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Báo cáo hóa học: " The Center for Advanced Computer Studies, University of Louisiana at Lafayette"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: The Center for Advanced Computer Studies, University of Louisiana at Lafayette | EURASIP Journal on Applied Signal Processing 2005 7 989-992 2005 Hindawi Publishing Corporation Editorial Magdy A. Bayoumi The Center for Advanced Computer Studies University of Louisiana at Lafayette LA 70504-4330 USA Email mbayoumi@cacs.louisiana.edu Bertrand Zavidovique Institut d Electronique Fondamentale Universite Paris-Sud 91405 Orsay Cedex France Email betrand.zavidovique@ief.u-psud.fr Perception can have different meanings to different groups. It has a wide range of connotations from sensing to understanding to decision making. Perception is a basic fundamental core in many systems such as autonomous systems and vision-based applications. A typical scenario of a perception system is as follows data are asserted by sensors visual auditory or others to be converted into corresponding signals. Common operations at this stage are noise removal transcoding compression and so forth. Specific features can be extracted in view of more semantic compression and then object recognition can take place. The main requirements of such perception systems include i intelligent and computational sensors ii perception and sensing algorithms iii vision-based algorithms for example collision avoidance trading autonomous motion and so forth iv highly parallel architecture v adaptive and configurable hardware vi software environment vii vision computational kernels for example decisionbased tasks mixed-based functions region-based modules and so forth. Perception systems are highly dependent on technology. From sensors technologies such as infrared carbon tubes MEMS etc. to integrated circuit technologies CMOS submicron FPGA realization of the perception system is affected in capabilities cost and performance. The main challenge is that these systems require integration of several different technologies. Moreover current technologies do not allow supporting all semantic levels of data and information processing. Available systems at present times are a mixture of hardware .