Python Earth Engine API as a new open-source ecosphere for characterizing offshore hydrocarbon seeps and spills

2021 ◽  
Vol 40 (1) ◽  
pp. 35-44
Author(s):  
Whitney Trainor-Guitton ◽  
Leo Turon ◽  
Dominique Dubucq
Keyword(s):  
Open Source ◽  
Application Programming Interface ◽  
Google Earth ◽  
Hydrocarbon Detection ◽  
Detection Algorithms ◽  
Hydrocarbon Seeps ◽  
Oil Seeps ◽  
Application Programming ◽  
Calculated Probability ◽  
Programming Interface

The Python Earth Engine application programming interface (API) provides a new open-source ecosphere for testing hydrocarbon detection algorithms on large volumes of images curated with the Google Earth Engine. We specifically demonstrate the Python Earth Engine API by calculating three hydrocarbon indices: fluorescence, rotation absorption, and normalized fluorescence. The Python Earth Engine API provides an ideal environment for testing these indices with varied oil seeps and spills by (1) removing barriers of proprietary software formats and (2) providing an extensive library of data analysis tools (e.g., Pandas and Seaborn) and classification algorithms (e.g., Scikit-learn and TensorFlow). Our results demonstrate end-member cases in which fluorescence and normalized fluorescence indices of seawater and oil are statistically similar and different. As expected, predictive classification is more effective and the calculated probability of oil is more accurate for scenarios in which seawater and oil are well separated in the fluorescence space.

scholarly journals High-Fidelity Aerothermal Engineering Analysis for Planetary Probes Using DOTNET Framework and OLAP Cubes Database

2009 ◽  
Vol 2009 ◽  
pp. 1-21 ◽  
Author(s):  
Prabhakar Subrahmanyam
Keyword(s):  
User Interface ◽  
Application Programming Interface ◽  
Google Earth ◽  
Online Analytical Processing ◽  
Trajectory Data ◽  
Atmospheric Entry ◽  
Flight Vehicles ◽  
Application Programming ◽  
Analytical Processing ◽  
Programming Interface

This publication presents the architecture integration and implementation of various modules inSpartaframework.Spartais a trajectory engine that is hooked to an Online Analytical Processing (OLAP) database for Multi-dimensional analysis capability. OLAP is an Online Analytical Processing database that has a comprehensive list of atmospheric entry probes and their vehicle dimensions, trajectory data, aero-thermal data and material properties like Carbon, Silicon and Carbon-Phenolic based Ablators. An approach is presented for dynamic TPS design. OLAP has the capability to run in one simulation several different trajectory conditions and the output is stored back into the database and can be queried for appropriate trajectory type. An OLAP simulation can be setup by spawning individual threads to run for three types of trajectory:Nominal,Undershoot and Overshoot trajectory. Sparta graphical user interface provides capabilities to choose from a list of flight vehicles or enter trajectory and geometry information of a vehicle in design. DOTNET framework acts as a middleware layer between the trajectory engine and the user interface and also between the web user interface and the OLAP database. Trajectory output can be obtained in TecPlot format, Excel output or in a KML (Keyhole Markup Language) format. Framework employs an API (application programming interface) to convert trajectory data into a formatted KML file that is used by Google Earth for simulating Earth-entry fly-by visualizations.

scholarly journals Developing an interactive application embodied in the geosciences educational procedure

2017 ◽  
Vol 47 (2) ◽  
pp. 1031
Author(s):  
P. Tsangaratos ◽  
M. Perraki ◽  
I. Ilia
Keyword(s):  
Application Programming Interface ◽  
Google Earth ◽  
Educational Tools ◽  
Related Data ◽  
Primary And Secondary Education ◽  
Interactive Display ◽  
Information And Communication ◽  
Application Programming ◽  
Interactive Application ◽  
Programming Interface

The aim of this study is to develop a Geovisual Mineralogical Cognitive Tool (GeMiCo Tool), a digital application that utilizes techniques from the domain of Information and Communication Technology. The application is part of the educational tools used at the Mineralogical Museum of the School of Mining and Metallurgical Engineering, National Technical University of Athens and concerns students of Higher, Primary and Secondary Education. The learning tool developed here embodies Google Earth API (Application Programming Interface), allowing users to interactively display and investigate geological and mineralogical related data. By that, users are able to select and present thematic layers of information related to the geo-exhibits, to create queries and searches and to navigate in 3D environment. The application runs on a large format multi-touch interactive display in the Mineralogical Museum of NTUA that attracts audiences and engages them in interactive collaborative tasks.

scholarly journals Pengembangan Sistem Informasi Registrasi Mahasiswa Baru dengan Metode Analisis Gugus Kendali Mutu

2021 ◽  
Vol 10 (3) ◽  
pp. 191
Author(s):  
Santo Wijaya ◽  
Marta H.R.S.R. Sari ◽  
Adian Wihariono Putera
Keyword(s):  
Open Source ◽  
Application Programming Interface ◽  
Web Based ◽  
Application Programming ◽  
Programming Interface

