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Efficient medical image transformation method for lossless compression by considering real time applications
, Article 4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010 - Proceedings, 13 December 2010 through 15 December 2010, Gold Coast, QLD ; 2010 ; 9781424479078 (ISBN) ; Mortazavi, M ; Ghorshi, S ; Choupan, J ; Sharif University of Technology
2010
Abstract
Medical images contain human body pictures and used widely in diagnosis and surgical purposes [1]. Compression is needed for medical images for some applications such as profiling patient's data or transmission systems Due to the importance of the information of medical images, lossless or visually lossless compression preferred. Lossless compression mainly consists of transformation and encoding steps. On the other hand, hardware implementation of lossless compression algorithm accelerates real time tasks such as online diagnosis and telemedicine. Lossless JPEG, JPEG-LS and lossless version of JPEG2000 are few well known methods for lossless compression. This paper is focused on the...
Maximizing the accrued utility of an isochronal soft real-time system sing genetic algorithms
, Article Proceedings of the 2009 8th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2009, 1 June 2009 through 3 June 2009, Shanghai ; 2009 , Pages 65-69 ; 9780769536415 (ISBN) ; Seifzadeh, H ; Kargahi, M ; Movaghar, A ; Lotfi, S ; IEEE Computer Society; International Association for; Computer and Information Science, ACIS ; Sharif University of Technology
2009
Abstract
Many real-time systems are in fact isochronal, where both early and late responses are harmful to the system or lead to lower quality of service. Real-time task scheduling problems proved that are NP-hard problems. Therefore, it is necessary to apply a heuristic search strategy on these problems. In this paper, a multi-objective genetic algorithm is proposed for static task scheduling in non-overloaded isochronal soft real-time systems. Its objective is to maximize the total utility of jobs. Simulation results indicate that genetic algorithm could be a suitable heuristic search strategy for task scheduling in isochronal soft real-time systems. © 2009 IEEE