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High Efficiency Video Coding (HEVC) adopts hybrid transform coding scheme to improve the transform performance. However, it does not consider the influence of the prediction unit boundary. This paper proposes an adaptive boundary dependent transform optimization scheme for HEVC. Based on the transform unit boundary type identification by checking whether it lies at a prediction unit boundary or not,...
Android phone manufacturers are under the perpetual pressure to move quickly on their new models, continuously customizing Android to fit their hardware. However, the security implications of this practice are less known, particularly when it comes to the changes made to Android's Linux device drivers, e.g., those for camera, GPS, NFC etc. In this paper, we report the first study aimed at a better...
This paper presents a feature-selection-based data fusion method to follow up the evolution of brain tumors under therapeutic treatments with multi-spectral MRI data sequences. The fusion of MRI data is proposed to use a feature selection method to choose the most important features to classify tumor tissues and non-tumor tissues. Our system consists of three steps for each MRI examination (one examination...
The objective of this study concerns the classification of a scene observed by different types of images, which generates large amounts of data to be processed. We have therefore chosen to use the classification SVM (Support Vector Machines) who is known for treating high-dimensional data. Although different sources of information can provide additional information to address the ambiguities, they...
In this paper, the multi-kernel SVM (Support Vector Machine) classification, integrated with a fusion process, is proposed to segment brain tumor from multi-sequence MRI images (T2, PD, FLAIR). The objective is to quantify the evolution of a tumor during a therapeutic treatment. As the procedure develops, a manual learning process about the tumor is carried out just on the first MRI examination. Then...
Tumor segmentation, a significant application in the field of medical imaging and pattern recognition, is still a very difficult and unsolved problem up to now. In this paper, an improved SVM algorithm-multi-kernel SVM, integrated with data fusion process, is proposed to segment the tumors from the MRI image sequence. Three kinds of MRI image sequence-T2, PD, FLAIR are used as input sources in learning...
The need of extensive computing capacity is expanding all the time. Especially in company providing network service, adding servers physically requires much more cost. Also in embedded system, resource is also very limited. That is why virtulization is so popular in research and industry application. A lot of virtulization technique is raised to supply great computing capacity with multiple operating...
Security of embedded systems is becoming more and more important. IDS (instrusion detection system) has been designed to protect systems from being compromised by network attacks. A lot of researches have been done on it. However, most of them focus on complex and time-consuming detection methods to improve accuracy of the system, with assumption that IDS is running under control of general purpose...
Nowadays, boot loader becomes more and more important in system, especially the embedded systems which are widely used in different field. Also, many complicated functions have been and will be integrated into boot loader. However, traditional boot loader in embedded system is located in flash or memory which is much slow. The system-on-a-chip technology provides the scratch-pad memory (SPM), which...
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