scholarly journals Identification of potential structural coherence based on the ceramic material from provincial necropolis II at Ancient Gerulata (SR) using quantitative analyses

2021 ◽  
pp. 91-104
Author(s):  
Alina Szabová ◽  
Zuzana Porubčanová
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
3D Models ◽  
Volume Calculation ◽  
Archaeological Material ◽  
Ceramic Vessels ◽  
Structural Coherence ◽  
Quantitative Analyses ◽  
Data Source ◽  
The Individual

The ceramic vessels from necropolis No. II were redocumented during the ongoing revision of archaeological material from cemeteries belonging to the Roman military fort with civil hinterland – Gerulata. This necropolis contains the highest informative value for both archaeological and anthropological material. Therefore, for the needs of this study, a set of pottery was chosen from that particular site, which consisted of approximately 120 complete various-shaped artefacts to be used for volume calculation. The vessels primarily served for offerings but were also partly used as urns. Drawing and photo documentation was used to create 3D models of the individual artefacts. These visualisations were a data source for the quantitative measurement of the volume variations. Models and volume calculations were created in Blender open-source software before identifying a correlation between vessel shape and volume and the graves in which they were found. The main subject of this research was to identify potential structural coherence within the funerary habits using the univariate statistical analysis produced in PAST 3 open-source software.

scholarly journals Knowledge sharing in open source software communities: motivations and management

2015 ◽  
Vol 19 (4) ◽  
pp. 791-813 ◽  
Author(s):  
Zilia Iskoujina ◽  
Joanne Roberts
Keyword(s):  
Knowledge Sharing ◽  
Open Source ◽  
Open Source Software ◽  
Online Communities ◽  
Descriptive Analysis ◽  
Online Questionnaire ◽  
Content Type ◽  
The Individual ◽  
The Impact

Purpose – This paper aims to add to the understanding of knowledge sharing in online communities through an investigation of the relationship between individual participant’s motivations and management in open source software (OSS) communities. Drawing on a review of literature concerning knowledge sharing in organisations, the factors that motivate participants to share their knowledge in OSS communities, and the management of such communities, it is hypothesised that the quality of management influences the extent to which the motivations of members actually result in knowledge sharing. Design/methodology/approach – To test the hypothesis, quantitative data were collected through an online questionnaire survey of OSS web developers with the aim of gathering respondents’ opinions concerning knowledge sharing, motivations to share knowledge and satisfaction with the management of OSS projects. Factor analysis, descriptive analysis, correlation analysis and regression analysis were used to explore the survey data. Findings – The analysis of the data reveals that the individual participant’s satisfaction with the management of an OSS project is an important factor influencing the extent of their personal contribution to a community. Originality/value – Little attention has been devoted to understanding the impact of management in OSS communities. Focused on OSS developers specialising in web development, the findings of this paper offer an important original contribution to understanding the connections between individual members’ satisfaction with management and their motivations to contribute to an OSS project. The findings reveal that motivations to share knowledge in online communities are influenced by the quality of management. Consequently, the findings suggest that appropriate management can enhance knowledge sharing in OSS projects and online communities, and organisations more generally.

scholarly journals Will You Come Back to Contribute? Investigating the Inactivity of OSS Core Developers in GitHub

2021 ◽  
Author(s):  
Fabio Calefato ◽  
Marco Aurelio Gerosa ◽  
Giuseppe Iaffaldano ◽  
Filippo Lanubile ◽  
Igor Fabio Steinmacher
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
State Transition ◽  
Active State ◽  
State Model ◽  
Novel Method ◽  
To Come ◽  
One Year ◽  
The Individual ◽  
To Receive

Abstract Several Open-Source Software (OSS) projects depend on the continuity of their development communities to remain sustainable. Understanding how developers become inactive or why they take breaks can help communities prevent abandonment and incentivize developers to come back. In this paper, we propose a novel method to identify developers’ inactive periods by analyzing the individual rhythm of contributions to the projects. Using this method, we quantitatively analyze the inactivity of core developers in 18 OSS organizations hosted on GitHub. We also survey core developers to receive their feedback about the identified breaks and transitions. Our results show that our method was effective for identifying developers’ breaks. About 94% of the surveyed core developers agreed with our state model of inactivity; 71% and 79% of them acknowledged their breaks and state transition, respectively. We also show that all core developers take breaks (at least once) and about a half of them (~ 45%) have completely disengaged from a project for at least one year. We also analyzed the probability of transitions to/from inactivity and found that developers who pause their activity have a ~ 35 to ~ 55% chance to return to an active state; yet, if the break lasts for a year or longer, then the probability of resuming activities drops to ~ 21–26%, with a ~ 54% chance of complete disengagement. These results may support the creation of policies and mechanisms to make OSS community managers aware of breaks and potential project abandonment.

