On Achieving Cyber-Physical Real-Time Snapshot Acquisition in Billboard/Signage Networks
Bibliographic record
Abstract
This paper explores a cyber-physical system (CPS) that enables a billboard viewer to instantaneously obtain the snapshot of the displayed media content upon a smartphone gesture. We first define an add-on device mounted to each billboard/signage, called media processing and content access box (MP-CAB), which collaborates with the content management server and the viewers' smartphones for achieving the desired applications. The detailed design of the MP-CAB will be presented, followed by introducing a simple yet efficient multicast scheduling approach in presence of lossy WiFi link and multiple viewers of heterogeneous receiving modes. We model the response delay of the proposed CPS which jointly considers a set of key parameters, such as file size, percentage of receiver modes, and length of snapshot cycles. Extensive case studies are conducted to provide in-depth analysis and gain insights into the proposed CPS and employed scheduling approach regarding the relationship among several operation parameters. Specifically, we look into the network operation and multicast scheduling settings for achieving minimal expected response delay and maximal image size, aiming to gain sufficient understanding of the behavior of the proposed CPS in the real-time content snapshot acquisition process.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".