Program marketing involves communicating and delivering organizational programs through activities like research, surveys, product beautification, and communication. The marketing team leads promotion efforts, researches the market, and conducts physical marketing activities. They ensure brand management, create promotional tools and campaigns, and generate ideas. Team members can be reached through contact information provided.
One in seven Australians live below the poverty line, costing the country $250 billion each year to address social issues. However, technology and startups can spark social change by collaborating across sectors. For example, an Indigenous community in Darwin is using 3D printing to turn plastic waste into phone cases and sunglasses to boost school attendance. The NSW government is also aligning initiatives like GovHack and Fishburners to disrupt systems and collaborate on solving social problems through civic hacking. To drive such change, people are encouraged to join efforts that innovate and collaborate across sectors for social impact.
This document provides information about an event called "#KnowPR Night" that is intended to introduce students to the public relations major at the University of Oregon. The event will include a welcome, presentations about the PR curriculum and opportunities, and a networking hour for students to learn about PR student groups and view portfolio work. The document also summarizes the PR sequence, student groups UO PRSSA and Allen Hall PR, and recommends books, blogs and people to follow to learn more about the field of public relations.
Program marketing involves communicating and delivering organizational programs through activities like research, surveys, product beautification, and communication. The marketing team leads promotion efforts, researches the market, and conducts physical marketing activities. They ensure brand management, create promotional tools and campaigns, and generate ideas. Team members can be reached through contact information provided.
One in seven Australians live below the poverty line, costing the country $250 billion each year to address social issues. However, technology and startups can spark social change by collaborating across sectors. For example, an Indigenous community in Darwin is using 3D printing to turn plastic waste into phone cases and sunglasses to boost school attendance. The NSW government is also aligning initiatives like GovHack and Fishburners to disrupt systems and collaborate on solving social problems through civic hacking. To drive such change, people are encouraged to join efforts that innovate and collaborate across sectors for social impact.
This document provides information about an event called "#KnowPR Night" that is intended to introduce students to the public relations major at the University of Oregon. The event will include a welcome, presentations about the PR curriculum and opportunities, and a networking hour for students to learn about PR student groups and view portfolio work. The document also summarizes the PR sequence, student groups UO PRSSA and Allen Hall PR, and recommends books, blogs and people to follow to learn more about the field of public relations.
Chronic pain australia disrupting the culture around people living with chr...Anne-Marie Elias
The document discusses disrupting the culture around chronic pain. It summarizes the book "Beyond Chronic Pain" which takes a holistic approach to living with chronic pain. It then lists attributes of innovation like being resourceful, reflective, and collaborative. It discusses leveraging untapped resources at Chronic Pain Australia through initiatives like hackathons and social media. The document advocates changing the culture to be more innovative and disruptive by focusing on stories, insights, and engaging the community through social media. It provides a case study on enabled employment and lists potential partners and resources to pursue innovative solutions for chronic pain.
This document provides information about an event called #KnowPR Night hosted by the University of Oregon's public relations program on February 27, 2014. The event included presentations about the PR major and career opportunities, as well as time for students to explore student portfolios, learn about PR student groups like UO PRSSA and Allen Hall PR, and network with PR students and faculty. The document also provides background on the UO PR program curriculum and courses, and introduces the student-run PR agency Allen Hall PR and the PRSSA chapter.
PyWPS is an open source Python implementation of the OGC Web Processing Service standard. It allows users to publish and discover geospatial processes that can be invoked remotely through a RESTful API. Some key points about PyWPS include that it supports all geospatial tools available in Python, uses standards like WFS and WCS, and allows processes to be run asynchronously and in isolated containers. The current version, PyWPS 4.0.0, features improvements like enhanced data validation, multiprocessing support, and an updated codebase to work with newer Python and geospatial technologies.
This document discusses igniting change by building a culture of innovation. It identifies barriers to innovation like bureaucracy and being reactive. Tools are presented to help organizations embrace change through collaboration, creativity, and rapid prototyping. These include design thinking, business modeling, and exercises. The goals are to inspire a culture of high performers ready to seize opportunities and ignite change rather than just manage it.
The anterior compartment of the leg contains the muscles that act to dorsiflex and evert the ankle and toes. It includes the tibialis anterior, extensor digitorum longus, and extensor hallucis longus muscles. The anterior tibial artery and deep peroneal nerve also pass through this compartment. Common conditions that can affect this region include anterior leg syndrome from overexertion, foot drop, shin splints, and anterior compartment syndrome.
