presents a distributed system for hurricane statistical analysis and projection.  ...  , the hurricane data model and the projection results as well.  ...  Another hurricane damage and loss projection model is HAZUS [5, 6] .  ... 
doi:10.1002/spe.580 fatcat:jdqqovw76vevdnlb2pdqhugbs4

A Cloud-Enabled Application Framework for Simulating Regional-Scale Impacts of Natural Hazards on the Built Environment

Gregory G. Deierlein, Frank McKenna, Adam Zsarnóczay, Tracy Kijewski-Correa, Ahsan Kareem, Wael Elhaddad, Laura Lowes, Matthew J. Schoettler, Sanjay Govindjee
2020 Frontiers in Built Environment  
In this paper, the modular architecture of the computational workflow models is described and illustrated through testbed applications to evaluate regional building damage under an earthquake and a hurricane  ...  By integration of multi-fidelity and multi-resolution models to assess natural hazard impacts on buildings, infrastructure systems and other constructed facilities, the approach enables the engineering  ...  assets for a regional simulation, including buildings, transportation components and systems, utility infrastructure components and systems, etc.  ... 
doi:10.3389/fbuil.2020.558706 fatcat:ol5nzrznpnhdbiuez6xtrxkmhi

A Service-Oriented Integrating Practice for Data Modeling, Analysis and Visualization

Dan Cheng, Zhibin Mai, Jianjia Wu, Guan Qin, Wei Zhao
2006 2006 IEEE International Conference on e-Business Engineering (ICEBE'06)  
Today, researchers generally design and procure hardware and software to provide the above services for each individual project.  ...  Many large-scale scientific computing projects share a data archive and retrieval requirement, a call to perform customized modeling tasks, and a need to visualize data in a geospatially referenced manner  ...  For example, when large storms like Hurricane Katrina and Rita are expected to come, a flooding risk management application that integrates an MM5 atmospheric prediction model and a flooding model may  ... 
doi:10.1109/icebe.2006.12 dblp:conf/icebe/ChengMWQZ06 fatcat:rnmnwwv32bh6lb3iscfgh7tvvi

Quantifying Environmental Impacts of Temporary Housing at the Urban Scale: Intersection of Vulnerability and Post-Hurricane Relief in New Orleans

Claire McConnell, Chiara Bertolin
2019 International Journal of Disaster Risk Science  
The increasing risk and exposure of people and assets to natural hazards and disasters suggests an increasing need for temporary housing following disasters.  ...  We demonstrate the considerable risk of greenhouse gas emissions and energy impacts from temporary housing deployment linked to hurricane hazard.  ...  Degree days are assumed to be constant for the purposes of this study and are calculated from historical temperature data produced by NASA/GISS (2014) for the Coupled Model Intercomparison Project, Phase  ... 
doi:10.1007/s13753-019-00244-y fatcat:t7fepceprzcrflmel24m4zdym4

OPEN RISK ANALYSIS SOFTWARE: DATA AND METHODOLOGIES

Mina Christakis, Kiyoshi Kobayashi, Charles Scawthorn, Keith Porter
2008 journal of Civil Engineering Information Processing System  
This paper discusses this new paradigm, presents some of its methodologies and one example of a tool developed within AGORA.  ...  Researchers and practitioners alike develop and use such models on a constant basis. As a result, the models are continuously evolving to adapt to new technologies, new data and research outcomes.  ...  Projection Methodologies) and are not allowed to reuse or modify the code.  ... 
doi:10.2208/journalac2003.17.0_1 fatcat:wsvuw3catngatjrwqc537er4be

Disaster Risk Management Through the DesignSafe Cyberinfrastructure

Jean-Paul Pinelli, Maria Esteva, Ellen M. Rathje, David Roueche, Scott J. Brandenberg, Gilberto Mosqueda, Jamie Padgett, Frederick Haan
2020 International Journal of Disaster Risk Science  
The resultant services and tools shorten data cycles for resiliency evaluation, risk modeling validation, and forensic studies. This article illustrates salient features of the cyberinfrastructure.  ...  to curate and publish diverse data structures emphasizing relationships and understandability; and (3) facilitation of real time communications during natural hazards events and disasters for data and  ...  The development of DesignSafe also leverages NSF grant ACI-1134872 for high performance computing, and grants ACI-1127210 and ACI-1450459 for the development of the Agave API.  ... 
doi:10.1007/s13753-020-00320-8 fatcat:nprisrahyjc4xjrzlcjsmi2rry

