Repels: a new rapid deployment guided radar sensor
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.
Bibliographic record
Abstract
REPELS (Rapidly Extendible Perimeter Line sensor) is a new concept in guided radar perimeter security introduced in 1988. it utilizes a technology termed 'coupled wave device' (CWD) to transfer detection features currently available only to leaky cable buried line sensors, to the above ground, rapid deployment, sensor requirement. Thus, in less than 20 minutes, a person can set up a sensor that establishes a 100-metre long detection barrier (several metres high) about a resource. Like buried line guided radar sensors it provides a terrain-following detection zone and, by operating at VHF frequencies, it also inherently optimizes detection of humans but discriminates against small nuisance targets. This paper addresses some of the physics behind the CWD technology on which the sensor is based, and contrasts this development with other sensor alternatives, including leaky cable sensors. Also discussed is the hardware design of the sensor, including both the electronics and sensor elements. Finally, the paper discusses deployment aspects of the sensor and initial test results for various intrusion scenarios. Typical applications are security for mobile resources such as aircraft and vehicles, dignitary (VIP) security, or temporary stand-in where other sensor zones have failed. Included in the test results is the sensor response to typical human body orientations and to small animals. The REPELS sensor provides a new alternative to allow rapid deployment secur ity for mobile resources and irregular sites.
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 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