Bibliographic record
Abstract
Ported coaxial cable technology was first developed in the mid-1970's in response to a growing need for high performance covert sensors for perimeter intrusion detection. Technology development over the years has lead to a number of different sensor products that have seen wide-spread application. The original ported coaxial cable sensors went through several generations of improvements-primarily in response to experience gained from thousands of installations worldwide. These early generations were essentially refinements to the original products, intended to incrementally improve detection and invalid alarm performance and also to increase reliability. For perspective, this paper provides a very brief historical review of the ported coaxial cable sensors that have been commercialized to date and introduces two new and innovative sensor configurations that have recently emerged from research and development programs at Senstar Corporation. The first is a new "single-cable" networked sensor introduced to the market as S/spl infin/Trax which significantly reduces installation costs and complexity by eliminating the need for a second buried cable-while retaining the detection zone characteristics and performance established by the original sensors. The second is a "totally covert" configuration that takes advantage of recent advances in semiconductor technology to further simplify installation and also offers a growth path for joint domain and multiple sensor integration.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".