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Articles by D.F.W. Yap
Total Records ( 2 ) for D.F.W. Yap
  S.T. Lim , D.F.W. Yap and N.A. Manap
  Principal Component Analysis (PCA) has received growing attention in its latent potential in image compression. However, the image reconstructed from PCA compressed data can be improved in terms of image quality and compression ratio. In this study, a modified PCA algorithm was considered. In this algorithm, the eigenvectors derived from the original image was used to reconstruct the compressed data. Performance evaluation show that PSNR and SSIM obtained for image compressed by the proposed modified PCA are significantly higher than the conventional PCA algorithm (p<0.05). The objective evaluation results were further confirmed by the visual inspection of the output images where less streaks and noise were found on image compressed by the proposed modified PCA at compression ratio as high as 90%.
  D.F.W. Yap , S.P. Koh , S.K. Tiong and S.K. Prajindra
  Artificial Immune Systems (AIS) has generated great interest among researchers as the algorithm is able to improve local searching ability and efficiency. However, the rate of convergence for AIS in finding the global minima is rather slow as compare to other Evolutionary Algorithms. Alternatively, Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have been used effectively in solving complicated optimization problems, but they tend to converge prematurely at the local minima. In this study, the Hybrid AIS (HAIS) is proposed by combining the good features of AIS and PSO in order to reduce this shortcoming. By comparing the optimization results of the mathematical functions and the engineering problem using GA, AIS and HAIS, it is observed that HAIS achieved better performances in terms of accuracy, convergence rate and stability.
 
 
 
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