This paper proposes a modified sine cosine algorithm (MSCA) for discrete sizing optimization of truss structures. The original sine cosine algorithm (SCA) is a population-based metaheuristic that fluctuates the search agents about the best solution based on sine and cosine functions. The efficiency of the original SCA in solving standard optimization problems of well-known mathematical function...

A generals and an efficient design approach using radial basis function(RBF) neural classifier to cope with small training sets of high dimension , which is a problem frequently encountered in face recognition, is presented in this paper. In order to avoid over fitting and reduce the computational burden, face features are first extracted by the discrete cosine transform method since Principal ...

This Paper proposes a new facial feature extraction approach, Wash-Hadamard Transform (WHT). This approach is based on correlation between local pixels of the face image. Its primary advantage is the simplicity of its computation. The paper compares the proposed approach, WHT, which was traditionally used in data compression with two other known approaches: the Principal Component Analysis (PCA...

When video is transmitted over 3G networks, the video quality might suffer from impairments caused by packet losses. Extracting video quality features is a set of algorithms and inverse discrete cosine transforms is an important algorithm in this field. To improve the performance and be suitable to apply to evaluating the 3G video quality in real-time, two different parallel algorithms with CUD...

High information redundancy and strong correlations in face images result in inefficiencies when such images are used directly in recognition tasks. In this paper, Discrete Cosine Transforms (DCTs) are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features, such as hair outline, eyes and mouth....

In this paper, a novel contrast enhancement technique for contrast enhancement of a low-contrast satellite image has been proposed based on the singular value decomposition (SVD) and discrete cosine transform (DCT). The singular value matrix represents the intensity information of the given image and any change on the singular values change the intensity of the input image. The proposed techniq...

Dimensionality reduction, clustering and visualisation methods proposed in recent years have afforded new possibilities for the analysis of gene expression data. However, efficient, novel techniques for processing and representing microarray data are still required. We propose the use of the discrete cosine and sine transformations for dimensionality reduction of microarray data. These techniqu...

DCT-based transforms are widely adopted for video compression. Recently, many authors have highlighted that prediction residuals usually have directional structures that cannot be efficiently represented by conventional Discrete Cosine Transform (DCT). Although directional transforms have superior performance over the conventional DCT, for application in video compression it is necessary to eva...

Manuscript received December 17, 1998. Manuscript revised March 2, 1999. † The authors are with the Institute of Industrial Science, The University of Tokyo, Tokyo, 106-8558 Japan. SUMMARY Lossless block transforms and filter banks that map integers to integers are important for unified lossless and lossy image coding systems. In this paper, we present simple yet effective methods for designing...