MétaCan
Menu
Back to cohort
Record W2324134226 · doi:10.1149/06001.0841ecst

A Novel Way of Controlling External Devices on DUT Board Synchronizing with the Test Sequencer

2014· article· en· W2324134226 on OpenAlexfundno aff
Tianli Hu

Bibliographic record

VenueECS Transactions · 2014
Typearticle
Languageen
FieldEngineering
TopicPower Systems and Technologies
Canadian institutionsnot available
FundersUniversity of Toronto Scarborough
KeywordsSynchronizingFirmwareComputer scienceSynchronization (alternating current)Line (geometry)Computer hardwareReading (process)Embedded systemProcess (computing)Real-time computingOperating systemTelecommunications

Abstract

fetched live from OpenAlex

Advantest V93000 tester provides the utility lines to allow users to control the external devices on a DUT board, such as relays, EEPROMs, and indicators. Users can change the utility line setting by sending the dedicated firmware commands. However, because the sequencer breaks when the utility lines act, the test execution is interrupted and the test time increases considerately. To solve this issue, V93000 tester provides a new way to control utility lines without breaking the sequencer. Users can use utility lines to operate the external devices, synchronizing with the sequencer, at the cost of four additional digital pins. This paper introduces the concept of test sequencer synchronization. It also describes the process of switching and reading the utility line synchronizing with the sequencer. Finally the result is provided that the proposed procedure works effectively and the cost of test time is reduced greatly.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.194
Teacher spread0.184 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueECS TransactionsSame topicPower Systems and TechnologiesFrench-language works237,207