Combined charged-particle and X-ray simulations using the Bmad open source software library

2011 ◽  
Author(s):  
D. Sagan ◽  
J. Y. Chee ◽  
K. Finkelstein ◽  
G. Hoffstaetter
Keyword(s):  
Charged Particle ◽  
Open Source ◽  
Open Source Software ◽  
Software Library ◽  
X Ray

scholarly journals SynBiopython: an open-source software library for Synthetic Biology

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Jing Wui Yeoh ◽  
Neil Swainston ◽  
Peter Vegh ◽  
Valentin Zulkower ◽  
Pablo Carbonell ◽  
...  
Keyword(s):  
Synthetic Biology ◽  
Open Source ◽  
Open Source Software ◽  
Development Projects ◽  
Software Library ◽  
Current State ◽  
Starting Point ◽  
Common Problems ◽  
Data Tracking ◽  
Python Package

Abstract Advances in hardware automation in synthetic biology laboratories are not yet fully matched by those of their software counterparts. Such automated laboratories, now commonly called biofoundries, require software solutions that would help with many specialized tasks such as batch DNA design, sample and data tracking, and data analysis, among others. Typically, many of the challenges facing biofoundries are shared, yet there is frequent wheel-reinvention where many labs develop similar software solutions in parallel. In this article, we present the first attempt at creating a standardized, open-source Python package. A number of tools will be integrated and developed that we envisage will become the obvious starting point for software development projects within biofoundries globally. Specifically, we describe the current state of available software, present usage scenarios and case studies for common problems, and finally describe plans for future development. SynBiopython is publicly available at the following address: http://synbiopython.org.

TheSmall Angle Scattering ToolBox(SASTBX): an open-source software for biomolecular small-angle scattering

2012 ◽  
Vol 45 (3) ◽  
pp. 587-593 ◽  
Author(s):  
Haiguang Liu ◽  
Alexander Hexemer ◽  
Peter H. Zwart
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Small Angle ◽  
Small Angle Scattering ◽  
Scattering Data ◽  
Model Reconstruction ◽  
Biomolecular Structure ◽  
X Ray ◽  
Structure And Dynamics ◽  
Angle Scattering

Small-angle X-ray and neutron scattering experiments are broadly applied to study biomolecular structure and dynamics. This article presents theSmall Angle Scattering ToolBox(SASTBX), which provides a wide-ranging functionality for the analysis of biological small-angle scattering data, from data reduction to model reconstruction and refinement. TheSASTBXis an open-source package, which is freely available at http://sastbx.als.lbl.gov.

scholarly journals Development of framework for detecting smoking scene in video clips

2019 ◽  
Vol 13 (1) ◽  
pp. 22
Author(s):  
Poonam Ghuli ◽  
Shashank B N ◽  
Athri G Rao
Keyword(s):  
Machine Learning ◽  
Object Detection ◽  
Open Source ◽  
Image Recognition ◽  
Open Source Software ◽  
Software Library ◽  
Accurate Model ◽  
Video Clips ◽  
Warning Messages ◽  
Warning Message

<p>According to Global Adult Tobacco Survey 2016-17, 61.9% of people quitting tobacco the reason was the warnings displayed on the product covers. The focus of this paper is to automatically display warning messages in video clips. This paper explains the development of a system to automatically detect the smoking scenes using image recognition approach in video clips and then add the warning message to the viewer.  The approach aims to detect the cigarette object using Tensorflow’s object detection API. Tensorflow is an open source software library for machine learning provided by Google which is broadly used in the field image recognition. At present, Faster R-CNN with Inception ResNet is theTensorflow’s slowest but most accurate model. Faster R-CNN with Inception Resnet v2 model is used to detect smoking scenes by training the model with cigarette as an object.</p><p><em><br /></em></p>

X-Light: an open-source software written in Python to determine the residual stress by X-ray diffraction

2021 ◽  
Vol 54 (4) ◽  
Author(s):  
Tu-Quoc-Sang Pham ◽  
Guillaume Geandier ◽  
Nicolas Ratel-Ramond ◽  
Charles Mareau ◽  
Benoit Malard
Keyword(s):  
Residual Stress ◽  
User Interface ◽  
Synchrotron Radiation ◽  
Stress Analysis ◽  
Open Source ◽  
Graphical User Interface ◽  
Open Source Software ◽  
Diffraction Data ◽  
X Ray Diffraction ◽  
X Ray

X-Light is an open-source software that is written in Python with a graphical user interface. X-Light was developed to determine residual stress by X-ray diffraction. This software can process the 0D, 1D and 2D diffraction data obtained with laboratory diffractometers or synchrotron radiation. X-Light provides several options for stress analysis and five functions to fit a peak: Gauss, Lorentz, Pearson VII, pseudo-Voigt and Voigt. The residual stress is determined by the conventional sin2ψ method and the fundamental method.

scholarly journals BioSig: The Free and Open Source Software Library for Biomedical Signal Processing

2011 ◽  
Vol 2011 ◽  
pp. 1-12 ◽  
Author(s):  
Carmen Vidaurre ◽  
Tilmann H. Sander ◽  
Alois Schlögl
Keyword(s):  
Signal Processing ◽  
Open Source ◽  
Open Source Software ◽  
Biomedical Signal Processing ◽  
Software Library ◽  
Biomedical Signal ◽  
Computer Interfaces ◽  
Relevant Element ◽  
Electrocardiogram Ecg ◽  
Electroencephalogram Eeg

BioSig is an open source software library for biomedical signal processing. The aim of the BioSig project is to foster research in biomedical signal processing by providing free and open source software tools for many different application areas. Some of the areas where BioSig can be employed are neuroinformatics, brain-computer interfaces, neurophysiology, psychology, cardiovascular systems, and sleep research. Moreover, the analysis of biosignals such as the electroencephalogram (EEG), electrocorticogram (ECoG), electrocardiogram (ECG), electrooculogram (EOG), electromyogram (EMG), or respiration signals is a very relevant element of the BioSig project. Specifically, BioSig provides solutions for data acquisition, artifact processing, quality control, feature extraction, classification, modeling, and data visualization, to name a few. In this paper, we highlight several methods to help students and researchers to work more efficiently with biomedical signals.

scholarly journals Libkrylov: A modular open-source software library for extremely large and dense eigenvalue and linear problems

2020 ◽  
Author(s):  
Luke Nambi Mohanam ◽  
Filipp Furche ◽  
Ziyue Shen ◽  
Samuel Bekoe ◽  
Naje' George
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Library ◽  
Linear Problems
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