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 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.

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 GIS-based NNA and Kernel Density Analysis for Identifying Distribution of Restaurant’s Popularity Index in Bandung

2021 ◽  
Vol 940 (1) ◽  
pp. 012012
Author(s):  
S S A’idah ◽  
D Susiloningtyas ◽  
I P A Shidiq
Keyword(s):  
Application Programming Interface ◽  
Distribution Patterns ◽  
Gis Applications ◽  
Information And Communication ◽  
Density Analysis ◽  
Application Programming ◽  
Surrounding Space ◽  
Kernel Density Analysis ◽  
Programming Interface

Abstract With the advancement of information and communication technology, geographic information systems (GIS) also grow. The existence of GIS allows problems to be solved as much as possible by paying attention to the surrounding space. GIS applications have been widely applied in everyday life including in the culinary field. The existence of GIS in the culinary field can make it easier to find location information where a restaurant is located and find out how the restaurant’s popularity index is. This research focuses on using NNA and KDA to analyze distribution patterns formed from each classification of restaurant popularity index in Bandung and the density of the restaurant point. Restaurant data containing restaurant names, restaurant addresses, restaurant types, food types, and restaurant popularity indexes were obtained from Zomato using Zomato’s Application Programming Interface (API). The result of this research are spatial distribution pattern of the high, medium, and low popularity restaurants in Bandung City showing the same characteristics, clustering and has a large density in several sub-districts.

Mobile Networks and Indian Agricultural Sector

2017 ◽  
pp. 60-79 ◽  
Author(s):  
Lokesh Jain ◽  
Harish Kumar
Keyword(s):  
Mobile Networks ◽  
Information Dissemination ◽  
Agricultural Sector ◽  
Fuzzy Rule ◽  
Mobile Network ◽  
Application Programming Interface ◽  
Application Architecture ◽  
Information And Communication ◽  
Application Programming ◽  
Programming Interface

Information dissemination in agricultural sector for its growth using information and communication technology (ICT) as a tool is need of the hour. This can be achieved using information systems. ICT benefits are helpful in exchange and dissemination of information among farming stakeholders. By using the latest tool of mobile technology, farmers can get the current information related to their farming jobs around the clock and at any location, as the mobile network have touched every part/location of the India. Using the features of the mobile-phones like GPS etc. one can get the localized information. Only need is to structure the abundant information available across the various organizations. So, a mobile based agricultural information system framework ‘mAgIDS' has been proposed employing the hybrid mobile application architecture approach. Client-server architecture using the location Application Programming Interface (API) has been proposed. Inference mechanism of the system has implemented on the basis of improved fuzzy rule promotion technique.

Mobile Networks and Indian Agricultural Sector

2020 ◽  
pp. 516-535
Author(s):  
Lokesh Jain ◽  
Harish Kumar
Keyword(s):  
Mobile Networks ◽  
Information Dissemination ◽  
Agricultural Sector ◽  
Fuzzy Rule ◽  
Mobile Network ◽  
Application Programming Interface ◽  
Application Architecture ◽  
Information And Communication ◽  
Application Programming ◽  
Programming Interface

Information dissemination in agricultural sector for its growth using information and communication technology (ICT) as a tool is need of the hour. This can be achieved using information systems. ICT benefits are helpful in exchange and dissemination of information among farming stakeholders. By using the latest tool of mobile technology, farmers can get the current information related to their farming jobs around the clock and at any location, as the mobile network have touched every part/location of the India. Using the features of the mobile-phones like GPS etc. one can get the localized information. Only need is to structure the abundant information available across the various organizations. So, a mobile based agricultural information system framework ‘mAgIDS' has been proposed employing the hybrid mobile application architecture approach. Client-server architecture using the location Application Programming Interface (API) has been proposed. Inference mechanism of the system has implemented on the basis of improved fuzzy rule promotion technique.

scholarly journals 2020 Global Conference on Wireless and Optical Technologies (GCWOT) Help Pro

2021 ◽  
Author(s):  
ALI YOUSUF KHAN ◽  
Miguel Angel Luque-Nieto ◽  
Samiya Batool ◽  
Hammad Ahmed ◽  
Abdul Hadi Saeed ◽  
...  
Keyword(s):  
Information And Communication Technologies ◽  
Application Programming Interface ◽  
Communication Technologies ◽  
Dijkstra Algorithm ◽  
The World ◽  
Information And Communication ◽  
Smart Tv ◽  
Application Programming ◽  
Programming Interface ◽  
Global Conference

Abstract Information and Communication Technologies are regularly used in medicinal services and associations around the world. The Android working framework-based electronic contraptions, for example, Smartphones, smart TV and tablets are comprehensively utilized for numerous purposes. Within android devices, there are distinctive types of health and medical applications that provide ease to patients and their caretakers to lessen time [1]. This undertaking includes a thought that is proposed, to save lives by a single tap. It is very advantageous for users in case of emergency: through this application, an ambulance could be available within 100 meters of the user’s real-time location. The Dijkstra algorithm is used in this application by Google Maps API (Application Programming Interface) and this way nearest ambulance arrives on time. Consequently, not only time is efficiently saved but also precious lives.

Sistem Pengawasan Aktifitas Penggunaan Smartphone Android

2018 ◽  
Vol 9 (1) ◽  
pp. 24-31
Author(s):  
Rudianto Rudianto ◽  
Eko Budi Setiawan
Keyword(s):  
Application Programming Interface ◽  
Third Party ◽  
Image Content ◽  
Image File ◽  
Application Programming ◽  
Index Terms ◽  
Programming Interface

Availability the Application Programming Interface (API) for third-party applications on Android devices provides an opportunity to monitor Android devices with each other. This is used to create an application that can facilitate parents in child supervision through Android devices owned. In this study, some features added to the classification of image content on Android devices related to negative content. In this case, researchers using Clarifai API. The result of this research is to produce a system which has feature, give a report of image file contained in target smartphone and can do deletion on the image file, receive browser history report and can directly visit in the application, receive a report of child location and can be directly contacted via this application. This application works well on the Android Lollipop (API Level 22). Index Terms— Application Programming Interface(API), Monitoring, Negative Content, Children, Parent.

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