scholarly journals The Development of Laboratory Work on the Topic: Pre-processing of Information from CVS Sensors of a Mobile Rescue Robot in Smoke Conditions

2020 ◽  
Vol 35 ◽  
pp. 04004
Author(s):  
Konstantin S. Bogushev ◽  
Vasily I. Rubtsov
Keyword(s):  
Open Source ◽  
Long Range ◽  
Open Source Software ◽  
Color Image ◽  
Laboratory Work ◽  
Range Image ◽  
Rescue Robot ◽  
Television Camera ◽  
Second Stage ◽  
Selection Of

The solution to the problem of processing long-range and television information received by the sensors of a mobile rescue robot in a smoke-filled environment is considered. A selection of budget sensors is made among those available in the free sale and having open-source software. The selected sensors are linked into a single information field in the free ROS software package using open-source libraries. The first stage of processing is the calibration of sensors to reduce the effect of distortion, as well as comparing the color image of the television camera with the readings of the rangefinder. The second stage is the analysis of existing solutions for image filtering in smoke conditions and the selection of the best according to the criteria for reducing the number of “smoke-filled” pixels and speed of response. In this paper, an algorithm is selected based on an atmospheric physical model with image analysis in the YCrCb space. The operation of this algorithm is demonstrated and a method for approximating a long-range image using a filtered color image is proposed to restore information from a rangefinder and further construct a model of the environment. Suggestions were made for further analysis and improving the accuracy of the algorithm. Based on this decision, laboratory work was formed in the course “RS designing”.

scholarly journals Open Plot Project: an open-source toolkit for 3-D structural data analysis

Solid Earth ◽  
2011 ◽  
Vol 2 (1) ◽  
pp. 53-63 ◽  
Author(s):  
S. Tavani ◽  
P. Arbues ◽  
M. Snidero ◽  
N. Carrera ◽  
J. A. Muñoz
Keyword(s):  
Spatial Distribution ◽  
Data Analysis ◽  
Open Source ◽  
Open Source Software ◽  
Source Code ◽  
Structural Data ◽  
Geological Modelling ◽  
Analysis Tools ◽  
Transect Analysis ◽  
Selection Of

Abstract. In this work we present the Open Plot Project, an open-source software for structural data analysis, including a 3-D environment. The software includes many classical functionalities of structural data analysis tools, like stereoplot, contouring, tensorial regression, scatterplots, histograms and transect analysis. In addition, efficient filtering tools are present allowing the selection of data according to their attributes, including spatial distribution and orientation. This first alpha release represents a stand-alone toolkit for structural data analysis. The presence of a 3-D environment with digitalising tools allows the integration of structural data with information extracted from georeferenced images to produce structurally validated dip domains. This, coupled with many import/export facilities, allows easy incorporation of structural analyses in workflows for 3-D geological modelling. Accordingly, Open Plot Project also candidates as a structural add-on for 3-D geological modelling software. The software (for both Windows and Linux O.S.), the User Manual, a set of example movies (complementary to the User Manual), and the source code are provided as Supplement. We intend the publication of the source code to set the foundation for free, public software that, hopefully, the structural geologists' community will use, modify, and implement. The creation of additional public controls/tools is strongly encouraged.

scholarly journals EPOS: EEG Processing Open-Source Scripts

2021 ◽  
Vol 15 ◽  
Author(s):  
Johannes Rodrigues ◽  
Martin Weiß ◽  
Johannes Hewig ◽  
John J. B. Allen
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Degrees Of Freedom ◽  
Automated Analysis ◽  
Eeg Analysis ◽  
Automated Method ◽  
Replication Crisis ◽  
Complete Procedure ◽  
Automated Pipeline ◽  
Selection Of

BackgroundSince the replication crisis, standardization has become even more important in psychological science and neuroscience. As a result, many methods are being reconsidered, and researchers’ degrees of freedom in these methods are being discussed as a potential source of inconsistencies across studies.New MethodWith the aim of addressing these subjectivity issues, we have been working on a tutorial-like EEG (pre-)processing pipeline to achieve an automated method based on the semi-automated analysis proposed by Delorme and Makeig.ResultsTwo scripts are presented and explained step-by-step to perform basic, informed ERP and frequency-domain analyses, including data export to statistical programs and visual representations of the data. The open-source software EEGlab in MATLAB is used as the data handling platform, but scripts based on code provided by Mike Cohen (2014) are also included.Comparison with existing methodsThis accompanying tutorial-like article explains and shows how the processing of our automated pipeline affects the data and addresses, especially beginners in EEG-analysis, as other (pre)-processing chains are mostly targeting rather informed users in specialized areas or only parts of a complete procedure. In this context, we compared our pipeline with a selection of existing approaches.ConclusionThe need for standardization and replication is evident, yet it is equally important to control the plausibility of the suggested solution by data exploration. Here, we provide the community with a tool to enhance the understanding and capability of EEG-analysis. We aim to contribute to comprehensive and reliable analyses for neuro-scientific research.

scholarly journals Does Selection of Open Source Cloud Computing Platforms is a Confusing Task?

