VOLTTRON: An Open-Source Software Platform of the Future

2016 ◽  
Vol 4 (4) ◽  
pp. 15-22 ◽  
Author(s):  
Srinivas Katipamula ◽  
Jereme Haack ◽  
George Hernandez ◽  
Bora Akyol ◽  
Joseph Hagerman
Author(s):  
Jonathan Shapey ◽  
Thomas Dowrick ◽  
Rémi Delaunay ◽  
Eleanor C. Mackle ◽  
Stephen Thompson ◽  
...  

Abstract Purpose Image-guided surgery (IGS) is an integral part of modern neuro-oncology surgery. Navigated ultrasound provides the surgeon with reconstructed views of ultrasound data, but no commercial system presently permits its integration with other essential non-imaging-based intraoperative monitoring modalities such as intraoperative neuromonitoring. Such a system would be particularly useful in skull base neurosurgery. Methods We established functional and technical requirements of an integrated multi-modality IGS system tailored for skull base surgery with the ability to incorporate: (1) preoperative MRI data and associated 3D volume reconstructions, (2) real-time intraoperative neurophysiological data and (3) live reconstructed 3D ultrasound. We created an open-source software platform to integrate with readily available commercial hardware. We tested the accuracy of the system’s ultrasound navigation and reconstruction using a polyvinyl alcohol phantom model and simulated the use of the complete navigation system in a clinical operating room using a patient-specific phantom model. Results Experimental validation of the system’s navigated ultrasound component demonstrated accuracy of $$<4.5\,\hbox {mm}$$ < 4.5 mm and a frame rate of 25 frames per second. Clinical simulation confirmed that system assembly was straightforward, could be achieved in a clinically acceptable time of $$<15\,\hbox {min}$$ < 15 min and performed with a clinically acceptable level of accuracy. Conclusion We present an integrated open-source research platform for multi-modality IGS. The present prototype system was tailored for neurosurgery and met all minimum design requirements focused on skull base surgery. Future work aims to optimise the system further by addressing the remaining target requirements.


2010 ◽  
Vol 4 (1) ◽  
Author(s):  
Isabel Rocha ◽  
Paulo Maia ◽  
Pedro Evangelista ◽  
Paulo Vilaça ◽  
Simão Soares ◽  
...  

2019 ◽  
Vol 1 (5) ◽  
pp. 362-377 ◽  
Author(s):  
Aaron Bray ◽  
Jeffrey B. Webb ◽  
Andinet Enquobahrie ◽  
Jared Vicory ◽  
Jerry Heneghan ◽  
...  

2014 ◽  
Vol 17 (07n08) ◽  
pp. 1550005 ◽  
Author(s):  
QI XUAN ◽  
CHENBO FU ◽  
LI YU

In open source software (OSS) projects, participants initially communicate with others and then may become developers if they are deemed worthy by the community. Recent studies indicate that the abundance of established social links of a participant is the strongest predictor to his/her promotion. Having reliable rankings of the candidates is key to recruiting and maintaining a successful operation of an OSS project. This paper adopts degree-based, PageRank, and Hits ranking algorithms to rank developer candidates in OSS projects based on their social links. We construct several types of social networks based on the communications between the participants in Apache OSS projects, then train and test the ranking algorithms in these networks. We find that, for all the ranking algorithms under study, the rankings of emergent developers in temporal networks are higher than those in cumulative ones, indicating that the more recent communications of a developer in a project are more important to predict his/her first commit in the project. By comparison, the simple degree-based and the PageRank ranking algorithms in temporal undirected weighted networks behave better than the others in identifying emergent developers based on four performance indicators, and are thus recommended to be applied in the future.


2019 ◽  
Vol 5 (2) ◽  
pp. 150
Author(s):  
Resty Jayanti Fakhlina ◽  
Dwi Fajar Saputra

Background of the study: Open source software is an open-based software and can be accessed for free. This open source software is growing rapidly at domestic and overseas. Many criteria are used by users. In this case, the library Also, choosing the open source software they need. There are several organization that a accommodate Review these users of open source software in Indonesia. Some of the open source software is the Slims organizes community and Surabaya's Linux Community.Purpose: The purpose of this study was to determine the development and contribution of the community to libraries in Indonesia.Method: The method used is a qualitative method with a descriptive approach.Findings: The results of this study are the Open Source Community the which plays an important role in the progress of libraries in Indonesia, this can be seen from the number of school libraries that have implemented an IT in providing services to users by using open source software.Conclusion: The conclusion is the development and contribution of the Open Source Community in Indonesia is needed for the progress of the library in the future.


Author(s):  
Rick Helmus ◽  
Thomas Ter laak ◽  
Pim de Voogt ◽  
Annemarie van Wezel ◽  
Emma Schymanski

Abstract Mass spectrometry based non-target analysis is increasingly adopted in environmental sciences to screen and identify numerous chemicals simultaneously in highly complex samples. However, current data processing software either lack functionality for environmental sciences, solve only part of the workflow, are not openly available and/or are restricted in input data formats. In this paper we present patRoon, a new R based open-source software platform, which provides comprehensive, fully tailoredand straightforwardnon-target analysis workflows. This platform makes the usage, evaluation and mixing of well-tested algorithms seamless by harmonizing various commonly (primarily open) software tools under a consistent interface. In addition, patRoonoffersvarious functionality and strategies tosimplify and perform automated processing of complex (environmental) data effectively.patRoon implements several effective optimization strategies to significantly reduce computational times. The ability of patRoon to perform a straightforward and effective non-target analysis was demonstrated with real-world environmental samples, showing thatpatRoonmakes comprehensive (environmental) non-target analysis readily accessible to a wider community of researchers.


2021 ◽  
Vol 61 (5) ◽  
pp. 203-213

The automation of business processes and operations is a global trend. Automation is software or mechanical self-fulfilling process without or with a minimal human intervention and control. In specific processes and parts of the energy transport the automation is already happening. It can replace significant part of human labour or just to take and reduce the routine physical or repeating mental efforts of the jobs. Automation tools and systems in the energy transport are strongly dominated by open-source software automation tools. Therefore, a part of professional skills required before automation will not be useful in the future, but to handle automation trend, many new skills and knowledge will be needed by the human jobs of the future.


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