Architectural improvements and FPGA implementation of a multimodel neuroprocessor

Mihu, I.Z.; Caprita, Horia V.

doi:10.1109/iconip.2002.1198975

Cited by 1 publication

(1 citation statement)

References 4 publications

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“…Moreover, Vivado allows user to develop new logical blocks (user customized) by supporting VHDL and Verilog hardware description languages. After the design phase, the user has the possibility to simulate the design, analyse the results, synthesize it into FPGA, and finally run it directly on an FPGA device [29], [30]. The results presented in this paper were obtained using a Xilinx Spartan 7 FPGA device which is the highest density device in the Spartan-7 family [31].…”

Section: B Detailed Design Of Hardware E2e Modulementioning

confidence: 99%

Improvement of Automotive Sensors by Migrating AUTOSAR End-to-End Communication Protection Library into Hardware

Caprita¹,

Selişteanu

2022

ELEKTRON ELEKTROTECH

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This paper explores new methods to increase the level of safety of data transfer between sensors and electronic control units (ECUs) in automotive communication. A new model of basic sensors to be used in automotive electronics is proposed. This model contains hardware modules that implement the end-to-end communication protection (E2E) mechanism, as defined by the Automotive Open System Architecture (AUTOSAR) standard. By adding this feature inside the sensors, it is possible that, in addition to increasing the safety level, these sensors can be directly connected to the network ECUs via standard communication buses (e.g., Local Interconnect Network (LIN), Controller Area Network (CAN), Flexray, etc.). This paper describes the model, design, and mapping (in a Field Programmable Gate Array device (FPGA)) of the hardware E2E module capable of generating the Cyclic Redundancy Code (CRC) and counter signal for a customized message. This message represents the output of the new sensor E2E module used in a safety communication as requested by the automotive E2E standard. The model is validated also by comparing the data output of the E2E hardware with the data output of the AUTOSAR software E2E library. Finally, future needs and directions are suggested in this area.

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Section: B Detailed Design Of Hardware E2e Modulementioning

confidence: 99%