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