A Centralized, Unidirectional Wireless Communication System for Monitoring Sensor
Bibliographic record
Abstract
There is a significant advantage in using a wireless wensor network in a mining environment because of the reduced installation and maintenance costs. The application considered here is the monitoring of the roof movement in underground mine rooms, which is used to provide a warning of a potential ceiling collapse. Since cables in the system are difficult to install, remove and are frequently damaged, the use of the wired monitoring system is limited in underground mines. Those problems can be solved by using a wireless sensor network to replace the wired system.\n\nThe focus of this research is to design and develop a wireless communication system that can be used to implement a wireless sensor network for monitoring roof movement in one mine room. Since a large number of portable, battery operated sensors are used, simple system architecture and low power consumption are required. Based on these criteria, the wireless communication system uses a unidirectional, centralized architecture combined with periodic monitoring to perform the monitoring task. The proposed system contains multiple Transmitter Units and one Receiver Unit. A protocol that is used to manage channel access is defined. The probability of collision for this protocol is analyzed and simulated. The prototype of the wireless communication system is implemented, which consists of a Transmitter Unit and a Receiver Unit. The protocols are implemented using reprogrammable devices to provide easy reconfiguration and update. The system prototype is tested in a laboratory, and the test results show that the defined data frame, containing a digitized input voltage, is transmitted and received correctly.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".