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Record W2473554135 · doi:10.1504/ijmtm.2016.10000021

Process specification language for management of MEMS device development - a step towards standardisation

2016· article· en· W2473554135 on OpenAlex
John Doucette, Walied A. Moussa, Tetsuhei Nakashima Paniagua

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

VenueInternational Journal of Manufacturing Technology and Management · 2016
Typearticle
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTerminologyComputer scienceSystems engineeringSoftware engineeringProcess (computing)XMLAbstractionMarkup languageStandardizationSpecification languageEngineeringManufacturing engineeringProgramming languageWorld Wide Web

Abstract

fetched live from OpenAlex

The micro-electro-mechanical systems (MEMS) field has transferred many products from emergent to established technologies in the commercial world. However, many products remain under development for significant lengths of time, facing various challenges along the way. One of the most critical challenges is the lack of standardised terminology for process specification. This paper provides a foundation for formally describing the set of activities related to managing the manufacturing processes used by the MEMS community. First, we develop new taxonomic levels of abstraction for MEMS processes. We then use logic foundations provided in international standard ISO-18621-1 to develop a methodology that allows designers and product developers to remove ambiguities and misconceptions when exchanging information about MEMS manufacturing processes. A case study is presented where our methodology is applied to generate Extensive Markup Language (XML) code to capture the processes' structure and critical information.

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 score0.990
Threshold uncertainty score0.346

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 head0.010
GPT teacher head0.254
Teacher spread0.243 · 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