Mathematical Models TRIZ Cases
- Vehicle Travel Control Using Split State Matrices
Split state matrices and iterative updates cut control complexity in multi-vehicle traffic while preserving safe travel decisions.
- Autonomous Vehicle Sensor Label Transfer for Faster Training Data
Labels from overlapping sensor data on additional vehicles are mapped onto autonomous vehicle data to cut manual labeling time and enrich training sets.
- Telematics Crash Detection Using Predicted vs Observed Vehicle Response
By comparing predicted vehicle behavior with observed telematics and sensor data, this case improves real-time crash detection coverage and reliability.
- Hidden Markov Driving Variable Prediction for Driver Torque
Uses Hidden Markov state modeling to predict driver torque and pedal pressure in real time while capturing driver-to-driver variability.
- Thermostatic Load Bidding Under Feeder Power Constraints
Market-coordinated bids let thermostatic loads encode state and comfort preferences, easing network burden while managing feeder limits.
- Autonomous Vehicle Scenario Reasoning With Episodic Likelihoods
Multiple traffic scenarios are ranked with episodic memory and logic-based reasoning to speed autonomous vehicle decisions under incomplete data.
- Adaptive Parameter Range Updating for Low-Precision Control
Probability-based range updates let fixed-point adaptive parameters avoid clipping and preserve accuracy in ANN and PID control.
- Vehicle Object Recognition and Motion Prediction Optimization
Separate training of object recognition and motion prediction cuts vehicle processing load while improving future position accuracy.
- Mass Spectra Species Identification Using Ranked Glycolipid Ions
Ranked intensity features and binary classifiers turn sparse glycolipid mass spectra into accurate bacterial species identification.
- Vehicle Event Trigger Feedback for Real-Time Safety Detection
A local-server ML feedback loop refines vehicle safety event triggers to improve detection accuracy without delaying driver alerts.
- Autonomous Vehicle Decision Model Slicing for Transparent POMDP Tuning
Multivariate decision-space slices expose how observation pairs affect autonomous vehicle POMDP outputs and guide matrix tuning for clearer, more accurate decisions.
- Dynamic Network Island Event Localization by Component
A latent variable model disaggregates interruptions across changing network islands to pinpoint faulty components and improve response.
- Dynamic Grid Island Event Localization at Component Level
A latent variable model disaggregates dynamic grid island events to pinpoint faulty components and improve response during splitting and merging.