From Image to Simulation: An ANN-based Automatic Circuit Netlist Generator (Img2Sim)

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dc.authorscopusid57815756700
dc.authorscopusid57816549400
dc.authorscopusid57311107000
dc.authorscopusid24470047300
dc.authorscopusid36633816300
dc.contributor.authorSertdemir, A.E.
dc.contributor.authorBesenk, M.
dc.contributor.authorDalyan, T.
dc.contributor.authorGokdel, Y.D.
dc.contributor.authorAfacan, E.
dc.date.accessioned2024-07-18T20:17:11Z
dc.date.available2024-07-18T20:17:11Z
dc.date.issued2022
dc.descriptionet al.;Infineon;INVENTVM;Power Integrations;STMicroeletronics;Synopsysen_US
dc.description18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods, and Applications to Circuit Design, SMACD 2022 -- 12 June 2022 through 15 June 2022 -- -- 180847en_US
dc.description.abstractThis study proposes an Artificial Neural Network (ANN) based netlist generator: Img2Sim. The tool acquires an image of an electronic circuit, classifies the existing circuit elements, including active components (MOSFET, BJT, Op-Amp, etc.), with at least 98% accuracy, and decides the circuit topology and the connections with over 90% accuracy through a rule-based algorithm. Finally, it automatically yields a simulation-ready netlist for the circuit of concern. It is worth noting that some CAD tools have been developed before; however, they have mostly focused on recognizing the circuit elements only and, to our best knowledge, Img2Sim is the first CAD tool that creates the entire netlist for a given circuit in image format. © 2022 IEEE.en_US
dc.identifier.doi10.1109/SMACD55068.2022.9816254
dc.identifier.isbn9781665467032
dc.identifier.scopus2-s2.0-85134737254en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/SMACD55068.2022.9816254
dc.identifier.urihttps://hdl.handle.net/11411/6435
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings - 2022 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods, and Applications to Circuit Design, SMACD 2022en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectCircuit Simulationen_US
dc.subjectComputer Visionen_US
dc.subjectImage Processingen_US
dc.subjectObject Detectionen_US
dc.subjectComputer Aided Designen_US
dc.subjectComputer Visionen_US
dc.subjectNeural Networksen_US
dc.subjectObject Detectionen_US
dc.subjectTiming Circuitsen_US
dc.subjectActive Componentsen_US
dc.subjectAutomatic Circuitsen_US
dc.subjectCad Toolen_US
dc.subjectCircuit Elementsen_US
dc.subjectElectronics Circuitsen_US
dc.subjectImages Processingen_US
dc.subjectMosfetsen_US
dc.subjectNetlisten_US
dc.subjectNetwork-Baseden_US
dc.subjectObjects Detectionen_US
dc.subjectCircuit Simulationen_US
dc.titleFrom Image to Simulation: An ANN-based Automatic Circuit Netlist Generator (Img2Sim)
dc.typeConference Object

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