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Record W2151156955 · doi:10.1109/wescan.1995.493959

A fuzzy logic and rough sets controller for HVAC systems

2002· article· en· W2151156955 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicFuzzy Logic and Control Systems
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsHVACAir conditioningSet pointControl theory (sociology)Fan coil unitController (irrigation)Fuzzy logicThermostatOpen-loop controllerFuzzy control systemControl engineeringComputer scienceControl systemDuct (anatomy)AirflowTemperature controlEngineeringControl (management)Artificial intelligenceMechanical engineeringElectrical engineering

Abstract

fetched live from OpenAlex

This paper describes an HVAC (heating, ventilating and air conditioning) system controller which employs a control algorithm using either fuzzy logic reasoning or rough set theory. The controller deduces the appropriate control outputs from sensor readings. The system is capable of controlling temperature and humidity. To maintain temperature at the reference point, the controller adjusts the flow of hot water into a heating coil for heating operation and the flow of chilled air through an air duct for cooling operation. To control humidity, the controller turns on and off a humidifier.

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: Empirical · Consensus signal: none
Teacher disagreement score0.985
Threshold uncertainty score0.430

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 head0.035
GPT teacher head0.227
Teacher spread0.192 · 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

Quick stats

Citations30
Published2002
Admission routes1
Has abstractyes

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