scholarly journals Using Open Source Software in Developing a Web-accessible Database of Sweetpotato Germplasm Collections in Kenya

2007 ◽  
Vol 17 (4) ◽  
pp. 567-570
Author(s):  
Arthur Villordon ◽  
Wambui Njuguna ◽  
Simon Gichuki ◽  
Philip Ndolo ◽  
Don Labonte

Web-accessible germplasm databases allow stakeholders to interactively search and locate information in real time. These databases can also be configured to permit designated users to remotely add, delete, or update information. These resources assist in decision-making activities that are related to germplasm documentation, conservation, and management. We report the development of a web-accessible database of Kenyan sweetpotato (Ipomoea batatas) varieties using open source software. Kenya is located in eastern Africa, a region that is considered one of the centers of diversity for sweetpotato. We describe the software applications used in developing the germplasm database as well as the web interface for displaying and interactively searching records. This report demonstrates that open source software can be used in developing a web-enabled database with management features similar to those found in proprietary or commercial applications.

Author(s):  
D. Oxoli ◽  
H.-K. Kang ◽  
M. A. Brovelli

<p><strong>Abstract.</strong> The open and direct collaboration at the creation, improvement, and documentation of source code and software applications &amp;ndash; enabled by the web &amp;ndash; is recognized as a peculiarity of the Free and Open Source Software for Geospatial (FOSS4G) projects representing, at the same time, one of their main strengths. With this in mind, it turns out to be interesting to perform an extensive monitoring of both the evolution and the geographical arrangement of the developers’ communities in order to investigate their actual extension, evolution and degree of activity. In this work, a semi-automatic procedure to perform this particular analysis is described. The procedure is mainly based on the use of the GitHub Search Application Programming Interface by means of JavaScript custom modules to perform a census of the users registered with a collaborator role to the repositories of the most popular FOSS4G projects, hosted on the GitHub platform. The collected data is processed and analysed using Python and QGIS. The results &amp;ndash; presented through tables, charts, and thematic maps &amp;ndash; allow describing both dimensions as well as the geographical heterogeneity of the contributing community of each individual project, while enabling to identify the most active countries &amp;ndash; in terms of the number of contributors &amp;ndash; in the development of the most popular FOSS4G. The limits of the analysis, including technical constraints and considerations on the significance of the developers' census, are finally highlighted and discussed.</p>


2016 ◽  
Author(s):  
Jean-Michel Follin ◽  
Maïté Fahrasmane ◽  
Élisabeth Simonetto

More and more historical data are available on the web. In France, old cadastral maps are regularly published by the “départements”. Such material is relevant to various applications (on-the-field search of specific objects such as old boundary stakes, historical studies of demography, human activities, land cover…). The GeF laboratory is working on the development of a complete methodological toolchain to vectorise, correct and analyse cadastral parcels and their evolution, using open source software and programming language only (QGIS, GDAL, Python). This article details the use of a part of this toolchain - georeferencing old cadastral data - on parcels located near the Loir river, in two villages of southern Sarthe: Vaas and Aubigné-Racan. After a presentation of our methodological toolchain, we will discuss our first results.


2016 ◽  
Author(s):  
Jean-Michel Follin ◽  
Maïté Fahrasmane ◽  
Élisabeth Simonetto

More and more historical data are available on the web. In France, old cadastral maps are regularly published by the “départements”. Such material is relevant to various applications (on-the-field search of specific objects such as old boundary stakes, historical studies of demography, human activities, land cover…). The GeF laboratory is working on the development of a complete methodological toolchain to vectorise, correct and analyse cadastral parcels and their evolution, using open source software and programming language only (QGIS, GDAL, Python). This article details the use of a part of this toolchain - georeferencing old cadastral data - on parcels located near the Loir river, in two villages of southern Sarthe: Vaas and Aubigné-Racan. After a presentation of our methodological toolchain, we will discuss our first results.


2016 ◽  
Author(s):  
Jean-Michel Follin ◽  
Maïté Fahrasmane ◽  
Élisabeth Simonetto

More and more historical data are available on the web. In France, old cadastral maps are regularly published by the “départements”. Such material is relevant to various applications (on-the-field search of specific objects such as old boundary stakes, historical studies of demography, human activities, land cover…). The GeF laboratory is working on the development of a complete methodological toolchain to vectorise, correct and analyse cadastral parcels and their evolution, using open source software and programming language only (QGIS, GDAL, Python). This article details the use of a part of this toolchain - georeferencing old cadastral data - on parcels located near the Loir river, in two villages of southern Sarthe: Vaas and Aubigné-Racan. After a presentation of our methodological toolchain, we will discuss our first results.


