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Development framework for hardware implementation of digital neural network used in smart sensors [articol]

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dc.contributor.author Buchman, Attila
dc.contributor.author Oniga, Ştefan
dc.date.accessioned 2021-12-09T12:57:44Z
dc.date.available 2021-12-09T12:57:44Z
dc.date.issued 2004
dc.identifier.citation Buchman, Attila. Development framework for hardware implementation of digital neural network used in smart sensors. Timişoara: Editura Politehnica, 2004 en_US
dc.identifier.uri http://primo.upt.ro:1701/primo-explore/search?query=any,contains,Development%20framework%20for%20hardware%20implementation%20of%20digital%20neural%20network%20used%20in%20smart%20sensors&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo
dc.description.abstract This paper presents a development platform for the implementation of digital neural network used in Sensor System for an Artificial Hand. The use of neural networks to add learning and adaptive behavior to smart sensors is essential and the FPGA implementation is an easy an attractive way for hardware implementation. This platform was developed in order to provide a fast prototyping environment using reconfigurable devices (FPGA) and a microcontroller. The microcontroller is used to implement the Data Acquisition System and to adapt signal sensors to neural network input requirements. The reconfigurable device (XC2S50 Xilinx) is used to implement the neural networks and other logic blocks of the same application. The System Generator tool for Simulink allow the easy generation of hardware Description Language (HDL) code that can be synthesized for implementation in the Xilinx family of FPGA devices. The developed framework allows device communication with a PC in order, to perform the offline learning task or, to transfer data for analysis. Software is designed to manage the communication protocol with Matlab via parallel port. en_US
dc.language.iso en en_US
dc.publisher Timişoara : Editura Politehnica en_US
dc.relation.ispartofseries Buletinul ştiinţific al Universităţii „Politehnica” din Timişoara, România. Seria electronică şi telecomunicaţii, Tom 49(63), fasc. 1 (2004), p. 232-235
dc.subject Data acquisition system en_US
dc.subject Field Programmable Gate Arrays en_US
dc.subject Neural networks en_US
dc.subject Smart en_US
dc.subject Adaptive en_US
dc.subject Learning en_US
dc.title Development framework for hardware implementation of digital neural network used in smart sensors [articol] en_US
dc.type Article en_US


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