Presentation + Paper
27 March 2018 Application of the actor model to large scale NDE data analysis
Author Affiliations +
Abstract
The Actor model of concurrent computation discretizes a problem into a series of independent units or actors that interact only through the exchange of messages. Without direct coupling between individual components, an Actor-based system is inherently concurrent and fault-tolerant. These traits lend themselves to so-called “Big Data” applications in which the volume of data to analyze requires a distributed multi-system design. For a practical demonstration of the Actor computational model, a system was developed to assist with the automated analysis of Nondestructive Evaluation (NDE) datasets using the open source Myriad Data Reduction Framework. A machine learning model trained to detect damage in two-dimensional slices of C-Scan data was deployed in a streaming data processing pipeline. To demonstrate the flexibility of the Actor model, the pipeline was deployed on a local system and re-deployed as a distributed system without recompiling, reconfiguring, or restarting the running application.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chris Coughlin "Application of the actor model to large scale NDE data analysis", Proc. SPIE 10602, Smart Structures and NDE for Industry 4.0, 1060205 (27 March 2018); https://doi.org/10.1117/12.2293345
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KEYWORDS
Data modeling

Nondestructive evaluation

Data analysis

Visual process modeling

Detection and tracking algorithms

Machine learning

Statistical modeling

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