scholarly journals Bridging Proprietary Modelling and Open-Source Model Management Tools: The Case of PTC Integrity Modeller and Epsilon

2017 ◽  
Author(s):  
Athanasios Zolotas ◽  
Horacio Hoyos Rodriguez ◽  
Dimitrios S. Kolovos ◽  
Richard F. Paige ◽  
Stuart Hutchesson
Keyword(s):  
Open Source ◽  
Source Model ◽  
Model Management ◽  
Management Tools

scholarly journals Bridging proprietary modelling and open-source model management tools: the case of PTC Integrity Modeller and Epsilon

2019 ◽  
Vol 19 (1) ◽  
pp. 17-38 ◽  
Author(s):  
Athanasios Zolotas ◽  
Horacio Hoyos Rodriguez ◽  
Stuart Hutchesson ◽  
Beatriz Sanchez Pina ◽  
Alan Grigg ◽  
...  
Keyword(s):  
Open Source ◽  
Source Model ◽  
Model Management ◽  
Management Tools

scholarly journals Runtime translation of OCL-like statements on Simulink models: Expanding domains and optimising queries

2021 ◽  
Author(s):  
Beatriz A. Sanchez ◽  
Athanasios Zolotas ◽  
Horacio Hoyos Rodriguez ◽  
Dimitris Kolovos ◽  
Richard F. Paige ◽  
...  
Keyword(s):  
Open Source ◽  
Source Model ◽  
Model Management ◽  
Management Framework ◽  
Domain Specific ◽  
Modelling Framework ◽  
Simulink Model ◽  
Alternative Approach ◽  
The Cost

AbstractOpen-source model management frameworks such as OCL and ATL tend to focus on manipulating models built atop the Eclipse Modelling Framework (EMF), a de facto standard for domain specific modelling. MATLAB Simulink is a widely used proprietary modelling framework for dynamic systems that is built atop an entirely different technical stack to EMF. To leverage the facilities of open-source model management frameworks with Simulink models, these can be transformed into an EMF-compatible representation. Downsides of this approach include the synchronisation of the native Simulink model and its EMF representation as they evolve; the completeness of the EMF representation, and the transformation cost which can be crippling for large Simulink models. We propose an alternative approach to bridge Simulink models with open-source model management frameworks that uses an “on-the-fly” translation of model management constructs into MATLAB statements. Our approach does not require an EMF representation and can mitigate the cost of the upfront transformation on large models. To evaluate both approaches we measure the performance of a model validation process with Epsilon (a model management framework) on a sample of large Simulink models available on GitHub. Our previous results suggest that, with our approach, the total validation time can be reduced by up to 80%. In this paper, we expand our approach to support the management of Simulink requirements and dictionaries, and we improve the approach to perform queries on collections of model elements more efficiently. We demonstrate the use of the Simulink requirements and dictionaries with a case study and we evaluate the optimisations on collection queries with an experiment that compares the performance of a set of queries on models with different sizes. Our results suggest an improvement by up to 99% on some queries.

scholarly journals The Maker Culture and the Open Source Model in the Architecture, Urbanism and Design Context: The Fabrication and Sharing of a Game for Design Teaching

2018 ◽  
Author(s):  
Frederico Braida ◽  
Icaro Chagas ◽  
Isabela Ruback Cascardo de Almeida ◽  
Janaina Mendes de Castro
Keyword(s):  
Open Source ◽  
Source Model ◽  
Maker Culture

scholarly journals Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex

2021 ◽  
pp. 47-59
Author(s):  
Sacha J. van Albada ◽  
Jari Pronold ◽  
Alexander van Meegen ◽  
Markus Diesmann
Keyword(s):  
Open Source ◽  
Large Scale ◽  
Network Models ◽  
Macaque Monkey ◽  
Source Model ◽  
Model Specification ◽  
Data Sets ◽  
Neural Network Models ◽  
Wide Range ◽  
Ict Infrastructure

AbstractWe are entering an age of ‘big’ computational neuroscience, in which neural network models are increasing in size and in numbers of underlying data sets. Consolidating the zoo of models into large-scale models simultaneously consistent with a wide range of data is only possible through the effort of large teams, which can be spread across multiple research institutions. To ensure that computational neuroscientists can build on each other’s work, it is important to make models publicly available as well-documented code. This chapter describes such an open-source model, which relates the connectivity structure of all vision-related cortical areas of the macaque monkey with their resting-state dynamics. We give a brief overview of how to use the executable model specification, which employs NEST as simulation engine, and show its runtime scaling. The solutions found serve as an example for organizing the workflow of future models from the raw experimental data to the visualization of the results, expose the challenges, and give guidance for the construction of an ICT infrastructure for neuroscience.

scholarly journals Comparing an insurer's perspective on building damages with modelled damages from pan-European winter windstorm event sets: a case study from Zurich, Switzerland

2021 ◽  
Vol 21 (1) ◽  
pp. 279-299
Author(s):  
Christoph Welker ◽  
Thomas Röösli ◽  
David N. Bresch
Keyword(s):  
Open Source ◽  
Return Period ◽  
Model Building ◽  
Information Service ◽  
Source Model ◽  
Insurance Companies ◽  
Risk Models ◽  
Risk Modelling ◽  
Modelling Approach

Abstract. With access to claims, insurers have a long tradition of being knowledge leaders on damages caused by windstorms. However, new opportunities have arisen to better assess the risks of winter windstorms in Europe through the availability of historic footprints provided by the Windstorm Information Service (Copernicus WISC). In this study, we compare how modelling of building damages complements claims-based risk assessment. We describe and use two windstorm risk models: an insurer's proprietary model and the open source CLIMADA platform. Both use the historic WISC dataset and a purposefully built, probabilistic hazard event set of winter windstorms across Europe to model building damages in the canton of Zurich, Switzerland. These approaches project a considerably lower estimate for the annual average damage (CHF 1.4 million), compared to claims (CHF 2.3 million), which originates mainly from a different assessment of the return period of the most damaging historic event Lothar–Martin. Additionally, the probabilistic modelling approach allows assessment of rare events, such as a 250-year-return-period windstorm causing CHF 75 million in damages, including an evaluation of the uncertainties. Our study emphasizes the importance of complementing a claims-based perspective with a probabilistic risk modelling approach to better understand windstorm risks. The presented open-source model provides a straightforward entry point for small insurance companies.

