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Eram Asghar , Aamer Ahmad Baqai , Ramshah Ahmad Toor , Sara Ayub (2016). Co-Development of Process Planning and Structural Configurations Considering Machine’s Accessibility in a Reconfigurable Setup. Review of Computer Engineering Research, 3(2): 41-46. DOI: 10.18488/journal.76/2016.3.2/18.104.22.168
Manufacturing System has been evolved over the years to accommodate major design variations. To respond to these high frequency variations and to stay competitive, there is a need of having such type of manufacturing system that could cope with market trends and design changes efficiently. Product’s design and its manufacturing capabilities are closely related, thus the manufacturing system should be customized to cater all the design changes with suitable manufacturing capabilities. Reconfigurable Manufacturing system has been recommended for the turbulent market conditions because of its flexible and changeable nature. This research work is based on the co-generated model in which optimal machine configurations are generated through the application of optimization technique. Based on these configurations, system is tested for reconfiguration in case of production changeovers. Considering the relevant change drivers the degree of reconfigurability in any case of application can be achieved through proposed algorithm. A case study has been presented to illustrate the application of proposed model based on the technological constraints.
This study contributes in the existing literature of reconfiguration in a manufacturing system. Considering the parameters mentioned in eq.1 makes this approach generic, reliable and cost effective. Selection of operation and its sequence has given better flexibility and scalability through the application of MOGA. Actual resources (machining and assembly setups) can be obtained using this approach by measuring extent of reconfiguration for production changeovers.
Lossless Image Compression and Decompression to Improve the PSNR and MSE Values Using Architecture
J. Portilla, V. Strela, M. J. Wainwright, and E. P. Simoncelli, "Image denoising using a scale mixture of Gaussians in the wavelet domain," IEEE Transactions on Image Processing, vol. 12, pp. 1338–1351, 2003.
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S. Kannadhasan , B.Naveen Lingaesh , R. Alagumanikandan (2016). Lossless Image Compression and Decompression to Improve the PSNR and MSE Values Using Architecture. Review of Computer Engineering Research, 3(2): 35-40. DOI: 10.18488/journal.76/2016.3.2/22.214.171.124
An adaptive algorithm for compressing the color images is proposed. This technique uses a combination of simple and computationally easy operations. The two main steps consist of decomposition of data and data compression. The result is a practical scheme that achieves good compression while providing fast decompression. The approach has performance comparable to and often better than, existing architecture. This paper gives the overview of an adaptive lossless compression scheme. This scheme uses a new technique to predict a pixel by matching neighboring pixel, an adaptive color difference estimation scheme to remove the color spectral redundancy while handling red and blue samples and an adaptive codeword generation technique to encode the prediction residues. The technique lossless image compression plays an important role in image transmission and storage for high quality. At present, both the compression ratio and processing speed should be considered in a real time multimedia system. Lossless compression algorithm is used for this technique. A low Complexity predictive model is proposed using the correlation of pixels and color components. Also a color space transform is used and good decoration is obtained in our algorithm. The compared experimental results have shown that our algorithm has a noticeably better performance than traditional algorithms.