scholarly journals Development of a National Integrated Agricultural Field Data Application Programming Interface (API) that Combines Field Polygons, Agricultural Field Pins, and Soil Map Data

2021 ◽  
Vol 30 (2) ◽  
pp. 35-44
Author(s):  
Takehiro Shiomi ◽  
Takeshi Saito ◽  
Mitsunori Ishihara ◽  
Mitsuhiro Wada ◽  
Shigehiko Hayashi ◽  
...  
Keyword(s):  
Field Data ◽  
Application Programming Interface ◽  
Agricultural Field ◽  
Soil Map ◽  
Data Application ◽  
Application Programming ◽  
Map Data ◽  
Programming Interface

scholarly journals What Can Publicly Available API Data Tell Us about Supply and Demand for New Mobility Services?

2020 ◽  
Vol 2674 (1) ◽  
pp. 178-187
Author(s):  
Amir Hassanpour ◽  
Alexander Bigazzi ◽  
Don MacKenzie
Keyword(s):  
Data Extraction ◽  
Supply And Demand ◽  
Open Data ◽  
Application Programming Interface ◽  
Relevant Information ◽  
Time Data ◽  
Data Application ◽  
Application Programming ◽  
System Data ◽  
Programming Interface

Better understanding of the impacts of new mobility services (NMS) is needed to inform evidence-based policy, but cities and researchers are hindered by a lack of access to detailed system data. Application programming interface (API) services can be a medium for real-time data sharing and access, and have been used for data collection in the past, but the literature lacks a systematic examination of the potential value of publicly available API data for extracting policy-relevant information, specifically supply and demand, on NMS. The objectives of this study are: 1) to catalogue all the publicly available API data streams for NMS in three major cities known as the Cascadia Corridor (Vancouver, British Columbia; Seattle, Washington; and Portland, Oregon); 2) to create, apply, and share web data extraction tools (Python scripts) for each API; and 3) to assess the usefulness of the extracted data in quantifying supply and demand for each service. Results reveal some measures of supply and demand that can be extracted from API data and be useful in future analysis (mostly for bikeshare and carshare services, not ridesourcing). However, important information on supply and demand of most of the NMS in these cities cannot be obtained through API data extraction. Stronger open data policies for mobility services are therefore needed if policymakers want to obtain useful and independent insights on the usage of these services.

scholarly journals Street Computing: Towards an Integrated Open Data Application Programming Interface (API) for Cities

2012 ◽  
Vol 19 (2) ◽  
pp. 1-23 ◽  
Author(s):  
Ricky Robinson ◽  
Markus Rittenbruch ◽  
Marcus Foth ◽  
Daniel Filonik ◽  
Stephen Viller
Keyword(s):  
Open Data ◽  
Application Programming Interface ◽  
Data Application ◽  
Application Programming ◽  
Programming Interface

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.

scholarly journals Advanced soft robot modeling in ChainQueen

Robotica ◽  
2021 ◽  
pp. 1-31
Author(s):  
Andrew Spielberg ◽  
Tao Du ◽  
Yuanming Hu ◽  
Daniela Rus ◽  
Wojciech Matusik
Keyword(s):  
Application Programming Interface ◽  
Material Point ◽  
Soft Robotics ◽  
Soft Robot ◽  
Inference Control ◽  
Simulation And Optimization ◽  
Efficient Simulation ◽  
Application Programming ◽  
Robot Modeling ◽  
Programming Interface

Abstract We present extensions to ChainQueen, an open source, fully differentiable material point method simulator for soft robotics. Previous work established ChainQueen as a powerful tool for inference, control, and co-design for soft robotics. We detail enhancements to ChainQueen, allowing for more efficient simulation and optimization and expressive co-optimization over material properties and geometric parameters. We package our simulator extensions in an easy-to-use, modular application programming interface (API) with predefined observation models, controllers, actuators, optimizers, and geometric processing tools, making it simple to prototype complex experiments in 50 lines or fewer. We demonstrate the power of our simulator extensions in over nine simulated experiments.

A Layered Mapping of Ada 202X to OpenMP

2021 ◽  
Vol 40 (2) ◽  
pp. 55-58
Author(s):  
S. Tucker Taft
Keyword(s):  
Operating System ◽  
Application Programming Interface ◽  
Light Weight ◽  
Main Interest ◽  
Thread Scheduling ◽  
Environment Variables ◽  
Application Programming ◽  
Parallel Loops ◽  
Programming Interface

The OpenMP specification defines a set of compiler directives, library routines, and environment variables that together represent the OpenMP Application Programming Interface, and is currently defined for C, C++, and Fortran. The forthcoming version of Ada, currently dubbed Ada 202X, includes lightweight parallelism features, in particular parallel blocks and parallel loops. All versions of Ada, since its inception in 1983, have included "tasking," which corresponds to what are traditionally considered "heavyweight" parallelism features, or simply "concurrency" features. Ada "tasks" typically map to what are called "kernel threads," in that the operating system manages them and schedules them. However, one of the goals of lightweight parallelism is to reduce overhead by doing more of the management outside the kernel of the operating system, using a light-weight-thread (LWT) scheduler. The OpenMP library routines support both levels of threading, but for Ada 202X, the main interest is in making use of OpenMP for its lightweight thread scheduling capabilities.

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