A Study on Development of BIM-based Collaboration Support Tool using Open Source

2020 ◽  
Vol 38 (4) ◽  
pp. 153-164
Author(s):  
kyoung Jun Park ◽  
Jong Ho Ock
Keyword(s):  
Open Source ◽  
Support Tool ◽  
Collaboration Support

Geographic Information System for Pigweed Distribution in the US Southeast

2018 ◽  
Vol 32 (1) ◽  
pp. 20-26 ◽  
Author(s):  
Reginald S. Fletcher ◽  
Krishna N. Reddy
Keyword(s):  
United States ◽  
Open Source ◽  
Open Source Software ◽  
Precision Agriculture ◽  
Weed Management ◽  
Southeastern United States ◽  
Management Strategies ◽  
Geographic Information ◽  
County Level ◽  
Support Tool

AbstractIn the southeastern United States, Amaranthus, or pigweed species, have become troublesome weeds in agricultural systems. To implement management strategies for the control of these species, agriculturalists need information on areas affected by pigweeds. Geographic information systems (GIS) afford users the ability to evaluate agricultural issues at local, county, state, national, and global levels. Also, they allow users to combine different layers of geographic information to help them develop strategic plans to solve problems. Furthermore, there is a growing interest in testing free and open-source GIS software for weed surveys. In this study, the free and open-source software QGIS was used to develop a geographic information database showing the distribution of pigweeds at the county level in the southeastern United States. The maps focused on the following pigweeds: Palmer amaranth, redroot pigweed, and tall waterhemp. Cultivated areas and glyphosate-resistant (GR) pigweed data were added to the GIS database. Database queries were used to demonstrate applications of the GIS for precision agriculture applications at the county level, such as tallying the number of counties affected by the pigweeds, identifying counties reporting GR pigweed, and identifying cultivated areas located in counties with GR pigweeds. This research demonstrated that free and open-source software such as QGIS has strong potential as a decision support tool, with implications for precision weed management at the county scale.

Tool Assisted Analysis of Open Source Projects

2011 ◽  
Vol 3 (2) ◽  
pp. 43-78 ◽  
Author(s):  
M.M. Mahbubul Syeed ◽  
Timo Aaltonen ◽  
Imed Hammouda ◽  
Tarja Systä
Keyword(s):  
Cloud Computing ◽  
Open Source ◽  
Open Source Software ◽  
Community Structures ◽  
Support Tool ◽  
Bug Fixing ◽  
Code Base ◽  
Formal Definitions ◽  
Assisted Analysis ◽  
Query Operations

Open Source Software (OSS) is currently a widely adopted approach to developing and distributing software. OSS code adoption requires an understanding of the structure of the code base. For a deeper understanding of the maintenance, bug fixing and development activities, the structure of the developer community also needs to be understood, especially the relations between the code and community structures. This, in turn, is essential for the development and maintenance of software containing OSS code. This paper proposes a method and support tool for exploring the relations of the code base and community structures of OSS projects. The method and proposed tool, Binoculars, rely on generic and reusable query operations, formal definitions of which are given in the paper. The authors demonstrate the applicability of Binoculars with two examples. The authors analyze a well-known and active open source project, FFMpeg, and the open source version of the IaaS cloud computing project Eucalyptus.

scholarly journals GeoFIS: An Open Source, Decision-Support Tool for Precision Agriculture Data

Agriculture ◽  
2018 ◽  
Vol 8 (6) ◽  
pp. 73 ◽  
Author(s):  
Corentin Leroux ◽  
Hazaël Jones ◽  
Léo Pichon ◽  
Serge Guillaume ◽  
Julien Lamour ◽  
...  
Keyword(s):  
Decision Support ◽  
Open Source ◽  
Precision Agriculture ◽  
Decision Support Tool ◽  
Support Tool

Integrating awareness mechanisms in web-based argumentative collaboration support environments

2010 ◽  
pp. 327-340
Author(s):  
Manolis Tzagarakis ◽  
Nikos Karousos ◽  
Nikos Karacapilidis
Keyword(s):  
Web Based ◽  
Support Tool ◽  
Data Intensive ◽  
Dynamic Web ◽  
Computer Based ◽  
Collaboration Support

Much research has been performed on how computer-based technologies might facilitate awareness among cooperating actors. However, existing approaches in providing awareness services prove to be inadequate in data-intensive instances of argumentative collaboration. Moreover, they fail to address the needs of dynamic, web-based communities. In this context, this chapter presents a list of awareness mechanisms that have been integrated in an innovative web-based collaboration support tool, namely CoPe_it!, the ultimate aim being to satisfy the requirements associated to the above remarks. The proposed mechanisms are described and elaborated with respect to various awareness types reported in the literature.

scholarly journals Creating an Open-Source Augmented Reality Remote Support Tool for Industry: Challenges and Learnings

2021 ◽  
Vol 180 ◽  
pp. 269-279
Author(s):  
Andrea Aschauer ◽  
Irene Reisner-Kollmann ◽  
Josef Wolfartsberger
Keyword(s):  
Augmented Reality ◽  
Open Source ◽  
Support Tool

scholarly journals FARMs: A Geospatial Crop Modeling and Agricultural Water Management System

2021 ◽  
Vol 10 (8) ◽  
pp. 553
Author(s):  
Jae Sung Kim ◽  
Isaya Kisekka
Keyword(s):  
Decision Support ◽  
Open Source ◽  
Management System ◽  
Decision Support Tool ◽  
Global Scale ◽  
Complex Model ◽  
Crop Modeling ◽  
Web Based ◽  
Support Tool ◽  
Gis Technologies

