Roles and scope of system interface in integrated control system for multi disaster countermeasure
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
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.
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 | 0.001 | 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 | 0.000 |
| 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