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Federal
Distributed Data Mining in Peer-to-Peer Networks
National Aeronautics and Space Administration —
Peer-to-peer (P2P) networks are gaining popularity in many applications such as file sharing, e-commerce, and social networking, many of which deal with rich,... -
Federal
DXC'09 Framework
National Aeronautics and Space Administration —
The DXC Framework is a collection of programs and APIs for running and evaluating diagnostic algorithms (DAs). It is complementary to system XML catalogs and... -
Federal
Distributed Diagnosis in Uncertain Environments Using Dynamic Bayesian Networks
National Aeronautics and Space Administration —
This paper presents a distributed Bayesian fault diagnosis scheme for physical systems. Our diagnoser design is based on a procedure for factoring the global system... -
Federal
Distributed Prognostics System Implementation on Wireless Embedded Devices
National Aeronautics and Space Administration —
Distributed prognostics is the next step in the evolution of prognostic methodologies. It is an important enabling technology for the emerging Condition Based... -
Federal
Distributed Monitoring of the R2 Statistic for Linear Regression
National Aeronautics and Space Administration —
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one... -
Federal
SAL and PVS Model of TTEthernet Synchronization Protocol
National Aeronautics and Space Administration —
Timed-Triggered Ethernet (or TTEthernet)is a communication infrastructure that enables the use of Ethernet in real-time, distributed systems. TTEthernet is compatible... -
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
Distributed Decision-Tree Induction in Peer-to-Peer Systems
National Aeronautics and Space Administration —
This paper offers a scalable and robust distributed algorithm for decision-tree induction in large peer-to-peer (P2P) environments. Computing a decision tree in such... -
Federal
Distributed Identification of Top-l Inner Product Elements and its Application in a Peer-to-Peer Network
National Aeronautics and Space Administration —
Inner product computation is an important primitive used in many techniques for feature dependency detection, distance computation, clustering and correlation... -
Federal
Modeling non-Gaussian time-varying vector autoregressive process
National Aeronautics and Space Administration —
We present a novel and general methodology for modeling time-varying vector autoregressive processes which are widely used in many areas such as modeling of chemical... -
Federal
Estimation of Time-Varying Autoregressive Symmetric Alpha Stable
National Aeronautics and Space Administration —
In the last decade alpha-stable distributions have become a standard model for impulsive data. Especially the linear symmetric alpha-stable processes have found... -
Federal
A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems
National Aeronautics and Space Administration —
In a large network of computers or wireless sensors, each of the components (henceforth, peers) has some data about the global state of the system. Much of the... -
Federal
Communication Optimizations for a Wireless Distributed Prognostic Framework
National Aeronautics and Space Administration —
Distributed architecture for prognostics is an essential step in prognostic research in order to enable feasible real-time system health management. Communication... -
Federal
Distributed Prognostic Health Management with Gaussian Process Regression
National Aeronautics and Space Administration —
Distributed prognostics architecture design is an enabling step for efficient implementation of health management systems. A major challenge encountered in such... -
Federal
A Local Asynchronous Distributed Privacy Preserving Feature Selection Algorithm for Large Peer-to-Peer Networks
National Aeronautics and Space Administration —
In this paper we develop a local distributed privacy preserving algorithm for feature selection in a large peer-to-peer environment. Feature selection is often used... -
Federal
Distributed Anomaly Detection using 1-class SVM for Vertically Partitioned Data
National Aeronautics and Space Administration —
There has been a tremendous increase in the volume of sensor data collected over the last decade for different monitoring tasks. For example, petabytes of earth...