Pendidikan sebagai industri produk dan jasa berbasis ilmu pengetahuan dan keterampilan menghadapi persaingan yang semakin kompetitif dengan banyaknya institusi baik dalam dan luar negeri yang operasional di Indonesia. Untuk meningkatkan daya saing, maka utilisasi teknologi informasi khususnya di era revolusi industri 4.0 menjadi kunci penting. Penelitian ini bertujuan untuk mengembangkan Sistem Informasi Registrasi Mahasiswa Baru (SIRMB) menggunakan kerangka open-source web-based application serta integrasinya dengan teknologi Application Programming Interface (API) Bank BNI menjadikan layanan administrasi yang terotomasi. Proses identifikasi masalah sampai perancangan solusi SIRMB menggunakan analisis gugus kendali mutu (QCC) dengan pendekatan metode Plan-Do-Check-Action (PDCA) sehingga menjamin perbaikan yang berkesinambungan. Penelitian ini berkontribusi terhadap perbaikan 76.9% terhadap proses kerja dengan eliminasi proses kerja manual registrasi mahasiswa baru, sehingga memberikan peningkatan kualitas layanan dan peningkatan produktivitas secara keseluruhan.

scholarly journals Developing an interactive application embodied in the geosciences educational procedure

2017 ◽  
Vol 47 (2) ◽  
pp. 1031
Author(s):  
P. Tsangaratos ◽  
M. Perraki ◽  
I. Ilia
Keyword(s):  
Application Programming Interface ◽  
Google Earth ◽  
Educational Tools ◽  
Related Data ◽  
Primary And Secondary Education ◽  
Interactive Display ◽  
Information And Communication ◽  
Application Programming ◽  
Interactive Application ◽  
Programming Interface

The aim of this study is to develop a Geovisual Mineralogical Cognitive Tool (GeMiCo Tool), a digital application that utilizes techniques from the domain of Information and Communication Technology. The application is part of the educational tools used at the Mineralogical Museum of the School of Mining and Metallurgical Engineering, National Technical University of Athens and concerns students of Higher, Primary and Secondary Education. The learning tool developed here embodies Google Earth API (Application Programming Interface), allowing users to interactively display and investigate geological and mineralogical related data. By that, users are able to select and present thematic layers of information related to the geo-exhibits, to create queries and searches and to navigate in 3D environment. The application runs on a large format multi-touch interactive display in the Mineralogical Museum of NTUA that attracts audiences and engages them in interactive collaborative tasks.

scholarly journals Arangopipe, a tool for machine learning meta-data management

Data Science ◽  
2021 ◽  
pp. 1-15
Author(s):  
Jörg Schad ◽  
Rajiv Sambasivan ◽  
Christopher Woodward
Keyword(s):  
Machine Learning ◽  
Life Cycle ◽  
Open Source ◽  
Data Model ◽  
Application Programming Interface ◽  
Learning Models ◽  
Essential Components ◽  
Application Programming ◽  
Programming Interface ◽  
Machine Learning Models

Experimenting with different models, documenting results and findings, and repeating these tasks are day-to-day activities for machine learning engineers and data scientists. There is a need to keep control of the machine-learning pipeline and its metadata. This allows users to iterate quickly through experiments and retrieve key findings and observations from historical activity. This is the need that Arangopipe serves. Arangopipe is an open-source tool that provides a data model that captures the essential components of any machine learning life cycle. Arangopipe provides an application programming interface that permits machine-learning engineers to record the details of the salient steps in building their machine learning models. The components of the data model and an overview of the application programming interface is provided. Illustrative examples of basic and advanced machine learning workflows are provided. Arangopipe is not only useful for users involved in developing machine learning models but also useful for users deploying and maintaining them.

An Approach to Facebook Post Analytics Using Python and Advance Open Source Tools

2018 ◽  
Vol 6 (6) ◽  
pp. 78
Author(s):  
Amit Sharma
Keyword(s):  
Open Source ◽  
Long Range ◽  
Data Extraction ◽  
Data Gathering ◽  
Application Programming Interface ◽  
Informal Communication ◽  
Standard Document ◽  
Kinship Networks ◽  
Application Programming ◽  
Programming Interface

The paper portrays the utilization of tools for data gathering and extraction that permits researchers to fare data in standard document groups from various areas of the facebook long range informal communication benefit. Kinship networks, gatherings, and pages can subsequently be breaking down quantitatively and subjectively with respect to demographical, post-demographical, and social qualities. The paper gives a review over expository headings opened up by the data made accessible, talks about stage particular parts of data extraction through the official Application Programming Interface, and quickly connects with the troublesome moral contemplations connected to this sort of research.

