Sensors are everywhere, which includes space, air and ground. Earth phenomena such as disasters also occur everywhere; such as wildfires, floods and volcanoes. There is a need to rapidly deploy existing sensors to aid emergency workers and investigators. The vision for our effort is to provide users the capability to create “mash ups” (a web application that combines data from more than one source into an integrated experience), similar to that used by Google Earth users to create a composite map with overlays of sensor information and from other data sources such as weather, traffic, urban construction etc. We make use of Web 2.0 technology and Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) web service standards to enable access to Earth’s sensors is an emerging mega-trend which will lower the cost of producing customized science by an order of magnitude. This paper will outline the key aspects of our experiments to date and implications for the future and in particular the Global Earth Observation System of Systems (GEOSS) international effort.
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Modern Geographical Information Systems (GIS) [1] provide a service-oriented architecture for interacting with geographical data sets and related maps. Web-based GIS systems are architected around the same principles as more general Web service systems based on SOAP [2], WSDL [3], and REST. Mirroring the World Wide Web Consortium and OASIS Web service standards-making bodies, the Open Geospatial Consortium [5] defines open standards for messages, XML data formats, and access protocols that are specific to the GIS community. In addition to OGC-based services, there are many companies (such as ESRI and AutoDesk) that provide proprietary, commercial solutions. Services from these various providers are not normally interoperable.
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Each day business users everywhere gather, manipulate and report information using Microsoft Office applications. But in most cases, the data that is needed for analyses and reports originates in, or is analyzed by, systems and applications outside of the Microsoft Office suite. Business analysts frequently need access to large data sources that exceed the limitations of Microsoft Office tools.
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There are several ways to import Microsoft Access tables into SAS. They are as follows:
1) Using SAS/ACCESS to ODBC:
1) SAS/CORE, SAS/BASE and SAS/ACCESS interface to ODBC licensed and installed at your site.
2) The Microsoft Access ODBC driver must be installed and configured on your PC.
3) Use the following code to read the Microsoft Access file into a SAS dataset. Libname sasuser ‘c:\foo’;
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GNU SASL is an implementation of the Simple Authentication and Security Layer framework and a few common SASL mechanisms. SASL is used by network servers (e.g., IMAP, SMTP) to request authentica- tion from clients, and in clients to authenticate against servers. GNU SASL consists of a library (‘libgsasl’), a command line utility (‘gsasl’) to access the library from the shell, and a manual. The library includes support for the framework (with authentication functions and application data privacy and integrity functions) and at least partial support for the CRAM-MD5, EXTERNAL, GSSAPI, ANONYMOUS, PLAIN, SECURID, DIGEST-MD5, LOGIN, and NTLM mechanisms.
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Honda Odyssey Road Tests covers:
LIKES Wide door openings Folding third row seat headrests High standard of finish To see how the people mover class has changed and progressed, one needs to go back to the eighties. At the time most people movers were based upon commercial variants in a manufacturers range and the vehicle from a distance looked more like a delivery van with windows. Move forward to the present time and look at the new Honda Odyssey. A purpose built vehicle that since its initial release in 1996 has been constantly improved and refined.
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