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We present a practical, systematical method for the evaluation of the soft error rate (SER) of microelectronic devices. Existing methodologies, practices and tools are integrated in a common approach while highlighting the need for specific data or tools. The showcased method is particularly adapted for evaluating the SER of very complex microelectronic devices by engineers confronted to increasingly...
Cryptographic devices are recently implemented with different countermeasures against side channel attacks and fault analysis. Moreover, some usual testing techniques, such as scan chains, are not allowed or restricted for security requirements. In this paper, we analyze the impact that error detecting schemes have on the testability of an implementation of the advanced encryption standard, in particular...
This document presents a compilation of results from tests performed by iRoC Technologies on SER induced by alpha particles on SRAM memories for technology nodes from 180 nm to 65 nm. The aim of this study is to establish the variation of sensitivity with technology node for SEU and MCU, and to analyze the possible influence of different designs and technological parameters at a given technology node.
Soft errors caused by ionizing radiation have emerged as a major concern for current generation of CMOS technologies and the trend is expected to get worse. Soft error rate (SER) measurement, expressed as number of failures encountered per billion hours of device operation, is time consuming and involves significant test cost. The cost stems from having to connect a device-under-test to a tester for...
Advances in micromachining technology can facilitate the integration of SAW (Surface Acoustic Wave) devices and CMOS circuitry on IC scale substrate for Monolithic fabrication. The optimal design and performance of these filters can be reached by using new Smart materials. The key component in the structure of the SAW device is the piezoelectric materials used which depends mainly on some important...
This paper introduce a type-2 fuzzy function system for uncertainty modeling using evolutionary algorithms (ET2FF). The type-1 fuzzy inference systems (FISs) with fuzzy functions, which do not entail if...then rule bases, have demonstrated better performance compared to traditional FIS. Nonetheless, the performance of these approaches is usually affected by their uncertain parameters. The proposed...
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