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Bootstrap detector (BSD) and soft-start embedded in Type III compensation (SSEC) are implemented in the switch-mode charger to achieve high efficiency and ensure robustness charging process. The proposed BSD monitors the bootstrap voltage to avoid low efficiency and serious burning problem in both synchronous and non-synchronous charging modes. On the other hand, the SSEC avoids inrush current in...
In accordance with the multi-objective nature of image watermarking, an optimal image watermarking approach using a multi-objective genetic algorithm is presented in this paper. Both watermarking parameters and embedding positions are often important factors affecting the performance of watermarking systems. The proposed multi-objective watermarking method can automatically optimize system parameters,...
A watermarking-based host correlation detection method is proposed in this paper. The idea is to embed some unique watermark into the flow by slightly adjusting the timing of selected packets in the flow. In the embedding phase, we use network flow grouping strategy to divide the IPDs (i.e., interpacket delay) into two different groups randomly, and then realize the watermark embedding by utilizing...
Semi-fragile watermark has attracted attention due to its important role in content authentication for multimedia. In order to distinguish malicious tampering from incidental attacks, semi-fragile watermark must be robust against content-protection image processing. Due to the widely use of JPEG compression, it is always an important subject of semi-fragile watermarking research to improve the performance...
In many pattern recognition and data mining tasks, we often confront the problem of learning from a large amount of unlabeled data only with few pairwise constraints. This learning style is a kind of semi-supervised learning, and these pairwise constraints are called Side-Information. Generally speaking, these pairwise constraints are divided into two categories, one is called must-link if the pair...
Based on local audio feature and support vector regression (SVR), an adaptive blind audio watermarking algorithm in wavelet domain is proposed in this paper. The audio signal is partitioned into audio frames, and the watermark is embedded in wavelet domain. For each audio frame, the energy and the maximal peaks of its all sub-bands are extracted as the local features, and SVR is used to model the...
This paper proposed a novel blind image watermark scheme in discrete cosine transform (DCT) domain. The original image is divided into small image blocks with size 8*8 first, and then the binary watermark bits are embedded into DCT domain of image blocks adaptively through a novel watermark embedding algorithm. The original image is not needed in the extraction algorithm. For gaining good fidelity...
Combined with audio features and the advantage of discrete multiwavelet transform (DMT) in signal processing, a novel audio watermarking scheme is proposed in this paper. Due to the high relevance between adjacent audio frames, the watermark embedding and detection are based on the energy relationship of two consecutive frames in multiwavelet domain. To enhance the robustness and auditory quality,...
A digital watermarking method for color image in wavelet domain is proposed. The watermarking information which include a section of template information, is embedded into low-frequency coefficients of Y component in YUV color space. This section of template information defines a kind of relation between the low-frequency coefficients corresponding to the four sub-images obtained by down-sampling...
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