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Enregistrement W4309468518 · doi:10.1115/1.4056284

Special Issue: Manufacturing Science Engineering Conference 2022

2022· article· en· W4309468518 sur OpenAlexaboutno aff
Yong Chen, Albert J. Shih

Notice bibliographique

RevueJournal of Manufacturing Science and Engineering · 2022
Typearticle
Langueen
DomaineEngineering
ThématiqueDigital Transformation in Industry
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésChinaEngineeringLibrary scienceGovernment (linguistics)Manufacturing engineeringPolitical scienceComputer scienceLaw

Résumé

récupéré en direct d'OpenAlex

The 17th ASME International Manufacturing Science and Engineering Conference (MSEC 2022), sponsored by the Manufacturing Engineering Division (MED) of ASME, was held from June 27, 2022 to July 1, 2022, in West Lafayette, IN. MSEC 2022 received 263 submissions. After rigorous peer review, 229 technical papers were accepted for publication. The technical papers had global representation, with authors from the US (56%), India (13%), China (11%), Korea (4%), Japan (3%), Canada (3%), Germany (2%), and several other countries from Asia, Europe, and South America. Among the accepted technical papers, MSEC symposium organizers nominated 56 candidate papers to be fast-tracked to the ASME Journal of Manufacturing Science and Engineering (JMSE). All the candidate papers, together with their reviews, were sent to the JMSE Editor-in-Chief for a new round of journal paper review. The JMSE Editor-in-Chief invited 21 papers, including two state-of-the-art review papers, to be further reviewed by the journal. A total of 15 top MSEC papers received positive journal reviews and were compiled and published in this JMSE Special Issue on MSEC 2022.The papers selected for this special issue cover a wide range of topics. They come from seven technical tracks of the ASME MED, including Additive Manufacturing, Biomanufacturing, Life Cycle Engineering, Manufacturing Equipment and Automation, Manufacturing Processes, Manufacturing Systems, and Nano/Micro/Meso Manufacturing. As a leading international conference held annually on manufacturing technology, MSEC acts as a global bridge between industries, government laboratories, and academic institutions. This Special Issue showcases recent manufacturing research advancements presented in MSEC 2022. This Special Issue also provides a platform for researchers and practitioners to widely disseminate their research findings and innovative practices that may inspire future scientific and technological breakthroughs.We would like to thank all the symposium organizers of MSEC 2022 for their dedicated management of the symposia and for guarding the quality of the papers to be fast-tracked, which has contributed a great deal to the success of this special issue. We would also like to thank all the reviewers of the paper submissions for their detailed suggestions to improve the papers’ quality. Special thanks are due to the ASME MED Executive and Technical Committees and the ASME staff, especially Lori Lee and Emily Bosco, throughout the paper review and production processes. Their outstanding contributions in managing the submitted technical papers ensure the high-quality publication of this special issue for MSEC 2022.JMSE seeks close partnerships with MED and MSEC to serve our manufacturing community. This Special Issue marks a milestone in which top papers submitted to MSEC are selected, reviewed, and published in a Special Issue in JMSE. Starting in MSEC 2023, papers accepted by JMSE will be able to present in MSEC. This will open the opportunity for colleagues in our manufacturing community to first submit their top research papers to JMSE and then disseminate them in a presentation to our manufacturing community in MSEC.We hope this Special Issue marks a small but important step for JMSE to connect with MED, MSEC, and colleagues in our manufacturing community. JMSE seeks top research papers from our colleagues and strives to serve our community as a platform for timely publication of high-impact research work. JMSE has three upcoming Special Issues in 2023 on Human-Robot Collaboration for Futuristic Human-Centric Smart Manufacturing, Semiconductor Manufacturing, and State-of-the-Art in European Manufacturing Research. JMSE is changing. We welcome your ideas and look forward to the discussion on how we may better connect MED, MSEC, and JMSE.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,341
Score d'incertitude au seuil0,940

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,006
Méta-épidémiologie (sens strict)0,0040,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0050,002
Études des sciences et des technologies0,0030,001
Communication savante0,0130,005
Science ouverte0,0030,003
Intégrité de la recherche0,0060,005
Charge utile insuffisante (le modèle a refusé de juger)0,3410,226

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,011
Tête enseignante GPT0,203
Écart entre enseignants0,193 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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