DocumentCode :
3034726
Title :
Adaptive hardware-software co-design platform for fast prototyping of embedded systems
Author :
Oniga, Stefan ; Tisan, Alin ; Lung, Claudiu ; Buchman, Attila ; Orha, Ioan
Author_Institution :
Electron. & Comput. Eng. Dept., North Univ., Baia Mare, Romania
fYear :
2010
fDate :
20-22 May 2010
Firstpage :
1004
Lastpage :
1009
Abstract :
This paper presents the hardware-software co-design platform based on FPGA developed for fast prototyping of embedded systems using hardware modules that can be easily connected and “driver” modules that can manage I/O devices and sensors basic behavior. Having this framework, adding of a new I/O peripheral needs only design and synthesis of an application specific VHDL or software module. Using neural networks (NN) to add learning capabilities and adaptive behavior is essential for an intelligent system and the use of FPGA is an important feature in terms of their hardware implementation. The designed architecture allows the insertion of intelligent interface based on neural networks created with this type of modules. This platform is based on low cost general purpose FPGA boards without need for hardware design.
Keywords :
embedded systems; hardware description languages; hardware-software codesign; neural nets; I/O peripheral; adaptive behavior; adaptive hardware-software co-design platform; application specific VHDL; embedded systems fast prototyping; intelligent system; learning capability; neural networks; Embedded system; Field programmable gate arrays; Hardware; Intelligent networks; Intelligent sensors; Network synthesis; Neural networks; Prototypes; Sensor systems; Software prototyping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optimization of Electrical and Electronic Equipment (OPTIM), 2010 12th International Conference on
Conference_Location :
Basov
ISSN :
1842-0133
Print_ISBN :
978-1-4244-7019-8
Type :
conf
DOI :
10.1109/OPTIM.2010.5510516
Filename :
5510516
Link To Document :
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