scholarly journals Fine-Grained Isolation to Protect Data against In-Process Attacks on AArch64

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 236
Author(s):  
Yeongpil Cho
Keyword(s):  
Application Programming Interface ◽  
Sensitive Data ◽  
Fine Grained ◽  
New Class ◽  
Application Programming ◽  
Application Developers ◽  
Data Isolation ◽  
Programming Interface

In-process attacks are a new class of attacks that circumvent protection schemes centered around inter-process isolation. Against these attacks, researchers have proposed fine-grained data isolation schemes that can protect sensitive data from malicious accesses even during the same process. Their proposals based on salient hardware features, such as ARM® processor architecture’s domain protection, are quite successful, but it cannot be applied to a specific architecture, namely AArch64, as this does not provide the same hardware features. In this paper, therefore, we present Sealer, a fine-grained data isolation scheme applicable in AArch64. Sealer achieves its objective by brilliantly harmonizing two hardware features of AArch64: The eXecute-no-Read and the cryptographic extension. Sealer provides application developers with a set of application programming interface (API) so that the developers can enjoy the fine-grained data isolation in their own way.

Keyframe-Based Scenegraph Animation API for Virtual Reality Applications

2010 ◽  
Author(s):  
Christian Noon ◽  
Brandon Newendorp ◽  
Eliot Winer ◽  
Jim Oliver
Keyword(s):  
Virtual Reality ◽  
Application Programming Interface ◽  
Control Points ◽  
Aircraft Carrier ◽  
Research Areas ◽  
Modeling Software ◽  
Game Engines ◽  
Application Programming ◽  
Application Developers ◽  
Programming Interface

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.

scholarly journals Towards an API for User Attention Prediction in Mobile Notification Overload

2018 ◽  
Author(s):  
Alberto Vianna Dias da Silva ◽  
Vaninha Vieira
Keyword(s):  
Machine Learning ◽  
Mobile Device ◽  
Context Awareness ◽  
Mobile Application ◽  
Application Programming Interface ◽  
Application Programming ◽  
User Attention ◽  
Application Developers ◽  
Programming Interface

Mobile device users receive a lot of notifications per day. Some important notifications may be lost because of notification overloading. For some user, losing a notification can generate serious problems. This work proposes an Application Programming Interface (API) that uses context-awareness and machine learning to predict user attention to support mobile application developers and increases the chances of a important notification to be attended.

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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