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Federal
Fleet Level Anomaly Detection of Aviation Safety Data
National Aeronautics and Space Administration —
For the purposes of this paper, the National Airspace System (NAS) encompasses the operations of all aircraft which are subject to air traffic control procedures. The... -
Federal
ASIAS - Some History
National Aeronautics and Space Administration —
The ASIAS effort builds on demonstrations that an open exchange of information contributes to improved aviation safety. ASIAS is a comprehensive effort, covering the... -
Federal
Inductive Monitoring System (IMS)
National Aeronautics and Space Administration —
IMS: Inductive Monitoring System The Inductive Monitoring System (IMS) is a tool that uses a data mining technique called clustering to extract models of normal... -
Federal
Anomaly Detection with Text Mining
National Aeronautics and Space Administration —
Many existing complex space systems have a significant amount of historical maintenance and problem data bases that are stored in unstructured text forms. The problem... -
Federal
General Purpose Data-Driven System Monitoring for Space Operations
National Aeronautics and Space Administration —
Modern space propulsion and exploration system designs are becoming increasingly sophisticated and complex. Determining the health state of these systems using... -
Federal
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
National Aeronautics and Space Administration —
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases,... -
Federal
Pseudo-Label Generation for Multi-Label Text Classification
National Aeronautics and Space Administration —
With the advent and expansion of social networking, the amount of generated text data has seen a sharp increase. In order to handle such a huge volume of text data,... -
Federal
Anomaly Detection in a Fleet of Systems
National Aeronautics and Space Administration —
A fleet is a group of systems (e.g., cars, aircraft) that are designed and manufactured the same way and are intended to be used the same way. For example, a fleet of... -
Federal
Learning to Improve Earth Observation Flight Planning
National Aeronautics and Space Administration —
This paper describes a method and system for integrating machine learning with planning and data visualization for the management of mobile sensors for Earth science... -
Federal
Modeling of Activities as Fuzzy Temporal Multivariable Problems
National Aeronautics and Space Administration —
Smart Home resident may be an Alzheimer patient needing continuous assistance and care giving. Because of forgetfulness, this person may realize activities of daily... -
Federal
Fuzzy Spatiotemporal Data Mining to Activity Recognition in Smart Homes
National Aeronautics and Space Administration —
A primary goal to design smart homes is to provide automatic assistance for the residents to make them able to live independently at home. Activity recognition is... -
Federal
Local L2 Thresholding Based Data Mining in Peer-to-Peer Systems
National Aeronautics and Space Administration —
In a large network of computers, wireless sensors, or mobile devices, each of the components (hence, peers) has some data about the global status of the system. Many... -
Federal
Application of Inductive Monitoring System to Plug Load Anomaly Detection
National Aeronautics and Space Administration —
NASA Ames Research Center’s Sustainability Base is a new 50,000 sq. ft. LEED Platinum office building. Plug loads are expected to account for a significant portion of... -
Federal
Orca
National Aeronautics and Space Administration —
Orca is a data-driven, unsupervised anomaly detection algorithm that uses a distance-based approach. It uses a novel pruning rule that allows it to run in nearly... -
Federal
Anomaly Detection for Complex Systems
National Aeronautics and Space Administration —
In performance maintenance in large, complex systems, sensor information from sub-components tends to be readily available, and can be used to make predictions about... -
Federal
ASIAS Symposium Presentations
National Aeronautics and Space Administration —
Aviation Safety Information Analysis and Sharing (ASIAS) Symposiusm Presentations: July 27-28, 2009