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Record W2165399904 · doi:10.1109/mue.2008.55

ACE: Active Emergence Call Service System for u-Lifecare

2008· article· en· W2165399904 on OpenAlexaff
Won-Hee Han, Eun-Ha Song, Laurence Yang, Jong-Hyuk Park, Young‐Sik Jeong

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInternet of Things and Social Network Interactions
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsComputer scienceFeature (linguistics)Service (business)Short Message ServiceThe InternetComputer securityComputer networkWorld Wide WebBusiness

Abstract

fetched live from OpenAlex

This paper establishes ACE system that supports active emergency call service. ACE system is physically composed of E-device (emergency mobile device) for the handicapped, single elderly, and children, and E-server (emergency server) with realtime monitoring management feature. E-device reports emergency situation to emergency institutions and the user's guardian through Internet or CDMA. Therefore, E-device is devised to be affordable, light- weighted, and small enough for the minorities including the handicapped, the elders, and children could carry around. E-server is developed as a comprehensive control system which provides realtime monitoring feature in order to manage E-devices efficiently and guarantee quality service.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.018
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.007

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 head0.026
GPT teacher head0.269
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

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 designNot applicable
Domainnot available
GenreMethods

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

Citations1
Published2008
Admission routes1
Has abstractyes

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