2020 ◽  
Vol 9 (1) ◽  
pp. 829-833
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Open Source ◽  
Open Source Software ◽  
Hybrid Cloud ◽  
Cloud Platform ◽  
Private Cloud ◽  
Cloud Management ◽  
Computing Platforms ◽  
Selection Of

Over the last few years the majority of small and large companies moving to cloud computing to develop IT solutions for businesses. It is technology which provides distributed and dynamically shared computing resources using certain operating techniques. In the revolution of information technology, cloud computing is becoming a key paradigm. Cloud computing further classified as Public, Private and Hybrid Cloud. It provides three services which are categorized as Infrastructure-as-Service, Platform-as-Service and Software-as-Service. Open source cloud management platforms providing Infrastructure-as-a-service are now commonly used because of the fastest growth of cloud. Many open source softwares are available for deploying public or private cloud. This paper provides a brief review and comparison of five well-known open source cloud software i.e. OpenNebula, Eucalyptus, OpenStack, Nimbus and CloudStack providing IaaS on the basis of their similar features and technology used. After reviewing the importance and features, we have found OpenStack Cloud Platform is more reliable and useful for the enterprises and organization because of its feature and rapid improvements in its features. The distinction in this paper is believed to help people to choose the suitable open source software according to their need.

scholarly journals Review on Quality Models for Open Source Software and its reflection on Social Coding

2018 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Ragia Abo ElFadl ◽  
Akram Salah ◽  
Amr Kamel
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Social Factors ◽  
Selection Criteria ◽  
Success Factors ◽  
Quality Models ◽  
Media Services ◽  
Specific Project ◽  
Selection Of

Social Coding Sites (SCSs) are social media services for sharing software development projects on the Web, many open source projects are currently being developed on SCSs. Assessing the quality is a crucial element for better selection of a specific project serving people requirements or needs. In this paper, we reviewed existing traditional models which evolved prior the evolution of open source software as well as open source quality models. We evaluated the selected models according to their reflection with respect to social coding project success factors: sociality, popularity, activity and supportability. Eight models were included in our research as we only selected models that introduces explicit metrics well defined for measuring, neither a process nor a generic methodology.  Based on our selection criteria, a summary of the findings we obtained is that existing models doesn’t fully consider or cover social factors for open source software evaluation hence there is a need for a model to measure the maturity / quality of open source projects from social factors perspective. We have also evaluated the existing models against a selected open source project hosted on social coding GitHub to assess each model applicability. Some of the measurements from the existing models were not applicable for evaluation.

scholarly journals Open Source Software Survivability Prediction Using Multi Layer Perceptron

10.29007/cmc6 ◽  
2019 ◽  
Author(s):  
Vijaya Kumar Eluri ◽  
Shahram Sarkani ◽  
Thomas Mazzuchi
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Open Source ◽  
Open Source Software ◽  
Software Systems ◽  
Multi Layer Perceptron ◽  
Active Components ◽  
Objective Criterion ◽  
Develop Software ◽  
Selection Of

Many organizations develop software systems using Open Source Software (OSS) components. OSS components have a high risk of going out of support, making dependency on OSS components risky. So, it is imperative to perform risk assessment during the selection of OSS components. A model that can predict OSS survivability provides an objective criterion for such an assessment. Currently, there are no simple, quick and easy methods to predict survivability of OSS components. In this paper, we build a simple Multi Layer Perceptron (MLP) to predict OSS survivability. We performed experiments on 449 OSS components containing 215 active components and 234 inactive components collected from GitHub. The evaluation results show MLP achieves 81.44% validation accuracy for survivability prediction on GithHub dataset.

scholarly journals Evaluation of open-source software for the lung segmentation

2016 ◽  
Vol 2 (1) ◽  
pp. 515-518 ◽  
Author(s):  
Aseel Alnaser ◽  
Bo Gong ◽  
Knut Moeller
Keyword(s):  
Image Quality ◽  
Open Source ◽  
Open Source Software ◽  
Scoring System ◽  
Preliminary Evaluation ◽  
Specific Interest ◽  
Lung Segmentation ◽  
Overall Performance ◽  
Selection Of

AbstractIn this study we evaluated open-source software for lung segmentation. Several parameters which emphasize on functionality, usability, image quality and 3D export are considered for this evaluation. Based on these parameters, a scoring system is generated. Our preliminary evaluation results indicated that the Pulmonary toolkit obtains the best overall performance according to the scoring system. However, the ranking of software shows a certain variation among different criteria. The selection of software should regard the focus and the specific interest of the user.

scholarly journals Prompt system redesign: Shifting to open source technology to satisfy user requirements

2010 ◽  
Vol 7 (3) ◽  
pp. 441-457 ◽  
Author(s):  
Igor Svetel ◽  
Aleksandar Djurovic ◽  
Vencislav Grabulov
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Development Process ◽  
System Development ◽  
User Needs ◽  
User Requirements ◽  
Software System ◽  
Short Period ◽  
Sustainable System ◽  
Selection Of

The paper describes a redesign project undertaken in a short period to adapt a software system to user needs. Additional goals of the project included a shift to Open Source software and the selection of technology to enable sustainable system development. The paper chronologically describes all phases of the project and provides reasons for all decisions taken during the development process. The paper concludes with a discussion of the merits of the redesign methodology.

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