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In this research, we propose a heterogeneous anomaly-based intrusion detection system (HA-IDS) which is built on both of Field-Programmable Gate Array (FPGA) and Graphics Processing Unit (GPU) platforms. An essential anomaly-based IDS comprises of the two main components: Feature Construction Module (FC) to extract and collect network header information, and Classification Module (CM) to categorize...
Embedded signal-processing applications often require feature tracking to identify and track the motion of different objects (features) across a sequence of images. Common measures of similarity for real-time usage are either based on correlation, mean-squared error, or sum of absolute differences, which are not robust enough for safety-critical applications. A recent feature-tracking algorithm called...
SIFT (Scale Invariant Feature Transform) is one of most popular approach for feature detection and matching. Many parallelized algorithms have been proposed to accelerate SIFT to apply into real-time systems. This paper divides the researches into three different categories, that is, optimizing parallel algorithms based on general purpose multi-core processors, designing customized multi-core processor...
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