An Infrastructure for Collaborative Ontology Development

Collaborative development of a shared or standardized ontology presents unique issues in workflow, version control, testing, and quality control. These challenges are similar to challenges faced in large-scale collaborative software development. We have taken this idea as the basis of a collaborative ontology development platform based on familiar software tools, including Continuous Integration platforms, version control systems, testing platforms, and review workflows. We have implemented these using open-source versions of each of these tools, and packaged them into a full-service collaborative platform for collaborative ontology development. This platform has been used in the development of FIBO, the Financial Industry Business Ontology, an ongoing collaborative effort that has been developing and maintaining a set of ontologies for over a decade. The platform is open-source and is being used in other projects beyond FIBO. We hope to continue this trend and improve the state of practice of collaborative ontology design in many more industries.

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Next-Generation Multiphase Flow Solver for Fluidized Bed Applications

Volume 1C, Symposia: Gas-Liquid Two-Phase Flows; Gas and Liquid-Solid Two-Phase Flows; Numerical Methods for Multiphase Flow; Turbulent Flows: Issues and Perspectives; Flow Applications in Aerospace; Fluid Power; Bio-Inspired Fluid Mechanics; Flow Manipulation and Active Control; Fundamental Issues and Perspectives in Fluid Mechanics; Transport Phenomena in Energy Conversion From Clean and Sustainable Resources; Transport Phenomena in Materials Processing and Manufacturing Processes ◽

10.1115/fedsm2017-69555 ◽

2017 ◽

Cited By ~ 1

Author(s):

V. M. Krushnarao Kotteda ◽

Ashesh Chattopadhyay ◽

Vinod Kumar ◽

William Spotz

Keyword(s):

Multiphase Flow ◽

Open Source ◽

Fluidized Bed ◽

Large Scale ◽

General Purpose ◽

Iterative Solvers ◽

Next Generation ◽

Linear Solvers ◽

Development Platform ◽

The Matrix

A framework is developed to integrate MFiX (Multiphase Flow with Interphase eXchanges) with advanced linear solvers in Trilinos. MFiX is a widely used open source general purpose multiphase solver developed by National Energy Technology Laboratories and written in Fortran. Trilinos is an objected-oriented open source software development platform from Sandia National Laboratories for solving large scale multiphysics problems. The framework handles the different data structures in Fortran and C++ and exchanges the information from MFiX to Trilinos and vice versa. The integrated solver, called MFiX-Trilinos hereafter, provides next-generation computational capabilities including scalable linear solvers for distributed memory massively parallel computers. In this paper, the solution from the standard linear solvers in MFiX-Trilinos is validated against the same from MFiX for 2D and 3D fluidized bed problems. The standard iterative solvers considered in this work are Bi-Conjugate Gradient Stabilized (BiCGStab) and Generalized minimal residual methods (GMRES) as the matrix is non-symmetric in nature. The stopping criterion set for the iterative solvers is same. It is observed that the solution from the integrated solver and MFiX is in good agreement.

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Proposal of a collaborative software development platform for the virtual universities: The Virtual University of the Senegal (UVS) experience

2015 5th World Congress on Information and Communication Technologies (WICT) ◽

10.1109/wict.2015.7489639 ◽

2015 ◽

Cited By ~ 2

Author(s):

Samuel Ouya ◽

Kokou Gaglo ◽

Gervais Mendy ◽

Ahmath Bamba ◽

Claude Lishou Niang

Keyword(s):

Software Development ◽

Virtual University ◽

Development Platform ◽

Collaborative Software ◽

Virtual Universities ◽

Collaborative Software Development

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Faculty Opinions recommendation of A Scalable Open-Source Pipeline for Large-Scale Root Phenotyping of Arabidopsis.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718447140.793507250 ◽

2015 ◽

Author(s):

José Dinneny

Keyword(s):

Open Source ◽

Large Scale ◽

Root Phenotyping

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A standardized framework for testing the performance of sleep-tracking technology: step-by-step guidelines and open-source code

SLEEP ◽

10.1093/sleep/zsaa170 ◽

2020 ◽

Author(s):

Luca Menghini ◽

Nicola Cellini ◽

Aimee Goldstone ◽

Fiona C Baker ◽

Massimiliano de Zambotti

Keyword(s):

Open Source ◽

Validation Studies ◽

Large Scale ◽

Analytical Framework ◽

Clinical Settings ◽

Large Scale Data ◽

Fast Pace ◽

Epoch Analysis ◽

Tracking Devices

Abstract Sleep-tracking devices, particularly within the consumer sleep technology (CST) space, are increasingly used in both research and clinical settings, providing new opportunities for large-scale data collection in highly ecological conditions. Due to the fast pace of the CST industry combined with the lack of a standardized framework to evaluate the performance of sleep trackers, their accuracy and reliability in measuring sleep remains largely unknown. Here, we provide a step-by-step analytical framework for evaluating the performance of sleep trackers (including standard actigraphy), as compared with gold-standard polysomnography (PSG) or other reference methods. The analytical guidelines are based on recent recommendations for evaluating and using CST from our group and others (de Zambotti and colleagues; Depner and colleagues), and include raw data organization as well as critical analytical procedures, including discrepancy analysis, Bland–Altman plots, and epoch-by-epoch analysis. Analytical steps are accompanied by open-source R functions (depicted at https://sri-human-sleep.github.io/sleep-trackers-performance/AnalyticalPipeline_v1.0.0.html). In addition, an empirical sample dataset is used to describe and discuss the main outcomes of the proposed pipeline. The guidelines and the accompanying functions are aimed at standardizing the testing of CSTs performance, to not only increase the replicability of validation studies, but also to provide ready-to-use tools to researchers and clinicians. All in all, this work can help to increase the efficiency, interpretation, and quality of validation studies, and to improve the informed adoption of CST in research and clinical settings.

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PRISMS-Fatigue computational framework for fatigue analysis in polycrystalline metals and alloys

npj Computational Materials ◽

10.1038/s41524-021-00506-8 ◽

2021 ◽

Vol 7 (1) ◽

Author(s):

Mohammadreza Yaghoobi ◽

Krzysztof S. Stopka ◽

Aaditya Lakshmanan ◽

Veera Sundararaghavan ◽

John E. Allison ◽

...

Keyword(s):

Open Source ◽

Open Source Software ◽

Large Scale ◽

Metals And Alloys ◽

Analysis Tool ◽

Computational Framework ◽

Crystal Plasticity Finite Element ◽

Polycrystalline Metals ◽

Simulation Based ◽

Open Source Framework

AbstractThe PRISMS-Fatigue open-source framework for simulation-based analysis of microstructural influences on fatigue resistance for polycrystalline metals and alloys is presented here. The framework uses the crystal plasticity finite element method as its microstructure analysis tool and provides a highly efficient, scalable, flexible, and easy-to-use ICME community platform. The PRISMS-Fatigue framework is linked to different open-source software to instantiate microstructures, compute the material response, and assess fatigue indicator parameters. The performance of PRISMS-Fatigue is benchmarked against a similar framework implemented using ABAQUS. Results indicate that the multilevel parallelism scheme of PRISMS-Fatigue is more efficient and scalable than ABAQUS for large-scale fatigue simulations. The performance and flexibility of this framework is demonstrated with various examples that assess the driving force for fatigue crack formation of microstructures with different crystallographic textures, grain morphologies, and grain numbers, and under different multiaxial strain states, strain magnitudes, and boundary conditions.

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