The document discusses disruptive social innovation by repurposing methods from startup, tech, and design communities. It notes that 1 in 7 Australians live below the poverty line, costing the country $250 billion per year to address social issues. The document advocates for connecting, innovating, and collaborating across sectors like tech, startup, and design to drive social change through rapid prototyping, hackathons, and other collaborative events. The top takeaways are to disrupt or be disrupted using these new approaches, collaborate across sectors, and embrace change.
Toulouse, France - 2013.05.30
Centre de Compétences Techniques "Cloud Computing et Big Data"
WPS is an OGC standard which defines interfaces to publish, describe and execute geospatial processes
The Orfeo Toolbox (OTB - http://www.orfeo-toolbox.org/) is an Open Source Remote Sensing Image Processing software library developed by CNES. The aim of the toolbox is to gather a large number of state of the art algo- rithms for building processing chains for satellite images. Using the constellation server (http://www.constellation-sdi.org/), we exposed the main OTB processing chains as Web Processing Services (WPS). The WPS provides rules for standardizing inputs and outputs for invoking geospatial processing services. These services are managed from a web browser using the mapshup web client (http://mapshup.info). mapshup supports both synchronous and asynchronous processes and offers direct visualisation of results. The whole system provides user a complete and comprehensive image processing chain to produce land cover classification from satellite orthoimagery.
With an update to WPS 2.0, this chain should fit well to a Cloud architecture
Black Box Methods for Inferring Parallel Applications' Properties in Virtual ...Ashish Gupta
The document discusses inferring properties of parallel applications running in virtual environments using black box methods. It presents an approach to infer communication behavior and runtime topology without any application-specific assumptions. Metrics like round trip iteration rate are introduced to measure performance in a black box way. Methods are also described to predict an application's slowdown under load and to estimate processing delays using analysis of inter-packet times in network traces.
This document provides a curriculum vitae for Alexander Nikolayevich Zhdanov. It includes his contact information, education history, employment history, participation in open source projects, university projects, skills, languages, and interests. His education includes a Master's degree in Informatics from Technische Universität München in 2014 and a Bachelor's degree in computer engineering from Moscow State Technical University in 2009. His employment history includes roles in research, development, and quality assurance from 2014 to the present.
Cloud computing is the natural evolution of computing where resources are provided as a service over the internet. There are different deployment models and types of cloud services including infrastructure as a service, platform as a service, and software as a service. Popular cloud frameworks include Google AppEngine, PubNub, and Jclouds which provide development platforms and services for storage, databases, and notifications in the cloud.
Kostiantyn Bokhan, N-iX. CD4ML based on Azure and KubeflowIT Arena
Kostiantyn Bokhan, a technical lead at N-IX, focuses on data science projects. He leads data science projects in several areas: Computer vision, NLP, and signal processing as well as consults clients regarding digital transformations with AI. When free, he conducts research in the deep machine learning area. Kostiantyn has been an associate professor and faculty member of several universities since 2002. His research focuses on machine learning, deep learning, signal, and image processing. He received a PhD degree in network and telecommunications systems with research in digital signal processing in 2013. He has served on the scientific committees and review boards of several conferences.
Speech Overview:
Applying machine learning to make business applications and services intelligent is more than just training models and serving them. It requires implementing end-to-end and continuously repeatable cycles of training, testing, deploying, monitoring, and operating the models. Continuous delivery for machine learning (CD4ML) is a technique that enables reliable end-to-end cycles of development, deploying, and monitoring machine learning models. There are a lot of tools and frameworks that can be used to implement CD4ML. One of them is Kubeflow. Our experience of using Kubeflow for implementing CD4ML for the manufacturing area based on Azure Kubernetes service will be described in this speech.
Opportunities and Challenges for Running Scientific Workflows on the Cloud lyingcom
This document discusses opportunities and challenges for running scientific workflows on cloud computing platforms. It begins by introducing cloud computing and scientific workflows. It then describes three main opportunities: 1) increased scale to address larger problems, 2) on-demand resource allocation for improved efficiency, and 3) more flexibility to optimize performance and cost. Several challenges are also outlined, including architectural integration issues, data management difficulties, and the need for cloud-compatible workflow languages and services. The document concludes by proposing research directions to address these challenges and better support scientific workflows in cloud environments.
