Efficient Java Native Interface for Android Based Mobile Devices

Lee, Yann-Hang; Chandrian, Preetham; Li, Bo

doi:10.1109/trustcom.2011.162

Cited by 14 publications

(8 citation statements)

References 10 publications

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“…Android applications are written in the Java programming language. All the code in a single Android package file is considered to be one application [4]. Each application runs in its own Linux process and performs a different role in the overall application behavior, and each one can be activated individually.…”

Section: A Androidmentioning

confidence: 99%

“…The Android applications are mostly written in Java by developer and controlling the device via Google-developed Java libraries [3]. However, mobile devices having a common issue which have limited storage and constrained battery life [4], as a result the developers should pay more attention to the efficiency of the program when they develop Android applications. It is because Java is slow when handling hardware resource and complex operation such as calculation in image processing or authentication process.…”

Section: Introductionmentioning

confidence: 99%

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Java Application Development using JNI on Android

2015

IJCCIE

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In this paper, we sharing experience on Java Android development by using JNI which is a Java interface to converge with non-Java code. Nowadays, the Android platform widely used for mobile devices can be applied to embedded systems. Therefore, Android developers around the world are creating and compiling Android application by using Java language which provided by Android SDK for embedded systems operated via Android platforms. However, many Android developers still interested to implement their application by using library from other programming language such as C/C++. It is the reason JNI comes in to the picture and plays an important role to provide an interface which enables the Java able to interact with libraries of others platform. This paper describes the difficulties faced and solutions when doing implementation of Android application development by using Java JNI.

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Section: A Androidmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Java Application Development using JNI on Android

2015

IJCCIE

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“…They demonstrated where performance is better in Android. By other side, in [6] demonstrated a work where the native code is most ecient to develop high performance applications.…”

Section: Related Workmentioning

confidence: 99%

Parallelization Strategy Based on RenderScript Reductions

Ruiz¹,

Cedillo

Vázquez³

2014

RCS

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RenderScript is a set of tools designed by Google to support parallel processing on mobile devices with Android. This tools were designed to run on dierent processing components such as Central Processing Units (CPU), Digital Signal Processors (DSP) and Graphics Processing Units (GPU) and it allows portability between mobile electronics devices such as Tablets and Smartphones. RenderScript has a runtime that decides where and how to execute commands list in parallel, it differs in coding and abstraction problem from others platforms used as Open Computing Language (OpenCL) and Compute Unied Device Architecture (CUDA). However, in this new parallelization paradigm kernel is not optimized for a specic architecture. There are not clear strategies for reduction algorithms implementation. For this reason this paper proposes several strategies for reduction algorithms implementation between vectors using RenderScript.

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“…The pedestrian classifier, which is based on the cascade AdaBoost algorithm, is learned by using these features. The trained classifiers are then transplanted to the Android platform using JNI [3] and NDK [4]. We use the INRIA dataset [5] and take pictures by using an Android mobile phone as test pictures to evaluate system performance.…”

Section: Introductionmentioning

confidence: 99%

Pedestrian Detection for Android Mobile Devices

Li¹,

Qu²,

Ma³

2018

dtcse

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With the popularity of Android mobile devices and rapid development of hardware performance, more computer vision algorithms can be implemented on Android mobile devices, such as object detection, face recognition, etc. This paper focuses on the problem of implementing pedestrian detection on Android mobile devices. Recently, the commonly used pedestrian detection algorithm is based on sliding window strategy which uses single or multi-features, such as HOG and Channel features. Due to the resource limitation of mobile devices, in this paper, we use HOG and LBP joint feature to achieve pedestrian detection. In order to improve the efficiency of the algorithm, we use the spatial pooling algorithm to process the HOG-LBP joint feature. Experiments on the Android mobile phone shows that this method not only has competitive accuracy but also improves the pedestrian detection efficiency on both INRIA dataset and mobile phone images.

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Efficient Java Native Interface for Android Based Mobile Devices

Cited by 14 publications

References 10 publications

Java Application Development using JNI on Android

Java Application Development using JNI on Android

Parallelization Strategy Based on RenderScript Reductions

Pedestrian Detection for Android Mobile Devices

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