JuTrack: A Digital Biomarker Platform for Remote Monitoring in Neuropsychiatric and Psychiatric Diseases (Preprint)

2021 ◽  
Author(s):  
Mehran Sahandi Far ◽  
Michael Stolz ◽  
Jona Marcus Fischer ◽  
Simon B Eickhoff ◽  
Juergen Dukart
Keyword(s):  
Data Management ◽  
Open Source ◽  
Remote Monitoring ◽  
Daily Life ◽  
Smartphone Application ◽  
Valuable Insight ◽  
Motion Sensors ◽  
Management Tools ◽  
General Data Protection Regulation ◽  
Wide Range

BACKGROUND Health-related data being collected by smartphones offer a promising complementary approach to in-clinic assessments. OBJECTIVE Here we introduce the JuTrack platform as a secure, reliable and extendable open-source solution for remote monitoring in daily-life and digital phenotyping. METHODS JuTrack consists of an Android-based smartphone application and a web-based project management dashboard. A wide range of anonymized measurements from motion-sensors, social and physical activities and geolocation information can be collected in either active or passive modes. The dashboard also provides management tools to monitor and manage data collection across studies. To facilitate scaling, reproducibility, data management and sharing we integrated DataLad as a data management infrastructure. JuTrack was developed to comply with security, privacy and the General Data Protection Regulation (GDPR) requirements. RESULTS JuTrack is an open-source (released under open-source Apache 2.0 licenses) platform for remote assessment of digital biomarkers (DB) in neurological, psychiatric and other indications. The main components of the JuTrack platform and examples of data being collected using JuTrack are presented here. CONCLUSIONS Smartphone-based Digital Biomarker data may provide valuable insight into daily life behaviour in health and disease. JuTrack provides an easy and reliable open-source solution for collection of such data.

Scientific Authorship and E-commons

2010 ◽  
pp. 193-205
Author(s):  
Luc Schneider
Keyword(s):  
Open Access ◽  
Open Source ◽  
Scientific Knowledge ◽  
Scientific Community ◽  
Scientific Literature ◽  
Source Model ◽  
Public Domain ◽  
Scientific Publications ◽  
Scientific Authorship ◽  
The Web

This contribution tries to assess how the Web is changing the ways in which scientific knowledge is produced, distributed and evaluated, in particular how it is transforming the conventional conception of scientific authorship. After having properly introduced the notions of copyright, public domain and (e-)commons, I will critically assess James Boyle's (2003, 2008) thesis that copyright and scientific (e-) commons are antagonistic, but I will mostly agree with the related claim by Stevan Harnad (2001a,b, 2008) that copyright has become an obstacle to the accessibility of scientific works. I will even go further and argue that Open Access schemes not only solve the problem of the availability of scientific literature, but may also help to tackle the uncontrolled multiplication of scientific publications, since these publishing schemes are based on free public licenses allowing for (acknowledged) re-use of texts. However, the scientific community does not seem to be prepared yet to move towards an Open Source model of authorship, probably due to concerns related to attributing credit and responsability for the expressed hypotheses and results. Some strategies and tools that may encourage a change of academic mentality in favour of a conception of scientific authorship modelled on the Open Source paradigm are discussed.

Open Source, Crowdsourcing, and Public Engagement

2012 ◽  
pp. 181-199 ◽  
Author(s):  
Helen K. Liu
Keyword(s):  
Open Source ◽  
Public Engagement ◽  
Analytical Framework ◽  
Source Model ◽  
Public Affairs ◽  
Information Selection ◽  
The Public ◽  
The U.S ◽  
Three Components

This chapter is an investigation of open source, crowdsourcing, and public engagement in the public and nonprofit sectors through four cases: (1) Changemakers competitions, (2) Peer to Patent in the U.S., (3) Future Melbourne 2020 in Australia, and (4) Idea Box in Japan. Macintosh’s (2004) case analytical framework is adopted to systematically document the four cases for comparisons. From the literature three components are identified to understand the open source and crowdsourcing models: initiator, mechanism for information selection, and beneficiary. Three components are used to examine how governments or nonprofits adopt the open source model or crowdsourcing model to facilitate public engagement. The conclusion is that different designs of the projects might lead to different scales of public engagement, defined by Savar & Denhardt (2010). Finally, some potential issues and challenges of implementing the open source and crowdsourcing models to facilitate engagement in public affairs are discussed.

An open-source model of the Western Climate Initiative cap-and-trade programme with supply-demand scenarios to 2030

2020 ◽  
Vol 20 (5) ◽  
pp. 626-640
Author(s):  
Mason Inman ◽  
Michael D. Mastrandrea ◽  
Danny Cullenward
Keyword(s):  
Open Source ◽  
Source Model ◽  
Cap And Trade
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