2009 ◽  
pp. 603-619
Author(s):  
Walt Scacchi

This study examines the development of open source software supporting e-commerce (EC) or e-business (EB) capabilities. This entails a case study within a virtual organization engaged in an organizational initiative to develop, deploy, and support free/open source software systems for EC or EB services, like those supporting enterprise resource planning. The objective of this study is to identify and characterize the resource-based software product development capabilities that lie at the center of the initiative, rather than the software itself, or the effectiveness of its operation in a business enterprise. By learning what these resources are, and how they are arrayed into product development capabilities, we can provide the knowledge needed to understand what resources are required to realize the potential of free EC and EB software applications. In addition, the resource-based view draws attention to those resources and capabilities that provide potential competitive advantages and disadvantages to the organization in focus.


Author(s):  
Tobias Haug ◽  
Sarah Ebling

This study reports on the use of an open-source software for sign language learning and (self-)assessment. A Yes/No vocabulary size test for Swiss German Sign Language (Deutschschweizerische Gebärdensprache, DSGS) was developed, targeting beginning adult learners. The Web-based test, which can be used for self-assessment or placement purposes, was administered to 20 DSGS adult learners of ages 24 to 55 (M = 39.3). The learners filled out a background questionnaire, took the Yes/No test tests, and filled out a feedback questionnaire. The comments provided by the learners about the suitability of the Web-based DSGS vocabulary self-assessment instrument provided concrete feedback towards improvement of the system.


2006 ◽  
Vol 11 (3-4) ◽  
pp. 127-132 ◽  
Author(s):  
Werner J. Geldenhuys ◽  
Kevin E. Gaasch ◽  
Mark Watson ◽  
David D. Allen ◽  
Cornelis J. Van der Schyf

Software maintainability is a vital quality aspect as per ISO standards. This has been a concern since decades and even today, it is of top priority. At present, majority of the software applications, particularly open source software are being developed using Object-Oriented methodologies. Researchers in the earlier past have used statistical techniques on metric data extracted from software to evaluate maintainability. Recently, machine learning models and algorithms are also being used in a majority of research works to predict maintainability. In this research, we performed an empirical case study on an open source software jfreechart by applying machine learning algorithms. The objective was to study the relationships between certain metrics and maintainability.


Author(s):  
S. Logothetis ◽  
E. Karachaliou ◽  
E. Valari ◽  
E. Stylianidis

This paper presents a Cloud-based open source system for storing and processing data from a 3D survey approach. More specifically, we provide an online service for viewing, storing and analysing BIM. Cloud technologies were used to develop a web interface as a BIM data centre, which can handle large BIM data using a server. The server can be accessed by many users through various electronic devices anytime and anywhere so they can view online 3D models using browsers. Nowadays, the Cloud computing is engaged progressively in facilitating BIM-based collaboration between the multiple stakeholders and disciplinary groups for complicated Architectural, Engineering and Construction (AEC) projects. Besides, the development of Open Source Software (OSS) has been rapidly growing and their use tends to be united. Although BIM and Cloud technologies are extensively known and used, there is a lack of integrated open source Cloud-based platforms able to support all stages of BIM processes. The present research aims to create an open source Cloud-based BIM system that is able to handle geospatial data. In this effort, only open source tools will be used; from the starting point of creating the 3D model with FreeCAD to its online presentation through BIMserver. Python plug-ins will be developed to link the two software which will be distributed and freely available to a large community of professional for their use. The research work will be completed by benchmarking four Cloud-based BIM systems: Autodesk BIM 360, BIMserver, Graphisoft BIMcloud and Onuma System, which present remarkable results.


2016 ◽  
Author(s):  
Matthew Mccormick ◽  
Stephen Aylward ◽  
Hans Johnson ◽  
Bradley Lowekamp

The Insight Segmentation and Registration Toolkit (www.itk.org) has become a standard in academia and industry for medical image analysis. In recent years, the ITK developers’ community has focused on providing programming interfaces to ITK from Python, Java, and Javascript and making ITK available via leading applications such as Slicer and ImageJ. In this course we present best practices for taking advantage of ITK in your imaging research and commercial products. We demonstrate how script writing and interactive GUIs can be used to access the algorithms in ITK and the multitude of ITK extensions that are freely available on the web. We also cover the opportunities and challenges with using open-source software in research and in commercial applications: from prototypes that can lead to venture capital funding to applications for first-in-human trials and ultimately for regulatory approval.


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