Integrating knowledge to assess coastal vulnerability to sea-level rise: The development of the DIVA tool

Jochen Hinkel, Richard J.T. Klein
2009 Global Environmental Change  
These challenges were addressed by (i) creating and applying the DIVA method, an iterative, modular method for developing integrating models amongst distributed partners and (ii) making the data, scenarios  ...  and integrated model, equipped with a powerful graphical user interface, directly and freely available to end-users. ß  ...  We thank Lars Exner for his technical support in preparing the figures and maps of this paper.  ... 
doi:10.1016/j.gloenvcha.2009.03.002 fatcat:2n7gbg4qk5c5rbi7xtypvkkrzm

Waste Management and Operational Energy for Sustainable Buildings: A Review

Rosaria E.C. Amaral, Joel Brito, Matt Buckman, Elicia Drake, Esther Ilatova, Paige Rice, Carlos Sabbagh, Sergei Voronkin, Yewande S. Abraham
2020 Sustainability  
These practices include pollution reduction, reuse and recycling, energy consumption, embodied carbon, and water resource management.  ...  Construction and demolition waste account for a significant part of the solid waste taking up landfills on a global scale.  ...  All authors reviewed and edited the initial draft to produce a cohesive final manuscript. S.V. and Y.S.A. edited and reviewed the final draft for submission.  ... 
doi:10.3390/su12135337 fatcat:brkqwty2yfgf5c2lwfqvoaw2ee

Combining Ecosystem Services with Cost-Benefit Analysis for Selection of Green and Grey Infrastructure for Flood Protection in a Cultural Setting

Zoran Vojinovic, Weeraya Keerakamolchai, Sutat Weesakul, Ranko Pudar, Neiler Medina, Alida Alves
2016 Environments  
The framework includes active stakeholder participation and it consists of the four main components: (1) identification and valuation of ecosystem services pertinent to the project site under various mitigation  ...  Therefore, the search for optimal configurations of urban water infrastructure systems represents a great challenge for researchers and practitioners (e.g., [10] [11] [12] [13] [14] [15] ).  ...  denotes losses recorded for base conditions (before mitigation), Loss Post denotes residual losses, recorded with mitigation in place, and ∑ Costs denotes the sum of all project and maintenance costs,  ... 
doi:10.3390/environments4010003 fatcat:ujui67jvcbe7lpht5upw2ckvoq

Natural Hazards Reconnaissance With the NHERI RAPID Facility

Jeffrey W. Berman, Joseph Wartman, Michael Olsen, Jennifer L. Irish, Scott B. Miles, Troy Tanner, Kurtis Gurley, Laura Lowes, Ann Bostrom, Jacob Dafni, Michael Grilliot, Andrew Lyda (+1 others)
2020 Frontiers in Built Environment  
Natural Hazards Reconnaissance: NHERI RAPID response to natural hazards, evaluate design methodologies' effectiveness, calibrate simulation models, and develop solutions for resilient communities.  ...  However, its equipment and services are available for a broad range of applications.  ...  ACKNOWLEDGMENTS We acknowledge collaborators on the highlighted research projects, including Profs.  ... 
doi:10.3389/fbuil.2020.573067 fatcat:27dguetidjaf3dwiwcl2e4mati

Machine Learning in Disaster Management: Recent Developments in Methods and Applications

Vasileios Linardos, Maria Drakaki, Panagiotis Tzionas, Yannis L. Karnavas
2022 Machine Learning and Knowledge Extraction  
Furthermore, some recently developed ML and DL applications for disaster management have been analyzed. A discussion of the findings is provided as well as directions for further research.  ...  Besides the human losses, disasters cause significant and often catastrophic socioeconomic impacts, including economic losses.  ...  By reusing existing datasets and making a mechanism of object fusion, this system reduced the time required for training. The system also worked parallel both for the detection and response tasks.  ... 
doi:10.3390/make4020020 fatcat:wcdrh23k5ja6tdqlyhl7erobey

Applying a Layered Framework to Disaster Recovery

Corey Baham, Andres Calderon, Rudy Hirschheim
2017 Communications of the Association for Information Systems  
This conceptual framework comprises DR layers that describe the nature of DR and its related components from a functional and technical point of view.  ...  We discuss the benefits of these DR layers to DR teams and compare our approach to traditional thinking. Further, we present a case study, its findings, and their implications for DR.  ...  The nuances of the kanban methodology and its applicability to DR orchestration are the focus of another study.  ... 
doi:10.17705/1cais.04012 fatcat:iig4dbxo7jelbjojgsnddzl6mu
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