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PROBABILITY CALIBRATION BY THE MINIMUM AND MAXIMUM PROBABILITY SCORES IN...
PROBABILITY CALIBRATION BY THE MINIMUM AND MAXIMUM PROBABILITY SCORES IN ONE-CLASS BAYES LEARNING FOR ANOMALY DETECTION GUICHONG LI, NATHALIE JAPKOWICZ, IAN HOFFMAN, R. KURT... -
STS-59_GRD
STS-59 SIR-C Ground Range Product -
A KNOWLEDGE DISCOVERY STRATEGY FOR RELATING SEA SURFACE TEMPERATURES TO...
A KNOWLEDGE DISCOVERY STRATEGY FOR RELATING SEA SURFACE TEMPERATURES TO FREQUENCIES OF TROPICAL STORMS AND GENERATING PREDICTIONS OF HURRICANES UNDER 21ST-CENTURY GLOBAL WARMING... -
Structural dynamics information package
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Automated Discovery of Flight Track Anomalies
As new technologies are developed to handle the complexities of the Next Generation Air Transportation System (NextGen), it is increasingly important to address both current and... -
Assurance for Complex Systems
Presentation given by SRI NRA winners on Verification and Validation for Complex Systems. -
Knowledge-Based System to Support Plug Load Management
Electrical plug loads comprise an increasingly larger share of building energy consumption as improvements have been made to Heating, Ventilation, and Air Conditioning (HVAC)... -
Amazon data science challenge
Amazon data science challenge. -
Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms
The worldwide civilian aviation system is one of the most complex dynamical systems created. Most modern commercial aircraft have onboard flight data recorders that record... -
On The Performance Comparison of Gradient Type Joint-Process Est
In adaptive signal processing, joint process estimation plays an important role in various estimation problems. It is well known that a joint process estimator consists of two... -
DXC'11 Framework and Oracle
The DXC Framework is a collection of programs and APIs for running and evaluating diagnostic algorithms (DAs) under identical experimental conditions. It is complementary to... -
Understanding Human Error Based on Automated Analyses
This is a report on a continuing study of automated analyses of experiential textual reports to gain insight into the causal factors of human errors in aviation operations. The... -
Aging Methodologies and Prognostic Health Management for Electrolytic Capacitors
Understanding the ageing mechanisms of electronic components critical avionics systems such as the GPS and INAV are of critical importance. Electrolytic capacitors and MOSFET’s... -
Towards a Framework for Evaluating and Comparing Diagnosis Algorithms
Diagnostic inference involves the detection of anomalous system behavior and the identification of its cause, possibly down to a failed unit or to a parameter of a failed unit.... -
An Event-based Distributed Diagnosis Framework using Structural Model Decomposition
Complex engineering systems require efficient on-line fault diagnosis methodologies to improve safety and reduce maintenance costs. Traditionally, diagnosis approaches are... -
RSW-CFL3D-Schuster-Fine Grid
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Aerospace Example
This is a textbook, created example for illustration purposes. The System takes inputs of Pt, Ps, and Alt, and calculates the Mach number using the Rayleigh Pitot Tube equation... -
Vehicle-Level Reasoning Systems: Integrating System-Wide data to Estimate...
One of the primary goals of Integrated Vehicle Health Management (IVHM) is to detect, diagnose, predict, and mitigate adverse events during the flight of an aircraft, regardless...