On the comprehension of application programming interface usability in game engines

Author(s):  
Akhila Sri Manasa Venigalla ◽  
Sridhar Chimalakonda
Author(s):  
Christian Noon ◽  
Brandon Newendorp ◽  
Eliot Winer ◽  
Jim Oliver

Virtual reality (VR) applications are used in many areas of academic and industrial research areas including engineering, bio-medical & geo-sciences, among others. These applications generally focus on creating a VR environment to enhance user experience. One of the main challenges VR application developers face is to make objects within the environment move in a natural, realistic manner. Many commercial packages and programming libraries exist to help generate complex animations, including physics engines, game engines and modeling software such as Autodesk Maya. All of these tools are very useful, but have many disadvantages when applied to VR applications, as they were not designed for VR development. To address these issues, a VR application programming interface (API) was developed to help VR developers create and visualize natural, complex animations for VR-based systems utilizing OpenSceneGraph. This API, called the Animation Engine 2.0, was built in a manner animators and developers are already familiar with by integrating control points and keyframes for controlling animations. The system is time-based to scale to any size of VR system, which enabled the ability to support different time interpolations as well to incorporate acceleration into animations to create behavioral events such as a boing, bounce, or surge. In this paper, the Animation Engine API is presented along with its integration into a VR aircraft carrier application.


2018 ◽  
Vol 9 (1) ◽  
pp. 24-31
Author(s):  
Rudianto Rudianto ◽  
Eko Budi Setiawan

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.


Robotica ◽  
2021 ◽  
pp. 1-31
Author(s):  
Andrew Spielberg ◽  
Tao Du ◽  
Yuanming Hu ◽  
Daniela Rus ◽  
Wojciech Matusik

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.


2021 ◽  
Vol 40 (2) ◽  
pp. 55-58
Author(s):  
S. Tucker Taft

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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