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DDoS attack is still one of the major threats from Internet. We propose a new technique to mitigate different types of DDoS, combining and taking advantages of both machine learning algorithms and Bloom filter. We use machine learning to extract features of attacks, then use a customized Bloom filter to defend attacks based on selected features. We implemented and tested the performance of the proposed...
Women are at a twofold higher risk of developing major depressive disorder (MDD) than that of men. However, the investigation of female MDD patients functional brain activity is rare and the detailed mechanism remains unclear. The present work is to explore the altered spontaneous neural activity measured with regional homogeneity (ReHo) in female MDD patients using resting-state functional magnetic...
3D anthropometric data can be obtained more easily than several years ago, but to process 3D data is most challenging and local feature extraction is one of the challenges. To extract local features of a landmark on 3D anthropometric data, numerous methods have been proposed. But the method with high efficiency, good robustness and strong adaptability is still not found out. In this paper, an approach...
Segmentation is a critical and necessary procedure for computer vision, texture mapping and reverse engineering, which aims to digitally partition scanned point cloud or polygon mesh into subset which belongs to some kind of algebraic or NURBS surface. In this paper, a novel segmentation algorithm on triangulated boundary mesh is proposed based on boundary extraction and feature identification to...
In this paper, an automated video surveillance for crime scene detection using statistical characteristics is presented. The system is named Public Safety System(PSS). If the scene shows some peculiar situation such as purse-snatching, kid napping and fighting on the street, the PSS recognize the situation and automatically report to agency. Localization of moving targets in the scene and human behavior...
The objective of the present study is to determine if surface electromyography (EMG) signals can be used for controlling the motion of the meal assistance robot. The power of four EMG channels were calculated and encoded into five commands to track the motion of meal assistance robot. The results indicated that by using EMG signals, the meal assistance robot was able to follow the movement desire...
Mainstream automatic speech recognition has focused almost exclusively on the acoustic signal. The performance of these systems degrades considerably in the real world in the presence of noise. On the other hand, most human listeners, both hearing-impaired and normal hearing, make use of visual information to improve speech perception in acoustically hostile environments. Motivated by humans' ability...
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