Work-in-Progress: A Smart Scheduling System for Shared Interactive Remote lab...Mohammed MOUSSA
This document proposes a smart scheduling system for shared interactive remote laboratories. It describes an architecture with server-side and client-side scheduler services. The server-side scheduler acts as a central point of control for load balancing between multiple instances of remote labs. A remote laboratories directory service collects and caches information about labs in a central database. The client-side scheduler provides a user interface for students to book labs. The proposed architecture was tested with four laboratory rigs and could be further improved with additional testing, deployment across multiple partners, monitoring services, and security measures.
The IMPACT Interoperability Framework provides a way to integrate various OCR and other software components into reusable workflows. It uses a Java-based architecture with web services and the open source Taverna workflow system. Developers can integrate new command line tools as web services with minimal effort, and workflows can then be built, shared, and executed through a web portal. The framework has been evaluated for scalability and is intended to support a community around sharing workflows and experiments.
Presentation of the Campus Navigator, a solution for seamlessly guiding visitors indoor and outdoor. The solution was developed by Esri Deutschland and NavVis.
Chronic pain australia disrupting the culture around people living with chr...Anne-Marie Elias
The document discusses disrupting the culture around chronic pain. It summarizes the book "Beyond Chronic Pain" which takes a holistic approach to living with chronic pain. It then lists attributes of innovation like being resourceful, reflective, and collaborative. It discusses leveraging untapped resources at Chronic Pain Australia through initiatives like hackathons and social media. The document advocates changing the culture to be more innovative and disruptive by focusing on stories, insights, and engaging the community through social media. It provides a case study on enabled employment and lists potential partners and resources to pursue innovative solutions for chronic pain.
This document provides information about an event called #KnowPR Night hosted by the University of Oregon's public relations program on February 27, 2014. The event included presentations about the PR major and career opportunities, as well as time for students to explore student portfolios, learn about PR student groups like UO PRSSA and Allen Hall PR, and network with PR students and faculty. The document also provides background on the UO PR program curriculum and courses, and introduces the student-run PR agency Allen Hall PR and the PRSSA chapter.
PyWPS is an open source Python implementation of the OGC Web Processing Service standard. It allows users to publish and discover geospatial processes that can be invoked remotely through a RESTful API. Some key points about PyWPS include that it supports all geospatial tools available in Python, uses standards like WFS and WCS, and allows processes to be run asynchronously and in isolated containers. The current version, PyWPS 4.0.0, features improvements like enhanced data validation, multiprocessing support, and an updated codebase to work with newer Python and geospatial technologies.
This document discusses igniting change by building a culture of innovation. It identifies barriers to innovation like bureaucracy and being reactive. Tools are presented to help organizations embrace change through collaboration, creativity, and rapid prototyping. These include design thinking, business modeling, and exercises. The goals are to inspire a culture of high performers ready to seize opportunities and ignite change rather than just manage it.
The anterior compartment of the leg contains the muscles that act to dorsiflex and evert the ankle and toes. It includes the tibialis anterior, extensor digitorum longus, and extensor hallucis longus muscles. The anterior tibial artery and deep peroneal nerve also pass through this compartment. Common conditions that can affect this region include anterior leg syndrome from overexertion, foot drop, shin splints, and anterior compartment syndrome.
The document discusses disruptive social innovation by repurposing methods from startup, tech, and design communities. It notes that 1 in 7 Australians live below the poverty line, costing the country $250 billion per year to address social issues. The document advocates for connecting, innovating, and collaborating across sectors like tech, startup, and design to drive social change through rapid prototyping, hackathons, and other collaborative events. The top takeaways are to disrupt or be disrupted using these new approaches, collaborate across sectors, and embrace change.
Toulouse, France - 2013.05.30
Centre de Compétences Techniques "Cloud Computing et Big Data"
WPS is an OGC standard which defines interfaces to publish, describe and execute geospatial processes
The Orfeo Toolbox (OTB - http://www.orfeo-toolbox.org/) is an Open Source Remote Sensing Image Processing software library developed by CNES. The aim of the toolbox is to gather a large number of state of the art algo- rithms for building processing chains for satellite images. Using the constellation server (http://www.constellation-sdi.org/), we exposed the main OTB processing chains as Web Processing Services (WPS). The WPS provides rules for standardizing inputs and outputs for invoking geospatial processing services. These services are managed from a web browser using the mapshup web client (http://mapshup.info). mapshup supports both synchronous and asynchronous processes and offers direct visualisation of results. The whole system provides user a complete and comprehensive image processing chain to produce land cover classification from satellite orthoimagery.
