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Record W2983111368 · doi:10.1109/19.850413

Test-set embedding based on width compression for mixed-mode BIST

2000· article· en· W2983111368 on OpenAlex
Krishnendu Chakrabarty, S.R. Das

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Instrumentation and Measurement · 2000
Typearticle
Languageen
FieldComputer Science
TopicVLSI and Analog Circuit Testing
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBuilt-in self-testBenchmark (surveying)Test compressionAutomatic test pattern generationTest setEmbeddingComputer scienceElectronic circuitSet (abstract data type)Generator (circuit theory)Fault coverageAlgorithmEmbedded systemEngineeringPower (physics)Electrical engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

We present a new test generator circuit (TGC) for mixed-mode built-in self-test (BIST) that embeds a precomputed deterministic test set T/sub D/ in a longer sequence. The design method employs width compression based on the property of d-compatibles. To demonstrate the feasibility of the TGC design methods, we present experimental data for single stuck-at test sets for the ISCAS 85 circuits and full-scan versions of the ISCAS 89 benchmark circuits. We also achieve significant improvement over another recently-proposed mixed-mode TGC design scheme for BIST.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.977
Threshold uncertainty score0.613

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.292
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it