Structural health monitoring system for bridges based on skin-like sensor

Loupos, Konstantinos; Damigos, Yannis; Amditis, Angelos; Gerhard, Reimund; Rychkov, Dmitry; Wirges, Werner; Schulze, Manuel; Lenas, Sotiris-Angelos; Chatziandreoglou, Christos; Malliou, Christina M.; Tsaoussidis, Vassilis; Brady, Ken; Frankenstein, B.

doi:10.1088/1757-899x/236/1/012100

Cited by 6 publications

(2 citation statements)

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“…The DTN adopts a store-and-forward architecture that offers data communication in an unstable network where there is no end-to-end path; thus, the DTN is promising for some applications such as disaster-tolerant networks 20,21) and an WSN for the structural health monitoring of civil infrastructures such as bridges. 7) Figure 6 illustrates a target DTN system in this work. The system consists of three DTN nodes.…”

Section: Dtn System Simulatormentioning

confidence: 99%

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Soft-error tolerance and energy consumption evaluation of embedded computer with magnetic random access memory in practical systems using computer simulations

Nebashi

Sakimura

Sugibayashi

2017

Jpn. J. Appl. Phys.

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We evaluated the soft-error tolerance and energy consumption of an embedded computer with magnetic random access memory (MRAM) using two computer simulators. One is a central processing unit (CPU) simulator of a typical embedded computer system. We simulated the radiation-induced single-event-upset (SEU) probability in a spin-transfer-torque MRAM cell and also the failure rate of a typical embedded computer due to its main memory SEU error. The other is a delay tolerant network (DTN) system simulator. It simulates the power dissipation of wireless sensor network nodes of the system using a revised CPU simulator and a network simulator. We demonstrated that the SEU effect on the embedded computer with 1 Gbit MRAM-based working memory is less than 1 failure in time (FIT). We also demonstrated that the energy consumption of the DTN sensor node with MRAM-based working memory can be reduced to 1/11. These results indicate that MRAM-based working memory enhances the disaster tolerance of embedded computers.

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Section: Dtn System Simulatormentioning

confidence: 99%

“…DTN applications include a wireless sensor network (WSN). 7) We simulated the power dissipation of WSN nodes of the DTN system using a revised CPU simulator and a network simulator.…”

Section: Introductionmentioning

confidence: 99%