DC Field | Value | Language |
dc.contributor.author | Cheremisinova, L. | - |
dc.contributor.author | Cheremisinov, D. | - |
dc.contributor.author | Черемисинова, Л. Д. | - |
dc.contributor.author | Черемисинов, Д. И. | - |
dc.date.accessioned | 2021-11-04T07:12:32Z | - |
dc.date.available | 2021-11-04T07:12:32Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Cheremisinova, L. Graph-Based Recognition of High-Level Structures in Transistor Circuits / Cheremisinova L., Cheremisinov D. // Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) : Proceedings of the 15th International Conference, 21–24 Sept. 2021, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2021. – P. 14–18. | ru_RU |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/45784 | - |
dc.description.abstract | The problem of converting a flat transistor circuit into a hierarchical circuit of logical gatesis considered. The problem arises in layout versus schematic verification and reverse engineering of integrated circuits. The offered subcircuit recognition algorithm collects transistors into gates without using any predefined cell library. Graph-based methods are proposed for solving some key problems of subcircuit (CMOS gates) recognizing and logical network extraction. The presented graph methods have been implemented in C++ as a part of a decompilation program, which was tested using practical transistorlevel circuits. | ru_RU |
dc.language.iso | en | ru_RU |
dc.publisher | UIIP NASB | ru_RU |
dc.subject | материалы конференций | ru_RU |
dc.subject | conference proceedings | ru_RU |
dc.subject | VLSI layout verification | ru_RU |
dc.subject | reverse engineering | ru_RU |
dc.subject | subcircuit extraction | ru_RU |
dc.subject | graph matching | ru_RU |
dc.title | Graph-Based Recognition of High-Level Structures in Transistor Circuits | ru_RU |
dc.type | Статья | ru_RU |
Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021)
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