An API in JAVA Which Render Ease at Programming for Developers

2021 ◽  
Vol 1 (4) ◽  
pp. 27-31
Author(s):  
Bhuvan Agarwal ◽  
Soumyajeet Bhattacharjee ◽  
Sima Kar ◽  
Madhurima Saha ◽  
Vijay Kumar ◽  
...  
Keyword(s):  
Dynamic Programming ◽  
Open Source ◽  
Application Programming Interface ◽  
Development Environment ◽  
Application Programming ◽  
The Right ◽  
Almost All ◽  
Time And Space Complexity ◽  
Tree Traversals ◽  
Programming Interface

Abstract – Based on the concept of Application programming interface (API).This project comprises of a package named "algokit" which contains several algorithms based on the category of searching, sorting, dynamic programming, tree traversals and swapping. Keeping in mind that different algorithms from the same category have its own benefit in time and space complexity, This project covers almost all the algorithms known and available from each category. This would give the user several options to choose the right algorithm for its code.An user just requires to import the package named AlgoKit and call the functions inside it for a smooth programming experience. One of the prime objectives of this project is to build a kit that serves the purpose of reducing the number of lines of code and also reduce the time taken to run the same code elsewhere. It is platform independent and can be used in any open source Java development environment.

scholarly journals KOFFI and Anabel 2.0—a new binding kinetics database and its integration in an open-source binding analysis software

Database ◽  
2019 ◽  
Vol 2019 ◽  
Author(s):  
Leo William Norval ◽  
Stefan Daniel Krämer ◽  
Mingjie Gao ◽  
Tobias Herz ◽  
Jianyu Li ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Application Programming Interface ◽  
Extraction Methods ◽  
Binding Kinetics ◽  
Binding Data ◽  
Meta Information ◽  
Application Programming ◽  
Kinetics Of ◽  
Programming Interface

Abstract The kinetics of featured interactions (KOFFI) database is a novel tool and resource for binding kinetics data from biomolecular interactions. While binding kinetics data are abundant in literature, finding valuable information is a laborious task. We used text extraction methods to store binding rates (association, dissociation) as well as corresponding meta-information (e.g. methods, devices) in a novel database. To date, over 270 articles were manually curated and binding data on over 1705 interactions was collected and stored in the (KOFFI) database. Moreover, the KOFFI database application programming interface was implemented in Anabel (open-source software for the analysis of binding interactions), enabling users to directly compare their own binding data analyses with related experiments described in the database.

scholarly journals AGI (Artificial General Intelligence): Peluang Indonesia Melompat Jauh ke Depan

2018 ◽  
Vol 1 (2) ◽  
pp. 1-11
Author(s):  
Johanes B. Bunyamin
Keyword(s):  
Open Source ◽  
Application Programming Interface ◽  
General Intelligence ◽  
Artificial General Intelligence ◽  
Application Programming ◽  
Programming Interface

AGI (Artificial General Intelligence) adalah kecerdasan buatan yang setara dengan kecerdasan manusia, sehingga semua pekerjaan intelektual manusia bisa digantikan oleh perangkat AGI. Nilai komersialnya akan sangat tinggi di masa yang akan datang. Devisa yang diperoleh dari ekspor perangkat AGI bisa mencapai 10 triliun dolar per tahun. Indonesia memiliki peluang mengembangkan teknologi AGI dan mengkomersialkannya, sebab sampai saat ini belum ada satu ahli pun yang mengetahui cara kerja otak manusia secara lengkap yang bisa dijabarkan ke dalam algoritma AGI. Jadi, Indonesia tidak ketinggalan. Berdasarkan perkiraan paling optimis, AGI akan tercipta pada tahun 2029. Bila Indonesia menganggarkan dana untuk penelitian dan pengembangan AGI sebesar Rp 90 miliar total untuk 10 tahun, ada kemungkinan Indonesia berhasil menciptakan AGI. Biaya ini relatif kecil sebab strateginya adalah memanfaatkan sebanyak mungkin teknologi yang sudah dipublikasikan baik berupa open source maupun API (Application Programming Interface), dan menjadwalkan eksperimen sesuai dengan penurunan harga perangkat keras. Dalam makalah ini penulis mengusulkan Model Kecerdasan Berbasis Konsep atau CBIM (Concept Based Intelligence Model), yang dapat digunakan untuk menciptakan AGI. Model ini menggunakan pendekatan berdasarkan cara kerja otak manusia bukan hanya dari segi struktural otak melainkan juga pembelajaran dan perkembangannya secara evolusi. Secara teori, model ini masuk akal (plausible) karena bisa memberikan jawaban yang memuaskan terhadap masalah-masalah utama dalam menciptakan AGI. Namun, model ini hanya terbukti benar setelah dilakukan pengembangan. Karena kompleksitasnya dalam tingkat detail, diperkirakan butuh waktu 10 tahun untuk menyelesaikan pengembangannya, dimana targetnya adalah mendidik AGI sampai tingkat sarjana.  Keberhasilan pengembangan AGI memiliki nilai yang sangat strategis. Sebagaimana diilustrasikan dalam makalah ini, AGI bisa dimanfaatkan untuk mencerdaskan kehidupan bangsa, sesuai amanah UUD 45. Kemajuan akan mengalami percepatan di segala bidang termasuk di bidang ekonomi, kesehatan, pendidikan, budaya, sains, teknologi, dan militer, sehingga Indonesia akan menjadi negara termaju. Mengingat nilai strategisnya, sebaiknya pemerintah segera memulai proyek AGI.

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