LoRa Network Performance Analysis on Landslide Monitor for Landslide Disaster Mitigation in the Greater Malang Area
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 Greater Malang region, consisting of Malang City, Batu City and Malang Regency, has a high potential for landslides, influenced by varying topography. This study shows the potential for landslides and mitigation efforts in this region. Data from the Central Statistics Agency (BPS) records the number of landslide incidents, and the East Java Government has formed a Regional Disaster Management Agency (BPBD) for risk management. A research team from the National Institute of Technology Malang developed Landslide Monitor (LSdM), a Wireless Sensor Network (WSN) using Long Range (LoRa) technology. The main focus is on Quality of Service (QoS) of LoRa networks. Test results demonstrate LSdM's capabilities in Line of Sight (LoS) and Non Line of Sight (NLoS) conditions, with LoRa frequency analysis highlighting differences in packet loss rates. LSdM is expected to improve landslide disaster risk management in Greater Malang.
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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 it