A 3GPP 4G Evolved Packet Core-based system architecture for QoS-enabled mobile video surveillance applications
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
Mobile video surveillance applications have become ubiquitous and are used in both civilian and military settings. They enable the capture, storage and transmission of video images over the Internet or other networks. This paper proposes a novel system architecture for mobile video surveillance applications. We leverage the 3GPP 4G Evolved Packet Core (EPC) to enable features such as guaranteed quality of service (QoS), which is not possible with the Internet, and even differentiated QoS, which is not possible with the other networks currently used in mobile video applications. The key components of our proposed architecture are the service development platform (SDP) and the machine to machine (M2M) gateway. The SDP enables the development and management of QoS-enabled mobile video surveillance applications. The M2M gateway enables interactions with the M2M devices, such as motion detectors and cameras. We have built a prototype with the Fraunhofer Fokus OpenEPC as 3GPP 4G EPC infrastructure and three AXIS network cameras as M2M devices. The architecture is presented along with the prototype. Related work is also reviewed.
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 | 0.001 | 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