A novel automated site survey system
Bibliographic record
Abstract
Evaluating the propagation of wireless signals in and indoor environment has become important for the design of wireless local area networks (WLANs) and for predicting cell phone coverage within buildings. This paper describes a robot used to measure the field strength as a function of position along a path in an indoor scenario. The robot is a platform that follows tape applied to the floor, and carries a battery-operated transmitter. The signal is received by a sleeve dipole antenna on a tripod and fed to a spectrum analyzer. A computer running a LabVIEW program reads the signal strength at each point and then commands the robot to move to the next point, using a 900-MHz wireless link. There are no cables interconnecting the robot and the receiving system. Because the system is fully automated, it can measure 1000 data points along a path relatively quickly. Sample results are presented for the field along a hallway centerline at 2.361 GHz, with a point spacing of 2 cm.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".