CyberGIS-Jupyter for Water Quarterly Release Announcement (2020 Q2)
Dear HydroShare Users,
We are pleased to announce a new quarterly release of CyberGIS-Jupyter for Water (CJW) platform at https://go.illinois.edu/cybergis-jupyter-water. This release includes new capabilities to support the geoanalytics suite of GRASS for model pre/post-processing, PostGIS database, and Landlab Earth surface modelling toolkit along with several enhancements to job submission middleware, system security as well as service infrastructure. Please refer to the following list for details and examples.
Please let us know if you have any questions or run into any problems (help@cybergis.org). Any feedback would be greatly appreciated.
Best regards, CyberGIS-Hydro team
GRASS GIS for model pre/post-processing: Learn how to consolidate the features of the GRASS geoanalytics suite to support pre/post-processing for SUMMA and RHESSYs models in CJW. Example notebooks: https://www.hydroshare.org/resource/4cbcfdd6e7f943e2969dd52e780bc52d/
Manage geospatial data with PostGIS: PostGIS is an extension to the PostgreSQL object-relational database system which allows geospatial data to be efficiently stored while providing various advanced functions for in-situ data analysis and processing. Example notebooks: https://www.hydroshare.org/resource/bb779d4cce564dd6afcf463c8910786f/
Security and service infrastructure enhancements Trusted group: Starting from this release, all users are required to join the “CyberGIS-Jupyter for Water” trusted group at https://www.hydroshare.org/group/157 in order to access the CJW platform, which is a preventive measure to protect the shared computing resources from being abused by malicious users. A complete user profile page is highly recommended to expedite the approval process. User metric submission to XSEDE: CJW, as a science gateway, is now sending unique user usage metrics to XSEDE to comply with its requirements.
Landlab for enabling collaborative numerical modeling in Earth sciences using knowledge infrastructure Example notebooks: https://www.hydroshare.org/resource/370c288b61b84794b847ef85c4dd4ffb/ https://www.hydroshare.org/resource/6add6bee06bb4050bfe23e1081627614/
Job submission enhancements Refactored the structure of the cyberGIS job submission system Data-driven implementation for avoiding excessive data transmission between HydroShare and CJW Add the specification of input parameters into a JSON file to improve the flexibility and generality of model management Enable HPC-SUMMA object that can directly call SUMMA Example notebooks: https://www.hydroshare.org/resource/4a4a22a69f92497ead81cc48700ba8f8/
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The Engineering Software Market size was valued at USD 44.22 USD Billion in 2023 and is projected to reach USD 87.28 USD Billion by 2032, exhibiting a CAGR of 10.2 % during the forecast period. Software engineering is the branch of computer science that deals with the design, development, testing, and maintenance of software applications. Software engineers apply engineering principles and knowledge of programming languages to build software solutions for end users. Software engineers design and develop computer games, business applications, operating systems, network control systems, and middleware. A software engineer applies a software development process, which involves the definition, implementation, testing, management, and maintenance of software systems and with development of the software development process itself. Recent developments include: January 2024: Esri announced a partnership with Autodesk with the aim of integrating ArcGIS Living Atlas of the World layers and ArcGIS Basemaps into Autodesk's products. The ArcGIS Living Atlas of the World layers and ArcGIS Basemaps will be available in the Autodesk product suite to provide geospatial data from the foremost collection of global geographic information., December 2023: JSOL Corporation partnered with Hexagon's Manufacturing Intelligence division to develop the virtual prototype of electrified powertrains through multi-physics simulation. The partnership aims to offer global customers highly productive and accurate virtual prototypes of difficult electro-mechanical systems., December 2023: Aras and AVEVA, an industrial software company, collaborated with McDermott, a construction and engineering procurement company, to assess a new asset lifecycle management (ALM) and PLM tool for the oil & gas, energy, and nuclear divisions. The aim of testing the ALM software is to limit the risks and costs of the project's lifecycle by improving traceability, decision-making, and collaboration in an industrial environment., October 2023: PTC collaborated with Volkswagen Group to integrate PTC's Codebeamer, an application lifecycle management (ALM) solution, to adopt the software from the Volkswagen Group for the next-generation electric vehicles., October 2023: Autodesk acquired FlexSim, a simulation technology provider, by integrating FlexSim’s factory simulation technology with Autodesk’s factory design solutions and providing layout scenarios, in-depth model analysis, and process simulation to users that enable factory and logistics center operators to improve their processes. Through the acquisition, FlexSim will integrate Autodesk Fusion, which includes CAD, CAM, PLM, CAE, PCB design, and MES software, into a single, cloud-based solution.. Key drivers for this market are: Increasing Adoption of High-tech Technologies, such as 3D Modeling and Digitization, to Boost Market Growth. Potential restraints include: Complexity of Engineering Software and Lack of Standardization May Impede the Market Progress. Notable trends are: Increasing Use of SaaS-based Cloud Engineering Software Contributes to the Market Expansion.
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CyberGIS-Jupyter for Water Quarterly Release Announcement (2020 Q2)
Dear HydroShare Users,
We are pleased to announce a new quarterly release of CyberGIS-Jupyter for Water (CJW) platform at https://go.illinois.edu/cybergis-jupyter-water. This release includes new capabilities to support the geoanalytics suite of GRASS for model pre/post-processing, PostGIS database, and Landlab Earth surface modelling toolkit along with several enhancements to job submission middleware, system security as well as service infrastructure. Please refer to the following list for details and examples.
Please let us know if you have any questions or run into any problems (help@cybergis.org). Any feedback would be greatly appreciated.
Best regards, CyberGIS-Hydro team
GRASS GIS for model pre/post-processing: Learn how to consolidate the features of the GRASS geoanalytics suite to support pre/post-processing for SUMMA and RHESSYs models in CJW. Example notebooks: https://www.hydroshare.org/resource/4cbcfdd6e7f943e2969dd52e780bc52d/
Manage geospatial data with PostGIS: PostGIS is an extension to the PostgreSQL object-relational database system which allows geospatial data to be efficiently stored while providing various advanced functions for in-situ data analysis and processing. Example notebooks: https://www.hydroshare.org/resource/bb779d4cce564dd6afcf463c8910786f/
Security and service infrastructure enhancements Trusted group: Starting from this release, all users are required to join the “CyberGIS-Jupyter for Water” trusted group at https://www.hydroshare.org/group/157 in order to access the CJW platform, which is a preventive measure to protect the shared computing resources from being abused by malicious users. A complete user profile page is highly recommended to expedite the approval process. User metric submission to XSEDE: CJW, as a science gateway, is now sending unique user usage metrics to XSEDE to comply with its requirements.
Landlab for enabling collaborative numerical modeling in Earth sciences using knowledge infrastructure Example notebooks: https://www.hydroshare.org/resource/370c288b61b84794b847ef85c4dd4ffb/ https://www.hydroshare.org/resource/6add6bee06bb4050bfe23e1081627614/
Job submission enhancements Refactored the structure of the cyberGIS job submission system Data-driven implementation for avoiding excessive data transmission between HydroShare and CJW Add the specification of input parameters into a JSON file to improve the flexibility and generality of model management Enable HPC-SUMMA object that can directly call SUMMA Example notebooks: https://www.hydroshare.org/resource/4a4a22a69f92497ead81cc48700ba8f8/