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�ݺ�ߣshows by User: mepa1363 / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: mepa1363 / Tue, 30 Sep 2014 01:11:52 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: mepa1363 Evaluation of Web Processing Service Frameworks /slideshow/foss4g-ebrahim/39686923 foss4g-ebrahim-140930011152-phpapp01
In this presentation, I illustrate, and discuss initial results from a quantitative analysis of the performance of WPS servers. To do so, two test scenarios were used to measure response time, response size, throughput, and failure rate of five WPS servers including 52North, Deegree, GeoServer, PyWPS, and Zoo. I also assess each WPS server in terms of qualitative metrics such as software architecture, perceived ease of use, flexibility of deployment, and quality of documentation. A case study addressing accessibility assessment is used to evaluate the relative advantages and disadvantages of each implementation, and point to challenges experienced while working with these WPS servers.]]>
In this presentation, I illustrate, and discuss initial results from a quantitative analysis of the performance of WPS servers. To do so, two test scenarios were used to measure response time, response size, throughput, and failure rate of five WPS servers including 52North, Deegree, GeoServer, PyWPS, and Zoo. I also assess each WPS server in terms of qualitative metrics such as software architecture, perceived ease of use, flexibility of deployment, and quality of documentation. A case study addressing accessibility assessment is used to evaluate the relative advantages and disadvantages of each implementation, and point to challenges experienced while working with these WPS servers.]]> Tue, 30 Sep 2014 01:11:52 GMT /slideshow/foss4g-ebrahim/39686923 mepa1363@slideshare.net(mepa1363) Evaluation of Web Processing Service Frameworks mepa1363 In this presentation, I illustrate, and discuss initial results from a quantitative analysis of the performance of WPS servers. To do so, two test scenarios were used to measure response time, response size, throughput, and failure rate of five WPS servers including 52North, Deegree, GeoServer, PyWPS, and Zoo. I also assess each WPS server in terms of qualitative metrics such as software architecture, perceived ease of use, flexibility of deployment, and quality of documentation. A case study addressing accessibility assessment is used to evaluate the relative advantages and disadvantages of each implementation, and point to challenges experienced while working with these WPS servers. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/foss4g-ebrahim-140930011152-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> In this presentation, I illustrate, and discuss initial results from a quantitative analysis of the performance of WPS servers. To do so, two test scenarios were used to measure response time, response size, throughput, and failure rate of five WPS servers including 52North, Deegree, GeoServer, PyWPS, and Zoo. I also assess each WPS server in terms of qualitative metrics such as software architecture, perceived ease of use, flexibility of deployment, and quality of documentation. A case study addressing accessibility assessment is used to evaluate the relative advantages and disadvantages of each implementation, and point to challenges experienced while working with these WPS servers.

