User performance testing of the Perimitrax buried cable sensor
Bibliographic record
Abstract
Beginning in the 1970's buried cable sensors have been used extensively to provide perimeter intrusion detection for a wide range of military, government and industrial facilities around the world. In 1998, the U.S. Army Engineer Research and Development Center (USAERDC), in partnership with Senstar-Stellar Corporation, conducted testing of the Perimitrax buried cable sensor. Perimitrax is a new product manufactured by Senstar-Stellar that features an advanced leaky coaxial cable and digital signal processor for intruder detection and includes an integrated command and control system for alarm display, maintenance, and diagnostics. The Perimitrax technology was first introduced at the 1996 Carnahan Conference. The purpose of this testing, sponsored by the U.S. Air Force, Force Protection Command and Control Systems Program Office, was to determine the performance characteristics of the installed Perimitrax product, when deployed in a wide range of deployment mediums. Testing was conducted at an ERDC facility that featured three types of soil and three types of pavement in which Perimitrax sensor cables were installed and tested. This paper reviews features and characteristics of the sensor, outlines the test protect undertaken, and presents a summary and interpretation of results in order to guide the user in its successful application.
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 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".