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The Essence of Smart Homes

2016· book-chapter· en· W2489543997 on OpenAlex

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

VenueAdvances in media, entertainment and the arts (AMEA) book series · 2016
Typebook-chapter
Languageen
FieldEngineering
TopicSmart Cities and Technologies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsKey (lock)Home automationArchitectural engineeringSmart citySmart environmentQuality (philosophy)Computer securityBusinessEngineeringComputer scienceInternet privacyRisk analysis (engineering)Internet of ThingsTelecommunications

Abstract

fetched live from OpenAlex

Smart homes have been predominantly pointed as one of the key constituents of intelligent environments. These are residential units substantially integrated with a communicating network of sensors and intelligent systems based on the application of new design initiatives and creative technologies. This study provides a holistic overview on the essence of smart homes besides demonstrating their current status, benefits and future directions. The study reveals that smart homes embrace significant potentials towards achieving comfort, security, independent lifestyle and enhanced quality of life. Findings urge the necessity to focus on further exploration of the social and environmental benefits derived from the application of creative technologies in smart homes. The study concludes that smart homes play a fundamental role in shaping the future cities. Finally, the study identifies a research gap indicating that there has been less consideration towards linking the fundamental potentials of smart homes to the overall performance and key indicators of smart cities.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.827
Threshold uncertainty score0.694

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 studies0.0000.002
Scholarly communication0.0000.001
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 head0.004
GPT teacher head0.188
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