scholarly journals OPEN SOURCE CLOUD-BASED TECHNOLOGIES FOR BIM

2018 ◽  
Vol XLII-2 ◽  
pp. 607-614 ◽  
Author(s):  
S. Logothetis ◽  
E. Karachaliou ◽  
E. Valari ◽  
E. Stylianidis
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Research Work ◽  
3D Models ◽  
Web Interface ◽  
Multiple Stakeholders ◽  
Architectural Engineering ◽  
Starting Point ◽  
Cloud Technologies ◽  
Survey Approach

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.

scholarly journals FROM OSS CAD TO BIM FOR CULTURAL HERITAGE DIGITAL REPRESENTATION

2017 ◽  
Vol XLII-2/W3 ◽  
pp. 439-445 ◽  
Author(s):  
S. Logothetis ◽  
E. Karachaliou ◽  
E. Stylianidis
Keyword(s):  
Cultural Heritage ◽  
Open Source ◽  
Open Source Software ◽  
Computer Aided Design ◽  
3D Models ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Digital Representations ◽  
Building Information ◽  
Aided Design

The paper illustrates the use of open source Computer-aided design (CAD) environments in order to develop Building Information Modelling (BIM) tools able to manage 3D models in the field of cultural heritage. Nowadays, the development of Free and Open Source Software (FOSS) has been rapidly growing and their use tends to be consolidated. Although BIM technology is widely known and used, there is a lack of integrated open source platforms able to support all stages of Historic Building Information Modelling (HBIM) processes. The present research aims to use a FOSS CAD environment in order to develop BIM plug-ins which will be able to import and edit digital representations of cultural heritage models derived by photogrammetric methods.

Open Source Software Development Challenges

2021 ◽  
pp. 33-62
Author(s):  
Abdulkadir Seker ◽  
Banu Diri ◽  
Halil Arslan ◽  
Mehmet Fatih Amasyalı
Keyword(s):  
Literature Review ◽  
Software Development ◽  
Open Source ◽  
Systematic Literature Review ◽  
Open Source Software ◽  
Digital Libraries ◽  
Common Code ◽  
Wide Range ◽  
Data Source ◽  
Source Study

GitHub is the most common code hosting and repository service for open-source software (OSS) projects. Thanks to the great variety of features, researchers benefit from GitHub to solve a wide range of OSS development challenges. In this context, the authors thought that was important to conduct a literature review on studies that used GitHub data. To reach these studies, they conducted this literature review based on a GitHub dataset source study instead of a keyword-based search in digital libraries. Since GHTorrent is the most widely known GitHub dataset according to the literature, they considered the studies that cite this dataset for the systematic literature review. In this study, they reviewed the selected 172 studies according to some criteria that used the dataset as a data source. They classified them within the scope of OSS development challenges thanks to the information they extract from the metadata of studies. They put forward some issues about the dataset and they offered the focused and attention-grabbing fields and open challenges that we encourage the researchers to study on them.

scholarly journals GENERATING ACCURATE 3D MODELS OF ARCHITECTURAL HERITAGE STRUCTURES USING LOW-COST CAMERA AND OPEN SOURCE ALGORITHMS

2017 ◽  
Vol XLII-5/W1 ◽  
pp. 99-104
Author(s):  
M. Zacharek ◽  
P. Delis ◽  
M. Kedzierski ◽  
A. Fryskowska
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Web Application ◽  
Low Cost ◽  
Digital Camera ◽  
Point Clouds ◽  
3D Models ◽  
Dense Image ◽  
Dense Point ◽  
Historical Heritage

These studies have been conductedusing non-metric digital camera and dense image matching algorithms, as non-contact methods of creating monuments documentation.In order toprocess the imagery, few open-source software and algorithms of generating adense point cloud from images have been executed. In the research, the OSM Bundler, VisualSFM software, and web application ARC3D were used. Images obtained for each of the investigated objects were processed using those applications, and then dense point clouds and textured 3D models were created. As a result of post-processing, obtained models were filtered and scaled.The research showedthat even using the open-source software it is possible toobtain accurate 3D models of structures (with an accuracy of a few centimeters), but for the purpose of documentation and conservation of cultural and historical heritage, such accuracy can be insufficient.

scholarly journals Automatic vectorization of rectangular manmade objects: a case study applying OpenCV and GDAL on UAV imagery

2021 ◽  
Vol 4 ◽  
pp. 1-5
Author(s):  
Márton Pál ◽  
Fanni Vörös ◽  
Béla Kovács
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Large Scale ◽  
Computing Time ◽  
Soil Condition ◽  
3D Models ◽  
Environmental Mapping ◽  
High Resolution Images ◽  
Uav Images

