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Record W4200497072 · doi:10.52924/dkma3371

A Novel Fully Controllable Rotary Switch for Electrical Installation in Buildings

2021· article· en· W4200497072 on OpenAlexaff
Claude Ziad El‐Bayeh, Mohamed Zellagui, Brahim Brahmi

Bibliographic record

VenueENERGY ENVIRONMENT & STORAGE · 2021
Typearticle
Languageen
FieldEngineering
TopicIoT-based Smart Home Systems
Canadian institutionsConcordia University
Fundersnot available
KeywordsInstallationControl (management)Computer scienceElectrical loadBlocking (statistics)Automotive engineeringElectrical engineeringEngineeringComputer networkVoltage

Abstract

fetched live from OpenAlex

In an electrical installation in buildings, electromechanical switches are mostly used to turn on and off a load. However, sometimes there are two or more switches in the same circuit intended to control the same load. Thus, a conflict can happen between multi-users who are trying to overtake the control of the load (such as turning it on or off). To solve the problem, this paper proposes a novel switch called “Fully Controllable Rotary Switch” (FCRS) in which it can fully control not only the load but also other switches by blocking them or giving them limited or full access over the electrical circuit and the loads. For validation purposes, the utilization of FCRS in buildings is compared to the traditional switches under the same functionality and conditions. Results show that FCRS has the ability to control many electrical loads simultaneously, control other switches in the circuit, increase the satisfaction, security, and privacy of the users. Finally, it reduces the conflict between multi-users and the investment cost by avoiding installing additional switches and protection devices.

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)0.000
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.005
GPT teacher head0.167
Teacher spread0.162 · 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
Published2021
Admission routes1
Has abstractyes

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Same venueENERGY ENVIRONMENT & STORAGESame topicIoT-based Smart Home SystemsFrench-language works237,207