Applications of Wireless Sensor Networks and RFID in a Smart Home Environment
Why this work is in the frame
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Bibliographic record
Abstract
With the aging population and increased need to care for the elderly there are fewer of the younger generation to administer the necessary care and supervision. This condition is one of the reasons many researchers devote their time in evolving smart homes. These homes offer the occupant(s) a level of convenience not seen in traditional homes by using technology to create an environment that is aware of the activities taking place within it. The focus of this paper is on the integration of radio frequency identification (RFID) and wireless sensor network (WSN) in smart homes and applications of this system such as identifying a caregiver who enters the home. In the following work we present an architecture consisting of RFID, a WSN to identify motion within an environment and who is moving as well as several useful applications which take advantage of this information.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it