With an update to WPS 2.0, this chain should fit well to a Cloud architecture
Black Box Methods for Inferring Parallel Applications' Properties in Virtual ...Ashish Gupta
The document discusses inferring properties of parallel applications running in virtual environments using black box methods. It presents an approach to infer communication behavior and runtime topology without any application-specific assumptions. Metrics like round trip iteration rate are introduced to measure performance in a black box way. Methods are also described to predict an application's slowdown under load and to estimate processing delays using analysis of inter-packet times in network traces.
This document provides a curriculum vitae for Alexander Nikolayevich Zhdanov. It includes his contact information, education history, employment history, participation in open source projects, university projects, skills, languages, and interests. His education includes a Master's degree in Informatics from Technische Universität München in 2014 and a Bachelor's degree in computer engineering from Moscow State Technical University in 2009. His employment history includes roles in research, development, and quality assurance from 2014 to the present.
Cloud computing is the natural evolution of computing where resources are provided as a service over the internet. There are different deployment models and types of cloud services including infrastructure as a service, platform as a service, and software as a service. Popular cloud frameworks include Google AppEngine, PubNub, and Jclouds which provide development platforms and services for storage, databases, and notifications in the cloud.
Kostiantyn Bokhan, N-iX. CD4ML based on Azure and KubeflowIT Arena
Kostiantyn Bokhan, a technical lead at N-IX, focuses on data science projects. He leads data science projects in several areas: Computer vision, NLP, and signal processing as well as consults clients regarding digital transformations with AI. When free, he conducts research in the deep machine learning area. Kostiantyn has been an associate professor and faculty member of several universities since 2002. His research focuses on machine learning, deep learning, signal, and image processing. He received a PhD degree in network and telecommunications systems with research in digital signal processing in 2013. He has served on the scientific committees and review boards of several conferences.
Speech Overview:
Applying machine learning to make business applications and services intelligent is more than just training models and serving them. It requires implementing end-to-end and continuously repeatable cycles of training, testing, deploying, monitoring, and operating the models. Continuous delivery for machine learning (CD4ML) is a technique that enables reliable end-to-end cycles of development, deploying, and monitoring machine learning models. There are a lot of tools and frameworks that can be used to implement CD4ML. One of them is Kubeflow. Our experience of using Kubeflow for implementing CD4ML for the manufacturing area based on Azure Kubernetes service will be described in this speech.
Opportunities and Challenges for Running Scientific Workflows on the Cloud lyingcom
This document discusses opportunities and challenges for running scientific workflows on cloud computing platforms. It begins by introducing cloud computing and scientific workflows. It then describes three main opportunities: 1) increased scale to address larger problems, 2) on-demand resource allocation for improved efficiency, and 3) more flexibility to optimize performance and cost. Several challenges are also outlined, including architectural integration issues, data management difficulties, and the need for cloud-compatible workflow languages and services. The document concludes by proposing research directions to address these challenges and better support scientific workflows in cloud environments.
Work-in-Progress: A Smart Scheduling System for Shared Interactive Remote lab...Mohammed MOUSSA
This document proposes a smart scheduling system for shared interactive remote laboratories. It describes an architecture with server-side and client-side scheduler services. The server-side scheduler acts as a central point of control for load balancing between multiple instances of remote labs. A remote laboratories directory service collects and caches information about labs in a central database. The client-side scheduler provides a user interface for students to book labs. The proposed architecture was tested with four laboratory rigs and could be further improved with additional testing, deployment across multiple partners, monitoring services, and security measures.
The IMPACT Interoperability Framework provides a way to integrate various OCR and other software components into reusable workflows. It uses a Java-based architecture with web services and the open source Taverna workflow system. Developers can integrate new command line tools as web services with minimal effort, and workflows can then be built, shared, and executed through a web portal. The framework has been evaluated for scalability and is intended to support a community around sharing workflows and experiments.
Presentation of the Campus Navigator, a solution for seamlessly guiding visitors indoor and outdoor. The solution was developed by Esri Deutschland and NavVis.