Evaluation of Web Processing Service Frameworks from Ebrahim Poorazizi

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0 GeoAlberta2013 /slideshow/geoalberta2013/26832436 geoalberta2013presentation-131003114301-phpapp02
In June 2013, Albertans witnessed a catastrophic flooding event described by the provincial government as the worst in Alberta's history. During crisis events, public access to up-to-date information plays an important role in raising situational awareness, delivering assistance to those affected by the crisis, and to aid the development of mitigation plans. Crisis mapping, using platforms such as Ushahidi have been used extensively to help people find and use critical emergency information, document road and bridge closures, power outage areas, emergency aid locations, etc. In this paper, we present the development of an interactive flood mapping mashup for the City of Calgary, based on free and open source software packages. The system incorporates state-of-the-art technologies such as Web 2.0 mapping APIs, WMTS (Web Map Tile Service), and open geo-data standards to implement the user interface and the back-end mapping server. WMTS technology was used to provide the base map. To do so, City of Calgary geospatial data was extracted from OpenStreetMap, and map tiles were generated using TileMill, MapBox’s cartographic design studio. The principal server-side component used to deploy the map data was PHP Tile Server. On the client-side, Leaflet’s API was used to develop the mapping functionality and visualize crisis information. Web client technologies HTML5, CSS3, and AJAX were used to rapidly develop a flexible and interactive mapping solution. Spatial data was encoded using GeoJSON extracted from the textual information provided by the City of Calgary. These tools, and open data allowed us to rapidly deploy the site and provide citizens access to a wide range of crisis data via a single map.]]>
In June 2013, Albertans witnessed a catastrophic flooding event described by the provincial government as the worst in Alberta's history. During crisis events, public access to up-to-date information plays an important role in raising situational awareness, delivering assistance to those affected by the crisis, and to aid the development of mitigation plans. Crisis mapping, using platforms such as Ushahidi have been used extensively to help people find and use critical emergency information, document road and bridge closures, power outage areas, emergency aid locations, etc. In this paper, we present the development of an interactive flood mapping mashup for the City of Calgary, based on free and open source software packages. The system incorporates state-of-the-art technologies such as Web 2.0 mapping APIs, WMTS (Web Map Tile Service), and open geo-data standards to implement the user interface and the back-end mapping server. WMTS technology was used to provide the base map. To do so, City of Calgary geospatial data was extracted from OpenStreetMap, and map tiles were generated using TileMill, MapBox’s cartographic design studio. The principal server-side component used to deploy the map data was PHP Tile Server. On the client-side, Leaflet’s API was used to develop the mapping functionality and visualize crisis information. Web client technologies HTML5, CSS3, and AJAX were used to rapidly develop a flexible and interactive mapping solution. Spatial data was encoded using GeoJSON extracted from the textual information provided by the City of Calgary. These tools, and open data allowed us to rapidly deploy the site and provide citizens access to a wide range of crisis data via a single map.]]> Thu, 03 Oct 2013 11:43:01 GMT /slideshow/geoalberta2013/26832436 mepa1363@slideshare.net(mepa1363) GeoAlberta2013 mepa1363 In June 2013, Albertans witnessed a catastrophic flooding event described by the provincial government as the worst in Alberta's history. During crisis events, public access to up-to-date information plays an important role in raising situational awareness, delivering assistance to those affected by the crisis, and to aid the development of mitigation plans. Crisis mapping, using platforms such as Ushahidi have been used extensively to help people find and use critical emergency information, document road and bridge closures, power outage areas, emergency aid locations, etc. In this paper, we present the development of an interactive flood mapping mashup for the City of Calgary, based on free and open source software packages. The system incorporates state-of-the-art technologies such as Web 2.0 mapping APIs, WMTS (Web Map Tile Service), and open geo-data standards to implement the user interface and the back-end mapping server. WMTS technology was used to provide the base map. To do so, City of Calgary geospatial data was extracted from OpenStreetMap, and map tiles were generated using TileMill, MapBox’s cartographic design studio. The principal server-side component used to deploy the map data was PHP Tile Server. On the client-side, Leaflet’s API was used to develop the mapping functionality and visualize crisis information. Web client technologies HTML5, CSS3, and AJAX were used to rapidly develop a flexible and interactive mapping solution. Spatial data was encoded using GeoJSON extracted from the textual information provided by the City of Calgary. These tools, and open data allowed us to rapidly deploy the site and provide citizens access to a wide range of crisis data via a single map. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/geoalberta2013presentation-131003114301-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> In June 2013, Albertans witnessed a catastrophic flooding event described by the provincial government as the worst in Alberta's history. During crisis events, public access to up-to-date information plays an important role in raising situational awareness, delivering assistance to those affected by the crisis, and to aid the development of mitigation plans. Crisis mapping, using platforms such as Ushahidi have been used extensively to help people find and use critical emergency information, document road and bridge closures, power outage areas, emergency aid locations, etc. In this paper, we present the development of an interactive flood mapping mashup for the City of Calgary, based on free and open source software packages. The system incorporates state-of-the-art technologies such as Web 2.0 mapping APIs, WMTS (Web Map Tile Service), and open geo-data standards to implement the user interface and the back-end mapping server. WMTS technology was used to provide the base map. To do so, City of Calgary geospatial data was extracted from OpenStreetMap, and map tiles were generated using TileMill, MapBox’s cartographic design studio. The principal server-side component used to deploy the map data was PHP Tile Server. On the client-side, Leaflet’s API was used to develop the mapping functionality and visualize crisis information. Web client technologies HTML5, CSS3, and AJAX were used to rapidly develop a flexible and interactive mapping solution. Spatial data was encoded using GeoJSON extracted from the textual information provided by the City of Calgary. These tools, and open data allowed us to rapidly deploy the site and provide citizens access to a wide range of crisis data via a single map.

GeoAlberta2013 from Ebrahim Poorazizi

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0 Testing of Sensor Observation Services: A Performance Evaluation /slideshow/testing-of-sensor-observation-services-a-performance-evaluation/15184942 sosevaluationacmsig-121114231310-phpapp02
M. E. Poorazizi, A. J. S. Hunter and S. H. L. Liang, Testing of Sensor Observation Services: A Performance Evaluation, In Proceedings of the First ACM SIGSPATIAL International Workshop on Sensor Web Enablement 2012 (SWE2012), Redondo Beach, CA, US, 6-9 November 2012.]]>
M. E. Poorazizi, A. J. S. Hunter and S. H. L. Liang, Testing of Sensor Observation Services: A Performance Evaluation, In Proceedings of the First ACM SIGSPATIAL International Workshop on Sensor Web Enablement 2012 (SWE2012), Redondo Beach, CA, US, 6-9 November 2012.]]> Wed, 14 Nov 2012 23:13:08 GMT /slideshow/testing-of-sensor-observation-services-a-performance-evaluation/15184942 mepa1363@slideshare.net(mepa1363) Testing of Sensor Observation Services: A Performance Evaluation mepa1363 M. E. Poorazizi, A. J. S. Hunter and S. H. L. Liang, Testing of Sensor Observation Services: A Performance Evaluation, In Proceedings of the First ACM SIGSPATIAL International Workshop on Sensor Web Enablement 2012 (SWE2012), Redondo Beach, CA, US, 6-9 November 2012. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sosevaluationacmsig-121114231310-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> M. E. Poorazizi, A. J. S. Hunter and S. H. L. Liang, Testing of Sensor Observation Services: A Performance Evaluation, In Proceedings of the First ACM SIGSPATIAL International Workshop on Sensor Web Enablement 2012 (SWE2012), Redondo Beach, CA, US, 6-9 November 2012.

Testing of Sensor Observation Services: A Performance Evaluation from Ebrahim Poorazizi

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0 https://cdn.slidesharecdn.com/profile-photo-mepa1363-48x48.jpg?cb=1534369191 https://cdn.slidesharecdn.com/ss_thumbnails/foss4g-ebrahim-140930011152-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/foss4g-ebrahim/39686923 Evaluation of Web Proc... https://cdn.slidesharecdn.com/ss_thumbnails/geoalberta2013presentation-131003114301-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/geoalberta2013/26832436 GeoAlberta2013 https://cdn.slidesharecdn.com/ss_thumbnails/sosevaluationacmsig-121114231310-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/testing-of-sensor-observation-services-a-performance-evaluation/15184942 Testing of Sensor Obse...