scholarly journals Mapillary based plant distributions of ethnobotanical afforestation.

2019 ◽  
Author(s):  
Anil Kumar Bheemaiah
Keyword(s):  
Deep Learning ◽  
Medicinal Plants ◽  
Open Source ◽  
Source Code ◽  
Semantic Segmentation ◽  
Edible Plants ◽  
Open Source Code ◽  
Scientific Images ◽  
Medicinal Value ◽  
Code Base

Abstract:Mapillary is an open-source code base for the use of GPU based Deep Learning for Semantic Segmentation of wild images. We propose the creation of an autonomous drone for the automated capture of scientific images of medicinal and edible plants to create geotagged maps of plants on Mapillary.com with additional tags on plant sizes, species, and edible and medicinal value. This information is used in the planning of sponsored five or more level afforestation as social and academic forestry for edible and medicinal value. The same research is also useful in planning afforestation on Mars. Keywords: Miyawakis, Mapillary, Seamless Segmentation, FPN, ResNet50, Redtail, Edible and Medicinal Plants, Geotag

scholarly journals Mapillary based plant distributions of ethnobotanical afforestation.

2019 ◽  
Author(s):  
Anil Kumar Bheemaiah
Keyword(s):  
Deep Learning ◽  
Medicinal Plants ◽  
Open Source ◽  
Source Code ◽  
Semantic Segmentation ◽  
Edible Plants ◽  
Open Source Code ◽  
Scientific Images ◽  
Medicinal Value ◽  
Code Base

Abstract:Mapillary is an open-source code base for the use of GPU based Deep Learning for Semantic Segmentation of wild images. We propose the creation of an autonomous drone for the automated capture of scientific images of medicinal and edible plants to create geotagged maps of plants on Mapillary.com with additional tags on plant sizes, species, and edible and medicinal value. This information is used in the planning of sponsored five or more level afforestation as social and academic forestry for edible and medicinal value. The same research is also useful in planning afforestation on Mars.Keywords: Miyawakis, Mapillary, Seamless Segmentation, FPN, ResNet50, Redtail, Edible and Medicinal Plants, Geotag

scholarly journals OpenOA: An Open-Source Code Base for Operational Analysis of Wind Power Plants

2019 ◽  
Author(s):  
Mike Optis ◽  
Jordan Perr-Sauer ◽  
Caleb Philips ◽  
Anna E. Craig ◽  
Joseph C. Y. Lee ◽  
...  
Keyword(s):  
Best Practices ◽  
Wind Energy ◽  
Open Source ◽  
Wind Power ◽  
Power Plants ◽  
Source Code ◽  
Open Source Code ◽  
Wind Power Plants ◽  
Code Base ◽  
Energy Community

Abstract. As global wind capacity continues to grow, the need for accurate operational analyses of a rapidly growing fleet of wind power plants has increased in proportion. The wind energy industry at present, however, is not ideally positioned to address this need. First, there is a lack of best practices and limited published standards for performing operational analyses. Second, operational data and methods are typically proprietary and not shared among the wind energy community. Consequently, there is considerable duplication of effort in developing methods as well as uncertainty in the calculated metrics. To address these problems, the National Renewable Energy Laboratory has publicly released OpenOA, an open-source code base for performing operational analyses on wind plant data. The intent of OpenOA is to provide a framework in which best practices can be developed, refined, and disseminated. Ultimately, such collaboration is expected to lead to a working example (i.e. reference implementation) of methods from which a published standard may develop. This article provides an overview of OpenOA, highlighting its release as a public repository, modular software architecture, current functionality, and planned functionality in subsequent releases. It is our goal for OpenOA to evolve into an indispensable tool for performing operational analyses that is used and supported by a large community of wind energy experts.

scholarly journals Vetting Anti-patterns in Java to Kotlin Translation

10.29007/cgwr ◽  
2019 ◽  
Author(s):  
Chaney Courtney ◽  
Mitchell Neilsen
Keyword(s):  
Open Source ◽  
Source Code ◽  
Flow Analysis ◽  
Pattern Detection ◽  
Data Flow Analysis ◽  
Open Source Code ◽  
Code Base ◽  
Base Size ◽  
Java Code ◽  
Main Language

With Kotlin becoming a viable language replacement for Java, there is a need for translators and data flow analysis libraries to create maintainable and readable source code. Instagram, Uber, and Gradle are only a few of the large corporations that have either switched from Java to Kotlin completely or started to use it in internal tools in order to reduce code base size. Developers have claimed that Kotlin is fun to use in comparison to Java and much of the boilerplate code is reduced. With Java being the main language for the open source organization, PhenoApps, there is a need to support both Java and Kotlin to increase the maintainability of the code. Fortunately, JetBrains has an open-source IDE plugin for translating Java to Kotlin; however, the translation has some fundamental issues which shall be discussed further in this paper. Introducing, j2k, a CLI translation tool which includes various anti-pattern detection for syntactical formatting, performance, and other Android requirements. The new tool introduced within this paper, j2kCLI allows users to directly translate strings of Java code to Kotlin, or entire directories. This facilitates the maintainability of a large open source code base.

AN OPEN-SOURCE CODE FOR NUMERICAL SIMULATION OF DRAINAGE BASIN DEVELOPMENT

2017 ◽  
Author(s):  
George H. Shaw ◽  
◽  
Howard D. Mooers ◽  
Josef Smrz ◽  
Zdenek Papez ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Open Source ◽  
Drainage Basin ◽  
Source Code ◽  
Open Source Code ◽  
Basin Development

Po River Morphodynamics Modelled with the Open-source Code iRIC

2018 ◽  
pp. 335-346 ◽  
Author(s):  
Michael Nones ◽  
Alessio Pugliese ◽  
Alessio Domeneghetti ◽  
Massimo Guerrero
Keyword(s):  
Open Source ◽  
Source Code ◽  
Po River ◽  
Open Source Code

scholarly journals Blogging Beyond the PDF

2010 ◽  
Author(s):  
Martin Fenner
Keyword(s):  
Knowledge Sharing ◽  
Open Source ◽  
Scientific Knowledge ◽  
San Diego ◽  
Source Code ◽  
Open Source Code

Four weeks ago I wrote about the Beyond the PDF workshop that is planned for January in San Diego. The goal of the workshop is to identify a set of requirements, and a group of willing participants to develop open source code to accelerate scientific knowledge sharing. ...

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