Keyur Joshi is seeking a position as a Software Developer/Engineer. He has a Master's degree in Computer Science from SUNY Buffalo and a Bachelor's degree in Electronics and Communications Engineering. He has over 2 years of experience as a Software Developer at Kuberre Systems, where he develops web applications using technologies like Smart GWT, RESTful services, and DynamoDB. His skills include programming languages like C/C++, Java, Python, and databases like MySQL, Oracle, and Hadoop. He has completed projects in areas like digit recognition, sentiment analysis, click prediction, data warehousing, and distributed systems.
UberCloud HPC Experiment Introduction for Beginnershpcexperiment
1. The document describes an HPC experiment that aims to make HPC resources available on demand for small and medium enterprises (SMEs) and their engineering applications.
2. It details how the experiment works by matching SMEs with software/hardware providers and experts to test running jobs on remote HPC clouds.
3. One example team tested running Abaqus simulations on the SGI Cyclone supercomputer and remotely visualizing results using NICE DCV software to assess the feasibility of using cloud HPC resources.
The IMPACT Interoperability Framework - Workflows for OCR and beyondcneudecker
The IMPACT Interoperability Framework - Workflows for OCR and beyond
Better, faster, cheaper. Solutions of the IMPACT Centre of Competence and future challenges, The British Library, 24-25 October 2011, London, United Kingdom.
Hao Wang is a graduate student in electrical engineering who has experience in robotics, computer vision, and parallel computing. He has a Master's degree from UC Riverside and a Bachelor's degree from Ocean University of China. His skills include C++, Java, Python, Matlab, and ROS. As a graduate student, he designed a GUI for multi-robot control using Qt and implemented shortest path and SLAM algorithms on robots. He also accelerated a CLAHE image enhancement algorithm using GPU parallelization.
The document summarizes results from the EU FP7 MCN project on mobile cloud networking. It describes Hurtle, an open-source orchestration framework, and Cyclops, an open-source rating, charging and billing framework. Hurtle allows users to automate the lifecycle of software services and compose existing services. Cyclops provides a rule-based rating engine and charging/billing capabilities for monetizing software offerings. Both are microservices architectures and result from the MCN project. The document also provides information on the Mobile Cloud Networking project, ZHAW's Service Engineering research area, and SI SIG CC special interest group on cloud computing.
Public Verifiability in Cloud Computing Using Signcryption Based on Elliptic ...IOSR Journals
This document proposes a scheme for public verifiability in cloud computing using signcryption based on elliptic curves. The scheme aims to ensure the correctness of user's data stored on the cloud without demanding the user's time, feasibility, or resources. It utilizes erasure-correcting codes, homomorphic tokens, and distributed verification to guarantee data dependability and allow detection and localization of data errors on misbehaving servers. Signcryption and unsigncryption based on elliptic curves are used to enforce public verifiability, improving on a previous cloud storage model.
This document proposes a scheme for public verifiability in cloud computing using signcryption based on elliptic curves. The key components of the proposed system include users, a cloud service provider, an authentication server, and a certificate authority. The scheme relies on erasure-correcting codes to distribute and redundantly store user data across multiple cloud servers. It uses signcryption/unsigncryption based on elliptic curves to generate verification tokens for the stored data and enable public verifiability, allowing an authentication server to verify the integrity and accuracy of user data on cloud servers without involving the user. The scheme aims to simultaneously detect any data errors and identify the misbehaving servers upon verification.
Containerization Principles Overview for app development and deploymentDr Ganesh Iyer
This is the slide deck from recent Workshop conducted as part of IEEE INDICON 2018 on Containerization principles for next-generation application development and deployment.
Containerization Principles Overview for app development and deployment
WPSClient - Luís de Sousa
1. WPSClient - A client for assynchronous
interaction with WPS written in Python
Lu´ de Sousa, Christian Braun, Chris Eykamp, Ulrich Leopold,
ıs
Olivier Baume and Rui Martins
Public Research Centre Henri Tudor,
Esch-sur-Alzette, Luxembourg.
WPS technologies for
Integrated Assessment Modelling in Urban Areas Workshop
January, 22-24 2014, Belval, Luxembourg
www.tudor.lu
2. Requirements
A generic application
A seamless WPS client to be used by a Web Server;
A generic approach - unawere of databases or client
specificities;
Send assynchronous process requests;
Check process status;
Retrieve results;
Publish geospatial results to a MapServer instance:
Vector layers available as WMS and WFS;
Raster layers available as WMS and WCS;
All layers available in EPSG:3857 plus native CRS.
