Static random access memory (SRAM) is a high-speed memory, which will produce performance degradation with the increase of use time, and the current research mostly analyzes its degradation process from an experimental point of view, but the correlation between basic circuits and components is insufficient. Starting from the physical degradation effect of transistors in SRAM unit circuits, this paper simulates the circuit-level characteristics of SRAM unit circuits to simulate their performance degradation, forming a complete research system from principle to phenomenon, and finding a new path for studying the circuit-level health monitoring method of SRAM performance degradation.
The airborne system of aircraft is a typical cross-linked system with complex functions, the failure of the airborne system is usually affected and restricted by a variety of factors, and these factors are often not independent of each other, and the same failure may have a variety of different causes. Therefore, the current research needs to pay special attention to relevant faults. The research of identifying relevant faults can avoid the maintenance system to record and display all faults and help solve the problem of difficult fault location. In this paper, based on FMEA table analysis and fault Petri net theory, a fuzzy fault Petri net model based on FMEA is constructed. At the end of the paper, the LRU scanning unit of airborne radar is taken as an example to analyze the application of fault propagation path detection algorithm in actual airborne system fault detection.
To manipulate on-chip mid-IR signals, it is pivotal to construct a waveguide with subwavelength energy confinement. However, a deep subwavelength optical waveguide always suffers from high signal crosstalk, resulting in an inevitable coupling loss of multi-channel communication. To solve this problem, in this paper, a mid-IR hybrid waveguide which is composed of a graphene/hexagonal boron nitride (hBN) structure and a dielectric waveguide, is designed to realize a strongly enhanced light-matter interaction, accompanied by a low crosstalk transmission. The surface-phonon-plasmon-polariton mode generated by the graphene-hBN is coupled to a nanowire dielectric mode to form a hybrid guiding mode. Benefiting from this hybrid mode, the results show that it is possible to minimize the crosstalk of two parallel waveguides by reducing the width of the graphene-hexagonal hBN structure even if the waveguide separation length is at the nanoscale, thereby enabling low crosstalk optical transmission. Our designed approach opens the door for possible uses in nanophotonic devices such as amplitude equalizers, mode multiplexers, and wavelength-selective switches in optical communication systems.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.