Roles and scope of system interface in integrated control system for multi disaster countermeasure
Bibliographic record
Abstract
Damages on human and physical properties have recently become significant due to natural disasters, such as earthquake and hurricanes, as well as social disasters, such as fire in subway and terrorist attacks using explosive.Notably, as buildings are becoming taller and more complex, demands on countermeasure to multi disasters, such as earthquake, fire, and flooding, are increasing for complex skyscraper facilities.Complex skyscraper facilities are equipped with constant management systems, such as facility management, lighting management, CCTV management, and parking management, as well as event-based emergency management system, such as fire control, flooding control, seismic detection, and wind detection.While part of the information for each system is currently being collected by a central monitoring system in the form of SI (system integration), it is difficult to perform SOP (standard operating procedure)-based integrated control because data protocols for sensors and receivers are different.An integrated system for efficient countermeasure/evacuation in complex skyscraper facilities is currently under development, and this study organizes the roles and scope of system interface for linkage of information among the integrated system, disaster information collection system, analysis system, and countermeasure system.The scope of disaster at this point was limited to earthquake, flooding, and fire.The system interface that is designed by this study is one of core modules for implementing an integrated system, and is to be used to present future directions for development of integrated CPS (Cyber Physical System) in countermeasure to disasters.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".