WPS technologies for Integrated Assessment Modelling in Urban Areas Workshop January, 22-24 2014, Belval, Luxembourg
WPSClient - A client for assynchronous interaction with WPS written in Python
2
3. Design options
Python
GDAL/OGR library;
MapScrit library;
Results processing similar to inputs processing in PyWPS;
Performance not crucial.
Pre-configuarations (not available as application inputs):
MapServer setup;
Aditional CRS;
Fle system locations.
WPS technologies for Integrated Assessment Modelling in Urban Areas Workshop January, 22-24 2014, Belval, Luxembourg
WPSClient - A client for assynchronous interaction with WPS written in Python
3
4. Difficulties
Sending requests through HTTP POST
Required to pass long URLs to WCS and WFS resources;
Thin documentation, few examples available;
Output names must be known in advance.
MapScript
No methods available to set up WFS or WCS;
Thinly documented;
Python library hard to read.
WPS technologies for Integrated Assessment Modelling in Urban Areas Workshop January, 22-24 2014, Belval, Luxembourg
WPSClient - A client for assynchronous interaction with WPS written in Python
4
5. The Map file
A text based generator
Inelegant code.
Totally dependent on the Map file syntaxe.
First version developed in hours.
Easy to maintain and evolve.
WPS technologies for Integrated Assessment Modelling in Urban Areas Workshop January, 22-24 2014, Belval, Luxembourg
WPSClient - A client for assynchronous interaction with WPS written in Python
5
6. Examples of usage
Starting a process
>>> import WPSClient
>>> myCli = WPSClient.WPSClient()
>>> myCli.init(
... "http://wps.iguess.tudor.lu/cgi-bin/pywps.cgi?",
... "slope_aspect",
... ["dem"],
... ["http://maps.iguess.tudor.lu/cgi-bin/mapserv?map=/srv/mapserv/MapFiles/RO_localOWS_test.map
&SERVICE=WCS&FORMAT=image/img&CRS=EPSG:28992&BBOX=92221,436692,92306,436769
&RESX=0.5&RESY=0.5&VERSION=1.0.0&REQUEST=getCoverage&COVERAGE=ro_dsm"],
... ["slope", "aspect"],
... ["slope_result", "aspect_result"])
>>> url = myCli.sendRequest()
>>> print url
http://wps.iguess.tudor.lu/wpsoutputs/pywps-020cc26a-7f92-11e3-a8a7-005056a52e0d.xml
WPS technologies for Integrated Assessment Modelling in Urban Areas Workshop January, 22-24 2014, Belval, Luxembourg
WPSClient - A client for assynchronous interaction with WPS written in Python
6
7. Examples of usage
Checking process status
>>> myCli = WPSClient.WPSClient()
>>> myCli.initFromURL(url, ["slope", "aspect"], ["slope_result", "aspect_result"])
>>> status = myCli.checkStatus()
>>> print status
True
>>> print myCli.statusMessage
None
Retrieving results
>>> myCli = WPSClient.WPSClient()
>>> myCli.initFromURL(url, ["slope", "aspect"], ["slope_result", "aspect_result"])
>>> status = myCli.checkStatus()
>>> print status
True
>>> myCli.epsg = "3035"
>>> myCli.generateMapFile()
DEBUG:WPSClient:Generated layer slope of type raster.
DEBUG:WPSClient:Generated layer aspect of type raster.
INFO:WPSClient:Wrote map file to disk:
/var/www/tmp/pywps-4d87fa24-7f93-11e3-8b10-005056a52e0d.map
WPS technologies for Integrated Assessment Modelling in Urban Areas Workshop January, 22-24 2014, Belval, Luxembourg
WPSClient - A client for assynchronous interaction with WPS written in Python
7
8. Future work
Test with other WPS servers.
Separate the Map file generator as a sub-module - reusable in
other projects.
Proper XML parsing?
WPS 2.0 ?
WPS technologies for Integrated Assessment Modelling in Urban Areas Workshop January, 22-24 2014, Belval, Luxembourg
WPSClient - A client for assynchronous interaction with WPS written in Python
8
9. Thank you
Fork it!
https://github.com/iguess/wpsclient
WPS technologies for Integrated Assessment Modelling in Urban Areas Workshop January, 22-24 2014, Belval, Luxembourg
WPSClient - A client for assynchronous interaction with WPS written in Python
9