The Detection of Concealed Explosives Using the MiDSIX System
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
The detection of concealed explosives is an active area of concern for defence and security forces. Radar technology, with the ability to penetrate barriers and detect the motion of vibrating objects, provides an attractive method for detecting concealed threats and, thereby, protecting assets and lives. A system has been developed to detect concealed threats by inducing acoustically driven vibrations using a loudspeaker and measuring the resulting micro-Doppler signal. The prototype, known as the Micro-Doppler Signatures Indicating eXplosives (MiDSIX) system, is evaluated against replica improvised explosive devices (IEDs) concealed behind a variety of barriers that are constructed from common materials. The characterization of the induced micro-Doppler signal and the detection of concealed IEDs explosives are demonstrated in multiple settings. The MiDSIX system offers a new method for detecting concealed explosives that can be easily deployed with a flexible operation.
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 | 0.001 |
| 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