Simulation of smart homes controlled with intelligent plugs
Bibliographic record
Abstract
Abstract corregit\nThis is a research project in the field of Smart Homes with the aim to develop a Smart Home Environment using Multi-Agent system negotiation and Rule-Based protocols. Thesimulation will be developed using the program Netbeans (Java) and Prolog. It will permit to control the status of the devices via Intelligent Plugs and display alerts. An Intelligent Plug is an appliance that goes between the plug and the socket, and the user can switch on and off using Wi-Fi connection. The objective is to reduce the power consumption of household appliances using intelligent-adaptive algorithms, to develop a user-friendly interface and also to gain a better command over them. The developed application will permit the interaction of the user with it, enhancing the user’s comfort at its finest. Once the expert system has been implemented, a Multi-Agent environment will be developed involving five different houses. It will have two different negotiation protocols: one to control the heat of the five houses and the other to control the total energy consumption of the neighbourhood.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".