NDLI: Sensor Web service integration for pandemic disease spread simulation

Content Provider	IEEE Xplore Digital Library
Author	Genong Yu Liping Di Smith, J.A. Bei Zhang Peichuan Li Hulin Wang Min Min
Copyright Year	2009
Description	Author affiliation: Center for Spatial Information Science and Systems, George Mason University, Greenbelt, MD, USA (Genong Yu; Liping Di; Bei Zhang; Peichuan Li; Hulin Wang; Min Min) \|\| Hydrospheric and Biospheric Sciences Laboratory (HBSL), NASA Goddard Space Flight Center, Greenbelt, MD, USA (Smith, J.A.)
Abstract	Pandemic diseases, such as avian influenza, can be deadly and disastrous although they do not happen frequently. Simulation is called for to control the spread of such diseases in preparing for the outbreaks. The spread of pandemic diseases can be affected by many factors, including virus vectors (such as migratory birds), climatic changes, and environment en route of virus vector migration. Many datasets and observations need to be assimilated into the simulation systems. The data and observations can be grouped into three types, i.e. satellite remotely sensed observations, in-situ data, and simulated model outputs. Satellite observations provide a timely large-scale coverage of environment changes and weather conditions. In situ data gives detailed ecological observations of birds at different stations and sites for simulation model construction and validation. Global climate models provide predictions of climate/weather changes, especially useful for filling the gaps when actual observations are not available. In this study, the Self-adaptive Earth Predictive System (SEPS), a general framework of Sensor Web service coordination and integration, was used as the basic framework to develop the observation and data assimilation services for the simulation of avian influenza. With the framework, these three types of data and observations are served through three different Web services. Remotely sensed observations are served through either Sensor Observation Service or Web Coverage Service. Climate models and simulation models are wrapped as Web Processing Services. In-situ bird observations are extracted online and populated as Web Feature Services. The integration of these services is managed using the central piece of SEPS, Coordinate and Event Notification Service (CENS). Internally, a Business Process Execution Language (BPEL) engine is used to actually execute the service integration.
Starting Page	1
Ending Page	6
File Size	279171
Page Count	6
File Format	PDF
ISBN	9781424445622
DOI	10.1109/GEOINFORMATICS.2009.5293497
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geospatial Web services Biological system modeling Weather forecasting Predictive models Birds BPEL Diseases Sensor web Satellites Web services Simulation Influenza Filling Large-scale systems Bird flu
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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