Abstract. UAV imagery has a big role in environmental mapping: various indices regarding plant health, soil condition or geological objects can be determined, or 3D models can be built for accurate measurements. Automatic vectorization of satellite images is widely applied nowadays for land coverage determination purposes. However, larger resolution UAV images are hard to process following this theory: too many details result in a long computing time. We propose a FOSS (free and open-source software) analytical solution for detecting and vectorizing quasi-rectangular shaped (mainly manmade) objects on relatively high-resolution images. Our sample area is the cemetery and its surroundings in Istenmezeje, Heves County, Hungary. The graves are good examples of regular, rectangular manmade objects. The traditional cadastral mapping of these sites means a large amount of digitizing work. We have used Python environment for conducting image analysis: delineating and vectorizing the grave outlines for the large-scale mapping of the cemetery. Open-source programming libraries were used during the process: OpenCV and GDAL/OGR. With these tools, we were able to digitize the graves automatically with systematic errors. Approximately 70–80 of 100 graves were correctly recognised (their number varies depending on the adjustable variables: the size and detailedness of the contours to be detected). Our approach is a relatively new methodology in large-scale cartography: computer vision tools have not been used widely for mapmaking purposes. The development of artificial intelligence and open-source tools connected to it may contribute to the broader dissemination of similar methodologies in cartography and GIS.

scholarly journals THE USE OF THE UAV IMAGES FOR THE BUILDING 3D MODEL GENERATION

2018 ◽  
Vol XLII-4/W8 ◽  
pp. 217-223 ◽  
Author(s):  
G. Vacca ◽  
G. Furfaro ◽  
A. Dessì
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
3D Model ◽  
Low Cost ◽  
Laser Scanner ◽  
3D Models ◽  
Digital Cameras ◽  
Dense Matching ◽  
Uav Images ◽  
The University

<p><strong>Abstract.</strong> The growing interest in recent years in Unmanned Aerial Vehicles (UAVs) by the scientific community, software developers, and geomatics professionals, has led these systems to be used more and more widely, in different fields of engineering and architecture. This is thanks, above all, to their flexibility of use and low cost compared to traditional photogrammetric flights using expensive metric digital cameras or LiDAR sensors. In recent years, UAVs have also been used in the field of monitoring and inspection of public or private buildings that are remarkable in terms of size and architecture. This is mainly due to the focus a sustainability and resource efficiency in the building and infrastructure sector, which aims to extend their lifetimes. Through the use of remote checking using UAVs, the monitoring and inspection of buildings can be brought to a new level of quality and saving.</p><p> This paper focuses on the processing and study of 3D models obtained from images captured by an UAV. In particular, the authors wanted to study the accuracy gains achieved in the building 3D model obtained with both nadir and oblique UAV flights. The images from the flights were processed using Structure-for Motion-based approach for point cloud generation using dense image-matching algorithms implemented in an open source software. We used the open source software VisualSfM, developed by Chanchang Wu in collaboration with the University of Washington and Google. The dense matching plug-in integrated in its interface, PMVS/CMVS, made by Yasutaka Furukawa, was employed to generate the dense cloud. The achieved results were compare with those gained by Photoscan software by Agisoft and with 3D model from the Terrestrial Laser Scanner (TLS) survey.</p>

Open Source Software Development Challenges

2020 ◽  
Vol 11 (4) ◽  
pp. 1-26
Author(s):  
Abdulkadir Seker ◽  
Banu Diri ◽  
Halil Arslan ◽  
Mehmet Fatih Amasyalı
Keyword(s):  
Literature Review ◽  
Software Development ◽  
Open Source ◽  
Systematic Literature Review ◽  
Open Source Software ◽  
Digital Libraries ◽  
Common Code ◽  
Wide Range ◽  
Data Source ◽  
Source Study

GitHub is the most common code hosting and repository service for open-source software (OSS) projects. Thanks to the great variety of features, researchers benefit from GitHub to solve a wide range of OSS development challenges. In this context, the authors thought that was important to conduct a literature review on studies that used GitHub data. To reach these studies, they conducted this literature review based on a GitHub dataset source study instead of a keyword-based search in digital libraries. Since GHTorrent is the most widely known GitHub dataset according to the literature, they considered the studies that cite this dataset for the systematic literature review. In this study, they reviewed the selected 172 studies according to some criteria that used the dataset as a data source. They classified them within the scope of OSS development challenges thanks to the information they extract from the metadata of studies. They put forward some issues about the dataset and they offered the focused and attention-grabbing fields and open challenges that we encourage the researchers to study on them.

Sign in / Sign up

Export Citation Format

Share Document