To ensure agricultural sustainability and desirable environmental outcomes, stakeholders need systems-based model-driven decision support tools. The objective of this study was to develop a global scale web-based geospatial crop modeling application called Food, Agriculture, and Resource Management system (FARMs), to simplify the application of the crop simulation model —Decision Support System for Agrotechnology Transfer (DSSAT) without requiring users to create input weather, climate, and soil files. FARMs was built based on open source Geographic Information System (GIS) technologies and DSSAT to allow for adaptive management through its ability to perform in-season yield predictions for alfalfa and maize, currently. Validation of FARMs against variety trial data in California was acceptable between measured and simulated yields for alfalfa. The work done in this study showed how a complex model like DSSAT can be translated into a useable web-based decision support tool for near-real-time simulation with the help of open-source GIS technologies.

scholarly journals Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts

2020 ◽  
Vol 5 ◽  
pp. 112 ◽  
Author(s):  
Sam Abbott ◽  
Joel Hellewell ◽  
Robin N. Thompson ◽  
Katharine Sherratt ◽  
Hamish P. Gibbs ◽  
...  
Keyword(s):  
Open Source ◽  
Reproduction Number ◽  
Virus Transmission ◽  
Decision Support Tool ◽  
R Package ◽  
Temporal Variations ◽  
Support Tool ◽  
Modelling Framework ◽  
Novel Coronavirus ◽  
The Impact

Background: Interventions are now in place worldwide to reduce transmission of the novel coronavirus. Assessing temporal variations in transmission in different countries is essential for evaluating the effectiveness of public health interventions and the impact of changes in policy. Methods: We use case notification data to generate daily estimates of the time-dependent reproduction number in different regions and countries. Our modelling framework, based on open source tooling, accounts for reporting delays, so that temporal variations in reproduction number estimates can be compared directly with the times at which interventions are implemented. Results: We provide three example uses of our framework. First, we demonstrate how the toolset displays temporal changes in the reproduction number. Second, we show how the framework can be used to reconstruct case counts by date of infection from case counts by date of notification, as well as to estimate the reproduction number. Third, we show how maps can be generated to clearly show if case numbers are likely to decrease or increase in different regions. Results are shown for regions and countries worldwide on our website (https://epiforecasts.io/covid/) and are updated daily. Our tooling is provided as an open-source R package to allow replication by others. Conclusions: This decision-support tool can be used to assess changes in virus transmission in different regions and countries worldwide. This allows policymakers to assess the effectiveness of current interventions, and will be useful for inferring whether or not transmission will increase when interventions are lifted. As well as providing daily updates on our website, we also provide adaptable computing code so that our approach can be used directly by researchers and policymakers on confidential datasets. We hope that our tool will be used to support decisions in countries worldwide throughout the ongoing COVID-19 pandemic.

scholarly journals Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts

2020 ◽  
Vol 5 ◽  
pp. 112 ◽  
Author(s):  
Sam Abbott ◽  
Joel Hellewell ◽  
Robin N. Thompson ◽  
Katharine Sherratt ◽  
Hamish P. Gibbs ◽  
...  
Keyword(s):  
Public Health ◽  
Open Source ◽  
Reproduction Number ◽  
Virus Transmission ◽  
Decision Support Tool ◽  
Temporal Variations ◽  
Time Varying ◽  
Support Tool ◽  
Modelling Framework ◽  
The Impact

Background: Assessing temporal variations in transmission in different countries is essential for monitoring the epidemic, evaluating the effectiveness of public health interventions and estimating the impact of changes in policy. Methods: We use case and death notification data to generate daily estimates of the time-varying reproduction number globally, regionally, nationally, and subnationally over a 12-week rolling window. Our modelling framework, based on open source tooling, accounts for uncertainty in reporting delays, so that the reproduction number is estimated based on underlying latent infections. Results: Estimates of the reproduction number, trajectories of infections, and forecasts are displayed on a dedicated website as both maps and time series, and made available to download in tabular form. Conclusions:  This decision-support tool can be used to assess changes in virus transmission both globally, regionally, nationally, and subnationally. This allows public health officials and policymakers to track the progress of the outbreak in near real-time using an epidemiologically valid measure. As well as providing regular updates on our website, we also provide an open source tool-set so that our approach can be used directly by researchers and policymakers on confidential data-sets. We hope that our tool will be used to support decisions in countries worldwide throughout the ongoing COVID-19 pandemic.

Awareness Mechanisms for Web-Based Argumentative Collaboration

2010 ◽  
pp. 715-726
Author(s):  
Manolis Tzagarakis ◽  
Nikos Karousos ◽  
Nikos Karacapilidis
Keyword(s):  
Web Based ◽  
Support Tool ◽  
Data Intensive ◽  
Dynamic Web ◽  
Computer Based ◽  
Collaboration Support

Much research has been performed on how computer-based technologies might facilitate awareness among cooperating actors. However, existing approaches in providing awareness services prove to be inadequate in data-intensive instances of argumentative collaboration. Moreover, they fail to address the needs of dynamic, Web-based communities. In this context, this article presents a list of awareness mechanisms that have been integrated in an innovative Web-based collaboration support tool, where the ultimate aim is to satisfy the requirements associated with the above remarks. The proposed mechanisms are described and elaborated with respect to variousawareness types reported in the literature.

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