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Record W4387645893 · doi:10.23977/acss.2023.070807

A Modular Home Automation System Based on IoT Technology

2023· article· en· W4387645893 on OpenAlexvenueno aff
Qizhang Deng

Bibliographic record

VenueAdvances in Computer Signals and Systems · 2023
Typearticle
Languageen
FieldEngineering
TopicIoT-based Smart Home Systems
Canadian institutionsnot available
Fundersnot available
KeywordsMQTTArduinoHome automationHome securityModular designWirelessAutomationInternet of ThingsComputer scienceKey (lock)The InternetEmbedded systemTelecommunicationsEngineeringComputer securityWorld Wide WebOperating system

Abstract

fetched live from OpenAlex

With the continuous development of the information society, wireless networks have appeared in daily life on a large scale. The necessities of the modern human lifestyle can be answered and the quality of life advanced through wireless home automation, and it will definitely change people's family lifestyle. The thesis explores the possibility of using cheap IoT (Internet of Things) components of the Arduino class in a wireless environment home automation system: a demonstration system developed in this thesis uses the ESP8266 boards to serve two rooms in a house, with a clear path to extend the system to a useful size. Apart from easy installation and immediate extension possibility, the equal treatment of same-room and other-room operation is the key component of the suggested method. The design uses the MQTT protocol running on ESP8266 boards. Power plugs, lighting systems, temperature and humidity sensors, smoking, gas, and fire detectors, emergency and security systems, as well as the expansion of basic remote control ability, can all be controlled locally or remotely by the system.

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 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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.007
GPT teacher head0.213
Teacher spread0.206 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2023
Admission routes1
Has abstractyes

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