In today’s life need of security is require in digital media due to the extensive use of digital media applications, multimedia security and copyright protection has gained tremendous importance. Digital watermarking is technology used for various applications. In field of digital media like copyright protection, Authentication etc. A lot of techniques are available for protecting the copyright...

Watermarking techniques can be applied in digital images to maintain the authenticity and integrity for copyright protection. In this paper, scale-invariant feature transform (SIFT) is combined with local digital watermarking and a digital watermarking algorithm based on SIFT, singular value decomposition (SVD), and all phase biorthogonal transform (APBT) is proposed. It describes the generatio...

Protection of digital multimedia content has become an increasingly important issue for content owners and service providers. As watermarking is identified as a major technology to achieve copyright protection, the relevant literature includes several distinct approaches for embedding data into a multimedia element (primarily images, audio, and video). In this paper, we present a hybrid waterma...

Due to the development of the Internet, security and intellectual property protection have attracted significant interest in the copyright protection field recently. A novel watermarking scheme for breath sounds, combining lifting wavelet transform (LWT), discrete cosine transform (DCT), singular value decomposition (SVD) and dither modulation (DM) quantization is proposed in this paper as a wa...

This paper presents a robust copyright protection scheme based on Lifting Wavelet Transform (LWT) and Singular Value Decomposition (SVD). We have used fractal decoding to make a very compact representation of watermark image. The fractal code is presented by a binary image. In the embedding phase of watermarking scheme, at first, we perform decomposing of the host image with 2D-LWT transform, t...

Pathological speech usually refers to speech distortion resulting from illness or other biological insults. The assessment of pathological speech plays an important role in assisting the experts, while automatic evaluation of speech intelligibility is difficult because it is usually nonstationary and mutational. In this paper, we carry out an independent innovation of feature extraction and red...

We describe the singular value decomposition (SVD) of yeast genome-scale mRNA lengths distribution data measured by DNA microarrays. SVD uncovers in the mRNA abundance levels data matrix of genes x arrays, i.e., electrophoretic gel migration lengths or mRNA lengths, mathematically unique decorrelated and decoupled "eigengenes." The eigengenes are the eigenvectors of the arrays x arrays correlat...

We consider the assignment of enterprise applications in virtual machines to physical servers, also known as server consolidation problem. Data center operators try to minimize the number of servers, but at the same time provide sufficient computing resources at each point in time. While historical workload data would allow for accurate workload forecasting and optimal allocation of enterprise ...

Information security has been defined as one of the most critical issues in information era, it is utilized to protect confidential during transfers real-world applications. In case image encryption, a variety approaches were used. Domain spatial and domain frequency are two domains which such techniques can be classified. This study uses combination singular value de-composition (SVD) discrete...

Abstract Feature information extraction is one of the key steps in prognostics and health management rotating machinery. In present study, an investigation about feasibility a methodology based on generalized S transform (GST) singular value decomposition (SVD) methods for feature rolling bearing, due to local damage under variable conditions, conducted. The technique adopts GST method, followi...