Bibliographic record
Abstract
Coupled wave devices (CWDs) were developed as an alternative to leaky coaxial cables for use in perimeter guided radar detection systems. Leaky coaxial cable systems, when buried in the ground, provide a covert and all-terrain line of perimeter detection. When compared with a continuously radiating leaky coaxial cable, a CWD provides a discrete launching and reception of radio frequency (RF) "sensing" signals along a simple wire conductor. CWD sensors provide many benefits for above ground applications due to their inherent coupling efficiency, simplicity and uniform detection. Repels is the initial product that was developed based on this technology. It is a portable, rapid deployment line sensor that can be erected quickly over uneven terrain to provide a security perimeter. This paper briefly reviews the technical basis of this unique guided radar approach and discusses the technical advances. Since the introduction of the first sensor, several variations have been developed and/or introduced. S-Line and Fensor are two of these CWD-based sensors. S-Line is a permanent wall or roof-top line sensor that detects attempts at crossing an existing defined perimeter. It is able to provide detection with a single sensor over the complex three-dimensional geometry typical of a building facade. Fensor is a CWD-based sensor which provides its own inherent barrier. The perimeter detection capability of Fensor is built into an aesthetically pleasing, non-conductive fence structure suitable for new construction. Technical details, test site, and initial operational site experience for each of these alternatives are discussed.
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 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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 0.022 |
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".